CN117195730B - Method and system for analyzing service life of electromechanical equipment of expressway - Google Patents
Method and system for analyzing service life of electromechanical equipment of expressway Download PDFInfo
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Abstract
The invention discloses a life analysis method and a system of highway electromechanical equipment, which belong to the technical field of highway traffic electromechanical equipment and specifically comprise the following steps: collecting data related to the life of the electromechanical equipment of the expressway, including equipment operation data, maintenance and maintenance records, faults and accident records, preprocessing the collected data related to the life of the electromechanical equipment of the expressway, processing abnormal values and missing values, carrying out life analysis according to the obtained related parameters of the life of the electromechanical equipment of the expressway, drawing a fault rate curve and a reliability curve to describe the life characteristics of the equipment, predicting the life of the electromechanical equipment according to the life analysis result, carrying out fault analysis according to the analysis result of the life of the electromechanical equipment of the expressway, finding out reasons for causing the life reduction of the equipment of the expressway, and providing corresponding improvement measures, thereby improving the accuracy of predicting the residual life, prolonging the life of the equipment and improving the reliability of the equipment.
Description
Technical Field
The invention belongs to the technical field of highway traffic electromechanical equipment, and particularly relates to a life analysis method and system of highway electromechanical equipment.
Background
At present, many models and methods are applied to the study of life prediction of road tunnel electromechanical equipment, and early main models include a regression model based on random coefficients, a Markov chain model, a covariate risk model, a failure physical model, kalman filtering and the like. The models are mainly used for evaluating the residual life release condition of the equipment according to the selected fault characteristic parameters through researching the failure mechanism of the equipment. With the development of machine learning technology, more and more models based on artificial intelligence technology are proposed, such as a support vector machine model, a gray model, a BP neural network model, a deep belief network, a convolutional neural network, a cyclic neural network, and the like. The models rely on characteristic data of the system to produce a certain effect technically, but for the condition that the electromechanical equipment of the highway tunnel has intermittent faults, the residual life of the equipment is predicted by adopting a quantitative method on the basis of qualitative analysis of the fault principle of the electromechanical equipment,
for example, china patent with the grant publication number of CN111325403B discloses a method for predicting the residual life of road tunnel electromechanical equipment, which adopts external environment parameters to establish an environment factor error identification model, compensates the internal state parameters of the road tunnel electromechanical equipment, and obtains compensated internal state parameters; the compensated internal state parameters and the fault rate of the electromechanical equipment of the highway tunnel are taken as analysis objects, and feature vectors are obtained through analysis of the nuclear main components; taking the characteristic vector as the input quantity of the long-period memory network, taking the residual life of the road tunnel electromechanical equipment as the output quantity of the long-period memory network, and training the long-period memory network to obtain a life prediction model of the road tunnel electromechanical equipment; and predicting the life of the road tunnel electromechanical equipment by adopting a life prediction model of the road tunnel electromechanical equipment. The method improves the accuracy of the input quantity in the residual life prediction model, thereby improving the accuracy of the residual life obtained when the model is adopted for residual life prediction.
For example, chinese patent with grant publication number CN115713044B discloses a method for analyzing remaining life of electromechanical equipment under multiple working conditions, which comprises: acquiring historical electromechanical equipment data, and splitting the historical electromechanical equipment data into single working condition data and multi-working-condition data according to the working condition number; extracting a working condition health curve set corresponding to single working condition data by utilizing a pre-trained health analysis model; generating an analysis working condition curve corresponding to the target time sequence working condition curve by using a preset initial working condition model, and recursively updating the initial working condition model according to the analysis working condition curve to obtain a working condition analysis model; and acquiring real-time equipment data of the target electromechanical equipment, generating a health curve corresponding to the real-time equipment data by using a working condition analysis model, and extracting the residual life of the target electromechanical equipment from the health curve. The invention also provides a device for analyzing the residual life of the electromechanical equipment under the condition of multiple working conditions. The invention can improve the accuracy of the analysis of the residual life of the electromechanical equipment.
