CN111843198B - Method and device for diagnosing gas circuit of machine tool, electronic equipment and storage medium - Google Patents
Method and device for diagnosing gas circuit of machine tool, electronic equipment and storage medium Download PDFInfo
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- CN111843198B CN111843198B CN202010730281.1A CN202010730281A CN111843198B CN 111843198 B CN111843198 B CN 111843198B CN 202010730281 A CN202010730281 A CN 202010730281A CN 111843198 B CN111843198 B CN 111843198B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/14—Working by laser beam, e.g. welding, cutting or boring using a fluid stream, e.g. a jet of gas, in conjunction with the laser beam; Nozzles therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/36—Removing material
- B23K26/38—Removing material by boring or cutting
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/70—Auxiliary operations or equipment
- B23K26/702—Auxiliary equipment
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D16/00—Control of fluid pressure
- G05D16/20—Control of fluid pressure characterised by the use of electric means
Abstract
The invention provides a method and a device for diagnosing a machine tool gas path, electronic equipment and a storage medium, wherein the gas path is any gas path to be diagnosed for conveying auxiliary gas, and the method comprises the following steps: controlling the gas circuit to be diagnosed to implement a boosting maintenance process for N times, wherein the boosting maintenance process refers to: when the auxiliary gas is conveyed to the cutting head by the gas path to be diagnosed, the air pressure detection information of the gas path to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; acquiring an information group corresponding to each boosting maintenance process to obtain N information groups; each information group comprises K-type air pressure change characteristic information; and determining gas path diagnosis information according to the N information groups, wherein the gas path diagnosis information represents the quality of the gas path to be diagnosed in the boosting maintenance process.
Description
Technical Field
The invention relates to the field of laser processing, in particular to a method and a device for diagnosing a machine tool gas circuit in laser processing, electronic equipment and a storage medium.
Background
In laser processing, auxiliary gas is usually adopted to achieve the best cutting effect, the gas path connection modes of machine tools have the characteristics, the diameters of used gas pipes are different, different machining effects can be caused when different machine tools use the same machining process,
the quality of the auxiliary gas (which can be described, for example, by the stability, accuracy, etc. of the gas pressure) directly affects the processing results. However, in the prior art, there is no way to determine whether the quality of the auxiliary gas path is good or bad, and therefore, when the problem is solved, it is often impossible to determine whether the reason for the poor processing effect is the poor quality of the gas path, which is not favorable for ensuring the processing quality.
Disclosure of Invention
The invention provides a method and a device for diagnosing a machine tool gas circuit, electronic equipment and a storage medium, which are used for solving the problem that whether the cause of poor machining effect is poor gas circuit quality cannot be judged when problems are checked in the prior art.
According to a first aspect of the present invention, there is provided a method for cutting off a gas path of a machine tool, wherein the gas path is any one to-be-diagnosed gas path for conveying auxiliary gas, the method includes:
controlling the gas circuit to be diagnosed to implement a boosting maintenance process for N times, wherein the boosting maintenance process refers to: when the gas circuit to be diagnosed conveys the auxiliary gas to the cutting head, the air pressure detection information of the gas circuit to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; wherein N is an integer greater than or equal to 1;
acquiring an information group corresponding to each boosting maintenance process to obtain N information groups; each information group comprises K-type air pressure change characteristic information; wherein K is an integer greater than or equal to 1; each type of air pressure change characteristic information quantificationally describes one characteristic of air pressure change in the air circuit to be diagnosed when the boosting maintenance process is implemented;
and determining gas path diagnostic information according to the N information groups, wherein the gas path diagnostic information represents the quality of the to-be-diagnosed gas path in the boosting maintenance process.
Optionally, determining gas circuit diagnosis information according to the N information groups includes:
calculating statistical values of all similar air pressure change characteristic information in the N information groups aiming at each type of air pressure change characteristic information to obtain K current statistical values corresponding to the K types of air pressure change characteristic information;
scoring each type of air pressure change characteristic information according to scoring standard information preset by each type of air pressure change characteristic information and the K current statistical values to obtain K target scoring values; the scoring standard information records corresponding relations between different statistical values and different score values of the corresponding air pressure change characteristic information of one type;
and determining the gas path diagnosis information according to the K target score values.
Optionally, the K-type barometric pressure change characteristic information includes at least one of the following types: the air pressure rise time, the air pressure stabilization time, the air pressure deviation information and the air pressure fluctuation information;
the air pressure rise time represents the time length from zero rise of the air pressure detection information to a reference air pressure value, and the reference air pressure value is associated with the target air pressure value;
the air pressure stabilization time represents the time length from the rise of the air pressure detection information from zero to the fluctuation of the air pressure detection information in the target range;
the air pressure deviation information represents the deviation of the air pressure detection information relative to the target air pressure value when the air pressure detection information fluctuates in the target range;
the air pressure fluctuation information represents a fluctuation range of the air pressure detection information when fluctuating within the target range.
Optionally, if the K-class air pressure change characteristic information includes the air pressure rise time, then: in the scoring standard information, the shorter the time length represented by the statistical value of the air pressure rise time is, the higher the corresponding score value is;
if the K-type air pressure change characteristic information comprises the air pressure stabilization time, then: in the scoring standard information, the shorter the time length represented by the statistical value of the air pressure stabilization time is, the higher the corresponding score value is;
if the K-type air pressure change characteristic information comprises the air pressure deviation information, then: in the scoring standard information, the smaller the deviation represented by the statistical value of the air pressure deviation information is, the higher the corresponding score value is;
if the K-type air pressure change characteristic information comprises the air pressure fluctuation information, then: in the scoring standard information, the smaller the fluctuation represented by the statistical value of the air pressure fluctuation information is, the higher the corresponding score value is.
