CN112559509A - Measurement economics analysis model and analysis method - Google Patents
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Abstract
The invention discloses a metrological economics analysis model, which comprises a data module, a frame module, a simulation module, a modification module and a storage module, wherein the data module provides original data, and buffers the input new data, provides data support for the analysis model, the framework module provides a model framework, by selecting and determining the prototype of the model and switching and using different frames, after the simulation model fuses and arranges the data and the frames, then, the simulation is carried out, the invention fuses the data and the frame by the matching use of the data selection unit, the frame selection unit and the fusion unit to form an analysis model, the construction of the analysis model is simple, and the data and the frame can be better fused, and the actual model is adjusted through the adjusting unit, so that the analysis effect of the model on the data is better, the analysis and prediction on the later-stage data are convenient, and the analysis effect of the metering economics is better.
Description
Technical Field
The invention relates to the technical field of metrological economics, in particular to a metrological economics analysis model and an analysis method.
Background
The measurement economics is based on a certain economic theory and statistical data, and uses mathematics, statistical methods and computer technology to establish an economic measurement model as a main means to quantitatively analyze and research an economic discipline with an economic variable relation with randomness characteristics, wherein the economic model refers to the mathematical expression of the economic theory, and is an analysis method which can describe the real world situation very simply, and the real world situation is composed of various main variables and secondary variables, which are very complicated, so that strict analysis cannot be performed or the analysis cannot be performed unless secondary factors are excluded;
however, the analysis model used in the current metrological economics cannot flexibly fuse data and a model framework, the analysis of the data by the analysis model is not thorough, the analysis efficiency of the analysis model is low, the flexibility between the model and the data is reduced, the fusion effect is poor, and the analysis effect on the metrological economics is limited.
Disclosure of Invention
The invention provides a metrological economics analysis model and an analysis method, which can effectively solve the problems that the analysis model used in the present metrological economics cannot flexibly fuse data and a model framework, the analysis of the data by the analysis model is not thorough, the analysis efficiency of the analysis model is low, the flexibility between the model and the data is reduced, the fusion effect is poor, and the analysis effect on the metrological economics is limited in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a metrological economics analysis model comprises a data module, a framework module, a simulation module, a modification module and a storage module;
the data module provides original data, caches input new data, provides data support for an analysis model, the frame module provides a model frame, a prototype of the model is determined by selecting, different frames are used by switching, the simulation model fuses and arranges the data and the frames, then simulation is carried out, the modification module searches and modifies errors occurring in the simulation, simulation is carried out again, and the storage module stores and classifies the simulated model;
the data module comprises an automatic input unit, a data cache unit, a data selection unit, a data updating unit and an original database;
the framework module comprises a model framework library, a framework updating unit, a framework selecting unit and a framework switching unit;
the simulation module comprises a fusion unit, an adjustment unit and a simulation unit;
the modification module comprises an error checking unit and a modification unit;
the storage module comprises a classification unit and a storage unit.
According to the technical scheme, the automatic input unit is connected with the data caching unit, the data caching unit is respectively connected with the data updating unit and the data selecting unit, and the original database is respectively connected with the data updating unit and the data selecting unit;
the automatic input unit inputs variable data, the variable data are cached to the data caching unit and are selectively used through the data selection unit, the data selection unit selects and uses original data in the original database and data in the data caching unit, the data of the data caching unit simultaneously enter the data updating unit, and new data which are not in the original database are added into the original database.
According to the technical scheme, the frame selection unit is respectively connected with the data selection unit, the model frame library and the frame switching unit, and the frame updating unit is respectively connected with the model frame library and the classification unit;
the framework selecting unit selects a proper framework from the model framework library, the framework switching unit switches the framework selected by the framework selecting unit for use, and the framework updating unit receives the updating data and updates the framework in the model framework library.
According to the technical scheme, the simulation unit is respectively connected with the fusion unit, the adjustment unit, the storage unit, the error checking unit and the modification unit, and the fusion unit is respectively connected with the frame selection unit and the adjustment unit;
the fusion unit fuses the data and the frames to form a metrological economics model, the frames can be fused to form different models through the frame switching unit, and the details of the metrological economics model formed through fusion are adjusted through the adjusting unit.
