CN114373351A - Panoramic simulation training system for photoelectric theodolite - Google Patents
Panoramic simulation training system for photoelectric theodolite Download PDFInfo
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Abstract
The invention relates to the field of simulation systems, in particular to a panoramic simulation training system for a photoelectric theodolite. The system comprises a simulation training hardware device and a simulation training system; the simulation training hardware equipment comprises a host and data acquisition equipment; the host comprises a graphic workstation and a server; the data acquisition equipment comprises a single rod and a data acquisition card; the simulated training system adopts a C/S mode architecture and comprises a coach simulated training unit and a training seat simulated training unit. The invention adopts a mode of superposing a real target on a real background, restores the tracking process of the photoelectric theodolite in real scene, and effectively evaluates the capability level of a trainer.
Description
Technical Field
The invention relates to the field of simulation systems, in particular to the field of tracking measurement simulation training of optical measurement equipment.
Background
The electro-optic theodolite plays an important role in the optical measurement work. In the using process of the photoelectric theodolite, a target capturing and tracking mode combining automatic television target extraction and manual operator identification is mainly adopted, and the operator captures and tracks the target level and measures the success or failure of the task of psychological quality and affairs.
To achieve a high level of operator training, a sufficient number of repetitive exercises are required. However, from the practical point of view, under the condition of limited task arrangement and expenditure, the training cost of the operator by only relying on the real task is too high, so that an economic and reasonable training mode which is close to the actual tracking measurement, is convenient to organize and develop is needed to be created, the training cost is saved, and the training efficiency is improved.
At present, simulation training systems for photoelectric theodolites are all realized by adopting a simulation method, namely, a target simulation model is established and training is carried out in a simulation environment.
Li Xinyang et al published in Changchun university of science and technology the design of simulation system for simulation training of photoelectric theodolite, which is designed mainly based on Vega Prime, wherein the functions of simulation of target motion trail, simulation of relevant parameters and special effects of a camera and the like are realized, and an objective evaluation method based on statistics of tracking results is designed. The training mode is still different from the real environment, and the combination of the assessment mode and the evaluation method with the actual use is not tight enough.
The Yao study has published Master graduate thesis design and function implementation of certain photoelectric theodolite simulation training software, and a simulation training system for the design implementation is divided into a master control server, a group control server and a client. After the client is connected with the server, the client provides an equipment operation environment in cooperation with the server, and the training purpose is achieved. The system realizes the visual simulation by establishing a simulation environment database through Photoshop and DirectX3D software. The task issuing and the concurrent training of multiple clients are realized only by utilizing a network, and a unified assessment mechanism and an evaluation method are lacked. The simulation is realized by using a simulation mode, and the simulation is different from a real environment.
Disclosure of Invention
(I) technical problems to be solved by the invention
The invention aims to solve the technical problem of providing a panoramic simulation training system of the photoelectric theodolite, which adopts a mode of superposing a real target on a real background to realize real-scene reduction of the tracking process of the photoelectric theodolite and effectively evaluate the capability level of a trainer.
(II) the complete technical scheme provided by the invention
According to a first aspect of the invention, the invention provides a panoramic simulation training system for an electro-optic theodolite, which comprises two parts, namely simulation training hardware equipment and a simulation training system;
the simulation training hardware equipment comprises a host and data acquisition equipment; the host comprises a graphic workstation and a server, wherein the graphic workstation is used as a training terminal and is used for realizing the day-to-day error training and the examination of a trainer; the server is used as an assessment terminal and is used for realizing the management and organization of training and assessment; the data acquisition equipment comprises a single rod and a data acquisition card; the single rod is used as a man-machine interaction tool in the target tracking process and used for realizing the tracking of an operator on the target in the training and checking processes; the data acquisition card is used for realizing data acquisition and converting the data acquired by the single rod into digital signals.
The simulation training system adopts a C/S mode system structure and comprises a training seat simulation training unit and a training seat simulation training unit;
the coach simulation training unit is arranged on the server and used for organizing the examination of trainers and realizing the storage, management and analysis of information such as personnel, examination questions, scores and the like;
the training seat simulation training unit is arranged on the client and used for realizing simulation training and examination of theodolite operators; the database is arranged on the server, so that the coach simulation training unit can be used for carrying out centralized management on personal information of all users using the simulation training system, detecting the training state of the online user in real time and organizing the user for examination;
the server and the plurality of clients are connected in a local area network through network equipment; the plurality of clients are interconnected through the local area network, so that the trainers can be synchronously checked on the training seat simulation training system.
