CN115077932A - Method and system for comprehensive test of high-mobility rescue equipment - Google Patents
Method and system for comprehensive test of high-mobility rescue equipment Download PDFInfo
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Abstract
The invention provides a method and a system for a comprehensive test of high-mobility rescue equipment, which relate to the technical field of equipment tests, and the method comprises the following steps: acquiring first equipment information of first high-mobility rescue equipment; acquiring application scene information of first high-mobility rescue equipment; acquiring rescue requirement information of first high-altitude maneuvering rescue equipment; selecting and obtaining a plurality of test schemes based on the first equipment information to obtain a first test scheme set; adjusting the first test scheme set based on the application scene information to obtain a second test scheme set; and adjusting the second test scheme set according to the rescue requirement information to obtain a third test scheme set, and performing a comprehensive test. The comprehensive test method solves the technical problems that the comprehensive test scheme of the high-mobility rescue equipment is formulated inaccurately and the performance detection reliability is lower, and achieves the technical effects of formulating the comprehensive test scheme adaptively and improving the performance detection reliability of the comprehensive test.
Description
Technical Field
The invention relates to the technical field of equipment tests, in particular to a comprehensive test method and a comprehensive test system for high-mobility rescue equipment.
Background
The high-mobility rescue equipment is rescue equipment for performing high-mobility rescue in a special environment or a common environment to ensure the safety of lives and properties of people, and is generally formed by modifying an off-road vehicle and assembling equipment and articles required for rescue.
For the performance test of the high-mobility rescue equipment, the performance test needs to be carried out by simulating a comprehensive test field of the motor vehicle so as to ensure the reliability of the design and the manufacture of the high-mobility rescue equipment and further ensure the stability of the high-mobility rescue equipment in the rescue activity.
At present, the comprehensive test of the high-mobility rescue equipment is generally mainly used for detecting the cross-country capability of the high-mobility rescue equipment, a test scheme is generally artificially formulated and is easily influenced by subjective experience, so that the comprehensive test effect is poor, and the technical problems of inaccurate formulation of the comprehensive test scheme and low reliability of performance detection exist.
Disclosure of Invention
The application provides a method and a system for a comprehensive test of high maneuvering rescue equipment, which are used for solving the technical problems of inaccurate test scheme formulation and low performance detection reliability of the comprehensive test of the high maneuvering rescue equipment in the prior art.
In view of the above problems, the present application provides a method and a system for comprehensive testing of high mobility rescue equipment.
In a first aspect of the present application, a method for comprehensive testing of high mobility rescue equipment is provided, the method comprising: acquiring first equipment information of first high-mobility rescue equipment; acquiring application scene information of the first high maneuvering rescue equipment; acquiring and acquiring rescue requirement information of the first high-mobility rescue equipment based on the application scene information; selecting and obtaining a plurality of test schemes based on the first equipment information to obtain a first test scheme set; adjusting the first test scheme set based on the application scene information to obtain a second test scheme set; adjusting the second test scheme set according to the rescue requirement information to obtain a third test scheme set; and carrying out comprehensive test on the first high maneuvering rescue equipment by adopting the third test scheme set.
In a second aspect of the present application, there is provided a system for comprehensive testing of high mobility rescue equipment, the system comprising: the first obtaining unit is used for acquiring and obtaining first equipment information of first high-mobility rescue equipment; the second obtaining unit is used for acquiring and obtaining application scene information of the first high maneuvering rescue equipment; the third obtaining unit is used for collecting and obtaining rescue requirement information of the first high-mobility rescue equipment based on the application scene information; a fourth obtaining unit, configured to select to obtain multiple test solutions based on the first equipment information, so as to obtain a first test solution set; the first processing unit is used for adjusting the first test scheme set based on the application scene information to obtain a second test scheme set; the second processing unit is used for adjusting the second test scheme set according to the rescue requirement information to obtain a third test scheme set; and the first execution unit is used for carrying out comprehensive test on the first high maneuvering rescue equipment by adopting the third test scheme set.
In a third aspect of the present application, a system for comprehensive testing of high mobility rescue equipment is provided, which includes: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method according to the first aspect.
