CN115689305A - Method and system for evaluating intelligent degree of mine construction - Google Patents
Method and system for evaluating intelligent degree of mine construction Download PDFInfo
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- CN115689305A CN115689305A CN202211324969.5A CN202211324969A CN115689305A CN 115689305 A CN115689305 A CN 115689305A CN 202211324969 A CN202211324969 A CN 202211324969A CN 115689305 A CN115689305 A CN 115689305A
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Abstract
The invention provides an assessment method and system for the intelligent degree of mine construction, and relates to the technical field of data processing, wherein the adaptability evaluation is carried out according to the layout information of an image acquisition device in a mine and the data information of a mine foundation structure, the image acquisition evaluation is carried out according to the image data acquired by the image acquisition device, a mine accident test scene is constructed, and the test fitting is carried out on the basis of the test scene to obtain the early warning response information of a mine response module for the response evaluation of the mine; and generating a mine intelligent evaluation result through the adaptability evaluation result, the collected image evaluation result and the response evaluation result. The method solves the technical problems that the evaluation reliability of the intelligent degree of the actual construction of an intelligent mine is not enough, the optimization and the improvement of the mine construction are not facilitated, and the safety of the mine is improved in the prior art. The intelligent degree of mine construction can be accurately judged, the intelligent mine construction can be optimized conveniently, and the use safety and reliability of an intelligent mine can be improved.
Description
The technical field is as follows:
the invention relates to the technical field of data processing, in particular to an assessment method and system for the intelligent degree of mine construction.
Background art:
coal mine resource mining all is the trade that has very big operation risk since ancient times, along with the development of industry transformation and intelligent technology, sensing transmission technology and artificial intelligence technique get into traditional mineral resources mining trade, replace the manual work to engage in dangerous mining work and carry out mine risk prediction, constantly improve the degree of safety of mine operation, reduce mine accident probability and accident influence nature.
When a mine is intelligently constructed, the data monitoring reliability and the risk prediction capability of monitoring equipment for monitoring mine conditions and operation conditions in an intelligent mine are still in a cognitive blind area, and the intelligent degree of mine construction cannot be accurately obtained, so that a fall exists between the intelligent construction concept of the mine and actual implementation, and the intelligent construction engineering of the mine is not facilitated to be promoted.
The technical problems that the evaluation reliability of the actual construction intelligentization degree of an intelligent mine is not enough, the mine construction optimization improvement is not facilitated to be carried out by reference, and the safety of the intelligent mine is improved exist in the prior art.
The invention content is as follows:
the application provides an assessment method and an assessment system for the intelligent degree of mine construction, which are used for solving the technical problems that in the prior art, the assessment reliability of the intelligent degree of actual construction of an intelligent mine is not enough, the optimization and improvement of mine construction are not facilitated by reference, and the safety of the intelligent mine is improved.
In view of the above problems, the present application provides a method and a system for evaluating the intelligence degree of mine construction.
In a first aspect of the present application, there is provided a method for evaluating the degree of intelligence in mine construction, the method comprising: obtaining basic structure data information of a target mine; collecting the layout information of the image collecting device in the target mine, and performing initial suitability evaluation based on the layout information and the basic structure data information to generate a suitability evaluation result; acquiring image data acquired by the image acquisition device, and performing acquired image evaluation based on the acquired image data to generate an acquired image evaluation result; constructing a test scene, and performing test fitting based on the test scene to obtain early warning response information of the mine response module; performing response evaluation on the target mine based on the early warning response information to generate a response evaluation result; and generating an intelligent evaluation result of the target mine according to the suitability evaluation result, the acquired image evaluation result and the response evaluation result.