The defects of the above patents: the neural network is adopted to predict the service life, the required data volume is large, the training time is long, and the accuracy of the trained result is low because of different environmental factors, so that the training method cannot be used for the electromechanical system and equipment of the expressway under all conditions.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a life analysis method and a life analysis system for the mechanical equipment of the expressway, which are used for collecting data related to the life of the mechanical equipment of the expressway, preprocessing the collected data related to the life of the mechanical equipment of the expressway, drawing a fault rate curve and describing the life characteristics of the equipment by a reliability curve according to the obtained data related to the life of the mechanical equipment of the expressway, carrying out life analysis, predicting the life of the mechanical equipment of the expressway according to a life analysis result, carrying out fault analysis, finding out reasons for reducing the life of the equipment according to an analysis result of the life of the mechanical equipment of the expressway, providing corresponding improvement measures, analyzing the life of the mechanical equipment of the expressway by combining the fault rate, the reliability and environmental factors of the mechanical equipment of the expressway, accurately predicting the residual life of the mechanical equipment of the expressway, identifying the fault type, providing improvement suggestions and measures, and effectively improving the service performance of the mechanical equipment of the expressway, thereby ensuring the normal operation of the expressway and realizing the programmed and standardized management of the use process of the mechanical equipment of the expressway.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a life analysis method of highway electromechanical equipment comprises the following steps:
step S1: collecting data related to the life of the highway electromechanical device;
step S2: preprocessing the collected data related to the service life of the electromechanical equipment of the expressway;
step S3: drawing a fault rate curve and a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway to describe the service life characteristics of the equipment;
step S4: and carrying out life analysis, predicting the residual life of the electromechanical equipment of the highway according to a life analysis result, carrying out fault type identification, finding out the reason for reducing the life of the equipment, and providing corresponding improvement measures.
Specifically, the data related to the life of the electromechanical device of the highway in the step S1 includes: fault and accident records, repair and maintenance records, equipment operating environment data and equipment operating data.
Specifically, the preprocessing in step S2 includes: data cleaning, abnormal value processing and missing value correction.
Specifically, the specific steps of the step S3 are as follows:
step S301: classifying the expressway electromechanical equipment according to expressway electromechanical systems, setting the set of the expressway electromechanical systems as N,wherein n is m Representing an mth highway machine electronic system; />Indicating that the mth highway machine electronic system comprises o m Highway electromechanical device->Represents the 1 st highway machine electronic system (o) 1 A highway electromechanical device;
step S302: setting the reliability of electromechanical equipment of the mth expressway electromechanical system ast represents the t day, then the mth highway machineThe reliability of the electronic system is that Wherein, pi represents a cumulative function, and the reliability calculation formula of the electromechanical system of the expressway is as follows:
wherein K is m (t) represents the reliability of the highway electromechanical system;
step S303: calculating the failure rate of the mechanical and electrical equipment of the expressway on the t-th dayThe calculation formula is as follows:
wherein g (t) represents the number of failures occurring on the t-th day, and S (t) represents the time of use on the t-th day;
step S304: and drawing a fault rate curve and a reliability curve by taking the time t as an abscissa and the reliability of the electromechanical system of the expressway and the fault rate of the electromechanical equipment of the expressway as ordinate respectively.
Specifically, the specific steps of the step S4 are as follows:
step S401: the method comprises the following steps of predicting and calculating the residual life of the electromechanical equipment of the expressway, wherein the calculation formula is as follows:
wherein SM (t) represents an electromechanical device for a highwaySM represents the remaining life of (2)Electromechanical equipment for expresswayDesign lifetime of->Express highway electromechanical device->Is the environmental impact factor, t pmin Express highway electromechanical device->A time period when the failure rate of (2) reaches 100%;
step S402: inputting the fault data of the electromechanical equipment of the expressway into a trained neural network model, identifying the fault type of the electromechanical equipment of the expressway, and making a corresponding solving strategy according to the identified fault type;
step S403: and finding out the reason for the reduction of the service life of the equipment by combining the fault type of the electromechanical equipment of the expressway and the environmental factors, and providing corresponding improvement measures.
