CN111782720A - Graphical method, system and terminal for rapidly detecting and positioning transaction effect - Google Patents
Graphical method, system and terminal for rapidly detecting and positioning transaction effect Download PDFInfo
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Abstract
The invention provides a graphical method, a graphical system and a graphical terminal for rapidly detecting and positioning a study effect, which solve the problems that in the prior art, the overall study condition is represented by numbers or symbols, a large amount of quality information covered in study indexes is lost, and advantages and short boards of schools are difficult to be rapidly positioned and detected in a large number of study indexes, so that the quality evaluation work efficiency of each study unit is greatly reduced. The invention utilizes the illustrated various transaction indexes to reflect the performance of the various transaction indexes in various groups of transaction units, thereby not only ensuring that a large amount of quality information covered in the transaction indexes is not lost, but also helping the transaction units to quickly detect the performance of schools on the various transaction indexes and quickly position the advantages and short boards for the transaction, and greatly improving the efficiency of performance evaluation and management work of the various transaction units.
Description
Technical Field
The invention relates to the field of visualization of transaction effects, in particular to a graphical method, a graphical system and a graphical terminal for rapidly detecting and positioning transaction effects.
Background
Under the influence of a new public management theory, the performance evaluation result is taken as the efficiency orientation of the study level of a study unit and the public resource allocation basis, and the method quickly becomes an important direction for the reform of the education system and the policy adjustment in China. From the teaching evaluation of the subject to the evaluation of the colleges and universities' level of study, from the subject evaluation to the evaluation of various projects, researches and talent projects, from the teacher teaching evaluation to the evaluation of the academic level, higher education evaluation and quality culture are gradually deepened into the mind. Nowadays, a large number of the indexes of the institution are monitored daily, for example, thousands of the indexes of the institution are covered in the basic statistical report of higher education institution filed every year in the department of education.
In the face of massive indexes and data, most evaluation tools generally integrate the performances of an office unit on a series of indexes into a score, grade, ranking or gear according to a set of index system. For example: the final result is divided into four types of excellent, good, qualified and unqualified by the national teaching quality evaluation, and different scores correspond to different results; the fourth round of subject evaluation developed by the educational department center is according to the rank percentile of the overall level scores of each subject, and 70% of subjects before ranking are published in 9 grades: the first 2 percent (or the first 2 names) is A +, 2 to 5 percent is A (without 2 percent, the same below), 5 to 10 percent is A-, 10 to 20 percent is B +, 20 to 30 percent is B, 30 to 40 percent is B-, 40 to 50 percent is C +, 50 to 60 percent is C, and 60 to 70 percent is C-. College leaderboards such as Chinese college evaluation, Chinese best college ranking and the like are ranked from high to low according to the final score of the school, and the ranking rank is taken as a representative of the high or low level of the study.
Regardless of the score, grade, ranking or gear, it is inevitable to simplify the overall handling of the handling unit into a simple number or symbol, thereby losing a large amount of quality information covered in the handling index. The learning units can trace the quality of each single evaluation index performance of the school according to the final score, grade, ranking, gear and the like, but the method is not visual and convenient, and the advantages and short boards of the school are difficult to be positioned and detected in a large number of learning indexes, so that the performance evaluation and management efficiency of each learning unit is greatly reduced.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide a method for detecting and locating the handling effect, which is used to solve the problems that the work efficiency of performance evaluation and management of each handling unit is greatly reduced because the general handling situation is represented by numbers or symbols, not only a large amount of quality information covered in the handling indexes is lost, but also the advantages and short boards of the school are difficult to be quickly located and detected in a large amount of handling indexes.
To achieve the above and other related objects, the present invention provides a graphical method for rapidly performing detection and localization of the effects of a study, the method comprising: collecting numerical values of each learning effect parameter of a learning unit, and obtaining first data corresponding to each learning effect parameter; summarizing the first data to each transaction effect dimension parameter, and obtaining second data corresponding to each transaction effect dimension parameter; obtaining the positioning result of each office effect parameter in the same group of office units according to the first data, and graphically displaying to obtain an office effect parameter positioning icon; obtaining the positioning result of the transaction effect dimension parameters in the same group of transaction units according to the second data, and performing graphical representation to obtain a transaction effect dimension parameter positioning icon; and classifying and screening the office effect parameter positioning icons and the office effect dimension parameter positioning icons to obtain a plurality of groups of office effect graphical results.
In an embodiment of the invention, the positioning result of the effect parameters in the same group of institutions is obtained according to the first data, and is graphically illustrated to obtain the effect parameter positioning icon: obtaining a positioning result of each of the transaction effect parameters in the same group of transaction units according to the first data, wherein the positioning result comprises: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result; graphically representing the positioning result to obtain a fixed-shape office effect parameter positioning icon corresponding to the positioning result, wherein the office effect parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results.
