Engine piston temperature measuring device and temperature measuring method
Through the engine piston temperature measurement device, the detection component and temperature measurement component combined with the neural network model are used to solve the problem of difficult measurement of piston temperature in high-temperature and high-pressure environments, and the accurate measurement of engine piston temperature is achieved and the temperature measurement ability is improved.
Patent Information
- Application Number
- CN202411258857.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-09
- Publication Date
- 2024-12-27
AI Technical Summary
The prior art cannot accurately measure the true temperature value of the engine piston in the working state, and cannot provide accurate data support for engine research and development, especially in high-temperature and high-pressure environments, which are difficult to measure temperature.
The engine piston temperature measurement device is adopted, including testing components, detection components and temperature measurement components. Through vehicle operating conditions, surface quality detection and alloy state detection, the preset temperature measurement model (data set obtained by training from the target neural network ) Calculate the real temperature of the piston, and combine software simulation and visual sensor to obtain the real temperature value at the top of the piston.
It improves the temperature measurement capability of the piston under high temperature and high pressure, can accurately measure the working state temperature of the piston, and provides more accurate data to support engine development.
Smart Images

Figure CN119198103A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of vehicles, and in particular to an engine piston temperature measuring device and a temperature measuring method. Background Art
[0002] With the development of technology, the engines currently under development are smaller in size, lighter in weight, and more powerful. They will also generate a lot of heat. In order to improve the thermal efficiency of the engine, these thermal problems need to be solved.
[0003] In the prior art, in order to solve this thermal problem, the temperature of the piston is directly measured when the engine is disassembled for inspection.
[0004] However, the current method cannot determine the piston temperature distribution in advance and accurately measure the actual temperature value of the piston under working conditions, and cannot provide accurate data support for engine research and development, which needs to be solved urgently. Summary of the invention
[0005] The present invention provides an engine piston temperature measuring device and a temperature measuring method, so as to solve the problem that it is difficult to measure the working temperature of the piston due to a very harsh working environment of the piston, and improve the temperature measuring capability of the piston under high temperature and high pressure.
[0006] A first aspect of the present invention provides an engine piston temperature measuring device, comprising: a test component, in which a piston to be tested is installed, for performing a whole vehicle operating condition test; a detection component, for performing surface quality detection and alloy state detection on the piston to be tested after the whole vehicle operating condition test, and obtaining a current surface quality detection result and a current alloy state detection result; a temperature measurement component, for inputting the current surface quality detection result and the current alloy state detection result into a preset temperature measurement model, and obtaining the actual surface temperature of the piston to be tested, wherein the preset temperature measurement model is obtained by training a target neural network with a detection result data set.
[0007] Furthermore, in one embodiment, the engine piston temperature measuring device further includes: an analysis component for performing simulation analysis on the piston operating temperature to determine the piston temperature measurement area.
[0008] Further, in one embodiment, the piston temperature measurement area includes a piston top temperature measurement area and a piston head temperature measurement area.
[0009] Further, in one embodiment, the piston top temperature measurement area and the piston head temperature measurement area both have a plurality of measurement point holes that meet a preset diameter and a preset depth.
[0010] Furthermore, in one embodiment, hardness plugs are screwed into the multiple measuring point holes.
[0011] Furthermore, in one embodiment, the material of the hardness plug is alloy.
[0012] Further, in one embodiment, the top plane of the hardness plug is flush with the tested plane of the piston to be tested.
[0013] The engine piston temperature measuring device provided by the embodiment of the present invention calculates the temperature distribution in the cylinder through software simulation, determines the alloy position, and inspects the piston when the vehicle is disassembled and inspected in the corresponding working condition. The state of the alloy is captured by the visual sensor, and the real temperature value of the top of the piston is obtained through big data measurement. The problem that it is difficult to obtain the temperature of the piston when it is working due to the harsh working environment of the piston is solved, and the temperature measurement capability of the piston under high temperature and high pressure is improved.
[0014] The second aspect of the present invention provides an engine piston temperature measurement method, which adopts the engine piston temperature measurement device as described in the first aspect of the present invention, including: using the test component to perform a whole vehicle operating condition test on the piston to be tested; performing surface quality inspection and alloy state inspection on the piston to be tested after the whole vehicle operating condition test to obtain current surface quality inspection results and current alloy state inspection results; inputting the current surface quality inspection results and current alloy state inspection results into a preset temperature measurement model to obtain the actual surface temperature of the piston to be tested, wherein the preset temperature measurement model is obtained by training a target neural network with a detection result data set.