Specifically, the neural network model in step S402 is as follows: a bi-directional GRU neural network.
A highway electromechanical device life analysis system, comprising:
the system comprises a highway electromechanical device data acquisition module, a highway electromechanical device data preprocessing module, a curve drawing module and a life analysis module;
the data acquisition module of the highway electromechanical equipment is used for acquiring fault and accident records, maintenance and maintenance records, equipment operation environment data and equipment operation data of the highway electromechanical equipment;
the data preprocessing module of the expressway electromechanical equipment is used for cleaning the expressway electromechanical equipment data, processing abnormal values and correcting missing values;
the curve drawing module is used for drawing a fault rate curve and a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway;
the life analysis module is used for carrying out life analysis, predicting the residual life, identifying the fault type by utilizing the bidirectional GRU neural network, finding out the reason causing the service life of the equipment to be reduced, and providing corresponding improvement measures.
Specifically, the curve drawing module includes: a failure rate curve drawing unit and a reliability curve drawing unit;
the fault rate curve drawing unit is used for drawing a fault rate curve according to the obtained data related to the service life of the electromechanical equipment of the expressway;
the reliability curve drawing unit is used for drawing a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway.
Specifically, the life analysis module includes: the device comprises a residual life prediction unit, a fault identification and classification unit and a measure unit;
the residual life prediction unit is used for predicting the residual life of the highway electromechanical equipment;
the fault identification and classification unit is used for identifying and classifying fault types of the highway electromechanical equipment;
the measure unit is used for pertinently preparing the improvement measure according to the identified fault type.
An electronic device comprising a memory storing a computer program and a processor implementing the steps of a method for life analysis of an electromechanical device of a highway when the processor executes the computer program.
A computer readable storage medium having stored thereon computer instructions which when executed perform the steps of a method for life analysis of an electromechanical device of a highway.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides a life analysis system of electromechanical equipment of a highway, which is optimized and improved in terms of architecture, operation steps and flow, and has the advantages of simple flow, low investment and operation cost and low production and working costs.
2. The invention provides a life analysis method of expressway electromechanical equipment, which is characterized by collecting data related to the life of the expressway electromechanical equipment, preprocessing the collected data related to the life of the expressway electromechanical equipment, drawing a fault rate curve and a reliability curve to describe equipment life characteristics according to the obtained data related to the life of the expressway electromechanical equipment, carrying out life analysis, predicting the life of the expressway electromechanical equipment according to a life analysis result, carrying out fault analysis according to an analysis result of the life of the expressway electromechanical equipment, finding out a reason causing the life reduction of the equipment, providing corresponding improvement measures, analyzing the life of the expressway electromechanical equipment by combining the fault rate, the reliability and the environmental factors of the expressway electromechanical equipment, and conveniently grasping the running condition of the whole system by evaluating the life of the expressway electromechanical equipment, providing data support for the operation, maintenance and replacement decision of the expressway electromechanical system, and having strong engineering application value.
3. The invention provides a life analysis method of electromechanical equipment of a highway, which follows the principles of comprehensiveness, operability, scientificity and the like, and effectively improves the service performance of the electromechanical equipment, thereby ensuring the normal operation of the highway and realizing the programmed and standardized management of the use process of the electromechanical equipment of the highway.
Drawings
FIG. 1 is a flow chart of a method for analyzing the life of an electromechanical device on a highway according to the present invention;
FIG. 2 is a graph of reliability curves of a life analysis method of an electromechanical device of an expressway according to the present invention;
FIG. 3 is a graph of failure rate of a method for analyzing life of an electromechanical device of an expressway according to the present invention;
FIG. 4 is a schematic diagram of a life analysis system for highway machinery;
fig. 5 is an electronic device diagram of a life analysis method of an electromechanical device of an expressway according to the present invention.
Detailed Description
In order that the technical means, the creation characteristics, the achievement of the objects and the effects of the present invention may be easily understood, it should be noted that in the description of the present invention, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements to be referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "a", "an", "the" and "the" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The invention is further described below in conjunction with the detailed description.
