CN112834729A - Hydraulic oil quality monitoring method, device and system - Google Patents
Hydraulic oil quality monitoring method, device and system Download PDFInfo
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Abstract
The invention provides a hydraulic oil quality monitoring method, a device and a system, belonging to the technical field of hydraulic oil monitoring, wherein the hydraulic oil quality monitoring method comprises the steps of obtaining hydraulic oil samples of equipment under different working conditions and different environments, performing data association on quality evaluation indexes of the detected hydraulic oil samples and working condition information and environment information of the current equipment, and storing the data association into a database; establishing a characteristic model of hydraulic oil quality evaluation index change; and matching the quality evaluation index of the target hydraulic oil, the working condition information and the environmental information of the current target equipment with the data stored in the characteristic model of the change of the quality evaluation index of the hydraulic oil, and judging the quality state of the target hydraulic oil according to the matching result. The method can judge the quality condition of the current hydraulic oil in real time, guarantees timeliness and effectiveness, and is more intelligent.
Description
Technical Field
The invention relates to the technical field of hydraulic oil monitoring, in particular to a method, a device and a system for monitoring the quality of hydraulic oil.
Background
The hydraulic system is widely applied to numerous fields such as engineering machinery and the like as a key technology of modern transmission and control. The hydraulic oil is used as a transmission medium of the hydraulic system, so that power can be transmitted, and the lubricating and rust-proof effects on moving parts can be achieved. Therefore, the reliability of the operation of the hydraulic system and the service life of the mechanical equipment are affected by the quality of the oil product of the hydraulic oil.
In the life cycle of the machine, normal hydraulic oil is often deteriorated and invalid due to the reasons of rainwater (emulsification), foreign matter invasion, oxidation, abrasive dust of an actuating mechanism and the like, so that the abrasion and corrosion of the machine are aggravated, and the accident risk of a hydraulic system is increased. At present, a method for replacing hydraulic oil regularly is used, namely oil replacement is carried out according to a determined period according to the structural characteristics, the operating conditions and the oil quality of a hydraulic system. However, the method is easy to cause the phenomenon that oil is maintained when oil is not changed and oil is not needed to be changed, thereby causing the waste of manpower and material resources and shortening the service life of equipment operation.
With the development of sensor technology, the on-line detection technology becomes one of the important means for monitoring the pollution of the hydraulic system, and is more and more accepted and accepted due to the real-time property and portability of the test. In the current engineering machinery industry, most of the engineering machinery industry detects mechanical hydraulic oil in various modes, and then professional technicians analyze and judge the mechanical equipment by combining working condition information and environment information according to detection data, but the methods have the following problems:
firstly, the current monitoring technology only realizes the real-time acquisition of hydraulic oil detection parameters, and cannot reflect the condition of the quality of hydraulic oil in real time.
Secondly, along with the continuous increase of engineering mechanical equipment and the continuous aggravation of the complexity of working condition environment, the timeliness and the effectiveness of monitoring the quality condition of the hydraulic oil are difficult to guarantee, and a large amount of professional technicians are needed for analysis, so that the waste of human resources is caused.
Disclosure of Invention
The invention solves the problems that the existing hydraulic oil monitoring technology only realizes the real-time acquisition of hydraulic oil detection parameters, can not reflect the quality condition of hydraulic oil in real time, is difficult to ensure the timeliness and effectiveness of the monitoring of the quality condition of the hydraulic oil, or needs a large amount of professional technicians to analyze, thereby causing at least one aspect of the waste of human resources.
In order to solve the above problems, the present invention provides a method for monitoring the quality of hydraulic oil, comprising:
acquiring hydraulic oil samples of equipment under different working conditions and different environments, wherein the hydraulic oil samples comprise standard hydraulic oil samples with normal quality and non-standard hydraulic oil samples with abnormal quality;
detecting the quality evaluation index of the hydraulic oil sample, and acquiring the type of the current hydraulic oil sample, the current working condition information and the current environmental information of the equipment;
performing data association on the quality evaluation index of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment, and storing the matched data into a database;
establishing a characteristic model of hydraulic oil quality evaluation index change;
detecting a quality evaluation index of target hydraulic oil, and acquiring working condition information and environment information of the current target equipment;
and matching the quality evaluation index of the target hydraulic oil, the current working condition information and the environmental information of the target equipment with the data stored in the characteristic model of the change of the hydraulic oil quality evaluation index, and determining the quality state of the target hydraulic oil according to the matching result.
Therefore, the quality condition of the current hydraulic oil can be judged in real time, timeliness and effectiveness of monitoring the quality condition of the hydraulic oil are guaranteed, a large amount of professional technicians are not needed for analysis, and the intelligent hydraulic oil quality monitoring system is more intelligent.
Preferably, the quality evaluation index of the hydraulic oil sample comprises a dielectric constant and/or a kinematic viscosity.
Therefore, the quality of the hydraulic oil sample can be better reflected through the dielectric constant or the kinematic viscosity.
Preferably, the operating condition information includes at least one of an operating time, a hydraulic oil temperature, a hydraulic oil pressure, an equipment operating condition, or an oil consumption.
Therefore, various working condition conditions influencing the quality of the hydraulic oil sample are acquired more comprehensively, so that the data of the subsequently established database are more comprehensive and accurate, and the reference is stronger.
Preferably, the environmental information includes an external environmental temperature and/or humidity at which the device is currently located.
Therefore, the environmental information influencing the quality of the hydraulic oil sample is acquired more comprehensively, so that the data of the subsequently established database are more comprehensive and accurate, and the reference is stronger.
