CN107560984B - A kind of oil liquid pollution on-line monitoring device and monitoring method of hydraulic system - Google Patents
A kind of oil liquid pollution on-line monitoring device and monitoring method of hydraulic system Download PDFInfo
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Abstract
The present invention relates to a kind of oil liquid pollution on-line monitoring device of hydraulic system and monitoring methods, by the temperature for monitoring hydraulic system on-line, the parameters such as pressure and oil contamination particle, temperature is established using grey forecasting model, pressure and oil contamination particle variation prediction curve assess oil contamination in hydraulic system degree, according to temperature, pressure, relevance between abrasive grain content and failure, provide inspection and maintenance suggestion, and feed back to technical staff, to achieve the purpose that fault pre-alarming and condition maintenarnce, the incipient fault of hydraulic system can be found in time, the generation of subsequent major accident is avoided by repairing, ensure effective operation of equipment, extend its working life.
Description
Technical field
The invention belongs to hydraulic system fault detections and pre-estimating technology, the oil contamination for being related to a kind of hydraulic system to supervise online
Survey method.
Background technique
Hydraulic system due to inevitably having wear phenomenon between each component, causes in hydraulic system in the process of running
It generates wear particle and is mixed into oil liquid, hydraulic oil liquid blocks oily filter because being contaminated, and the oily filter after being blocked makes
The viscosity of hydraulic oil liquid increases, the heat sharp increase generated in system by friction, and oil temperature and system temperature is caused to increase；Oil
Filter blocking can make system for shortage of oil, cause system pressure to decline, influence running efficiency of system.Various solid particles in oil liquid
Pollutant is both the reason of causing mechanical part abrasion to fail, while being also the product after component is worn, wherein containing
The information of a large amount of characterization machine internal state of wear.Therefore, by monitoring of the monitoring technology to oil contamination particle can and
Early discovery incipient fault, eliminates or reduces influence caused by oil contamination, avoid component wear, effectively improve hydraulic system
Working efficiency and service life.
Monitoring oil contamination technology is broadly divided into two classes: off-line monitoring and on-line monitoring at present.Off-line monitoring is by fixed
Phase scene samples oil liquid sample, then send to laboratory and carry out sample analysis.The obtained contamination data of such methods is accurate, but
It is that censored time is too long, monitoring cycle is long, can not reflect the real-time working condition of hydraulic system according to complicated operating condition, can not
Potential failure in timely discovery system.On-line monitoring is to be monitored by sensor to the hydraulic system operated, can
To obtain related data in real time, monitoring velocity is fast, reflects the work state information of system in time, is to realize hydraulic system master
One of the important means of dynamic preventive maintenance.
Patent publication No. CN102562560A proposes a kind of real-time detection side for capableing of real-time detection abrasion of hydraulic pump situation
Method.The invention accesses oil grain counter in the both ends parallel connection of casing of hydraulic pump return filter, and is equipped with before and after counter
Integrated form filters pipe fitting sum aggregate accepted way of doing sth current limliting pipe fitting, this ensure that the mistake oil stream amount into counter is stable always
Small flow.But the monitoring object of this method is single, does not account for the influence of hydraulic system running temperature, pressure versus flow amount, makes
The result that must be detected is inaccurate.
Patent publication No. CN 102147404A provides a kind of lubricant pollution degree monitoring method and device, using compound work
The form of plug cylinder monitors the piston displacement due to caused by 5 μm and 15 μm of particle blockings to estimate the pollution level of oil liquid, the dress
Set the deficiencies of overcoming existing device for monitoring oil contamination the device is complicated, at high cost and measuring method is cumbersome.But hydraulic system
The variation range of temperature and pressure is big when operation, also has having a certain impact to the piston displacement of flow blocking, this makes the party
The result accuracy that method obtains is not high, can not accomplish to predict failure.
