CN115949513B - Intelligent control and adjustment method and system for valve clearance - Google Patents
Intelligent control and adjustment method and system for valve clearance Download PDFInfo
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Abstract
The invention provides an intelligent control and adjustment method and system for a valve clearance, which relate to the technical field of intelligent control and are used for acquiring material information of a valve mechanism in a target engine, analyzing material properties to acquire a plurality of machine member indexes, and generating a clearance automatic control model by using the temperature resistance, the ductility and the expansion and contraction of the machine member; the method comprises the steps of collecting a real-time working condition data set for working condition real-time temperature analysis, obtaining a working condition high-temperature index, sending the working condition high-temperature index to a gap automatic control model, obtaining a gap adjustment interval for gap adjustment, solving the technical problems that in the prior art, a valve gap adjusting and controlling method is not intelligent enough, the accuracy of an analysis flow is insufficient, the adjusting and controlling efficiency is low, the flexibility is insufficient, a certain deviation exists between a final adjusting and controlling effect and an expected value, a multidimensional index is used as a reference criterion, modeling is used for adjusting parameter analysis and evaluation, intelligent working condition adjustment analysis is achieved, adjusting efficiency and flexibility are improved, and the actual fitting degree of an adjusting effect is guaranteed.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent control and adjustment method and system for a valve clearance.
Background
In the early period of engine assembly, a certain gap is reserved between a valve and a transmission assembly, namely, the valve gap is different due to the difference of vehicle types, and the purpose of the valve assembly is also affected by certain adjustment, such as an exhaust valve and an intake valve, so that the expansion and elongation of valve and other mechanisms in a thermal state are avoided, air leakage of a cylinder is caused, and engine power is affected.
At present, the quality judgment is mainly carried out through regular investigation and gradual inspection, the adjustment scale judgment is carried out based on experience, certain manpower time loss exists, and a certain deviation exists between the investigation effect and the actual working condition due to a more conventional adjustment judgment mode so as to influence the final adjustment energy efficiency, so that the expected effect cannot be achieved.
In the prior art, the regulation and control method for the valve clearance is not intelligent enough, and the analysis flow is not strict enough, so that the regulation and control efficiency is low, the flexibility is not enough, and the final regulation and control effect is deviated from an expected value to a certain extent.
Disclosure of Invention
The application provides an intelligent control and adjustment method and system for a valve clearance, which are used for solving the technical problems that in the prior art, a valve clearance adjusting and controlling method is not intelligent enough, the analysis flow is strict enough, the adjusting and controlling efficiency is low, the flexibility is insufficient, and the final adjusting and controlling effect is deviated to a certain extent from an expected value.
In view of the above problems, the present application provides an intelligent control adjustment method and system for a valve clearance.
In a first aspect, the present application provides an intelligent control adjustment method for a valve clearance, the method including:
acquiring material information of a valve train in a target engine;
material property analysis is carried out on the material information of the valve train to obtain a plurality of machine member indexes, wherein the machine member indexes comprise machine member temperature resistance, machine member ductility and machine member expansion and contraction;
generating a gap self-control model according to the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction;
acquiring working condition data of the valve train according to the data monitoring device to obtain a real-time working condition data set;
carrying out working condition real-time temperature analysis by using the real-time working condition data set to obtain a working condition high temperature index;
and sending the working condition high temperature index to the gap automatic control model, acquiring a gap adjustment interval according to the gap automatic control model, and performing gap adjustment based on the gap adjustment interval.
In a second aspect, the present application provides an intelligent control adjustment system for a valve clearance, the system comprising:
an information acquisition module for acquiring material information of a valve train in a target engine;
the index acquisition module is used for carrying out material attribute analysis on the material information of the valve train to acquire a plurality of machine member indexes, wherein the machine member indexes comprise machine member temperature resistance, machine member ductility and machine member expansion and contraction;
the model generation module is used for generating a clearance automatic control model according to the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction property;
the data acquisition module is used for acquiring working condition data of the valve train according to the data monitoring device to obtain a real-time working condition data set;
the temperature analysis module is used for carrying out working condition real-time temperature analysis by the real-time working condition data set to obtain a working condition high temperature index;
and the gap adjusting module is used for sending the working condition high temperature index to the gap automatic control model, acquiring a gap adjusting interval according to the gap automatic control model, and adjusting the gap based on the gap adjusting interval.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the intelligent control and adjustment method for the valve clearance, provided by the embodiment of the application, material information of a valve mechanism in a target engine is obtained, and material properties are analyzed to obtain a plurality of machine member indexes including machine member temperature resistance, machine member ductility and machine member expansion and contraction; generating a gap self-control model according to the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction; according to the data monitoring device, working condition data acquisition is carried out on the valve mechanism, a real-time working condition data set is obtained, working condition real-time temperature analysis is carried out, a working condition high temperature index is obtained and sent to the gap automatic control model, a gap adjustment interval is obtained, gap adjustment is carried out based on the gap adjustment interval, the technical problems that in the prior art, a valve gap adjusting and controlling method is not intelligent enough, the analyzing process is strict enough, the adjusting and controlling efficiency is low, the flexibility is insufficient, a certain deviation exists between the final adjusting and controlling effect and an expected value are caused, a multidimensional index is taken as a reference criterion, the modeling is carried out for adjusting parameter analysis and evaluation, intelligent working condition adjusting and analysis is achieved, adjusting efficiency and flexibility are improved, and the actual fitting degree of an adjusting effect is guaranteed.