In a second aspect of the present application, there is provided an assessment system for the degree of intelligence in mine construction, the system comprising: the structural data acquisition module is used for acquiring basic structural data information of the target mine; the adaptive evaluation execution module is used for acquiring the layout information of the image acquisition devices in the target mine, and performing initial adaptive evaluation on the basis of the layout information and the basic structure data information to generate an adaptive evaluation result; the acquisition image evaluation module is used for acquiring acquisition image data of the image acquisition device, evaluating the acquisition image based on the acquisition image data and generating an acquisition image evaluation result; the test scene construction module is used for constructing a test scene, and performing test fitting based on the test scene to obtain early warning response information of the mine response module; the response evaluation execution module is used for performing response evaluation on the target mine based on the early warning response information and generating a response evaluation result; and the evaluation result generation module is used for generating an intelligent evaluation result of the target mine according to the adaptability evaluation result, the acquired image evaluation result and the response evaluation result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method provided by the embodiment of the application provides an evaluation standard for the subsequent layout evaluation of the image acquisition devices by obtaining the basic structure data information of the target mine, acquires the layout information of the image acquisition devices in the target mine, performs initial suitability evaluation based on the layout information and the basic structure data information to generate a suitability evaluation result, and performs hardware layout evaluation on the layout uniformity and redundancy of the image acquisition devices in the target mine; acquiring image data acquired by the image acquisition device, performing image acquisition evaluation based on the acquired image data, generating an acquired image evaluation result, and performing intelligent degree evaluation from the dimension of image data acquisition capacity of the image acquisition device; constructing a test scene, performing test fitting based on the test scene to obtain early warning response information of the mine response module, performing response evaluation of the target mine based on the early warning response information, and generating a response evaluation result; and generating an intelligent evaluation result of the target mine according to the suitability evaluation result, the acquired image evaluation result and the response evaluation result, and evaluating the intelligent degree from multiple dimensions of the effectiveness of the installation and arrangement positions of the image acquisition devices, the accuracy of the image acquisition devices in abnormal conditions, the effectiveness of information verification, the early warning accuracy and instantaneity of mine accidents. The intelligent degree of accurate judgment of mine construction is achieved, the intelligent construction of the mine is convenient to optimize, and the use safety of an intelligent mine and the operation reliability of mine operation are improved.
Description of the drawings:
fig. 1 is a schematic flow chart of an evaluation method for the intelligent degree of mine construction provided in the present application;
fig. 2 is a schematic flow chart of an evaluation result of acquired images obtained in the evaluation method for the intelligent degree of mine construction provided by the present application;
fig. 3 is a schematic flow chart illustrating the acquisition of early warning response information in the evaluation method for the intelligent degree of mine construction according to the present application;
fig. 4 is a schematic structural diagram of an evaluation system for the degree of intelligence of mine construction according to the present application.
Description of reference numerals: the system comprises a structural data obtaining module 11, an adaptive evaluation executing module 12, an acquired image evaluating module 13, a test scene constructing module 14, a response evaluation executing module 15 and an evaluation result generating module 16.
The specific implementation mode is as follows:
the application provides an assessment method and system for the intelligent degree of mine construction, which are used for solving the technical problems that in the prior art, the assessment reliability of the intelligent degree of actual construction of an intelligent mine is insufficient, the reference is not facilitated to carry out optimization and improvement of mine construction and the safety of the intelligent mine is improved, the intelligent degree of mine construction is accurately judged, the intelligent construction of the mine is convenient to optimize, and the use safety of the intelligent mine and the operation reliability of mine operation are improved.
In the technical scheme of the invention, the data acquisition, storage, use, processing and the like all conform to relevant regulations of national laws and regulations.
In the following, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention. It should be further noted that, for the convenience of description, only some but not all of the elements associated with the present invention are shown in the drawings.
Example one
As shown in fig. 1, the present application provides a method for evaluating the intelligent degree of mine construction, the method is applied to an intelligent evaluation system, the intelligent evaluation system is in communication connection with a mine response module and an image acquisition device, and the method comprises:
s100, acquiring basic structure data information of a target mine;
specifically, the mine is an excavation for the purpose of facilitating mining and transportation of mineral products, and a ground transportation facility is connected with the mine to mine and an underground mineral deposit to mine and transport underground mineral resources. And the basic structure data information of the target mine is mine building structure information obtained based on the building drawing of the target mine and the actual building construction information.
In this embodiment, the target mine is an intelligent mine which realizes intelligent analysis and early warning of mine danger by arranging various types of image acquisition devices, sensors and alarm devices to acquire mine information in real time on the basis of a traditional mine and analyzing various types of data acquired by the mine in real time through a data analysis method.