[0015] Furthermore, in one embodiment, before using the test assembly to perform a whole vehicle operating condition test on the piston to be tested, it also includes: performing a simulation analysis on the piston working temperature to determine the piston temperature measurement zone, wherein the piston temperature measurement zone includes a piston top temperature measurement zone and a piston head temperature measurement zone; screwing hardness plugs into the measuring point holes of the piston top temperature measurement zone and the piston head temperature measurement zone to obtain the piston to be tested.
[0016] Furthermore, in one embodiment, before the current surface quality test results and the current alloy state test results are input into a preset temperature measurement model, it also includes: obtaining a test result data set, wherein the test result data set includes multiple groups of data corresponding to surface quality test results, alloy state test results and temperature; dividing the multiple groups of data into a training set and a test set, and using the test set to train the target neural network to obtain an initial temperature measurement model; using the test set to verify the initial temperature measurement model, if the verification result meets the preset conditions, the initial temperature measurement model is used as the preset temperature measurement model, otherwise, adjusting the division ratio of the training set and the test set, and retraining the target neural network until the verification result of the new initial temperature measurement model meets the preset conditions.
[0017] According to the engine piston temperature measurement method provided by the embodiment of the present invention, the temperature distribution in the cylinder is calculated through software simulation to determine the alloy position. When the vehicle is disassembled and inspected after running the corresponding working condition, the piston is inspected, the alloy state is captured by the visual sensor, and the real temperature value of the top of the piston is obtained through big data measurement. The problem of difficulty in obtaining the temperature of the piston when it is working due to the harsh working environment of the piston is solved, and the temperature measurement capability of the piston under high temperature and high pressure is improved.
[0018] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0020] Figure 1 It is a block diagram of an engine piston temperature measuring device provided according to an embodiment of the present invention;
[0021] Figure 2 It is a structural schematic diagram of an engine piston temperature measuring device according to a specific embodiment of the present invention;
[0022] Figure 3 It is a structural schematic diagram of a temperature measuring hole of an engine piston according to a specific embodiment of the present invention;
[0023] Figure 4 The present invention is a flow chart of an engine piston temperature measurement method according to an embodiment of the present invention. DETAILED DESCRIPTION
[0024] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.
[0025] The following describes the engine piston temperature measurement device and temperature measurement method of the embodiment of the present invention with reference to the accompanying drawings. In view of the problem mentioned in the above background technology that the real temperature value of the piston in the working state cannot be accurately measured, the temperature distribution in the cylinder can be calculated through software simulation to determine the alloy position. When the vehicle is disassembled and inspected for the corresponding working condition, the piston is inspected, the alloy state is captured by a visual sensor, and the real temperature value of the top of the piston is obtained through big data measurement. The problem of being unable to accurately measure the real temperature value of the piston in the working state is solved, and the temperature measurement capability of the piston under high temperature and high pressure is improved.
[0026] Figure 1A block diagram of an engine piston temperature measuring device provided by an embodiment of the present invention.
[0027] like Figure 1 As shown, the engine piston temperature measuring device 10 includes: a test component 100 , a detection component 200 and a temperature measuring component 300 .
[0028] Among them, the test component 100 is installed with a piston to be tested, which is used for performing a whole vehicle working condition test; the detection component 200 is used to perform surface quality detection and alloy state detection on the piston to be tested after the whole vehicle working condition test, and obtain the current surface quality detection result and the current alloy state detection result; the temperature measurement component 300 is used to input the current surface quality detection result and the current alloy state detection result into a preset temperature measurement model to obtain the actual surface temperature of the piston to be tested, wherein the preset temperature measurement model is obtained by training the target neural network with the detection result data set.
[0029] Among them, the piston to be tested is a crucial component in the whole vehicle working condition test, and its performance and status directly affect the accuracy and reliability of the test results. In the whole vehicle working condition test, the piston is subjected to the impact of high temperature and high pressure gas and drives the crankshaft to rotate. Its performance has a direct impact on the engine performance. Therefore, the test of the piston needs to be comprehensive and meticulous, including checking the wear of the piston head and skirt, measuring the side clearance and end clearance of the piston ring, and checking the matching clearance between the piston pin and the retaining ring.