Drawings
Fig. 1 is a schematic flow chart of an intelligent control and adjustment method for valve clearance;
fig. 2 is a schematic diagram of a clearance adjustment instruction activation determination flow in an intelligent control adjustment method of a valve clearance;
fig. 3 is a schematic diagram of a gap adjustment interval optimization flow in an intelligent control adjustment method of a valve gap;
fig. 4 is a schematic structural diagram of an intelligent control and adjustment system for valve clearance.
Reference numerals illustrate: the system comprises an information acquisition module 11, an index acquisition module 12, a model generation module 13, a data acquisition module 14, a temperature analysis module 15 and a gap adjustment module 16.
Detailed Description
According to the intelligent control and adjustment method and system for the valve clearance, material information of a valve mechanism in a target engine is obtained, material properties are analyzed to obtain a plurality of machine member indexes, and a clearance automatic control model is generated according to the temperature resistance, the ductility and the expansion and contraction of the machine member; the method comprises the steps of collecting a real-time working condition data set for working condition real-time temperature analysis, obtaining a working condition high-temperature index, sending the working condition high-temperature index to a gap automatic control model, and obtaining a gap adjustment interval for gap adjustment, so that the technical problems that in the prior art, a valve gap adjusting and controlling method is not intelligent enough, an analysis flow is not strict enough, adjusting and controlling efficiency is low, flexibility is not enough, and a final adjusting and controlling effect deviates to a certain extent from an expected value are solved.
Example 1
As shown in fig. 1, the present application provides an intelligent control adjustment method of a valve clearance, where the method is applied to an intelligent control adjustment system of a valve clearance, and the system is communicatively connected to a data monitoring device, and the method includes:
step S100: acquiring material information of a valve train in a target engine;
specifically, in the early stage of engine assembly, a certain gap, namely a valve gap, is reserved between the valve and the transmission assembly, so that the expansion and elongation of valve mechanisms and the like in a thermal state are avoided, and air leakage of the cylinder is caused, and the engine power is influenced. The intelligent control and adjustment method for the valve clearance is applied to an intelligent control and adjustment system for the valve clearance, the system is a master control system for performing valve clearance monitoring and adjustment full-period management and control, the system is in communication connection with a data monitoring device, and the data monitoring device is an auxiliary device for performing real-time working condition data acquisition of a valve mechanism.
Specifically, the target engine is a device to be subjected to valve clearance regulation, valve train material collection is performed on the target engine, in general, a valve train comprises a plurality of subassemblies including a valve head, a stem, a valve spring, a valve guide pipe and the like, and as the working condition of the valve needs to be in contact with high-temperature gas and needs to bear inertia impact force, the requirement on the quality of the valve is higher, for example, the valve material can be alloy steel, and certain differences exist in the material types of different assemblies so as to adapt to the requirement of working environment. The material information may affect the deformability of the valve train and valve lash adjustment analysis may be performed based on the material information.
Step S200: material property analysis is carried out on the material information of the valve train to obtain a plurality of machine member indexes, wherein the machine member indexes comprise machine member temperature resistance, machine member ductility and machine member expansion and contraction;
specifically, the target engine is subjected to valve train material collection, material attribute analysis based on material information, evaluation based on multidimensional analysis cut-in points, and as the valve train is in a high-temperature environment in a working state and needs to bear certain inertial impact force, different machine train working main directions are different, so that attribute differences of machine train preparation materials, such as a valve head part needing to bear high temperature and a valve stem part needing to bear high pressure, index parameter evaluation is performed on the valve train based on the machine train temperature resistance, the machine train ductility and the machine train expansion and contraction performance, the machine train temperature resistance is determined based on the machine train ductility and the machine train expansion and contraction performance qualitative machine train deformation and restoration capability, the machine train thermal load analysis is performed on the machine train, and the machine train indexes are obtained, wherein the machine train indexes refer to multidimensional index parameters of the machine trains, performance analysis is performed on the valve train indexes based on the machine train indexes, and valve train clearance determination is performed based on the work tolerance.
