CN111209938A - Automatic progress monitoring method, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses an automatic progress monitoring method, which comprises the following steps: an acquisition step: acquiring interface screenshots of computer terminals of students; and (3) comparison: comparing the received interface screenshot with all the target pictures to obtain a comparison result; a progress determination step: and determining the current computer-on progress of the corresponding student according to the comparison result. The invention also provides an electronic device and a computer readable storage medium. The automatic progress monitoring method realizes that the system automatically and accurately shows the experiment progress of each student in real time by adopting an intelligent image identification processing mode, so that the on-computer experiment process of the students is more transparent, and the control of teachers on the teaching quality of the on-computer experiment is enhanced.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to an automatic progress monitoring method, electronic equipment and a storage medium.
Background
In the information era, the application of computers is popularized in various industries, the proportion of teaching activities of practical training of computer experiments in talent cultivation of schools at all levels is higher and higher, and the most common teaching scene of schools is that the computer room environment is used for completing teaching. This also brings a series of teaching management problems, the biggest one of which is: the teacher can not accurately and timely know which task link the student experiment is specifically performed in, the teacher has no way to perform necessary intervention, sometimes the experiment progress is hindered due to the problems of faults of the computer operating environment and the like, when the student finally performs the class, the hidden danger that the student can not complete the experiment teaching task according to the set class is very large, the expected teaching effect can not be well achieved, and finally, the student can only compel to perform carelessness and have no way to perform the class.
At present, the common method is that students are required to actively intercept interface pictures by using screen capturing tools at different nodes, or a teacher sets a time interval to initiate a small test at any place for confirmation, the modes are not accurate, and extra workload of the teacher and the students is increased, which is not an appearance that the informationized enabling teaching reform should have.
Therefore, designing a scheme capable of accurately showing the experimental progress of each student becomes a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the objectives of the present invention is to provide an automatic progress monitoring method, which can realize accurate monitoring of the computer-on progress of students.
The second objective of the present invention is to provide an electronic device, which can accurately monitor the computer-on progress of a student.
It is a further object of the present invention to provide a computer readable storage medium that enables accurate monitoring of a student's progress on a computer.
One of the purposes of the invention is realized by adopting the following technical scheme:
an automatic progress monitoring method comprises the following steps:
an acquisition step: acquiring interface screenshots sent by computer terminals of students;
and (3) comparison: comparing the received interface screenshot with all the target pictures to obtain a comparison result;
a progress determination step: and determining the current computer-on progress of the corresponding student according to the comparison result.
Further, the target graph is obtained by the following steps:
a receiving step: receiving a control instruction triggered in the on-machine real operation, and realizing a corresponding on-machine operation result according to the triggered control instruction;
screenshot step: and (4) image interception is carried out on each node in the actual operation process, and the image obtained by screenshot is used as a target image.
Further, in the screenshot step, the image capture of each node in the real operation process is performed to capture an image of each real operation result.
Further, a progress display step is included after the progress determination step: and displaying the current computer-on progress of the student at the teacher end.
Further, the interface screenshot is specifically performed every preset time, and the range of the interface screenshot is a complete computer display page.
Further, before the acquiring step, a preprocessing step is also included: processing the interface screenshot according to a uniform specification, and sharing the processed interface screenshot to a picture server;
before the acquiring step, the method further comprises the following detection steps: and when the preset time node is reached, executing interface screenshot operation at the student computer terminal or when screenshot triggering operation is received, executing the interface screenshot operation at the student computer terminal.
Further, the sharing to the picture server is realized by the following steps:
receiving the uploaded interface screenshot through a network server;
and copying the interface screenshot to a shared directory so that a plurality of picture servers can access the uploaded interface screenshot by mounting the picture servers through a network file system.
Further, the step of aligning comprises the substeps of:
comparing the corresponding picture with all the target pictures;
calculating similarity values and arranging the similarity values;
taking the highest similarity value as a comparison result;
after the alignment step, a deletion step is also included: and when all the alignments are finished, deleting the unmatched pictures in the picture server.
The second purpose of the invention is realized by adopting the following technical scheme:
an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing an automatic progress monitoring method according to any one of the objects of the invention when executing the computer program.
The third purpose of the invention is realized by adopting the following technical scheme:
a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out an automatic progress monitoring method according to any one of the objects of the invention.
