CN116071173A - Intelligent processing system and method for travel data - Google Patents
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Abstract
The invention relates to an intelligent processing system and method of travel data, and relates to the field of data processing, wherein the system comprises an acquisition module for acquiring the travel data; the analysis module is used for carrying out data analysis on the acquired travel data and comprises a classification unit, a calculation unit, an adjustment unit, a correction unit, a compensation unit and a correction unit, wherein the classification unit is used for classifying travel items, the calculation unit is used for calculating a difference value, the adjustment unit is used for adjusting the difference value, the correction unit is used for correcting the adjusted difference value, the compensation unit is used for compensating the corrected difference value, and the correction unit is used for correcting the compensated difference value; the judging module is used for judging whether the travel fee application is normal or not; and the auditing module is used for auditing the differential label data. According to the invention, the accuracy of the differential value is ensured by calculating and adjusting the differential value, so that the auditing accuracy is improved, and the auditing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent processing system and method for travel data.
Background
At present, most universities adopt a network report platform based on travel audit, which is a mode of pre-pad support post-audit reimbursement, and budget cannot be managed and controlled in advance, so that difficulty and uncertainty are increased for post-reimbursement audit, and communication cost of business personnel and financial personnel is greatly increased; the great proportion of the expenditure of business trip is that the air ticket, the train ticket and the hotel accommodation, the cost of the part of the expenditure is greatly fluctuated along with factors such as travel market, region, season and the like, the cost cannot be effectively predicted, and the application budget amount is naturally never negotiated; most of the staff on the university are unfamiliar with the complete travel management system and various details, so that the expenditure of many pad branches only needs to be in line with the reimbursement system after the pad branches, and the staff lacks a prior budget cost control assistance system.
Chinese patent publication No.: CN111985903a discloses a method for auditing travel ticket information, which comprises obtaining travel ticket information filled by the applicant, wherein the travel ticket information comprises travel information, identity information and ticket vouchers, sending the identity information to an office automation system, so that the office automation system returns business trip application information corresponding to the identity information, receiving business trip application information sent by the office automation system, auditing the travel information according to the business trip application information, sending the ticket vouchers to an invoice voucher verification system for verification, extracting the ticket information from the ticket vouchers when the ticket vouchers pass through the verification, and carrying out verification on the ticket information according to the business trip application information. Therefore, the method is characterized in that the travel list information is checked according to the travel information, the identity information and the bill credential information filled by the applicant, and the conditions of whether the travel route is in compliance, whether the budget accords with hyperbranched and the like cannot be checked, so that the problem of low checking precision and low checking efficiency is caused.
Disclosure of Invention
Therefore, the invention provides an intelligent processing system and method for travel data, which are used for solving the problems of low auditing precision and low auditing efficiency caused by the fact that travel information, identity information and bill credential information filled by the applicant are used for auditing travel bill information and whether travel routes are in compliance, budget accords with hyperbranched conditions and the like in the prior art.
To achieve the above object, in one aspect, the present invention provides an intelligent processing system for travel data, comprising,
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring travel data, and the travel data comprises a travel project name, a travel mark, a post level of a traveler, a distance of a travel destination, a season of the travel destination, a travel type and travel planning route data;
the analysis module is used for carrying out data analysis on the acquired travel data and is connected with the acquisition module, the analysis module comprises a classification unit, a calculation unit, an adjustment unit, a correction unit, a compensation unit and a correction unit, the classification unit is used for classifying travel items according to the names of the travel items and is connected with the calculation unit, the calculation unit is used for calculating a difference value according to the classification of the travel items and is connected with the adjustment unit, the adjustment unit is used for adjusting the difference value according to the post job level of a traveler and is connected with the correction unit, the correction unit is used for correcting the adjusted difference value according to the distance of a travel destination and is connected with the compensation unit, the compensation unit is used for compensating the corrected difference value according to the seasons of the travel destination and is connected with the correction unit, and the correction unit is used for correcting the corrected difference value according to the travel type;
The judging module is used for judging whether the travel application is normal or not according to the corrected differential value, and is connected with the analyzing module;
and the auditing module is used for auditing the differential standard data according to the differential standard judging result, judging whether the auditing passes or not according to whether the differential travel planning route meets the requirements or not, and connecting the auditing module with the judging module.
Further, the classifying unit is used for acquiring the names of the travel items when classifying the travel items, matching the names with the names of the items in each preset item classification, and classifying the travel items according to the matching result, wherein the travel items are classified into transverse scientific research, longitudinal scientific research and non-scientific research; after the classification is completed, the calculating unit calculates a differential value a, and when the calculating unit calculates the differential value a, the calculating unit sets a=f/F0, wherein F is a travel item classification, and F0 is a preset travel item classification.
Further, when the adjustment unit adjusts the differential value A, the position level Z of the traveler is obtained and compared with each preset position level, and the differential value A is adjusted according to the comparison result,
when Z is less than or equal to Z1, the adjusting unit does not adjust;
when Z1 is smaller than Z2, the adjusting unit selects a first adjusting coefficient t1 to adjust the differential value A so as to increase the differential value A, and the t1 is smaller than 1.1;
When Z is more than or equal to Z2, the adjusting unit selects a second adjusting coefficient t2 to adjust the differential value A so as to increase the differential value A, and the t2 is more than 1.1 and less than 1.2;
wherein, Z1 is the first preset post stage, Z2 is the second preset post stage, Z1 is less than Z2, when the ith adjustment coefficient ti is selected to adjust the differential value A, i=1, 2 is set, the adjusted differential value is A ', and A' =A×ti is set.