Step S300: generating a gap self-control model according to the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction;
specifically, the machine member temperature resistance, the machine member ductility and the machine member expansion and contraction property are configured with a multi-stage matching layer, the multi-stage matching layer is consistent with the index quantity, index grading is further performed, a plurality of groups of index matching nodes are configured for the multi-stage matching layer, and the indexes are corresponding to each other. The method comprises the steps of carrying out large data investigation and statistics on the basis of the machine element temperature resistance, the machine element ductility and the machine element expansion and contraction performance, determining adaptive valve clearances under different levels of index parameters, mapping and corresponding the adaptive valve clearances and the multi-level index parameters, and training the multi-level matching layer and the decision layer, wherein the multi-level matching layer is a same-level network layer, the multi-level matching layer and the decision layer are connected in a node-associated mode, the clearance automatic control model is generated, and is an auxiliary tool for carrying out engine valve clearance decision analysis, so that the accuracy and objectivity of a decision result can be effectively improved.
Step S400: acquiring working condition data of the valve train according to the data monitoring device to obtain a real-time working condition data set;
specifically, the valve mechanism is subjected to data acquisition demand analysis, a plurality of demand positioning points are determined, the plurality of demand positioning points are used as data acquisition positions, working condition temperature, stress live condition, machine part index variable and the like are used as data acquisition directions, and a preset time interval, namely a preset time zone for data acquisition is defined. Based on the preset time interval, real-time working condition data acquisition is carried out on the plurality of demand positioning points based on the data monitoring device, valve train corresponding identification is carried out on the data acquisition result, data attribution integration is carried out to generate a real-time working condition data set, and the real-time working condition data set is actual reference source data to be subjected to valve clearance analysis.
Step S500: carrying out working condition real-time temperature analysis by using the real-time working condition data set to obtain a working condition high temperature index;
step S600: and sending the working condition high temperature index to the gap automatic control model, acquiring a gap adjustment interval according to the gap automatic control model, and performing gap adjustment based on the gap adjustment interval.
Specifically, a machine part temperature dataset is extracted based on the actual working condition dataset, machine part and temperature data mapping correspondence is carried out, temperature change analysis is carried out on each machine part, corresponding temperature change characteristics are extracted, the machine part temperature prediction is carried out by taking the machine part temperature as a temperature prediction basis, whether a predicted result reaches the valve clearance adjustment necessity moment or not is judged, and the working condition high temperature index, namely the predicted working condition temperature limit, is obtained. And the valve clearance adjustment analysis is further carried out, wherein the judgment data of the air inlet machine part and the air outlet machine part are different, and the specific analysis is needed to be carried out aiming at specific working condition information so as to ensure the accuracy and the flexibility of the subsequent clearance adjustment.
Further, the working condition high temperature index is sent to the gap automatic control model, the gap automatic control analysis model is an auxiliary analysis tool for performing gap control scale analysis and evaluation, and the gap adjustment interval is output through level identification matching and decision analysis, namely the adjustment scale of the valve gap is performed. And analyzing historical operation loss of the target engine, optimizing and adjusting the gap adjusting section by taking machine element loss as an adjusting influence factor, configuring a preferential adjusting mode to adjust the valve gap of the engine, and maintaining stable operation of the generator so as to avoid risks.
Further, as shown in fig. 2, the real-time temperature analysis of the working condition is performed by using the real-time working condition data set, and step S500 of the present application further includes:
step S510: acquiring a machine part temperature data set according to the real-time working condition data set;
step S520: performing change analysis on the machine element temperature data set to obtain a temperature change characteristic;
step S530: predicting the machine part temperature according to the temperature change characteristics to obtain a predicted temperature;
step S540: judging whether the predicted temperature reaches a preset temperature or not, and if the predicted temperature reaches the preset temperature, activating a clearance adjusting instruction.
Further, predicting the machine element temperature according to the temperature variation characteristic to obtain a predicted temperature, and step S530 of the present application further includes:
step S531: acquiring the temperature change characteristics, wherein the temperature change characteristics comprise temperature rising property, high-temperature persistence and temperature value stability;
step S532: performing characteristic fitting according to the temperature rising property, the high-temperature persistence and the temperature value stability to obtain a characteristic fitting result;
step S533: and predicting the machine part temperature according to the characteristic fitting result to obtain the predicted temperature.