Preferably, the non-standard hydraulic oil sample comprises at least one of an emulsified hydraulic oil sample, an oxidized and deteriorated hydraulic oil sample, a hydraulic oil sample containing actuator grinding dust or a hydraulic oil sample invaded by foreign matters.
Therefore, the non-standard hydraulic oil sample is divided into a plurality of types according to different influence factors of the quality evaluation indexes of the hydraulic oil, and the quality of the hydraulic oil can be judged more accurately.
Preferably, the establishing of the characteristic model of the change of the hydraulic oil quality evaluation index includes:
and establishing a characteristic model of hydraulic oil quality evaluation index change under different working conditions and different environments by utilizing a big data analysis and mining method.
Therefore, by utilizing the big data analysis and mining method, the data processing capacity is stronger, the calculation is accurate, a large amount of technicians are not needed for analysis, and the method is more intelligent.
Preferably, the big data analyzing and mining method includes at least one of a genetic algorithm, a decision tree, an association analysis method, an artificial intelligent neuron network method, a support vector machine algorithm, or a K-fold cross-validation method.
Therefore, the data processing capacity is stronger and the calculation is accurate.
Preferably, the establishing of the characteristic model of the change of the hydraulic oil quality evaluation index includes:
processing the data extracted from the database by using a K-fold cross validation method, selecting optimized parameters, and constructing an optimized support vector machine regression model; and training to obtain a characteristic model for optimizing the change of the hydraulic oil quality evaluation index.
Therefore, the support vector machine model is optimized by using a K-fold cross verification method, a characteristic model of the change of the hydraulic oil quality evaluation index is obtained, the speed is high, and the calculation is accurate.
Compared with the prior art, the hydraulic oil quality monitoring method provided by the invention has the advantages that the quality evaluation indexes of hydraulic oil samples under different working conditions and different environments are collected and correlated with the working condition information and the environment information, the quality evaluation index database when the hydraulic oil is normal and abnormal is established, the characteristic model of the change of the dielectric constant of the hydraulic oil is established according to the database data, the cause of the change of the dielectric constant of the hydraulic oil is efficiently analyzed, meanwhile, the quality evaluation index of the target hydraulic oil is correlated with the working condition information and the environment information of corresponding equipment, the quality evaluation index in the database, the working condition information and the environment information of the current target equipment are matched and compared with the data stored in the database, the quality condition of the current hydraulic oil is judged in real time, and the timeliness and the effectiveness of monitoring the quality condition of the hydraulic oil are guaranteed, and a large amount of professional technicians are not needed for analysis, so that the intelligent analysis system is more intelligent.
In order to solve the above technical problem, the present invention further provides a hydraulic oil quality monitoring device, including:
a detection unit for detecting the position of the optical fiber,
the detection unit is used for detecting the quality evaluation index of the target hydraulic oil and the quality evaluation index of the hydraulic oil sample;
the detection unit is also used for detecting the type of the current hydraulic oil sample, the current working condition information and the current environmental information of the equipment;
the detection unit is also used for detecting the current working condition information and environment information of the target equipment;
a data processing unit for processing the data received from the data processing unit,
the data processing unit is used for performing data association on the quality evaluation index of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment, and storing the matched data into a database;
the data processing unit is also used for establishing a characteristic model of the change of the hydraulic oil quality evaluation index;
the data processing unit is further used for matching the quality evaluation index of the target hydraulic oil, the current working condition information and the current environment information of the target equipment with the data stored in the characteristic model of the change of the quality evaluation index of the hydraulic oil;
a result output unit for outputting the result of the operation,
and the result output unit is used for determining the quality state of the target hydraulic oil according to the matching result.
Compared with other advantages of the prior art, the hydraulic oil quality monitoring device and the hydraulic oil quality monitoring method provided by the invention have the same advantages, and are not repeated herein.
In order to solve the technical problem, the invention further provides a hydraulic oil quality monitoring system, which comprises a computer readable storage medium storing a computer program and a processor, wherein the computer program is read by the processor and runs to realize the hydraulic oil quality monitoring method.
Compared with other advantages of the prior art, the hydraulic oil quality monitoring system and the hydraulic oil quality monitoring method provided by the invention have the same advantages, and are not repeated herein.
Drawings
Fig. 1 is a flowchart of a hydraulic oil quality monitoring method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be described in detail and clearly with reference to the accompanying drawings. In the description of embodiments of the present application, the description of the term "some embodiments" means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Throughout this specification, the schematic representations of the terms used above do not necessarily refer to the same implementation or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that in the description of the embodiments of the present application, "/" indicates an OR meaning unless otherwise stated, for example, A/B may indicate A or B; "and/or" in the text is only an association relationship describing an associated object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone.
It should be noted that, the method for monitoring the quality of hydraulic oil in this embodiment specifically relates to a method for monitoring the quality of hydraulic oil of an engineering mechanical device, and accordingly, the device in this embodiment is an engineering mechanical device, and may be any one of an excavating machine, a shovel transportation machine, an engineering hoisting machine, an industrial vehicle, a compacting machine, a road surface machine, a piling machine, and a concrete machine.
