CN113673969A - Big data analysis management system applied to scientific research expense management - Google Patents
Big data analysis management system applied to scientific research expense management Download PDFInfo
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Abstract
A big data analysis management system applied to scientific research expense management relates to the technical field of intelligent management. The data import unit is used for importing the research and development expense adjustment proportion of the management object with the research and development expense reevaluated and the research and development task completion condition of the management object; the cloud data management unit is used for storing the data imported by the data import unit; the comparison unit compares the research and development task completion condition of the management object of which the research and development expenses need to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and calls out the research and development expenses adjustment proportion of the management object with the highest similarity; the prompting unit prompts the user with the research and development expense adjustment ratio called by the comparison unit. It can undertake a part of analysis work at the management work of research and development cost, greatly reduced human cost input and artifical burden, and overall efficiency has obtained obvious promotion.
Description
Technical Field
The invention relates to the technical field of intelligent management, in particular to a big data analysis management system applied to scientific research expense management.
Background
At present, in the management work of researching and developing the expenses, the traditional management mode is continuously used, namely, the whole process is manually intervened, the evaluation is manually carried out, the qualification verification is manually carried out, the expense issuing and monitoring are manually carried out, the labor cost is very high, the efficiency is low, and the possibility of the occurrence of the artificial deviation is very high.
Disclosure of Invention
The invention aims to provide a big data analysis management system applied to scientific research and expense management, which can bear part of analysis work in the management work of research and development of the expenses, greatly reduce the labor cost input and the labor burden, obviously improve the overall efficiency, improve the data accuracy, reduce the overall work difficulty and reduce the overall cost.
The embodiment of the invention is realized by the following steps:
a big data analysis management system applied to scientific research expense management comprises:
the data import unit is used for importing the research and development expense adjustment proportion of the management object with the research and development expense reevaluated and the research and development task completion condition of the management object;
the cloud data management unit is used for storing the data imported by the data import unit;
the comparison unit is used for comparing the research and development task completion condition of the management object of which the research and development expenses need to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit and calling out the research and development expenses adjustment proportion of the management object with the highest similarity;
and the prompting unit is used for prompting the user of the research and development expense adjustment proportion called out by the comparison unit.
Further, the data import unit includes a mobile terminal application.
Further, the cloud data management unit also has a development expense management unit, and the development expense management unit includes: a data collection unit and an evaluation unit;
the data collection unit is used for acquiring the research and development subject completion condition of a management object and counting an initial completion index and research and development expense income, wherein the initial completion index is set as a research and development subject completion rate, and the research and development expense income is set as a difference value between the expense investment of the completed research and development subject and the expense investment of the incomplete research and development subject;
the evaluation unit is used for making an evaluation result according to the initial completion index and the development expense income: if the initial completion index of the management object is equal to 1, the correction completion index of the management object is 1; if the initial completion index of the management object is greater than or equal to 50% and less than 100%, and the research and development expense income is greater than 0, the correction completion index of the management object is the same as the initial completion index; if the initial completion index of the management object is less than 50% and the research and development expense income is greater than 0, determining the correction completion index of the management object according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment;
and the comparison unit compares the research and development task completion condition of the management object of which the research and development expense needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and the comparison comprises the steps of comparing the initial completion index, the research and development expense income and the correction completion index of the management object.
Furthermore, the research and development expense management unit also comprises a grading unit, wherein the grading unit comprises a first-level storage area, a second-level storage area and a third-level storage area; in the initial state, all the management objects are stored in the first-level storage area;
when the evaluation unit makes an evaluation result according to the initial completion index and the development expense income, the method further comprises the following steps: if the initial completion index of the management object is greater than or equal to 50% and less than 100%, and the research and development expense income is equal to 0, the correction completion index of the management object is the same as the initial completion index of the management object, and the management object is subjected to degradation processing; if the initial completion index of the management object is less than 50% and the research and development expense income is equal to 0, determining the correction completion index of the management object according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment, and performing degradation processing on the management object;
wherein the level of the first-level storage area > the level of the second-level storage area > the level of the third-level storage area, and the destaging process includes transferring the corresponding management object to a storage area of a lower level;
the comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and also compares the storage area where the management object is located.
Further, when the evaluation unit makes an evaluation result according to the initial completion index and the development expense profit, the evaluation unit further includes: if the initial completion index of the management object is more than or equal to 50% and less than 100% and the research and development expense income is less than 0, determining the correction completion index of the management object according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment, and performing degradation processing on the management object; if the initial completion index of the management object is less than 50% and the research and development expense income is less than 0, marking a label for suspending the issuance of the research and development expense for the management object;
the comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and further comprises a label for comparing the management object.