In an embodiment of the invention, the positioning result of the transaction effect dimension parameters in the same group of transaction units is obtained according to the second data, and is graphed to obtain the positioning icon of the transaction effect dimension parameters: and obtaining a positioning result of the transaction effect dimension parameters in the same group of transaction units according to the second data, wherein the positioning result comprises: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result; graphically representing the positioning result to obtain a fixed-shape office effect dimension parameter positioning icon corresponding to the positioning result, wherein the office effect dimension parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results.
In an embodiment of the invention, the effect illustration result includes: one of a lead result, a medium level result, a lag result, and a lag level result.
In an embodiment of the present invention, the office effect parameter positioning icon and/or the office effect dimension parameter positioning icon corresponds to the icon color parameter and/or the icon filling area of the positioning result: the icon color parameters include: one of red, gray, green, and other colors; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern.
In an embodiment of the invention, the first data is associated with the value of each of the performance parameters and the highest value of each of the performance parameters.
In an embodiment of the invention, the second data is related to the respective effect dimension parameters and the dimension weights.
In an embodiment of the present invention, the same group of institutions includes: one or more of the same type of institution, the same level institution and the same region institution
To achieve the above and other related objects, the present invention provides a graphical system for quickly performing detection and location learning effects, comprising: the system comprises a transaction effect parameter module, a transaction effect parameter module and a data processing module, wherein the transaction effect parameter module is used for acquiring each transaction effect parameter of a transaction unit and acquiring first data corresponding to each transaction effect parameter; the dimension parameter module is connected with the transaction effect parameter module and used for summarizing the transaction effect dimension parameters according to the first data and acquiring second data corresponding to the transaction effect dimension parameters; the system comprises a transaction effect parameter positioning module, a transaction effect parameter positioning module and a transaction effect parameter processing module, wherein the transaction effect parameter positioning module is connected with the transaction effect parameter module and used for obtaining positioning results of the transaction effect parameters in the same group of transaction units according to the first data and carrying out graphic display to obtain a transaction effect parameter positioning icon; the dimension parameter positioning module is connected with the dimension parameter module and used for obtaining positioning results of the transaction effect dimension parameters in the same group of transaction units according to the second data and carrying out graphical representation to obtain transaction effect dimension parameter positioning icons; and the classification screening module is connected with the transacting effect parameter positioning module and the dimension parameter positioning module and is used for classifying and screening the transacting effect parameter positioning icons and the transacting effect dimension parameter positioning icons so as to obtain a plurality of groups of different transacting effect graphical results.
To achieve the above and other related objects, the present invention provides a graphic terminal for fast detecting and positioning the effect of learning, comprising: a memory for storing a computer program; a processor for running the computer program to perform the graphical method for quickly performing detection and localization of an effect.
As described above, a method for detecting and locating an office effect according to the present invention has the following advantages: the invention utilizes the illustrated various transaction indexes to reflect the performance of the various transaction indexes in various groups of transaction units, thereby not only ensuring that a large amount of quality information covered in the transaction indexes is not lost, but also helping the transaction units to quickly detect the performance of schools on the various transaction indexes, and quickly positioning the advantages and short boards of the transaction, and greatly improving the efficiency of performance evaluation and management work of the various transaction units.
Drawings
FIG. 1 is a flow chart illustrating a method for rapidly performing detection and localization effects according to an embodiment of the present invention.
Fig. 2 is a visual presentation diagram showing the positioning result of the transaction effect dimension parameter according to an embodiment of the present invention.
Fig. 3 is a sorting and screening chart showing the positioning result of the office effect parameter according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a graphical system for quickly performing detection and localization effects according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a graphical terminal for performing detection and positioning rapidly according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It is noted that in the following description, reference is made to the accompanying drawings which illustrate several embodiments of the present invention. It is to be understood that other embodiments may be utilized and that mechanical, structural, electrical, and operational changes may be made without departing from the spirit and scope of the present invention. The following detailed description is not to be taken in a limiting sense, and the scope of embodiments of the present invention is defined only by the claims of the issued patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Spatially relative terms, such as "upper," "lower," "left," "right," "lower," "below," "lower," "above," "upper," and the like, may be used herein to facilitate describing one element or feature's relationship to another element or feature as illustrated in the figures.
Throughout the specification, when a part is referred to as being "connected" to another part, this includes not only a case of being "directly connected" but also a case of being "indirectly connected" with another element interposed therebetween. In addition, when a certain part is referred to as "including" a certain component, unless otherwise stated, other components are not excluded, but it means that other components may be included.
The terms first, second, third, etc. are used herein to describe various elements, components, regions, layers and/or sections, but are not limited thereto. These terms are only used to distinguish one element, component, region, layer or section from another element, component, region, layer or section. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the scope of the present invention.
Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," and/or "comprising," when used in this specification, specify the presence of stated features, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, operations, elements, components, items, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions or operations are inherently mutually exclusive in some way.