In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method according to the first aspect.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the technical scheme provided by the embodiment of the application, the equipment information of the high-mobility rescue equipment is acquired through collection, the main application scene information of the high-mobility rescue equipment is acquired, the rescue requirement information of the high-mobility rescue equipment during rescue is further acquired according to the main application scene information, a test scheme for carrying out comprehensive tests on the current high-mobility rescue equipment is preliminarily formulated according to the equipment information, then the test scheme is adjusted according to the main application scene information, and further adjustment is carried out according to the rescue requirement information so as to adapt to the test requirements of the current high-mobility rescue equipment, the final test scheme is obtained, and the comprehensive tests are carried out. According to the embodiment of the application, the comprehensive test scheme of the high-mobility rescue equipment is adjusted according to the application scene information, the comprehensive test scheme which is suitable for the application scene of the high-mobility rescue equipment can be obtained, the more accurate comprehensive test result of the high-mobility rescue equipment can be obtained, the design and manufacture level of the high-mobility rescue equipment is improved, the reliability of the high-mobility rescue equipment is improved, the dynamic and adaptive comprehensive test scheme for the high-mobility rescue equipment is formulated, and the technical effect of detecting the reliability of the performance of the high-mobility rescue equipment is improved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a method for a comprehensive test of high mobility rescue equipment provided by the application;
fig. 2 is a schematic flow chart of adjusting to obtain a second test scheme set in the method for comprehensive testing of high mobility rescue equipment provided by the application;
fig. 3 is a schematic flow chart of adjusting to obtain a third test solution set in the method for comprehensive test of high mobility rescue equipment provided by the application;
FIG. 4 is a schematic structural diagram of a system for comprehensive testing of high mobility rescue equipment provided by the application;
fig. 5 is a schematic structural diagram of an exemplary electronic device of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first processing unit 15, a second processing unit 16, a first execution unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The application provides a method and a system for a comprehensive test of high maneuvering rescue equipment, and aims to solve the technical problems that in the prior art, the comprehensive test of the high maneuvering rescue equipment has inaccurate test scheme formulation and low performance detection reliability.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
according to the technical scheme, the equipment information of the high-mobility rescue equipment is acquired, the main application scene information of the high-mobility rescue equipment is acquired, the rescue requirement information of the high-mobility rescue equipment during rescue is further acquired according to the main application scene information, a test scheme which needs to be subjected to a comprehensive test is preliminarily formulated according to the equipment information, then the test scheme is adjusted according to the main application scene information, and further adjustment is performed according to the rescue requirement information to adapt to the test requirement of the current high-mobility rescue equipment, so that a final test scheme is obtained, and the comprehensive test is performed.
Having described the basic principles of the present application, the technical solutions in the present application will be described clearly and completely 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 application, and not all of the embodiments of the present application, and the present application is not limited to the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, the present application provides a method for comprehensive testing of high mobility rescue equipment, the method comprising:
s100: acquiring first equipment information of first high-mobility rescue equipment;
in the embodiment of the application, the first high-mobility rescue equipment is any tire-type driving rescue equipment in the prior art, preferably high-mobility rescue equipment formed by modifying an off-road vehicle and additionally installing rescue equipment, and is used for rescuing in special environments such as accidents of earthquakes, landslides, forests, hills and the like or field sites.
The first equipment information can be acquired through design and production standards and the like of the first high-mobility rescue equipment, and multi-dimensional performance information of the first high-mobility rescue equipment is included in the first equipment information.
The first high-mobility rescue equipment comprises information such as the model of the first high-mobility rescue equipment and various performance information such as speed, grip force, four-wheel drive mode and torque, the first equipment information of the first high-mobility rescue equipment is formed, the applicable scenes of the first high-mobility rescue equipment are different according to different equipment information, and further the comprehensive tests needing to be carried out are different.
For example, for the first high-mobility rescue equipment with strong ground-holding power, a stricter test of a braking anti-lock system is required to be performed to test the driving performance of the first high-mobility rescue equipment under the road condition with a low attachment condition. And for different first high maneuvering rescue equipment with other performances, other different comprehensive tests are required.
S200: acquiring application scene information of the first high-mobility rescue equipment;
in the embodiment of the application, the application scene information of the first high-mobility rescue equipment in the actual use process is acquired, wherein the performance requirements of the first high-mobility rescue equipment are different for different application scenes, and further the comprehensive tests required to be carried out are different.