Further, the correction unit obtains the distance M of the difference target land when the adjusted difference value A 'is corrected, compares the distance M with each preset difference target land distance, corrects the adjusted difference value A' according to the comparison result, wherein,
when M is less than or equal to M1, the correction unit does not perform correction;
when M1 is more than M2, the correction unit selects a first correction coefficient g1 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g1 is more than 1 and less than 1.2 is set;
when M is more than or equal to M2, the correction unit selects a second correction coefficient g2 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g2=g1+g1× (M-M2)/M is set;
wherein, M1 is a first preset target distance for business trip, M2 is a second preset target distance for business trip, M1 is less than M2, when the i-th correction coefficient gi is selected to correct the difference value a ', i=1, 2 is set, the corrected difference value is a ", and a" =a' ×gi is set.
Further, the compensation unit obtains a season of the business trip destination when compensating the corrected differential value A ', matches the season with a season of a preset business trip destination, compensates the corrected differential value A' according to the matching result, wherein,
when the season of the business trip destination is successfully matched with the season of the preset business trip destination, the compensation unit selects the compensation coefficient b to compensate the corrected difference value A ', setting 1 < b < 1.15 by increasing the corrected difference A ', the compensated difference value is A ', and A ' =A '. Times.b is set;
when the season of the business trip destination is not successfully matched with the season of the preset business trip destination, the compensation unit does not perform compensation.
Further, the correction unit obtains the type of the business trip when correcting the compensated difference value A' ", matches the type of the business trip with a preset type of the business trip, corrects the compensated difference value according to the matching result, wherein,
when the business trip type is matched with the preset business trip type, the correction unit selects a correction coefficient j to correct the compensated difference standard value, setting 1 < j < 1.1 with the compensated differential value A '", setting A" "=A'" x j with the corrected differential value A "";
When the business trip type does not match the preset business trip type, the correction unit does not perform correction.
Further, the judging module obtains the corrected difference value A ', compares the corrected difference value A' with a preset difference value A0, and judges whether the travel application is normal according to the comparison result, wherein,
when A "" > A0, the judging module judges that the travel fee application is abnormal;
when A "" -is less than or equal to A0, the judging module judges that the travel fee application is normal.
Further, the auditing module obtains the difference mark judging result when auditing the difference travel data, and auditing the difference travel data according to the difference mark judging result, wherein,
when the judgment result is that the travel label is abnormal, the auditing module audits the travel data;
and when the judging result is that the difference standard is normal, the auditing module does not audit.
Further, when auditing the travel data, the auditing module acquires the travel path planning route data, compares the route data with preset route data, judges whether the travel path planning route meets the requirements, if so, judges that the audit is passed, if not, judges that the audit is not passed, and triggers prompt information.
On the other hand, the invention provides an intelligent processing method of travel data, which comprises the following steps of,
step S1, acquiring travel data;
step S2, data analysis is carried out on the acquired travel data to accurately calculate a difference value, the travel item is classified according to the travel item name through a classification unit, the difference value is calculated according to the travel item classification through a calculation unit after the classification is completed, the difference value is adjusted according to the post level of the travel personnel through an adjustment unit after the calculation is completed, the adjusted difference value is corrected according to the distance of the travel destination through a correction unit after the adjustment is completed, the corrected difference value is compensated according to the season of the travel destination through a compensation unit after the correction is completed, and the corrected difference value is corrected according to the travel type through a correction unit after the compensation is completed;
step S3, judging whether the travel application is normal or not according to the corrected differential value;
and S4, auditing the differential standard data according to the differential standard judging result, and judging whether the audit is passed or not according to whether the differential travel planning route meets the requirements or not.
Compared with the prior art, the invention has the beneficial effects that the travel data are acquired through the acquisition module, wherein the travel data comprise the name of a travel project, the post level of travel personnel, the distance of a travel destination, the season of the travel destination, the travel type, the travel planning route data and the like, so that the accuracy of the travel data is ensured, the calculation accuracy of a difference value is ensured, the auditing accuracy is improved, and the auditing efficiency is improved; the acquired travel data is subjected to data analysis through an analysis module, and when the analysis is performed, travel items are classified according to the names of the travel items through a classification unit so as to determine the types of the items; calculating a differential value according to the item classification of the classified travel items by a calculating unit to calculate the differential value, and adjusting the differential value by an adjusting unit according to the post levels of the travel personnel to ensure the precision of the differential value so as to improve the auditing precision and the auditing efficiency; the correction unit corrects the regulated difference value according to the distance of the business trip destination to ensure the precision of the difference value, so as to improve the auditing precision and the auditing efficiency; compensating the corrected difference value by a compensation unit according to the season of the business trip destination so as to ensure the precision of the difference value and improve the auditing precision, thereby improving the auditing efficiency; correcting the compensated differential value by a correction unit according to the business trip type to ensure the precision of the differential value so as to improve the auditing precision and improve the auditing efficiency; judging whether the travel fee application is normal or not according to the corrected differential value by a judging module so as to determine whether the differential value is normal or not, so that the auditing precision is improved, and the auditing efficiency is improved; and auditing the differential standard data according to the differential standard judging result by an auditing module, judging whether the auditing passes or not according to whether the differential travel planning route meets the requirement or not, and improving the auditing precision so as to improve the auditing efficiency.