The invention provides a graphical method for rapidly detecting and positioning the transaction effect, which is used for solving the problems that in the prior art, the total transaction condition is represented by numbers or symbols, a large amount of quality information covered in transaction indexes is lost, and the advantages and short boards of schools are difficult to be rapidly positioned and detected in the large amount of transaction indexes, so that the performance evaluation and management work efficiency of each transaction unit is greatly reduced. The invention utilizes the illustrated various transaction indexes to reflect the performance of the various transaction indexes in various groups of transaction units, thereby not only ensuring that a large amount of quality information covered in the transaction indexes is not lost, but also helping the transaction units to quickly detect the performance of schools on the various transaction indexes, and quickly positioning the advantages and short boards of the transaction, and greatly improving the efficiency of performance evaluation and management work of the various transaction units.
The following detailed description of the embodiments of the present invention will be made with reference to fig. 1 so that those skilled in the art to which the present invention pertains can easily carry out the embodiments. The present invention may be embodied in many different forms and is not limited to the embodiments described herein.
FIG. 1 is a flow chart of a graphical method for rapidly performing detection and localization effects in one embodiment, which comprises the following steps;
step S11: the method comprises the steps of collecting each effect parameter of a study unit, and obtaining first data corresponding to each effect parameter.
Optionally, each of the office effect parameters monitored by the office unit in daily life is collected, and first data corresponding to each of the office effect parameters is obtained.
Optionally, the first data is associated with the value of each of the several performance parameters and the highest value of each of the several performance parameters. Preferably, the highest numerical value is the highest numerical value corresponding to each of the office performance parameters in the national office unit.
Optionally, the first data obtaining manner includes: and obtaining first data corresponding to the effect parameters by calculating the ratio of the numerical value of the effect parameters to the highest numerical value.
Optionally, the study effectiveness parameter corresponds to a study condition index, for example, a study index covered in a basic statistics report of higher education institutions submitted to the education department every year by the colleges and universities.
The calculation method of the first data corresponding to the transaction condition index comprises the following steps:
wherein S is the first data under the transaction index, X is the expression value on the transaction index, and X ismaxIs the national highest value under the office index.
Step S12: and summarizing the first data to each transaction effect dimension parameter, and obtaining second data corresponding to each transaction effect dimension parameter.
Optionally, in the case of a large number of the transacting effect parameters, the transacting effect dimension parameters need to be quoted to reflect the overall performance of each transacting effect parameter in the same dimension. Specifically, each of the transaction effect dimension parameters is obtained by dividing the transaction effect parameters into dimensions, that is, the transaction parameters represent a cluster including a part of the transaction effect parameters.
And summarizing the first data reflecting the same connotation to each transaction effect dimension parameter, and calculating to obtain second data corresponding to each transaction effect dimension parameter.
Optionally, the second data is associated with the respective effect dimension parameters and the dimension weights.
Optionally, the obtaining manner of the second data includes: and obtaining the second data by summing the products of the first data under the parameter of the transaction dimension and the weight of the dimension.
Optionally, the second data is calculated as follows:
S＝∑Si×ρi； (2)
wherein S is the second data, SiFor the first data of each of the office effect parameters, piIs the dimension weight.
For example, the study effectiveness parameters of calibration A shown in Table 1 include: school total income, social donation income, country celebrity total, country teaching celebrity average, professor lecture rate, professor proportion of lectures, technology transfer income total amount, and technology transfer income average amount. The corresponding values and the first data are also recorded in table 1; as shown in table 2, the transactionality effect dimension parameter and the dimension weight of the transactionality effect parameter and the second data. Wherein, the parameters of the school total income, the social donation income and the like reflect the income condition of the school and are classified into the resources for study; indexes such as the total number of national teaching famous teachers, the average number of national teaching famous teachers, the teaching rate and the teaching proportion reflect the input degree of the school to talent cultivation, and can be classified into talent cultivation capacity; indexes such as the total amount of technical transfer income and the average amount of technical transfer incomes reflect the economic value of the practical conversion of the research results of schools, and can be classified into the service social ability.
TABLE 1 part of school A parameter table for effect of study
TABLE 2 part school Effect dimension parameter/weight of school Effect parameter and second data sheet
Note: since only a portion of the index for each index dimension is listed in the table, the weight and score for each index dimension is not equal to the sum of the indices in the table.
Step S13: and obtaining the positioning result of each effect parameter in the same group of institution according to the first data, and graphically displaying to obtain the effect parameter positioning icon.
Alternatively, the educational evaluation may be a relative evaluation in which the interiors of a group of subjects are compared with each other to determine the relative position, or an absolute evaluation in which each subject to be evaluated is compared with a standard according to a certain standard, according to the reference of the evaluation. As the level of the office is difficult to have a recognized standard, most offices compare the relative positions of schools in the same group of office while monitoring the performance of the school effect beat parameters in daily work.
Therefore, the positioning result of each transaction effect parameter in the same group of transaction units is obtained according to the first data, and the positioning result is graphically displayed to obtain the positioning icon of the transaction effect parameters. Wherein the positioning results correspond to the relative positions of the institutions in the same group.
Optionally, the same group of business units includes: one or more of the same type of institution, the same level institution and the same region institution.
