CN111612659B - Automatic scoring system and scoring method for online financial examination - Google Patents
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Abstract
The invention relates to the field of computer aided education and discloses an automatic scoring system for online financial examination, which comprises a user system consisting of a plurality of clients, wherein a man-machine interaction module, a question bank system, a examination point system, a scoring system, a physical server and a network server are arranged in the clients. Meanwhile, the automatic scoring method for the online financial examination realizes automatic scoring of the test paper of the online financial examination, does not need manual intervention, is quicker and more accurate than manual scoring, and further ensures the fairness of evaluation. According to the automatic scoring method for the online financial examination, the actual operation question simulation exercise and the automatic scoring of the examination are simulated by aiming at the accounting training system, and finally, the automatic scoring method for the online financial examination is realized by the examination automation of the accounting industry of the training system, so that the scoring of the examination paper can be automatically controlled by a computer.
Description
Technical Field
The invention belongs to the field of computer aided education, and particularly relates to an automatic scoring system and a scoring method for online financial accounting exams.
Background
At present, the actual operation part of the education and training examination for students is few, the existing system simply realizes the display of examination contents, the answering situation of the students also needs to be scored manually by teachers, and the complete internet technology does not bring convenience to us.
In the existing system, only a part of automatic scoring function of the system is realized, namely, only commonly used simple question scoring (such as option questions, judgment questions and the like) is realized. Lack of an automated scoring system for simulating actual operations for the accounting industry, students practice exam making accounts.
Disclosure of Invention
The invention aims at simulating actual operation questions for practice and automatic calculation of examination for an accounting training system, and realizes examination automation of the accounting industry of the training system. In order to achieve the above object, the present invention provides an automatic scoring system for online financial examination, comprising:
user system: the system is used for users to participate in examination, inputting personal information of the users and answer, and consists of a plurality of clients, wherein a man-machine interaction module is arranged in each client;
question bank system: the method is mainly used for storing, adding, deleting, modifying and inquiring test questions, and calculating and recording the error rate of each question and related examination points according to the exercise condition of a user;
the examination point system comprises: the comprehensive capacity assessment system is used for assessing specific examination points or comprehensive capacity assessment of examinees, and comprises a specific examination point assessment system and a comprehensive capacity assessment system;
the specific examination point checking system is used for reading the error rate of the examination questions in the question bank module and related examination points, and carrying out error-prone examination question pushing and error-prone point reinforcement checking exercise on a specific examination point;
the comprehensive capability assessment system is used for comprehensively assessing financial accounting professional students, and comprises conventional assessment and real operation assessment, wherein the conventional assessment comprises, but is not limited to, assessing financial accounting professional knowledge points in the forms of selection questions, blank filling questions, judgment questions and simple answer questions, and the real operation assessment comprises, but is not limited to, carrying out financial accounting practical assessment on users by using real financial data or simulated financial data;
scoring system: the system is mainly responsible for autonomous scoring of the machine and comprises a query module, a classification module, a comparison module and an accounting module;
the inquiry module is used for acquiring the examination ID of the examination paper submitted by the examinee from the client, and inquiring the question information, the question type information and the correct answer information of the submitted examination paper according to the examination ID;
the classification module is used for identifying the question information and the question type information of the submitted test paper, and then respectively placing answers of the question types into data sets corresponding to the question types, wherein the question types comprise common question types and real operation question types;
the comparison module performs double-cycle matching on the correct answer data set and the answer data set of each question type by using a pattern method, returns true modification stored scores to the scoring module if the answer is correct, returns false corresponding scores to 0 score to the scoring module if the answer is wrong, and finally obtains score sets of each question type;
the accounting module is used for accounting the scoring condition of the test paper submitted by the test taker according to the answer comparison condition, wherein the scoring condition comprises the scoring condition of each question type and the total scoring condition;
the system comprises a physical server and a network server, wherein the physical server is used for storing user privacy data, the network server is used for storing system codes and user non-privacy data, a question bank system and a test point system are connected with the network server through the physical server, the network server receives all user exercise condition data uploaded by the question bank system and performs anonymous processing, the total error rate of questions is calculated through big data analysis, the ranking and learning conditions of the users are evaluated through the total error rate and the user exercise condition, the physical server feeds back data to the test point system, and a man-machine interaction module receives the feedback data and regularly and quantitatively pushes the questions with higher error rate to the users.