Compared with the prior art, the invention has the beneficial effects that:
the automatic progress monitoring method realizes that the system automatically and accurately shows the experiment progress of each student in real time by adopting an intelligent image identification processing mode, so that the on-computer experiment process of the students is more transparent, and the control of teachers on the teaching quality of the on-computer experiment is enhanced.
Drawings
FIG. 1 is a flow chart of a method for automatically monitoring progress according to a first embodiment;
FIG. 2 is a schematic diagram of picture sharing according to the first embodiment;
FIG. 3 is a diagram of an automatic hash architecture of nginx in the first embodiment;
FIG. 4 is a screenshot of an interface operating at a teacher's computer according to the first embodiment;
FIG. 5 is a screenshot of an interface operating at a student computer according to the first embodiment;
fig. 6 is a specific architecture diagram of a picture server according to an embodiment.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Example one
As shown in fig. 1, the present embodiment provides an automatic progress monitoring method, which includes the following steps:
s0: when the preset time node is reached, executing interface screenshot operation at the student computer end or executing the interface screenshot operation at the student computer end when screenshot triggering operation is received; this step is mainly to set up different trigger operations, and besides the trigger screenshot based on time, the trigger operation based on event can also be set up. When the time is set, the interface screenshot can be set to be performed every 10 s.
S1: acquiring interface screenshots sent by computer terminals of students; the method mainly receives image information intercepted from a student computer terminal, and the image is the basis for subsequent comparison.
More preferably, the interface screenshot is performed every preset time, and the range of the interface screenshot is a complete computer display page. Because the computer operation is carried out in the school computer room and more computer operation is carried out on the virtual desktop, interference items are less when data comparison is carried out; that is, all interfaces have the same icon arrangement. As shown in fig. 5, the positions and patterns of the application icons on the computer desktop are the same, so the comparison can be performed by using the whole interface screenshot in the embodiment. Besides the mode of carrying out integral interface screenshot, data comparison can be carried out by searching a specific page frame; specifically, as shown in fig. 5, the data comparison is performed by directly capturing the partial image in the display frame in the center of the interface.
S2: comparing the received interface screenshot with all the target pictures to obtain a comparison result;
the target graph in this embodiment is obtained by the following steps: receiving a control instruction triggered in the on-machine real operation, and realizing a corresponding on-machine operation result according to the triggered control instruction;
and (4) image interception is carried out on each node in the actual operation process, and the image obtained by screenshot is used as a target image. As shown in fig. 4, it is an interface screenshot operated at the teacher's computer, that is, one of the target diagrams. During subsequent data comparison, the data comparison is mainly performed by comparing fig. 4 and 5 to determine the progress.
More preferably, the image interception of each node in the real operation process is performed on each real operation result. In the process of obtaining the target graph, the target graph is mainly obtained by a series of operations such as trial teaching, lesson preparation, target marking and the like performed by a teacher, the practical operation process is demonstrated by the teacher, the correct result of each stage is further stored, and then data comparison is performed.
S3: and determining the current computer-on progress of the corresponding student according to the comparison result. Namely, when the closest picture is obtained through comparison, the position of the picture is judged by positioning the node in the real operation process of the picture, and then the current computer-on progress of the corresponding student is determined.
The step S3 includes the following sub-steps:
comparing the corresponding picture with all the target pictures;
calculating similarity values and arranging the similarity values;
and outputting the comparison result with the highest similarity value, and determining the current progress of the image according to the operation process node to which the image belongs. Specifically, the pictures are compared at regular time, for example, once in 0.5 second, the picture similar to the screenshot of the teacher is found out, in principle, any 2 pictures have similarity, but the score value is high or low, in application, the selection can be carried out by combining the relevance score (the value range is 0-1, the closer to 1, the higher the similarity is), which is returned by the retrieval, and if the score is selected to be larger than 0.9, the two pictures are matched, and the comparison is finished.
S4: and displaying the current computer-on progress of the student at the teacher end. The computer-on progress of all students is displayed at the teacher end in real time, so that teachers can know the progress in real time. When facing some students with slower progress, the students can further guide the students to catch up with the progress of practice, so that teachers can conveniently master the computer-operating progress.
