CN108318261B

CN108318261B - Vehicle structure monitoring method and device

Info

Publication number: CN108318261B
Application number: CN201810015857.9A
Authority: CN
Inventors: 杜明; 马龙; 鞠增业; 王宗正
Original assignee: CRRC Qingdao Sifang Co Ltd
Current assignee: CRRC Qingdao Sifang Co Ltd
Priority date: 2018-01-08
Filing date: 2018-01-08
Publication date: 2020-08-11
Anticipated expiration: 2038-01-08
Also published as: CN108318261A

Abstract

The invention discloses a method and a device for monitoring a vehicle structure. Wherein, the method comprises the following steps: acquiring preset test parameters; determining intelligent layer design parameters of an intelligent layer corresponding to a preset vehicle according to preset test parameters, wherein the intelligent layer indicates structural information of the preset vehicle; establishing an intelligent layer corresponding to a preset vehicle by using intelligent layer design parameters; and according to the intelligent layer, carrying out structural monitoring on the preset vehicle to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle. The invention solves the technical problem that the structure of the vehicle cannot be monitored in the related art.

Description

Vehicle structure monitoring method and device

Technical Field

The invention relates to the field of train structure monitoring, in particular to a method and a device for monitoring a vehicle structure.

Background

In the related art, when a vehicle (such as a rail train) is monitored, the running state of the train is often monitored through the arranged sensors (such as a speed sensor and an angle sensor), but the monitoring on the structure of the vehicle and the overall performance of the vehicle is lacked, so that the performance of the vehicle and the structure of the vehicle cannot be effectively detected, thus, before an accident occurs to the vehicle or the vehicle is abnormal, the state information of the vehicle is difficult to obtain, the accident cannot be prevented in advance, and only after the accident occurs or the accident occurs, the structure and the performance of the vehicle can be checked to be abnormal, so that the great loss of life and property is caused. In addition, in the related art, the intelligent layer is an insulating film integrated with a distributed driving/sensing network, can be fused with key parts of a train, senses and predicts a series of states of deformation, defects, damage, corrosion, failure and the like of the train structure, and is one of technologies capable of potentially carrying out real-time online monitoring on the key parts of the rail vehicle. In addition, at present, the technology is not applied in the field of rail transit, so the integrated development of the structural health monitoring system and the development of the vehicle-mounted system also need to be carried out again. Based on the above characteristics of the intelligent layer technology, when monitoring key parts of rail transit vehicles, technical development procedures need to be standardized to ensure the successful loading application of the technology,

in view of the above technical problem in the related art that the structure of the vehicle cannot be monitored, no effective solution has been proposed at present.

Disclosure of Invention

The embodiment of the invention provides a method and a device for monitoring a vehicle structure, which at least solve the technical problem that the vehicle structure cannot be monitored in the related technology.

According to an aspect of an embodiment of the present invention, there is provided a monitoring method of a vehicle structure, including: acquiring preset test parameters; determining intelligent layer design parameters of an intelligent layer corresponding to a preset vehicle according to the preset test parameters, wherein the intelligent layer indicates the structural information of the preset vehicle; establishing an intelligent layer corresponding to the preset vehicle by using the intelligent layer design parameters; and carrying out structural monitoring on the preset vehicle according to the intelligent layer to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle.

Further, the acquiring of the preset test parameter includes: acquiring preset monitoring information, wherein the preset monitoring information is used for monitoring the structure of a preset vehicle; determining a target monitoring area according to the preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; and acquiring preset test parameters corresponding to the target area.

Further, the acquiring of the preset monitoring information includes: acquiring historical test data and simulation data; and analyzing the historical test data and the simulation data to obtain preset monitoring information corresponding to the preset vehicle.

Further, prior to determining the smart inlay design parameters from the preset test parameters, the method comprises: acquiring test parameters and test data for monitoring the structure of the preset vehicle according to the preset test parameters, wherein the test data and the test parameters are used for indicating and determining the intelligent layer design parameters to obtain the intelligent layer, and the test data at least comprises: wave propagation distance parameters, excitation frequency and calibration curve.

Further, determining the smart inlay design parameters according to the preset test parameters comprises: determining layout design parameters of a preset sensor according to the preset test data; determining test verification parameters of the preset sensor according to the layout design parameters; determining damage probability corresponding to the layout of the preset sensor according to the test verification parameters; determining design drawing parameters of the intelligent layer according to the damage probability and the layout design parameters; and taking the design drawing parameters of the intelligent layer as the design parameters of the intelligent layer.

Further, establishing the smart tier corresponding to the preset vehicle using the smart tier design parameters includes: and establishing the intelligent layer by using the design drawing parameters of the intelligent layer.

Further, before performing structural monitoring on the preset vehicle according to the intelligent layer to obtain a vehicle monitoring result, the method includes: acquiring a test outline for performing a structural test on the preset vehicle, wherein the test outline is used for indicating the sequence of performing the structural test on the preset vehicle; according to the test outline, carrying out fatigue test on the preset vehicle to obtain a fatigue test result, wherein the fatigue test result indicates the damage degree of the intelligent layer; and carrying out an environmental test on the preset vehicle according to the test outline to obtain an environmental test result, wherein the environmental test result is used for indicating the operation parameters of the preset vehicle in a preset operation environment.

Further, after obtaining the fatigue test result and the environmental test result, the method further includes: determining that the smart inlay meets a first target requirement if the fatigue test results meet a first desired target and if the environmental test results meet a second desired target.

Further, according to the intelligent layer, performing structural monitoring on the preset vehicle, and obtaining a vehicle monitoring result includes: according to the intelligent layer, performing a first line test and a second line test on the preset vehicle to obtain a line test result, wherein the first line test is used for testing the line test that the running speed of the preset vehicle is lower than a preset threshold value, and the second line test is used for testing the line test that the running speed of the preset vehicle is higher than the preset threshold value; determining that a preset vehicle monitoring system reaches a third expected target according to the line test result, wherein the preset vehicle monitoring system is used for indicating to monitor the state of the preset vehicle; determining that the preset vehicle monitoring system meets a second target requirement when the preset vehicle monitoring system meets a third expected target.