Summary of the invention
It being capable of real-time monitoring hydraulic system oil liquid technical problem solved by the present invention is the purpose of the present invention is to propose to one kind
The method of pollution situation, this method can pass through on-line monitoring hydraulic system under the premise of not influencing system worked well
The parameters such as temperature, pressure and oil contamination particle are established temperature, pressure and oil contamination particle using grey forecasting model and are changed
Prediction curve assesses oil contamination in hydraulic system degree, and combines the knowledge base of historical data base and oil contamination, according to temperature
Relevance between degree, pressure, abrasive grain content and failure provides inspection and maintenance suggestion, and feeds back to technical staff, to reach
To the purpose of fault pre-alarming and condition maintenarnce, the incipient fault of hydraulic system can be found in time, avoided by maintenance subsequent tight
The generation of weight accident, ensures effective operation of equipment, extends its working life.
The technical scheme is that a kind of oil liquid pollution on-line monitoring device of hydraulic system, including fuel tank, control
Device, actuator, liquid automatic particle counter, computer and hydraulic pump；Hydraulic oil is passed to hydraulic pump by fuel tank, at hydraulic pump pressurization
Incoming controller after reason, via controller is according to incoming actuator after the pressurization of system oil pressure initial predetermined value or decompression processing and automatically
Particle collector, by hydraulic oil oil return to controller, after via controller decompression processing, oil return is extremely after executing operation for actuator
Fuel tank；It is respectively equipped with sensor in the inlet and outlet of hydraulic pump and actuator, for monitoring the pressure value and temperature of four points
Angle value；Liquid automatic particle counter monitors the wear particle in oil liquid；When monitor value is greater than initial set threshold value, computer output
Alarm signal is alarmed to warning lamp；When monitor value is less than initial set threshold value, whole device is worked normally.
A further technical solution of the present invention is: a kind of monitoring side of the oil liquid pollution on-line monitoring device of hydraulic system
Method, comprising the following steps:
Step 1 obtains data information, including following sub-step:
Sub-step one: by sensor, the hydraulic oil real-time monitored is imported and exported in hydraulic pump inlet and outlet and actuator
The pressure value and temperature value at place are passed to computer and are stored；
Sub-step two: on-line period is carried out to oil liquid by liquid automatic particle counter, the wear particle in oil liquid is carried out
Real-time monitoring statistics；
Step 2: dustiness classification is carried out according to the international standard NAS1638 of contamination level of oil liquid classification, if through detecting oil liquid
Particle pollution degree then alarms beyond 10 grades as defined in international standard NAS1638, otherwise enters step three；
Step 3: by pressure value, temperature value obtained in step 1 and wear particle, distinguished by grey forecasting model
Establish wear particle, temperature, pressure data variation prediction tendency chart；Wherein the method for establishing model of three parameters is identical；It is described
Grey forecasting model modeling procedure is as follows:
(1) regular intervals of time sampling is carried out to one of parameter of hydraulic system hydraulic oil, obtains original data series x(0)={ x(0)(1),x(0)(2),...x(0)(N)}；
(2) to original data series x(0)One-accumulate generates new ordered series of numbers x(1)={ x(1)(1),x(1)(2),...x(1)(N)}；
(3) to generation ordered series of numbers x(1)Establish One first-order ordinary differential equation
(4) by x(1)(2),x(1)(3),......x(1)(N) above equation is substituted into respectively, replaces differential with difference, by x(i) (i)It replaces withArray is obtained after simplification
(5) y=(x is enabled(0)(2),x(())(3).....x(0)(N))T, enable
Then matrix form is reduced to y=BU, and the least-squares estimation of this equation is
(6) estimated valueWithSubstitute into time response equationAs k >=N,This is relative to one-accumulate sequence x(1)Match value, subtract after operation reduction, must original series predicted value
(7) gray model is examined:
Residual error size is examined, i.e., obtains residual error to model value and actual value and examined point by point；It is calculated first by modelIt willInverse accumulated generatingWith x(0)(i) absolute residuals sequence Δ(0)={ Δ(0)(i), i=1,
2,...N},And opposite residual sequence Φ={ Φi, i=1,2...N },And
Calculate average opposite residual error