In particular, when classifying travel items, the classifying unit acquires the names of the travel items, matches the names with the names of the items in each preset item classification, classifies the travel items according to the matching result, and classifies the travel items into horizontal scientific research, vertical scientific research and non-scientific research so as to determine the item category to which the travel items belong; after classification is completed, the calculating unit calculates a differential value A, and when the calculating unit calculates the differential value A, the calculating unit sets A=F/F0, wherein F is a travel item classification, F0 is a preset travel item classification so as to calculate the differential value.
In particular, the difference value is regulated by the regulating unit to ensure the precision of the difference value so as to improve the auditing precision and the auditing efficiency; when the difference value A is regulated, the regulating unit acquires the post level Z of the trip personnel and compares the post level Z with each preset post level, and if Z is less than or equal to Z1, the regulating unit does not regulate;
if Z1 is more than Z2 and less than Z2, the adjusting unit selects a first adjusting coefficient t1 to adjust the differential value A so as to increase the differential value A, and the t1 is more than 1 and less than 1.1; if Z is more than or equal to Z2, the adjusting unit selects a second adjusting coefficient t2 to adjust the differential value A so as to increase the differential value A, and the t2 is more than 1.1 and less than 1.2; wherein, Z1 is the first preset post stage, Z2 is the second preset post stage, Z1 is less than Z2, when selecting the ith adjustment coefficient ti to adjust the differential value A, setting i=1, 2, setting the adjusted differential value as A ', setting A' =A×ti, thereby ensuring the precision of the differential value, improving the auditing precision, and improving the auditing efficiency.
In particular, the correction unit corrects the adjusted differential value A', so that the precision of the differential value is ensured, the auditing precision is improved, and the auditing efficiency is improved; the correction unit obtains the difference target ground distance M when the adjusted difference value A' is corrected, compares the difference target ground distance M with each preset difference target ground distance, and does not correct if M is less than or equal to M1; if M1 is more than M2, the correction unit selects a first correction coefficient g1 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g1 is more than 1 and less than 1.2 is set; if M is more than or equal to M2, the correction unit selects a second correction coefficient g2 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g2=g1+g1× (M-M2)/M is set; wherein, M1 is a first preset target ground distance for business trip, M2 is a second preset target ground distance for business trip, M1 is less than M2, when the i-th correction coefficient gi is selected to correct the difference value a ', i=1, 2 is set, the corrected difference value is a ", a ' =a ' ×gi is set, thereby ensuring the precision of the difference value, improving the precision of audit, and improving the efficiency of audit.
In particular, the corrected differential value A' is compensated by the compensation unit, so that the precision of the differential value is ensured, the auditing precision is improved, and the auditing efficiency is improved; the compensation unit obtains the season of the business trip destination when compensating the corrected difference value A ', matches the season with the season of the preset business trip destination, if the season of the business trip destination is successfully matched with the season of the preset business trip destination, the compensation unit selects a compensation coefficient b to compensate the corrected differential value A', setting 1 < b < 1.15 by increasing the corrected difference A ', the compensated difference value is A', and A '=A'. Times.b is set; if the season of the business trip destination is not successfully matched with the season of the preset business trip destination, the compensation unit does not compensate, so that the precision of a difference value is ensured, the auditing precision is improved, and the auditing efficiency is improved.
In particular, the correction unit corrects the compensated differential value A' "so as to ensure the precision of the differential value and improve the auditing precision and the auditing efficiency. The correction unit obtains the type of the business trip when correcting the compensated differential value A ' ", and matches the type of the business trip with a preset type of the business trip, if the type of the business trip matches the preset type of the business trip, the correction unit selects a correction coefficient j to correct the compensated differential value so as to increase the compensated differential value A ', setting 1 < j < 1.1, setting the corrected differential value to be A" ", and setting A" "=A" '. Times.j; if the business trip type is not matched with the preset business trip type, the correction unit does not correct, so that the precision of the difference value is ensured, the auditing precision is improved, and the auditing efficiency is improved.
In particular, when judging whether the travel application is normal or not, the judging module acquires the corrected difference value A', comparing the value with a preset difference value A0, and judging that the travel application is abnormal if A "" > A0 by the judging module; if A "" isless than or equal to A0, the judging module judges that the travel fee application is normal, and the normal travel fee application and the abnormal travel fee application are determined through judgment, so that the auditing precision is improved, and the auditing efficiency is improved.
In particular, when the auditing module is used for auditing the travel data, a difference mark judging result is obtained, the travel data is audited according to the difference mark judging result, and if the judging result is that the difference mark is abnormal, the auditing module is used for auditing the travel data; if the judging result is that the difference standard is normal, the auditing module does not audit so as to improve auditing accuracy and auditing efficiency.
In particular, when the auditing module is used for auditing travel data, the route data of the travel path planning is obtained, the route data is compared with the preset route data, whether the route data of the travel path planning meets the requirements is judged, if yes, the auditing is judged to pass, if not, the auditing is judged to not pass, and prompt information is triggered, so that the auditing precision is improved, and the auditing efficiency is improved.