And generating initial structure data information of the target mine based on the building drawing of the target mine, and correcting the initial structure data information by combining with actual building construction information of the target mine to obtain the basic structure data information reflecting the actual building structure of the target mine.
S200, collecting layout information of the image collecting device in the target mine, and performing initial suitability evaluation based on the layout information and the basic structure data information to generate a suitability evaluation result;
specifically, the image acquisition device is arranged in the target mine and used for acquiring the building conditions in the mine and dynamic image data acquired by mineral resources in real time, and performing mine risk analysis and early warning according to the image data acquired by the image acquisition device, so that the operation safety of the target mine is improved, and therefore, the image acquisition device is uniformly arranged in the target mine, the image acquisition without dead angles in the target mine can be performed to the maximum extent, and the arrangement principle that the image acquisition device is not redundant is taken as the arrangement principle.
In this embodiment, the layout information of the image acquisition device in the target mine is acquired, and the initial suitability evaluation of the image acquisition device in the target mine is performed according to the layout information in combination with the infrastructure data information of the target mine, where the initial suitability evaluation includes evaluation of the layout uniformity and the layout redundancy, and an suitability evaluation result is generated, and the suitability evaluation result reflects whether the image acquisition device in the target mine is uniformly laid and whether the layout redundancy exists.
S300, acquiring the acquired image data of the image acquisition device, and performing acquired image evaluation based on the acquired image data to generate an acquired image evaluation result;
further, as shown in fig. 2, the method provided by the present application further includes:
s310, carrying out scene recognition on the collected image data, carrying out collection coverage comprehensiveness evaluation according to a scene recognition result and the basic structure data information, and generating coverage comprehensiveness evaluation data;
s320, setting n position test points in the target mine, wherein n is a positive integer greater than 3;
s330, carrying out exception test on the n test points, and obtaining test image data of the image acquisition device in the exception test process;
s340, performing multi-angle coverage evaluation on the n test points based on the test image data to generate a multi-angle coverage evaluation result;
and S350, obtaining the acquired image evaluation result through the coverage comprehensiveness evaluation data and the multi-angle coverage evaluation result.
Specifically, in this embodiment, after knowing the layout condition of the image capturing device in the target mine based on step S200, the capability of the image capturing device to actually capture the image of the target mine is analyzed and determined.
And the comprehensive evaluation of the acquisition coverage is carried out according to the proportion of an acquisition visual blind area of the image acquisition device in the target mine to a visual area of the target mine. The abnormity test is obtained according to the identification accuracy of the abnormal conditions in the target mine under different light visibility conditions by the test image acquisition device. And the multi-angle coverage evaluation is obtained by verifying the abnormal condition of the abnormal test site according to whether the abnormal test site can realize the omnibearing image information acquisition of the test point based on a plurality of image acquisition devices.
In this embodiment, acquired image data of the image acquisition devices arranged at each position point in the target mine is acquired, scene recognition is performed according to the acquired image data to obtain a scene recognition result, and the range of the image acquisition devices arranged at the position points in the target mine, which can be acquired, is determined according to the scene recognition result.
And obtaining the range of the images which can be acquired by the image acquisition devices distributed at all the sites in the target mine by adopting the same method, obtaining the total range of the images which can be acquired by all the image acquisition devices distributed in the target mine, obtaining the range of the visible area of the target mine according to the infrastructure data information, and obtaining the visual blind area of the image acquisition devices in the target mine based on the total range of the images which can be acquired and the range of the visible area of the target mine in a reverse thrust manner. And calculating the occupation condition of the visual blind area of the image acquisition device in the target mine in the visual area range of the target mine to perform acquisition coverage comprehensiveness evaluation, and generating coverage comprehensiveness evaluation data.
According to the total range of the images which can be acquired by the image acquisition device in the target mine, n test points with abnormal conditions are arranged in the target mine, n is a positive integer larger than 3, the n test points are subjected to abnormal test in different brightness scenes, test image data of the image acquisition device in the abnormal test process are obtained, and according to the test image data, the accuracy of the image acquisition device in identifying the abnormal conditions of the n test points in different brightness scenes is obtained.