Specifically, based on the real-time working condition data set, a real-time working condition temperature data set is extracted, the working condition temperatures of different machine parts are different, and the working condition temperatures of a plurality of machine parts are determined and used as the machine part temperature data set. And determining the temperature bearing condition and the temperature change condition of each machine element based on the machine element temperature data set. The temperature bearing condition is acquired actual temperature data, including the ambient temperature and the machine member temperature, and is a main basis for temperature prediction, the temperature bearing condition is an expansion scale in a temperature bearing state, and the temperature bearing condition can be used as auxiliary reference information to determine unit expansion scale and working condition temperature change information of each machine member as the temperature change characteristics. And predicting the machine part temperature by taking the temperature change characteristic as a temperature prediction reference basis.
Specifically, by performing temperature change analysis on the machine member temperature dataset to obtain the temperature change characteristic, the temperature change characteristic may be specified as the temperature rising property, the high temperature persistence and the temperature value stability, a plurality of time nodes are equally divided and defined based on the preset time interval, the plurality of time nodes perform temperature change characteristic analysis, and exemplary, the time and the temperature change characteristic are taken as coordinate axes to construct a coordinate system, and based on the plurality of time nodes, characteristic value positioning is performed on the temperature rising property, the high temperature persistence and the temperature value stability in the coordinate system to construct a plurality of trend maps, wherein the plurality of trend maps are in the same coordinate system. And further carrying out fitting treatment on the trend patterns to realize characteristic fitting so as to carry out characteristic comprehensive analysis, generating a characteristic fitting result, predicting the machine part temperature based on the characteristic fitting result to determine the machine part temperature under the subsequent working condition, obtaining the predicted temperature, and effectively improving the accuracy and the actual fitting degree of the predicted temperature by carrying out multidimensional temperature change characteristic comprehensive analysis and evaluation, wherein the predicted temperature is used as a judgment basis of the valve clearance.
Further, the preset temperature is obtained, that is, the valve expansion is caused by reaching the temperature threshold, and the valve clearance adjustment temperature threshold is needed. Judging whether the predicted temperature reaches the preset temperature, when the predicted temperature reaches the preset temperature, indicating that the current valve clearance cannot meet the normal operation of an engine, and activating the clearance adjustment instruction, wherein the clearance adjustment instruction is a starting instruction for valve clearance adjustment, and the potential risk and the valve clearance adjustment necessity exist; when the engine is not in the normal running state, the engine is in the current state. By means of real-time temperature data analysis, the adjustment time of the valve clearance can be accurately predicted and judged, and the adjustment timeliness is achieved.
Further, step S540 of the present application further includes:
step S541: performing valve train performance evaluation according to the machine member temperature resistance, the machine member ductility and the machine member collapsibility to obtain a temperature-gap mapping result;
step S542: if the valve train is an air inlet machine member, a first preset gap interval is obtained;
step S543: determining a first safety clearance value according to the first preset clearance interval;
step S544: and converting the first safety gap value according to the temperature-gap mapping result to obtain a first safety temperature, and taking the first safety temperature as the preset temperature.
Further, step S541 of the present application further includes:
step S5411: if the valve train is a vent mechanism, a second preset gap interval is obtained;
step S5412: determining a second safety gap value according to the second preset gap interval;
step S5413: and converting the second safety gap value according to the temperature-gap mapping result, obtaining a second safety temperature, and taking the second safety temperature as the preset temperature.
Specifically, based on the temperature change characteristics, unit expansion scale and working condition temperature change information of each machine part are extracted, the unit expansion scale and working condition temperature change information are used as reference criteria, the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction property are used as evaluation directions, valve train performance evaluation is carried out according to real-time states of the machine parts, valve clearance data at different temperature levels are determined, mapping correlation is carried out with corresponding temperatures, and the temperature-clearance mapping result is generated. And further judging the layout position and the application of the valve mechanism, wherein the ranges of the air inlet mechanism and the air outlet mechanism are different, the gap of the air inlet valve is between 0.2 and 0.25, the thermal expansion scale of the air outlet valve is larger than that of the air outlet valve, and the gap is between 0.29 and 0.35, so that the difference exists in corresponding gap adjustment data, and the specific judgment is needed.