Further, the training simulation unit of the coach comprises a login verification module, a state monitoring module, an examination organizing module and a database management module;
the login verification module is used for verifying whether login personnel have corresponding coach seat authority in the process of logging in the coach seat simulation training system;
the state detection module is used for monitoring different states of online training, examination waiting and the like of each training position, ensuring that a coach position masters the dynamic state of each training position in real time, knowing the training condition and organizing the examination;
the examination organizing module is used for organizing the personnel in the training desk to carry out examination and monitoring the examination condition in real time when the training desk is in a state to be examined;
the database management module is used for storing information such as personnel, training, examination and the like, and realizing the addition, updating, modification and deletion of contents such as target types, working scenes, personnel information and the like through a human-computer interaction interface, so that the information management is facilitated.
Further, the training mat simulation training unit comprises a login verification module, a state monitoring module, a data acquisition module, an actual operation training module, an evaluation analysis module, a post playback module and a theoretical learning module;
the login verification module is used for verifying whether login personnel have corresponding training seat authority in the process of logging in the training seat simulation training unit;
the state detection module is used for sending different states of online training, waiting for examination and the like of each training mat, and ensuring that a coach mat masters the dynamics of the training mats in real time;
the data acquisition module is used for simulating the process of tracking a target by using a single rod when the photoelectric theodolite equipment is actually operated, and ensuring the single-rod tracking training of an operator without actual test equipment by acquiring tracking information fed back by the single rod in real time;
the practice training module is used for training a trainer in a non-examination state aiming at self weak links emphatically;
the evaluation and analysis module is used for evaluating and analyzing the results of target capture and tracking of the trainer after training is finished;
the post playback module is used for the trainer and the coach to review each action detail in the training process after the training is finished;
and the theoretical learning module is used for promoting the trainee to learn the theoretical knowledge besides the practice training.
Further, the practice training module adopts a three-layer structure of a user interface layer, a business processing layer and a data storage layer, and adopts a mode of superposing a real target on a real background to carry out real reduction on the shooting process of the photoelectric theodolite, and comprises a parameter setting module, an image splicing module, a target extracting module, an image display module, an auxiliary training module and an evaluation and analysis module;
and the parameter setting module is used for selecting the type of the training task and the corresponding difficulty. Because the background and the target used by the system are real and excessive sample size cannot be obtained from the economic point of view, different training difficulties are realized by setting different task types and different training parameters such as target movement speed, brightness, contrast and the like, so that the experience of a trainer is enriched and the adaptability of the trainer is improved;
the image splicing module carries out 360-degree panoramic splicing on a scene background video which is really shot by a certain photoelectric theodolite by adopting an image panoramic splicing method, and converts a three-dimensional space background into a two-dimensional plane panoramic image so as to restore a real scene when the image is displayed;
the target extraction module effectively partitions the actually shot target and the related interesting region from the background by utilizing a dynamic background reconstruction subtraction algorithm, is different from a method for establishing a target model by utilizing a simulation algorithm, takes the extracted real target as a subsequent training target set sample, and establishes a real sample library, so that the authenticity of the target during training is ensured;
the image display module is used for displaying a training tracking image in real time, a data acquisition card collects and feeds back a tracking angle value of a single rod in real time through the operation of a trainer on the single rod at any time of training tracking, the position of the angle value on the panoramic image is searched by utilizing a panoramic image addressing method matched with an image panoramic stitching method, the position of the angle value corresponding to a training target sample at the time on the panoramic image is compared, points corresponding to the two angle values are respectively used as central points, and the same size needing to be displayed is taken from the panoramic image for comparison: if the positions of the local image and the training target sample image are overlapped, the local image and the training target sample image can be displayed in a superposition mode according to the relative position, and if the positions of the local image and the training target sample image are not overlapped, only the local image is displayed, so that real-time feedback of the training tracking condition is achieved;
and the auxiliary training module is used for auxiliary training. As the levels of the trainers for tracking the target by operating the single rod are different, in order to give consideration to the trainers with different grades, the auxiliary training function arranged by the system can be manually turned on or off during training. Aiming at target loss, the module is designed to realize functions of target angle information prompt, target relative direction prompt or direct switching data guide and the like which can be opened or closed, and is convenient for a trainer to rapidly improve the operation capability according to self conditions.