For first high-mobility rescue equipment of the same type with the same first equipment information, under different application scenes, the importance of various performances is different, for example, under some application scenes, the passing performance of the first high-mobility rescue equipment is important, and under other application scenes, the wading performance of the first high-mobility rescue equipment is important.
Specifically, the application scenario information may be determined according to a scenario frequently applied in a previous history of the first high mobility rescue equipment, for example, the scenario may be determined as a scenario with the highest frequency of use, and the application scenario information is obtained.
S300: acquiring and acquiring rescue requirement information of the first high-mobility rescue equipment based on the application scene information;
in the embodiment of the application, the first high-mobility rescue equipment has different rescue requirements when actual rescue work is carried out under the application scene information. For example, when the life safety of the person is protected during rescue, the life safety quality of the person during rescue needs to be ensured, and when the financial resources are rescued, a certain rescue speed needs to be ensured.
Different rescue requirements are met, different rescue requirement information is met, and different test modes and test requirements are met in the process of comprehensive tests for the different rescue requirement information. The rescue requirement information can be acquired according to the first high-mobility rescue equipment and the experience of the application scene information in the previous rescue activities.
S400: selecting and obtaining a plurality of test schemes based on the first equipment information to obtain a first test scheme set;
in the embodiment of the application, based on the first equipment information, multiple test schemes meeting the first equipment information comprehensive test and a specific test mode of each test scheme are preliminarily selected, and a first test scheme set is obtained.
Illustratively, for the relevant performance of the driving reliability of the first high-mobility rescue equipment in the first equipment information, comprehensive test detection is carried out through an experiment scheme for strengthening bad roads such as stone roads, hollow roads and twisted roads, and for the off-road performance of the first high-mobility rescue equipment in the first equipment information, comprehensive test detection is carried out through an off-road experiment scheme for setting characteristic road sections such as hillsides, wildlands, sandy soil and mud pits. Thus, a plurality of test protocols are combined to obtain a first set of test protocols.
S500: adjusting the first test scheme set based on the application scene information to obtain a second test scheme set;
specifically, the first test scheme set is only a comprehensive test scheme preliminarily formulated based on first equipment information of the first high-mobility rescue equipment, and in the adaptive application process of the first high-mobility rescue equipment, the application scene information is a scene in which the first high-mobility rescue equipment is mainly and frequently applied, so that the performance requirements of the comprehensive test of the first high-mobility rescue equipment under the application scene information need to be met.
According to the application scenario information, the first test scheme set is adjusted, specifically, different application scenario information has different performance requirements for the first high-mobility rescue equipment, and according to specific performance requirements in the application scenario information, the test schemes in the first test scheme set are adjusted, added or deleted.
Exemplarily, if the application scenario information includes a wading environment and the requirement on the wading performance of the first high-mobility rescue equipment is high, the wading performance test schemes in the first test scheme set need to be adjusted according to the application scenario information, for example, the test intensity is improved, and the second test scheme set is obtained.
S600: adjusting the second test scheme set according to the rescue requirement information to obtain a third test scheme set;
s700: and carrying out comprehensive test on the first high maneuvering rescue equipment by adopting the third test scheme set.
Specifically, after the second test scheme set is obtained through preliminary adjustment, the second test scheme set is further adjusted according to the performance requirement of the first high-mobility rescue equipment in the rescue requirement information, and a third test scheme set is obtained.
The comprehensive test is carried out on the first high-mobility rescue equipment based on the third test scheme set obtained through final adjustment, the comprehensive test of pertinence and adaptability can be carried out based on the application scene and the rescue requirements, a more strict comprehensive test is carried out on more important performance, the effect is better, the reliability of the first high-mobility rescue equipment is higher, the comprehensive test meeting the general standard is carried out on unimportant performance, and the test cost is reduced.