Specifically, when the valve train is the air intake train, taking an air intake valve gap as the first preset gap interval, determining a gap critical value which can normally operate after temperature rise based on the first preset gap interval, namely, the first safety gap value, for example, the first safety gap value can be 0.2, further traversing the temperature-gap mapping result, performing matching based on the first safety gap value, determining temperature data corresponding to the matching result, taking the temperature data as the first safety temperature, and setting the first safety temperature as the preset temperature of the air intake train.
Further, when the valve train is the air outlet machine member, taking the air outlet valve gap as the second preset gap interval, determining a gap critical value which can normally operate after the air outlet assembly is heated based on the second preset gap interval, namely, the second safety gap value, for example, the second safety gap value can be 0.29, further traversing the temperature-gap mapping result, performing matching based on the second safety gap value, determining corresponding temperature data as the second safety temperature, and taking the second safety temperature as the preset temperature of the air outlet machine member. And the targeted analysis is carried out based on the valve application, the determined fitting degree of the preset temperature and the actual working condition state can be effectively ensured, targeted controllable adjustment of the two-way analysis of air intake and air exhaust is realized, and the flexibility and accuracy of the subsequent valve clearance adjustment are improved.
Further, as shown in fig. 3, step S600 of the present application further includes:
step S610-1: acquiring historical use information of the target engine, wherein the historical use information comprises working time, use frequency and maintenance times;
step S620-1: performing valve train loss analysis on the target engine according to the working time, the using frequency and the maintenance frequency to obtain a machine train loss index;
step S630-1: and performing secondary optimization on the gap adjustment interval according to the machine element loss index.
Specifically, factory time limit collection is carried out on the target engine, a historical use time zone is determined and used as the working time, a use record of the target engine is called based on the historical use time zone, identification statistics and time sequence identification are carried out on the use frequency and the maintenance frequency based on the use record, and the working time, the use frequency and the maintenance frequency are used as the historical use information. And acquiring production specifications of the valve train of the target engine, carrying out loss analysis on the valve train based on the working time length, the use frequency and the maintenance frequency, and preferably, taking the usable time length of the target engine as auxiliary reference information, wherein the performance loss degree of the valve train is in direct proportion to the working time length, the use frequency and the maintenance frequency, and generating the machine train loss index which is expressed by the performance loss degree of the valve train of the target engine, namely, the part wear of a valve train. And the machine element loss index is used as a clearance adjustment influence factor to correct and optimize the clearance adjustment interval, the higher the machine element loss index is, the worse the component performance is, the lower the control energy efficiency is, and the performance loss of the historical use process of the component can be eliminated by performing secondary optimization on the clearance adjustment interval so as to improve the control accuracy.
Further, the step S600 of the present application further includes:
step S610-2: acquiring an adjustable mode according to the valve adjusting terminal system, wherein the adjustable mode comprises a plurality of adjusting modes;
step S620-2: the gap adjustment interval is sent to the valve adjustment terminal system, and based on the gap adjustment interval and the adjustable mode, one-to-one matching is carried out, so that a plurality of matching indexes of the corresponding efficiency of the identification adjustment mode are obtained;
step S630-2: and acquiring a first adjusting mode according to the plurality of matching indexes, and adjusting in the first adjusting mode.
Specifically, the valve adjustment terminal system is a management system for performing valve clearance adjustment, and based on the valve adjustment terminal system, a plurality of adjustment modes including a plurality of effective adjustment modes that have been put into use at present, for example, a cylinder adjustment method, are called, and the plurality of adjustment modes have different preferences under different adjustment conditions, and the adjustable modes are obtained. And sending the gap adjustment interval to the valve adjustment terminal system, traversing the adjustable mode, matching with the gap adjustment interval, evaluating the adjustment energy efficiency of the adjustable mode, and carrying out adjustment mode identification to generate the plurality of matching indexes, namely, the visual display data for expressing the adjustment energy efficiency of the adjustment mode. And (3) carrying out descending order on the plurality of matching indexes, determining the highest matching index, taking the corresponding adjusting mode as the first adjusting mode, wherein the first adjusting mode is the current optimal adjusting mode, the adjusting effect of the first adjusting mode is the highest in degree of agreement with the actual expected value, and carrying out valve clearance adjustment based on the first adjusting mode to maintain the normal and stable operation of the generator.