Preferably, the man-machine interaction module comprises an identity recognition unit for verifying the identity of an examinee, and comprises a certificate scanner and a biological recognition system, wherein the certificate scanner is used for carrying out recognition scanning on an identity card, a student card or other certificates, and the biological recognition system is used for recognizing an examination user.
Preferably, the monitoring system further comprises a monitoring system, the monitoring system comprises a global monitoring system and a client monitoring system, the global monitoring system is installed in an examination place and used for monitoring the overall situation of the examination place in real time, the client monitoring system comprises a recording unit, a photographing unit, a video unit and a software monitoring unit, the recording unit is used for recording the whole course of examination of an examinee, the video unit is used for carrying out the whole Cheng Luxiang on the examination of the examinee, the photographing unit is used for randomly photographing the examination in-process, the software monitoring unit is used for monitoring the internet surfing situation of the client, and abnormal networking and cheating software use during the examination are prevented.
The automatic scoring method for the online financial examination is characterized by comprising the following steps:
s1: the scoring system calls a query module to acquire examination ID of the examination paper submitted by the examinee, question information of the examination paper, question information and correct answer information from the client;
s2, the scoring system calls a classification module to classify the acquired test paper questions according to the common question types and the actual operation question types, so that correct answers of the question types are obtained, and data packaging is carried out to obtain a correct answer data set of the question types;
s3: data packaging is carried out on answers of the examinees according to different question types, and answer data sets of the questions are obtained;
s4: invoking a pattern matching method in the comparison module to perform double-cycle matching on the correct answer data set and the answer data set of each question type, returning true modification deposit scores to the scoring module if the answer is correct, and returning false corresponding scores to be 0 score to the scoring module if the answer is wrong, so as to finally obtain score sets of each question type;
s5: and (3) counting to obtain the total score of the test paper according to the score set of each question type obtained in the step (S4).
Preferably, the common topics include:
single choice questions, multiple choice questions, blank filling questions and judgment questions.
Preferably, when the question type belongs to the common question type, the step S4 further includes the following steps:
s4.1.1: matching the answer data set of each common question type obtained in the step S2 with the correct answer data set of each corresponding common question type obtained in the step S3;
s4.1.2: the matched answer data of a certain common question type and the matched correct answer data of the common question type are respectively taken out from a answer data set of the common question type and a correct answer data set of the common question type;
s4.1.3: according to the question sequence, comparing the answer data of a certain common question type extracted in the step S3.1.2 with the correct answer data of the common question type one to one;
s4.1.4: if the answer data of a certain question is the same as the correct answer data of the question, the comparison is successful,
if the answer data of a certain question is different from the correct answer data of the question, the comparison is unsuccessful;
s4.1.5: obtaining the number of times of successful comparison according to the comparison condition in the step S3.1.4;
s4.1.6: and according to the times of comparing success in the step S3.1.5, counting the scoring condition of each common topic and storing the scoring condition in a scoring set named each common topic.
Preferably, when the question type belongs to the actual question type, the step S4 includes the following steps:
s4.2.1: decompressing the correct answer data set of the actual operation question type obtained in the step S2 to obtain correct worksheet character string data of each billing step of the actual operation question type;
s4.2.2: putting the correct worksheet character string data obtained in the step S4.2.1 into a set to be compared;
s4.2.3: decompressing the answer data set of the actual operation question type acquired in the step S3 to obtain answer worksheet string data of each billing step of the actual operation question type;
s4.2.4: if the answer sheet character string data is inconsistent with the correct sheet character string data, converting into the data type identical with the correct sheet character string data, then placing the data type into a set to be compared,
if the answer worksheet character string data is consistent with the correct worksheet character string data in type, directly placing the answer worksheet character string data into a set to be compared;
s4.2.5: according to the order of the questions, the correct worksheet character string data in the to-be-compared set is compared with the answer worksheet character string data,
the compared information comprises style information, row and column information and filling content information of the cells of the worksheet;
s4.2.6: if the answer sheet data of a certain topic and the correct sheet data comparison information of the topic are all matched, the comparison is successful,
if the comparison information of the answer worksheet data of a certain topic and the correct worksheet data of the topic cannot be completely matched, the comparison is unsuccessful;
s4.2.7: obtaining the number of times of successful comparison according to the comparison condition in the step S4.2.6;
s4.2.8: and counting the scoring condition of the actual operation question type according to the times of the comparison success condition in the step S4.2.7, and storing the scoring condition of the actual operation question type in a scoring set named by the actual operation question type.