In this embodiment, more preferably, after the interface screenshot is executed, the interface screenshot needs to be processed according to a uniform specification, and the processed interface screenshot is shared to the picture server. The same specification processing is carried out on the interface screenshot, so that the corresponding comparison result can be obtained more conveniently and rapidly when the comparison is carried out at the later stage. When the interface is monitored, the pictures are usually processed according to a unified specification and stored in a picture server space temporarily processed in a class period, an uploading request is added into a RabbitMQ queue, and the pictures are asynchronously uploaded and stored according to each student sub-directory. This facilitates the progress display for a particular student.
Besides the functions, the scheme of the embodiment can also be used for selectively recording the screen to completely restore the process of the student real operation by combining the abnormal judgment of the progress, so that the content in the process of the student real operation is more conveniently monitored, and the effect of more accurately restoring the problem is achieved.
In this embodiment, the sharing to the picture server is implemented by the following steps:
receiving the uploaded interface screenshot through a network server;
and copying the interface screenshot to a shared directory so that a plurality of picture servers can access the uploaded interface screenshot by mounting the picture servers through a network file system. In the embodiment, the picture server is arranged to share the I/O load of the Web server, the picture service consuming resources is separated, the performance and the stability of the server are improved, the picture server can be specially optimized, a targeted cache scheme is arranged for the picture service, the bandwidth cost is reduced, and the access speed is improved; and the expandability of the website is improved, namely the picture handling capacity is improved by adding the picture server.
As shown in fig. 6, which is a specific architecture of the picture server, by using a plurality of Squid or Nginx servers, F5 or LVS load balancing (and also starting a cache function) is added at the front end, so as to increase the concurrency of access, and the servers can be deployed at any time according to the situation. Of course, there is a certain defect, that is, there may be the same picture on multiple squids, because the picture may be divided into squids 1 for the first time when being accessed, and squids 2 for the second time after F5 expires, or otherwise, and of course, the solution of the relatively concurrent problem is relatively solved, and this small amount of redundancy is completely within our allowable range. And finally, the CDN is made for the picture server, so that the picture access quality is improved.
Because the system is deployed based on the cloud, a virtual server needs to be independently established in a resource pool, a user picture framework is established, and the virtual server inherits the high availability characteristic of the virtual resource pool;
the independent domain name is adopted, the number of the concurrent connections of the browser under the same domain name is limited, generally between 2 and 6, so that if the independent domain name is configured for the picture server, the limitation of the number of the connections of the browser can be broken through when pictures are loaded in one page, theoretically, an independent domain name is added, and the number of the concurrent connections is doubled.
Because it is not desirable to synchronize all pictures at each picture server, the essence of NFS, which employs a distributed client/server file system, is the sharing of computers among users who can join a sharing computer and access files on the sharing computer as if they had access to a local hard disk.
As shown in fig. 2, the specific implementation is as follows: the web server mounts directories from a plurality of picture servers export through nfs (network file system), a user firstly uploads pictures to the web server, and then copies the uploaded pictures to the mount directory through a program, so that the picture servers can also access the pictures which are just uploaded (note that the pictures are only shared and not really copied to the picture servers). In this way, delay caused by synchronization is basically avoided, but the dependence on nfs is required, and the hanging-up of nfs can affect the web server.
The picture server in this embodiment has the characteristics that the access amount is large, the capacity is also large, and the problem of large access amount can be solved through simple load balancing, but the problem of capacity is not improved. So that disaster recovery problems may be caused.
Disaster recovery problem: data accessed in a certain time period of the system seriously exceeds the accommodation capacity of the minimum single machine in the cache cluster to cause disaster tolerance, a large number of single links can penetrate through the disaster tolerance, and the IO performance of a background is directly and greatly influenced. Although the problem of disaster tolerance can be solved by increasing the configuration of the cache capacity, the memory is always limited, the cost is high when an extra-large memory is added for each machine, in addition, a large disk cache is not suitable to be configured in the require, otherwise, the hash table in the require is large, and the performance is poor.
Therefore, in this embodiment, by using the hash architecture, the memory of the cache cluster can be fully utilized, and the disaster tolerance problem does not depend on the accommodation capacity of the smallest single machine in the cache cluster any more, but the sum of the accommodation capacities of all machines in the cache cluster.