Example 1
Referring to fig. 1-3, an embodiment of the present invention is provided:
a life analysis method of highway electromechanical equipment comprises the following steps:
step S1: collecting data related to the life of the highway electromechanical device;
step S2: preprocessing the collected data related to the service life of the electromechanical equipment of the expressway;
step S3: drawing a fault rate curve and a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway to describe the service life characteristics of the equipment;
step S4: and carrying out life analysis, predicting the residual life of the electromechanical equipment of the highway according to a life analysis result, carrying out fault type identification, finding out the reason for reducing the life of the equipment, and providing corresponding improvement measures.
The data related to the life of the electromechanical device of the highway in step S1 includes: fault and accident records, repair and maintenance records, equipment operating environment data and equipment operating data.
The preprocessing in step S2 includes: data cleaning, abnormal value processing and missing value correction.
The specific steps of the step S3 are as follows:
step S301: classifying the expressway electromechanical equipment according to expressway electromechanical systems, setting the set of the expressway electromechanical systems as N,wherein n is m Representing an mth highway machine electronic system; />Indicating that the mth highway machine electronic system comprises o m Highway electromechanical device->Represents the 1 st highway machine electronic system (o) 1 A highway electromechanical device;
step S302: setting the reliability of electromechanical equipment of the mth expressway electromechanical system ast represents the t day, the reliability of the electromechanical system of the mth highway is +.> Wherein, pi represents a cumulative function, and the reliability calculation formula of the electromechanical system of the expressway is as follows:
wherein K is m (t) represents the reliability of the highway electromechanical system;
step S303: calculating the failure rate of the mechanical and electrical equipment of the expressway on the t-th dayThe calculation formula is as follows:
wherein g (t) represents the number of failures occurring on the t-th day, and S (t) represents the time of use on the t-th day;
step S304: and drawing a fault rate curve and a reliability curve by taking the time t as an abscissa and the reliability of the electromechanical system of the expressway and the fault rate of the electromechanical equipment of the expressway as ordinate respectively.
The failure rate curve of the electromechanical device presents a shape with two high ends and a low middle part, and corresponds to three different stages respectively: early failure, sporadic failure and loss failure. The early failure period is caused by the problems of unreasonable equipment purchase, irregular design, manufacture and assembly processes, improper use method and the like, so that the early failure rate of the equipment is higher, and the time of the early failure period can be shortened by strengthening measures such as quality screening, running-in advance, real-time monitoring of element characteristics and the like. The occasional failure period is also called a random failure period, the equipment failure rate generally tends to be stable and kept unchanged for a long time, the failure mechanism of the product at the stage is random, the failure reason is also caused by unpredictable accidental factors, the aging caused by long-time loss of the equipment is possible, and the functional indexes exceeding the design limit are also possible to be caused by improper use and maintenance, material product defects, bad running environment and the like. The loss fault period appears in the later stage of equipment life, and the failure cause is mainly wearing and tearing and ageing etc. of equipment, and the effective extension equipment loss time of failure of means that can be through preventive maintenance simultaneously through accurate prediction equipment remaining life, in time scrappes the updating and is close to the components and parts of loss fault period, can exert electromechanical device's use value to the maximum extent.
The specific steps of the step S4 are as follows:
step S401: the method comprises the following steps of predicting and calculating the residual life of the electromechanical equipment of the expressway, wherein the calculation formula is as follows:
wherein SM (t) represents an electromechanical device for a highwaySM denotes the remaining life of the highway electromechanical deviceDesign lifetime of->Express highway electromechanical device->Is the environmental impact factor, t pmin Express highway electromechanical device->A time period when the failure rate of (2) reaches 100%;
step S402: inputting the fault data of the electromechanical equipment of the expressway into a trained neural network model, identifying the fault type of the electromechanical equipment of the expressway, and making a corresponding solving strategy according to the identified fault type;
step S403: and finding out the reason for the reduction of the service life of the equipment by combining the fault type of the electromechanical equipment of the expressway and the environmental factors, and providing corresponding improvement measures.