Preferably, the method of data conversion described in step S4.2.1 includes, but is not limited to, java's operation of the io byte stream.
Preferably, step S5 includes the following steps:
s5.1: acquiring information of each topic score set;
s5.2: judging whether each topic score set has a data record or not;
s5.3: extracting the scoring condition of the topic recorded in the topic score set with the data record according to the judging condition of the step S4.2;
s5.4: and (3) counting the total score according to the score conditions extracted in the step S4.3, and storing the total score into a total score set.
Advantageous effects
The implementation of the invention has the following beneficial effects:
according to the invention, the training system is used for simulating actual operation questions and automatically counting the examination, and finally the examination automation of the training system accounting industry is realized.
Drawings
FIG. 1 is a schematic diagram of a data processing flow according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of the present invention;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to fall within the scope of the present invention.
Example 1
An automatic scoring system for an online financial examination, comprising:
user system: the system is used for users to participate in examination, inputting personal information of the users and answer, and consists of a plurality of clients pc, wherein a man-machine interaction module is arranged in each client;
question bank system: the method is mainly used for storing, adding, deleting, modifying and inquiring test questions, and calculating and recording the error rate of each question and related examination points according to the exercise condition of a user;
the examination point system comprises: the comprehensive capacity assessment system is used for assessing specific examination points or comprehensive capacity assessment of examinees, and comprises a specific examination point assessment system and a comprehensive capacity assessment system;
the specific examination point checking system is used for reading the error rate of the examination questions in the question bank module and related examination points, and carrying out error-prone examination question pushing and error-prone point reinforcement checking exercise on a specific examination point;
the comprehensive capability assessment system is used for comprehensively assessing financial accounting professional students, and comprises conventional assessment and real operation assessment, wherein the conventional assessment comprises, but is not limited to, assessing financial accounting professional knowledge points in the forms of selection questions, blank filling questions, judgment questions and simple answer questions, and the real operation assessment comprises, but is not limited to, carrying out financial accounting practical assessment on users by using real financial data or simulated financial data;
scoring system: the system is mainly responsible for autonomous scoring of the machine and comprises a query module, a classification module, a comparison module and an accounting module;
the inquiry module is used for acquiring the examination ID of the examination paper submitted by the examinee from the client, and inquiring the question information, the question type information and the correct answer information of the submitted examination paper according to the examination ID;
the classification module is used for identifying the question information and the question type information of the submitted test paper, and then respectively placing answers of the question types into data sets corresponding to the question types, wherein the question types comprise common question types and real operation question types;
the comparison module performs double-cycle matching on the correct answer data set and the answer data set of each question type by using a pattern method, returns true modification stored scores to the scoring module if the answer is correct, returns false corresponding scores to 0 score to the scoring module if the answer is wrong, and finally obtains score sets of each question type;
the accounting module is used for accounting the scoring condition of the test paper submitted by the test taker according to the answer comparison condition, wherein the scoring condition comprises the scoring condition of each question type and the total scoring condition;
the system comprises a physical server and a network server, wherein the physical server is used for storing user privacy data, the network server is used for storing system codes and user non-privacy data, a question bank system and a test point system are connected with the network server through the physical server, the network server receives all user exercise condition data uploaded by the question bank system and performs anonymous processing, the total error rate of questions is calculated through big data analysis, the ranking and learning conditions of the users are evaluated through the total error rate and the user exercise condition, the physical server is used for feeding back data to the test point system, and a man-machine interaction system receives the feedback data and feeds the questions with higher error rates to the users in a timing and quantitative mode.
The human-computer interaction module comprises an identity recognition unit for verifying the identity of an examinee, and comprises a certificate scanner and a biological recognition system, wherein the certificate scanner is used for carrying out recognition scanning on an identity card, a student card or other certificates, and the biological recognition system is used for carrying out recognition on an examination user.