And the evaluation analysis module is used for establishing an evaluation analysis mechanism according to the actual tracking requirement of the theodolite.
According to a second aspect of the present invention, the present invention further provides a panoramic simulation training method for an electro-optic theodolite, comprising:
step one, after a login verification module on a test taker login client side carries out training seat authority verification, a state detection module sends an online, training or waiting test preparation state to a training seat simulation training unit;
step two, the examiner logs in a coach simulation training unit and knows whether the examinee at the client is on line or not and is in an examination preparation state through a state detection module;
thirdly, the examiner selects a background picture and a target through the organization examination module, determines the type of the examination task, and then sets parameters, so that the initialization of the examination task is completed, and the examination condition is monitored in real time;
the examiner selects the examinees according to the information of the examinees to be examined displayed by the state detection module, and synchronously sends the examination tasks to all the clients participating in examination;
the examinee starts single-rod tracking training examination according to the examination task received by the client, and the data acquisition module on the client returns tracking information to the state detection module on the server in real time in the examination process, so that a coach can conveniently monitor the examination task;
and step six, after examination of the examinees is finished, the related data is stored in a database on the server so as to be stored and analyzed subsequently.
Further, the method comprises the following steps that after examination of the examinees is finished, the examiners perform target tracking effect evaluation on the operators through an evaluation analysis module, and the evaluation method comprises the following steps:
the evaluation and analysis module mainly refers to two indexes for evaluating the target tracking effect of the manipulator: tracking deviation amount and tracking smoothness; the tracking deviation is the deviation between the positioning of the single rod and a target tracking point in the horizontal and vertical directions, is used for correcting the inherent tendency error of an operator and is expressed by taking a pixel as a unit;
frame i tracking offset:
wherein u represents a pixel size of the imaging element, f represents a focal length, AiRepresenting the azimuth size of the i-th frame, EiRepresenting the pitch angle size of the ith frame;
tracking deviation mean value:
the scoring formula for tracking bias is:
wherein n isloseThe target loss times of the manipulator in the target tracking process are calculated; FOV represents field angle, MD represents mean deviation;
tracking jitter value being tracking jitter in horizontal and vertical directionsThe variation is used for representing the stability of target tracking, and the azimuth and pitch tracking angular speed VA is obtained by adopting the image inter-frame differenceiAnd VEi. Expressed by taking a pixel/frame as a unit;
frame i tracking jitter value:
standard deviation of tracking jitter:
the scoring formula for tracking the smoothness is as follows:
the comprehensive scoring formula is as follows:
ScoreT=0.4×ScoreE+0.6×ScoreS。
according to a third aspect of the present invention, the present invention also provides a computer device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the electro-optic theodolite panoramic simulation training method as described above when executing the computer program.
According to a fourth aspect of the present invention, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the optoelectronic theodolite panoramic simulation training method as described above.
The technical scheme of the invention brings beneficial effects
1) The invention adopts the mode of superposing the real target on the real background to reproduce the shooting scene of the photoelectric theodolite, thereby more highlighting the authenticity of the operation and enhancing the training effect of a trainer on the basis of ensuring the economy and the repeatable training.
2) The invention adopts a centralized assessment mechanism, and by synchronously comparing the training scores of different trainers, the invention is convenient for selecting corresponding operators with more excellent technical level according to the characteristics of different tasks, thereby better ensuring the execution of the tasks.
3) The invention designs a scoring mechanism of the high fit test reality, and objectively and effectively evaluates the ability level of a trainer from the practical viewpoint.
Drawings
FIG. 1 is a block diagram of a panoramic simulation training system for electro-optic theodolite according to the present invention;
fig. 2 is a hierarchical structure diagram of an actual operation training module of the photoelectric theodolite panoramic simulation training system provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, if not conflicted, the various features of the embodiments of the invention may be combined with each other within the scope of protection of the invention. Additionally, while functional block divisions are performed in apparatus schematics, with logical sequences shown in flowcharts, in some cases, steps shown or described may be performed in sequences other than block divisions in apparatus or flowcharts.
The following describes in detail a specific embodiment of the electro-optic theodolite panoramic simulation training system according to the present invention with reference to the accompanying drawings.
Referring to fig. 1, a first embodiment of the present invention provides a panoramic simulation training system for electro-optic theodolite, which includes two parts, namely a simulation training hardware device and a simulation training system.