Further, when the evaluation unit makes an evaluation result according to the initial completion index and the development expense profit, the evaluation unit further includes: if the initial completion index of the management object is equal to 0, a label for suspending the development expense issuance is marked for the management object.
Further, when the evaluation unit makes an evaluation result according to the initial completion index and the development expense profit, the evaluation unit further includes: if the management object is stored in the third-level storage area and subjected to the degradation processing, a label for suspending the development expense issuance is marked for the management object.
Furthermore, the evaluation unit is further configured to set an investigation period for the management objects in the second-level storage area and the third-level storage area, and if the initial completion indexes of the management objects in the investigation period are both equal to 1, perform upgrade processing on the corresponding management objects.
Furthermore, the evaluation unit is further configured to set an observation period for the management objects in the first-level storage area, and if the initial completion indexes of the management objects in the observation period are all equal to 1, label for promoting development and development expense investment is marked for the corresponding management objects.
Further, the evaluation unit is further configured to set a scouting period for the management object in the third-level storage area, and mark a label for suspending the issuance of the development expense for the management object if the initial completion index of the management object in the scouting period is greater than or equal to 50% and less than 100% and the development expense income is greater than 0, or the initial completion index of the management object in the scouting period is less than 50% and the development expense income is greater than 0.
The embodiment of the invention has the beneficial effects that:
in the use process of the big data analysis management system applied to scientific research expense management, for the management objects with re-evaluated research and development expenses, whether the research and development expenses are increased through evaluation, the research and development expenses are reduced through evaluation or the research and development expenses are evaluated to be unchanged, the research and development expense adjustment proportion of the re-evaluated management objects and the research and development task completion condition of the management objects are imported into the cloud data management unit through the data import unit. According to the collected related data of the research and development task completion condition-research and development expense adjustment proportion of the management object, a general corresponding relation and rule of the research and development task completion condition-research and development expense adjustment proportion are formed in the cloud data management unit.
When the research and development expenses of a new management object need to be reevaluated, the research and development task completion condition of the management object of which the research and development expenses need to be reevaluated is compared with the research and development task completion condition of the management object in the cloud data management unit, the research and development expense adjustment proportion of the management object with the highest similarity is called out, and the research and development expense adjustment proportion called out by the comparison unit is prompted to a user through the prompting unit so as to use the corresponding research and development expense adjustment proportion for reference.
Therefore, guidance suggestions can be given to subsequent re-evaluation work to a certain extent according to the re-evaluation work which occurs, and the follow-up re-evaluation work does not need to be manually re-evaluated once every time, so that the management efficiency of research and development expense management work is greatly improved, and the labor cost is greatly reduced. Along with more and more related data of 'research and development task completion condition-research and development expense adjustment proportion' stored in the cloud data management unit, the research and development expense adjustment proportion given by the prompting unit is more accurate, and the reference value is higher and higher.
In general, the big data analysis management system applied to scientific research and expense management provided by the embodiment of the invention can bear part of analysis work in the management work of research and development expenses, so that the labor cost input and the labor burden are greatly reduced, the overall efficiency is obviously improved, the data accuracy is also improved, the overall work difficulty is reduced, and the overall cost is also reduced.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic configuration diagram of a big data analysis management system applied to scientific research expense management according to embodiment 1 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Example 1
Referring to fig. 1, the present embodiment provides a big data analysis management system for scientific research expense management, including: the cloud data management system comprises a data import unit, a cloud data management unit, a comparison unit and a prompt unit.
The data import unit is used for importing the research and development expense adjustment proportion of the management object with the research and development expense reevaluated and the research and development task completion condition of the management object;
the cloud data management unit is used for storing the data imported by the data import unit;
the comparison unit compares the research and development task completion condition of the management object of which the research and development expenses need to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and calls out the research and development expenses adjustment proportion of the management object with the highest similarity;
the prompting unit prompts the research and development expense adjustment proportion called by the comparison unit to a user.
In the using process, for the management objects with re-evaluated development expenses, whether the development expenses are increased through evaluation, the development expenses are reduced through evaluation or the development expenses are not changed through evaluation, the research and development expense adjustment proportion of the re-evaluated management objects and the research and development task completion condition of the management objects are imported into the cloud data management unit through the data import unit. According to the collected related data of the research and development task completion condition-research and development expense adjustment proportion of the management object, a general corresponding relation and rule of the research and development task completion condition-research and development expense adjustment proportion are formed in the cloud data management unit.