According to another aspect of the embodiments of the present invention, there is also provided a monitoring device of a vehicle structure, including: the first acquisition unit is used for acquiring preset test parameters; a determining unit, configured to determine, according to the preset test parameter, an intelligent layer design parameter of an intelligent layer corresponding to a preset vehicle, where the intelligent layer indicates structural information of the preset vehicle; the establishing unit is used for establishing an intelligent layer corresponding to the preset vehicle by utilizing the intelligent layer design parameters; and the monitoring unit is used for carrying out structural monitoring on the preset vehicle according to the intelligent layer to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle.

Further, the first acquisition unit includes: the system comprises a first acquisition module, a second acquisition module and a monitoring module, wherein the first acquisition module is used for acquiring preset monitoring information, and the preset monitoring information is used for monitoring the structure of a preset vehicle; the first determining module is used for determining a target monitoring area according to the preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; and the second acquisition module is used for acquiring preset test parameters corresponding to the target area.

Further, the first obtaining module comprises: the acquisition submodule is used for acquiring historical test data and simulation data; and the analysis submodule is used for analyzing the historical test data and the simulation data to obtain preset monitoring information corresponding to the preset vehicle.

Further, the apparatus comprises: a second obtaining unit, configured to obtain, before determining the smart floor design parameter according to the preset test parameter, a test parameter and test data for monitoring a structure of the preset vehicle according to the preset test parameter, where the test data and the test parameter are used to instruct determining the smart floor design parameter to obtain the smart floor, and the test data at least includes: wave propagation distance parameters, excitation frequency and calibration curve.

Further, the determining unit includes: the second determining module is used for determining layout design parameters of a preset sensor according to the preset test data; the third determining module is used for determining the test verification parameters of the preset sensor according to the layout design parameters; the fourth determining module is used for determining the damage probability corresponding to the layout of the preset sensor according to the test verification parameters; a fifth determining module, configured to determine design drawing parameters of the smart inlay according to the damage probability and the layout design parameters; and the sixth determining module is used for taking the design drawing parameters of the intelligent layer as the design parameters of the intelligent layer.

Further, the establishing unit includes: and the establishing submodule is used for establishing the intelligent layer by utilizing the design drawing parameters of the intelligent layer.

Further, the apparatus further comprises: a third obtaining unit, configured to obtain a test outline for performing a structural test on the preset vehicle before performing the structural monitoring on the preset vehicle according to the intelligent layer to obtain a vehicle monitoring result, where the test outline is used to indicate a sequence of performing the structural test on the preset vehicle; the first testing unit is used for carrying out fatigue testing on the preset vehicle according to the test outline to obtain a fatigue testing result, wherein the fatigue testing result indicates the damage degree of the intelligent layer; and the second testing unit is used for carrying out an environment test on the preset vehicle according to the test outline to obtain an environment test result, wherein the environment test result is used for indicating the running parameters of the preset vehicle in a preset running environment.

Further, the apparatus further comprises: and the seventh determining submodule is used for determining that the intelligent layer meets the first target requirement under the condition that the fatigue test result reaches the first expected target and the environment test result reaches the second expected target after the fatigue test result and the environment test result are obtained.

Further, the monitoring unit includes: the test module is used for carrying out a first line test and a second line test on the preset vehicle according to the intelligent layer to obtain a line test result, wherein the first line test is used for testing the line test that the running speed of the preset vehicle is lower than a preset threshold value, and the second line test is used for testing the line test that the running speed of the preset vehicle is higher than the preset threshold value; the eighth determining module is used for determining that a preset vehicle monitoring system reaches a third expected target according to the line test result, wherein the preset vehicle monitoring system is used for indicating to monitor the state of the preset vehicle; a ninth determination module to determine that the preset vehicle monitoring system meets the second target requirement if the preset vehicle monitoring system meets a third expected target.

According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the monitoring method for a vehicle structure according to any one of the above.

According to another aspect of the embodiment of the present invention, there is also provided a processor for running a program, wherein the program is run to execute the monitoring method for the vehicle structure according to any one of the above.

According to the invention, the preset test parameters of the preset vehicle can be obtained firstly, the intelligent layer design parameters of the intelligent layer corresponding to the preset vehicle are determined according to the preset test parameters, the intelligent layer design parameters are established on the intelligent layer corresponding to the preset vehicle, and finally, the structure of the preset vehicle can be monitored according to the designed intelligent layer, so that the vehicle monitoring result indicating the structural state of the preset vehicle is obtained. In the invention, the intelligent layer can be established by using the test parameters, so that the structural state of the preset vehicle can be monitored by using the intelligent layer, that is, the structural state of the vehicle can be effectively monitored, the monitoring result is digitalized, a user can check the current state of the vehicle according to the vehicle monitoring result, and the structure of the vehicle can be timely adjusted when the vehicle monitoring result is abnormal, so that the efficiency of monitoring the structural state of the vehicle by the user can be improved, and the technical problem that the structure of the vehicle cannot be monitored in the related technology is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

FIG. 1 is a flow chart of a method of monitoring a vehicle structure according to an embodiment of the invention;

FIG. 2 is a schematic illustration of a development flow of a monitoring system for a vehicle structure according to an embodiment of the invention;

FIG. 3 is a schematic diagram of a smart inlay structure according to an embodiment of the present invention;

fig. 4 is a schematic diagram of a monitoring device of a vehicle structure according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In order to facilitate the user's understanding of the present invention, some terms or expressions appearing in the embodiments of the present invention will be described in detail below.

Intelligent material: the functional material is a novel functional material which can sense external stimulation, can be judged and properly processed and can be executed.

The intelligent layer is a monitoring unit integrated with a distributed driving and/or sensing network, and the structural state information is acquired through the intelligent layer so as to judge the structural health integrity of the vehicle.

In accordance with an embodiment of the present invention, there is provided an embodiment of a method of monitoring a vehicle structure, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.

