CN116957521B - Flow approval system capable of being flexibly customized - Google Patents
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Abstract
The invention discloses a flexible self-defined flow approval system, which relates to the technical field of flow approval, wherein all approval information is grabbed through a data grabbing unit, the approval information is approval content initiated by any applicant, and then a halving unit is used for carrying out object analysis on all received approval information, and key words and general words are determined according to the content in the comparison approval information; searching the content from the company database; then, each piece of existing data is compared, and all reference data which can be used for referencing the examination and approval are determined, so that an examination and approval person is helped to examine and approve the examination and approval; meanwhile, the approval monitoring unit and the analysis unit can analyze the approval targets in the approval sequence of the user to determine which approval targets can be replaced and which can be kept continuously, so that the approval process can be rapidly carried out; the invention is simple and effective, and is easy and practical.
Description
Technical Field
The invention belongs to the technical field of flow approval, and particularly relates to a flexible self-defined flow approval system.
Background
The patent with publication number CN110110976A discloses a method for improving the role management efficiency of a flow approval system, wherein a management interface of the management system is provided with a basic role table, service line inheritance role tables of different service lines, and city information, basic role table information and service line information are added, modified or deleted by a role maintenance manager of the management system; each city is correspondingly provided with a basic character table, the table structure of the business line inheritance character table is the same as that of the basic character table, and the member information of the basic character table and the business line inheritance character table is maintained by a character maintenance manager. The method for improving the role management efficiency of the flow approval system can effectively solve the configuration workload when roles of the self-service and multi-role manager change, and also simplifies the system management complexity.
However, for the process of flow approval, how to perform the process approval more flexibly, overcomes some fixedly arranged approval processes, can synchronously set approval progress, and timely reminds approval personnel, so that the process of approval is prevented from being too tedious, and related data of a company database is also required to be consulted; based on this, a solution is now provided.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art.
To achieve the above object, an embodiment of the first aspect of the present invention provides a flexible and customizable process approval system, including:
a data grabbing unit for grabbing all approval information, wherein the approval information is the approval content initiated by any applicant, and specifically comprises a subject label, a label description, a label basis, an approval sequence and an initiator,
the data grabbing unit is used for transmitting all the grabbed approval information to the halving unit, the halving unit is used for carrying out object analysis on all the received approval information, and the specific mode of the object analysis is as follows:
step one: acquiring all examination and approval information, and optionally selecting one examination and approval information;
step two: obtaining corresponding target descriptions of the subject targets in the approval information, carrying out content analysis on the target descriptions, and comparing the obtained segmented words with the contents of the subject targets after carrying out word segmentation processing on the target descriptions so as to determine key segmented words and common segmented words according to comparison results;
step three: obtaining all key word and common word; searching the content of the company database according to the key word and the common word; then, comparing each piece of existing data to obtain the number of key words in each piece of existing data, marking the number of key words as a key number, and simultaneously obtaining the number of common words in the existing data, marking the number of common words as a common number;
calculating a composite time using the data, the composite time = critical time +0.5 x common time;
marking the mark with the comprehensive times exceeding X1 as reference data, wherein X1 is a preset value;
obtaining all reference data;
step four: processing the second to third steps for each approval information to obtain reference data of the approval information;
the grading unit is used for transmitting the approval information and the corresponding reference data thereof to the approval unit through the content calling unit, and the approval unit is used for approving according to a preset approval mode according to an approval sequence in the approval information.
Further, the subject mark is the subject of the examination and approval; the target description is the actual content description of the corresponding subject target, namely the concrete content explanation of the approval matters; the standard basis is the annex evidence uploaded by the corresponding user; the approval sequence is the corresponding authority personnel to be approved of the corresponding subject matter; the initiator is the corresponding approval information initiator.
Further, the concrete way of the content analysis in the second step is as follows:
the method comprises the steps of obtaining a subject matter and a corresponding subject matter description thereof, firstly performing word segmentation on the subject matter description, splitting the subject matter description into a plurality of words, and marking the obtained words as description words;
then removing conventional word segmentation in the descriptive word segmentation, wherein the conventional word segmentation is a preset word; marking the rest marks as content word segmentation after the deletion is completed;
then obtaining the residual content word, marking the residual content word as the common word, obtaining the common word,
obtaining corresponding subject matter, selecting a common word, sequentially selecting the composed words from the common word, comparing the words with all the words in the subject matter, obtaining the number of the same words in the common word and the subject matter, and marking the same words as co-occurrence numbers;
selecting the next common word and repeating to obtain the co-occurrence number of all the common words;
and marking the co-occurrence number as a keyword.