Specifically, the same type of office unit refers to a unit similar to the evaluated office unit in terms of type, attribute or characteristic, such as a college of a manager class, a college of a general class, a college of a direct genus of an education department, a college of a provincial genus, a college with granted right of doctor's academic degree, and the like.
The term "same level office" means a unit equivalent or similar to the office level of the evaluation, and includes, for example, 985 colleges, 211 colleges, first-class university construction colleges, first-class subject construction colleges, colleges ranked 10 nationwide, colleges ranked 50 nationwide, and the like.
The college unit in the same region refers to a college or university in the same geographical area or in a geographical position close to the evaluated college or institution, such as Asia college or university, Chinese college or university, provincial college or university, city college or university, Shanghai college or university, etc.
It should be noted that, in practical practice, the comparison of the groups of the office units and the specific members can also be determined according to other standards, which are not limited in this application.
Optionally, a positioning result of each of the office effect parameters in the same group of office units is obtained according to the first data, where the positioning result includes: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result;
graphically representing the positioning result to obtain a fixed-shape office effect parameter positioning icon corresponding to the positioning result, wherein the office effect parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results. The color standard of the icon color parameter is one or more of any color, and the icon filling area is any filling area, which is not limited in the application.
Specifically, the positioning result is obtained by dividing the positioning result of a certain transaction effect parameter of a transaction unit into: the leading horizontal positioning result, the middle horizontal positioning result, and the lagging horizontal positioning result.
Wherein a ranking of a leading horizontal positioning result is higher than a middle horizontal positioning result, which is higher than the lagging horizontal positioning result.
Optionally, the positioning result is classified into the following three categories:
the leading horizontal positioning result is as follows: rank higher than 25% of the same group of institutions;
the intermediate level localization results: ranks 25% -75% in the same group of institutions (25% excluded);
the backward horizontal positioning result is as follows: ranked below 75% (75% excluded) of the same group of office units.
Optionally, the fixed shape is one or more of a rectangle, a diamond, a circle, etc. spliced together, but it is required to maintain that both the front and the back are represented by one shape, and the specific shape is not limited in this application.
Optionally, the office effect parameter positioning icon includes: icon color parameters and/or icon fill areas corresponding to the positioning results: the icon color parameters include: one of red, gray, and green; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern.
Preferably, the red color corresponds to the leading horizontal position result, the gray color corresponds to the middle horizontal position result and the green color corresponds to the lagging horizontal position result.
And/or the upper half area of the graph corresponds to the leading horizontal positioning result, the middle area of the graph corresponds to the middle horizontal positioning result, and the lower half area of the graph corresponds to the lagging horizontal positioning result.
In one embodiment, in the same group, the positioning result is graphically illustrated to obtain a rhombus-shaped effect parameter positioning icon corresponding to the positioning result, wherein the effect parameter positioning icon comprises: icon color parameters and icon fill areas corresponding to the positioning results. The icon color parameters include: one of red, gray, and green; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern. Wherein the red color corresponds to the leading horizontal position result, the gray color corresponds to the medium horizontal position result, and the green color corresponds to the lagging horizontal position result. The upper half area of the graph corresponds to the leading horizontal positioning result, the middle area of the graph corresponds to the middle horizontal positioning result, and the lower half area of the graph corresponds to the lagging horizontal positioning result. As shown in table 3.
TABLE 3 visual presentation list of positioning result of a certain effect parameter of an institution
In an embodiment, in a plurality of different groups, that is, in a plurality of visualization effect maps of the positioning results corresponding to the transaction effect parameters of the same group, as shown in table 4, the diamond represents the whole range of the positioning results, and the red, gray or green is filled in different areas of the diamond to distinguish the positioning of the positioning results in 3 groups of 10 colleges nationwide, S province colleges and universities nationwide for the transaction effect parameters.
TABLE 4 visual effect Table of the results of the location of the study effect parameters in school
Step S14: and obtaining the positioning result of the transaction effect dimension parameters in the same group of transaction units according to the second data, and performing graphical representation to obtain the transaction effect dimension parameter positioning icon.
Optionally, a positioning result of the transaction effect dimension parameters in the same group of transaction units is obtained according to the second data, where the positioning result includes: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result;
graphically representing the positioning result to obtain a fixed-shape office effect dimension parameter positioning icon corresponding to the positioning result, wherein the office effect dimension parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results.
Specifically, the positioning result is obtained by dividing a certain transaction effect dimension parameter of a transaction unit into: the leading horizontal positioning result, the medium horizontal positioning result, and the lagging horizontal positioning result.
Wherein a ranking of a leading horizontal positioning result is higher than a middle horizontal positioning result, which is higher than the lagging horizontal positioning result.
Optionally, the positioning result is classified into the following three categories:
the leading horizontal positioning result is as follows: rank higher than 25% of the same group of institutions;
the intermediate level localization results: ranks 25% -75% in the same group of institutions (25% excluded);
the backward horizontal positioning result is as follows: ranked below 75% (75% excluded) of the same group of office units.
