CN204027820U - Air conditioning for automobiles fault detection system - Google Patents
Air conditioning for automobiles fault detection system Download PDFInfo
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- CN204027820U CN204027820U CN201420484309.8U CN201420484309U CN204027820U CN 204027820 U CN204027820 U CN 204027820U CN 201420484309 U CN201420484309 U CN 201420484309U CN 204027820 U CN204027820 U CN 204027820U
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Abstract
The utility model relates to a kind of air conditioning for automobiles fault detection system, belong to automobile detection field, this system comprises: the signal gathering unit gathering the supplemental characteristic of the inner each joint of air conditioning for automobiles, processor and Vehicular display device, processor adopts particle group optimizing Method Using Relevance Vector Machine model to carry out Treatment Analysis to supplemental characteristic.The signal gathering unit applying vibration transducer and air flow sensor composition in the utility model is carried out monitoring running state to the joint of air conditioning for automobiles inside in real time and is sent alarm signal, timely prompting human pilot carries out maintenance and inspection to air-conditioning, avoids the further damage of air-conditioning.Processor simultaneously in the utility model uses particle group optimizing Method Using Relevance Vector Machine model to data analysis process to be measured, utilize model treatment data, carry out Data Comparison and analysis, increase the accuracy rate of testing result, reduce the generation of false alarm situation, solving that air conditioning for automobiles in prior art leaks can not the problem of Timeliness coverage.
Description
Technical field
The utility model relates to automobile detection field, particularly a kind of air conditioning for automobiles fault detection system.
Background technology
Air conditioning for automobiles is arranged on the vehicle of traveling, subject and acutely vibrate frequently and impact, therefore air-conditioning joint easily loosens and leaks, not only affect the refrigeration of air-conditioning, also can increase energy consumption, serious meeting damages the parts such as the compressor of refrigeration system, if keep in repair not in time, the further damage of air-conditioning can be caused, strengthen the maintenance cost in later stage.When leakage failure appears in existing air conditioning for automobiles, user of service is not easy to discover, and needs professional person to check air-conditioning and could find failure problems after overhauling, and gets rid of fault, and this model machine has influence on the use of air-conditioning.
Summary of the invention
Can not the problem of Timeliness coverage in order to solve that air conditioning for automobiles in prior art leaks, the utility model provides a kind of air conditioning for automobiles fault detection system.
The technical solution of the utility model is: a kind of air conditioning for automobiles fault detection system, and this system comprises:
Signal gathering unit, gathers the supplemental characteristic of the inner each joint of air conditioning for automobiles;
Processor, connection signal collecting unit, and the supplemental characteristic that Received signal strength collecting unit sends;
Vehicular display device is the display being positioned at automotive interior, connection handling device, the testing result that video-stream processor sends.
Described signal gathering unit comprise the vibration signal parameter for detecting the inner each interface position of air conditioning for automobiles vibration transducer and for detecting the annular air flow sensor around air conditioning for automobiles internal connection.
Described processor adopts particle group optimizing Method Using Relevance Vector Machine model to carry out Treatment Analysis to supplemental characteristic.Be provided with database in described processor, database preserves real time data and the historical data of signal gathering unit collection.The display data result of Vehicular display device is also preserved in described database.
The utility model has following good effect: the signal gathering unit applying vibration transducer and air flow sensor composition in the utility model carries out monitoring running state to the joint of air conditioning for automobiles inside in real time, once joint will change the air-flow of refrigrant leakage formation simultaneously because loosen vibration frequency, the data that processor detects according to air flow sensor and vibration transducer will send alarm signal, timely prompting human pilot carries out maintenance and inspection to air-conditioning, avoids the further damage of air-conditioning.Processor simultaneously in the utility model uses particle group optimizing Method Using Relevance Vector Machine model to data analysis process to be measured, utilize model treatment data, carry out Data Comparison and analysis, increase the accuracy rate of testing result, reduce the generation of false alarm situation, facilitate checking and keeping in repair of staff.
Accompanying drawing explanation
Fig. 1 is the work block diagram of air conditioning for automobiles fault detection system in the utility model;
Fig. 2 is the workflow diagram of air conditioning for automobiles fault detection method in the utility model;
Fig. 3 is the workflow diagram of particle group optimizing Method Using Relevance Vector Machine model in the utility model;
Fig. 4 is the work structuring figure of air conditioning for automobiles fault detection method in the utility model.