And carrying out multi-angle image information acquisition on the n test points by combining with other arbitrary image acquisition devices at adjacent sites of the image acquisition device for acquiring the test image data, carrying out auxiliary verification of an abnormal test, and carrying out multi-angle coverage evaluation according to the acquisition angle coverage integrity and the image acquisition response time of the multi-angle image information acquisition. And generating a multi-angle coverage evaluation result according to multi-angle coverage response time information of test points which can realize multi-angle coverage in n test points in different test image data, and obtaining the collected image evaluation result through the coverage comprehensive evaluation data and the multi-angle coverage evaluation result.
The embodiment can acquire the area range of image acquisition in the target mine by acquiring the image acquisition device, acquire the accuracy of abnormal detection condition identification and discovery in different brightness scenes and response time information for completing multi-angle image acquisition on acquisition points which assist in verifying the multi-angle coverage acquisition of the abnormal detection condition in the area range of the image acquisition, achieve the comprehensive evaluation of the image acquisition of the target mine from image acquisition integrity, definition and comprehensiveness and multiple dimensions, and provide comprehensive reference information for the follow-up evaluation of the intelligent degree of mine construction.
S400, constructing a test scene, and performing test fitting based on the test scene to obtain early warning response information of the mine response module;
further, as shown in fig. 3, the constructing a test scenario and performing test fitting based on the test scenario to obtain the early warning response information of the mine response module, where step S400 of the method provided by the present application further includes:
s410, acquiring the image of the test scene through the image acquisition device to obtain an evaluation image;
s420, performing image feature recognition of the evaluation image based on the mine response module, and generating early warning information based on a feature recognition result;
s430, obtaining a response accuracy evaluation parameter according to the scene matching degree of the early warning information and the test scene;
and S440, obtaining early warning response information of the mine response module through the response accuracy evaluation parameters.
Further, the method provided by the present application further includes:
s441, acquiring early warning time information of the early warning information;
s442, evaluating the response speed based on the early warning time information and the test scene to obtain a response speed evaluation parameter;
and S443, obtaining early warning response information of the mine response module through the response speed evaluation parameter and the response accuracy evaluation parameter.
Specifically, in the embodiment, historical mine accident cases are obtained according to big data, and a plurality of test scenarios are constructed according to accident occurrence signs in the historical mine accident cases, where the test scenarios include, but are not limited to, mine collapse, transportation accidents, and water damage accidents. And meanwhile, according to historical mine accident cases, mine performance characteristics of various types of accidents and mine accident occurrence risks are extracted to construct the mine response module.
Constructing the test scene in a target mine, and acquiring an image of the test scene through the image acquisition device to obtain an evaluation image for analyzing and evaluating the mine accident type corresponding to the test scene; and performing image feature recognition on the evaluation image based on the mine response module to obtain multiple risk feature recognition results, outputting mine accident prediction types and accident early warning grades based on the feature recognition results, and generating corresponding early warning information to remind mine underground operators to evacuate.
And comparing scene matching degree according to the mine accident prediction type and the accident early warning grade of the early warning information and the actually constructed mine accident type and accident grade of the test scene, and obtaining response accuracy evaluation parameters according to the deviation degree of the accident type and the accident grade.
And obtaining the construction completion time of the test scene, recording the early warning time information generated by the early warning information, and evaluating the response speed based on the early warning time information and the test scene to obtain response speed evaluation parameters.
And obtaining early warning response information of the mine response module according to the response speed evaluation parameter and the response accuracy evaluation parameter.
In the embodiment, mine accidents of different accident grades and accident types are constructed to carry out the test of the accuracy of the early warning information output by the mine response module and the response speed, so that the technical effect of carrying out the intelligent degree evaluation on the target mine construction in the aspects of timeliness of mine accident discovery and the early warning accuracy of the accident types is realized.
S500, performing response evaluation on the target mine based on the early warning response information to generate a response evaluation result;
s600, generating an intelligent evaluation result of the target mine according to the suitability evaluation result, the acquired image evaluation result and the response evaluation result.
