CN111589091A - School sports test intelligent real-time monitoring management system based on big data - Google Patents
School sports test intelligent real-time monitoring management system based on big data Download PDFInfo
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Abstract
The invention discloses a school sports test intelligent real-time monitoring management system based on big data, which comprises a fingerprint acquisition module, a fingerprint preprocessing module, an identity identification matching module, a manual input module, a body parameter evaluation module, a qualified counting statistical module, a score statistical analysis module, an image review analysis module, a violation detection module, a storage database, an analysis server and a display terminal, wherein the school sports test intelligent real-time monitoring management system based on big data determines the identity information of students through a fingerprint identification technology, analyzes and evaluates the qualification of the sit-up of students through the body parameter evaluation module and the qualified counting statistical module, corrects the evaluation result by combining the image review analysis module, further counts the grades of the students, displays the grades, realizes the standardization of a test program and the data of the scores, the error probability of the results is reduced, and the workload of teachers is lightened.
Description
Technical Field
The invention relates to the technical field of physical education tests, in particular to a school physical education test intelligent real-time monitoring management system based on big data.
Background
In the current stage of student teaching, more and more parents and teachers pursue the comprehensive development of the moral intelligence of students, only one thing pursues subject scores, and good physical quality is the solid foundation of learning and living, so that in recent years, sports test item subjects are formally brought into regular unified examinations, scores are directly counted into total scores, and the students, the parents and the teachers pay more attention to ordinary sports education and teaching.
In order to understand the current physical condition of students and effectively check out what kind of teaching achievements are obtained in school sports, the school performs sports tests on the students every year, a 'sit-up' is one of main items of the sports tests, the students often have unqualified physical forms in the 'sit-up' test process, and most schools adopt a manual test management mode in the measurement process, so that the efficiency is relatively low, the workload is large, meanwhile, the number of artificial interference factors is large, and the phenomena of score misjudgment and cheating often occur; therefore, the mode of manual test management has many defects, and in order to avoid the phenomenon, the invention provides an intelligent real-time monitoring and management system for school physical tests based on big data.
Disclosure of Invention
The invention aims to provide a school physical testing intelligent real-time monitoring management system based on big data, which determines identity information of students through a fingerprint identification technology, analyzes and judges the qualification of sit-up of the students through a body parameter judging module and a qualification counting statistical module, corrects the judging result by combining an image review analysis module, further counts the grade of the students and displays the grade, thereby solving the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme:
an intelligent real-time monitoring management system for school physical testing based on big data comprises a fingerprint acquisition module, a fingerprint preprocessing module, an identity identification matching module, a manual input module, a body parameter evaluation module, a qualified counting statistical module, a score statistical analysis module, an image review analysis module, an violation detection module, a storage database, an analysis server and a display terminal;
the fingerprint preprocessing module is connected with the fingerprint acquisition module, the identity recognition matching module is connected with the fingerprint preprocessing module, the storage database is connected with the manual input module, the qualified counting statistical module is connected with the body parameter judging module and the storage database, the image review analysis module is connected with the body parameter judging module, the analysis server is connected with the qualified counting statistical module and the image review analysis module, the score statistical analysis module is connected with the analysis server and the storage database, the display terminal is connected with the identity recognition matching module and the score statistical analysis module, and the violation detection module is connected with the score statistical analysis module;
the fingerprint acquisition module comprises a fingerprint acquisition device and is used for acquiring fingerprints of students taking a sit-up test, storing acquired fingerprint images and sending the acquired fingerprint images to the fingerprint preprocessing module;
the fingerprint preprocessing module is used for receiving the fingerprint image sent by the fingerprint acquisition module, performing gray level transformation, segmentation, equalization, enhancement and refinement on the received fingerprint image to obtain a preprocessed fingerprint image, and sending the preprocessed fingerprint image to the identity recognition matching module;
the identity recognition matching module is used for receiving the preprocessed fingerprint image sent by the fingerprint preprocessing module, acquiring ridge line data of the fingerprint, extracting characteristic points required by fingerprint recognition from the ridge line data of the fingerprint, matching the characteristic points with all student fingerprints in a storage database one by one, judging whether the fingerprint images are identical fingerprints, determining student identity information numbers corresponding to the fingerprint images after fingerprint characteristic analysis and comparison, and sending the student identity information numbers to the display terminal;
the manual input module is used for manually inputting the qualified times of sit-ups completed by students corresponding to each grade level of the sit-up examination results within the specified test time and sending the qualified times to the storage database;