As shown in fig. 1, an embodiment of the present invention provides a method for monitoring quality of hydraulic oil, including:
acquiring hydraulic oil samples of equipment under different working conditions and different environments, wherein the hydraulic oil samples comprise standard hydraulic oil samples with normal quality and non-standard hydraulic oil samples with abnormal quality;
detecting the quality evaluation index of the hydraulic oil sample, and acquiring the current working condition information and environmental information of the equipment;
performing data matching on the quality evaluation index of the hydraulic oil sample with the current working condition information and environmental information of the equipment, and storing the matched data into a database;
establishing a characteristic model of hydraulic oil quality evaluation index change;
detecting a quality evaluation index of target hydraulic oil, and acquiring the type of the current target hydraulic oil, and the current working condition information and environment information of target equipment;
and matching the quality evaluation index of the target hydraulic oil, the type of the current target hydraulic oil, the current working condition information and the environmental information of the target equipment with the data stored in the characteristic model of the change of the hydraulic oil quality evaluation index, and determining the quality state of the target hydraulic oil according to the matching result.
Therefore, the quality condition of the current hydraulic oil can be judged in real time, timeliness and effectiveness of monitoring the quality condition of the hydraulic oil are guaranteed, a large amount of professional technicians are not needed for analysis, and the intelligent hydraulic oil quality monitoring system is more intelligent.
In this embodiment, the database includes a local database and/or a cloud database, so that the hydraulic oil quality monitoring method in this embodiment can be used in a stand-alone or online situation, and the application range of the hydraulic oil quality monitoring method is widened.
It should be noted that, in this embodiment, the target device is a device where the target hydraulic oil is located.
In this embodiment, the data association between the quality evaluation index of the hydraulic oil sample and the current operating condition information and environment information of the equipment is specifically that the quality evaluation index of the hydraulic oil sample is in one-to-one correspondence with the current operating condition information and environment information of the equipment, that is, when the quality evaluation index of the hydraulic oil sample is certain, the corresponding operating condition information and environment information are only one condition or only in a specific range interval.
In this embodiment, matching the quality evaluation index of the target hydraulic oil, the type of the current target hydraulic oil, the current operating condition information and the environmental information of the target device, and the data stored in the characteristic model of the change of the quality evaluation index of the hydraulic oil specifically includes: judging whether the quality evaluation index of the target hydraulic oil and the type of the current target hydraulic oil, the current working condition information and the environmental information of the target equipment are the same as the quality evaluation index of the hydraulic oil sample in the characteristic model of the change of the quality evaluation index of the hydraulic oil, if so, successfully matching; or judging whether the quality evaluation index of the target hydraulic oil and the type of the current target hydraulic oil, the current working condition information and the environmental information of the target equipment are in a specific range of the quality evaluation index of the hydraulic oil sample and the current working condition information and the environmental information of the equipment in the characteristic model of the change of the quality evaluation index of the hydraulic oil, if so, successfully matching.
It should be further noted that the types of the target hydraulic oil in this embodiment include a standard hydraulic oil sample and a non-standard hydraulic oil sample.
In some preferred embodiments, the non-standard hydraulic fluid sample comprises at least one of an emulsified hydraulic fluid sample, an oxidatively deteriorated hydraulic fluid sample, an actuator-containing abrasive dust hydraulic fluid sample, or a foreign object-invading hydraulic fluid sample. Therefore, the non-standard hydraulic oil sample is divided into a plurality of types according to different influence factors of the quality evaluation indexes of the hydraulic oil, and the quality of the hydraulic oil can be judged more accurately.
The main reason for emulsifying the hydraulic oil sample is that water is mixed in the hydraulic oil, when the water enters the oil pump station and contacts with the hydraulic oil, the water can be suspended in the hydraulic oil as large-cluster and large-cluster water bodies due to the mutual attraction acting force between water molecules, and the water is extruded by large pressure in the hydraulic cavity through the pumping of the motor of the oil pump station, the water clusters are rapidly decomposed into small and small water molecules which are uniformly dispersed around the hydraulic oil clusters and are oxidized and deteriorated after a certain period of time, and the hydraulic oil becomes white under the condition. The hydraulic system has four water inlet reasons, namely that water is inadvertently introduced in the storage and filling processes of hydraulic oil. Secondly, water is fed in the cleaning, oil changing and maintaining processes of the hydraulic system; thirdly, water pollution of a humid working environment; fourthly, the hydraulic system is poorly sealed to cause the entry of external moisture.
The oxidative deterioration of the hydraulic oil sample mainly comprises the following reasons: high temperature, high pressure, pollution of hydraulic oil, water contained in oil, metal catalysis and air stirring.
The hydraulic oil sample containing the grinding dust of the actuating mechanism is generated by falling iron powder generated by abrasion of a certain moving part of a hydraulic element into the hydraulic oil.
The invasion of foreign matters into the hydraulic oil sample comprises the invasion of foreign matters such as wind sand, solid particle water, moisture, dust, moisture and the like into the hydraulic system through various channels such as a piston rod and a pipeline joint of a hydraulic cylinder which stretch back and forth in a reciprocating way, oil liquid injected into the system, splashed or condensed water drops, a backflow oil tank and the like, so that the hydraulic oil is polluted. Or contaminants introduced during refueling, oil change and maintenance, or foreign matter intrusion during rough handling during maintenance of the hydraulic system.
In a specific example, when the quality evaluation index of the target hydraulic oil and the current working condition information and environment information of the target device are matched with the quality evaluation index of the standard hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index and the working condition information and environment information of the device of the standard hydraulic oil sample, the target hydraulic oil is judged to be the standard hydraulic oil.
In a specific example, when the quality evaluation index of the target hydraulic oil and the current working condition information and environment information of the target device are matched with the quality evaluation index of the non-standard hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index and the working condition information and environment information of the device of the non-standard hydraulic oil sample, and the non-standard hydraulic oil sample is oxidized and deteriorated hydraulic oil, the target hydraulic oil is judged to be oxidized and deteriorated hydraulic oil.