Embodiment
Contrast accompanying drawing below, by the description to embodiment, embodiment of the present utility model is as the effect of the mutual alignment between the shape of involved each component, structure, each several part and annexation, each several part and principle of work, manufacturing process and operation using method etc., be described in further detail, have more complete, accurate and deep understanding to help those skilled in the art to inventive concept of the present utility model, technical scheme.
A kind of air conditioning for automobiles fault detection system, as shown in Figure 1, this system comprises: signal gathering unit, processor and display, processor connection signal collecting unit and display.
Signal gathering unit, for gathering the supplemental characteristic of the inner each joint of air conditioning for automobiles.Involving vibrations sensor and air flow sensor in signal gathering unit, vibration transducer is for detecting the vibration signal parameter at the inner each interface position of air conditioning for automobiles, air flow sensor is for detecting around air conditioning for automobiles internal connection whether have air-flow, and it is more accurate that air flow sensor adopts annular air flow sensor solderless wrapped connection first week to detect.Vibration transducer can detect the Vibration Condition of air conditioning for automobiles, and when joint looseness, joint vibration accelerates, and sensor detects data and undergos mutation, and in addition, when gas leakage delivered to by joint, cold-producing medium can leak formation air-flow, and air flow sensor will detect that air quantity changes.
Processor, the supplemental characteristic that connection signal collecting unit Received signal strength collecting unit send, particle group optimizing Method Using Relevance Vector Machine model is utilized to carry out Treatment Analysis to the supplemental characteristic detected after receiving data, utilize particle group optimizing Method Using Relevance Vector Machine model treatment data, carry out Data Comparison and analysis, increase the accuracy rate of testing result, reduce the generation of false alarm situation, facilitate checking and keeping in repair of staff.
Display is the Vehicular display device of automotive interior, connection handling device, the testing result that video-stream processor sends, and when air conditioning for automobiles breaks down, reminds human pilot to carry out maintenance and inspection to air-conditioning in time, avoids the further damage of air-conditioning.
A kind of air conditioning for automobiles fault detection method, as shown in Figure 2, the method step comprises:
S01 step one, set up air conditioning for automobiles parameter database, line number of going forward side by side Data preprocess.
Air conditioning for automobiles parameter database is that air conditioning for automobiles dispatches from the factory supplemental characteristic, includes the data under the normal condition of the signal gathering unit acquisition testing in system simultaneously, for the machine training of particle group optimizing Method Using Relevance Vector Machine model below provides data.
Data prediction is normalized data, and normalization can accelerate the convergence of training network, and normalized concrete effect is the statistical distribution concluding unified samples.No matter be in order to modeling or in order to calculate, first basic measuring unit is same, genetic algorithm be with the statistics of sample in event respectively probability carry out training and predicting, normalization is same statistical probability distribution between 0-1; RVM classifies with linear partition distance after dimensionality reduction and emulates, and therefore the normalization of space-time dimensionality reduction is the statistics coordinate distribution be unified between-1--+1.
S02 step 2, set up RVM model, utilize particle cluster algorithm optimization to train Method Using Relevance Vector Machine (being called for short RVM) model parameter.
Set up RVM(relevance vector machine, i.e. Method Using Relevance Vector Machine) first model select suitable function, and particle group optimizing training is carried out to its hyper parameter, set up suitable RVM model, particle cluster algorithm optimization is utilized to train RVM model parameter, allow model more easily restrain, arithmetic speed is faster.When setting up RVM model, first utilize sample database to carry out particle cluster algorithm optimization and train successful Modling model, the foundation of sample database preserve when air conditioning for automobiles dispatches from the factory and normal condition time detect preserve.
RVM kernel function conventional during the selection of kernel function has 4 kinds:
Linear kernel function:
K( x，z) = x·z (1)
Polynomial kernel function:
K( x，z) = [ s( x·z) + c] q (2)
Gaussian radial basis function (RBF) kernel function:
K( x，z ) = exp( － λ ‖x － z‖2 ) (3)
Sigmoid kernel function:
K (x，z) = tanh［s( x·z) + c］ (4)
Select suitable kernel function to be the key that the method can successfully use, trained by testing authentication, more respective Generalization Capability, select RBF kernel function as the RVM model of fault diagnosis herein.