Environmental factor influence: 1) The influence of temperature on electromechanical equipment, with the continuous application of computer technology and communication technology, has higher requirements on environmental temperature. If the temperature of the application system of the equipment is higher, the poor heat dissipation of the system can occur, and the working condition of the equipment is directly affected to a certain extent. The temperature has a relatively obvious effect on the CPU and the storage battery. If the CPU is in a high-temperature environment, the heat dissipation of the CPU has a certain problem, the working performance and stability of the CPU are directly influenced, and even the automatic shutdown condition can occur. And secondly, the service life of the storage battery is directly reduced if the temperature is too high. The electromechanical equipment comprises a plurality of semiconductor devices in the operation process, and because larger heat is generated in the working process, if effective measures are not taken to timely spread the heat, equipment aging easily occurs in the sequential accumulation process, and then system faults occur; 2) The influence of humidity on electromechanical equipment, if equipment humidity is bigger, the circuit insulating properties in the electronic equipment is easy to gradually decline, and then the abnormal condition of circuit work appears. Because the high-voltage circuit of the display is greatly influenced by the ambient humidity, abnormal conditions or conditions of darkening brightness exist, when the humidity is too high, oxidation, rust and corrosion can occur on a connector, a lead wire of an integrated circuit and the like, and the application effect of the circuit is directly damaged.
Corresponding improvement measures are as follows: 1) The novel application system is developed, a large-scale host and a terminal operating system are combined, the systems such as an operating program, an application mode, data management and the like are uniformly managed according to the existing architecture, the systems are connected with the host, and a C/S client server mode is adopted, so that the system is a data and software sharing technology between a client and a server. The server plays a role in stress demand, and under the influence of the architecture form, a plurality of application programs are all carried out on the client, so that the processing time is shorter, and the application performance of the system is more perfect; 2) Knowing the correct maintenance method requires in practice to know the correct maintenance method in order to improve the application effect of the electromechanical device, since the road system is easily affected by external factors. Especially, the external field equipment is influenced by environmental factors and climate factors for a long time, and is easy to age, so that workers are required to know the application conditions of different kinds of equipment, and timely maintenance is carried out on the equipment according to actual conditions. The daily maintenance of the electromechanical equipment is enhanced, the application effect of the electromechanical equipment can be effectively improved, the occurrence probability of faults can be reduced, the service life of the electromechanical equipment is prolonged, and the electromechanical equipment is in a good state; 3) The method is clear, the nonstandard operation is a main problem existing in the current application process of highway equipment, and in practice, the quality of operators is improved, so that the operators grasp relevant key points of the operation, including working principles, composition structures, operation methods and the like. For example, when controlling a computer, other network safety hazards must be removed in time, and the computer hardware system is forbidden to be touched. In addition, only the staff with access rights has the right to operate, the situation of out-of-order investigation cannot be obtained in the application process, and if illegal invasion exists, the security of a computer application system can be directly influenced.
The neural network model in step S402 is: a bi-directional GRU neural network.
Example 2
Referring to fig. 4, another embodiment of the present invention is provided: a highway electromechanical device life analysis system, comprising:
the system comprises a highway electromechanical device data acquisition module, a highway electromechanical device data preprocessing module, a curve drawing module and a life analysis module;
the data acquisition module of the highway electromechanical equipment is used for acquiring fault and accident records, maintenance and maintenance records, equipment operation environment data and equipment operation data of the highway electromechanical equipment;
the data preprocessing module of the expressway electromechanical equipment is used for cleaning the expressway electromechanical equipment data, processing abnormal values and correcting missing values;
the curve drawing module is used for drawing a fault rate curve and a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway;
the life analysis module is used for carrying out life analysis, predicting the residual life, identifying the fault type by utilizing the bidirectional GRU neural network, finding out the reason causing the service life of the equipment to be reduced, and providing corresponding improvement measures.