Specifically, in this embodiment, the early warning response information is matched with a mine accident type and an accident grade preset in an actually constructed test scene, and the response evaluation of the target mine is performed in combination with the early warning response information generation time and the test scene generation time span obtained through calculation, so as to generate the response evaluation result reflecting the response accuracy and the response timeliness of the early warning response information.
And generating an intelligent evaluation result of the target mine according to the adaptability evaluation result, the acquired image evaluation result and the response evaluation result, wherein the intelligent evaluation result carries out intelligent degree evaluation from multiple dimensions of the effectiveness of the installation and arrangement position of the image acquisition device, the accuracy of abnormal condition image acquisition and the effectiveness of information verification of the image acquisition device, and the early warning accuracy and instantaneity of mine accidents.
The method provided by the embodiment provides an evaluation benchmark for subsequent image acquisition device layout evaluation by obtaining basic structure data information of a target mine, acquires the layout information of the image acquisition devices in the target mine, performs initial suitability evaluation based on the layout information and the basic structure data information, generates a suitability evaluation result, and performs hardware layout evaluation on the aspect of layout uniformity and redundancy of the image acquisition devices in the target mine; acquiring image data acquired by the image acquisition device, performing image acquisition evaluation based on the acquired image data, generating an acquired image evaluation result, and performing intelligent degree evaluation from the dimension of the image data acquisition capacity of the image acquisition device; constructing a test scene, performing test fitting based on the test scene to obtain early warning response information of the mine response module, performing response evaluation of the target mine based on the early warning response information, and generating a response evaluation result; and generating an intelligent evaluation result of the target mine according to the adaptability evaluation result, the acquired image evaluation result and the response evaluation result, and evaluating the intelligent degree from multiple dimensions of the effectiveness of the installation and arrangement position of the image acquisition device, the accuracy of abnormal condition image acquisition and the effectiveness of information verification of the image acquisition device, the early warning accuracy and instantaneity of mine accidents. The intelligent degree of the mine construction is accurately judged, the intelligent construction of the mine is conveniently optimized, and the use safety of the intelligent mine and the operation reliability of the mine operation are improved.
Further, the method provided by the present application further includes:
s341, acquiring multi-angle coverage response time of p test points based on the test image data to obtain response time acquisition data, wherein the p test points are the test points which can be subjected to multi-angle coverage in the n test points;
s342, carrying out coverage sensitivity identification on the p test points based on the response time acquisition data to obtain a coverage sensitivity identification result;
and S343, correcting the multi-angle coverage evaluation result through the coverage sensitivity identification result, and obtaining the acquired image evaluation result based on the corrected multi-angle coverage evaluation result.
In particular, to improve the range of images that can be acquired by a fixedly arranged image acquisition device in a target mine, in this embodiment, the image acquisition device is preferably an image acquisition device with an angle change function, such as a spherical monitor.
Based on the fact that the image acquisition device has the function of image acquisition angle change, part of scenes in the target mine can be subjected to multi-angle even omnibearing image acquisition by the plurality of image acquisition devices.
The method comprises the steps of obtaining P test points with abnormal conditions in n test points based on test image data, generating a calling instruction based on the positions of the P test points with the abnormal conditions, calling a nearby image acquisition device to rotate, enabling the image acquisition range of the image acquisition devices to cover the P test points from multiple angles, obtaining multi-angle acquisition images of the P test points, forming a multi-angle coverage result, carrying out multi-angle coverage result identification on the P test points, and verifying whether the abnormal conditions originally found by the P test points really exist from multiple angles.
And obtaining a plurality of test image data which complete multi-angle coverage on the P test points in the test image data, obtaining the obtaining time of the plurality of test image data, carrying out time sequence arrangement, calculating and obtaining the response time of completing multi-angle coverage on the P test points according to the time sequence arrangement result of the test image data, and obtaining the response time acquisition data.
Performing coverage sensitivity identification on the p test points based on the response time acquisition data to obtain a coverage sensitivity identification result; and correcting the multi-angle coverage evaluation result according to the coverage sensitivity identification result to obtain p test points marked with multi-angle coverage and multi-angle coverage response time, and obtaining the acquired image evaluation result based on the corrected multi-angle coverage evaluation result.