With the continuous and rapid development of technologies such as intelligent materials, signal processing, data analysis and the like, a structural health monitoring technology capable of acquiring relevant structural state information on line, detecting and identifying abnormalities is attracting wide attention. The technology attaches a sensor network to the surface or inside of a structure and integrates the sensor network with the structure, and by collecting a structure response signal, characteristic information is extracted to analyze and judge the integrity or the running state of the structure. In the following embodiments of the present invention, the structural health monitoring technology can be applied to the field of rail transit, which has the following advantages. Firstly, the structural health monitoring system can judge the damage of different properties and degrees, provides basis for formulating modification schemes and preventing structural performance degradation, failure and the like, and has important significance for ensuring structural safety and greatly reducing structural maintenance cost; secondly, only the use of loads, not the limit loads, may be considered in the design phase; thus, the safety factor of design can be reduced, the weight of the structure is reduced, and the mechanical properties of materials and the structure are fully utilized and exerted; moreover, the manual participation degree is reduced, the intellectualization of the maintenance process is improved, and the change of the maintenance mode from periodic maintenance to state maintenance is promoted. The following embodiments of the present invention can be combined with structural health monitoring technology to effectively monitor the structural state of the vehicle.

The following embodiments can be applied to various vehicle structure monitoring applications and environments, and particularly can be applied to rail transit vehicle monitoring, for example, vehicles in subway traffic, inter-city railway traffic, bus traffic, or other vehicle traffic can be monitored for structural health, in related environments, rail transit vehicles can be vehicles running in cities, can be underground vehicles, and can also be ground vehicles, and the structural health state of running vehicles needs to be monitored, so that the occurrence probability of traffic accidents caused by structural damage of vehicles or damage of rails is reduced, the quality of production and life is improved, and the safety of users using rail transit vehicles is improved. In the related art, for monitoring the structural health state of the vehicle, a worker typically beats a component of the vehicle or the vehicle is monitored by an external structural state monitoring sensor, but this way cannot effectively monitor the structural health state inside the vehicle or the damage state of the vehicle, and in the following embodiments of the present invention, the structural health state of the vehicle can be effectively monitored by using an intelligent material (such as a design intelligent layer). The intelligent layer can be applied to monitoring application of the structural state of the vehicle, basic parameters are obtained by monitoring the structural parameters of the vehicle, so that the intelligent layer is designed and an intelligent design drawing is issued, the intelligent layer is manufactured through the intelligent layer design drawing, and the monitoring of the structural state of the vehicle is realized according to the customized intelligent layer.

The vehicles in the following embodiments of the present invention may include, but are not limited to: the invention can realize effective structural health state monitoring on the structural state of vehicles such as subways, urban railways, trains, high-speed railways and the like, is not only not limited to intelligent layer design technology, but also can be applied to other structural health monitoring technologies, and can improve the monitoring efficiency by applying the structural health monitoring technology to the structural health monitoring application of rail transit vehicles.

The invention will now be described by way of preferred implementation steps, and fig. 1 is a flow chart of a method for monitoring a vehicle structure according to an embodiment of the invention, as shown in fig. 1, the method comprising the steps of:

step S102, obtaining preset test parameters.

The preset test parameters can be related parameters for testing the preset vehicle, specific types, models and the like of the preset vehicle are not specifically limited in the embodiment of the invention, a user can determine the preset vehicle according to the vehicle to be monitored, and the embodiment is utilized to effectively monitor the structural state of the selected preset vehicle.

For the step S102, when obtaining the preset test parameters, it may include: acquiring preset monitoring information, wherein the preset monitoring information is used for monitoring the structure of a preset vehicle; determining a target monitoring area according to preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; and acquiring preset test parameters corresponding to the target area. Wherein, acquiring the preset monitoring information may include: acquiring historical test data and simulation data; and analyzing the historical test data and the simulation data to obtain preset monitoring information corresponding to the preset vehicle.

The target area is obtained by obtaining the position and the area of the structure of the vehicle to be monitored according to the preset monitoring information, the range of the target area is not specifically limited, the target area can be a certain part of the preset vehicle, and also can be a certain connecting structure of the preset vehicle, such as a carriage, a frame, a vehicle top, a vehicle track pulley and the like, and a carriage connecting support and the like. The historical test data in the preset monitoring information may include data recorded in a historical process for testing the vehicle, and the simulation data may include data recorded in the historical process for performing a simulation test on the vehicle, and of course, the historical test data may also include existing vehicle test data, and the simulation data may also include current data for performing a simulation. Through historical test data and simulation data, the key area of the vehicle needing to be monitored can be inquired, namely, the area with high probability of structural damage in the historical process can be obtained through the historical data, and when an intelligent layer is designed or the structural health is monitored, the area with high probability of structural damage in the historical process can be monitored in a key mode, namely, the area can be located in a target area. Of course, the specific area of the target area is not limited in the embodiment of the present invention, and may also be an area that a user wants to monitor, for example, although the probability of the vehicle head historical damage is not large, the area is used as a monitoring and control center, and the structural health state of the area needs to be monitored in an important manner, or the area may also be used as the target area.

After the target area is determined, when the preset test parameters are determined, a drawing of the monitoring area can be issued according to the target area, so that an intelligent layer for monitoring the target area is designed according to the drawing of the monitoring area, and the target area is monitored by using the intelligent layer. The drawing of the presented monitoring area may include, but is not limited to: two-dimensional drawings and three-dimensional drawings.

Optionally, before determining the smart inlay design parameters according to the preset test parameters, the following steps may be further included in the embodiments of the present invention: acquiring test parameters and test data for monitoring the structure of a preset vehicle according to preset test parameters, wherein the test data and the test parameters are used for indicating and determining intelligent layer design parameters so as to obtain an intelligent layer, and the test data at least comprises the following steps: wave propagation distance parameters, excitation frequency and calibration curve. The test parameters may be, but are not limited to: test flow, test outline, specific test items, test results and the like. The wave propagation distance parameter may refer to a measured wave propagation distance.

The wave propagation distance parameter may be distance data between a plurality of sensors (e.g., two sensors), and after the sensing distance between each two sensors is obtained, the closest parameter is selected as the optimal distance parameter in the wave propagation distance parameters. The excitation frequency can be the number of excitations that the sensor needs to monitor, and the optimal excitation frequency parameter is obtained by selecting the signal-to-noise ratio, and the excitation frequency is determined by the number of excitations in a working period. The calibration curve may be a relation curve parameter between a damage factor and a damage size when a damage test is performed on a preset vehicle, the damage factor may be a degree of structural damage, the maximum damage factor is 1, and after the calibration curve is determined, the degree of structural damage of the vehicle in a target region may be obtained.