the storage database is used for storing all student fingerprints of a school and student identity information numbers corresponding to each fingerprint, storing the qualified times of sit-ups completed by students corresponding to all grades of student grades within a specified test time, and storing a preset standard threshold value of a sit-up angle and a standard threshold value of an angle of inclination of feet off the ground;
the body parameter evaluation module comprises a supination angle detection and evaluation unit and a bipedal liftoff inclination angle detection and evaluation unit and is used for evaluating the body parameter qualification of students during a sit-up test;
the supine angle detection and evaluation unit is used for detecting the supine angle between the back body and the horizontal plane when the abdominal muscles pull the body upwards when the student performs single sit-ups, and the supine angle is recorded as
Counting the sit-up times of the student within the specified test time by using a timer and a counter to form a sit-up angle time set
The supine angle value is expressed as j-th sit-up, n is expressed as the sit-up times of the student completed in the specified test time, the supine angle of each sit-up is compared with a preset sit-up angle standard threshold, if the supine angle is smaller than the preset sit-up angle standard threshold, the supine angle of the sit-up is judged to be unqualified, an image pickup device is used for collecting unqualified body images, the unqualified body images are sent to an image review analysis module, whether the supine angle of each sit-up in the sit-up angle time set is qualified or not is judged, and the judgment result forms a sit-up angle qualification judgment set
The qualification judgment of the supine angle expressed as j-th sit-up is carried out, w is equal to p1, p2, p1 represents qualified, p2 represents unqualified, and the supine angle detection and judgment unit sends the qualification judgment set of the supine angle to a qualification counting statistical module;
the timer module adopted in the supine angle detection judging unit further comprises a voice prompt module, and the voice prompt module is used for carrying out voice prompt playing on single sit-up in countdown within specified test time, so that the whole test system is more humanized.
A bipedal terrain inclination angle detection unit, which is used for detecting inclination angles between two feet and a horizontal ground surface when a student performs single sit-up, and is marked as omega, counting the sit-up times of the student completed within a specified test time by adopting a timer and a counter to form a bipedal terrain inclination angle number set omega (omega 1, omega 2,.,. omega j.,. omega n), wherein omega j represents the bipedal terrain inclination angle value of the jth sit-up, n represents the sit-up times of the student completed within the specified test time, comparing the bipedal terrain inclination angle of each sit-up with a preset bipedal terrain inclination angle standard threshold, if the bipedal terrain inclination angle value is larger than the preset bipedal terrain inclination angle standard threshold, judging that the bipedal terrain inclination angle of the sit-up is unqualified, collecting unqualified body images by utilizing a camera device, sending the images to an image review analysis module, and judging whether the bipedal terrain inclination angle of each sit-up in the bipedal terrain inclination angle number set is qualified or not, the judgment result forms a qualification judgment set omega of the liftoff inclination angle of the two feetw(ωw1,ωw2,...,ωwj,...ωwn)，ωwj represents the qualification judgment of the bipod terrain clearance angle of the j-th sit-up, w is equal to p1, p2, p1 represents qualified, p2 represents unqualified, and the bipod terrain clearance angle detection unit sends the qualification judgment set of the bipod terrain clearance angle to a qualification counting statistical module;
a qualification counting module for receiving and combining the qualification judgment set of the supine angle sent by the supine angle detection unit and the qualification judgment set of the liftoff inclination angle sent by the liftoff inclination angle detection unit to form a comprehensive qualification judgment set of the sit-up
Expressed as the comprehensive qualification judgment of j-th sit-ups of the student, when the supine angle and the off-ground inclination angle of each sit-ups are qualified at the same time, namely
Is composed of
When the student does not sit up in the whole sit-up period, and if the student does not sit up in the whole sit-up period, the student does not sit up in the whole sit-up period;
the image review and analysis module is used for receiving the unqualified body images sent by the supine angle detection unit and the bipedal ground inclination angle detection unit, analyzing the unqualified body images, comparing the unqualified body images with a preset standard threshold value of the supine angle and the standard threshold value of the bipedal ground inclination angle again, judging whether the supine angle and the bipedal ground inclination angle in the unqualified body images are unqualified, and sending the judgment result to an analysis server;
the analysis server is used for receiving the qualified times of sit-ups completed by the student within the specified test time and the judgment result of the unqualified body image sent by the image review analysis module, which are sent by the qualified counting statistic module, correcting the qualified times of sit-ups completed by the student within the specified test time according to the received qualified judgment result of the unqualified body image to obtain the corrected qualified times of sit-ups, and sending the corrected qualified times of sit-ups to the achievement statistical analysis module;
the score statistical analysis module is used for receiving the qualified times of sit-ups of the students corrected within the specified test time, which are sent by the analysis server, extracting the qualified times of sit-ups of the students completed within the specified test time, which correspond to the grades of the scores of all grades in the storage database, screening the grades corresponding to the qualified times of sit-ups of the students corrected, and sending the grades to the display terminal;
and the display terminal is used for receiving the student identity information numbers sent by the identity identification matching module and the sit-up achievement grades of the students sent by the achievement statistical analysis module, and displaying the identity information numbers of the students corresponding to the sit-up achievement grades at the same time.