According to the embodiment of the application, the comprehensive test scheme of the high-mobility rescue equipment is adjusted according to the application scene information, the comprehensive test scheme which is suitable for the application scene of the high-mobility rescue equipment can be obtained, the more accurate comprehensive test result of the high-mobility rescue equipment can be obtained, the design and manufacture level of the high-mobility rescue equipment is improved, the reliability of the high-mobility rescue equipment is improved, the dynamic and adaptive comprehensive test scheme for the high-mobility rescue equipment is formulated, and the technical effect of detecting the reliability of the performance of the high-mobility rescue equipment is improved.
Step S200 in the method provided in the embodiment of the present application includes:
s210: obtaining a preset time period;
s220: acquiring application scene information of the first high-mobility rescue equipment in a plurality of preset time periods within historical time to obtain a plurality of historical application scene information;
s230: and determining to obtain the application scene information according to a plurality of historical application scene information.
Wherein, step S230 includes:
s231: extracting and obtaining historical multi-dimensional scene parameters in a plurality of pieces of historical application scene information;
s232: performing clustering analysis on a plurality of historical multidimensional scene parameters to obtain a plurality of first clustering results;
s233: acquiring the data quantity of the historical multidimensional scene parameters in a plurality of first clustering results to obtain a plurality of quantity information;
s234: obtaining the largest quantity information, and obtaining a corresponding first clustering result as a second clustering result;
s235: and taking the historical multi-dimensional scene parameters in the second clustering result as the application scene information.
Specifically, the setting obtains a preset time period, which may be a time period of any time length.
The method comprises the steps of acquiring and obtaining application scene information of a first high-mobility rescue device in a plurality of preset time periods in historical time, and acquiring a plurality of pieces of historical application scene information, wherein each piece of historical application scene information corresponds to a plurality of application scenes of the first high-mobility rescue device in a preset time period, and can also acquire and obtain a plurality of pieces of application scene information of a plurality of same first high-mobility rescue devices in a preset time period.
And determining to obtain the application scene most frequently applied by the current first high-mobility rescue equipment as the application scene information based on the plurality of historical application scene information.
Specifically, based on a plurality of pieces of acquired historical application scene information, environmental parameters in the application scene information are extracted, and a plurality of historical multidimensional scene parameters are acquired. The environmental parameters in the historical application scene information include information such as an environment type and an environment severity in the application scene, for example, the historical application scene information includes environments such as a slope and a waterway, and the environmental parameters include parameters such as a length and an angle of the slope and a depth and a length of the waterway.
And carrying out clustering analysis on a plurality of historical multidimensional scene parameters to obtain a plurality of clustering results. For example, the process of cluster analysis may adopt any cluster analysis algorithm in the prior art, such as a hierarchical clustering method, or may perform cluster analysis according to the gap size between multiple pieces of historical multidimensional scene parameter data to obtain multiple first cluster results.
And each first clustering result comprises different quantities of historical multidimensional scene parameters, and the data quantity of the historical multidimensional scene parameters in each first clustering result is acquired to obtain a plurality of quantity information.
And taking a first clustering result corresponding to the largest quantity information in the plurality of quantity information as a second clustering result, wherein the second clustering result contains the largest quantity of historical multidimensional scene parameters, and corresponding to the largest quantity of similar historical application scene information, namely the most common application scene information of the first high-mobility rescue equipment. And taking the historical multi-dimensional scene parameters in the second clustering result as the multi-dimensional scene parameters of the current application scene information to obtain the application scene information.
According to the embodiment of the application, the preset time period is set, the historical application scene information of the first high-mobility rescue equipment is collected, the multidimensional scene parameters are extracted and obtained, the clustering analysis is performed, the most common application scene information of the first high-mobility rescue equipment can be obtained, then the comprehensive test scheme can be formulated and adjusted according to the application scene, and the comprehensive test effect is improved.
Step S300 in the method provided in the embodiment of the present application includes:
s310: acquiring and acquiring rescue efficiency requirement information of the first high-mobility rescue equipment based on the application scene information;
s320: acquiring and acquiring rescue quality requirement information of the first high-mobility rescue equipment based on the application scene information;
s330: and taking the rescue efficiency requirement information and the rescue quality requirement information as the rescue requirement information.
In the embodiment of the application, the rescue requirement information comprises rescue efficiency requirement information and rescue quality requirement information, and can be set and obtained according to the historical rescue experience of the first high-mobility rescue equipment.