Further, the company database of the three steps stores all data contents of the company, and the data contents are marked as existing data.
Further, the method further comprises the following steps:
the approval monitoring unit is used for monitoring the approval process, automatically acquiring an approval sequence of the corresponding approval information in the newly-built process, acquiring all persons in the approval sequence, marking the approval sequence as an approval target, and transmitting the approval target to the analysis unit;
the analysis unit receives the approval targets transmitted by the approval monitoring unit and carries out accompanying analysis, and the specific mode of the accompanying analysis is as follows:
s1: automatically synchronizing the attendance conditions of all approval targets, and marking the approval targets in the unconventional attendance states as targets to be decompacted if the approval targets are in the unconventional attendance states such as business trip, leave and the like; the conventional attendance state refers to the work-on state of the approval target at the work station of the company;
s2: acquiring all marks of the leave-on or leave-on states of the users to be decompacted, wherein the marks are the leave-on marks, and the rest marks are unchanged;
s3: for the stored targets, when the stored targets exist in the approval sequence, the stored targets are automatically replaced by the approvers with the same approval level, the stored targets are marked as new approval targets, the current stored targets can be automatically skipped when the approvers with the same approval level are not available, the stored targets are automatically jumped to the approvers with the higher level, or the approval targets of the node are designated by the approvers with the higher level;
in the process, the corresponding higher level approver is automatically notified to assign the approval target; the higher level refers to the directly subordinate upper level of the storage target, and if no directly subordinate upper level exists, the current storage target is automatically skipped;
s4: when the label to be decompacted exists, automatically acquiring whether the current time period is a viewing time period or not, if so, automatically reserving the label to be decompacted, otherwise, processing the stored label in the same mode; the viewing period here is a preset period;
s5: and determining the completion approval sequence.
Further, the new process refers to the case that the approval process is being established and not submitted.
Further, the analysis unit is further used for transmitting the determined approval sequence to a later unit, and the later unit is used for correspondingly approving the approval targets in the approval sequence; monitoring the approval targets in any approval sequence, and when the approval targets are not approved in the time T1, automatically contacting the approver in other modes, wherein the other modes comprise telephone notification and the like; t1 is a preset value.
Further, the period of observation and rest can also be obtained through rest inertial analysis, and the detailed mode of rest inertial analysis is as follows:
obtaining all reaction time of the to-be-unlabeled in the time period of near T2 when approval is carried out, marking the to-be-unlabeled with the reaction time in T1 as a nano-label, automatically obtaining the time point of passing the approval of the nano-label, and marking the time point as the nano-label as the nano-time; t2 is a preset value;
then, dividing the time period into a potential time period from the beginning of working, dividing each T3 time into a plurality of potential time periods until the working time point is reached, and obtaining a plurality of potential time periods; t3 is a preset time;
acquiring all potential time periods, and simultaneously acquiring all the admissible targets and the admissible time thereof;
when any susceptable time falls into the potential period, automatically adding one to the hit value of the potential period; obtaining hit values of all potential time periods;
the corresponding potential period of the top three hit value ranks is marked as the viewing period.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, all the approval information is captured through the data capturing unit, the approval information is the approval content initiated by any applicant, then the bisection unit is used for carrying out object analysis on all the received approval information, and the key word segmentation and the general word segmentation are determined according to the content in the comparison approval information; searching the content from the company database; then, each piece of existing data is compared, and all reference data which can be used for referencing the examination and approval are determined, so that an examination and approval person is helped to examine and approve the examination and approval;
meanwhile, the approval monitoring unit and the analysis unit can analyze the approval targets in the approval sequence of the user to determine which approval targets can be replaced and which can be kept continuously, so that the approval process can be rapidly carried out; the invention is simple and effective, and is easy and practical.
Drawings
Fig. 1 is a system block diagram of the present invention.