Particle swarm optimization algorithm (particle swarm optimization, PSO) is a kind of optimizing algorithm based on iteration ［ 8 ］ proposed first in 1995 by Kennedy and Eberhart.This algorithm is the simulation to flock of birds social action, PSO algorithm and genetic algorithm similar, be a kind of optimized algorithm based on colony (population), each particle is by carrying out information interaction with other particles, adjust the Evolutionary direction of oneself, and avoid being absorbed in local optimum; Meanwhile, PSO algorithm adopts the random searching strategy being different from genetic algorithm, operates than genetic algorithm easy too much, therefore demonstrates more remarkable performance when solving some optimization problem.
Utilize the Lagrange multiplier in particle swarm optimization algorithm optimization Method Using Relevance Vector Machine herein, by utilizing particle cluster algorithm (particle swarm optimization, PSO) optimal value that this vector of Lagrange multiplier meets each component of constraint condition in RVM is found, make the spacing distance between two classification maximum, thus construct optimal hyperlane.During initialization population, should constantly judge until the random initial value of each particle meets the constraint condition in optimized Method Using Relevance Vector Machine.Each component of each particle a is by self study and learn to other particles, constantly updates self speed and position, reaches global optimum.
The step of particle cluster algorithm is:
A. initialization population: the scale determining population, initial position and speed, according to the value of constraint condition to each particle initialization Lagrange factor a;
B. the target function value of each particle is calculated, i.e. the value of wanted majorized function;
C. the position local optimum Pbest and global optimum Gbest of each particle a is upgraded;
D. flying speed and the position of each particle a is upgraded;
E. judge whether data reach RVM model criteria, and the standard of reaching jumps out circulation, and calculate related coefficient, otherwise the step B returned, until meet the number of times of iteration;
F. the value of optimum a is returned, and by optimized Parameter transfer to RVM model.
The RVM model obtained after hyperparameter optimization training, namely can be used for classification and the process of data.PSO to the parameter optimisation procedure of RVM algorithm as shown in Figure 3.
In RVM algorithm, the classification accuracy of selection to RVM algorithm of hyper parameter plays conclusive effect, in the past conventional parameter optimization method many employings people is for enumerating the mode such as optimizing, cross validation parameters, but this class methods required time is long, also there is the problem being easily absorbed in local optimum simultaneously.Particle cluster algorithm is a kind of global optimizing algorithm efficiently, and the parameter optimization that can be used for machine learning algorithm is arranged.Adopt the hyper parameter of PSO algorithm optimization RVM algorithm to arrange herein, thus set up the machine mould of fault detect.
S03 step 3, employing Method Using Relevance Vector Machine model carry out diagnostic analysis to testing data.First machine training is carried out to model before model analysis testing data, namely the Method Using Relevance Vector Machine model of database to particle group optimizing set up in step one is utilized to carry out machine training, under the data of normal steady state, the differentiation of fault mode and the normal use of model can be ensured.After machine training, model just can carry out diagnostic analysis to testing data, and testing data refers to the supplemental characteristic that the vibration transducer of monitoring air conditioning for automobiles each connector status and air flow sensor detect.Vibration transducer is for detecting the vibration signal parameter at the inner each interface position of air conditioning for automobiles, and annular air flow sensor, for detecting around air conditioning for automobiles internal connection whether have air-flow, adopts annular air flow sensor solderless wrapped connection first week to detect more accurate.Vibration transducer can detect the Vibration Condition of air conditioning for automobiles, and when joint looseness, joint vibration accelerates, and sensor detects data and undergos mutation, and in addition, when gas leakage delivered to by joint, cold-producing medium can leak formation air-flow, and air flow sensor will detect that air quantity changes.Model is greater than default threshold value once contrast the detection data received, and processor will send alarm signal.