When the research and development expenses of a new management object need to be reevaluated, the research and development task completion condition of the management object of which the research and development expenses need to be reevaluated is compared with the research and development task completion condition of the management object in the cloud data management unit, the research and development expense adjustment proportion of the management object with the highest similarity is called out, and the research and development expense adjustment proportion called out by the comparison unit is prompted to a user through the prompting unit so as to use the corresponding research and development expense adjustment proportion for reference.
Therefore, guidance suggestions can be given to subsequent re-evaluation work to a certain extent according to the re-evaluation work which occurs, and the follow-up re-evaluation work does not need to be manually re-evaluated once every time, so that the management efficiency of research and development expense management work is greatly improved, and the labor cost is greatly reduced. Along with more and more related data of 'research and development task completion condition-research and development expense adjustment proportion' stored in the cloud data management unit, the research and development expense adjustment proportion given by the prompting unit is more accurate, and the reference value is higher and higher.
Generally, the big data analysis management system applied to scientific research and expense management can undertake a part of analysis work in the management work of research and development expenses, so that the labor cost investment and the labor burden are greatly reduced, the overall efficiency is obviously improved, the data accuracy is also improved, and the overall cost is reduced while the overall work difficulty is reduced.
In the present embodiment, the data import unit includes a mobile terminal application.
Further, the cloud data management unit also has a development expense management unit, and the development expense management unit includes: a data collection unit and an evaluation unit;
the data collection unit is used for acquiring the research and development subject completion condition of the management object and counting the initial completion index and the research and development expense income.
The initial completion index is set as the research and development topic completion rate, and the research and development topic completion rate is the ratio of the number of research and development topics completed by the management object in the assessment period to the total number of research and development topics by the management object in the assessment period. Such as: in an assessment period, a management object bears 10 research and development subjects in total, wherein 8 research and development subjects are completed, and 2 research and development subjects are unqualified without being completed. Then the completion rate of the development project of the management object in the assessment period is 80%, and then the initial completion index of the management object is 80%.
The development expense profit is set to be a difference between the expense investment of the completed development issue and the expense investment of the incomplete development issue. For example, if the total development cost investment for 8 completed development projects is 80 ten thousand, and the total development cost investment for 2 incomplete development projects is 20 ten thousand, the development cost profit of the management object in the assessment period is 80-20-60 ten thousand.
The evaluation unit is used for making an evaluation result according to the initial completion index and the development expense income:
if the initial completion index of the management object is equal to 1, the modification completion index of the management object is 1.
If the initial completion index of the management object is greater than or equal to 50% and less than 100%, and the development expenditure profit is greater than 0, the corrected completion index of the management object is the same as the initial completion index thereof.
If the initial completion index of the management object is less than 50% and the research and development expense profit is greater than 0, the corrected completion index of the management object is determined according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment, and specifically comprises the following steps: the corrected completion index is the initial completion index (1 — unfinished development project cost investment/finished development project cost investment).
For example, in the above example, the ratio of the number of incomplete research and development issues to the number of complete research and development issues is 2/8, and the initial completion index of the management object is 80%, and then the correction completion index of the management object is 80% × (1-20 ten thousand/80 ten thousand) ═ 60%.
And the comparison unit compares the research and development task completion condition of the management object of which the research and development expense needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and the comparison comprises the steps of comparing the initial completion index, the research and development expense income and the correction completion index of the management object. And selecting the research and development expense adjustment proportion of the management object with the highest similarity of the initial completion index, the research and development expense income and the correction completion index in the cloud data management unit as a reference for prompting.
Further, the enterprise research and development expense management system further comprises a grading unit, and the grading unit comprises a first-level storage area, a second-level storage area and a third-level storage area. The management objects are initially stored in the first level storage area. Wherein the level of the first-level storage area > the level of the second-level storage area > the level of the third-level storage area.
When the evaluation unit makes an evaluation result according to the initial completion index and the development expense income, the method further comprises the following steps: and if the initial completion index of the management object is greater than or equal to 50% and less than 100% and the development expense income is equal to 0, the corrected completion index of the management object is the same as the initial completion index of the management object, and the management object is subjected to degradation processing.
If the initial completion index of the management object is less than 50% and the research and development expense earnings are equal to 0, the corrected completion index of the management object is determined according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment, and specifically comprises the following steps: the correction completion index is an initial completion index (1-incomplete development project cost investment/completed development project cost investment), and the management object is subjected to a destage process.