According to the historical rescue experience in the application scene information, the rescue efficiency requirement information and the rescue quality requirement information of the current first high-mobility rescue equipment for carrying out the comprehensive test are acquired and obtained.
And taking the rescue efficiency requirement information and the rescue quality requirement information as the rescue requirement information. According to the embodiment of the application, the rescue efficiency requirement information and the rescue quality requirement information are acquired, the rescue requirement information is obtained, the comprehensive test scheme can be adjusted according to the rescue requirements, then the comprehensive test of adaptability is carried out, and the accuracy and the effect of the comprehensive test are improved.
As shown in fig. 2, step S500 in the method provided in the embodiment of the present application includes:
s510: acquiring test intensity information of a plurality of test schemes based on the first test scheme set;
s520: based on the application scene information, carrying out weight distribution according to the importance degrees of the plurality of test schemes to obtain a first weight distribution result;
s530: and performing weighting adjustment on the plurality of test intensity information by adopting the first weight distribution result to obtain the second test scheme set.
Specifically, the first test scheme set determined and obtained according to the first equipment information includes a plurality of test schemes for performing experimental detection on a plurality of performances, each test scheme has corresponding test strength, and for example, a ramp experiment includes test strength information such as the length and the angle of a ramp.
Based on the application scene information, weight distribution is carried out according to the importance degrees of various test schemes in the application scene information, and the higher the importance degree of the test scheme is, the higher the weight value is. The process of weight distribution can adopt any weight distribution method in the prior art for weight distribution, and exemplarily, a weight distribution method such as an AHP hierarchy analysis method or an expert weighting method can be adopted.
The test intensity information of various test schemes in the first test scheme set is weighted and adjusted by adopting the first weight distribution result, specifically, for the test scheme with the larger weight value, the corresponding test intensity information is promoted, for the test scheme with the smaller weight value, the corresponding test intensity information is reduced, the adjustment amplitude can be set according to the specific size of the weight value and the actual test scheme, the weighting adjustment of the test intensity information of the plurality of test schemes is completed, and the second test scheme set is obtained.
According to the embodiment of the application, based on the application scene information, the multiple test schemes in the first test scheme set are subjected to weight distribution according to the importance of the multiple test schemes in the application scene information, and the test intensity information of each test scheme is subjected to weighted adjustment according to the weight distribution result, so that more strict tests can be performed on the important test schemes, and more accurate test results can be obtained.
As shown in fig. 3, step S600 in the method provided in the embodiment of the present application includes:
s610: constructing and obtaining a rescue equipment test scheme analysis model;
s620: inputting the second test scheme set and the rescue requirement information into the rescue equipment test scheme analysis model to obtain an output result;
s630: and obtaining the third test scheme set according to the output result.
Wherein, step S610 includes:
s611: constructing a rescue equipment test scheme analysis model based on an artificial neural network model;
s612: acquiring a previous historical second test scheme set and a historical rescue requirement information set of the first high maneuvering rescue equipment;
s613: dividing and identifying the historical second test scheme set and the historical rescue requirement information set to obtain a training sample, a verification sample and a test sample;
s614: carrying out supervision training on the rescue equipment test scheme analysis model by adopting the training sample until the output result of the rescue equipment test scheme analysis model is converged or reaches a preset accuracy rate;
s615: and verifying and testing the rescue equipment test scheme analysis model by adopting the verification sample and the test sample, and if the accuracy of the rescue equipment test scheme analysis model meets the preset requirement, obtaining the rescue equipment test scheme analysis model.
Specifically, the rescue equipment test scheme analysis model is constructed based on an artificial neural network in machine learning. The input parameters of the rescue equipment test scheme analysis model are the second test scheme set and rescue requirement information, and the output parameters are the adjusted third test scheme set. In the construction process, the number of processing units and the network structure are set based on the dimensions of the input parameters and the output parameters. The processing unit is similar to neurons of human brain, parameters such as weight values and threshold values connected with a plurality of processing units can be formed in supervision training, a network model formed by training can perform complex nonlinear logic operation according to input parameters, output parameters are obtained through prediction, and accuracy is high.