Preferably, detection module violating the regulations includes camera equipment for the posture of placing to the hand of carrying out the sit up test in-process student is taken a picture, acquires hand posture image, and with the posture contrast that the sit up hand of standard was placed, if not conform to the sit up hand posture of standard, then judge this student and violate the regulations, the test is suspended, and the sit up qualified count who accomplishes before this student returns to zero, and this student tests again.
Further, the correction method is that when the supine angle and the bipedal terrain inclination angle in the unqualified physique image are judged to be qualified at the same time, the qualified times of the sit-ups completed by the student in the specified test time are increased by one, and on the contrary, the qualified times of the sit-ups completed by the student in the specified test time are maintained as the original qualified times.
Has the advantages that:
(1) the invention provides a big data-based intelligent real-time monitoring management system for school physical tests, which determines identity information of students through a fingerprint acquisition module, a fingerprint preprocessing module and an identity identification matching module, analyzes and judges the qualification of body parameters of the students in the process of sit-up through a body parameter judging module and a qualification counting statistical module, further judges the qualification of single sit-up, simultaneously counts the qualified times of sit-up completed by the students in a specified test time, corrects the qualified times of sit-up completed by the students in the specified test time by combining an image review module, performs grade screening on the qualified times of sit-up of the students after correction, realizes standardization and grade datamation of a test program, and can accurately detect whether the body of the examinees is qualified or not, the error probability of the results is reduced, and the workload of teachers is lightened.
(2) According to the school sports test intelligent real-time monitoring management system based on the big data, provided by the invention, the unqualified body image sent by the body evaluation parameter analysis module is deeply analyzed through the image review module, and the qualification of the unqualified body parameter is judged again, so that the phenomenon of first judgment error caused by other factors is avoided, the effect of double judgment is achieved, and the accuracy of qualification judgment is ensured.
(3) According to the school physical testing intelligent real-time monitoring management system based on big data, whether illegal actions exist in the sit-up process of students is collected and judged through the illegal detection module, and the illegal students are retested, so that the intelligence of the system is embodied, and the normative fairness in the testing process is ensured.
(4) According to the school physical testing intelligent real-time monitoring and management system based on the big data, the timer used by the body parameter evaluation module intelligently reminds students of the rest testing time in a voice prompt mode within the countdown within the specified testing time, so that the students can conveniently master the self examination progress.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the intelligent real-time monitoring and management system for school physical testing based on big data comprises a fingerprint acquisition module, a fingerprint preprocessing module, an identity recognition and matching module, a manual input module, a body parameter evaluation module, a qualification counting and statistics module, a score statistics and analysis module, an image review and analysis module, a violation detection module, a storage database, an analysis server and a display terminal.
The fingerprint preprocessing module is connected with the fingerprint acquisition module, the identity recognition matching module is connected with the fingerprint preprocessing module, the storage database is connected with the manual input module, the qualified counting statistical module is connected with the body parameter judging module and the storage database, the image review analysis module is connected with the body parameter judging module, the analysis server is connected with the qualified counting statistical module and the image review analysis module, the score statistical analysis module is connected with the analysis server and the storage database, the display terminal is connected with the identity recognition matching module and the score statistical analysis module, and the violation detection module is connected with the score statistical analysis module.