Given α, whenAnd ΦNWhen < α, model is referred to as residual error qualification model；When model is unqualified, with residual error
The form of sequence establishes Residual Error Gray model to correct the model originally established, and improves established Precision of Grey Model；
(8) according to the wear particle of hydraulic oil, temperature, the original sequence of parameters obtained by the gray model of pressure parameter
The predicted value of columnEstablish the prediction curve of parameters；
Step 4: in conjunction with the wear particle of hydraulic oil, temperature, pressure history data establishes the ginseng under normal operating conditions
Number change curve, normalized curve and prediction curve are compared, after difference occurs for the two variation tendency, by predicted valueIt is compared with the parameter safety threshold values Q just set, if predicted value exceeds safe threshold, computer is by event
Output alarm signal to warning lamp, warning lamp is alarmed after barrier judgement；
A further technical solution of the present invention is: several warning lamps display contents are respectively as follows:, hydraulic pump is abnormal, controller is different
Often, actuator is abnormal, system temperature is excessively high, pressure leakage, oil liquid serious pollution；It is alarmed, is carried out corresponding according to different warning lamps
Measure:
If the temperature of hydraulic pump inlet, pressure parameter are normal and any parameter reaches safe threshold at hydraulic pump outlet,
Hydraulic pump exception indicator light is bright, should carry out Inspection and maintenance to hydraulic pump；If the temperature of hydraulic pump outlet, pressure parameter it is normal and
Any parameter of actuator entrance reaches safe threshold, then controller exception indicator light is bright, should carry out inspection dimension to controller
Shield；If the temperature of actuator import, pressure parameter are normal and any parameter in actuator exit reaches safe threshold, actuator
Abnormal indicator light is bright, should carry out Inspection and maintenance to hydraulic pump；If actuator inlet temperature reaches safe threshold and wear particle
Not up to safe threshold, the excessively high indicator light of system temperature is bright, shuts down cooling；If actuator inlet temperature reaches safe threshold and mill
Damage granule content reaches safe threshold, and then oil liquid serious pollution indicator light is bright, shows that oil contamination is serious, should replace oil liquid；If
Actuator inlet pressure is lower than safe threshold and wear particle content is not up to safe threshold then pressure leakage indicator light is bright, shows
Junction part is tightened in system oil leak；If actuator inlet pressure is not up to safe threshold and wear particle content is more than safety
Threshold values, then oil liquid serious pollution indicator light is bright, and oil liquid is replaced in oily filter blocking.
Invention effect
The technical effects of the invention are that: the oil contaminant monitoring of hydraulic system is mainly off-line monitoring at present, online
Monitoring technology also develops constantly.Hydraulic system is often in complicated operating condition, operating temperature and system pressure at work
Power all has a greater change range, has apparent influence to the working condition of hydraulic system.And most oil contamination exists in the market
Line monitoring device monitoring object is single, although error easy to operate is larger, is unable to reach the requirement of fault pre-alarming, caused
It early alarms and replaces oil liquid, cause the waste of resource, or made without alarm but due to excessively high temperature and too low pressure
Obtaining hydraulic system working efficiency reduces, and equipment life shortens.
The present invention passes through (pump inlet and outlet and executive component are imported and exported) mounting temperature sensor and pressure in hydraulic system
Sensor, while three operating temperature to hydraulic system, pressure and oil contamination particle running parameters are monitored, and utilize
Grey forecasting model establishes the data variation tendency chart of parameter, and the working condition of hydraulic system is judged in conjunction with historical data, is mentioned
The accuracy of high monitoring result, the phenomenon that can noting abnormalities in time, infer potential failure, finally technical staff are warned to adopt
Working efficiency is improved, finds failure in time so as to the working condition of stable hydraulic system with corresponding maintenance means,
Extend the working life of equipment.The potential portion of failure can be locked rapidly additionally by the parameter monitoring to system difference key aspect
Maintenance efficiency is improved in position.