It should be noted that the destaging process includes transferring the corresponding management object to a storage area at a lower level; if the management object is originally stored in the first-level storage area, the management object is transferred from the first-level storage area to the second-level storage area when the degradation processing is carried out; if the management object is originally stored in the second-level storage area, the management object is transferred from the second-level storage area to the third-level storage area when the degradation processing is performed.
The comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and also compares the similarity of the storage area where the management object is located.
Further, in this embodiment, when the evaluation unit makes the evaluation result according to the initial completion index and the development expenditure revenue, the method further includes: if the initial completion index of the management object is greater than or equal to 50% and less than 100%, and the research and development expense profit is less than 0, the corrected completion index of the management object is determined according to the ratio of the initial completion index, the unfinished research and development issue expense investment, and the finished research and development issue expense investment, and specifically: a correction completion index (1-incomplete development project cost input/completed development project cost input) and performing degradation processing on the management object; and if the initial completion index of the management object is less than 50% and the development expense income is less than 0, marking a label for suspending the development expense issuance for the management object.
The comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and also compares the similarity of the labels of the management object.
Further, in this embodiment, when the evaluation unit makes the evaluation result according to the initial completion index and the development expenditure revenue, the method further includes: if the initial completion index of the management object is equal to 0, a label for suspending the development expense issuance is marked for the management object.
When the evaluation unit makes an evaluation result according to the initial completion index and the development expense income, the method further comprises the following steps: if the management object is stored in the third-level storage area and subjected to the degradation processing, a label for suspending the development expense issuance is marked for the management object.
Furthermore, the evaluation unit is further configured to set an investigation period for the management objects in the second-level storage area and the third-level storage area, and if the initial completion indexes of the management objects in the investigation period are both equal to 1, perform upgrade processing on the corresponding management objects. The length of the investigation period can be flexibly adjusted according to the actual situation. It should be noted that, if the management object is originally stored in the third-level storage area, the management object is transferred from the third-level storage area to the second-level storage area during the upgrade process; if the management object is originally stored in the second-level storage area, the management object is transferred from the second-level storage area to the first-level storage area during upgrading.
In addition, the evaluation unit is further configured to set a stay period for the management object in the third-level storage area, and mark a label for suspending the issuance of the development expense for the management object if the initial completion index of the management object in the stay period is greater than or equal to 50% and less than 100% and the development expense profit is greater than 0, or the initial completion index of the management object in the stay period is less than 50% and the development expense profit is greater than 0. Wherein, the length of the observation period can be flexibly adjusted according to the actual situation.
Furthermore, the evaluation unit is further configured to set an observation period for the management objects in the first-level storage area, and if the initial completion indexes of the management objects in the observation period are all equal to 1, label for promoting development and development expense investment is marked for the corresponding management objects. For the management object with the label for increasing the development and development expense investment, the completion condition of the conventional development and development problems is better, the development and development capacity and the completion capacity are excellent, more development and development tasks can be considered to be allocated to the management object, and more development and development funds can be allocated to the management object, so that the improvement of the profitability of the development and development expense is facilitated. Wherein, the length of the observation period can be flexibly adjusted according to the actual situation.
The comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and also compares the similarity of all the labels carried by the management object.
Through a series of improvements, the comparison of the comparison unit is more detailed and accurate, the comparison is more and more specific, the research and development ability of the management object and the utilization condition of the research and development expenses can be comprehensively evaluated from multiple aspects, for the management object with high similarity, the research and development ability, the research and development achievements, the research and development completion ability and the utilization ratio of the pressure development expenses are very close to each other, in this way, the research and development expenses adjustment proportion in the cloud data management unit is adopted as a reference, so that the research and development expenses management efficiency is greatly improved, and the management difficulty and the workload are reduced.
In conclusion, the big data analysis management system applied to scientific research and expense management can bear part of analysis work in research and development expense management work, so that the labor cost input and the labor burden are greatly reduced, the overall efficiency is obviously improved, the data accuracy is also improved, the overall work difficulty is reduced, and the overall cost is also reduced.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A big data analysis management system applied to scientific research expense management is characterized by comprising:
the data import unit is used for importing the research and development expense adjustment proportion of the management object with the research and development expense reevaluated and the research and development task completion condition of the management object;
the cloud data management unit is used for storing the data imported by the data import unit;
the comparison unit is used for comparing the research and development task completion condition of the management object of which the research and development expenses need to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit and calling out the research and development expenses adjustment proportion of the management object with the highest similarity;
and the prompting unit is used for prompting the research and development expense adjustment proportion called out by the comparison unit to a user.
2. The big data analysis management system applied to scientific research expense management according to claim 1, wherein the data import unit comprises a mobile terminal application.