The simulation training hardware equipment comprises a host and data acquisition equipment; the host comprises a graphic workstation and a server, wherein the graphic workstation is used as a training terminal and is used for realizing the day-to-day error training and the examination of a trainer; the server is used as an assessment terminal and is used for realizing the management and organization of training and assessment; the data acquisition equipment comprises a single rod and a data acquisition card; the single rod is used as a man-machine interaction tool in the target tracking process and used for realizing the tracking of an operator on the target in the training and checking processes; the data acquisition card is used for realizing data acquisition and converting the data acquired by the single rod into digital signals.
The simulation training system adopts a C/S mode system structure and is used for realizing the management and control of a plurality of clients by one server, not only allowing the clients to carry out single-machine training, but also supporting real-time networking, and organizing the plurality of clients to carry out synchronous assessment by the server; the server and the plurality of clients are connected in a local area network through network equipment. The simulated training system comprises a coach simulated training unit and a training seat simulated training unit.
The trainer seat simulation training unit is arranged on the server and used for organizing the examination of trainers and realizing the storage, management and analysis of information such as personnel, examination questions and scores; the coach simulation training unit realizes centralized management of personal information of all users using the simulation training system by arranging a database on the server, detects the training state of the online users in real time and organizes the users to perform examination.
The training seat simulation training unit is arranged on the client and used for realizing simulation training and examination of theodolite operators. The plurality of clients are interconnected through the local area network, so that the trainers can be synchronously checked on the training seat simulation training software, and the software can be flexibly used conveniently.
In a preferred embodiment, the trainer simulated training unit comprises a login verification module, a state monitoring module, an organization examination module and a database management module.
The login verification module is used for verifying whether login personnel have corresponding coach seat authority or not in the process of logging in software.
The state detection module is used for monitoring different states of each training agent such as online, training and examination waiting, and ensures that the training agents master the dynamics of each training agent in real time, know the training condition and organize the examination.
The examination organizing module is used for organizing the personnel in the training desk to carry out examination when the training desk is in a state to be examined, and monitoring the examination condition in real time.
The database management module is used for storing information such as personnel, training, examination and the like, and realizing addition, update, modification and deletion of contents such as target types, test scenes, personnel information and the like through a human-computer interaction interface, so that information management is facilitated.
The organization examination module adopts a mode of flexibly setting relevant elements of the test, adjusts the difficulty degree of the examination and shows a simulation training scene with high reality degree and complex conditions.
In a preferred embodiment, the training seat simulation training unit comprises a login verification module, a state monitoring module, a data acquisition module, an actual exercise training module, an evaluation analysis module, a post playback module and a theoretical learning module.
The login verification module is used for verifying whether login personnel have corresponding trainer authority in the process of logging in software.
The state detection module is used for sending different states of online training, waiting for examination and the like of each training agent, and ensures that a coach agent can master the dynamics of the training agents in real time.
The data acquisition module is used for simulating the process of tracking a target by using a single rod when the photoelectric theodolite equipment is actually operated, and ensuring the single-rod tracking training of an operator without actual test equipment by acquiring tracking information fed back by the single rod in real time.
The practice training module is used for training a trainer in a non-examination state aiming at self weak links emphatically.
The evaluation and analysis module is used for evaluating and analyzing the results of target capture and tracking of the trainer after training is finished, and provides data support for comprehensively analyzing the technical level of the trainer.
The post playback module is used for the trainer and the coach to review each action detail in the training process after the training is finished, so that the experience can be summarized conveniently, technical defects can be found, and the targeted training can be further developed;
the theoretical learning module is used for promoting a trainer to learn theoretical knowledge outside actual practice training, so that the foundation is convenient to tamp, and the prejudgment capability of the trainer in the training is improved.
Referring to fig. 2, the practice training module is further divided into three layers of structures, namely a user interface layer, a service processing layer and a data storage layer, and performs real restoration on the shooting process of the electro-optic theodolite in a manner of superimposing a real target on a real background, and comprises a parameter setting module, an image splicing module, a target extraction module, an image display module and an auxiliary training module.
And the parameter setting module is used for selecting a training task and corresponding difficulty. As the background and the target used by the system are real and excessive sample size cannot be obtained from the economic point of view, different training difficulties are realized by setting different task types and different training parameters such as target movement speed, brightness, contrast and the like, so that the experience of a trainer is enriched and the adaptability of the trainer is improved.