As shown in fig. 3, it is an automatic hash architecture to build nginx; the cache is a new cache architecture, and the nginx is taken as the forefront and acts to a cache machine; a cache group is arranged behind the nginx, and the nginx divides the request into cache machines after passing through url hash; the framework is convenient for upgrading a pure squid cache, and nginx can be additionally arranged on a squid machine; the nginx has a caching function, so that links with large access quantity can be directly cached on the nginx, and the requirement of multiple agents is not needed. Such as favicon. ico and the logo of the web site.
The nginx automatic hash architecture has the following advantages: high performance; the use is convenient, and the association with the background is not large; the usability is high; the cache architecture is adopted, and the shunting is convenient; the partial links may be cached directly at the nginx proxy.
In this embodiment, the specific calling program example is as follows:
wherein, the return parameter is:
return example
In this embodiment, the process of implementing similar picture analysis by the core algorithm, that is, the mean value hash algorithm, is specifically as follows:
1. the method for converting the picture into the byte array specifically comprises the following steps:
2. zooming the image to a specified size is realized as follows:
3. calculating the similarity of the byte arrays, and concretely realizing the following steps:
in providing teacher's teaching system, through providing the teaching progress window, show each student and actually progress to which experimental step, every second is automatic to be refreshed, and then realizes the purpose of progress control. The accurate control of a teacher on the whole experiment process is enhanced, and classroom teaching is completed more efficiently; the accumulated experimental learning progress data can be analyzed, and the method is applied to more teaching quality improvement values, for example, analysis of a common link which consumes more time than expected is carried out, and the rationality of teaching task design is improved.
Example two
The second embodiment discloses an electronic device, which comprises a processor, a memory and a program, wherein the processor and the memory can adopt one or more, the program is stored in the memory and configured to be executed by the processor, and when the processor executes the program, the automatic progress monitoring method of the first embodiment is realized. The electronic device may be a series of electronic devices such as a mobile phone, a computer, a tablet computer, and the like.
EXAMPLE III
The third embodiment discloses a computer-readable storage medium, which is used for storing a program, and when the program is executed by a processor, the automatic progress monitoring method of the first embodiment is realized.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling an electronic device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the content-based update notification apparatus, the included units and modules are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. An automatic progress monitoring method is characterized by comprising the following steps:
an acquisition step: acquiring interface screenshots of computer terminals of students;
and (3) comparison: comparing the acquired interface screenshot with all the target pictures to obtain a comparison result;
a progress determination step: and determining the current computer-on progress of the corresponding student according to the comparison result.
2. The automatic progress monitoring method according to claim 1, wherein the target graph is obtained by the steps of:
a receiving step: receiving a control instruction triggered in the on-machine real operation, and realizing a corresponding on-machine operation result according to the triggered control instruction;
screenshot step: and (4) image interception is carried out on each node in the actual operation process, and the image obtained by screenshot is used as a target image.
3. The automatic progress monitoring method according to claim 2, wherein in the screenshot step, the image capture for each node in the real operation process is performed for each real operation result.
4. A method for automatically monitoring progress according to any one of claims 1 to 3, further comprising a progress display step after the progress determination step of: and displaying the current computer-on progress of the student at the teacher end.
5. The method for automatically monitoring progress as claimed in claim 1, wherein the interface screenshot is performed at a student computer end every preset time, and the range of the interface screenshot is a complete computer display page.
6. The automatic process monitoring method according to claim 5, further comprising, before the obtaining step, a preprocessing step of: processing the interface screenshot according to a uniform specification, and sharing the processed interface screenshot to a picture server;
before the acquiring step, the method further comprises the following detection steps: and when the preset time node is reached, executing interface screenshot operation at the student computer terminal or when screenshot triggering operation is received, executing the interface screenshot operation at the student computer terminal.
7. The method of claim 6, wherein the sharing to the picture server is achieved by:
receiving the uploaded interface screenshot through a network server;
and copying the interface screenshot to a shared directory so that a plurality of picture servers can access the uploaded interface screenshot by mounting the picture servers through a network file system.
8. The automatic progress monitoring method of claim 6, wherein the comparing step comprises the following substeps:
comparing the corresponding picture with all the target pictures;
calculating similarity values and arranging the similarity values;
taking the highest similarity value as a comparison result;
after the alignment step, a deletion step is also included: and when all the alignments are finished, deleting the unmatched pictures in the picture server.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements an automatic progress monitoring method according to any one of claims 1 to 8 when executing the computer program.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements an automatic progress monitoring method as claimed in any one of claims 1 to 8.
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