In particular, by providing an intelligent processing method of travel data, the travel data is obtained through step S1; step S2, data analysis is carried out on the acquired travel data to accurately calculate a difference value, the travel item is classified according to the travel item name through a classification unit, the difference value is calculated according to the travel item classification through a calculation unit after the classification is completed, the difference value is adjusted according to the post level of the travel personnel through an adjustment unit after the calculation is completed, the adjusted difference value is corrected according to the distance of the travel destination through a correction unit after the adjustment is completed, the corrected difference value is compensated according to the season of the travel destination through a compensation unit after the correction is completed, and the corrected difference value is corrected according to the travel type through a correction unit after the compensation is completed; step S3, judging whether the travel application is normal or not according to the corrected differential value; and S4, auditing the differential standard data according to the differential standard judging result, and judging whether the audit is passed or not according to whether the differential travel planning route meets the requirements or not. So as to improve the auditing accuracy and the auditing efficiency.
Drawings
FIG. 1 is a schematic diagram of an intelligent processing system for travel data according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an analysis module according to an embodiment of the present invention;
fig. 3 is a flow chart of an intelligent processing method for travel data in an embodiment of the invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1-2, an intelligent processing system for travel data according to an embodiment of the invention includes,
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring travel data, and the travel data comprises travel project names, travel marks, post levels of travel staff, travel destination distance, seasons of travel destination, travel type, travel planning route data and the like;
the analysis module is used for carrying out data analysis on the acquired travel data and is connected with the acquisition module, the analysis module comprises a classification unit, a calculation unit, an adjustment unit, a correction unit, a compensation unit and a correction unit, the classification unit is used for classifying travel items according to the names of the travel items and is connected with the calculation unit, the calculation unit is used for calculating a difference value according to the classification of the travel items and is connected with the adjustment unit, the adjustment unit is used for adjusting the difference value according to the post job level of a traveler and is connected with the correction unit, the correction unit is used for correcting the adjusted difference value according to the distance of a travel destination and is connected with the compensation unit, the compensation unit is used for compensating the corrected difference value according to the seasons of the travel destination and is connected with the correction unit, and the correction unit is used for correcting the corrected difference value according to the travel type;
The judging module is used for judging whether the travel application is normal or not according to the corrected differential value, and is connected with the analyzing module;
and the auditing module is used for auditing the differential standard data according to the differential standard judging result, judging whether the auditing passes or not according to whether the differential travel planning route meets the requirements or not, and connecting the auditing module with the judging module.
Specifically, in this embodiment, the difference is marked as a travel standard, the travel type includes investigation, training, learning, participating, and the like, the season of the travel destination is a travel season or non-travel season of the travel destination during the travel, the distance of the travel destination is a distance between the travel starting place and the travel destination, and the job position of the traveler is a job position of the traveler, for example: the first-level post professor, the second-level post professor, the third-level post professor, the fourth-level post professor, the first-level post professor, the second-level post professor, the third-level post professor, the first-level post professor of the instructor, etc., are the post levels of the travelers, and the travel item name refers to the name of the item in which the travel participates, for example, the travel item name: a computer crime dynamic evidence obtaining mechanism research project, which is the name of the travel project.
Specifically, the embodiment is applied to intelligent audit of travel fees in universities, personnel plan the travel journey of the present time and estimate the cost of the whole travel activity before the business trip, the intelligent processing system of the travel data in the embodiment calculates the travel index value of the travel, judges the estimated travel expense according to the travel index value and audits the travel index data, and the system is used for auditing before the business trip, so that a series of problems of randomness, no targeting, expense, and the like of the personnel business trip can be avoided, the analysis module in the system is used for accurately calculating the travel index value to ensure the accuracy of the travel index value, so that the auditing accuracy is improved, and the auditing efficiency is improved.
Specifically, the embodiment obtains travel data through the obtaining module, wherein the travel data comprises a travel project name, a post level of a traveler, a distance of a travel destination, a season of the travel destination, a travel type, travel planning route data and the like, so as to ensure the accuracy of the travel data, ensure the calculation accuracy of a difference value, improve the auditing accuracy, and improve the auditing efficiency; the acquired travel data is subjected to data analysis through an analysis module, and when the analysis is performed, travel items are classified according to the names of the travel items through a classification unit so as to determine the types of the items; calculating a differential value according to the item classification of the classified travel items by a calculating unit to calculate the differential value, and adjusting the differential value by an adjusting unit according to the post levels of the travel personnel to ensure the precision of the differential value so as to improve the auditing precision and the auditing efficiency; the correction unit corrects the regulated difference value according to the distance of the business trip destination to ensure the precision of the difference value, so as to improve the auditing precision and the auditing efficiency; compensating the corrected difference value by a compensation unit according to the season of the business trip destination so as to ensure the precision of the difference value and improve the auditing precision, thereby improving the auditing efficiency; correcting the compensated differential value by a correction unit according to the business trip type to ensure the precision of the differential value so as to improve the auditing precision and improve the auditing efficiency; judging whether the travel fee application is normal or not according to the corrected differential value by a judging module so as to determine whether the differential value is normal or not, so that the auditing precision is improved, and the auditing efficiency is improved; and auditing the differential standard data according to the differential standard judging result by an auditing module, judging whether the auditing passes or not according to whether the differential travel planning route meets the requirement or not, and improving the auditing precision so as to improve the auditing efficiency.
Specifically, when classifying travel items, the classifying unit acquires the names of the travel items, matches the names of the travel items with the names of the items in each preset item classification, classifies the travel items according to the matching result, and classifies the travel items into transverse scientific research, longitudinal scientific research and non-scientific research; after the classification is completed, the calculating unit calculates a differential value a, and when the calculating unit calculates the differential value a, the calculating unit sets a=f/F0, wherein F is a travel item classification, and F0 is a preset travel item classification.