Example two
Based on the same inventive concept as the intelligent control adjustment method of a valve clearance in the foregoing embodiment, as shown in fig. 4, the present application provides an intelligent control adjustment system of a valve clearance, the system includes:
an information acquisition module 11, the information acquisition module 11 being configured to acquire material information of a valve train in a target engine;
an index obtaining module 12, wherein the index obtaining module 12 is used for performing material attribute analysis on material information of the valve train to obtain a plurality of machine member indexes, and the machine member indexes comprise machine member temperature resistance, machine member ductility and machine member expansion and contraction;
the model generation module 13 is used for generating a clearance automatic control model according to the machine element temperature resistance, the machine element ductility and the machine element expansion and contraction;
the data acquisition module 14 is used for acquiring working condition data of the valve train according to the data monitoring device, so as to obtain a real-time working condition data set;
the temperature analysis module 15 is used for carrying out real-time temperature analysis on the working condition by the real-time working condition data set to obtain a working condition high temperature index;
and the gap adjusting module 16 is used for sending the working condition high temperature index to the gap automatic control model, acquiring a gap adjusting section according to the gap automatic control model, and adjusting the gap based on the gap adjusting section.
Further, the system further comprises:
the adjusting mode acquisition module is used for acquiring an adjustable mode according to the valve adjusting terminal system, wherein the adjustable mode comprises a plurality of adjusting modes;
the mode matching module is used for sending the gap adjustment interval to the valve adjustment terminal system, and based on the gap adjustment interval and the adjustable mode, the mode matching module performs one-to-one matching to obtain a plurality of matching indexes of the corresponding efficiency of the identification adjustment mode;
the first adjustment mode acquisition module is used for acquiring a first adjustment mode according to the plurality of matching indexes and adjusting the first adjustment mode.
Further, the system further comprises:
the temperature data acquisition module is used for acquiring a machine part temperature data set according to the real-time working condition data set;
the temperature change characteristic acquisition module is used for carrying out change analysis on the machine part temperature data set to obtain temperature change characteristics;
the temperature prediction module is used for predicting the machine part temperature according to the temperature change characteristics to obtain a predicted temperature;
the instruction activation module is used for judging whether the predicted temperature reaches a preset temperature or not, and activating a clearance adjustment instruction if the predicted temperature reaches the preset temperature.
Further, the system further comprises:
the mapping result acquisition module is used for evaluating valve train performance according to the machine member temperature resistance, the machine member ductility and the machine member collapsibility to acquire a temperature-gap mapping result;
the first preset gap interval acquisition module is used for acquiring a first preset gap interval if the valve train is an air inlet machine member;
the first safety clearance value acquisition module is used for determining a first safety clearance value according to the first preset clearance interval;
the first safe temperature acquisition module is used for converting the first safe gap value according to the temperature-gap mapping result, acquiring a first safe temperature and taking the first safe temperature as the preset temperature.
Further, the system further comprises:
the second preset gap interval acquisition module is used for acquiring a second preset gap interval if the valve train is an exhaust part;
the second safety clearance value acquisition module is used for determining a second safety clearance value according to the second preset clearance interval;
the second safe temperature acquisition module is used for converting the second safe gap value according to the temperature-gap mapping result, acquiring a second safe temperature and taking the second safe temperature as the preset temperature.
Further, the system further comprises:
the historical use information acquisition module is used for acquiring historical use information of the target engine, including working time, use frequency and maintenance times;
the loss index acquisition module is used for carrying out valve train loss analysis on the target engine according to the working time, the use frequency and the maintenance frequency to obtain a machine element loss index;
and the interval optimization module is used for secondarily optimizing the gap adjustment interval according to the machine element loss index.
Further, the system further comprises:
the characteristic acquisition module is used for acquiring the temperature change characteristics, wherein the temperature change characteristics comprise temperature rising property, high-temperature persistence and temperature value stability;
the characteristic fitting module is used for carrying out characteristic fitting according to the temperature rising property, the high-temperature persistence and the temperature value stability to obtain a characteristic fitting result;
and the predicted temperature acquisition module is used for predicting the machine part temperature according to the characteristic fitting result and acquiring the predicted temperature.
The foregoing detailed description of an intelligent control and adjustment method for a valve clearance will be apparent to those skilled in the art, and the device disclosed in this embodiment is relatively simple to describe, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. An intelligent control and regulation method for a valve clearance, wherein the method is applied to an intelligent control and regulation system for the valve clearance, the system is in communication connection with a data monitoring device, and the method comprises the following steps:
acquiring material information of a valve train in a target engine;
material property analysis is carried out on the material information of the valve train to obtain a plurality of machine member indexes, wherein the machine member indexes comprise machine member temperature resistance, machine member ductility and machine member expansion and contraction;
generating a gap self-control model according to the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction;
acquiring working condition data of the valve train according to the data monitoring device to obtain a real-time working condition data set;
carrying out working condition real-time temperature analysis by using the real-time working condition data set to obtain a working condition high temperature index;
transmitting the working condition high temperature index to the gap automatic control model, acquiring a gap adjustment interval according to the gap automatic control model, and performing gap adjustment based on the gap adjustment interval;
wherein, carry out operating mode real-time temperature analysis with real-time operating mode dataset, include:
acquiring a machine part temperature data set according to the real-time working condition data set;
performing change analysis on the machine element temperature data set to obtain a temperature change characteristic;
predicting the machine part temperature according to the temperature change characteristics to obtain a predicted temperature;
judging whether the predicted temperature reaches a preset temperature or not, and if the predicted temperature reaches the preset temperature, activating a clearance adjusting instruction.