The fingerprint acquisition module comprises a fingerprint acquisition device and is used for acquiring fingerprints of students taking a sit-up test, storing acquired fingerprint images and sending the acquired fingerprint images to the fingerprint preprocessing module;
the fingerprint preprocessing module is used for receiving the fingerprint image sent by the fingerprint acquisition module, carrying out gray level conversion and segmentation on the received fingerprint image information, and segmenting the fingerprint from the whole fingerprint image into a background image and a fingerprint distribution map; secondly, the fingerprint distribution map is equalized, and pixels distributed in different areas in the fingerprint distribution map are subjected to mean division to obtain the fingerprint distribution map with balanced brightness distribution; and finally, image enhancement is carried out, the fingerprint distribution map after equalization is intelligently enhanced, the lines and lines of the fingerprint distribution map are clearer, the edge distribution of the lines is smoother, the subsequent characteristic extraction is convenient, and the fingerprint preprocessing module sends the preprocessed fingerprint image to the identity recognition matching module.
An identity recognition matching module for receiving the preprocessed fingerprint image sent by the fingerprint preprocessing module, acquiring ridge line data of the fingerprint, extracting characteristic points required by fingerprint recognition from the ridge line data of the fingerprint, wherein the characteristic points comprise a piece shape, a fingerprint shape and detail characteristics, and are matched with the fingerprint of each student in a storage database one by one, firstly, roughly matching the extracted fingerprint piece shape with the fingerprint piece shape of each student in the storage database, further, accurately matching the extracted fingerprint shape and detail characteristics with the fingerprint of each student in the storage database, screening the fingerprint of the student with the highest similarity by counting the similarity degree of the extracted fingerprint shape and detail characteristics with the fingerprint of each student in the storage database, and outputting the identity information number of the student corresponding to the fingerprint with the highest similarity when the highest similarity is greater than a set similarity threshold, and the information is sent to the display terminal, so that the phenomenon of judgment error easily caused by manual checking of the identity information of the examinee is avoided.
And the manual input module is used for manually inputting the qualified times of the sit-ups completed by the students corresponding to each grade level of the sit-up examination results within the specified test time and sending the qualified times to the storage database.
And the storage database is used for storing all student fingerprints of the school and student identity information numbers corresponding to the fingerprints, storing the qualified times of sit-ups completed by students corresponding to all grades of student grades in a specified test time, and storing a preset standard threshold value of the sit-up angle and a preset standard threshold value of the ground clearance angle of feet.
The body parameter evaluation module comprises a supination angle detection and evaluation unit and a bipedal liftoff inclination angle detection and evaluation unit and is used for evaluating the body parameter qualification of students during a sit-up test;
the supine angle detection and evaluation unit is used for detecting the supine angle between the back body and the horizontal plane when the abdominal muscles pull the body upwards when the student performs single sit-ups, and the supine angle is recorded as
Counting the sit-up times of the student within the specified test time by using a timer and a counter to form a sit-up angle time set
The supine angle value is expressed as the j th sit-up, n is expressed as the student's completion within the specified test timeThe number of times of sit-ups is compared with a preset sit-up angle standard threshold value, if the number of times of sit-ups is smaller than the preset sit-up angle standard threshold value, the sit-up angle of the sit-ups is judged to be unqualified, otherwise, the sit-up angle of the sit-ups is qualified, an image pickup device is used for collecting unqualified body images and sending the unqualified body images to an image review analysis module, whether the sit-up angle of the sit-ups in the sit-up angle number set at each time is qualified is judged, and the judgment result forms a sit-up angle qualification judgment set
And the supine angle detection and evaluation unit sends the supine angle qualification judgment set to the qualification counting statistical module, wherein the qualification judgment is expressed as the supine angle of the j-th sit, w is equal to p1, p2, p1 shows qualified, p2 shows unqualified.
The timer module adopted in the supine angle detection judging unit further comprises a voice prompt module, and the voice prompt module is used for carrying out voice prompt playing on single sit-up in countdown within specified test time, so that the whole test system is more humanized.