According to the technical scheme, the debugging unit is respectively connected with the simulation unit and the modification unit;
the error searching unit searches errors after simulation, and modifies the searched errors through the modifying unit, so that the simulation error rate is reduced.
According to the technical scheme, the storage unit is respectively connected with the simulation unit and the classification unit;
the storage unit stores the simulated model without errors, the classification unit classifies and copies the metrological economics model stored in the storage unit, and the model frame is transmitted to the frame updating unit.
An analysis method of a metrological economic analysis model comprises the following analysis steps:
s1, firstly, selecting the needed original data, and then inputting new data for standby;
s2, classifying the input new data, comparing the classified new data with the original data, and removing repeated data;
s3, inputting actual data for analysis, and reserving part of the actual data as verification data;
s4, operating the data through the model, and analyzing and predicting the result;
s5, inputting the independent variable data in the reserved part of actual data into the model, and comparing the input result with the actual result;
s6, performing model analysis according to the comparison result, and analyzing the effect of the analysis model;
and S7, switching the models to analyze again, finding out a proper model and improving the analysis efficiency.
According to the technical scheme, in the step S2, the original data and the new data are repeated, the repeated part in the new data is removed, the repeated part in the original data is reserved and selected for standby, the repeated data is marked, and when the new data is input, the repeated data is compared with the marked repeated data, so that repeated data input is avoided, and the data input efficiency is improved.
According to the technical scheme, in the step S3, the input amount of actual data is 80-90% of total data, 10-20% of the actual data is reserved, the actual data input first is packed and input in a whole mode, and the reserved actual data is only input into independent variable data.
According to the above technical solution, in S7, when switching the models, the data and the models are firstly classified and proposed, and after switching the models, the data is input and analyzed.
Compared with the prior art, the invention has the beneficial effects that:
1. through the cooperation use of data selection unit, frame selection unit and fusion unit, make and fuse between data and the frame, form analytical model, analytical model's the simple of setting up, and the fusion that can be better between data and the frame, adjust actual model through the adjustment unit again, make the model better to the analytic effect of data, the convenience is to the analytic prediction of later stage data, and the analytic effect of measurement economics is better.
2. Through setting up data cache unit, data updating unit, original database and data selection unit, the variable data of automatic input unit input, cache to data cache unit, select to use through the data selection unit, the data selection unit selects to use in original data in the original database and the data in the data cache unit, the data of data cache unit gets into the data updating unit simultaneously, add the new data that do not have in the original database to original database, make things convenient for the retrieval and the update of data, make the data save and take at any time in the database.
3. Through setting up classification unit and memory cell, classify the frame and the data of model and propose, convey the frame that will propose to frame updating unit to store to the model frame storehouse in, make the continuous update of data in the model frame storehouse, make things convenient for later stage to use more, make the continuous update of frame, adapt to the use needs of model.
4. When the original data and the new data are repeated, the repeated part in the new data is removed, the repeated part in the original data is reserved and selected for standby, the repeated data is marked, and when the new data is input, the repeated data is compared with the marked repeated data, so that the repeated input of the repeated data is avoided, and the data input efficiency is improved.
5. The method comprises the steps of integrally packaging and inputting most of actual data to perform analysis and prediction at the early stage of analysis of an analysis model, reserving a small part of actual data, independently inputting independent variable data in the reserved actual data to perform verification at the later stage, and adjusting the model through verified analysis, so that the analysis accuracy of the analysis model is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a block diagram of the architecture of the present analytical model;
FIG. 2 is a block diagram of the structure of the data module of the present invention;
FIG. 3 is a flow chart of the steps of the analysis method of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1-2, the present invention provides a technical solution, a metrology economics analysis model, which includes a data module, a framework module, a simulation module, a modification module, and a storage module;
the data module provides original data, caches input new data, provides data support for the analysis model, the frame module provides a model frame, a prototype of the model is determined by selecting, different frames are used by switching, the simulation model fuses and arranges the data and the frames, then simulation is carried out, the modification module searches and modifies errors occurring in the simulation, simulation is carried out again, and the storage module stores and classifies the simulated model;
the data module comprises an automatic input unit, a data cache unit, a data selection unit, a data updating unit and an original database;
the framework module comprises a model framework library, a framework updating unit, a framework selecting unit and a framework switching unit;
the simulation module comprises a fusion unit, an adjustment unit and a simulation unit;
the modification module comprises an error checking unit and a modification unit;
the storage module comprises a classification unit and a storage unit.