Optionally, the fixed shape is one or more of a rectangle, a diamond, a circle, etc. spliced together, but it is required to maintain that both the front and the back are represented by one shape, and the specific shape is not limited in this application.
Optionally, the effect dimension parameter positioning icon includes: icon color parameters and/or icon fill areas corresponding to the positioning results: the icon color parameters include: one of red, gray, and green; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern.
Preferably, the red color corresponds to the leading horizontal position result, the gray color corresponds to the middle horizontal position result and the green color corresponds to the lagging horizontal position result.
And/or the upper half area of the graph corresponds to the leading horizontal positioning result, the middle area of the graph corresponds to the middle horizontal positioning result, and the lower half area of the graph corresponds to the lagging horizontal positioning result.
In one embodiment, in the same group, the positioning result is graphically illustrated to obtain a rhombus-shaped effect dimension parameter positioning icon corresponding to the positioning result, wherein the effect dimension parameter positioning icon comprises: icon color parameters and icon fill areas corresponding to the positioning results. The icon color parameters include: one of red, gray, and green; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern. Wherein the red color corresponds to the leading horizontal position result, the gray color corresponds to the medium horizontal position result, and the green color corresponds to the lagging horizontal position result. The upper half area of the graph corresponds to the leading horizontal positioning result, the middle area of the graph corresponds to the middle horizontal positioning result, and the lower half area of the graph corresponds to the lagging horizontal positioning result. As shown in fig. 2, the dimension parameters of resources, scientific research ability, major projects and results in school a are ranked higher than 25% of 3 groups, and are at the leading level; in the scale and structure dimension parameters of the teachers and materials, 2 ranks in 3 groups of school A are behind 75 percent and are in a relatively behind level; in other dimension parameters, 2 ranks in 3 groups of correction a were between 25% -75%, at a moderate level.
Step S15: and classifying and screening the office effect parameter positioning icons and the office effect dimension parameter positioning icons to obtain a plurality of groups of office effect graphical results.
Optionally, the effect pictorial result of doing business comprises: one of a lead result, a medium level result, a lag result, and a lag level result.
Optionally, as shown in fig. 3, the screened results of the chemical effect graph are divided into the following 5 cases:
the lead result is: ranking higher than 25% in all school groups;
the more advanced result: rank above 25% in more than half of school groups;
intermediate level results: ranks 25% -75% (without 25%) in more than half of school groups (including all school groups);
a relatively lagged result: ranking below 75% (without 75%) in more than half of school groups;
lagging horizontal results: ranking was below 75% (not 75%) in all school groups.
Through screening the positioning icons of the study effect parameters or the study effect dimension parameters, the rapid detection of a large number of study effect parameter expressions can be realized on a microscopic bottom index level, a mesoscopic index dimension level and even a macroscopic overall expression level, and the rapid positioning of school advantages and short boards is realized.
Similar to the principle of the above embodiments, the present invention provides a graphical system for quickly performing detection and localization effects.
Specific embodiments are provided below in conjunction with the attached figures:
fig. 4 is a schematic structural diagram of a graphical system for rapidly performing detection and location learning according to an embodiment of the present invention.
The system comprises:
the system comprises a transaction effect parameter module 41, a transaction effect parameter module and a data processing module, wherein the transaction effect parameter module is used for acquiring each transaction effect parameter of a transaction unit and acquiring first data corresponding to each transaction effect parameter;
the dimension parameter module 42 is connected with the transaction effect parameter module 41 and is used for summarizing the transaction effect dimension parameters according to the first data and obtaining second data corresponding to the transaction effect dimension parameters;
the transacting effect parameter positioning module 43 is connected with the transacting effect parameter module 42, and is used for obtaining the positioning result of each transacting effect parameter in the same group of transacting units according to the first data, and performing graphical representation to obtain a transacting effect parameter positioning icon;
the dimension parameter positioning module 44 is connected with the dimension parameter module 43 and is used for obtaining the positioning result of each transacting effect dimension parameter in the same group of transacting units according to the second data and carrying out graphical representation to obtain a transacting effect dimension parameter positioning icon;
and the classification screening module 45 is connected with the transacting effect parameter positioning module 43 and the dimension parameter positioning module 44 and is used for classifying and screening the transacting effect parameter positioning icons and the transacting effect dimension parameter positioning icons so as to obtain a plurality of groups of transacting effect graphic results.
Optionally, the study effect parameter module 41 collects each study effect parameter monitored daily by a study unit, and obtains first data corresponding to each study effect parameter.
Optionally, the first data is associated with the value of each of the several performance parameters and the highest value of each of the several performance parameters. Preferably, the highest numerical value is the highest numerical value corresponding to each of the office performance parameters in the national office unit.
Optionally, the first data obtaining manner includes: and obtaining first data corresponding to the effect parameters by calculating the ratio of the numerical value of the effect parameters to the highest numerical value.