2. The method of claim 1, wherein gap adjustment is based on the gap adjustment interval, the method further comprising:
acquiring an adjustable mode according to the valve adjusting terminal system, wherein the adjustable mode comprises a plurality of adjusting modes;
the gap adjustment interval is sent to the valve adjustment terminal system, and based on the gap adjustment interval and the adjustable mode, one-to-one matching is carried out, so that a plurality of matching indexes of the corresponding efficiency of the identification adjustment mode are obtained;
and acquiring a first adjusting mode according to the plurality of matching indexes, and adjusting in the first adjusting mode.
3. The method of claim 1, wherein the method further comprises:
performing valve train performance evaluation according to the machine member temperature resistance, the machine member ductility and the machine member collapsibility to obtain a temperature-gap mapping result;
if the valve train is an air inlet machine member, a first preset gap interval is obtained;
determining a first safety clearance value according to the first preset clearance interval;
and converting the first safety gap value according to the temperature-gap mapping result to obtain a first safety temperature, and taking the first safety temperature as the preset temperature.
4. A method as claimed in claim 3, wherein the method further comprises:
if the valve train is a vent mechanism, a second preset gap interval is obtained;
determining a second safety gap value according to the second preset gap interval;
and converting the second safety gap value according to the temperature-gap mapping result, obtaining a second safety temperature, and taking the second safety temperature as the preset temperature.
5. The method of claim 1, wherein the method further comprises:
acquiring historical use information of the target engine, wherein the historical use information comprises working time, use frequency and maintenance times;
performing valve train loss analysis on the target engine according to the working time, the using frequency and the maintenance frequency to obtain a machine train loss index;
and performing secondary optimization on the gap adjustment interval according to the machine element loss index.
6. The method of claim 1, wherein predicting the machine temperature with the temperature change characteristic, obtaining a predicted temperature, the method further comprising:
acquiring the temperature change characteristics, wherein the temperature change characteristics comprise temperature rising property, high-temperature persistence and temperature value stability;
performing characteristic fitting according to the temperature rising property, the high-temperature persistence and the temperature value stability to obtain a characteristic fitting result;
and predicting the machine part temperature according to the characteristic fitting result to obtain the predicted temperature.
7. An intelligent control and regulation system for valve lash, the system being in communication with a data monitoring device, the system comprising:
an information acquisition module for acquiring material information of a valve train in a target engine;
the index acquisition module is used for carrying out material attribute analysis on the material information of the valve train to acquire a plurality of machine member indexes, wherein the machine member indexes comprise machine member temperature resistance, machine member ductility and machine member expansion and contraction;
the model generation module is used for generating a clearance automatic control model according to the machine part temperature resistance, the machine part ductility and the machine part expansion and contraction property;
the data acquisition module is used for acquiring working condition data of the valve train according to the data monitoring device to obtain a real-time working condition data set;
the temperature analysis module is used for carrying out working condition real-time temperature analysis by the real-time working condition data set to obtain a working condition high temperature index;
the gap adjusting module is used for sending the working condition high temperature index to the gap automatic control model, acquiring a gap adjusting interval according to the gap automatic control model, and adjusting the gap based on the gap adjusting interval;
the temperature data acquisition module is used for acquiring a machine part temperature data set according to the real-time working condition data set;
the temperature change characteristic acquisition module is used for carrying out change analysis on the machine part temperature data set to obtain temperature change characteristics;