The monitoring system comprises a global monitoring system and a client monitoring system, wherein the global monitoring system is installed in an examination place and used for monitoring the overall situation of the examination place in real time, the client monitoring system comprises a recording unit, a photographing unit, a video unit and a software monitoring unit, the recording unit is used for recording the whole course of examination of an examinee, the video unit is used for carrying out the whole Cheng Luxiang of the examination of the examinee, the photographing unit is used for randomly photographing the examination in-process, the software monitoring unit is used for monitoring the internet situation of the client and preventing abnormal networking and cheating software during the examination.
Example two
An automatic scoring method for online financial examination comprises the following steps:
1. and acquiring question information A and question information including a selection question, a blank filling question and correct answer information B of the test paper according to the examination ID20190001 of the test paper submitted by the examinee, and obtaining a correct answer data set C of the selection question and the blank filling question.
2. Respectively carrying out data encapsulation on answers of the examinee according to the difference of the selected questions and the blank filling questions to obtain a selected question answer data set D and a blank filling question answer data set E;
3. the answer data set of the selected questions and the answer data set of the gap filling questions are respectively compared with the answer data set to obtain score sets of the selected questions and the gap filling questions, wherein the correct answer data set C of the selected questions and the gap filling questions are respectively matched with the answer data set D of the selected questions and the answer data set E of the gap filling questions; the answer data of the selected questions and the gap filling questions which are matched are respectively taken out from the answer data sets of the selected questions and the gap filling questions and the answer data sets of the selected questions and the gap filling questions; according to the question sequence, the answer data of the selected questions and the blank filling questions are compared with the correct answer data one by one; if the answer data of the question N is the same as the correct answer data M of the question, the comparison is successful, and if the answer data of the question N is different from the correct answer data M of the question, the comparison is unsuccessful;
counting to obtain the situation that the comparison of the selection questions and the filling questions is successful, wherein the number of times is 10; and counting the scoring conditions of the selection questions and the gap filling questions according to the times 10 of the comparison success conditions, and storing the scoring conditions into a selection question score set and a gap filling question score set.
4. And (3) counting according to the score sets of the selection questions and the gap filling questions obtained in the step (3) to obtain the total score of the test paper: obtaining score set information of the selection questions and the gap filling questions; judging whether data records exist in the score sets of the selection questions and the gap filling questions; extracting the scoring condition of the topic recorded in the topic score set with the data record; and counting the extracted score conditions to obtain total score conditions and storing the total score conditions into a total score set.
Example III
1. And acquiring the question information of the test paper as A, the question type information as actual operation question type and the correct answer information as B according to the examination ID20190002 of the test paper submitted by the examinee, and obtaining a correct answer data set C of each question type.
2. Data packaging is carried out on answers of the examinees according to the actual operation question type, and an answer data set D of the actual operation question type is obtained;
3. comparing the correct answer data set of the actual operation question type with the answer data set to obtain a score set E of the actual operation question type: decompressing the correct answer data set C of the actual operation questions to obtain correct worksheet character string data of each billing step of the actual operation questions; putting the correct worksheet character string data into a set to be compared; decompressing the answer data set D of the actual operation questions to obtain answer worksheet string data of each billing step of the actual operation questions; converting the answer worksheet character string data into the data type identical to the correct worksheet character string data if the answer worksheet character string data is inconsistent with the correct worksheet character string data, converting an operation method of the io byte stream by using java, putting the converted data into a set to be compared, and directly putting the data into the set to be compared if the answer worksheet character string data is consistent with the correct worksheet character string data; according to the topic sequence, carrying out information comparison on correct worksheet character string data in the to-be-compared set and answer worksheet character string data, wherein compared information comprises style information, row and column information and filling content information of cells of the worksheet; if the answer sheet data N of the question and the correct sheet data M of the question are all matched, the comparison is successful, and if the answer sheet data N of the question and the correct sheet data M of the question are not all matched, the comparison is unsuccessful; obtaining the times of successful comparison according to the comparison conditions; and counting the scoring condition of the actual operation question type according to the times of the comparison success condition, and storing the scoring condition in a score set named the actual operation question type.
4. According to the score set E of the actual operation questions, the total score condition of the test paper is obtained through statistics: acquiring actual operation question type score set information; judging whether a data record exists in the actual operation question type score set; extracting the scoring condition of the actual operation questions recorded in the actual operation question score set with the data records according to the judging condition; and counting the total score condition according to the extracted score condition and storing the total score condition into a total score set.