Specifically, in this embodiment, when matching the travel item name with the item names in each preset item category, matching may be performed by a preset keyword, for example, by determining which category of item the travel item name belongs to through the word number overlap ratio of the keyword, and matching may also be performed by searching for the travel item name in the item names in the preset item category.
Specifically, in the embodiment, when classifying travel items, the classification unit acquires the names of the travel items, matches the names of the travel items with the names of the items in each preset item classification, classifies the travel items according to the matching result, and classifies the travel items into horizontal scientific research, vertical scientific research and non-scientific research so as to determine the item category to which the travel items belong; after classification is completed, the calculating unit calculates a differential value A, and when the calculating unit calculates the differential value A, the calculating unit sets A=F/F0, wherein F is a travel item classification, F0 is a preset travel item classification so as to calculate the differential value.
Specifically, when the adjustment unit adjusts the differential value A, the position level Z of the traveler is obtained and compared with each preset position level, and the differential value A is adjusted according to the comparison result,
when Z is less than or equal to Z1, the adjusting unit does not adjust;
when Z1 is smaller than Z2, the adjusting unit selects a first adjusting coefficient t1 to adjust the differential value A so as to increase the differential value A, and the t1 is smaller than 1.1;
when Z is more than or equal to Z2, the adjusting unit selects a second adjusting coefficient t2 to adjust the differential value A so as to increase the differential value A, and the t2 is more than 1.1 and less than 1.2;
wherein, Z1 is the first preset post stage, Z2 is the second preset post stage, Z1 is less than Z2, when the ith adjustment coefficient ti is selected to adjust the differential value A, i=1, 2 is set, the adjusted differential value is A ', and A' =A×ti is set.
Specifically, in this embodiment, different marks are corresponding to the post levels of different travelers, for example, when the post level corresponding marks of the travelers take an airplane or a high-speed rail, two seats or one seat can be selected, or when the post level corresponding marks of the travelers take an airplane or a high-speed rail, one seat cannot be selected, so that the precision of the difference mark value can be ensured by adjusting the difference mark value according to the post level of the travelers.
Specifically, the embodiment adjusts the differential value through the adjusting unit to ensure the precision of the differential value, so as to improve the auditing precision and improve the auditing efficiency; when the difference value A is regulated, the regulating unit acquires the post level Z of the trip personnel and compares the post level Z with each preset post level, and if Z is less than or equal to Z1, the regulating unit does not regulate; if Z1 is more than Z2 and less than Z2, the adjusting unit selects a first adjusting coefficient t1 to adjust the differential value A so as to increase the differential value A, and the t1 is more than 1 and less than 1.1; if Z is more than or equal to Z2, the adjusting unit selects a second adjusting coefficient t2 to adjust the differential value A so as to increase the differential value A, and the t2 is more than 1.1 and less than 1.2; wherein, Z1 is the first preset post stage, Z2 is the second preset post stage, Z1 is less than Z2, when selecting the ith adjustment coefficient ti to adjust the differential value A, setting i=1, 2, setting the adjusted differential value as A ', setting A' =A×ti, thereby ensuring the precision of the differential value, improving the auditing precision, and improving the auditing efficiency.
Specifically, the correction unit obtains the difference target ground distance M when the adjusted difference value A 'is corrected, compares the difference target ground distance M with each preset difference target ground distance, corrects the adjusted difference value A' according to the comparison result, wherein,
When M is less than or equal to M1, the correction unit does not perform correction;
when M1 is more than M2, the correction unit selects a first correction coefficient g1 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g1 is more than 1 and less than 1.2 is set;
when M is more than or equal to M2, the correction unit selects a second correction coefficient g2 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g2=g1+g1× (M-M2)/M is set;
wherein, M1 is a first preset target distance for business trip, M2 is a second preset target distance for business trip, M1 is less than M2, when the i-th correction coefficient gi is selected to correct the difference value a ', i=1, 2 is set, the corrected difference value is a ", and a" =a' ×gi is set.
Specifically, in this embodiment, the destination of the business trip is different, and thus the distance of the destination of the business trip is different, and the distance is short and long, and thus the travel cost is different, and the difference in the difference values is different.
Specifically, in this embodiment, the correction unit corrects the adjusted differential value a', so as to ensure the accuracy of the differential value, and improve the auditing accuracy, thereby improving the auditing efficiency; the correction unit obtains the difference target ground distance M when the adjusted difference value A' is corrected, compares the difference target ground distance M with each preset difference target ground distance, and does not correct if M is less than or equal to M1; if M1 is more than M2, the correction unit selects a first correction coefficient g1 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g1 is more than 1 and less than 1.2 is set; if M is more than or equal to M2, the correction unit selects a second correction coefficient g2 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g2=g1+g1× (M-M2)/M is set; wherein, M1 is a first preset target ground distance for business trip, M2 is a second preset target ground distance for business trip, M1 is less than M2, when the i-th correction coefficient gi is selected to correct the difference value a ', i=1, 2 is set, the corrected difference value is a ", a ' =a ' ×gi is set, thereby ensuring the precision of the difference value, improving the precision of audit, and improving the efficiency of audit.