Detailed description of the invention
Fig. 1 is this system structural schematic diagram
Fig. 2 is the flow chart that monitoring system carries out on-line monitoring process
Fig. 3 is gray model Establishing process figure
Description of symbols: 1-pump inlet；2-pump discharges；3-executive component imports；The outlet of 4-executive components
Specific embodiment
When hydraulic system is working properly, system parameter, which all works, to be designed and set up near value, if these are joined in work
Number deviates from predetermined value, then system will break down or be possible to break down, such as design its work of reasonable hydraulic system
Be as range of temperature it is conditional, abnormal increase in the system that often means that of system temperature is broken down, system pressure
Then in concentrated expression system and system element working condition.According to the parameter of the feature of hydraulic system and required measurement, if
Count the oil contamination on-line monitoring method and device of a kind of new hydraulic system.For main working parameters pressure and temperature, only
It needs to pass through sensor measurement 1,2,3,4 in pump inlet and outlet (1,2) and executive component inlet and outlet (3,4) setting Sensor
4 points of pressure and temperature, and its measured value is input to computer diagnosis software interface by data acquisition, from characteristic signal
In extract sign signal, be compared, judge with predetermined value, within the allowable range such as parameter value, then pass through parameter trend figure
Carry out failure predication；If measured value exceeds allowed band, then out of order region portion (pumping source, control transmission can be diagnosed at once
Part or actuator part).Liquid automatic particle counter is housed before actuator, oil liquid is imported to liquid automatic particle counter prison online
The content of oil liquid particle is surveyed, then data are imported computer diagnosis software interface, it is pre- to carry out gray model modeling with temperature, pressure
Trend chart is surveyed, is alarmed when the data reaches the threshold, at this point, inference machine integrated alarm information, historical data base and oil liquid are dirty
The knowledge base of dye makes final decision, and computer connects LED warning lamp, final decision result is fed back to maintenance personal.
Detecting step:
1, (pump inlet and outlet and executive component inlet and outlet) mounting temperature sensor and pressure sensor prison in hydraulic system
Testing temperature and pressure change simultaneously draw curve, and sample data is saved in the real-time data base of computer；
2, liquid automatic particle counter is installed before executive component import, while on-line period is carried out to oil liquid, by oil liquid sample
Originally it imported into liquid automatic particle counter and carries out the content monitoring and statistics of wear particle, draw wear particle change curve；
3, dustiness classification is carried out according to contamination level of oil liquid grade scale, it is straight if contamination level of oil liquid is more than maximum critical value
Connect replacement oil liquid；
4, to wear particle, temperature change, pressure change data import computer, and the grey established by Matlab programming is pre-
It surveys in model, prediction data variation tendency establishes wear particle, temperature, pressure data variation prediction tendency chart；
5, in conjunction with the knowledge base of historical data base and oil contamination, wear particle, temperature, pressure are judged according to prediction curve
Critical value.Have reached critical value and wear particle content is less if temperature is higher, not up to critical value, then it may be due to system
Working time is too long, shuts down cooling；If temperature relatively up to oil contamination to critical value and if wear particle content reaches critical value
Oil liquid should seriously be replaced；The system oil leak if hypotony is lower than critical value but wear particle content deficiency, need to tighten junction
Part；If hypotony and wear particle content are more than critical value, oily filter blocking, oil contamination is serious, needs to change oil liquid.
6, the different predictive diagnosis that computer is obtained according to step 3 and step 5 are as a result, connect LED warning lamp, in warning
Holding is respectively that hydraulic pump is abnormal, actuator is abnormal, system temperature is excessively high, pressure leakage, oil liquid serious pollution, by predictive diagnosis knot
Fruit feeds back to staff, takes different maintenance measures.