In a specific example, when the quality evaluation index of the target hydraulic oil, the current working condition information and the environmental information of the target device are matched with the quality evaluation index of the non-standard hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index, and the working condition information and the environmental information of the device of the non-standard hydraulic oil sample, and the non-standard hydraulic oil sample is emulsified hydraulic oil, the target hydraulic oil is judged to be emulsified hydraulic oil.
In a specific example, when the quality evaluation index of the target hydraulic oil and the current working condition information and environment information of the target device are matched with the quality evaluation index of the non-standard hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index and the working condition information and environment information of the device of the non-standard hydraulic oil sample, and the non-standard hydraulic oil sample is hydraulic oil containing the abrasive dust of the execution mechanism, the target hydraulic oil is judged to be hydraulic oil containing the abrasive dust of the execution mechanism.
In a specific example, when the quality evaluation index of the target hydraulic oil, the current working condition information and the environmental information of the target device are matched with the quality evaluation index of the non-standard hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index, and the working condition information and the environmental information of the device of the non-standard hydraulic oil sample, and the non-standard hydraulic oil sample is the foreign matter invasion hydraulic oil, the target hydraulic oil is judged to be the foreign matter invasion hydraulic oil.
In this embodiment, the quality evaluation index of the hydraulic oil sample includes a dielectric constant or a kinematic viscosity. Therefore, the quality of the hydraulic oil sample can be better reflected through the dielectric constant or the kinematic viscosity.
In some preferred embodiments, the method for evaluating the quality of a hydraulic oil sample by using the dielectric constant is referred to as the dielectric constant method, and the dielectric constant method is to use oil and pollutants in the oil as dielectrics, when the lubricating oil is deteriorated, partial hydrocarbon molecules in the oil are oxidized to generate peroxides, acids and other chemical substances, so that the molecules are polarized. Along with the accumulation of oxidation products and thermal degradation products and the increase of external pollutants, the increase of polarized molecules in the oil can also be realized, so that the dielectric constant of the lubricating oil is changed; meanwhile, due to friction and abrasion, the dielectric constant of the lubricating oil is changed by abraded metal particles and other compounds with strong conductivity, and the dielectric constant of the lubricating oil depends on the components and the content of base oil additives and pollutants.
In some preferred embodiments, the operating condition information includes at least one of an operating time, a hydraulic oil temperature, a hydraulic oil pressure, an equipment operating condition, or an oil consumption. When the hydraulic oil is used, if the temperature is higher, the viscosity of the hydraulic oil is reduced, the lubricity is reduced, the abrasion of an oil-dedicated pump and a hydraulic element is accelerated during working, and leakage is easily caused. If the temperature is lower, the viscosity of the hydraulic oil is increased, the movement flexibility of the hydraulic element is reduced, and in severe cases, the movement of the moving element cannot be performed, and the normal operation is influenced. The temperature control in the working of the general hydraulic oil is better within the range of 20-60 ℃. Therefore, various working conditions influencing the quality of the hydraulic oil sample are acquired more comprehensively, so that the data in the subsequently established characteristic model of the change of the hydraulic oil quality evaluation index are more comprehensive and accurate, and the reference is stronger.
In some preferred embodiments, the environmental information includes an ambient temperature and/or humidity at which the device is currently located. Therefore, the environmental information influencing the quality of the hydraulic oil sample is acquired more comprehensively, so that the data in the subsequently established characteristic model of the change of the hydraulic oil quality evaluation index is more comprehensive and accurate, and the reference is stronger.
In some preferred embodiments, the establishing a characteristic model of the change of the hydraulic oil quality evaluation index includes:
and establishing a characteristic model of hydraulic oil quality evaluation index changes under different working conditions and different environments by utilizing a big data analysis and mining method. Therefore, by utilizing the big data analysis and mining method, the data processing capacity is stronger, the calculation is accurate, a large amount of technicians are not needed for analysis, and the method is more intelligent.
In some preferred embodiments, the big data analysis and mining method comprises at least one of a genetic algorithm, a decision tree, an associative analysis method, an artificial intelligent neuron network method, a support vector machine algorithm, or a K-fold cross-validation method. Therefore, the data processing capacity is stronger and the calculation is accurate.
In some preferred embodiments, the establishing of the characteristic model of the change of the hydraulic oil quality evaluation index comprises the steps of processing data extracted from the database by using a K-fold cross verification method, selecting an optimized parameter, and establishing an optimized support vector machine regression model; and training to obtain a characteristic model for optimizing the change of the hydraulic oil quality evaluation index.
In some specific embodiments, the establishing a characteristic model of the change of the hydraulic oil quality evaluation index includes:
dividing data extracted from the database into k sets, taking each set as a test set in turn, taking the rest sets as training sets, and repeating the training and testing for k times to ensure that each set is used as a test set and is verified once;
calculating and comparing the average cross validation accuracy of k times of training, and selecting a group of parameters with the highest cross validation accuracy;
step three, applying the parameters as optimal values of k-fold cross validation to a support vector machine model, and constructing an optimized support vector machine model, wherein a radial basis function is selected as a kernel function of the support vector machine model;
and step four, training to obtain a characteristic model for optimizing the change of the hydraulic oil quality evaluation index.