S04 step 4, output diagnostic result.When the data vibration data that vibration transducer detects is abnormal, joint abnormal vibration is described, likely joint looseness, processor receives abnormal vibration data will send alarm signal to Vehicular display device.In addition, when joint looseness or the gas leakage of air-conditioning inside, air-flow will be formed, the data that air flow sensor detects just there will be exception, processor also can send alarm signal according to the exception of air flow sensor and remind human pilot check air conditioning for automobiles in time or ask professional person to check to Vehicular display device, avoids air conditioning for automobiles further to damage.
S05 step 5, diagnostic result and supplemental characteristic are stored in database.Many times air conditioning for automobiles is in normal operating condition, but along with the growth of automobile tenure of use, systemic-function all decreases, and the threshold value of default also should upgrade thereupon.So, when diagnostic result be normal condition there is no a fault time, corresponding sensing data will be preserved in a database, supplemental characteristic under malfunction and result also can stored in databases, conveniently call and Data Comparison, reach the object of known more new database, systems axiol-ogy accuracy is higher, and detection system is more practical.
By reference to the accompanying drawings the utility model is exemplarily described above; obvious the utility model specific implementation is not subject to the restrictions described above; as long as have employed the improvement of the various unsubstantialities that method of the present utility model is conceived and technical scheme is carried out; or design of the present utility model and technical scheme directly applied to other occasion, all within protection domain of the present utility model without to improve.
Claims (5)
1. an air conditioning for automobiles fault detection system, is characterized in that, this system comprises:
Signal gathering unit, gathers the supplemental characteristic of the inner each joint of air conditioning for automobiles;
Processor, connection signal collecting unit, and the supplemental characteristic that Received signal strength collecting unit sends;
Vehicular display device is the display being positioned at automotive interior, connection handling device, the testing result that video-stream processor sends.
2. air conditioning for automobiles fault detection system according to claim 1, it is characterized in that, described signal gathering unit comprise the vibration signal parameter for detecting the inner each interface position of air conditioning for automobiles vibration transducer and for detecting the annular air flow sensor around air conditioning for automobiles internal connection.
3. air conditioning for automobiles fault detection system according to claim 1, is characterized in that, described processor adopts particle group optimizing Method Using Relevance Vector Machine model to carry out Treatment Analysis to supplemental characteristic.
4. air conditioning for automobiles fault detection system according to claim 1, is characterized in that, is provided with database in described processor, and database preserves real time data and the historical data of signal gathering unit collection.
5. air conditioning for automobiles fault detection system according to claim 1, is characterized in that, also preserves the display data result of Vehicular display device in described database.
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| CN201420484309.8U CN204027820U (en) | 2014-08-26 | 2014-08-26 | Air conditioning for automobiles fault detection system |
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| CN201420484309.8U CN204027820U (en) | 2014-08-26 | 2014-08-26 | Air conditioning for automobiles fault detection system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104697765A (en) * | 2014-08-26 | 2015-06-10 | 安徽工程大学 | Method and system for detecting faults of automotive air conditioner |
| CN104808649A (en) * | 2015-03-13 | 2015-07-29 | 芜湖凯博实业股份有限公司 | Cooling tower blower monitoring system and method |
| CN110135121A (en) * | 2019-06-13 | 2019-08-16 | 中国人民解放军海军航空大学 | A kind of method for diagnosing faults based on Lagrange-population more new algorithm |
-
2014
- 2014-08-26 CN CN201420484309.8U patent/CN204027820U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104697765A (en) * | 2014-08-26 | 2015-06-10 | 安徽工程大学 | Method and system for detecting faults of automotive air conditioner |
| CN104697765B (en) * | 2014-08-26 | 2017-12-26 | 安徽工程大学 | Air conditioning for automobiles fault detection system and method |
| CN104808649A (en) * | 2015-03-13 | 2015-07-29 | 芜湖凯博实业股份有限公司 | Cooling tower blower monitoring system and method |
| CN110135121A (en) * | 2019-06-13 | 2019-08-16 | 中国人民解放军海军航空大学 | A kind of method for diagnosing faults based on Lagrange-population more new algorithm |
| CN110135121B (en) * | 2019-06-13 | 2023-04-18 | 中国人民解放军海军航空大学 | Fault diagnosis method based on Lagrange-particle swarm update algorithm |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20141217 Termination date: 20150826 |
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