3. The big data analysis management system applied to scientific research expense management according to claim 1, wherein the cloud data management unit further has a research and development expense management unit, and the research and development expense management unit comprises: a data collection unit and an evaluation unit;
the data collection unit is used for acquiring the research and development topic completion condition of a management object and counting an initial completion index and research and development expense earnings, wherein the initial completion index is set as a research and development topic completion rate, and the research and development expense earnings are set as a difference value between the expense investment of the completed research and development topic and the expense investment of the incomplete research and development topic;
the evaluation unit is used for making an evaluation result according to the initial completion index and the development expense income: if the initial completion index of the management object is equal to 1, the correction completion index of the management object is 1; if the initial completion index of the management object is greater than or equal to 50% and less than 100%, and the research and development expense income is greater than 0, the corrected completion index of the management object is the same as the initial completion index; if the initial completion index of the management object is less than 50% and the research and development expense income is greater than 0, determining the correction completion index of the management object according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment;
and the comparison unit compares the research and development task completion condition of the management object of which the research and development expense needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and the comparison unit compares the initial completion index, the research and development expense income and the correction completion index of the management object.
4. The big data analysis management system applied to scientific research expense management according to claim 3, wherein the research and development expense management unit further comprises a grading unit, and the grading unit comprises a first-stage storage area, a second-stage storage area and a third-stage storage area; in the initial state, all the management objects are stored in the first-level storage area;
when the evaluation unit makes an evaluation result according to the initial completion index and the development expense revenue, the evaluation unit further includes: if the initial completion index of the management object is greater than or equal to 50% and less than 100%, and the research and development expense income is equal to 0, the corrected completion index of the management object is the same as the initial completion index of the management object, and the management object is subjected to degradation processing; if the initial completion index of the management object is less than 50% and the research and development expense income is equal to 0, determining the correction completion index of the management object according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment, and degrading the management object;
wherein the level of the primary storage area > the level of the secondary storage area > the level of the tertiary storage area, the destage process includes transferring the corresponding management object to a storage area at a lower level;
the comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and also compares the storage area where the management object is located.
5. The big data analysis and management system applied to scientific research expense management according to claim 4, wherein when the evaluation unit makes an evaluation result according to the initial completion index and the research and development expense profit, the evaluation unit further comprises: if the initial completion index of the management object is greater than or equal to 50% and less than 100% and the research and development expense income is less than 0, determining the correction completion index of the management object according to the ratio of the initial completion index, the unfinished research and development issue expense investment and the finished research and development issue expense investment, and degrading the management object; if the initial completion index of the management object is less than 50% and the research and development expense income is less than 0, marking a label for suspending the issuance of the research and development expense for the management object;
the comparison unit compares the research and development task completion condition of the management object of which the research and development expenditure needs to be reevaluated with the research and development task completion condition of the management object in the cloud data management unit, and further comprises a label for comparing the management object.
6. The big data analysis and management system applied to scientific research expense management according to claim 5, wherein when the evaluation unit makes an evaluation result according to the initial completion index and the research and development expense profit, the evaluation unit further comprises: if the initial completion index of the management object is equal to 0, a label for suspending the development expense issuance is marked for the management object.
7. The big data analysis and management system applied to scientific research expense management according to claim 5, wherein when the evaluation unit makes an evaluation result according to the initial completion index and the research and development expense profit, the evaluation unit further comprises: and if the management object is stored in the third-level storage area and subjected to degradation processing, marking a label for suspending the development expense issuance for the management object.
8. The big data analysis and management system applied to scientific research expense management according to claim 5, wherein the evaluation unit is further configured to set an investigation period for the management objects in the second-level storage area and the third-level storage area, and if the initial completion indexes of the management objects in the investigation period are both equal to 1, perform an upgrade process on the corresponding management objects.
9. The big data analysis and management system applied to scientific research and expense management according to claim 5, wherein the evaluation unit is further configured to set an observation period for the management objects in the first-level storage area, and mark a label promoting development and expense investment for the corresponding management object if the initial completion indexes of the management objects in the observation period are all equal to 1.
10. The big data analysis and management system applied to scientific research and expense management according to claim 5, wherein the evaluation unit is further configured to set a stay period for the management object in the third-level storage area, and mark a label for suspending the issuance of the research and development expense for the management object if the initial completion index of the management object in the stay period is greater than or equal to 50% and less than 100% and the research and development expense profit is greater than 0, or the initial completion index of the management object in the stay period is less than 50% and the research and development expense profit is greater than 0.
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Application publication date: 20211119 |