In the embodiment, the p test points with abnormal conditions in the n test points in the collectable range of the image collecting device are determined to carry out multi-angle coverage image collection, and the time for completing the multi-angle coverage image collection of the p test points is obtained, so that the technical effects of accurately obtaining the image collection response time and the response range for carrying out abnormal condition verification after the abnormal conditions are found in the target mine by the image collecting device are achieved, and a data basis is provided for the follow-up evaluation of the intelligent construction degree of the mine.
Further, the method provided by the present application further includes:
s331, setting m brightness scenes, wherein m is a positive integer larger than 1;
s332, carrying out exception testing on the n test points under the m brightness scenes to obtain scene test images;
s333, evaluating the definition of the test characteristics of the n test points based on the scene test image to obtain a scene definition evaluation result;
and S334, obtaining the evaluation result of the collected image based on the scene definition evaluation result.
In particular, it will be appreciated that the clarity with which the image acquisition device acquires an image is related to the light conditions of the acquisition subject, and that the clarity with which the image is acquired determines whether an abnormal situation in the target mine can be accurately identified. In this embodiment, n test points are randomly set within an area range where the image acquisition device can perform image acquisition in the target mine, and the n test points are target mine sites where abnormal conditions exist.
Setting m brightness scenes in the target mine, wherein the brightness scenes are preferentially set to be the common brightness of the target mine in daily working scenes. The abnormity test is to test the definition of the acquired image of the image acquisition device under different light visibility conditions.
And carrying out image acquisition on the n test points under the m brightness scenes to obtain scene test images, specifically, carrying out anomaly test by evaluating the definition of the test characteristics of the n test points according to the accuracy of identifying and discovering the abnormal conditions of the n test points under different brightness scenes to obtain scene definition evaluation results, and obtaining the acquired image evaluation results based on the scene definition evaluation results.
In the embodiment, after the range of the image acquisition device capable of acquiring the image in the target mine is determined, the test points are distributed in the area range capable of acquiring the image, the accuracy of recognizing and finding the abnormal conditions of the test points under different brightness scenes is obtained, the scene definition is evaluated, the image acquisition definition evaluation of the image acquisition device on the target mine under different brightness scenes is obtained, and the technical effect of accurately evaluating the intelligent degree of the target mine by subsequently combining other acquisition information in the target mine is facilitated.
Further, the method provided by the present application further includes:
s710, acquiring early warning escape identification information of the target mine;
s720, evaluating the identification definition and the flexibility of the early warning escape identification information to generate an identification evaluation result;
and S730, adding the identification evaluation result to the intelligent evaluation result of the target mine.
Specifically, in this embodiment, after the mine response module outputs the early warning information, the corresponding early warning escape identification information is generated based on the early warning information, and the early warning escape identification information includes an escape safety equipment acquisition site identifier, an available escape tool identifier and an escape route identifier, and is used to guide the underground operation personnel to safely and quickly escape, so that the situation that the underground operation personnel is not enough in intelligence management under dangerous conditions is avoided, and the danger is artificially created by adopting an improper escape method.
Evaluating the identification definition and the flexibility of the early warning escape identification information generated corresponding to the early warning information in different test scenes to generate an identification evaluation result; and adding the identification evaluation result to the intelligent evaluation result of the target mine.
The embodiment evaluates the identification definition and the flexibility of various types of early warning escape identification information generated based on the early warning information and introduces the identification evaluation result into the intelligent evaluation result, thereby achieving the technical effects of enriching the intelligent evaluation result and improving the reliability of the evaluation result of the intelligent evaluation of the target mine.