A bipedal terrain inclination angle detection unit, which is used for detecting the inclination angle between the two feet and the horizontal ground when a student performs single sit-up, and is marked as omega, a timer and a counter are adopted to count the sit-up times completed by the student within a specified test time, so as to form a bipedal terrain inclination angle time set omega (omega 1, omega 2, eta, omega j, omega n), wherein omega j represents the bipedal terrain inclination angle value of the jth sit-up, n represents the sit-up times completed by the student within the specified test time, comparing the off-ground inclination angle of each sit-up with a preset off-ground inclination angle standard threshold value, if the off-ground inclination angle of each sit-up is larger than the preset off-ground inclination angle standard threshold value, and judging that the inclination angle of the feet off the ground of the sit-up is unqualified, otherwise, judging that the supine angle of the sit-up is qualified, and acquiring the unqualified body by utilizing the camera equipment.Sending the image to an image review and analysis module, and judging whether the bipedal terrain clearance angle of each sit-up in the bipedal terrain clearance angle frequency set is qualified or not, wherein the judgment result forms a bipedal terrain clearance angle qualification judgment set omegaw(ωw1,ωw2,...,ωwj,...ωwn)，ωwj represents the qualification judgment of the bipod terrain clearance angle of the j-th sit-up, w is equal to p1, p2, p1 represents qualified, p2 represents unqualified, and the bipod terrain clearance angle detection unit sends the qualification judgment set of the bipod terrain clearance angle to the qualification counting statistical module.
A qualification counting module for receiving and combining the qualification judgment set of the supine angle sent by the supine angle detection unit and the qualification judgment set of the liftoff inclination angle sent by the liftoff inclination angle detection unit to form a comprehensive qualification judgment set of the sit-up
Expressed as the comprehensive qualification judgment of j-th sit-ups of the student, when the supine angle and the off-ground inclination angle of each sit-ups are qualified at the same time, namely
Is composed of
When the student sit up times, this time sit up is qualified, otherwise, this time sit up is unqualified, and qualified count statistics module adds up and sends to analysis server the qualified number of times in the whole sit up number of times that this student accomplished in stipulated test time.
And the image review and analysis module is used for receiving the unqualified body images sent by the supine angle detection unit and the bipedal ground inclination angle detection unit, analyzing the unqualified body images, comparing the unqualified body images with a preset standard threshold of the supine angle and the standard threshold of the bipedal ground inclination angle again, judging whether the supine angle and the bipedal ground inclination angle in the unqualified body images are unqualified, and sending a judgment result to the analysis server, so that the phenomenon of judgment errors in the body parameter judgment module caused by other factors is avoided.
The analysis server is used for receiving the qualified times of sit-ups completed by the student within the specified test time and the judgment result of the unqualified body image sent by the image review analysis module, which are sent by the qualified counting statistics module, correcting the qualified times of sit-ups completed by the student within the specified test time according to the received qualified judgment result of the unqualified body image, and when the sit-up angle and the biped terrain inclination angle in the unqualified body image are judged to be qualified at the same time, the qualified times of sit-ups completed by the student within the specified test time are increased by one, otherwise, the qualified times of sit-ups completed by the student within the specified test time maintain the original qualified times, and the analysis server sends the qualified times of sit-ups corrected by the student to the score statistical analysis module.
And the score statistical analysis module is used for receiving the qualified times of sit-ups of the students corrected within the specified test time, which are sent by the analysis server, extracting the qualified times of sit-ups of the students completed within the specified test time, which correspond to the grades of the scores of all grades in the storage database, screening the grades corresponding to the qualified times of sit-ups of the students corrected, and sending the grades to the display terminal.
And the display terminal is used for receiving the student identity information numbers sent by the identity identification matching module and the sit-up score grades of the students sent by the score statistical analysis module, displaying the identity information numbers of the students corresponding to the sit-up score grades simultaneously, and facilitating the students to inquire the test scores of the students.
Violation detection module, including camera equipment, camera equipment adopts multi-angle high definition digtal camera for carry out image acquisition to the posture that the student's hand was placed in carrying out sit up test procedure, acquire hand posture image, with the posture contrast that the sit up hand of standard was placed, if be not conform to the sit up hand posture of standard, then judge this student and rule violation, the test pauses, the sit up qualified count of accomplishing before this student returns to zero, this student tests again.