The image splicing module carries out 360-degree panoramic splicing on a scene background video which is really shot by a certain photoelectric theodolite by adopting an image panoramic splicing method, and converts a three-dimensional space background into a two-dimensional plane panoramic image so as to restore a real scene when the image is displayed.
The target extraction module effectively partitions the actually shot target and the related interesting region from the background by using a dynamic background reconstruction subtraction algorithm, is different from a method for establishing a target model by using a simulation algorithm, and establishes a real sample library by taking the extracted real target as a subsequent training target set sample, thereby ensuring the authenticity of the target during training.
The image display module is used for displaying a training tracking image in real time, a data acquisition card collects and feeds back a tracking angle value of a single rod in real time through the operation of a trainer on the single rod at any time of training tracking, the position of the angle value on the panoramic image is searched by utilizing a panoramic image addressing method matched with an image panoramic stitching method, the position of the angle value corresponding to a training target sample at the time on the panoramic image is compared, points corresponding to the two angle values are respectively used as central points, and the same size needing to be displayed is taken from the panoramic image for comparison: if the positions of the local image and the training target sample image are overlapped, the local image and the training target sample image can be displayed in a superposition mode according to the relative position, and if the positions of the local image and the training target sample image are not overlapped, only the local image is displayed, so that real-time feedback of the training tracking condition is achieved.
And the auxiliary training module is used for auxiliary training. As the levels of the trainers for tracking the target by operating the single rod are different, in order to give consideration to the trainers with different grades, the auxiliary training function arranged by the system can be manually turned on or off during training. Aiming at target loss, the module is designed to realize functions of target angle information prompt, target relative direction prompt or direct switching data guide and the like which can be opened or closed, and is convenient for a trainer to rapidly improve the operation capability according to self conditions.
And the evaluation analysis module is used for establishing an evaluation analysis mechanism according to the actual tracking requirement of the theodolite.
The embodiment of the invention also provides a panoramic simulation training method of the photoelectric theodolite, and the training method can be suitable for the panoramic simulation training system of the photoelectric theodolite in the embodiment. The panoramic simulation training method of the electro-optic theodolite comprises the following steps:
step one, after a login verification module on a test taker login client side carries out training seat authority verification, a state detection module sends an online, training or waiting test preparation state to a training seat simulation training unit;
step two, the examiner logs in a coach simulation training unit and knows whether the examinee at the client is on line or not and is in an examination preparation state through a state detection module;
thirdly, the examiner selects a background picture and a target through the organization examination module, determines the type of the examination task, and then sets parameters, so that the initialization of the examination task is completed, and the examination condition is monitored in real time;
the examiner selects the examinees according to the information of the examinees to be examined displayed by the state detection module, and synchronously sends the examination tasks to all the clients participating in examination;
the examinee starts single-rod tracking training examination according to the examination task received by the client, and the data acquisition module on the client returns tracking information to the state detection module on the server in real time in the examination process, so that a coach can conveniently monitor the examination task;
and step six, after examination of the examinees is finished, the related data is stored in a database on the server so as to be stored and analyzed subsequently.
In a preferred embodiment of the present invention, starting from the fact that the target should be located in the center of the field of view as much as possible and improving the imaging quality of the target, in order to evaluate the target tracking effect of the manipulator, an embodiment of the present invention further includes: after the examination of the examinees is finished, the examiner carries out the evaluation of the target tracking effect of the operator through the evaluation and analysis module, and the evaluation method comprises the following steps:
the tracking deviation amount is the deviation amount of the positioning of the single rod and a target tracking point in the horizontal and vertical directions, is used for correcting the inherent tendency error of an operator and is expressed by taking a pixel as a unit. Wherein u represents a pixel size of the imaging element, f represents a focal length, AiRepresenting the azimuth size of the i-th frame, EiRepresenting the azimuth size of the i-th frame. FOV represents the field angle and MD representsAnd (6) average deviation.
Frame i tracking offset:
tracking deviation mean value:
the scoring formula for tracking bias is:
wherein n isloseThe number of times that the target is lost in the target tracking process of the manipulator is shown.
Tracking jitter values are tracking jitter variable quantities in horizontal and vertical directions and are used for representing the stability degree of target tracking, and azimuth and pitch tracking angular speeds VA are obtained by adopting image inter-frame differenceiAnd VEi. Expressed in units of pixels/frame.