Further, a historical second test scheme set and a historical rescue requirement information set before the first high-mobility rescue equipment are acquired and obtained, optionally, adjustment can be performed according to the historical first test scheme set and the historical application scene information, and a historical second test scheme set is obtained. And acquiring a historical third experimental scheme set obtained after the historical second experimental scheme set is adjusted according to the historical rescue requirement information, wherein the historical third experimental scheme set is used as construction sample data of output parameters, and the historical third experimental scheme set can be specifically obtained by manually adjusting according to comprehensive experimental experience and storing.
And dividing and identifying the historical second test scheme set, the historical rescue requirement information set and the third test scheme set to obtain a training sample, a verification sample and a test sample, wherein the division process can be performed according to the ratio of 6:2: 2.
The training sample is adopted to carry out supervision training on the rescue equipment test scheme analysis model, illustratively, supervision training is carried out based on gradient descent until the output result of the rescue equipment test scheme analysis model is converged or reaches a preset accuracy rate. The rescue equipment test scheme analysis model is verified and tested by adopting the verification sample and the test sample, the generalization performance and the accuracy of the model are verified, the problem of poor overfitting or training effect is avoided, if the accuracy of the rescue equipment test scheme analysis model meets the preset requirement in the verification and the test, the rescue equipment test scheme analysis model is obtained for use, and if the accuracy does not meet the preset requirement, the parameters of the model need to be adjusted, or the training model is reconstructed.
And inputting the second test scheme set and the rescue requirement information into the rescue equipment test scheme analysis model based on the trained rescue equipment test scheme analysis model to obtain an output result, wherein the output result comprises identification information of the third test scheme set obtained by adjustment, and further obtains the corresponding adjusted third test scheme set.
In summary, the embodiment of the present application has at least the following technical effects:
according to the embodiment of the application, the comprehensive test scheme required to be carried out is preliminarily formulated according to the equipment information of the high-mobility rescue equipment, then the comprehensive test scheme of the high-mobility rescue equipment is collected and adjusted based on the application scene information, the comprehensive test scheme which is relatively suitable for the application scene of the high-mobility rescue equipment can be obtained, the comprehensive test scheme is further adjusted according to rescue requirement information, the accuracy of the adjustment process is high, the more accurate comprehensive test result of the high-mobility rescue equipment can be obtained, the design and manufacturing level of the high-mobility rescue equipment is improved, the reliability of the high-mobility rescue equipment is improved, the dynamic and adaptive formulation of the comprehensive test scheme of the high-mobility rescue equipment is achieved, and the technical effect of detecting the reliability of the performance of the high-mobility rescue equipment is improved.
Example two
Based on the same inventive concept as the method for comprehensive test of high mobility rescue equipment in the previous embodiment, as shown in fig. 4, the present application provides a system for comprehensive test of high mobility rescue equipment, wherein the system comprises:
the first obtaining unit 11 is used for acquiring first equipment information of first high-mobility rescue equipment;
the second obtaining unit 12 is configured to acquire application scene information of the first high-mobility rescue equipment;
a third obtaining unit 13, configured to acquire and obtain rescue requirement information of the first high mobility rescue equipment based on the application scenario information;
a fourth obtaining unit 14, configured to select to obtain multiple test solutions based on the first equipment information, so as to obtain a first test solution set;
the first processing unit 15 is configured to adjust the first test scheme set based on the application scenario information to obtain a second test scheme set;
the second processing unit 16 is configured to adjust the second test scheme set according to the rescue requirement information to obtain a third test scheme set;
a first executing unit 17, configured to perform comprehensive tests on the first high mobility rescue equipment by using the third set of test solutions.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a preset time period;
the sixth obtaining unit is used for acquiring and obtaining application scene information of the first high-mobility rescue equipment in a plurality of preset time periods within historical time to obtain a plurality of historical application scene information;
and the third processing unit is used for determining and obtaining the application scene information according to a plurality of historical application scene information.
Further, the system further comprises:
the fourth processing unit is used for extracting and acquiring historical multi-dimensional scene parameters in the historical application scene information;
the fifth processing unit is used for carrying out clustering analysis on the plurality of historical multidimensional scene parameters to obtain a plurality of first clustering results;
a seventh obtaining unit, configured to acquire and obtain data quantity of the historical multidimensional scene parameter in the plurality of first clustering results, and obtain a plurality of quantity information;
an eighth obtaining unit, configured to obtain a largest one of the quantity information, and obtain a corresponding first clustering result as a second clustering result;
and the sixth processing unit is used for taking the historical multi-dimensional scene parameters in the second clustering result as the application scene information.