And step S104, determining intelligent layer design parameters of an intelligent layer corresponding to the preset vehicle according to the preset test parameters, wherein the intelligent layer indicates the structural information of the preset vehicle.

The parameters for designing the smart inlay may also include a design flow and how to perform a test experiment, and the design parameters for the smart inlay may refer to related parameters for designing the smart inlay.

The intelligent layer of the embodiment of the invention can be a piezoelectric sensing network, and can monitor the structural state of the vehicle, namely, the monitoring of the structural health state is realized through the intelligent layer, and the structural integrity of the vehicle is judged. The particular type and form of smart inlay is not limited, and for example, the smart inlay may be configured as a film (e.g., an insulating film for a distributed drive and/or sensing network), a monitoring module, a hook, an adhesive member, etc., and may be placed around or on a target area to monitor the structural condition of the vehicle. The structural state of the vehicle of the embodiment of the present invention includes a normal state and an abnormal state, and the abnormal state may include, but is not limited to: deformation, defects, damage, corrosion, failure, etc. The intelligent layer can be used for carrying out real-time online monitoring on key parts of the rail vehicle. In the embodiment of the invention, the material and the geometric structure of the intelligent layer are not limited, and the monitoring of the structural state of the vehicle is realized through the intelligent layer. The intelligent layer can be fused with the area to be monitored of the preset vehicle, so that the monitoring of the structural health state of the key components of the preset vehicle is facilitated.

For the above embodiment, determining the smart inlay design parameters according to the preset test parameters includes: determining layout design parameters of preset sensors according to preset test data; determining test verification parameters of a preset sensor according to the layout design parameters; determining damage probability corresponding to the layout of a preset sensor according to the test verification parameters; determining design drawing parameters of the intelligent layer according to the damage probability and the layout design parameters; and taking the design drawing parameters of the intelligent layer as the design parameters of the intelligent layer.

Namely, the preset test parameters can be utilized to obtain the design drawing of the intelligent layer to be designed, so that the intelligent layer is constructed according to the design drawing. The layout design parameters of the preset sensors may refer to parameters for designing a plurality of sensors, and the types and the number of the sensors in the embodiment of the present invention are not specifically limited, for example, a distance sensor, a temperature and humidity sensor, a damage sensor, and the like are provided. The test verification parameters may refer to layout design verification of the sensors, that is, test verification of the sensors designed in the layout design parameters to obtain the test verification parameters, obtain parameters such as sensor distance and area size, and determine whether the sensors interfere with each other. The preset damage probability corresponding to the layout of the sensor may refer to the probability of the structural damage detected by the sensor, and a corresponding damage probability threshold may be set, for example, 80% or 90%, and after obtaining the damage probability, it is determined whether the damage probability is higher than the damage probability threshold, so as to determine the structural damage degree. Finally, the design drawing parameters of the intelligent layer can be obtained by using the designed test parameters and the design parameters, and the design drawing parameters of the intelligent layer are used as the intelligent design parameters, the design drawing parameters of the intelligent layer can be the design drawing parameters of the intelligent layer for monitoring the components of the vehicles in the area to be monitored, and the design drawing parameters of the intelligent layer can include but are not limited to: the structure of the intelligent layer, the circuit of the intelligent layer, the sensor of the intelligent layer, the connecting component in the intelligent layer, the substrate of the intelligent layer and the like.

And S106, establishing an intelligent layer corresponding to the preset vehicle by using the intelligent layer design parameters.

Wherein, utilizing the smart tier design parameters, establishing the smart tier corresponding to the preset vehicle comprises: and establishing the intelligent layer by using the design drawing parameters of the intelligent layer. After the smart inlay is built, the above-described structural health monitoring techniques may also be applied to sensor manufacturing, wiring connections, and the like.

And S108, carrying out structural monitoring on the preset vehicle according to the intelligent layer to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle.

The preset structural state of the vehicle in the embodiment of the invention may refer to a structural state of each component of the vehicle and/or a state of a connection relationship between the components.

Through the steps, the preset test parameters of the preset vehicle can be obtained firstly, the intelligent layer design parameters of the intelligent layer corresponding to the preset vehicle are determined according to the preset test parameters, the intelligent layer design parameters are established on the intelligent layer corresponding to the preset vehicle, and finally, the structure of the preset vehicle can be monitored according to the designed intelligent layer, so that the vehicle monitoring result indicating the structural state of the preset vehicle is obtained. In this embodiment, the intelligent layer can be established by using the test parameters, so that the structural state of the preset vehicle can be monitored by using the intelligent layer, that is, the structural state of the vehicle can be effectively monitored, the monitoring result is digitalized, the user can check the current state of the vehicle according to the vehicle monitoring result, and when the vehicle monitoring result is abnormal, the structure of the vehicle can be timely adjusted, the efficiency of monitoring the structural state of the vehicle by the user can be improved, and the technical problem that the structure of the vehicle cannot be monitored in the related art is solved.

For the above embodiment of the present invention, before performing the structural monitoring on the preset vehicle according to the smart inlay to obtain the vehicle monitoring result, the method may further include: acquiring a test outline for carrying out the structural test on the preset vehicle, wherein the test outline is used for indicating the sequence of carrying out the structural test on the preset vehicle; according to the test outline, carrying out fatigue test on the preset vehicle to obtain a fatigue test result, wherein the fatigue test result indicates the damage degree of the intelligent layer; and carrying out an environment test on the preset vehicle according to the test outline to obtain an environment test result, wherein the environment test result is used for indicating the running parameters of the preset vehicle in the preset running environment. After obtaining the fatigue test result and the environment test result, the method further comprises the following steps: and determining that the intelligent layer meets the first target requirement under the condition that the fatigue test result reaches the first expected target and the environment test result reaches the second expected target.