Frame i tracking jitter value:
standard deviation of tracking jitter:
the scoring formula for tracking the smoothness is as follows:
the comprehensive scoring formula is as follows:
ScoreT=0.4×ScoreE+0.6×ScoreS
embodiments of the present invention also provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which, when executed by a computer, enable the computer to perform the methods provided by the above-mentioned method embodiments.
The embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the methods provided by the above method embodiments.
Through the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be implemented by software plus a general hardware platform. Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A panoramic simulation training system for a photoelectric theodolite is characterized by comprising simulation training hardware equipment and a simulation training system;
the simulation training hardware equipment comprises a host and data acquisition equipment; the host comprises a graphic workstation and a server, wherein the graphic workstation is used as a training terminal and is used for realizing the day-to-day error training and the examination of a trainer; the server is used as an assessment terminal and is used for realizing the management and organization of training and assessment; the data acquisition equipment comprises a single rod and a data acquisition card; the single rod is used as a man-machine interaction tool in the target tracking process and used for realizing the tracking of an operator on the target in the training and checking processes; the data acquisition card is used for realizing data acquisition and converting the data acquired by the single rod into digital signals;
the simulation training system adopts a C/S mode system structure and comprises a training seat simulation training unit and a training seat simulation training unit; the coach simulation training unit is arranged on the server and used for organizing the examination of trainers and realizing the storage, management and analysis of information such as personnel, examination questions, scores and the like; the training seat simulation training unit is arranged on the client and used for realizing simulation training and examination of theodolite operators; the database is arranged on the server, so that the coach simulation training unit can be used for carrying out centralized management on personal information of all users using the simulation training system, detecting the training state of the online user in real time and organizing the user for examination;
the server and the plurality of clients are connected in a local area network through network equipment; the plurality of clients are interconnected through the local area network, so that the trainers can be synchronously checked on the training seat simulation training system.
2. The electro-optic theodolite panoramic simulation training system of claim 1, wherein the trainer seat simulation training unit comprises a login verification module, a state monitoring module, an organization examination module and a database management module;
the login verification module is used for verifying whether login personnel have corresponding coach seat authority in the process of logging in the coach seat simulation training system;
the state detection module is used for monitoring different states of online training, examination waiting and the like of each training position, ensuring that a coach position masters the dynamic state of each training position in real time, knowing the training condition and organizing the examination;
the examination organizing module is used for organizing the personnel in the training desk to carry out examination and monitoring the examination condition in real time when the training desk is in a state to be examined;
the database management module is used for storing information such as personnel, training, examination and the like, and realizing the addition, updating, modification and deletion of contents such as target types, working scenes, personnel information and the like through a human-computer interaction interface, so that the information management is facilitated.
3. The panoramic simulation training system of electro-optic theodolite according to claim 1, wherein the training agent simulation training unit comprises a login verification module, a state monitoring module, a data acquisition module, an actual operation training module, an evaluation analysis module, a post playback module and a theoretical learning module;
the login verification module is used for verifying whether login personnel have corresponding training seat authority in the process of logging in the training seat simulation training unit;
the state detection module is used for sending different states of online training, waiting for examination and the like of each training mat, and ensuring that a coach mat masters the dynamics of the training mats in real time;
the data acquisition module is used for simulating the process of tracking a target by using a single rod when the photoelectric theodolite equipment is actually operated, and ensuring the single-rod tracking training of an operator without actual test equipment by acquiring tracking information fed back by the single rod in real time;
the practice training module is used for training a trainer in a non-examination state aiming at self weak links emphatically;
the evaluation and analysis module is used for evaluating and analyzing the results of target capture and tracking of the trainer after training is finished;
the post playback module is used for the trainer and the coach to review each action detail in the training process after the training is finished;
and the theoretical learning module is used for promoting the trainee to learn the theoretical knowledge besides the practice training.