The invention determines the identity information of students by a fingerprint identification technology, analyzes and judges the qualification of body parameters in the process of sit-up of the students by a body parameter judging module and a qualification counting statistical module, further judges the qualification of single sit-up, counts the qualified times of sit-up completed by the students in a specified test time, corrects the qualified times of sit-up completed by the students in the specified test time by combining an image review analysis module, and performs grade screening on the corrected qualified times of sit-up of the students, thereby realizing the standardization and grade datamation of a test program, accurately detecting whether the actions of the examinees are qualified, reducing the error probability of the grades and lightening the work burden of teachers.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (5)
1. The utility model provides a school's sports test intelligence real-time supervision management system based on big data which characterized in that: the system comprises a fingerprint acquisition module, a fingerprint preprocessing module, an identity identification matching module, a manual input module, a body parameter evaluation module, a qualified counting statistical module, a score statistical analysis module, an image review analysis module, an illegal detection module, a storage database, an analysis server and a display terminal;
the fingerprint preprocessing module is connected with the fingerprint acquisition module, the identity recognition matching module is connected with the fingerprint preprocessing module, the storage database is connected with the manual input module, the qualified counting statistical module is connected with the body parameter judging module and the storage database, the image review analysis module is connected with the body parameter judging module, the analysis server is connected with the qualified counting statistical module and the image review analysis module, the score statistical analysis module is connected with the analysis server and the storage database, the display terminal is connected with the identity recognition matching module and the score statistical analysis module, and the violation detection module is connected with the score statistical analysis module;
the fingerprint acquisition module comprises a fingerprint acquisition device and is used for acquiring fingerprints of students taking sit-up examinations, storing acquired fingerprint images and sending the acquired fingerprint images to the fingerprint preprocessing module;
the fingerprint preprocessing module is used for receiving the fingerprint image sent by the fingerprint acquisition module, performing gray level transformation, segmentation, equalization, enhancement and refinement on the received fingerprint image to obtain a preprocessed fingerprint image, and sending the preprocessed fingerprint image to the identity recognition matching module;
the identity recognition matching module is used for receiving the preprocessed fingerprint image sent by the fingerprint preprocessing module, acquiring ridge line data of the fingerprint, extracting characteristic points required by fingerprint recognition from the ridge line data of the fingerprint, matching the characteristic points with all student fingerprints in a storage database one by one, judging whether the fingerprint images are the same fingerprint, determining student identity information numbers corresponding to the fingerprint images after fingerprint characteristic analysis and comparison, and sending the student identity information numbers to the display terminal;
the manual input module is used for manually inputting the qualified times of sit-ups completed by students corresponding to each grade level of the sit-up examination results within the specified test time and sending the qualified times to the storage database;
the storage database is used for storing all student fingerprints of a school and student identity information numbers corresponding to each fingerprint, storing the qualified times of sit-ups completed by students corresponding to all grades of student grades within a specified test time, and storing a preset standard threshold value of a sit-up angle and a standard threshold value of a footfall angle;
the body parameter evaluation module comprises a supination angle detection evaluation unit and a bipedal terrain clearance angle detection evaluation unit and is used for evaluating the body parameter qualification of students during a sit-up test;
the supine angle detection and evaluation unit is usedWhen the student performs single sit-up, the supine angle between the back body and the horizontal plane when the body is pulled up by the abdominal muscle is recorded
The supine angle detection and evaluation unit adopts a timer module and a counter module to count the times of sit-ups completed by the student within the specified test time to form a supine angle time set
The supine angle value is expressed as j-th sit-up, n is expressed as the sit-up times of the student completed in the specified test time, the supine angle of each sit-up is compared with a preset sit-up angle standard threshold, if the supine angle is smaller than the preset sit-up angle standard threshold, the supine angle of the sit-up is judged to be unqualified, an image pickup device is used for collecting unqualified body images, the unqualified body images are sent to an image review analysis module, whether the supine angle of each sit-up in the sit-up angle time set is qualified or not is judged, and the judgment result forms a sit-up angle qualification judgment set
The qualification judgment of the supine angle expressed as j-th sit-up is carried out, w is equal to p1, p2, p1 represents qualified, p2 represents unqualified, and the supine angle detection and judgment unit sends the qualification judgment set of the supine angle to a qualification counting statistical module;