The innovative point of the application is:
(1), monitoring device is by 4 mounting temperature sensors and pressure sensor, liquid automatic particle counter, computer, LED
Warning lamp composition.Temperature sensor and pressure sensor mounted in hydraulic pump inlet and outlet and executive component inlet and outlet, automatic
Grain counter is mounted in executive component import, and is all connected by data line with the data collector of computer；
(2), computer is furnished with real-time data base, historical data base, grey forecasting model modeling software, deposits with data
Storage, as the result is shown, printing etc. functions；
(3), computer connects LED warning lamp, and warning content is respectively that hydraulic pump is abnormal, actuator is abnormal, system temperature
Excessively high, pressure leakage, oil liquid serious pollution；
(4), Trend Forecast curve is established by grey forecasting model using temperature, pressure, oil liquid particulate count evidence,
In conjunction with historical data and expert system, whether computer is more than prediction threshold values to determine whether early warning and phase according to trend curve
Corresponding maintenance means.In the inlet and outlet of hydraulic pump and the inlet and outlet mounting temperature sensor and pressure sensor of executive component,
Sensor connects computer；Liquid automatic particle counter is installed, counter connects computer before executive component import；Computer is furnished with
The wear particle of real-time data base, hydraulic oil, temperature, historical data base, the grey forecasting model modeling software of pressure and other parameters,
Have the function of data storage, as the result is shown, printing etc.；Computer connects LED warning lamp, and warning content is respectively that hydraulic pump is different
Often, actuator is abnormal, system temperature is excessively high, pressure leakage, oil liquid serious pollution.Computer connects LED warning lamp, warns content
Be divided into 1, trouble location: hydraulic pump is abnormal, controller is abnormal, actuator is abnormal；2, failure mode: system temperature is excessively high, pressure
Leakage, oil liquid serious pollution.Computer feeds back to staff by warning lamp according to the predictive diagnosis result of step 5, takes
Corresponding maintenance measure.Computer according to alarm signal carry out analyze and determine obtains different predictive diagnosis results: if temperature compared with
Height has reached safe threshold and wear particle content is less, not up to safe threshold, then may be due to System production time mistake
It is long, cooling should be shut down；If temperature compared with up to safe threshold and if wear particle content reaches safe threshold, oil contamination is tight
Weight, should replace oil liquid；The system oil leak if hypotony is lower than safe threshold but wear particle content deficiency, should the company of tightening
Connect place's part；If hypotony and wear particle content are more than safe threshold, oily filter blocking, oil contamination is serious, should be more
It changes oil liquid.
If system has an ambiguity of level, structural relation, the randomness of dynamic change, achievement data it is endless
Standby property, then referred to as grey majorized model, is known as gray system for this system.And the development trend of fault data such as wear particle, temperature
Variation tendency, the variation tendency of pressure, the characteristics of meeting gray system, therefore the prediction technique of gray model can be applied to therefore
Barrier prediction aspect.
The basic definition of gray model: gray model is to lead to too small amount of, imperfect information, establishes grey differential prediction mould
Type is made ambiguity to the development trend of data and is described for a long time.If original data sequence x(0)={ x(0)(1),x(0)(2),...x(0)
(N) }, according to the formula of conclusionInitial data add up and then obtains a new number
Arrange x(1)={ x(1)(1),x(1)(2),...x(1)(N) }, ordered series of numbers represented by this formula is referred to as that the one-accumulate of initial data column is raw
At.
If x(1)Meet One first-order ordinary differential equation
Wherein a is constant, referred to as develops grey number；U is known as the interior grey number of raw control, is to determine input to the normal of system, this equation
Meet primary condition t=t0When x(1)=x(1)(t0) solution be
(t is noticed to the discrete value of periodic sampling0=1) then it is
The approach of grey modeling is that one-accumulate sequence estimates constant a and u by least square method.