Further, the system further comprises:
a ninth obtaining unit, configured to collect and obtain rescue efficiency requirement information of the first high mobility rescue equipment based on the application scenario information;
a tenth obtaining unit, configured to acquire and obtain rescue quality requirement information of the first high mobility rescue equipment based on the application scenario information;
a seventh processing unit, configured to use the rescue efficiency requirement information and the rescue quality requirement information as the rescue requirement information.
Further, the system further comprises:
an eleventh obtaining unit, configured to obtain test intensity information of multiple test schemes based on the first test scheme set;
the eighth processing unit is used for performing weight distribution according to the importance degrees of the plurality of test schemes based on the application scene information to obtain a first weight distribution result;
and the ninth processing unit is configured to perform weighting adjustment on the plurality of pieces of test intensity information by using the first weight distribution result, so as to obtain the second test scheme set.
Further, the system further comprises:
the first construction unit is used for constructing and obtaining a rescue equipment test scheme analysis model;
a twelfth obtaining unit, configured to input the second test scheme set and the rescue requirement information into the rescue equipment test scheme analysis model, and obtain an output result;
a thirteenth obtaining unit, configured to obtain the third set of test solutions according to the output result.
Further, the system further comprises:
the second construction unit is used for constructing the rescue equipment test scheme analysis model based on an artificial neural network model;
a fourteenth obtaining unit, configured to collect and obtain a previous historical second test scheme set and a historical rescue requirement information set of the first high mobility rescue equipment;
the tenth processing unit is used for dividing and identifying the historical second test scheme set and the historical rescue requirement information set to obtain a training sample, a verification sample and a test sample;
the eleventh processing unit is used for performing supervision training on the rescue equipment test scheme analysis model by using the training sample until the output result of the rescue equipment test scheme analysis model converges or reaches a preset accuracy rate;
and the twelfth processing unit is used for verifying and testing the rescue equipment test scheme analysis model by adopting the verification sample and the test sample, and if the accuracy of the rescue equipment test scheme analysis model meets the preset requirement, obtaining the rescue equipment test scheme analysis model.
EXAMPLE III
Based on the same inventive concept as the method for comprehensive testing of high mobility rescue equipment in the previous embodiment, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program, when executed by a processor, implements the method as in the first embodiment.
Exemplary electronic device
The electronic device of the present application is described below with reference to fig. 5.
Based on the same inventive concept as the method for the comprehensive test of the high-mobility rescue equipment in the previous embodiment, the application also provides an electronic device, which comprises: a processor coupled to a memory, the memory storing a program that, when executed by the processor, causes an electronic device to perform the steps of the method of embodiment one.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.
The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact-read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. Processor 302 is configured to execute computer-executable instructions stored in memory 301, thereby implementing a method for comprehensive testing of high mobility rescue equipment according to the above-described embodiments of the present application.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are for convenience of description and are not intended to limit the scope of this application nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the present application are generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated through the design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in this application may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (10)
1. A method for comprehensively testing high maneuvering rescue equipment is characterized by comprising the following steps:
acquiring first equipment information of first high-mobility rescue equipment;
acquiring application scene information of the first high-mobility rescue equipment;
acquiring and obtaining rescue requirement information of the first high maneuvering rescue equipment based on the application scene information;
selecting and obtaining a plurality of test schemes based on the first equipment information to obtain a first test scheme set;
adjusting the first test scheme set based on the application scene information to obtain a second test scheme set;
adjusting the second test scheme set according to the rescue requirement information to obtain a third test scheme set;
and carrying out comprehensive test on the first high maneuvering rescue equipment by adopting the third test scheme set.
2. The method as claimed in claim 1, wherein the acquiring obtains application scenario information of the first high maneuver rescue equipment, including:
obtaining a preset time period;
acquiring application scene information of the first high-mobility rescue equipment in a plurality of preset time periods within historical time to obtain a plurality of historical application scene information;
and determining to obtain the application scene information according to a plurality of historical application scene information.