Optionally, the study effectiveness parameter corresponds to a study condition index, for example, a study index covered in a basic statistics report of higher education institutions submitted to the education department every year by the colleges and universities.
The calculation method of the first data corresponding to the transaction condition index comprises the following steps:
wherein S is the first data under the transaction index, X is the expression value on the transaction index, and X ismaxIs the national highest value under the office index.
Optionally, in the case of a large number of the transacting effect parameters, the transacting effect dimension parameters need to be quoted to reflect the overall performance of each transacting effect parameter in the same dimension. Specifically, each of the transaction effect dimension parameters is obtained by dividing the transaction effect parameters into dimensions, that is, the transaction parameters represent a cluster including a part of the transaction effect parameters.
The first data reflecting the same connotation is collected to each transacting effect dimension parameter by the transacting effect parameter module 42 for calculation to obtain second data corresponding to each transacting effect dimension parameter.
Optionally, the second data is associated with the respective effect dimension parameters and the dimension weights.
Optionally, the obtaining manner of the second data includes: and obtaining the second data by summing the products of the first data under the parameter of the transaction dimension and the weight of the dimension.
Optionally, the second data is calculated as follows:
S＝∑Si×ρi； (2)
wherein S is the second data, SiFor the first data of each of the office effect parameters, piIs the dimension weight.
Alternatively, the educational evaluation may be a relative evaluation in which the interiors of a group of subjects are compared with each other to determine the relative position, or an absolute evaluation in which each subject to be evaluated is compared with a standard according to a certain standard, according to the reference of the evaluation. As the level of the office is difficult to have a recognized standard, most offices compare the relative positions of schools in the same group of office while monitoring the performance of the office effect parameters of the schools in daily work.
Therefore, the positioning result of each transaction effect parameter in the same group of transaction units is obtained according to the first data, and the positioning result is graphically displayed to obtain the positioning icon of the transaction effect parameters. Wherein the positioning results correspond to the relative positions of the institutions in the same group.
Optionally, the same group of business units includes: one or more of the same type of institution, the same level institution and the same region institution.
Specifically, the same type of office unit refers to a unit similar to the evaluated office unit in terms of type, attribute or characteristic, such as a college of a manager class, a college of a general class, a college of a direct genus of an education department, a college of a provincial genus, a college with granted right of doctor's academic degree, and the like.
The term "same level office" means a unit equivalent or similar to the office level of the evaluation, and includes, for example, 985 colleges, 211 colleges, first-class university construction colleges, first-class subject construction colleges, colleges ranked 10 nationwide, colleges ranked 50 nationwide, and the like.
The college unit in the same region refers to a college or university in the same geographical area or in a geographical position close to the evaluated college or institution, such as Asia college or university, Chinese college or university, provincial college or university, city college or university, Shanghai college or university, etc.
It should be noted that, in practical practice, the comparison groups of the offices and the specific members may be determined according to other criteria, which are not limited in itself.
Optionally, the dimension parameter module 43 obtains a positioning result of each of the office effect parameters in the same group of office units according to the first data, where the positioning result includes: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result;
the dimension parameter module 43 graphically illustrates the positioning result to obtain a fixed-shape transacting effect parameter positioning icon corresponding to the positioning result, wherein the transacting effect parameter positioning icon includes: icon color parameters and/or icon fill areas corresponding to the positioning results. The color standard of the icon color parameter is one or more of any color, and the icon filling area is any filling area, which is not limited in the application.
Specifically, the positioning result is obtained by dividing the positioning result of a certain transaction effect parameter of a transaction unit into: the leading horizontal positioning result, the middle horizontal positioning result, and the lagging horizontal positioning result.
Wherein a ranking of a leading horizontal positioning result is higher than a middle horizontal positioning result, which is higher than the lagging horizontal positioning result.
Optionally, the positioning result is classified into the following three categories:
the leading horizontal positioning result is as follows: rank higher than 25% of the same group of institutions;
the intermediate level localization results: ranks 25% -75% in the same group of institutions (25% excluded);
the backward horizontal positioning result is as follows: ranked below 75% (75% excluded) of the same group of office units.
Optionally, the fixed shape is one or more of a rectangle, a diamond, a circle, etc. spliced together, but it is required to maintain that both the front and the back are represented by one shape, and the specific shape is not limited in this application.
Optionally, the office effect parameter positioning icon includes: icon color parameters and/or icon fill areas corresponding to the positioning results: the icon color parameters include: one of red, gray, and green; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern.
Preferably, the red color corresponds to the leading horizontal position result, the gray color corresponds to the middle horizontal position result and the green color corresponds to the lagging horizontal position result.
And/or the upper half area of the image corresponds to the leading horizontal positioning result, the middle area of the graph corresponds to the middle horizontal positioning result, and the lower half area of the graph corresponds to the lagging horizontal positioning result.
Optionally, the dimension parameter positioning module 44 obtains a positioning result of each of the transaction effect dimension parameters in the same group of transaction units according to the second data, where the positioning result includes: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result;
graphically representing the positioning result to obtain a fixed-shape office effect dimension parameter positioning icon corresponding to the positioning result, wherein the office effect dimension parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results.