The step of grey modeling:
1, to the wear particle of hydraulic system, temperature, pressure and other parameters carry out regular intervals of time sampling, respectively obtain these three
The original data series x of parameter(0)={ x(0)(1),x(0)(2),...x(0)(N)}(x(0)It (N) is the survey in the N period of a certain parameter
Magnitude, N are the ordinal number for detecting the period).
2, to original data series x(0)One-accumulate generates new ordered series of numbers x(1)={ x(1)(1),x(1)(2),...x(1)(N)}。(x(1)
It (N) is measured value x(0)(N) one-accumulate value).
3, to generation ordered series of numbers x(1)Establish One first-order ordinary differential equation(constant a is to develop grey number, and u is interior
Raw to control grey number, t is the time).
4, by x(1)(2),x(1)(3),......x(1)(N) above equation is substituted into respectively, and because of periodic sampling Δ t=1,
Difference can be usedInstead of differential, by x(1) (i)It replaces withArray is obtained after simplification
5, y=(x is enabled(0)(2),x(0)(3).....x(0)(N))T, enableThen square
Formation formula is reduced to y=BU, and the least-squares estimation of this equation is
6, estimated valueWithSubstitute into time response equationAs k >=N,This is relative to one-accumulate sequence x(1)Match value, subtract after operation reduction, must original series predicted value(k is the ordinal number of predicted value,It is to original data series x(0)(k+1) predicted value)
7, gray model is examined:
Residual error size is examined, i.e., obtains residual error to model value and actual value and examined point by point.It is calculated first by modelIt willInverse accumulated generatingWith x(0)(i) absolute residuals sequence Δ(0)={ Δ(0)(i), i=1,
2 ... N },And opposite residual sequence Φ={ Φi, i=1,2...N },And
Calculate average opposite residual error
Given test rating α, whenAnd ΦNWhen < α is set up, model is referred to as residual error qualification model.Specific examine refers to
Be designated as: level-one: index critical value is 0.01；Second level: index critical value is 0.05；Three-level: index critical value is 0.10；Level Four:
Index critical value is 0.20.In situation unqualified for model, Residual Error Gray can be established by way of residual sequence
Model corrects the model originally established, and established Precision of Grey Model is improved in this way, until precision meets me
Requirement until.
8, the predicted value of original seriesIt is compared with the parameter safety threshold values Q originally set, if predicted value
Beyond safe threshold, then alarm signal is exported.
Claims (2)
1. a kind of monitoring method of the oil liquid pollution on-line monitoring device of hydraulic system, which comprises the following steps: step
Rapid one, obtain data information, including following sub-step:
Sub-step one: by sensor, by the hydraulic oil real-time monitored in hydraulic pump inlet and outlet and actuator import and export
Pressure value and temperature value are passed to computer and are stored；
Sub-step two: on-line period is carried out to oil liquid by liquid automatic particle counter, the wear particle content in oil liquid is carried out
Real-time monitoring statistics；
Step 2: dustiness classification is carried out according to the international standard NAS1638 of contamination level of oil liquid classification, if through detecting oil liquid particle
Dustiness then alarms beyond 10 grades as defined in international standard NAS1638, otherwise enters step three；
Step 3: by pressure value, temperature value obtained in step 1 and wear particle content, distinguished by grey forecasting model
Establish wear particle content, temperature, pressure data variation prediction tendency chart；Wherein the method for establishing model of three parameters is identical；
The modeling procedure of the grey forecasting model is as follows:
(1) regular intervals of time sampling is carried out to one of parameter of hydraulic system hydraulic oil, obtains original data series x(0)={ x(0)
(1),x(0)(2),...x(0)(N)}；x(0)It (N) is the measured value in the N period of a certain parameter, N is the ordinal number for detecting the period；
(2) to original data series x(0)One-accumulate generates new ordered series of numbers x(1)={ x(1)(1),x(1)(2),...x(1)(N)}；x(1)(N) it is
Measured value x(0)(N) one-accumulate value；