Specifically, the compensation unit obtains a season of the difference destination when compensating the corrected difference value A ', matches the season with a season of a preset difference destination, compensates the corrected difference value A' according to the matching result, wherein,
when the season of the business trip destination is successfully matched with the season of the preset business trip destination, the compensation unit selects the compensation coefficient b to compensate the corrected difference value A ', setting 1 < b < 1.15 by increasing the corrected difference A ', the compensated difference value is A ', and A ' =A '. Times.b is set;
when the season of the business trip destination is not successfully matched with the season of the preset business trip destination, the compensation unit does not perform compensation.
Specifically, the seasons of the destination of the business trip in this embodiment are different, the cost of the business trip is high and is in the form of air ticket, train ticket and hotel accommodation, and the cost of the part of the business trip is greatly fluctuated along with factors such as the travel market, region and season, for example, the season of the destination of the business trip is a travel season, so the cost of the air ticket, train ticket and hotel accommodation is higher than that of the non-travel season of the destination of the business trip. The season of the business trip destination in this embodiment refers to the travel season or non-travel season of the business trip destination. It can be understood that the method for acquiring the season of the destination of the business trip is not specifically limited in this embodiment, and can be freely set by a person skilled in the art, if the season of the destination of the business trip is corresponding to the month corresponding to the time period of the travel plan, other acquiring methods can be set, and only the requirement needs to be met. In this embodiment, when matching seasons of the destination, the seasons may be matched by months, for example, the month of the destination of the business trip is 10 months, the seasons of the destination of the business trip are preset to be 8 months, 9 months, and 10 months, when matching is performed, matching may be performed by means of month searching, if the preset month can be found, the season matching is judged to be successful, otherwise, the season matching is judged to be unsuccessful.
Specifically, the compensation unit compensates the corrected difference value A' so as to ensure the precision of the difference value, improve the auditing precision and improve the auditing efficiency; the compensation unit obtains the season of the business trip destination when compensating the corrected difference value A ', matches the season with the season of the preset business trip destination, if the season of the business trip destination is successfully matched with the season of the preset business trip destination, the compensation unit selects a compensation coefficient b to compensate the corrected differential value A', setting 1 < b < 1.15 by increasing the corrected difference A ', the compensated difference value is A', and A '=A'. Times.b is set; if the season of the business trip destination is not successfully matched with the season of the preset business trip destination, the compensation unit does not compensate, so that the precision of a difference value is ensured, the auditing precision is improved, and the auditing efficiency is improved.
Specifically, the correction unit acquires the type of the difference when correcting the compensated difference A' ", matches the type of the difference with a preset type of the difference, corrects the compensated difference according to the matching result, wherein,
When the business trip type is matched with the preset business trip type, the correction unit selects a correction coefficient j to correct the compensated difference standard value, setting 1 < j < 1.1 with the compensated differential value A '", setting A" "=A'" x j with the corrected differential value A "";
when the business trip type does not match the preset business trip type, the correction unit does not perform correction.
Specifically, the business trip types include investigation, training, learning, competition and the like, and the different business trip types correspond to different labels, for example, the labels corresponding to the competition types have travel assistance, the labels corresponding to the learning types have no assistance and the like, so that the accuracy of the label values can be ensured by compensating the label values according to the business trip types.
Specifically, the correction unit corrects the compensated differential value a' "so as to ensure the precision of the differential value, improve the auditing precision and improve the auditing efficiency. The correction unit obtains the type of the business trip when correcting the compensated differential value A ' ", and matches the type of the business trip with a preset type of the business trip, if the type of the business trip matches the preset type of the business trip, the correction unit selects a correction coefficient j to correct the compensated differential value so as to increase the compensated differential value A ', setting 1 < j < 1.1, setting the corrected differential value to be A" ", and setting A" "=A" '. Times.j; if the business trip type is not matched with the preset business trip type, the correction unit does not correct, so that the precision of the difference value is ensured, the auditing precision is improved, and the auditing efficiency is improved.
Specifically, the judging module obtains the corrected differential value A ', compares the corrected differential value A' with a preset differential value A0, judges whether the travel application is normal according to the comparison result, wherein,
when A "" > A0, the judging module judges that the travel fee application is abnormal;
when A "" -is less than or equal to A0, the judging module judges that the travel fee application is normal.
Specifically, in this embodiment, when the judging module judges whether the travel application is normal, the judging module obtains the corrected differential value a "", compares the corrected differential value a "", with the preset differential value A0, and judges that the travel application is abnormal if a "" > A0; if A "" isless than or equal to A0, the judging module judges that the travel fee application is normal, and the normal travel fee application and the abnormal travel fee application are determined through judgment, so that the auditing precision is improved, and the auditing efficiency is improved.
Specifically, the auditing module obtains the difference mark judging result when auditing the difference travel data, and audits the difference travel data according to the difference mark judging result, wherein,
when the judgment result is that the travel label is abnormal, the auditing module audits the travel data;
And when the judging result is that the difference standard is normal, the auditing module does not audit.
Specifically, in this embodiment, when the auditing module performs auditing on travel data, a difference standard judgment result is obtained, and the travel data is audited according to the difference standard judgment result, if the judgment result is that the difference standard is abnormal, the auditing module performs auditing on the travel data; if the judging result is that the difference standard is normal, the auditing module does not audit so as to improve auditing accuracy and auditing efficiency.