Specifically, the positioning result is obtained by dividing a certain transaction effect dimension parameter of a transaction unit into: the leading horizontal positioning result, the middle horizontal positioning result, and the lagging horizontal positioning result.
Wherein a ranking of a leading horizontal positioning result is higher than a middle horizontal positioning result, which is higher than the lagging horizontal positioning result.
Optionally, the positioning result is classified into the following three categories:
the leading horizontal positioning result is as follows: rank higher than 25% of the same group of institutions;
the intermediate level localization results: ranks 25% -75% in the same group of institutions (25% excluded);
the backward horizontal positioning result is as follows: ranked below 75% (75% excluded) of the same group of office units.
Optionally, the fixed shape is one or more of a rectangle, a diamond, a circle, etc. spliced together, but it is required to maintain that both the front and the back are represented by one shape, and the specific shape is not limited in this application.
Optionally, the effect dimension parameter positioning icon includes: icon color parameters and/or icon fill areas corresponding to the positioning results: the icon color parameters include: one of red, gray, and green; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern.
Preferably, the red color corresponds to the leading horizontal position result, the gray color corresponds to the middle horizontal position result and the green color corresponds to the lagging horizontal position result.
And/or the upper half area of the image corresponds to the leading horizontal positioning result, the middle area of the graph corresponds to the middle horizontal positioning result, and the lower half area of the graph corresponds to the lagging horizontal positioning result.
Optionally, the effect pictorial result of doing business comprises: one of a lead result, a medium level result, a lag result, and a lag level result.
Optionally, the classification and screening module 45 classifies the screened results of the graphical representation of the study effect into the following 5 cases:
the lead result is: ranking higher than 25% in all school groups;
the more advanced result: rank above 25% in more than half of school groups;
intermediate level results: ranks 25% -75% (without 25%) in more than half of school groups (including all school groups);
a relatively lagged result: ranking below 75% (without 75%) in more than half of school groups;
lagging horizontal results: ranking was below 75% (not 75%) in all school groups.
The classification screening module 45 screens the positioning icons of the transaction effect parameters or the transaction effect dimension parameters, and can realize rapid detection of a large number of transaction effect parameter expressions on microscopic bottom index levels, mesoscopic index dimension levels and even macroscopic overall expression levels and rapidly position the advantages of schools and short boards.
Fig. 5 shows a schematic terminal 50 applied to the detection and location transaction effect for rapid detection and location in the embodiment of the present invention.
The graphical terminal 50 applied to the method for rapidly performing detection and positioning of the effect of learning comprises:
the memory 51 is used for storing computer programs; the processor 52 runs a computer program to implement the illustrated method for quickly performing detection and localization efforts as described in fig. 1.
Optionally, the number of the memory 51 may be one or more, and the number of the processor 52 may be one or more, and thus fig. 1 is taken as an example.
Optionally, the processor 52 of the graphical terminal 50 for rapidly performing detection and location of an effect loads one or more instructions corresponding to the processes of the application program into the memory 51 according to the steps described in fig. 1, and the processor 52 runs the application program stored in the memory 51, so as to implement various functions in the graphical method for rapidly performing detection and location of an effect described in fig. 1.
Optionally, the graphical terminal 51 for rapidly performing detection and positioning of the transaction effect further includes: a communication module connected to the memory 51 and connected to the processor 52 for communicating with an external device, which may be an external control platform or an external terminal, but is not limited in the present invention.
Optionally, the graphical terminal 51 for rapidly performing detection and positioning for study effect is a mobile terminal, which communicates through bluetooth, or may be connected to an external device through communication such as infrared or wireless ethernet, data line, etc.; or through an internet communication connection, preferably a wireless ethernet network, such as a WiFi network, a 2G/3G/4G mobile data network, etc.
Optionally, the memory 51 may include, but is not limited to, a high speed random access memory, a non-volatile memory. Such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices; the Processor 51 may include, but is not limited to, a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
Optionally, the Processor 52 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which computer program, when running, implements the diagrammatizing method for quickly performing detection and localization effects as shown in fig. 1. The computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disc-read only memories), magneto-optical disks, ROMs (read-only memories), RAMs (random access memories), EPROMs (erasable programmable read only memories), EEPROMs (electrically erasable programmable read only memories), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing machine-executable instructions. The computer readable storage medium may be a product that is not accessed by the computer device or may be a component that is used by an accessed computer device.