The above embodiments are only for illustrating the present invention, not for limiting the present invention, and various changes and modifications may be made by one skilled in the relevant art without departing from the spirit and scope of the present invention, so that all equivalent technical solutions are also within the scope of the present invention, and the scope of the present invention is defined by the claims.
Claims (7)
1. An automatic scoring system for an online financial examination, comprising:
user system: the system is used for users to participate in examination, inputting personal information of the users and answer, and consists of a plurality of clients, wherein a man-machine interaction module is arranged in each client;
question bank system: the test question test method is used for storing, adding, deleting, modifying and inquiring test questions, and calculating and recording the error rate and related examination points of each question according to the exercise condition of a user;
the examination point system comprises: the comprehensive capacity assessment system is used for assessing specific examination points or comprehensive capacity assessment of examinees, and comprises a specific examination point assessment system and a comprehensive capacity assessment system;
the specific examination point checking system is used for reading the error rate of the examination questions in the question bank module and related examination points, and carrying out error-prone examination question pushing and error-prone point reinforcement checking exercise on a specific examination point;
the comprehensive capability assessment system is used for comprehensively assessing financial accounting professional students, and comprises conventional assessment and real operation assessment, wherein the conventional assessment comprises, but is not limited to, assessing financial accounting professional knowledge points in the forms of selection questions, blank filling questions, judgment questions and simple answer questions, and the real operation assessment comprises, but is not limited to, carrying out financial accounting practical assessment on users by using real financial data or simulated financial data;
scoring system: the system is responsible for autonomous scoring of the machine and comprises a query module, a classification module, a comparison module and a calculation module;
the inquiry module is used for acquiring the examination ID of the examination paper submitted by the examinee from the client, and inquiring the question information, the question type information and the correct answer information of the submitted examination paper according to the examination ID;
the classification module is used for identifying the question information and the question type information of the submitted test paper, and then respectively placing answers of the question types into data sets corresponding to the question types, wherein the question types comprise common question types and real operation question types;
the comparison module performs double-cycle matching on the correct answer data set and the answer data set of each question type by using a pattern method, returns true modification stored scores to the scoring module if the answer is correct, returns false corresponding scores to 0 score to the scoring module if the answer is wrong, and finally obtains score sets of each question type;
the accounting module is used for accounting the scoring condition of the test paper submitted by the test taker according to the answer comparison condition, wherein the scoring condition comprises the scoring condition of each question type and the total scoring condition;
the system comprises a physical server and a network server, wherein the physical server is used for storing user privacy data, the network server is used for storing system codes and user non-privacy data, a question bank system and a test point system are connected with the network server through the physical server, the network server receives all user exercise condition data uploaded by the question bank system and performs anonymous processing, the total error rate of questions is calculated through big data analysis, the ranking and learning conditions of the users are evaluated through the total error rate and the user exercise condition, the physical server feeds back data to the test point system, and a man-machine interaction module receives the feedback data and regularly and quantitatively pushes the questions with higher error rate to the users;
the human-computer interaction module comprises an identity recognition unit and a biological recognition system, wherein the identity recognition unit is used for verifying the identity of an examinee, the identity recognition unit comprises a certificate scanner and the biological recognition system, the certificate scanner is used for carrying out recognition scanning on an identity card, a student card or other certificates, and the biological recognition system is used for carrying out recognition on an examination user;
the monitoring system comprises a global monitoring system and a client monitoring system, wherein the global monitoring system is installed in an examination place and used for monitoring the overall situation of the examination place in real time, the client monitoring system comprises a recording unit, a photographing unit, a video unit and a software monitoring unit, the recording unit is used for recording the whole course of examination of an examinee, the video unit is used for carrying out the whole Cheng Luxiang of the examination of the examinee, the photographing unit is used for randomly photographing the examination in-process, the software monitoring unit is used for monitoring the internet situation of the client and preventing abnormal networking and cheating software during the examination.