According to the implementation mode, after the intelligent layer is obtained, the using environment and the using state of the intelligent layer can be tested, the intelligent layer comprises a compendium for testing the intelligent layer, and the testing test is conducted through the guidance of the testing compendium, wherein the fatigue test can be conducted by applying force to the structure in a complete state so that the intelligent layer finds and positions the damage degree, the monitoring function of the intelligent layer can be continuously perfected during testing, and the preset vehicle operation condition can be simulated through the fatigue test to verify the technical evaluation damage of the intelligent layer; and through the environment test, the data of the environment where the intelligent layer is located can be tested, including but not limited to: the temperature and humidity data can enable the intelligent layer to monitor environmental parameters through an environmental test so as to verify the compatibility of the intelligent layer. The first expected target can be the damage degree of the vehicle, monitored by the intelligent layer during fatigue testing, of the structure, the second expected target can be the damage degree of the vehicle, monitored environment parameters (such as temperature and humidity) of the intelligent layer during use of the intelligent layer meet parameters used in the actual environment, the first target requirement can be the condition that the intelligent layer meets design requirements at the same time, the structural health of the vehicle can be effectively monitored, and the first expected target can be well fused into a vehicle structure monitoring component. If the fatigue test result does not reach the first expected target and/or the environmental test result does not reach the second expected target, the smart inlay is redesigned and optimized to meet the conditions.

In addition, according to the intelligent layer, the structure monitoring is carried out on the preset vehicle, and the obtained vehicle monitoring result comprises: according to the intelligent layer, performing a first line test and a second line test on the preset vehicle to obtain a line test result, wherein the first line test is used for testing the line test that the running speed of the preset vehicle is lower than a preset threshold value, and the second line test is used for testing the line test that the running speed of the preset vehicle is higher than the preset threshold value; determining that the preset vehicle monitoring system reaches a third expected target according to the line test result, wherein the preset vehicle monitoring system is used for indicating to monitor the state of the preset vehicle; and determining that the preset vehicle monitoring system meets the second target requirement under the condition that the preset vehicle monitoring system meets the third expected target.

The above embodiment may be that after the smart inlay is obtained and the test of the smart inlay passes, the smart inlay is applied to the actual line running process. The first line test can be a low-speed line test, and the second line test can be a high-speed line test, so that the structural health state of the vehicle in the actual running state is effectively monitored. The preset vehicle monitoring system may be a system for monitoring the structural health state of the preset vehicle according to the intelligent layer after the intelligent layer is obtained and the test of the intelligent layer is passed, that is, integrated system development may be performed according to the intelligent layer and actual software and hardware of the preset vehicle to obtain the preset vehicle monitoring system. After the preset vehicle monitoring system is obtained, the system can be loaded into an actual vehicle to perform vehicle-mounted system development so as to effectively monitor the structural health of the vehicle, wherein when the vehicle-mounted system development is performed, the vehicle system can adapt to a reference structure of the actual vehicle, such as a power supply system, a data transmission protocol, an installation specification and the like, wherein the power supply system can mean that a power supply used by the vehicle and a power supply used by the vehicle-mounted system can be the same, and the data transmission protocol can be that the transmission protocol of the vehicle-mounted system is matched with the data transmission protocol of the actual vehicle.

For the third expected objective of the above embodiment, the first line test result and the second line test result may be operation results meeting actual operation conditions, and the second objective requirement may be that the result monitored by the preset vehicle monitoring system meets monitoring parameters under actual conditions.

Through the embodiment, the structural health monitoring system adaptive to the vehicle structure can be designed, and the structural health monitoring system can effectively monitor the structural states of the vehicle in the actual running state and the stopped state.

The invention will now be described with reference to another embodiment.

Fig. 2 is a schematic diagram of a development process of a monitoring system of a vehicle structure according to an embodiment of the present invention, where the vehicle may be a rail transit vehicle, as shown in fig. 2, and 10 parts are involved in total, namely, demand reporting, monitoring area determination, wave propagation test development, smart floor design, smart floor manufacturing, bench test, structural health monitoring system integrated development, vehicle-mounted system development, line test, and test termination.

Specifically, the area to be monitored can be selected according to the current vehicle experiment and the simulation result, so that the content of the demand report, that is, the area to be monitored in focus, is determined according to the current vehicle experiment and the simulation result.

And determining a monitoring area, determining the monitoring area according to the content of the demand report, and issuing a two-dimensional drawing and a three-dimensional drawing of the monitoring area.

The method is mainly used for establishing basic parameters by developing a wave propagation test, and mainly comprises the steps of establishing a test outline, measuring a wave propagation distance, an excitation frequency, a calibration curve and the like.

The intelligent layer design is guided by using the wave propagation test result obtained by the spread wave propagation test, and the intelligent layer design can comprise the steps of preliminary sensor layout design, layout test verification by using a single sensor, detection probability calculation (namely calculating the detection probability of the damage corresponding to the sensor layout), perfection of sensor layout design and delivery of an intelligent layer drawing.

Fig. 3 is a schematic diagram of the structure of a smart inlay according to an embodiment of the invention, as shown in fig. 3, which smart inlay may comprise connectors, circuit layers, flexible substrates, adhesive layers, actuators or sensors, wherein a sensor or actuator may be understood as a sensing element, where a sensor may be provided as a piezoelectric sensor and an adhesive layer may be provided as an insulating layer, and likewise the content of the smart design may be adapted to other related sensor layout designs.

Manufacturing the intelligent layer, namely manufacturing the intelligent layer according to the design drawing of the intelligent layer, applying sensor manufacturing, circuit connection and the like in the structural health monitoring technology, wherein the specific content of the part is also suitable for manufacturing and assembling the sensor in other related technologies.

The bench test is the main link for verifying the damage judgment function of the customized intelligent layer, and can comprise the steps of formulating a test outline, the test is guided by the formulated test outline, the fatigue test and the environmental test (including detecting temperature, humidity, electromagnetism, etc.) can be guided by the test outline, verifying the damage evaluation function of the intelligent layer technology by simulating the operation condition of the rail vehicle through a fatigue test, verifying the compatibility of the intelligent layer technology by simulating the current vehicle operation environment through an environment test, judging whether the expected requirement is met or not by combining two test results, if the expected requirement is not met, then the intelligent layer structure needs to be optimized by returning to the intelligent layer design link, a brand new intelligent layer is manufactured, the bench test is carried out again until the expected requirement is met, in other related art, the details in this section are equally applicable to bench testing of sensor technology.