In summary, the graphical method, the graphical system and the graphical terminal for rapidly detecting and positioning the transaction effect of the invention solve the problems that in the prior art, the total transaction situation is represented by numbers or symbols, not only a large amount of quality information covered in the transaction indexes is lost, but also the advantages and short boards of schools are difficult to be rapidly positioned and detected in a large amount of transaction indexes, and the performance evaluation and management work efficiency of each transaction unit is greatly reduced. The invention utilizes the illustrated various transaction indexes to reflect the performance of the various transaction indexes in various groups of transaction units, thereby not only ensuring that a large amount of quality information covered in the transaction indexes is not lost, but also helping the transaction units to quickly detect the performance of schools on the various transaction indexes and quickly position the advantages and short boards for the transaction, and greatly improving the efficiency of performance evaluation and management work of the various transaction units. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A diagrammatizing method for rapidly performing detection and location of an office effect, the method comprising:
collecting numerical values of each learning effect parameter of a learning unit, and obtaining first data corresponding to each learning effect parameter;
summarizing the first data to each transaction effect dimension parameter, and obtaining second data corresponding to each transaction effect dimension parameter;
obtaining the positioning result of each office effect parameter in the same group of office units according to the first data, and graphically displaying to obtain an office effect parameter positioning icon;
obtaining the positioning result of the transaction effect dimension parameters in the same group of transaction units according to the second data, and performing graphical representation to obtain a transaction effect dimension parameter positioning icon;
and classifying and screening the office effect parameter positioning icons and the office effect dimension parameter positioning icons to obtain a plurality of groups of office effect graphical results.
2. The graphical method for rapidly detecting and positioning the office effect according to claim 1, wherein the positioning result of each office effect parameter in the same group of office units is obtained according to the first data, and graphical results are obtained to obtain the office effect parameter positioning icon:
obtaining a positioning result of each of the transaction effect parameters in the same group of transaction units according to the first data, wherein the positioning result comprises: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result;
graphically representing the positioning result to obtain a fixed-shape office effect parameter positioning icon corresponding to the positioning result, wherein the office effect parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results.
3. The graphical method for rapidly detecting and positioning office effects according to claim 1, wherein the positioning results of the office effect dimension parameters in the same group of office units are obtained according to the second data and graphical to obtain the office effect dimension parameter positioning icon:
obtaining the positioning result of the transaction effect dimension parameters in the same group of transaction units according to the second data, wherein the positioning result comprises: one or more of a leading horizontal positioning result, a medium horizontal positioning result, and a lagging horizontal positioning result;
graphically representing the positioning result to obtain a fixed-shape office effect dimension parameter positioning icon corresponding to the positioning result, wherein the office effect dimension parameter positioning icon comprises: icon color parameters and/or icon fill areas corresponding to the positioning results.
4. A diagrammatizing method for rapidly performing detection and location of an office effect according to claim 1, wherein the office effect diagrammatizing result includes: one of a lead result, a medium level result, a lag result, and a lag level result.
5. Graphical method for the rapid detection and localization of office effects according to claim 2 or 3, characterized in that the office effect parameter localization icon and/or the office effect dimension parameter localization icon correspond to the icon color parameters and/or icon fill area of the localization result: the icon color parameters include: one of red, gray, green, and other colors; the icon padding area includes: one of an upper region of the pattern, a middle region of the pattern, and a lower region of the pattern.
6. The graphical method for rapid performance of detection and localization of effects according to claim 1, wherein the first data is associated with the value of each of the effect parameters and the highest value of each of the effect parameters.
7. The diagrammatical method of rapidly performing detection and localization of office effects of claim 1, wherein said second data is associated with said individual office effect dimensional parameters and dimensional weights.
8. The diagrammatical method of rapidly performing inspection and localization of office effects of claim 2, wherein said same group of office units comprises: one or more of the same type of institution, the same level institution and the same region institution.
9. A diagrammatized system for rapidly performing detection and location of an effect, comprising:
the system comprises a transaction effect parameter module, a transaction effect parameter module and a data processing module, wherein the transaction effect parameter module is used for acquiring each transaction effect parameter of a transaction unit and acquiring first data corresponding to each transaction effect parameter;
the dimension parameter module is connected with the transaction effect parameter module and used for summarizing the transaction effect dimension parameters according to the first data and acquiring second data corresponding to the transaction effect dimension parameters;
the system comprises a transaction effect parameter positioning module, a transaction effect parameter positioning module and a transaction effect parameter processing module, wherein the transaction effect parameter positioning module is connected with the transaction effect parameter module and used for obtaining positioning results of the transaction effect parameters in the same group of transaction units according to the first data and carrying out graphic display to obtain a transaction effect parameter positioning icon;
the dimension parameter positioning module is connected with the dimension parameter module and used for obtaining positioning results of the transaction effect dimension parameters in the same group of transaction units according to the second data and carrying out graphical representation to obtain transaction effect dimension parameter positioning icons;
and the classification screening module is connected with the transacting effect parameter positioning module and the dimension parameter positioning module and is used for classifying and screening the transacting effect parameter positioning icons and the transacting effect dimension parameter positioning icons so as to obtain a plurality of groups of different transacting effect graphical results.
10. A graphical terminal for rapid detection and localization of learning effects, comprising:
a memory for storing a computer program;
a processor for running the computer program to perform the diagrammatizing method for quickly performing detection and location of an effect according to any one of claims 1 to 8.
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