2. An automatic scoring method for online financial exams, characterized in that the automatic scoring system for online financial exams according to claim 1 is used for scoring, comprising the following steps:
s1: the scoring system calls a query module to acquire examination ID of the examination paper submitted by the examinee, question information of the examination paper, question information and correct answer information from the client;
s2, the scoring system calls a classification module to classify the acquired test paper questions according to the common question types and the actual operation question types, so that correct answers of the question types are obtained, and data packaging is carried out to obtain a correct answer data set of the question types;
s3: data packaging is carried out on answers of the examinees according to different question types, and answer data sets of the questions are obtained;
s4: invoking a pattern matching method in the comparison module to perform double-cycle matching on the correct answer data set and the answer data set of each question type, returning true modification deposit scores to the scoring module if the answer is correct, and returning false corresponding scores to be 0 score to the scoring module if the answer is wrong, so as to finally obtain score sets of each question type;
s5: and (3) counting to obtain the total score of the test paper according to the score set of each question type obtained in the step (S4).
3. The automatic scoring method for online financial exams of claim 2, wherein the common questions comprises:
single choice questions, multiple choice questions, blank filling questions and judgment questions.
4. The automatic scoring method for online financial examination as recited in claim 2, wherein when the question type belongs to a common question type, the step S4 further comprises the steps of:
s4.1.1: matching the answer data set of each common question type obtained in the step S2 with the correct answer data set of each corresponding common question type obtained in the step S3;
s4.1.2: the matched answer data of a certain common question type and the matched correct answer data of the common question type are respectively taken out from a answer data set of the common question type and a correct answer data set of the common question type;
s4.1.3: according to the question sequence, comparing the answer data of a certain common question type extracted in the step S3.1.2 with the correct answer data of the common question type one to one;
s4.1.4: if the answer data of a certain question is the same as the correct answer data of the question, the comparison is successful,
if the answer data of a certain question is different from the correct answer data of the question, the comparison is unsuccessful;
s4.1.5: obtaining the number of times of successful comparison according to the comparison condition in the step S3.1.4;
s4.1.6: and according to the times of comparing success in the step S3.1.5, counting the scoring condition of each common topic and storing the scoring condition in a scoring set named each common topic.
5. The automatic scoring method for online financial examination as recited in claim 2, wherein when the question type belongs to the real operation question type, the step S4 comprises the steps of:
s4.2.1: decompressing the correct answer data set of the actual operation question type obtained in the step S2 to obtain correct worksheet character string data of each billing step of the actual operation question type;
s4.2.2: putting the correct worksheet character string data obtained in the step S4.2.1 into a set to be compared;
s4.2.3: decompressing the answer data set of the actual operation question type acquired in the step S3 to obtain answer worksheet string data of each billing step of the actual operation question type;
s4.2.4: if the answer sheet character string data is inconsistent with the correct sheet character string data, converting into the data type identical with the correct sheet character string data, then placing the data type into a set to be compared,
if the answer worksheet character string data is consistent with the correct worksheet character string data in type, directly placing the answer worksheet character string data into a set to be compared;
s4.2.5: according to the order of the questions, the correct worksheet character string data in the to-be-compared set is compared with the answer worksheet character string data,
the compared information comprises style information, row and column information and filling content information of the cells of the worksheet;
s4.2.6: if the answer sheet data of a certain topic and the correct sheet data comparison information of the topic are all matched, the comparison is successful,
if the comparison information of the answer worksheet data of a certain topic and the correct worksheet data of the topic cannot be completely matched, the comparison is unsuccessful;
s4.2.7: obtaining the number of times of successful comparison according to the comparison condition in the step S4.2.6;
s4.2.8: and counting the scoring condition of the actual operation question type according to the times of the comparison success condition in the step S4.2.7, and storing the scoring condition of the actual operation question type in a scoring set named by the actual operation question type.
6. An automatic scoring method for online financial exams as recited in claim 5, wherein said data transformation method of step S4.2.1 includes, but is not limited to, java's operation of the io byte stream.
7. An automatic scoring method for online financial exams as recited in claim 2, wherein step S5 comprises the steps of:
s5.1: acquiring information of each topic score set;
s5.2: judging whether each topic score set has a data record or not;
s5.3: extracting the scoring condition of the topic recorded in the topic score set with the data record according to the judging condition of the step S4.2;
s5.4: and (3) counting the total score according to the score conditions extracted in the step S4.3, and storing the total score into a total score set.
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