The curve drawing module comprises: a failure rate curve drawing unit and a reliability curve drawing unit;
the fault rate curve drawing unit is used for drawing a fault rate curve according to the obtained data related to the service life of the electromechanical equipment of the expressway;
the reliability curve drawing unit is used for drawing a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway.
The life analysis module includes: the device comprises a residual life prediction unit, a fault identification and classification unit and a measure unit;
the residual life prediction unit is used for predicting the residual life of the highway electromechanical equipment;
the fault identification and classification unit is used for identifying and classifying fault types of the highway electromechanical equipment;
the measure unit is used for pertinently preparing the improvement measure according to the identified fault type.
The highway tunnel electromechanical system includes: the system comprises traffic control equipment, power supply and distribution equipment, lighting equipment, ventilation equipment, monitoring equipment and fire and rescue equipment, wherein the traffic control equipment comprises a vehicle detector, a lane barrier machine, traffic signal lamps and the like, the vehicle detector can be used for acquiring various traffic parameters, providing data support for a traffic guidance and control scheme, and realizing a highway tunnel traffic control function through the lane barrier machine, a lane indicator, a regional traffic controller and other control equipment according to the traffic control scheme and a tunnel operation working condition mode; the power supply and distribution equipment comprises a conventional power supply, an emergency power supply, a distribution box and the like, a large number of UPS emergency power supplies are distributed in a tunnel in order to cope with the situation that a tunnel power system breaks down in an emergency situation, and an emergency lithium battery pack or an automatic generator set can be combined as required according to the equipment power supply requirement to serve as an auxiliary power supply means when the system breaks down; the illumination equipment comprises an illumination lamp, a brightness detector, illumination control equipment and the like, the brightness detector performs data acquisition on illumination of different areas inside and outside the tunnel, the illumination control equipment performs automatic control and adjusts the brightness of the illumination lamp according to the detected actual brightness, and on the premise of guaranteeing basic illumination conditions of the tunnel, energy sources are saved to the greatest extent, and the operation cost of the highway tunnel is reduced; the ventilation equipment comprises a fan, ventilation detection equipment, ventilation control equipment and the like; the monitoring equipment comprises a television camera, video transmission equipment and central control room equipment, and for a longer tunnel, in order to ensure the continuity of monitoring images and the quality of video images, a full-coverage fixed camera and an optical cable are adopted for transmitting signals; the fire-fighting and rescue equipment comprises a fire detector, a fire extinguisher, a water pump, a fire hydrant, a fire-fighting water supply pipeline, an emergency telephone broadcast and the like.
Example 3
Referring to fig. 5, an electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements steps of a method for analyzing life of an electromechanical device of a highway when executing the computer program.
A computer readable storage medium having stored thereon computer instructions which when executed perform the steps of a method for life analysis of an electromechanical device of a highway.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
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.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are all within the protection of the present invention.
Claims (9)
1. The life analysis method of the electromechanical equipment of the expressway is characterized by comprising the following steps of:
step S1: collecting data related to the life of the highway electromechanical device;
step S2: preprocessing the collected data related to the service life of the electromechanical equipment of the expressway;
step S3: drawing a fault rate curve and a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway to describe the service life characteristics of the equipment;
step S4: carrying out life analysis, predicting the residual life of the electromechanical equipment of the expressway according to a life analysis result, carrying out fault type identification, finding out the reason for reducing the life of the equipment, and providing corresponding improvement measures;
the specific steps of the step S3 are as follows:
step S301: for a pair ofThe highway electromechanical devices are classified according to the highway electromechanical systems, the highway electromechanical systems are set as N,wherein n is m Representing an mth highway machine electronic system; />Indicating that the mth highway machine electronic system comprises o m Highway electromechanical device->Represents the 1 st highway machine electronic system (o) 1 A highway electromechanical device;
step S302: setting the reliability of electromechanical equipment of the mth expressway electromechanical system ast represents the t day, the reliability of the electromechanical system of the mth highway is +.> Wherein, pi represents a cumulative function, and the reliability calculation formula of the electromechanical system of the expressway is as follows:
wherein K is m (t) represents the reliability of the highway electromechanical system;
step S303: calculating the failure rate of the mechanical and electrical equipment of the expressway on the t-th dayThe calculation formula is as follows:
wherein g (t) represents the number of failures occurring on the t-th day, and S (t) represents the time of use on the t-th day;
step S304: taking time t as an abscissa, and drawing a fault rate curve and a reliability curve by taking the reliability of the electromechanical system of the expressway and the fault rate of the electromechanical equipment of the expressway as ordinate respectively;
the specific steps of the step S4 are as follows:
step S401: the method comprises the following steps of predicting and calculating the residual life of the electromechanical equipment of the expressway, wherein the calculation formula is as follows:
wherein SM (t) represents an electromechanical device for a highwaySM means highway electromechanical device +.>Design lifetime of->Express highway electromechanical device->Is the environmental impact factor, t pmin Representing highway electromechanical equipmentA time period when the failure rate of (2) reaches 100%;
step S402: inputting the fault data of the electromechanical equipment of the expressway into a trained neural network model, identifying the fault type of the electromechanical equipment of the expressway, and making a corresponding solving strategy according to the identified fault type;
step S403: and finding out the reason for the reduction of the service life of the equipment by combining the fault type of the electromechanical equipment of the expressway and the environmental factors, and providing corresponding improvement measures.
2. The method for analyzing life of an electromechanical device of an expressway according to claim 1, wherein said data related to life of an electromechanical device of an expressway in step S1 includes: fault and accident records, repair and maintenance records, equipment operating environment data and equipment operating data.
3. The method for analyzing the life of the electromechanical equipment of the highway according to claim 2, wherein the preprocessing in the step S2 includes: data cleaning, abnormal value processing and missing value correction.
4. A method for analyzing the lifetime of an electromechanical device of an expressway according to claim 3, wherein the neural network model in step S402 is as follows: a bi-directional GRU neural network.
5. A life analysis system for an expressway electro-mechanical device, which is implemented based on the life analysis method for an expressway electro-mechanical device according to any one of claims 1 to 4, comprising:
the system comprises a highway electromechanical device data acquisition module, a highway electromechanical device data preprocessing module, a curve drawing module and a life analysis module;
the data acquisition module of the highway electromechanical equipment is used for acquiring fault and accident records, maintenance and maintenance records, equipment operation environment data and equipment operation data of the highway electromechanical equipment;
the data preprocessing module of the expressway electromechanical equipment is used for cleaning the expressway electromechanical equipment data, processing abnormal values and correcting missing values;
the curve drawing module is used for drawing a fault rate curve and a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway;
the life analysis module is used for carrying out life analysis, predicting the residual life, identifying the fault type by utilizing the bidirectional GRU neural network, finding out the reason causing the service life of the equipment to be reduced, and providing corresponding improvement measures.
6. The system for analyzing life of an electromechanical device on an expressway according to claim 5, wherein said curve drawing means includes: a failure rate curve drawing unit and a reliability curve drawing unit;
the fault rate curve drawing unit is used for drawing a fault rate curve according to the obtained data related to the service life of the electromechanical equipment of the expressway;
the reliability curve drawing unit is used for drawing a reliability curve according to the obtained data related to the service life of the electromechanical equipment of the expressway.
7. The highway electromechanical device life analysis system of claim 6, wherein said life analysis module comprises: the device comprises a residual life prediction unit, a fault identification and classification unit and a measure unit;
the residual life prediction unit is used for predicting the residual life of the highway electromechanical equipment;
the fault identification and classification unit is used for identifying and classifying fault types of the highway electromechanical equipment;
the measure unit is used for pertinently preparing the improvement measure according to the identified fault type.
8. An electronic device comprising a memory and a processor, said memory storing a computer program, characterized in that the processor, when executing said computer program, carries out the steps of a method for life analysis of an electromechanical device of a highway according to any one of claims 1 to 4.
9. A computer readable storage medium having stored thereon computer instructions which when run perform the steps of a method of life analysis of an electromechanical device of an expressway as claimed in any one of claims 1-4.
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