Specifically, when auditing the travel data, the auditing module acquires the travel path planning route data, compares the route data with preset route data, judges whether the travel path planning route meets the requirements, if so, judges that the audit is passed, if not, judges that the audit is not passed, and triggers prompt information.
Specifically, in this embodiment, the trigger may be to send a prompt message, and prompt the reason for not passing.
Specifically, in this embodiment, when the auditing module performs auditing on travel data, the auditing module obtains route data of the travel plan, compares the route data with preset route data, and determines whether the route of the travel plan meets the requirement, if yes, determines that the auditing is passed, if not, determines that the auditing is not passed, and triggers prompt information to improve the auditing accuracy, thereby improving the auditing efficiency.
Referring to fig. 3, an intelligent processing method for travel data according to an embodiment of the invention includes,
step S1, acquiring travel data;
step S2, data analysis is carried out on the acquired travel data to accurately calculate a difference value, the travel item is classified according to the travel item name through a classification unit, the difference value is calculated according to the travel item classification through a calculation unit after the classification is completed, the difference value is adjusted according to the post level of the travel personnel through an adjustment unit after the calculation is completed, the adjusted difference value is corrected according to the distance of the travel destination through a correction unit after the adjustment is completed, the corrected difference value is compensated according to the season of the travel destination through a compensation unit after the correction is completed, and the corrected difference value is corrected according to the travel type through a correction unit after the compensation is completed;
step S3, judging whether the travel application is normal or not according to the corrected differential value;
and S4, auditing the differential standard data according to the differential standard judging result, and judging whether the audit is passed or not according to whether the differential travel planning route meets the requirements or not.
Specifically, the embodiment provides an intelligent processing method for travel data, and the travel data is obtained through step S1; step S2, data analysis is carried out on the acquired travel data to accurately calculate a difference value, the travel item is classified according to the travel item name through a classification unit, the difference value is calculated according to the travel item classification through a calculation unit after the classification is completed, the difference value is adjusted according to the post level of the travel personnel through an adjustment unit after the calculation is completed, the adjusted difference value is corrected according to the distance of the travel destination through a correction unit after the adjustment is completed, the corrected difference value is compensated according to the season of the travel destination through a compensation unit after the correction is completed, and the corrected difference value is corrected according to the travel type through a correction unit after the compensation is completed; step S3, judging whether the travel application is normal or not according to the corrected differential value; and S4, auditing the differential standard data according to the differential standard judging result, and judging whether the audit is passed or not according to whether the differential travel planning route meets the requirements or not. So as to improve the auditing accuracy and the auditing efficiency.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (10)
1. An intelligent processing system for travel data, comprising,
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring travel data, and the travel data comprises a travel project name, a travel mark, a post level of a traveler, a distance of a travel destination, a season of the travel destination, a travel type and travel planning route data;
the analysis module is used for carrying out data analysis on the acquired travel data and is connected with the acquisition module, the analysis module comprises a classification unit, a calculation unit, an adjustment unit, a correction unit, a compensation unit and a correction unit, the classification unit is used for classifying travel items according to the names of the travel items and is connected with the calculation unit, the calculation unit is used for calculating a difference value according to the classification of the travel items and is connected with the adjustment unit, the adjustment unit is used for adjusting the difference value according to the post job level of a traveler and is connected with the correction unit, the correction unit is used for correcting the adjusted difference value according to the distance of a travel destination and is connected with the compensation unit, the compensation unit is used for compensating the corrected difference value according to the seasons of the travel destination and is connected with the correction unit, and the correction unit is used for correcting the corrected difference value according to the travel type;
The judging module is used for judging whether the travel application is normal or not according to the corrected differential value, and is connected with the analyzing module;
and the auditing module is used for auditing the differential standard data according to the differential standard judging result, judging whether the auditing passes or not according to whether the differential travel planning route meets the requirements or not, and connecting the auditing module with the judging module.
2. The intelligent processing system of travel data according to claim 1, wherein the classifying unit is configured to obtain a travel item name when classifying travel items, match the travel item name with item names in each preset item classification, and classify the travel items according to a matching result, and classify the travel items into a horizontal scientific research, a vertical scientific research and a non-scientific research; after the classification is completed, the calculating unit calculates a differential value a, and when the calculating unit calculates the differential value a, the calculating unit sets a=f/F0, wherein F is a travel item classification, and F0 is a preset travel item classification.
3. The intelligent processing system for travel data according to claim 2, wherein the adjusting unit obtains a post grade Z of the traveler when adjusting the differential value a, compares the post grade Z with each preset post grade, and adjusts the differential value a according to the comparison result,
When Z is less than or equal to Z1, the adjusting unit does not adjust;
when Z1 is smaller than Z2, the adjusting unit selects a first adjusting coefficient t1 to adjust the differential value A so as to increase the differential value A, and the t1 is smaller than 1.1;
when Z is more than or equal to Z2, the adjusting unit selects a second adjusting coefficient t2 to adjust the differential value A so as to increase the differential value A, and the t2 is more than 1.1 and less than 1.2;
wherein, Z1 is the first preset post stage, Z2 is the second preset post stage, Z1 is less than Z2, when the ith adjustment coefficient ti is selected to adjust the differential value A, i=1, 2 is set, the adjusted differential value is A ', and A' =A×ti is set.