[0030] Optionally, surface quality inspection focuses on the surface defect status. Through appearance inspection and analysis, the surface quality status can be clearly understood. Alloy state inspection focuses on the chemical composition, mechanical properties and process of the alloy. Through spectral analysis, physical property testing and other methods, the state and performance of the alloy can be fully understood.
[0031] Specifically, Figure 2 As shown, Figure 2 The present invention is a schematic diagram of the structure of an engine piston temperature measuring device 10 according to a specific embodiment of the present invention, and the engine piston temperature measuring device 10 comprises a test assembly 100, a detection assembly 200 and a temperature measuring assembly 300. The test assembly 100 comprises a piston connecting rod 101, a piston 102, a piston top temperature measuring device 103, a piston head temperature measuring device 104, a cylinder barrel 105, a cylinder head 106 and a cylinder gasket 107, and the detection assembly 200 comprises a first visual sensor 209 and a second visual sensor 210.
[0032] Specifically, after the piston 102, the cylinder barrel 105, the cylinder head 106 and the cylinder gasket 107 are installed, the whole vehicle working condition test is performed on the piston to be tested. The first visual sensor 209 and the second visual sensor 210 are used to perform surface quality detection and alloy state detection on the piston to be tested after the whole vehicle working condition test to obtain the current surface quality detection result and the current alloy state detection result.
[0033] Optionally, the temperature of the piston 102 when running at high speed can be truly measured by a temperature measuring device.
[0034] It should be noted that, before inputting the current surface quality test results and the current alloy state test results into the preset temperature measurement model, the embodiment of the present invention can pre-train the temperature measurement model. Specifically, the embodiment of the present invention can obtain multiple sets of data corresponding to the surface quality test results, the alloy state test results and the temperature; divide the multiple sets of data into training sets and test sets, and use the test set to train the target neural network to obtain the initial temperature measurement model; use the test set to verify the initial temperature measurement model, if the verification result meets the preset conditions, the initial temperature measurement model is used as the preset temperature measurement model, otherwise, adjust the division ratio of the training set and the test set, and retrain the target neural network until the verification result of the new initial temperature measurement model meets the preset conditions.
[0035] In one embodiment, the piston temperature measurement area includes a piston top temperature measurement area 103 and a piston head temperature measurement area 104 .
[0036] In one embodiment, the piston top temperature measuring area 103 and the piston head temperature measuring area 104 both have a plurality of measuring point holes that meet a preset diameter and a preset depth.
[0037] Optionally, in one embodiment, hardness plugs are screwed into the holes of multiple measuring points.
[0038] Optionally, in one embodiment, the material of the hardness plug is an alloy.
[0039] Optionally, in one embodiment, the top plane of the hardness plug is flush with the tested plane of the piston to be tested.
[0040] Among them, Figure 2 As shown, a hole with a depth of (4-4.5) mm is drilled by a Φ2.5 mm drill bit, and a tap with a flat taper tip is used to tap the hole so that the bottom of the screw hole is kept as flat as possible, thereby obtaining the piston top temperature measurement area 103 and the piston head temperature measurement area 104. When the hardness plug is screwed into the measuring point hole, the top plane of the hardness plug is required to be flush with the measured plane (or slightly concave). When the measured piston is a steel piston, the hardness plug will not fly off because the thermal expansion coefficient is basically the same.
[0041] Among them, combined Figure 2 and Figure 3 As shown, Figure 3 The piston top temperature measuring hole 301 shown in (a) is installed at the piston top temperature measuring area 103, Figure 3 The piston head temperature measuring hole 302 shown in (b) is installed at the piston top temperature measuring position 104. Optionally, the detection component 200 can be a professional surface defect detection device, such as a surface quality detector, which can detect piston surface defects in real time.
[0042] Optionally, the first visual sensor 209 and the second visual sensor 210 may be industrial cameras, which mainly identify the alloy state and the combustion state of the piston surface.
[0043] Optionally, the temperature measurement component 300 can be a data center, such as an integrated server, which can collect piston temperature measurement data and quickly calculate the surface temperature of the piston when it is working by collecting the piston surface state through big data and neural network training.