In the first step, the data extracted from the database comprises the types of the hydraulic oil samples (a standard hydraulic oil sample, an emulsified hydraulic oil sample, an oxidized and deteriorated hydraulic oil sample, a hydraulic oil sample containing an execution mechanism abrasive dust and a foreign matter invasion hydraulic oil sample), the working condition information and the environmental information of the equipment and the hydraulic oil quality evaluation index matched with the working condition information and the environmental information.
The optimization target of the characteristic model for optimizing the change of the hydraulic oil quality evaluation index is the hydraulic oil quality evaluation index, and the optimization variables are the types of the hydraulic oil samples (a standard hydraulic oil sample, an emulsified hydraulic oil sample, an oxidized and deteriorated hydraulic oil sample, a hydraulic oil sample containing abrasive dust of an execution mechanism and a foreign matter invasion hydraulic oil sample), the working condition information of the equipment and the environment information.
Therefore, the support vector machine model is optimized by using the K-fold cross verification method, the defects of time consumption and low efficiency in the traditional cross verification method can be avoided, the learning capacity and the convergence speed of the support vector machine are improved, the accuracy and the reliability of parameter selection of the support vector machine model are improved, the optimized characteristic model of hydraulic oil quality evaluation index change can be obtained, the speed is high, and the calculation is accurate.
In this embodiment, a correlation analysis method may be used, and first, a frequent item set is found, that is, the support degrees of all possible combination numbers of the types of the hydraulic oil samples (a standard hydraulic oil sample, an emulsified hydraulic oil sample, an oxidized and deteriorated hydraulic oil sample, a hydraulic oil sample containing an execution mechanism abrasive dust, and a foreign matter invasion hydraulic oil sample), the working condition information of the equipment, the environmental information, and the quality evaluation index of the hydraulic oil sample are calculated, and a set not less than a manually set minimum support degree is found; and then finding the association rule, namely calculating the confidence coefficient of the set which is not less than the minimum support degree set by people, and finding the rule which is not less than the minimum confidence coefficient set by people. And establishing a characteristic model of the change of the hydraulic oil quality evaluation index. The data processing speed is high, and the intelligent processing is realized.
In some preferred embodiments, an artificial intelligent neuron network method is used, the type of the hydraulic oil sample (a standard hydraulic oil sample, an emulsified hydraulic oil sample, an oxidized and deteriorated hydraulic oil sample, a hydraulic oil sample containing an execution mechanism abrasive dust and a hydraulic oil sample invaded by foreign matters), the working condition information and the environment information of the equipment are used as input data, the quality evaluation index of the hydraulic oil sample is used as output data, and the relation between the quality evaluation index of the hydraulic oil sample and the type, the working condition information and the environment information of the current hydraulic oil sample is established, so that the device is more intelligent.
In this embodiment, a genetic algorithm or a decision tree method may also be used, so that the quality evaluation index of the hydraulic oil sample and the type, the operating condition information, and the environmental information of the current hydraulic oil sample can be extracted from the data stored in the database, and a characteristic model of the change of the quality evaluation index of the hydraulic oil can be established from the information and the operating condition information and the environmental information of the current device, so that the analysis result is more vivid and clear.
According to the hydraulic oil quality monitoring method, quality evaluation indexes of hydraulic oil samples under different working conditions and different environments are collected and are correlated with working condition information and environment information, a quality evaluation index database is established when the hydraulic oil is normal and abnormal, a characteristic model of hydraulic oil dielectric constant change is established according to database data, the quality evaluation indexes of target hydraulic oil are correlated with corresponding working condition information and environment information, the quality evaluation indexes in the characteristic model of hydraulic oil dielectric constant change and the current working condition information and environment information of target equipment are matched and compared, the current quality condition of the hydraulic oil is judged in real time, timeliness and effectiveness of monitoring of the quality condition of the hydraulic oil are guaranteed, a large number of professional technicians are not needed for analysis, and the method is more intelligent.
The embodiment of the invention also provides a hydraulic oil quality monitoring device, which comprises:
a detection unit for detecting the position of the optical fiber,
the detection unit is used for detecting the quality evaluation index of the target hydraulic oil and the quality evaluation index of the hydraulic oil sample;
the detection unit is also used for detecting the type of the current hydraulic oil sample, the current working condition information and the current environmental information of the equipment;
the detection unit is also used for detecting the current working condition information and environment information of the target equipment;
a data processing unit for processing the data received from the data processing unit,
the data processing unit is used for performing data association on the quality evaluation index of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment, and storing the matched data into a database;
the data processing unit is also used for establishing a characteristic model of the change of the hydraulic oil quality evaluation index;
the data processing unit is further used for matching the quality evaluation index of the target hydraulic oil, the current working condition information and the current environment information of the target equipment with the data stored in the characteristic model of the change of the quality evaluation index of the hydraulic oil;
a result output unit for outputting the result of the operation,
and the result output unit is used for determining the quality state of the target hydraulic oil according to the matching result.
In some preferred embodiments, the detection unit includes a dielectric constant tester for detecting a dielectric constant of the hydraulic oil, and the dielectric constant tester is installed in a hydraulic oil circuit of the construction machine.
In a specific example, the detection unit is used for detecting the dielectric constant of the target hydraulic oil, the dielectric constant of the hydraulic oil sample, the current hydraulic oil sample and the working condition information and the environment information of the target equipment;
the data processing unit is used for carrying out data matching on the dielectric constant of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment and storing the matched data into a database;
the data processing unit is further used for matching the dielectric constant of the target hydraulic oil, the current working condition information and the environmental information of the target equipment with the dielectric constant of a hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index, the working condition information and the environmental information of the equipment, and if the matching with the standard hydraulic oil sample is successful, the judging unit judges that the target hydraulic oil is the standard hydraulic oil.