the temperature prediction module is used for predicting the machine part temperature according to the temperature change characteristics to obtain a predicted temperature;
the instruction activation module is used for judging whether the predicted temperature reaches a preset temperature or not, and activating a clearance adjustment instruction if the predicted temperature reaches the preset temperature.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005133601A (en) * | 2003-10-29 | 2005-05-26 | Nissan Motor Co Ltd | Intake gas temperature inferring device for engine |
| JP2009257229A (en) * | 2008-04-17 | 2009-11-05 | Denso Corp | Valve timing control device and valve timing control system |
| DE102012009878B3 (en) * | 2012-05-18 | 2013-06-13 | Gerhard Kirstein | Internal combustion engine, has control device automatically adjusting throttle valve-base angle based on predetermined throttle gap-based-measuring signal parameter such that predetermined base-rotational speed of engine is reached |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB408131A (en) * | 1932-08-17 | 1934-04-05 | Thompson Prod Inc | Improvements in mechanical clearance regulators for the valve gear of internal combustion engines |
| DE10020120A1 (en) * | 2000-04-22 | 2001-10-25 | Schaeffler Waelzlager Ohg | Device for changing valve timings of internal combustion engine has pressure chambers in vaned rotor sealed by axial pendulum type sealing strips which can pivot in both rotational directions of rotor vanes |
| US6997146B2 (en) * | 2002-05-22 | 2006-02-14 | Toyota Jidosha Kabushiki Kaisha | Start control method and apparatus for solenoid-operated valves of internal combustion engine |
| JP4029784B2 (en) * | 2003-06-27 | 2008-01-09 | 日産自動車株式会社 | Valve clearance estimation device for internal combustion engine |
| JP3992000B2 (en) * | 2004-02-19 | 2007-10-17 | 日産自動車株式会社 | Intake / exhaust valve temperature estimation device and valve clearance amount estimation device for an internal combustion engine |
| JP2007063994A (en) * | 2005-08-29 | 2007-03-15 | Nissan Motor Co Ltd | Valve temperature estimating device of internal combustion engine and valve clearance quantity estimating device using this device |
| US8286471B2 (en) * | 2009-01-13 | 2012-10-16 | Ford Global Technologies, Llc | Variable displacement engine diagnostics |
| US9885258B2 (en) * | 2010-03-19 | 2018-02-06 | Eaton Corporation | Latch interface for a valve actuating device |
| JP5589686B2 (en) * | 2010-09-06 | 2014-09-17 | トヨタ自動車株式会社 | Engine control device |
| EP3216991B1 (en) * | 2013-02-22 | 2019-04-03 | Eaton Corporation | Custom vva rocker arms for left hand and right hand orientations |
| US9933334B2 (en) * | 2015-06-22 | 2018-04-03 | General Electric Company | Cylinder head acceleration measurement for valve train diagnostics system and method |
| CN108518256B (en) * | 2018-03-30 | 2020-08-21 | 潍柴动力股份有限公司 | Valve mechanism capable of monitoring valve clearance on line and engine |
| CN110210459A (en) * | 2019-06-24 | 2019-09-06 | 北京航空航天大学 | A kind of prediction technique and prediction meanss of engine valve clearance |
| CN110761866B (en) * | 2019-12-25 | 2020-05-01 | 潍柴动力股份有限公司 | Method and system for evaluating valve clearance adjustment period |
| CN211202075U (en) * | 2019-12-31 | 2020-08-07 | 绵阳华博精工机械有限公司 | Hydraulic tappet for adjusting engine valve clearance |
| US11268411B2 (en) * | 2020-06-05 | 2022-03-08 | Caterpillar Inc. | System and method for engine valve lash calibration |
| CN212985321U (en) * | 2020-07-29 | 2021-04-16 | 绵阳华博精工机械有限公司 | Hydraulic tappet |
-
2023
- 2023-03-15 CN CN202310244739.6A patent/CN115949513B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005133601A (en) * | 2003-10-29 | 2005-05-26 | Nissan Motor Co Ltd | Intake gas temperature inferring device for engine |
| JP2009257229A (en) * | 2008-04-17 | 2009-11-05 | Denso Corp | Valve timing control device and valve timing control system |
| DE102012009878B3 (en) * | 2012-05-18 | 2013-06-13 | Gerhard Kirstein | Internal combustion engine, has control device automatically adjusting throttle valve-base angle based on predetermined throttle gap-based-measuring signal parameter such that predetermined base-rotational speed of engine is reached |
Non-Patent Citations (2)
| Title |
|---|
| 某型航空活塞发动机调贫阈值的实验测定;孟现召;唐晓波;;航空动力学报(第03期);全文 * |
| 柴油机气门间隙柔性自动调整系统设计与研究;张军杰;申庆元;;内燃机(第06期);全文 * |
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Denomination of invention: An intelligent control and adjustment method and system for valve clearance Granted publication date: 20230530 Pledgee: China Construction Bank Corporation Mianyang Branch Pledgor: MIANYANG HUABO SEIKO MACHINERY Co.,Ltd. Registration number: Y2024980032455 |
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