[0044] Optionally, after the piston 102, cylinder barrel 105, cylinder head 106 and cylinder gasket 107 are installed, the whole vehicle operating condition is entered for testing. After the operating condition is completed, the engine is disassembled and inspected, and the piston is sent to a surface quality detector. The surface quality and alloy state of the piston are detected and identified by the first visual sensor 209 and the second visual sensor 210, and the information is transmitted back to the data center, and the actual surface temperature of the piston when working is obtained through big data calculation.
[0045] Therefore, the piston can be tested for surface quality and alloy state, and the surface quality test results and alloy state test results can be sent to the established neural network, and the temperature measurement model can be obtained after network training.
[0046] Further, in one embodiment, if Figure 2 As shown, the above-mentioned engine piston temperature measuring device 10 further includes: an analysis component 400, which is used to perform simulation analysis on the piston working temperature and determine the piston temperature measurement area.
[0047] The analysis component 400 may be a terminal electronic device, such as a personal computer.
[0048] It is understandable that, before the test component 100 performs the vehicle working condition test on the piston to be tested, the embodiment of the present invention may need to perform simulation analysis on the piston working temperature through the analysis component 400 to determine the piston temperature measurement zone, wherein the piston temperature measurement zone includes: the piston top temperature measurement zone and the piston head temperature measurement zone; screw hardness plugs into the measuring point holes of the piston top temperature measurement zone and the piston head temperature measurement zone to obtain the piston to be tested. After determining the piston temperature measurement zone, the embodiment of the present invention may obtain a test result data set, wherein the test result data set includes: multiple groups of data corresponding to the surface quality test results, the alloy state test results and the temperature; divide the multiple groups of data into a training set and a test set, and use the test set to train the target neural network to obtain an initial temperature measurement model; use the test set to verify the initial temperature measurement model, if the verification result meets the preset conditions, the initial temperature measurement model is used as the preset temperature measurement model, otherwise, adjust the division ratio of the training set and the test set, and retrain the target neural network until the verification result of the new initial temperature measurement model meets the preset conditions.
[0049] It should be noted that the preset temperature measurement model and its corresponding neural network can be data and network model parameters determined by relevant technical personnel through simulation or experiment, and are not specifically limited here.
[0050] The engine piston temperature measuring device proposed in the embodiment of the present invention calculates the temperature distribution in the cylinder through software simulation, determines the alloy position, detects the piston when the vehicle is disassembled and inspected in the corresponding working condition, captures the alloy state through the visual sensor, and obtains the real temperature value of the top of the piston through big data measurement. It solves the problem that it is difficult to obtain the temperature of the piston when it is working due to the harsh working environment of the piston, and improves the temperature measurement capability of the piston under high temperature and high pressure.
[0051] Next, the engine piston temperature measurement method according to an embodiment of the present invention is described with reference to the accompanying drawings.
[0052] In this embodiment, Figure 4 The engine piston temperature measurement method shown can be used Figure 1 The engine piston temperature measuring device shown in the embodiment.
[0053] Specifically, Figure 4 As shown, the engine piston temperature measurement method according to the embodiment of the present invention comprises the following steps:
[0054] In step S401, a vehicle working condition test is performed on the piston to be tested using a test assembly;
[0055] In step S402, the surface quality test and the alloy state test are performed on the piston to be tested after the vehicle working condition test to obtain the current surface quality test result and the current alloy state test result;
[0056] In step S403, the current surface quality test result and the current alloy state test result are input into a preset temperature measurement model to obtain the actual surface temperature of the piston to be tested, wherein the preset temperature measurement model is obtained by training a target neural network with the test result data set.
[0057] Furthermore, in one embodiment, before using the test assembly to perform a whole vehicle operating condition test on the piston to be tested, it also includes: performing a simulation analysis on the piston operating temperature to determine the piston temperature measurement zone, wherein the piston temperature measurement zone includes a piston top temperature measurement zone and a piston head temperature measurement zone; screwing hardness plugs into the measuring point holes of the piston top temperature measurement zone and the piston head temperature measurement zone to obtain the piston to be tested.
[0058] Furthermore, in one embodiment, before inputting the current surface quality test results and the current alloy state test results into a preset temperature measurement model, it also includes: obtaining a test result data set, wherein the test result data set includes multiple groups of data corresponding to the surface quality test results, the alloy state test results and the temperature; dividing the multiple groups of data into a training set and a test set, and using the test set to train the target neural network to obtain an initial temperature measurement model; using the test set to verify the initial temperature measurement model, if the verification result meets the preset conditions, the initial temperature measurement model is used as the preset temperature measurement model, otherwise, the division ratio of the training set and the test set is adjusted, and the target neural network is retrained until the verification result of the new initial temperature measurement model meets the preset conditions.