In another specific example, the detection unit is used for detecting the dielectric constant of the target hydraulic oil, the dielectric constant of the hydraulic oil sample, the current hydraulic oil sample and the working condition information and the environment information of the target equipment;
the data processing unit is used for carrying out data matching on the dielectric constant of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment and storing the matched data into a database;
the data processing unit is further used for matching the dielectric constant of the target hydraulic oil, the current working condition information and the environmental information of the target equipment with the dielectric constant of a hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index, the working condition information and the environmental information of the equipment, and if the matching with the non-standard hydraulic oil sample is successful and the non-standard hydraulic oil sample is the oxidized and deteriorated hydraulic oil, the judging unit judges that the target hydraulic oil is the oxidized and deteriorated hydraulic oil.
In another specific example, the detection unit is used for detecting the dielectric constant of the target hydraulic oil, the dielectric constant of the hydraulic oil sample, the current hydraulic oil sample and the working condition information and the environment information of the target equipment;
the data processing unit is used for carrying out data matching on the dielectric constant of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment and storing the matched data into a database;
the data processing unit is further used for matching the dielectric constant of target hydraulic oil, the current working condition information and the environmental information of the target equipment with the dielectric constant of a hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index, the working condition information and the environmental information of the equipment, and if the matching with the non-standard hydraulic oil sample is successful and the non-standard hydraulic oil sample is hydraulic oil containing the abrasive dust of the actuating mechanism, the judging unit judges that the target hydraulic oil is hydraulic oil containing the abrasive dust of the actuating mechanism.
In another specific example, the detection unit is used for detecting the dielectric constant of the target hydraulic oil, the dielectric constant of the hydraulic oil sample, the current hydraulic oil sample and the working condition information and the environment information of the target equipment;
the data processing unit is used for carrying out data matching on the dielectric constant of the hydraulic oil sample and the type, working condition information and environmental information of the current hydraulic oil sample, and storing the matched data into a database;
the data processing unit is further used for matching the dielectric constant of target hydraulic oil, the current working condition information and the current environmental information of the target equipment with the dielectric constant of a hydraulic oil sample stored in the characteristic model of the change of the hydraulic oil quality evaluation index, the working condition information and the environmental information of the equipment, and if the matching with the non-standard hydraulic oil sample is successful and the non-standard hydraulic oil sample is foreign matter invasion hydraulic oil, the judging unit judges that the target hydraulic oil is foreign matter invasion hydraulic oil.
The hydraulic oil quality monitoring device of this embodiment collects quality evaluation indexes, working condition information and environment information of hydraulic oil samples under different working conditions and different environments through the detection unit, associates the information through the data processing unit, establishes a quality evaluation index database when the hydraulic oil is normal and abnormal, establishes a characteristic model of hydraulic oil dielectric constant change according to the database data, associates the quality evaluation index of the target hydraulic oil detected by the detection unit with the corresponding working condition information and environment information through the data processing unit, matches and compares the quality evaluation index in the characteristic model changing with the hydraulic oil quality evaluation index and the current working condition information and environment information of the target equipment through the judgment unit, finally judges the quality condition of the current hydraulic oil through the judgment unit in real time, and guarantees timeliness and effectiveness of monitoring the quality condition of the hydraulic oil, and a large amount of professional technicians are not needed for analysis, so that the intelligent analysis system is more intelligent.
The embodiment also provides a hydraulic oil quality monitoring system, which comprises a computer readable storage medium and a processor, wherein the computer readable storage medium stores a computer program, and the computer program is read by the processor and runs to realize the hydraulic oil quality monitoring method.
Compared with the prior art, the hydraulic oil quality monitoring system and the hydraulic oil quality monitoring method have the same advantages, and are not described herein again.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), among others.
One of ordinary skill in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, and when executed, may include the processes of the above method embodiments. And the aforementioned storage medium includes: various media capable of storing program codes, such as ROM or RAM, magnetic or optical disks, etc.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the spirit and scope of the present disclosure, and these changes and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. A hydraulic oil quality monitoring method is characterized by comprising the following steps:
acquiring hydraulic oil samples of equipment under different working conditions and different environments, wherein the hydraulic oil samples comprise standard hydraulic oil samples with normal quality and non-standard hydraulic oil samples with abnormal quality;
detecting the quality evaluation index of the hydraulic oil sample, and acquiring the type of the current hydraulic oil sample, the current working condition information and the current environmental information of the equipment;
performing data association on the quality evaluation index of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment, and storing the associated data into a database;
establishing a characteristic model of hydraulic oil quality evaluation index change;
detecting a quality evaluation index of target hydraulic oil, and acquiring working condition information and environment information of the current target equipment;
and matching the quality evaluation index of the target hydraulic oil, the current working condition information and the environmental information of the target equipment with the data stored in the characteristic model of the change of the hydraulic oil quality evaluation index, and determining the quality state of the target hydraulic oil according to the matching result.
2. The hydraulic oil quality monitoring method according to claim 1, wherein the quality evaluation index of the hydraulic oil sample comprises a dielectric constant and/or a kinematic viscosity.
3. The hydraulic oil quality monitoring method according to claim 1, wherein the operating condition information includes at least one of operating time, hydraulic oil temperature, hydraulic oil pressure, equipment operating conditions, or oil consumption.