According to the technical scheme, the automatic input unit is connected with the data caching unit, the data caching unit is respectively connected with the data updating unit and the data selecting unit, and the original database is respectively connected with the data updating unit and the data selecting unit;
the automatic input unit inputs variable data, the variable data are cached to the data caching unit and are selectively used through the data selection unit, the data selection unit selects and uses original data in the original database and data in the data caching unit, the data of the data caching unit simultaneously enter the data updating unit, and new data which are not in the original database are added into the original database.
According to the technical scheme, the frame selection unit is respectively connected with the data selection unit, the model frame library and the frame switching unit, and the frame updating unit is respectively connected with the model frame library and the classification unit;
the framework selecting unit selects a proper framework from the model framework library, the framework switching unit switches the framework selected by the framework selecting unit for use, and the framework updating unit receives the updating data and updates the framework in the model framework library.
According to the technical scheme, the simulation unit is respectively connected with the fusion unit, the adjustment unit, the storage unit, the error checking unit and the modification unit, and the fusion unit is respectively connected with the frame selection unit and the adjustment unit;
the fusion unit fuses the data and the frames to form a metrological economics model, the frames can be fused to form different models through the frame switching unit, and the details of the metrological economics model formed through fusion are adjusted through the adjusting unit.
According to the technical scheme, the debugging unit is respectively connected with the simulation unit and the modification unit;
the error searching unit searches errors after simulation, and modifies the searched errors through the modifying unit, so that the simulation error rate is reduced.
According to the technical scheme, the storage unit is respectively connected with the simulation unit and the classification unit;
the storage unit stores the simulated model without errors, the classification unit classifies and copies the metering economics model stored in the storage unit, and the model frame is transmitted to the frame updating unit.
As shown in fig. 3, an analysis method of the metrological economic analysis model includes the following analysis steps:
s1, firstly, selecting the needed original data, and then inputting new data for standby;
s2, classifying the input new data, comparing the classified new data with the original data, and removing repeated data;
s3, inputting actual data for analysis, and reserving part of the actual data as verification data;
s4, operating the data through the model, and analyzing and predicting the result;
s5, inputting the independent variable data in the reserved part of actual data into the model, and comparing the input result with the actual result;
s6, performing model analysis according to the comparison result, and analyzing the effect of the analysis model;
and S7, switching the models to analyze again, finding out a proper model and improving the analysis efficiency.
According to the technical scheme, in the S2, the original data and the new data are repeated, the repeated part in the new data is removed, the repeated part in the original data is reserved and selected for standby, the repeated data is marked, and when the new data is input, the repeated data is compared with the marked repeated data, so that the repeated data is prevented from being input repeatedly, and the data input efficiency is improved.
According to the above technical solution, in S3, the actual data input amount is 85% of the total data, 15% of the actual data is retained, the actual data input first is packed and input as a whole, and the retained actual data is input only with the argument data.
According to the above technical solution, in S7, when switching the models, the data and the models are firstly classified and proposed, and after switching the models, the data is input and analyzed.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. 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 metrological economic analysis model characterised by: the system comprises a data module, a framework module, a simulation module, a modification module and a storage module;
the data module provides original data, caches input new data, provides data support for an analysis model, the frame module provides a model frame, a prototype of the model is determined by selecting, different frames are used by switching, the simulation model fuses and arranges the data and the frames, then simulation is carried out, the modification module searches and modifies errors occurring in the simulation, simulation is carried out again, and the storage module stores and classifies the simulated model;
the data module comprises an automatic input unit, a data cache unit, a data selection unit, a data updating unit and an original database;
the framework module comprises a model framework library, a framework updating unit, a framework selecting unit and a framework switching unit;
the simulation module comprises a fusion unit, an adjustment unit and a simulation unit;
the modification module comprises an error checking unit and a modification unit;
the storage module comprises a classification unit and a storage unit.