4. The intelligent processing system according to claim 3, wherein the correction unit obtains the difference target distance M when the adjusted difference value A 'is corrected, compares the difference target distance M with each preset difference target distance, corrects the adjusted difference value A' according to the comparison result,
when M is less than or equal to M1, the correction unit does not perform correction;
when M1 is more than M2, the correction unit selects a first correction coefficient g1 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g1 is more than 1 and less than 1.2 is set;
When M is more than or equal to M2, the correction unit selects a second correction coefficient g2 to correct the adjusted differential value A 'so as to increase the adjusted differential value A', and g2=g1+g1× (M-M2)/M is set;
wherein, M1 is a first preset target distance for business trip, M2 is a second preset target distance for business trip, M1 is less than M2, when the i-th correction coefficient gi is selected to correct the difference value a ', i=1, 2 is set, the corrected difference value is a ", and a" =a' ×gi is set.
5. The intelligent processing system according to claim 4, wherein the compensation unit obtains a season of the destination of the business trip when compensating the corrected difference value A 'and matches the season with a season of a preset destination of the business trip, and compensates the corrected difference value A' according to the matching result,
when the season of the business trip destination is successfully matched with the season of the preset business trip destination, the compensation unit selects the compensation coefficient b to compensate the corrected difference value A ', setting 1 < b < 1.15 by increasing the corrected difference A ', the compensated difference value is A ', and A ' =A '. Times.b is set;
when the season of the business trip destination is not successfully matched with the season of the preset business trip destination, the compensation unit does not perform compensation.
6. The intelligent processing system according to claim 5, wherein the correction unit acquires the type of the business trip when correcting the compensated business trip value A' ", matches it with a preset type of the business trip, and corrects the compensated business trip value according to the matching result,
when the business trip type is matched with the preset business trip type, the correction unit selects a correction coefficient j to correct the compensated difference standard value, setting 1 < j < 1.1 with the compensated differential value A '", setting A" "=A'" x j with the corrected differential value A "";
when the business trip type does not match the preset business trip type, the correction unit does not perform correction.
7. The intelligent processing system according to claim 6, wherein the judging module acquires the corrected differential value A' and compares it with a preset differential value A0 when judging whether the travel application is normal or not, and judges whether the travel application is normal or not according to the comparison result,
when A "" > A0, the judging module judges that the travel fee application is abnormal;
when A "" -is less than or equal to A0, the judging module judges that the travel fee application is normal.
8. The intelligent processing system according to claim 1, wherein the auditing module obtains a criterion judgment result when auditing the travel data, and auditing the travel data according to the criterion judgment result, wherein,
when the judgment result is that the travel label is abnormal, the auditing module audits the travel data;
and when the judging result is that the difference standard is normal, the auditing module does not audit.
9. The intelligent processing system of travel data according to claim 8, wherein the auditing module obtains travel route planning data when auditing the travel data, compares the travel route planning data with preset travel route data, judges whether the travel route planning data meets requirements, if so, judges that the audit is passed, if not, judges that the audit is not passed, and triggers prompt information.
10. An intelligent processing method of travel data using the intelligent processing system of travel data according to any one of claims 1 to 9, comprising,
step S1, acquiring travel data;
step S2, data analysis is carried out on the acquired travel data to accurately calculate a difference value, the travel item is classified according to the travel item name through a classification unit, the difference value is calculated according to the travel item classification through a calculation unit after the classification is completed, the difference value is adjusted according to the post level of the travel personnel through an adjustment unit after the calculation is completed, the adjusted difference value is corrected according to the distance of the travel destination through a correction unit after the adjustment is completed, the corrected difference value is compensated according to the season of the travel destination through a compensation unit after the correction is completed, and the corrected difference value is corrected according to the travel type through a correction unit after the compensation is completed;
Step S3, judging whether the travel application is normal or not according to the corrected differential value;
and S4, auditing the differential standard data according to the differential standard judging result, and judging whether the audit is passed or not according to whether the differential travel planning route meets the requirements or not.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117689348A (en) * | 2024-01-30 | 2024-03-12 | 梓如商务旅行服务集团股份有限公司 | Travel data analysis system and method based on association analysis algorithm |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111210318A (en) * | 2018-11-06 | 2020-05-29 | 珠海格力电器股份有限公司 | Travel information query auxiliary method and terminal |
| CN112182372A (en) * | 2020-09-24 | 2021-01-05 | 国网商旅云技术有限公司 | Travel product recommendation method and device |
| CN114693906A (en) * | 2020-12-29 | 2022-07-01 | 中国科学院计算机网络信息中心 | Travel reimbursement abnormal behavior detection method and system based on space-time rule |
-
2022
- 2022-11-08 CN CN202211394386.XA patent/CN116071173A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111210318A (en) * | 2018-11-06 | 2020-05-29 | 珠海格力电器股份有限公司 | Travel information query auxiliary method and terminal |
| CN112182372A (en) * | 2020-09-24 | 2021-01-05 | 国网商旅云技术有限公司 | Travel product recommendation method and device |
| CN114693906A (en) * | 2020-12-29 | 2022-07-01 | 中国科学院计算机网络信息中心 | Travel reimbursement abnormal behavior detection method and system based on space-time rule |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117689348A (en) * | 2024-01-30 | 2024-03-12 | 梓如商务旅行服务集团股份有限公司 | Travel data analysis system and method based on association analysis algorithm |
| CN117689348B (en) * | 2024-01-30 | 2024-04-30 | 梓如商务旅行服务集团股份有限公司 | Travel data analysis system and method based on association analysis algorithm |
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