the biped liftoff inclination angle detection unit is used for detecting inclination angles of the biped and the horizontal ground when a student performs single sit-up, recording the inclination angles as omega, counting sit-up times of the student within specified test time by adopting a timer and a counter, and forming biped liftoff inclination angle detection unitThe method comprises the steps that a ground inclination angle frequency set omega (omega 1, omega 2, a.once, omega j, a.omega n) is formed, omega j represents a bipedal inclination angle value of a j-th sit-up, n represents the sit-up frequency of a student within a specified test time, the bipedal inclination angle of each sit-up is compared with a preset bipedal inclination angle standard threshold value, if the bipedal inclination angle value of each sit-up is larger than the preset bipedal inclination angle standard threshold value, the bipedal inclination angle of each sit-up is judged to be unqualified, an image pickup device is used for collecting unqualified body images, the unqualified body images are sent to an image review analysis module, whether the bipedal inclination angle of each sit-up in the bipedal inclination angle frequency set is qualified or not is judged, and the judgment result forms bipedal inclination angle qualification judgment omega set omega inclination angle qualificationw(ωw1,ωw2,...,ωwj,...ωwn)，ωwj represents the qualification judgment of the bipod terrain clearance angle of the j-th sit-up, w is equal to p1, p2, p1 represents qualified, p2 represents unqualified, and the bipod terrain clearance angle detection unit sends the qualification judgment set of the bipod terrain clearance angle to a qualification counting statistical module;
the qualification counting module is used for receiving the supine angle qualification judgment set sent by the supine angle detection unit and the foot off-ground inclination angle qualification judgment set sent by the foot off-ground inclination angle detection unit, and combining the two to form a comprehensive sit-up qualification judgment set
Expressed as the comprehensive qualification judgment of j-th sit-ups of the student, when the supine angle and the off-ground inclination angle of each sit-ups are qualified at the same time, namely
Is composed of
When the sit-ups is qualified, otherwise, the sit-ups is not qualifiedIf the student is qualified, the qualified counting module accumulates qualified times in the total sit-up times completed by the student within the specified test time and sends the accumulated times to the analysis server;
the image review and analysis module is used for receiving the unqualified body images sent by the supine angle detection unit and the bipedal ground inclination angle detection unit, analyzing the unqualified body images, comparing the unqualified body images with a preset standard threshold value of supine angle and the standard threshold value of bipedal ground inclination angle again, judging whether the supine angle and the bipedal ground inclination angle in the unqualified body images are unqualified, and sending the judgment result to an analysis server;
the analysis server is used for receiving the qualified times of sit-ups completed by the student within the specified test time and the judgment result of the unqualified body image sent by the image review analysis module, which are sent by the qualified counting statistic module, correcting the qualified times of sit-ups completed by the student within the specified test time according to the received qualified judgment result of the unqualified body image to obtain the corrected qualified times of sit-ups, and sending the corrected qualified times of sit-ups to the score statistical analysis module;
the score statistical analysis module is used for receiving the qualified times of sit-ups of the students corrected within the specified test time, which are sent by the analysis server, extracting the qualified times of sit-ups of the students completed within the specified test time, which correspond to the grades of the scores of all grades in the storage database, screening the grades corresponding to the qualified times of sit-ups of the students corrected, and sending the grades to the display terminal;
and the display terminal is used for receiving the student identity information numbers sent by the identity identification matching module and the sit-up performance grades of the students sent by the performance statistical analysis module, and displaying the identity information numbers of the students corresponding to the sit-up performance grades of the students at the same time.
2. The intelligent real-time monitoring and management system for school sports testing based on big data as claimed in claim 1, wherein: violation detection module is used for carrying out the sit up test in-process student's both hands and places the posture in the back of the head and carry out image acquisition, acquires hand posture image, and the posture contrast of placing with the sit up hand of standard if not conform to the sit up hand posture of standard, then judge this student and rule by violation of the rules and regulations, the test is suspended, and the sit up of accomplishing before this student counts the return to zero, and this student tests again.
3. The intelligent real-time monitoring and management system for school sports testing based on big data as claimed in claim 1, wherein: the correction method is that when the supination angle and the biped off-ground inclination angle in the unqualified physique image are judged to be qualified at the same time, the qualified times of the sit-ups completed by the student in the specified test time are increased by one, otherwise, the qualified times of the sit-ups completed by the student in the specified test time are maintained as the original qualified times.
4. The intelligent real-time monitoring and management system for school sports testing based on big data as claimed in claim 1, wherein: the camera equipment adopts a multi-angle high-definition camera.
5. The intelligent real-time monitoring and management system for school sports testing based on big data as claimed in claim 1, wherein: the timer module adopted in the supine angle detection and evaluation unit further comprises a voice prompt module, and the voice prompt module is used for carrying out voice prompt playing on the single sit-up within the countdown within the specified test time.
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Application publication date: 20200828 |