Example two
Based on the same inventive concept as the method for evaluating the intelligent degree of mine construction in the previous embodiment, as shown in fig. 4, the present application provides a system for evaluating the intelligent degree of mine construction, wherein the system comprises:
the structural data acquisition module 11 is used for acquiring basic structural data information of the target mine;
the adaptive evaluation execution module 12 is configured to acquire layout information of the image acquisition devices in the target mine, perform initial adaptive evaluation based on the layout information and the basic structure data information, and generate an adaptive evaluation result;
the collected image evaluation module 13 is configured to obtain collected image data of the image collection device, perform collected image evaluation based on the collected image data, and generate a collected image evaluation result;
the test scene construction module 14 is configured to construct a test scene, perform test fitting based on the test scene, and obtain early warning response information of the mine response module;
the response evaluation execution module 15 is configured to perform response evaluation on the target mine based on the early warning response information, and generate a response evaluation result;
and the evaluation result generation module 16 is configured to generate an intelligent evaluation result of the target mine according to the suitability evaluation result, the acquired image evaluation result and the response evaluation result.
Further, the acquired image evaluation module 13 further includes:
the coverage condition evaluation unit is used for carrying out scene recognition on the acquired image data, carrying out acquisition coverage comprehensiveness evaluation according to a scene recognition result and the basic structure data information and generating coverage comprehensiveness evaluation data;
the test site layout unit is used for setting n position test points in the target mine, wherein n is a positive integer greater than 3;
the abnormal test execution unit is used for performing abnormal test on the n test points and acquiring test image data of the image acquisition device in the abnormal test process;
the coverage evaluation execution unit is used for carrying out multi-angle coverage evaluation on the n test points based on the test image data to generate a multi-angle coverage evaluation result;
and the evaluation result obtaining unit is used for obtaining the acquired image evaluation result through the coverage comprehensiveness evaluation data and the multi-angle coverage evaluation result.
Further, the coverage evaluation execution unit further includes:
a response time acquisition unit, configured to perform multi-angle coverage response time acquisition on p test points based on the test image data to obtain response time acquisition data, where the p test points are test points that can perform multi-angle coverage among the n test points;
the response time identification unit is used for identifying the coverage sensitivity of the p test points based on the response time acquisition data to obtain a coverage sensitivity identification result;
and the coverage evaluation correction unit is used for correcting the multi-angle coverage evaluation result through the coverage sensitivity identification result and obtaining the acquired image evaluation result based on the corrected multi-angle coverage evaluation result.
Further, the exception test execution unit further includes:
a brightness scene setting unit, configured to set m brightness scenes, where m is a positive integer greater than 1;
the test image obtaining unit is used for carrying out abnormal test on the n test points under the m brightness scenes to obtain scene test images;
the definition evaluation unit is used for evaluating the definition of the test characteristics of the n test points on the basis of the scene test image to obtain a scene definition evaluation result;
and the evaluation result application unit is used for obtaining the evaluation result of the acquired image based on the scene definition evaluation result.
Further, the test scenario building module 14 further includes:
the evaluation image acquisition unit is used for acquiring the image of the test scene through the image acquisition device to obtain an evaluation image;
the image characteristic identification unit is used for carrying out image characteristic identification on the evaluation image based on the mine response module and generating early warning information based on a characteristic identification result;
the evaluation parameter obtaining unit is used for obtaining a response accuracy evaluation parameter according to the scene matching degree of the early warning information and the test scene;
and the early warning response generating unit is used for obtaining the early warning response information of the mine response module through the response accuracy evaluation parameter.
Further, the early warning response generating unit further includes:
the early warning time obtaining unit is used for obtaining early warning time information of the early warning information;
the response speed evaluation unit is used for carrying out response speed evaluation on the basis of the early warning time information and the test scene to obtain a response speed evaluation parameter;
and the early warning response obtaining unit is used for obtaining the early warning response information of the mine response module through the response speed evaluation parameter and the response accuracy evaluation parameter.
Further, the system provided by the present application further includes:
the early warning identification obtaining unit is used for obtaining early warning escape identification information of the target mine;
the identification evaluation generation unit is used for evaluating the identification definition and the flexibility of the early warning escape identification information to generate an identification evaluation result;
and the evaluation result optimizing unit is used for adding the identification evaluation result to the intelligent evaluation result of the target mine.
Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memory that are recognized by various non-limiting types of computer processors to implement any of the methods or steps described above.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and shall fall within the scope of the present invention.