4. The hydraulic oil quality monitoring method according to claim 1, wherein the environmental information includes an external environment temperature and/or humidity in which the current equipment is located.
5. The hydraulic oil quality monitoring method according to claim 1, wherein the non-standard hydraulic oil sample comprises at least one of an emulsified hydraulic oil sample, an oxidized and deteriorated hydraulic oil sample, an actuator-containing abrasive dust hydraulic oil sample, or a foreign matter invading hydraulic oil sample.
6. The hydraulic oil quality monitoring method according to claim 1, wherein the establishing of the characteristic model of the change of the hydraulic oil quality evaluation index comprises:
and establishing a characteristic model of hydraulic oil quality evaluation index change under different working conditions and different environments by utilizing a big data analysis and mining method.
7. The hydraulic oil quality monitoring method of claim 6, wherein the big data analysis and mining method comprises at least one of a genetic algorithm, a decision tree, a correlation analysis method, an artificial intelligent neuron network method, a support vector machine algorithm, or a K-fold cross-validation method.
8. The hydraulic oil quality monitoring method according to claim 7, wherein the establishing of the characteristic model of the change of the hydraulic oil quality evaluation index comprises the steps of processing data extracted from the database by using a K-fold cross validation method, selecting an optimized parameter, and establishing an optimized support vector machine regression model; and training to obtain a characteristic model for optimizing the change of the hydraulic oil quality evaluation index.
9. The utility model provides a hydraulic oil quality monitoring device which characterized in that includes:
a detection unit for detecting the position of the optical fiber,
the detection unit is used for detecting the quality evaluation index of the target hydraulic oil and the quality evaluation index of the hydraulic oil sample;
the detection unit is also used for detecting the type of the current hydraulic oil sample, the current working condition information and the current environmental information of the equipment;
the detection unit is also used for detecting the current working condition information and environment information of the target equipment;
a data processing unit for processing the data received from the data processing unit,
the data processing unit is used for performing data association on the quality evaluation index of the hydraulic oil sample, the type of the current hydraulic oil sample, the current working condition information and the environmental information of the equipment, and storing the matched data into a database;
the data processing unit is also used for establishing a characteristic model of the change of the hydraulic oil quality evaluation index;
the data processing unit is further used for matching the quality evaluation index of the target hydraulic oil, the current working condition information and the current environment information of the target equipment with the data stored in the characteristic model of the change of the quality evaluation index of the hydraulic oil;
a result output unit for outputting the result of the operation,
and the result output unit is used for determining the quality state of the target hydraulic oil according to the matching result.
10. A hydraulic oil quality monitoring system comprising a computer-readable storage medium storing a computer program and a processor, the computer program being read by the processor and executed to implement the hydraulic oil quality monitoring method according to any one of claims 1 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI831484B (en) * | 2022-11-24 | 2024-02-01 | 財團法人精密機械研究發展中心 | Viscosity learning and prediction system |
| CN117668672A (en) * | 2024-02-01 | 2024-03-08 | 季华实验室 | Liquid food detection method, device, equipment and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2213961C1 (en) * | 2002-08-28 | 2003-10-10 | Общевойсковая Академия Вооруженных Сил Российской Федерации | Procedure evaluating sedimentation stability of motor oils |
| CN101806729A (en) * | 2010-03-31 | 2010-08-18 | 中国人民解放军总后勤部油料研究所 | In-use lubricating oil quality rapid testing method |
| CN103592426A (en) * | 2012-08-14 | 2014-02-19 | 同济大学 | Engineering machinery lubricating oil state monitoring system |
| CN106404842A (en) * | 2016-11-29 | 2017-02-15 | 国网浙江省电力公司电力科学研究院 | Metallographic structure assessment test method |
| CN106896219A (en) * | 2017-03-28 | 2017-06-27 | 浙江大学 | The identification of transformer sub-health state and average remaining lifetime method of estimation based on Gases Dissolved in Transformer Oil data |
| JP2017161991A (en) * | 2016-03-07 | 2017-09-14 | 三菱重工業株式会社 | Quality evaluation system, quality evaluation method and program |