Description of the embodiments
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Referring to fig. 1, the present application provides a flexible and customizable flow approval system, which as a first embodiment of the present application, specifically includes:
the device comprises a data grabbing unit, a dividing unit, a content calling unit and an approval submitting unit;
the data grabbing unit is used for grabbing all approval information, wherein the approval information is approval content initiated by any applicant and specifically comprises a subject mark, a mark description, a mark basis, an approval sequence and an initiator, wherein the subject mark is the subject of the approval, and can be generally expense reimbursement, purchase approval, leave-in or other types of specific content; the target description is the actual content description of the corresponding subject target, namely the concrete content explanation of the approval matters; the standard basis is the annex evidence uploaded by the corresponding user; the approval sequence is the corresponding authority personnel to be approved of the corresponding subject matter; the sponsor is the corresponding approval information sponsor;
the data grabbing unit is used for transmitting all the grabbed approval information to the halving unit, the halving unit is used for carrying out object analysis on all the received approval information, and the specific mode of the object analysis is as follows:
step one: acquiring all examination and approval information, and optionally selecting one examination and approval information;
step two: the method comprises the steps of obtaining corresponding target description of a subject target in approval information, and carrying out content analysis on the target description, wherein the specific mode of the content analysis is as follows:
the method comprises the steps of obtaining a subject matter and a corresponding subject matter description, firstly performing word segmentation on the subject matter description, splitting the subject matter description into a plurality of words by means of the prior art, and marking the obtained words as descriptive words;
the conventional word in the descriptive word is removed, wherein the conventional word is a preset word, and specifically can be understood as content without meaning, and can be generally "for example", "hello" and the like; marking the rest marks as content word segmentation after the deletion is completed;
then obtaining the residual content word, marking the residual content word as the common word, obtaining the common word,
obtaining corresponding subject matter, selecting a common word, sequentially selecting the composed words from the common word, comparing the words with all the words in the subject matter, obtaining the number of the same words in the common word and the subject matter, and marking the same words as co-occurrence numbers;
selecting the next common word and repeating to obtain the co-occurrence number of all the common words;
marking the co-occurrence number as a keyword;
step three: obtaining all key word and common word; searching the content of a company database according to the key word and the common word, wherein the company database stores all data content of the company, and marks the content as the existing data; then, comparing each piece of existing data to obtain the number of key words in each piece of existing data, marking the number of key words as a key number, and simultaneously obtaining the number of common words in the existing data, marking the number of common words as a common number;
calculating a composite time using the data, the composite time = critical time +0.5 x common time;
marking the mark with the comprehensive times exceeding X1 as reference data, wherein X1 is a preset value, the accurate point value is required to be adjustable high by a general user according to personal requirements, and the value can be adjusted down without being excessively accurate;
obtaining all reference data;
step four: processing the second to third steps for each approval information to obtain reference data of the approval information;
the grading unit is used for transmitting the approval information and the corresponding reference data thereof to the approval unit through the content calling unit, and the approval unit is used for approving in a sequential or alternative approval mode according to the approval sequence in the approval information, wherein the approval mode is preset by an administrator;
of course, as the second embodiment of the present application, the present embodiment focuses on monitoring the approval process of the presented approval content, and there are also multiple approval processes on the market, which exist in various OA office software, such as enterprise WeChat, nail, etc., and the problem that the present embodiment aims to solve the problem that the approval process has too long waiting time, and the problem that the corresponding approver cannot approve in time when asking for the false; based on this, the present embodiment includes:
the device comprises an approval monitoring unit, an analysis unit and a rear unit;
the approval monitoring unit is used for monitoring an approval process, automatically acquiring an approval sequence of corresponding approval information in a newly-built process, acquiring all persons in the approval sequence, marking the approval sequence as an approval target, and transmitting the approval target to the analysis unit; the new process refers to the condition that the approval process is being established and not submitted;
the analysis unit receives the approval targets transmitted by the approval monitoring unit and carries out accompanying analysis, and the specific mode of the accompanying analysis is as follows:
s1: automatically synchronizing the attendance conditions of all approval targets, and marking the approval targets in the unconventional attendance states as targets to be decompacted if the approval targets are in the unconventional attendance states such as business trip, leave and the like; the conventional attendance state refers to the work-on state of the approval target at the work station of the company;