4. The panoramic simulation training system of the electro-optic theodolite according to claim 3, wherein the practice training module adopts a three-layer structure of a user interface layer, a service processing layer and a data storage layer, and adopts a mode of superimposing a real target on a real background to truly restore the shooting process of the electro-optic theodolite, and comprises a parameter setting module, an image splicing module, a target extracting module, an image display module, an auxiliary training module and an evaluation and analysis module;
the parameter setting module is used for selecting the type of the training task and the corresponding difficulty;
the image splicing module carries out 360-degree panoramic splicing on a scene background video which is really shot by a certain photoelectric theodolite by adopting an image panoramic splicing method, and converts a three-dimensional space background into a two-dimensional plane panoramic image so as to restore a real scene when the image is displayed;
the target extraction module effectively partitions an actually shot target and a related region of interest from a background by utilizing a dynamic background reconstruction subtraction algorithm, takes the extracted real target as a subsequent training target set sample, and establishes a real sample library;
the image display module is used for displaying the training tracking image in real time, realizing the real-time superposition display of the local image and the training target sample image and ensuring the correct display of the training image;
the auxiliary training module is used for auxiliary training, so that a trainer can quickly improve the operation capability according to the self condition;
and the evaluation analysis module is used for establishing an evaluation analysis mechanism according to the actual tracking requirement of the theodolite.
5. The electro-optic theodolite panoramic simulation training system of claim 4, wherein the method for realizing the real-time superposition display of the local image and the training target sample image by the image display module is as follows:
at any moment of training and tracking, through the operation of a trainer on the single rod, the data acquisition card acquires and feeds back the tracking angle value of the single rod in real time, the position of the angle value on the panoramic image is searched by using a panoramic image addressing method, the position of the angle value on the panoramic image corresponding to a training target sample at the moment is compared, the points corresponding to the two angle values are respectively used as central points, and the same size needing to be displayed is taken on the panoramic image for comparison: if the positions of the local image and the training target sample image are overlapped, the local image and the training target sample image can be displayed in a superposition mode according to the relative position, and if the positions of the local image and the training target sample image are not overlapped, only the local image is displayed, so that real-time feedback of the training tracking condition is achieved.
6. A simulation training method using the electro-optic theodolite panoramic simulation training system of any one of claims 1 to 5, the method comprising:
step one, after a login verification module on a test taker login client side carries out training seat authority verification, a state detection module sends an online, training or waiting test preparation state to a training seat simulation training unit;
step two, the examiner logs in a coach simulation training unit and knows whether the examinee at the client is on line or not and is in an examination preparation state through a state detection module;
thirdly, the examiner selects a background picture and a target through the organization examination module, determines the type of the examination task, and then sets parameters, so that the initialization of the examination task is completed, and the examination condition is monitored in real time;
the examiner selects the examinees according to the information of the examinees to be examined displayed by the state detection module, and synchronously sends the examination tasks to all the clients participating in examination;
the examinee starts single-rod tracking training examination according to the examination task received by the client, and the data acquisition module on the client returns tracking information to the state detection module on the server in real time in the examination process, so that a coach can conveniently monitor the examination task;
and step six, after examination of the examinees is finished, the related data is stored in a database on the server so as to be stored and analyzed subsequently.
7. The method of claim 6, further comprising the step of evaluating the tracking effect of the operator by the evaluation and analysis module after the examination by the examinee, wherein the evaluation method comprises the following steps:
the evaluation and analysis module mainly refers to two indexes for evaluating the target tracking effect of the manipulator: tracking deviation amount and tracking smoothness; the tracking deviation is the deviation between the positioning of the single rod and a target tracking point in the horizontal and vertical directions, is used for correcting the inherent tendency error of an operator and is expressed by taking a pixel as a unit;
frame i tracking offset:
wherein u represents a pixel size of the imaging element, f represents a focal length, AiRepresenting the azimuth size of the i-th frame, EiRepresenting the pitch angle size of the ith frame;
tracking deviation mean value:
the scoring formula for tracking bias is:
wherein n isloseThe target loss times of the manipulator in the target tracking process are calculated; FOV represents field angle, MD represents mean deviation;
tracking jitter values are tracking jitter variable quantities in horizontal and vertical directions and are used for representing the stability degree of target tracking, and azimuth and pitch tracking angular speeds VA are obtained by adopting image inter-frame differenceiAnd VEi. Expressed by taking a pixel/frame as a unit;
frame i tracking jitter value:
standard deviation of tracking jitter:
the scoring formula for tracking the smoothness is as follows:
the comprehensive scoring formula is as follows:
ScoreT=0.4×ScoreE+0.6×ScoreS。
8. a computer device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the electro-optic theodolite panoramic simulation training method of any one of claims 6 to 7 when executing the computer program.
9. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method according to any one of claims 6 to 7.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116524781A (en) * | 2023-07-03 | 2023-08-01 | 中国科学院长春光学精密机械与物理研究所 | Simulation training and evaluating method and system for photoelectric measurement and control equipment |
CN117116113A (en) * | 2023-10-19 | 2023-11-24 | 中国科学院长春光学精密机械与物理研究所 | Ship-borne photoelectric theodolite simulation training device |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR1129535A (en) * | 1954-04-30 | 1957-01-22 | Askania Werke Ag | Phototheodolite |
US4672438A (en) * | 1985-06-28 | 1987-06-09 | Her Majesty The Queen In Right Of Canada | Tracking simulator |
US6031606A (en) * | 1995-08-03 | 2000-02-29 | Leica Geosystems Ag | Process and device for rapid detection of the position of a target marking |
CN1621781A (en) * | 2003-11-28 | 2005-06-01 | 中国科学院光电技术研究所 | Target simulation method for photoelectric theodolite |
CN101488293A (en) * | 2009-02-24 | 2009-07-22 | 长春理工大学 | Electro-optic theodolite optical target generator adopting microstructure LCD |
CN102608922A (en) * | 2012-03-27 | 2012-07-25 | 中国科学院光电技术研究所 | Real-time visual simulation platform of photoelectric theodolite based on Vega and RTW |
CN102722118A (en) * | 2012-05-30 | 2012-10-10 | 中国科学院长春光学精密机械与物理研究所 | Digital single-lever control system |
CN103235518A (en) * | 2013-04-19 | 2013-08-07 | 中国科学院光电技术研究所 | Testing method and platform for photoelectric tracking stable system |
CN105373011A (en) * | 2015-12-01 | 2016-03-02 | 中国科学院长春光学精密机械与物理研究所 | Real-time simulation system for detection of photoelectric tracking device and computer comprising the same |
CN205388843U (en) * | 2016-01-29 | 2016-07-20 | 国家电网公司 | Standardization training frock is used in theodolite training teaching |
DE202018105162U1 (en) * | 2018-09-10 | 2018-10-18 | Edag Engineering Gmbh | Environmental simulation system for a test rig for testing technical installations or machines and such a test bench |
-
2021
- 2021-12-08 CN CN202111493961.7A patent/CN114373351B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR1129535A (en) * | 1954-04-30 | 1957-01-22 | Askania Werke Ag | Phototheodolite |
US4672438A (en) * | 1985-06-28 | 1987-06-09 | Her Majesty The Queen In Right Of Canada | Tracking simulator |
US6031606A (en) * | 1995-08-03 | 2000-02-29 | Leica Geosystems Ag | Process and device for rapid detection of the position of a target marking |
CN1621781A (en) * | 2003-11-28 | 2005-06-01 | 中国科学院光电技术研究所 | Target simulation method for photoelectric theodolite |
CN101488293A (en) * | 2009-02-24 | 2009-07-22 | 长春理工大学 | Electro-optic theodolite optical target generator adopting microstructure LCD |
CN102608922A (en) * | 2012-03-27 | 2012-07-25 | 中国科学院光电技术研究所 | Real-time visual simulation platform of photoelectric theodolite based on Vega and RTW |
CN102722118A (en) * | 2012-05-30 | 2012-10-10 | 中国科学院长春光学精密机械与物理研究所 | Digital single-lever control system |
CN103235518A (en) * | 2013-04-19 | 2013-08-07 | 中国科学院光电技术研究所 | Testing method and platform for photoelectric tracking stable system |
CN105373011A (en) * | 2015-12-01 | 2016-03-02 | 中国科学院长春光学精密机械与物理研究所 | Real-time simulation system for detection of photoelectric tracking device and computer comprising the same |
CN205388843U (en) * | 2016-01-29 | 2016-07-20 | 国家电网公司 | Standardization training frock is used in theodolite training teaching |
DE202018105162U1 (en) * | 2018-09-10 | 2018-10-18 | Edag Engineering Gmbh | Environmental simulation system for a test rig for testing technical installations or machines and such a test bench |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116524781A (en) * | 2023-07-03 | 2023-08-01 | 中国科学院长春光学精密机械与物理研究所 | Simulation training and evaluating method and system for photoelectric measurement and control equipment |
CN117116113A (en) * | 2023-10-19 | 2023-11-24 | 中国科学院长春光学精密机械与物理研究所 | Ship-borne photoelectric theodolite simulation training device |
CN117116113B (en) * | 2023-10-19 | 2024-01-02 | 中国科学院长春光学精密机械与物理研究所 | Ship-borne photoelectric theodolite simulation training device |
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