2. The economics analysis model of claim 1 wherein the automatic input unit is connected to a data cache unit, the data cache unit is connected to a data update unit and a data selection unit, respectively, and the original database is connected to the data update unit and the data selection unit, respectively;
the automatic input unit inputs variable data, the variable data are cached to the data caching unit and are selectively used through the data selection unit, the data selection unit selects and uses original data in the original database and data in the data caching unit, the data of the data caching unit simultaneously enter the data updating unit, and new data which are not in the original database are added into the original database.
3. The metrological economic analysis model of claim 1, wherein the framework selecting unit is connected with the data selecting unit, the model framework library and the framework switching unit respectively, and the framework updating unit is connected with the model framework library and the classifying unit respectively;
the framework selecting unit selects a proper framework from the model framework library, the framework switching unit switches the framework selected by the framework selecting unit for use, and the framework updating unit receives the updating data and updates the framework in the model framework library.
4. The economics analysis model of claim 1 wherein the simulation unit is connected to the fusion unit, the adjustment unit, the storage unit, the error checking unit and the modification unit, respectively, and the fusion unit is connected to the framework selection unit and the adjustment unit, respectively;
the fusion unit fuses the data and the frames to form a metrological economics model, the frames can be fused to form different models through the frame switching unit, and the details of the metrological economics model formed through fusion are adjusted through the adjusting unit.
5. The metrological economic analysis model of claim 1, wherein the debugging unit is connected with the simulation unit and the modification unit respectively;
the error searching unit searches errors after simulation, and modifies the searched errors through the modifying unit, so that the simulation error rate is reduced.
6. The metrological economic analysis model of claim 1, wherein the storage unit is connected with the simulation unit and the classification unit respectively;
the storage unit stores the simulated model without errors, the classification unit classifies and copies the metrological economics model stored in the storage unit, and the model frame is transmitted to the frame updating unit.
7. The method of analyzing a chemometrics analytical model according to any one of claims 1 to 6, comprising the steps of:
s1, firstly, selecting the needed original data, and then inputting new data for standby;
s2, classifying the input new data, comparing the classified new data with the original data, and removing repeated data;
s3, inputting actual data for analysis, and reserving part of the actual data as verification data;
s4, operating the data through the model, and analyzing and predicting the result;
s5, inputting the independent variable data in the reserved part of actual data into the model, and comparing the input result with the actual result;
s6, performing model analysis according to the comparison result, and analyzing the effect of the analysis model;
and S7, switching the models to analyze again, finding out a proper model and improving the analysis efficiency.
8. The analytical method of a mathematical economic analysis model according to claim 7, wherein in S2, the original data and the new data are duplicated, duplicate portions of the new data are removed, duplicate portions of the original data are retained and selected for standby, the duplicate data are marked, and when the new data is inputted, the comparison with the marked duplicate data is performed first, so as to avoid inputting duplicate data repeatedly and improve data input efficiency.
9. The analytical method of a chemometrics analysis model according to claim 7, wherein in S3, the input amount of actual data is 80-90% of the total data, 10-20% of the actual data is reserved, the actual data input first is packed and input in its entirety, and the reserved actual data is input only in the independent variable data.
10. The analytical method of a mathematical economic analysis model of claim 7, wherein in step S7, the data and the model are classified and extracted before switching the model, and then the data is inputted for analysis after switching the model.
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| KR20190004605A (en) * | 2017-07-04 | 2019-01-14 | 주식회사 케이티 | Apparatus and method for generating energy simulation model |
| CN109857987A (en) * | 2019-02-21 | 2019-06-07 | 杨博文 | One kind being used for econometrics analysis model and quantitative analysis method |
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