The structure health monitoring system is developed in an integrated mode, existing monitoring software and hardware are developed in an integrated mode, a set of monitoring system suitable for rail transit vehicles is obtained, and in other related technologies, the specific content of the monitoring system is also suitable for being developed and used for the rail transit vehicles.

In the development of the vehicle-mounted system, the monitoring system which is integrally developed needs to be upgraded so as to adapt to the application standards of electronic equipment in the train, such as a power supply system, a data transmission protocol, installation specifications and the like.

And (3) line testing, namely mounting the successfully developed vehicle-mounted system and the intelligent layer verified by the bench test on the current vehicle structure to be tested, and judging the compatibility of the monitoring system in the actual running state of the rail vehicle. And carrying out low-speed test, carrying out actual operation line test under the low-speed test, certainly carrying out high-speed actual operation line test, judging a line test result, finishing the test if the line test result meets the expected requirement, optimizing the integrated development of the structural health monitoring system and the development work of the vehicle-mounted system if the line test result does not meet the requirement, and then carrying out line test again by combining with a bench test result until the test is finished if the line test result meets the requirement. And (4) providing a test report after the test is finished, and guiding the loading application of the subsequent structural health monitoring system through the test report.

In the above embodiment, the intelligent layer is taken as an example to introduce a development process of the structural health monitoring technology applied to the rail transit vehicle. The intelligent layer is a piezoelectric sensing network and is used for collecting structural state information so as to judge structural integrity. When the vehicle structure health is monitored, firstly, monitoring requirements are provided according to the current vehicle experiment and simulation results, the monitoring requirements are evaluated so as to determine a monitoring area, and basic wave transmission parameters such as wave transmission distance, excitation frequency, calibration curve and the like are determined by adopting the same materials as the monitoring area to carry out wave transmission test; and designing the intelligent layer according to the measured basic parameters, issuing an intelligent layer design drawing, and manufacturing the intelligent layer according to the drawing requirements. The function of judging the structural integrity of the customized intelligent layer is verified by adopting a bench test, the next step of line test is carried out when the test result meets the expected requirement, the step of intelligent layer design, intelligent layer manufacturing, bench test and the like is repeated when the test result does not meet the requirement, the work of integrated development of a structural health monitoring system, vehicle-mounted system development and the like is carried out before the line test, and the line test is carried out by combining the bench test result meeting the requirement. When the line test result does not meet the expected requirement, the integrated development of the structural health monitoring system and the development of the vehicle-mounted system are repeatedly carried out, and then the line test is carried out. And when the line test result meets the expected requirement, stopping the test and issuing a test report. The invention is not limited to the intelligent layer technology, and is also suitable for the development process of the application of other structural health monitoring technologies in rail transit vehicles.

The intelligent layer in the embodiment of the invention can be an insulating film integrated with a distributed driving/sensing network, can be fused with key parts of a train, senses and predicts a series of states of deformation, defects, damage, corrosion, failure and the like of a vehicle structure, is one of technologies capable of potentially carrying out real-time online monitoring on the key parts of a rail vehicle, and is based on the structure monitoring of the intelligent layer and dependent on the material property and the geometric structure of the structure to be monitored and the environment of the structure, so that when a brand new structure is monitored, a wave transmission test, an intelligent layer structure design, an intelligent layer manufacturing, a bench test, a line test and the like are needed to be carried out firstly. In addition, at present, the technology is not applied in the field of rail transit, so the integrated development of the structural health monitoring system and the development of the vehicle-mounted system are carried out again. Based on the characteristics of the intelligent layer technology, when key parts of the rail transit vehicle are monitored, a technical development process needs to be standardized to ensure that the technology is successfully loaded and applied. The embodiment of the invention is not limited to the development of the intelligent layer technology in the application of the rail transit vehicle, and is also suitable for the development of other structural health monitoring technologies such as fiber bragg grating, acoustic emission and the like in the application of the rail transit vehicle. The invention provides a structural health monitoring technology development process suitable for rail transit vehicles for the first time. The invention takes the intelligent layer technology as an example to standardize the development process of the structural health monitoring technology in the application of the rail transit vehicle, and can play an instructive role in the development of the subsequent related technologies.

Fig. 4 is a schematic view of a monitoring device of a vehicle structure according to an embodiment of the present invention, and as shown in fig. 4, the device may include: a first obtaining unit 41, configured to obtain preset test parameters; a determining unit 43, configured to determine an intelligent layer design parameter of an intelligent layer corresponding to the preset vehicle according to a preset test parameter, where the intelligent layer indicates structural information of the preset vehicle; an establishing unit 45, configured to establish an intelligent layer corresponding to a preset vehicle by using intelligent layer design parameters; and the monitoring unit 47 is used for performing structural monitoring on the preset vehicle according to the intelligent layer to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle.

In the above embodiment, the preset test parameter of the preset vehicle may be obtained by the first obtaining unit 41, the determining unit 43 determines the intelligent layer design parameter of the intelligent layer corresponding to the preset vehicle according to the preset test parameter, the establishing unit 45 establishes the intelligent layer corresponding to the preset vehicle by using the intelligent layer design parameter, and finally, the monitoring unit 47 may perform structural monitoring on the preset vehicle according to the designed intelligent layer to obtain the vehicle monitoring result indicating the structural state of the preset vehicle. In this embodiment, the intelligent layer can be established by using the test parameters, so that the structural state of the preset vehicle can be monitored by using the intelligent layer, that is, the structural state of the vehicle can be effectively monitored, the monitoring result is digitalized, the user can check the current state of the vehicle according to the vehicle monitoring result, and when the vehicle monitoring result is abnormal, the structure of the vehicle can be timely adjusted, the efficiency of monitoring the structural state of the vehicle by the user can be improved, and the technical problem that the structure of the vehicle cannot be monitored in the related art is solved.

The first obtaining unit 41 may include: the system comprises a first acquisition module, a second acquisition module and a monitoring module, wherein the first acquisition module is used for acquiring preset monitoring information, and the preset monitoring information is used for monitoring the structure of a preset vehicle; the first determining module is used for determining a target monitoring area according to preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; and the second acquisition module is used for acquiring preset test parameters corresponding to the target area.

For the first obtaining module, it may include: the acquisition submodule is used for acquiring historical test data and simulation data; and the analysis submodule is used for analyzing the historical test data and the simulation data to obtain preset monitoring information corresponding to the preset vehicle.