s2: acquiring all marks of the leave-on or leave-on states of the users to be decompacted, wherein the marks are the leave-on marks, and the rest marks are unchanged;
s3: for the stored targets, when the stored targets exist in the approval sequence, the stored targets are automatically replaced by the approvers with the same approval level, the stored targets are marked as new approval targets, the current stored targets can be automatically skipped when the approvers with the same approval level are not available, the stored targets are automatically jumped to the approvers with the higher level, or the approval targets of the node are designated by the approvers with the higher level;
in the process, the corresponding higher level approver is automatically notified to assign the approval target; the higher level refers to the directly subordinate upper level of the storage target, and if no directly subordinate upper level exists, the current storage target is automatically skipped;
s4: when the label to be decompacted exists, automatically acquiring whether the current time period is a viewing time period or not, if so, automatically reserving the label to be decompacted, otherwise, processing the stored label in the same mode; the viewing period here is a preset period;
s5: determining a finishing approval sequence;
the analysis unit is used for transmitting the determined approval sequence to the rear unit, and the rear unit is used for correspondingly approving the approval targets in the approval sequence; monitoring the approval targets in any approval sequence, and when the approval targets are not approved in the time T1, automatically contacting the approver in other modes, wherein the other modes comprise telephone notification and the like; t1 is a preset value;
of course, as the third embodiment of the present application, the difference between the present embodiment and the second embodiment is that the period of observation and rest is not a preset value, and the period of observation and rest is obtained through inertia analysis, and the specific mode of inertia analysis is as follows:
obtaining all reaction time of the to-be-unlabeled in the time period of near T2 when approval is carried out, marking the to-be-unlabeled with the reaction time in T1 as a nano-label, automatically obtaining the time point of passing the approval of the nano-label, and marking the time point as the nano-label as the nano-time; t2 is a preset value, generally within 3-6 months, and is specifically set by an administrator;
then, dividing the time period into a potential time period from the beginning of working, dividing each T3 time into a plurality of potential time periods until the working time point is reached, and obtaining a plurality of potential time periods; t3 is a preset time, generally half an hour, and can be set to 1 hour according to the situation;
acquiring all potential time periods, and simultaneously acquiring all the admissible targets and the admissible time thereof;
when any susceptable time falls into the potential period, automatically adding one to the hit value of the potential period; obtaining hit values of all potential time periods;
the corresponding potential period of the top three hit value ranks is marked as the viewing period.
As an embodiment four of the present invention, the above embodiments are mainly implemented in a fusion manner, and the analysis of the period of observation and rest in the second embodiment and the third embodiment may be optionally performed according to the user's needs.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. A flexible, customizable process approval system, comprising:
the data grabbing unit is used for grabbing all approval information, wherein the approval information is approval content initiated by any applicant and specifically comprises a subject label, a label description, a label basis, an approval sequence and an initiator;
the data grabbing unit is used for transmitting all the grabbed approval information to the halving unit, the halving unit is used for carrying out object analysis on all the received approval information, and the specific mode of the object analysis is as follows:
step one: acquiring all examination and approval information, and optionally selecting one examination and approval information;
step two: obtaining corresponding target descriptions of the subject targets in the approval information, carrying out content analysis on the target descriptions, comparing the segmented words obtained after word segmentation processing on the target descriptions with the contents of the subject targets, and determining key segmented words and common segmented words according to comparison results;
step three: obtaining all key word and common word; searching the content of the company database according to the key word and the common word; then comparing the obtained keyword with each piece of existing data to obtain the number of keywords in each piece of existing data, marking the keyword as a key number, and simultaneously obtaining the number of common keywords in the existing data and marking the number of common keywords as a common number;
calculating a composite time using the data, the composite time = critical time +0.5 x common time;
marking the mark with the comprehensive times exceeding X1 as reference data, wherein X1 is a preset value;
obtaining all reference data;
step four: processing the second to third steps for each approval information to obtain reference data of the approval information;
the grading unit is used for transmitting the approval information and the corresponding reference data thereof to the approval unit through the content calling unit, and the approval unit is used for approving according to the approval sequence in the approval information and a preset approval mode;