3. The method of claim 2, wherein determining to obtain the application context information according to a plurality of historical application context information comprises:
extracting and obtaining historical multi-dimensional scene parameters in a plurality of pieces of historical application scene information;
performing clustering analysis on a plurality of historical multidimensional scene parameters to obtain a plurality of first clustering results;
acquiring the data quantity of the historical multidimensional scene parameters in a plurality of first clustering results to obtain a plurality of quantity information;
obtaining the largest quantity information, and obtaining a corresponding first clustering result as a second clustering result;
and taking the historical multi-dimensional scene parameters in the second clustering result as the application scene information.
4. The method of claim 1, wherein the collecting and obtaining rescue requirement information for the first high mobility rescue equipment comprises:
acquiring and acquiring rescue efficiency requirement information of the first high-mobility rescue equipment based on the application scene information;
acquiring and acquiring rescue quality requirement information of the first high-mobility rescue equipment based on the application scene information;
and taking the rescue efficiency requirement information and the rescue quality requirement information as the rescue requirement information.
5. The method of claim 1, wherein the adjusting the first set of protocols to obtain a second set of protocols comprises:
acquiring test intensity information of a plurality of test schemes based on the first test scheme set;
based on the application scene information, carrying out weight distribution according to the importance degrees of the plurality of test schemes to obtain a first weight distribution result;
and performing weighting adjustment on the plurality of test intensity information by adopting the first weight distribution result to obtain the second test scheme set.
6. The method of claim 1, wherein the adjusting the second set of protocols to obtain a third set of protocols comprises:
constructing and obtaining a rescue equipment test scheme analysis model;
inputting the second test scheme set and the rescue requirement information into the rescue equipment test scheme analysis model to obtain an output result;
and obtaining the third test scheme set according to the output result.
7. The method as claimed in claim 6, wherein the constructing and obtaining a rescue equipment test plan analysis model comprises:
constructing a rescue equipment test scheme analysis model based on an artificial neural network model;
acquiring a historical second test scheme set and a historical rescue requirement information set of the first high-mobility rescue equipment;
dividing and identifying the historical second test scheme set and the historical rescue requirement information set to obtain a training sample, a verification sample and a test sample;
carrying out supervision training on the rescue equipment test scheme analysis model by adopting the training sample until the output result of the rescue equipment test scheme analysis model is converged or reaches a preset accuracy rate;
and verifying and testing the rescue equipment test scheme analysis model by adopting the verification sample and the test sample, and if the accuracy of the rescue equipment test scheme analysis model meets the preset requirement, obtaining the rescue equipment test scheme analysis model.
8. A system for comprehensive testing of high mobility rescue equipment, the system comprising:
the first obtaining unit is used for acquiring and obtaining first equipment information of first high-mobility rescue equipment;
the second obtaining unit is used for acquiring and obtaining application scene information of the first high-mobility rescue equipment;
the third obtaining unit is used for collecting and obtaining rescue requirement information of the first high-mobility rescue equipment based on the application scene information;
a fourth obtaining unit, configured to select to obtain multiple test solutions based on the first equipment information, so as to obtain a first test solution set;
the first processing unit is used for adjusting the first test scheme set based on the application scene information to obtain a second test scheme set;
the second processing unit is used for adjusting the second test scheme set according to the rescue requirement information to obtain a third test scheme set;
and the first execution unit is used for carrying out comprehensive test on the first high maneuvering rescue equipment by adopting the third test scheme set.
9. A system for comprehensively testing high-mobility rescue equipment is characterized by comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN202210631225.1A CN115077932A (en) | 2022-06-06 | 2022-06-06 | Method and system for comprehensive test of high-mobility rescue equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116774715A (en) * | 2023-05-31 | 2023-09-19 | 新兴际华(北京)智能装备技术研究院有限公司 | Underwater vehicle attitude control method and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116774715A (en) * | 2023-05-31 | 2023-09-19 | 新兴际华(北京)智能装备技术研究院有限公司 | Underwater vehicle attitude control method and device |
| CN116774715B (en) * | 2023-05-31 | 2024-06-07 | 新兴际华(北京)智能装备技术研究院有限公司 | Underwater vehicle attitude control method and device |
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