[0059] It should be noted that the above explanation of the embodiment of the engine piston temperature measuring device is also applicable to the engine piston temperature measuring method of this embodiment, and will not be repeated here.
[0060] According to the engine piston temperature measurement method proposed in the embodiment of the present invention, the engine piston temperature measurement device is used to calculate the temperature distribution in the cylinder through software simulation, determine the alloy position, and inspect the piston when the vehicle is disassembled and inspected in the corresponding working condition. The state of the alloy is captured by the visual sensor, and the real temperature value of the top of the piston is obtained through big data measurement. The problem of difficulty in obtaining the temperature of the piston when it is working due to the harsh working environment of the piston is solved, and the temperature measurement capability of the piston under high temperature and high pressure is improved.
[0061] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.
[0062] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "N" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0063] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.
[0064] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0065] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.
Claims
1. An engine piston temperature measuring device, characterized in that: include: A test assembly, in which a piston to be tested is installed, and is used for performing a vehicle working condition test; The detection component is used to perform surface quality detection and alloy state detection on the piston to be tested after the vehicle working condition test, and obtain the current surface quality detection result and the current alloy state detection result; The temperature measurement component is used to input the current surface quality detection result and the current alloy state detection result into a preset temperature measurement model to obtain the actual surface temperature of the piston to be tested, wherein the preset temperature measurement model is obtained by training a target neural network with a detection result data set.
2. The engine piston temperature measuring device according to claim 1, characterized in that: Also includes: The analysis component is used to simulate and analyze the piston working temperature and determine the piston temperature measurement area.
3. The engine piston temperature measuring device according to claim 2, characterized in that: The piston temperature measurement area includes a piston top temperature measurement area and a piston head temperature measurement area.
4. The engine piston temperature measuring device according to claim 3, characterized in that: The piston top temperature measuring area and the piston head temperature measuring area both have a plurality of measuring point holes that meet a preset diameter and a preset depth.
5. The engine piston temperature measuring device according to claim 4, characterized in that: Hardness plugs are screwed into the multiple measuring point holes.
6. The engine piston temperature measuring device according to claim 5, characterized in that: The material of the hardness plug is alloy.
7. The engine piston temperature measuring device according to claim 6, characterized in that: The top plane of the hardness plug is flush with the tested plane of the piston to be tested.
8. A method for measuring engine piston temperature, characterized in that: The engine piston temperature measuring device according to any one of claims 1 to 7 comprises: Using the test assembly to perform a vehicle working condition test on the piston to be tested; Performing surface quality inspection and alloy state inspection on the piston to be tested after the vehicle working condition test to obtain the current surface quality inspection result and the current alloy state inspection result; The current surface quality test result and the current alloy state test result are input into a preset temperature measurement model to obtain the actual surface temperature of the piston to be tested, wherein the preset temperature measurement model is obtained by training a target neural network with a test result data set.
9. The method according to claim 8, characterized in that Before using the test assembly to perform a vehicle working condition test on the piston to be tested, the method further includes: Perform simulation analysis on the piston working temperature to determine the piston temperature measurement area, wherein the piston temperature measurement area includes the piston top temperature measurement area and the piston head temperature measurement area; Hardness plugs are screwed into the measuring point holes of the temperature measuring area on the top of the piston and the temperature measuring area on the head of the piston to obtain the piston to be tested.
10. The method according to claim 8, characterized in that Before inputting the current surface quality test result and the current alloy state test result into a preset temperature measurement model, the method further includes: Acquire a test result data set, wherein the test result data set includes a plurality of groups of data corresponding to surface quality test results, alloy state test results and temperature; Dividing the multiple groups of data into a training set and a test set, and using the test set to train the target neural network to obtain an initial temperature measurement model; The initial temperature measurement model is verified by using the test set. If the verification result meets the preset conditions, the initial temperature measurement model is used as the preset temperature measurement model. Otherwise, the division ratio of the training set and the test set is adjusted, and the target neural network is retrained until the verification result of the new initial temperature measurement model meets the preset conditions.