In addition, the apparatus of the embodiment of the present invention may further include: a second obtaining unit, configured to obtain test parameters and test data for monitoring a structure of a preset vehicle according to preset test parameters before determining intelligent layer design parameters according to the preset test parameters, where the test data and the test parameters are used to indicate that the intelligent layer design parameters are determined to obtain an intelligent layer, and the test data at least includes: wave propagation distance parameters, excitation frequency and calibration curve.

Alternatively, the determining unit 43 may include: the second determining module is used for determining layout design parameters of the preset sensor according to the preset test data; the third determining module is used for determining test verification parameters of the preset sensor according to the layout design parameters; the fourth determining module is used for determining the damage probability corresponding to the layout of the preset sensor according to the test verification parameters; the fifth determining module is used for determining the design drawing parameters of the intelligent layer according to the damage probability and the layout design parameters; and the sixth determining module is used for taking the design drawing parameters of the intelligent layer as the design parameters of the intelligent layer.

Wherein, the establishing unit 45 includes: and the establishing submodule is used for establishing the intelligent layer by utilizing the design drawing parameters of the intelligent layer.

In addition, the above apparatus further comprises: the third obtaining unit is used for obtaining a test outline for carrying out the structural test on the preset vehicle before carrying out the structural monitoring on the preset vehicle according to the intelligent layer and obtaining a vehicle monitoring result, wherein the test outline is used for indicating the sequence of carrying out the structural test on the preset vehicle; the first testing unit is used for carrying out fatigue testing on a preset vehicle according to a test outline to obtain a fatigue testing result, wherein the fatigue testing result indicates the damage degree of the intelligent layer; and the second testing unit is used for carrying out an environment test on the preset vehicle according to the test outline to obtain an environment test result, wherein the environment test result is used for indicating the running parameters of the preset vehicle in the preset running environment.

Optionally, the apparatus may further include: and the seventh determining submodule is used for determining that the intelligent layer meets the first target requirement under the condition that the fatigue test result reaches the first expected target and the environment test result reaches the second expected target after the fatigue test result and the environment test result are obtained.

Wherein, the monitoring unit 47 includes: the system comprises a testing module, a control module and a control module, wherein the testing module is used for carrying out a first line test and a second line test on a preset vehicle according to an intelligent layer to obtain a line test result, the first line test is used for testing the line test that the running speed of the preset vehicle is lower than a preset threshold value, and the second line test is used for testing the line test that the running speed of the preset vehicle is higher than the preset threshold value; the eighth determining module is used for determining that the preset vehicle monitoring system reaches a third expected target according to the line test result, wherein the preset vehicle monitoring system is used for indicating to monitor the state of the preset vehicle; and the ninth determining module is used for determining that the preset vehicle monitoring system meets the second target requirement under the condition that the preset vehicle monitoring system meets the third expected target.

The monitoring device of the vehicle structure may further include a processor and a memory, the first acquiring unit 41, the determining unit 43, the establishing unit 45, the monitoring unit 47, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the operating parameters of the air conditioning equipment are adjusted by adjusting the kernel parameters so as to be adjusted to be parameters suitable for the environment where the user is located.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip

According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the apparatus on which the storage medium is located is controlled to execute the monitoring method of the vehicle structure of any one of the above items when the program is executed.

According to another aspect of the embodiments of the present invention, there is also provided a processor for running a program, wherein the program is run to perform the monitoring method of the vehicle structure of any one of the above.

The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring preset test parameters; determining intelligent layer design parameters of an intelligent layer corresponding to a preset vehicle according to preset test parameters, wherein the intelligent layer indicates structural information of the preset vehicle; establishing an intelligent layer corresponding to a preset vehicle by using intelligent layer design parameters; and according to the intelligent layer, carrying out structural monitoring on the preset vehicle to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle.

Optionally, when executing the program, the processor may obtain preset monitoring information, where the preset monitoring information is used to monitor a structure of a preset vehicle; determining a target monitoring area according to preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; so as to obtain the preset test parameters corresponding to the target area.

Optionally, the processor may obtain historical test data and simulation data when executing a program; and analyzing the historical test data and the simulation data to obtain preset monitoring information corresponding to the preset vehicle.

Optionally, when executing the program, the processor may obtain test parameters and test data for monitoring a structure of a preset vehicle according to preset test parameters, where the test data and the test parameters are used to instruct determining smart floor design parameters to obtain a smart floor, and the test data at least includes: wave propagation distance parameters, excitation frequency and calibration curve.

Optionally, when the processor executes a program, layout design parameters of preset sensors may be determined according to preset test data; determining test verification parameters of a preset sensor according to the layout design parameters; determining damage probability corresponding to the layout of a preset sensor according to the test verification parameters; determining design drawing parameters of the intelligent layer according to the damage probability and the layout design parameters; the design drawing parameters of the intelligent layer are used as the design parameters of the intelligent layer.

Optionally, when the processor executes the program, the smart inlay may be established by using design drawing parameters of the smart inlay.

Optionally, when executing the program, the processor may obtain a test schema for performing a structural test on the preset vehicle, where the test schema is used to indicate an order of performing the structural test on the preset vehicle; according to the test outline, carrying out fatigue test on the preset vehicle to obtain a fatigue test result, wherein the fatigue test result indicates the damage degree of the intelligent layer; and carrying out an environment test on the preset vehicle according to the test outline to obtain an environment test result, wherein the environment test result is used for indicating the running parameters of the preset vehicle in the preset running environment.

Optionally, the processor may determine, when executing the program, that the smart inlay has reached the first target requirement in case the fatigue test result reaches the first desired target and in case the environmental test result reaches the second desired target.

Optionally, when executing the program, the processor may perform a first line test and a second line test on the preset vehicle according to the intelligent layer to obtain a line test result, where the first line test is a line test for testing that the operating speed of the preset vehicle is lower than a preset threshold, and the second line test is a line test for testing that the operating speed of the preset vehicle is higher than the preset threshold; determining that the preset vehicle monitoring system reaches a third expected target according to the line test result, wherein the preset vehicle monitoring system is used for indicating to monitor the state of the preset vehicle; and determining that the preset vehicle monitoring system meets the second target requirement under the condition that the preset vehicle monitoring system meets the third expected target.