| CN107402201A (en) * | 2016-05-20 | 2017-11-28 | 王云 | A kind of machine oil oil quality detection method for evading disturbing factor |
| CN107489675A (en) * | 2017-09-30 | 2017-12-19 | 翟化学 | A kind of hydraulic oil online test method |
| CN107560984A (en) * | 2017-07-28 | 2018-01-09 | 西北工业大学 | The oil liquid pollution on-line monitoring device and monitoring method of a kind of hydraulic system |
| CN108446379A (en) * | 2018-03-16 | 2018-08-24 | 中国长江三峡集团有限公司 | Fault Diagnosis Method of Hydro-generating Unit |
| CN110296125A (en) * | 2019-06-19 | 2019-10-01 | 欧洛普智控(北京)科技发展有限公司 | A kind of method of detection device oil leakage of hydraulic system |
| CN209469647U (en) * | 2019-01-31 | 2019-10-08 | 江西仁和药用塑胶制品有限公司 | A kind of hydraulic oil tank system for injection molding machine |
| CN110533345A (en) * | 2019-09-05 | 2019-12-03 | 大连海事大学 | A kind of boat diesel engine state evaluating method and system |
| CN111126685A (en) * | 2019-12-16 | 2020-05-08 | 武汉材料保护研究所有限公司 | Method for establishing engine lubricating oil quality prediction model |
| CN112115575A (en) * | 2020-07-29 | 2020-12-22 | 北京奔驰汽车有限公司 | Equipment lubricating oil state evaluation system and method |
-
2021
- 2021-01-08 CN CN202110025713.3A patent/CN112834729A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2213961C1 (en) * | 2002-08-28 | 2003-10-10 | Общевойсковая Академия Вооруженных Сил Российской Федерации | Procedure evaluating sedimentation stability of motor oils |
| CN101806729A (en) * | 2010-03-31 | 2010-08-18 | 中国人民解放军总后勤部油料研究所 | In-use lubricating oil quality rapid testing method |
| CN103592426A (en) * | 2012-08-14 | 2014-02-19 | 同济大学 | Engineering machinery lubricating oil state monitoring system |
| JP2017161991A (en) * | 2016-03-07 | 2017-09-14 | 三菱重工業株式会社 | Quality evaluation system, quality evaluation method and program |
| CN107402201A (en) * | 2016-05-20 | 2017-11-28 | 王云 | A kind of machine oil oil quality detection method for evading disturbing factor |
| CN106404842A (en) * | 2016-11-29 | 2017-02-15 | 国网浙江省电力公司电力科学研究院 | Metallographic structure assessment test method |
| CN106896219A (en) * | 2017-03-28 | 2017-06-27 | 浙江大学 | The identification of transformer sub-health state and average remaining lifetime method of estimation based on Gases Dissolved in Transformer Oil data |
| CN107560984A (en) * | 2017-07-28 | 2018-01-09 | 西北工业大学 | The oil liquid pollution on-line monitoring device and monitoring method of a kind of hydraulic system |
| CN107489675A (en) * | 2017-09-30 | 2017-12-19 | 翟化学 | A kind of hydraulic oil online test method |
| CN108446379A (en) * | 2018-03-16 | 2018-08-24 | 中国长江三峡集团有限公司 | Fault Diagnosis Method of Hydro-generating Unit |
| CN209469647U (en) * | 2019-01-31 | 2019-10-08 | 江西仁和药用塑胶制品有限公司 | A kind of hydraulic oil tank system for injection molding machine |
| CN110296125A (en) * | 2019-06-19 | 2019-10-01 | 欧洛普智控(北京)科技发展有限公司 | A kind of method of detection device oil leakage of hydraulic system |
| CN110533345A (en) * | 2019-09-05 | 2019-12-03 | 大连海事大学 | A kind of boat diesel engine state evaluating method and system |
| CN111126685A (en) * | 2019-12-16 | 2020-05-08 | 武汉材料保护研究所有限公司 | Method for establishing engine lubricating oil quality prediction model |
| CN112115575A (en) * | 2020-07-29 | 2020-12-22 | 北京奔驰汽车有限公司 | Equipment lubricating oil state evaluation system and method |
Non-Patent Citations (17)
| Title |
|---|
| ELŻBIETA ROGOŚ ET AL.: "A DEVICE AND METHOD FOR THE EVALUATION OF HYDRAULIC OILS PERFORMANCE USING IMPEDANCE PARAMETERS MEASUREMENT", 《PROBLEMY EKSPLOATACJI-MAINTENANCE PROBLEMS》, 31 December 2015 (2015-12-31) * |
| 刘健;吴雄喜;计时鸣;: "基于多信息融合的油液品质评价方法及其实现" * |
| 刘健;吴雄喜;计时鸣;: "基于多信息融合的油液品质评价方法及其实现", no. 21, pages 2614 - 2618 * |
| 刘健等: "基于多信息融合的油液品质评价方法及其实现", 《中国机械工程》, no. 21, 10 November 2010 (2010-11-10) * |
| 周涛;郭静英;赵志龙;刘亚龙;魏冀;: "液压油多参量品质诊断研究" * |
| 周涛;郭静英;赵志龙;刘亚龙;魏冀;: "液压油多参量品质诊断研究", no. 10, pages 84 - 88 * |
| 周涛等: "液压油多参量品质诊断研究", 《液压与气动》, no. 10, 15 October 2017 (2017-10-15) * |
| 张剑锋等: "基于QCM传感器的液压油品质在线监测系统的开发", 《电子技术应用》 * |
| 张剑锋等: "基于QCM传感器的液压油品质在线监测系统的开发", 《电子技术应用》, no. 03, 25 March 2001 (2001-03-25) * |
| 朱伟伟等: "工程机械液压油品质在线监测", 《润滑与密封》 * |
| 朱伟伟等: "工程机械液压油品质在线监测", 《润滑与密封》, no. 10, 15 October 2015 (2015-10-15) * |
| 程安国等: "基于层次分析法综合评价液压油的性能", 《液压气动与密封》 * |
| 程安国等: "基于层次分析法综合评价液压油的性能", 《液压气动与密封》, no. 04, 15 April 2015 (2015-04-15) * |
| 赵淑兰,黄俊: "一种评价机器磨损和润滑油质量的新方法", no. 04, pages 25 - 27 * |
| 赵辉等: "液压油性能评价的两种方法及改进措施研究", 《矿山机械》 * |
| 赵辉等: "液压油性能评价的两种方法及改进措施研究", 《矿山机械》, no. 02, 10 February 2016 (2016-02-10) * |
| 钱旭耀等: "变压器油及相关故障诊断处理技术", 中国电力出版社, pages: 90 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI831484B (en) * | 2022-11-24 | 2024-02-01 | 財團法人精密機械研究發展中心 | Viscosity learning and prediction system |
| CN117668672A (en) * | 2024-02-01 | 2024-03-08 | 季华实验室 | Liquid food detection method, device, equipment and storage medium |
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