(3) to generation ordered series of numbers x(1)Establish One first-order ordinary differential equationConstant a is to develop grey number, and u is interior raw control
Grey number is made, t is the time；
(4) by x(1)(2),x(1)(3),......x(1)(N) above equation is substituted into respectively, replaces differential with difference, by x(1)(i) it replaces
It is changed toArray is obtained after simplification
(5) y=(x is enabled(0)(2),x(0)(3).....x(0)(N))T, enable
Then matrix form is reduced to y=BU, and the least-squares estimation of this equation is
(6) estimated valueWithSubstitute into time response equationAs k >=N,
This is relative to one-accumulate sequence x(1)Match value, subtract after operation reduction, must original series predicted valuek
It is the ordinal number of predicted value,It is to original data series x(0)(k+1) predicted value；
(7) gray model is examined:
Residual error size is examined, i.e., obtains residual error to model value and actual value and examined point by point；It is calculated first by model
It willInverse accumulated generatingWith x(0)(i) absolute residuals sequence Δ(0)={ Δ(0)(i), i=1,2 ... N },And opposite residual sequence Φ={ Φi, i=1,2...N },And it calculates average
Opposite residual error
Given test rating α, whenAnd ΦNWhen < α, model is referred to as residual error qualification model；When model is unqualified, use
The form of residual sequence establishes Residual Error Gray model to correct the model originally established, and improves established Precision of Grey Model；
(8) according to the wear particle content of hydraulic oil, temperature, the original sequence of parameters obtained by the gray model of pressure parameter
The predicted value of columnEstablish the prediction curve of parameters；
Step 4: in conjunction with the wear particle content of hydraulic oil, temperature, pressure history data establishes the ginseng under normal operating conditions
Number change curve, normalized curve and prediction curve are compared, after difference occurs for the two variation tendency, by predicted valueIt is compared with the parameter safety threshold value Q just set, if predicted value exceeds secure threshold, computer passes through failure
Alarm signal is exported after judgement to warning lamp, warning lamp alarm.
2. a kind of monitoring method of the oil liquid pollution on-line monitoring device of hydraulic system as described in claim 1, feature exist
Show that contents are respectively as follows: that hydraulic pump is abnormal, controller is abnormal, actuator is abnormal, system temperature is excessively high, pressure in, several warning lamps
Power leakage, oil liquid serious pollution；It is alarmed according to different warning lamps, carries out corresponding measure:
If the temperature of hydraulic pump inlet, pressure parameter are normal and any parameter reaches secure threshold at hydraulic pump outlet, hydraulic
It is bright to pump abnormal indicator light, Inspection and maintenance should be carried out to hydraulic pump；It is executed if the temperature of hydraulic pump outlet, pressure parameter are normal
Any parameter of device entrance reaches secure threshold, then controller exception indicator light is bright, should carry out Inspection and maintenance to controller；If
The temperature of actuator import, pressure parameter is normal and any parameter in actuator exit reaches secure threshold, then actuator is abnormal
Indicator light is bright, should carry out Inspection and maintenance to hydraulic pump；If actuator inlet temperature reaches secure threshold and wear particle content
Not up to secure threshold, the excessively high indicator light of system temperature is bright, shuts down cooling；If actuator inlet temperature reaches secure threshold and mill
Damage granule content reaches secure threshold, and then oil liquid serious pollution indicator light is bright, shows that oil contamination is serious, should replace oil liquid；If
Actuator inlet pressure is lower than secure threshold and wear particle content is not up to secure threshold then pressure leakage indicator light is bright, shows
Junction part is tightened in system oil leak；If actuator inlet pressure is not up to secure threshold and wear particle content is more than safety
Threshold value, then oil liquid serious pollution indicator light is bright, and oil liquid is replaced in oily filter blocking.
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