The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring preset test parameters; determining intelligent layer design parameters of an intelligent layer corresponding to a preset vehicle according to preset test parameters, wherein the intelligent layer indicates structural information of the preset vehicle; establishing an intelligent layer corresponding to a preset vehicle by using intelligent layer design parameters; and according to the intelligent layer, carrying out structural monitoring on the preset vehicle to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims

1. A method of monitoring a vehicle structure, comprising:

acquiring preset test parameters, wherein the preset test parameters are related parameters for testing a preset vehicle, and the acquiring of the preset test parameters comprises the following steps: acquiring preset monitoring information, wherein the preset monitoring information is used for monitoring the structure of a preset vehicle; determining a target monitoring area according to the preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; acquiring preset test parameters corresponding to the target area;

determining intelligent layer design parameters of an intelligent layer corresponding to a preset vehicle according to the preset test parameters, wherein the intelligent layer indicates the structural information of the preset vehicle;

establishing an intelligent layer corresponding to the preset vehicle by using the intelligent layer design parameters;

according to the intelligent layer, carrying out structural monitoring on the preset vehicle to obtain a vehicle monitoring result, wherein the vehicle monitoring result is used for indicating the structural state of the preset vehicle;

wherein, prior to determining the smart inlay design parameters from the preset test parameters, the method comprises: acquiring test parameters and test data for monitoring the structure of the preset vehicle according to the preset test parameters, wherein the test data and the test parameters are used for indicating and determining the intelligent layer design parameters to obtain the intelligent layer, and the test data at least comprises: the device comprises a wave transmission distance parameter, an excitation frequency and a calibration curve, wherein the wave transmission distance parameter refers to distance data among a plurality of sensors, the excitation frequency refers to the number of times of excitation of the sensors to be monitored, the calibration curve refers to a relation curve parameter between a damage factor and a damage size when a damage test is carried out on the preset vehicle, and the damage factor refers to the degree of structural damage.

2. The method of claim 1, wherein obtaining preset monitoring information comprises:

acquiring historical test data and simulation data;

and analyzing the historical test data and the simulation data to obtain preset monitoring information corresponding to the preset vehicle.

3. The method of claim 1, wherein determining the smart inlay design parameters from the preset test parameters comprises:

determining layout design parameters of a preset sensor according to the preset test parameters;

determining test verification parameters of the preset sensor according to the layout design parameters;

determining damage probability corresponding to the layout of the preset sensor according to the test verification parameters;

determining design drawing parameters of the intelligent layer according to the damage probability and the layout design parameters;

and taking the design drawing parameters of the intelligent layer as the design parameters of the intelligent layer.

4. The method of claim 3, wherein using the smart inlay design parameters, establishing a smart inlay corresponding to the pre-determined vehicle comprises: and establishing the intelligent layer by using the design drawing parameters of the intelligent layer.

5. The method of claim 1, wherein prior to performing structural monitoring of the pre-defined vehicle according to the smart inlay to obtain vehicle monitoring results, the method comprises:

acquiring a test outline for performing a structural test on the preset vehicle, wherein the test outline is used for indicating the sequence of performing the structural test on the preset vehicle;

according to the test outline, carrying out fatigue test on the preset vehicle to obtain a fatigue test result, wherein the fatigue test result indicates the damage degree of the intelligent layer;

and carrying out an environmental test on the preset vehicle according to the test outline to obtain an environmental test result, wherein the environmental test result is used for indicating the operation parameters of the preset vehicle in a preset operation environment.

6. The method of claim 5, further comprising, after obtaining the fatigue test results and the environmental test results:

determining that the smart inlay meets a first target requirement if the fatigue test results meet a first desired target and if the environmental test results meet a second desired target.

7. The method of claim 1, wherein performing structural monitoring of the pre-defined vehicle based on the smart inlay, and obtaining vehicle monitoring results comprises:

according to the intelligent layer, performing a first line test and a second line test on the preset vehicle to obtain a line test result, wherein the first line test is used for testing the line test that the running speed of the preset vehicle is lower than a preset threshold value, and the second line test is used for testing the line test that the running speed of the preset vehicle is higher than the preset threshold value;

determining that a preset vehicle monitoring system reaches a third expected target according to the line test result, wherein the preset vehicle monitoring system is used for indicating to monitor the state of the preset vehicle;

determining that the preset vehicle monitoring system meets a second target requirement when the preset vehicle monitoring system meets a third expected target.

8. A monitoring device for a vehicle structure, comprising:

the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring preset test parameters, the preset test parameters are related parameters for testing a preset vehicle, and when the preset test parameters are acquired, the acquisition unit comprises: acquiring preset monitoring information, wherein the preset monitoring information is used for monitoring the structure of a preset vehicle; determining a target monitoring area according to the preset monitoring information, wherein the target monitoring area is used for indicating the target area for monitoring the structural state; acquiring preset test parameters corresponding to the target area;

a determining unit, configured to determine, according to the preset test parameter, an intelligent layer design parameter of an intelligent layer corresponding to a preset vehicle, where the intelligent layer indicates structural information of the preset vehicle;

the establishing unit is used for establishing an intelligent layer corresponding to the preset vehicle by utilizing the intelligent layer design parameters;

a monitoring unit, configured to perform structural monitoring on the preset vehicle according to the smart floor to obtain a vehicle monitoring result, where the vehicle monitoring result is used to indicate a structural state of the preset vehicle,

the monitoring device of the vehicle structure further includes: a second obtaining unit, configured to obtain, before determining the smart floor design parameter according to the preset test parameter, a test parameter and test data for monitoring a structure of the preset vehicle according to the preset test parameter, where the test data and the test parameter are used to instruct determining the smart floor design parameter to obtain the smart floor, and the test data at least includes: the device comprises a wave transmission distance parameter, an excitation frequency and a calibration curve, wherein the wave transmission distance parameter refers to distance data among a plurality of sensors, the excitation frequency refers to the number of times of excitation of the sensors to be monitored, the calibration curve refers to a relation curve parameter between a damage factor and a damage size when a damage test is carried out on the preset vehicle, and the damage factor refers to the degree of structural damage.