the topic mark is the topic of the approval; the target description is the actual content description of the corresponding subject target, and the actual content description is the concrete content explanation of the approval matters; the standard basis is the annex evidence uploaded by the corresponding user; the approval sequence is the corresponding authority personnel to be approved of the corresponding subject matter; the sponsor is the corresponding approval information sponsor;
further comprises:
the approval monitoring unit is used for monitoring the approval process, automatically acquiring an approval sequence of the corresponding approval information in the newly-built process, acquiring all persons in the approval sequence, marking the approval sequence as an approval target, and transmitting the approval target to the analysis unit;
the analysis unit receives the approval targets transmitted by the approval monitoring unit and carries out accompanying analysis, and the specific mode of the accompanying analysis is as follows:
s1: automatically synchronizing the attendance conditions of all the approval targets, judging whether the attendance conditions are in an unconventional attendance state, and marking the approval targets in the unconventional attendance state as targets to be decompacted; the conventional attendance state refers to the work-on state of the approval target at the work station of the company;
s2: acquiring all marks to be de-marked, and replacing marks of leave-in or leave-on states in the marks to be de-marked with the leave-in marks, wherein the rest marks are marks to be de-marked;
s3: for the stored targets, when the stored targets exist in the approval sequence, the stored targets are automatically replaced by the approvers with the same approval level, the approvers with the same approval level after the replacement are marked as new approvers, the current stored targets can be automatically skipped when the approvers with the same approval level are not available, the high-level approvers can be automatically jumped, or the high-level approvers can be used for designating the new approved targets to replace the stored targets;
when the higher-level approver designates the approval target to replace the stored targets, the system automatically informs the corresponding higher-level approver to designate the approval target; the approval of the higher level is the directly subordinate of the artificial deposit target, if no directly subordinate exists, the current deposit target is automatically skipped;
s4: when the to-be-decompacted exists, automatically acquiring a current period, judging whether the current period is a viewing period, if so, automatically reserving the to-be-decompacted, otherwise, adopting the same mode of storing the rest mark in S3; the viewing period here is a preset period;
s5: and determining the completion approval sequence.
2. The flexible customized process approval system of claim 1, wherein the content analysis in the second step is specifically as follows:
the method comprises the steps of obtaining a subject matter and a corresponding subject matter description thereof, firstly performing word segmentation on the subject matter description, splitting the subject matter description into a plurality of words, and marking the obtained words as description words;
then removing conventional word segmentation in the descriptive word segmentation, wherein the conventional word segmentation is a preset word; marking the rest descriptive word as common word after deleting the conventional word;
obtaining corresponding subject matter, selecting a common word, sequentially selecting the composed words from the common word, comparing the words with all the words in the subject matter, obtaining the number of the same words in the common word as the subject matter, and marking the same words as the co-occurrence number;
sequentially selecting the next common segmentation word to obtain the co-occurrence number of all the common segmentation words;
and marking the co-occurrence number as a keyword.
3. The flexible customizable process approval system of claim 1, wherein the company database in step three stores all of the company data content, and the data content is marked as existing data.
4. The flexible customizable process approval system of claim 1, wherein the new process is a process in which an approval process is being established and not submitted.
5. The flexible customizable process approval system of claim 1, wherein the analysis unit is further configured to transmit the determined approval sequence to a post unit, and the post unit is configured to perform corresponding approval by an approval target in the approval sequence; monitoring the approval targets in any approval sequence, and automatically contacting an approver when the approval targets are not approved in the time T1; t1 is a preset value.
6. The flexible and customizable process approval system of claim 5, wherein the period of observation and rest is obtained by a rest inertial analysis, the rest inertial analysis comprising:
obtaining all reaction time of the to-be-unlabeled in the T2 time period when approval is carried out, marking the to-be-unlabeled with the reaction time in the T1 as a nano-label, automatically obtaining a time point of passing the approval of the nano-label, and marking the time point as the nano-label as the nano-time; t2 is a preset value;
then, dividing the time period into a potential time period from the beginning of working, dividing each T3 time into a plurality of potential time periods until the working time point, and obtaining a plurality of potential time periods; t3 is a preset time;
acquiring all potential time periods, and simultaneously acquiring all the admissible targets and the admissible time thereof;
when any susceptable time falls into the potential period, automatically adding one to the hit value of the potential period; obtaining hit values of all potential time periods;
the corresponding potential period of the top three hit value ranks is marked as the viewing period.
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| CN202311224011.3A CN116957521B (en) | 2023-09-21 | 2023-09-21 | Flow approval system capable of being flexibly customized |
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