Claims (8)
1. The method for evaluating the intelligent degree of mine construction is applied to an intelligent evaluation system, the intelligent evaluation system is in communication connection with a mine response module and an image acquisition device, and the method comprises the following steps:
obtaining basic structure data information of a target mine;
collecting the layout information of the image collecting device in the target mine, and performing initial suitability evaluation based on the layout information and the basic structure data information to generate a suitability evaluation result;
acquiring image data acquired by the image acquisition device, and performing acquired image evaluation based on the acquired image data to generate an acquired image evaluation result;
constructing a test scene, and performing test fitting based on the test scene to obtain early warning response information of the mine response module;
performing response evaluation on the target mine based on the early warning response information to generate a response evaluation result;
and generating an intelligent evaluation result of the target mine according to the adaptability evaluation result, the acquired image evaluation result and the response evaluation result.
2. The method of claim 1, wherein the method further comprises:
carrying out scene recognition on the collected image data, carrying out collection coverage comprehensiveness evaluation according to a scene recognition result and the basic structure data information, and generating coverage comprehensiveness evaluation data;
setting n position test points in the target mine, wherein n is a positive integer greater than 3;
carrying out anomaly testing on the n test points, and obtaining test image data of the image acquisition device in an anomaly testing process;
performing multi-angle coverage evaluation on the n test points based on the test image data to generate a multi-angle coverage evaluation result;
and obtaining the evaluation result of the collected image according to the coverage comprehensiveness evaluation data and the multi-angle coverage evaluation result.
3. The method of claim 2, wherein the method further comprises:
acquiring multi-angle coverage response time of p test points based on the test image data to obtain response time acquisition data, wherein the p test points are the test points which can be subjected to multi-angle coverage in the n test points;
performing coverage sensitivity identification on the p test points based on the response time acquisition data to obtain a coverage sensitivity identification result;
and correcting the multi-angle coverage evaluation result through the coverage sensitivity identification result, and obtaining the acquired image evaluation result based on the corrected multi-angle coverage evaluation result.
4. The method of claim 3, further comprising:
setting m brightness scenes, wherein m is a positive integer greater than 1;
performing an anomaly test on the n test points under the m brightness scenes to obtain scene test images;
performing test feature definition evaluation on the n test points based on the scene test image to obtain a scene definition evaluation result;
and obtaining the acquired image evaluation result based on the scene definition evaluation result.
5. The method of claim 1, wherein the constructing a test scenario and performing a test fit based on the test scenario to obtain early warning response information of the mine response module further comprises:
acquiring an image of the test scene through the image acquisition device to obtain an evaluation image;
performing image feature recognition of the evaluation image based on the mine response module, and generating early warning information based on a feature recognition result;
obtaining a response accuracy evaluation parameter according to the scene matching degree of the early warning information and the test scene;
and obtaining early warning response information of the mine response module through the response accuracy evaluation parameter.
6. The method of claim 5, wherein the method further comprises:
acquiring early warning time information of the early warning information;
performing response speed evaluation based on the early warning time information and the test scene to obtain response speed evaluation parameters;
and obtaining early warning response information of the mine response module according to the response speed evaluation parameter and the response accuracy evaluation parameter.
7. The method of claim 1, wherein the method further comprises:
acquiring early warning escape identification information of the target mine;
evaluating the identification definition and the flexibility of the early warning escape identification information to generate an identification evaluation result;
and adding the identification evaluation result to the intelligent evaluation result of the target mine.
8. An assessment system for the degree of intelligence in mine construction, said system comprising:
the structural data acquisition module is used for acquiring basic structural data information of the target mine;
the adaptation evaluation execution module is used for acquiring the layout information of the image acquisition device in the target mine, performing initial adaptation evaluation based on the layout information and the basic structure data information and generating an adaptation evaluation result;
the collected image evaluation module is used for obtaining collected image data of the image collecting device, carrying out collected image evaluation based on the collected image data and generating a collected image evaluation result;
the test scene construction module is used for constructing a test scene, and performing test fitting based on the test scene to obtain early warning response information of the mine response module;
the response evaluation execution module is used for performing response evaluation on the target mine based on the early warning response information and generating a response evaluation result;
and the evaluation result generation module is used for generating an intelligent evaluation result of the target mine according to the adaptability evaluation result, the acquired image evaluation result and the response evaluation result.
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