Optionally, scoring each type of air pressure change characteristic information according to preset scoring standard information and the K statistical values to obtain K target scoring values, including:
for any one current statistical value, if the current statistical value is not recorded in the corresponding scoring standard information, then:
determining a first statistical value and a second statistical value which are adjacent to each other in the statistical values recorded in the scoring standard information, wherein the current statistical value is between the first statistical value and the second statistical value;
and determining a target score value corresponding to the current statistic value through interpolation according to the first score value corresponding to the first statistic value, the second score value corresponding to the second statistic value and the current statistic value.
Optionally, determining the gas path diagnosis information according to the K target score values includes:
and determining the lowest or highest target score value in the K target score values as the gas path diagnosis information.
Optionally, the N information sets are determined according to an air pressure curve formed by the air pressure detection information.
According to a second aspect of the present invention, there is provided a machine tool gas path diagnostic apparatus, comprising:
the boosting maintenance control module is used for controlling the gas circuit to be diagnosed to implement a boosting maintenance process for N times, wherein the boosting maintenance process refers to: when the gas circuit to be diagnosed conveys the auxiliary gas to the cutting head, the air pressure detection information of the gas circuit to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; wherein N is an integer greater than or equal to 1;
the device comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring one information group corresponding to each boosting maintenance process to obtain N information groups; each information group comprises K types of air pressure change characteristic information; wherein K is an integer greater than or equal to 1; each type of air pressure change characteristic information quantificationally describes one characteristic of air pressure change in the air circuit to be diagnosed when the boosting maintenance process is implemented;
and the diagnosis module is used for determining gas path diagnosis information according to the N information groups, wherein the gas path diagnosis information represents the quality of the gas path to be diagnosed in the boosting maintenance process.
According to a third aspect of the invention, there is provided an electronic device comprising a processor and a memory;
the memory is used for storing codes and related data;
the processor is configured to execute the code in the memory to implement the method according to the first aspect and its alternatives.
According to a fourth aspect of the present invention, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, carries out the method of the first aspect and its alternatives.
According to the diagnosis method, the diagnosis device, the electronic equipment and the storage medium of the machine tool gas path, the gas path diagnosis information is determined according to the gas pressure change characteristic information of the gas path, the quality of the boosting maintenance process of the gas path is judged based on the gas path diagnosis information, the quality of the transmission quality of the auxiliary gas path is further judged, and further, when the machine tool machining effect is not good, a basis can be provided for the inspection of the reason of the machine tool machining effect not good through the gas path diagnosis information. Thereby being beneficial to ensuring the stability, quality and efficiency of the machine tool.
Meanwhile, the gas circuit diagnosis information is determined according to the air pressure change characteristic information when the gas circuit to be diagnosed is controlled to implement the boosting maintenance process for N times, and each type of air pressure change characteristic information quantifies one characteristic of the air pressure change, so that the gas circuit diagnosis information can accurately reflect the actual characteristic of the air pressure change and has better accuracy. In a further alternative, each information group includes different types of air pressure change characteristic information (such as air pressure rise time, air pressure stabilization time, air pressure deviation information and air pressure fluctuation information), so that the method is favorable for considering multiple types of air pressure change characteristic information (namely considering multiple characteristics of air pressure change), and further improves the diagnosis accuracy.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a machine tool with gas circuit in one application scenario of the present invention;
FIG. 2 is a first flowchart illustrating a method for diagnosing a gas circuit of a machine tool according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating step S3 according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating step S32 according to an embodiment of the present invention;
FIG. 5 is a second flowchart illustrating a method for diagnosing a gas circuit of a machine tool according to an embodiment of the present invention;
FIG. 6 is a third schematic flow chart of a method for diagnosing a gas circuit of a machine tool according to an embodiment of the present invention;
FIG. 7 is a fourth schematic flowchart of a method for diagnosing a gas circuit of a machine tool according to an embodiment of the present invention;
FIG. 8 is a schematic view of a gas rise curve according to an embodiment of the present invention;
FIG. 9 is a schematic structural diagram of a diagnostic device for gas circuits of a machine tool according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Description of reference numerals:
11-auxiliary gas source;
12-air source switch;
13-a booster device;
14-an air intake duct;
15-air pressure detecting element;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
In the application function scenario shown in fig. 1, a gas to be diagnosed enters the laser cutting head from the auxiliary gas source 11 through the pressure boosting device 13 through the gas inlet pipe 14 to form one or more gas paths, and each gas path can be used as a gas path to be diagnosed.
Optionally, the system is further provided with one or more air source switches 12, and the air source switches 12 are used for controlling the circulation of the air path to be diagnosed.
The air pressure detecting element 15 is installed in the laser cutting head for acquiring an information group of air pressure change characteristic information. The gas path may be specifically provided, for example, at an outlet, an inlet, an intermediate portion, and the like of the gas path. No matter where they are located, they do not depart from the scope of the embodiments of the present invention.
The auxiliary gas can reach the laser cutting head via the above-described system, and the auxiliary gas can be supplied to the processing material when the laser cutting head performs cutting, thereby performing functions such as cooling, cleaning, and the like, regardless of the function, and whatever gas is used as the auxiliary gas, as long as the gas can be guided to the laser cutting head, without departing from the scope of the embodiment of the present invention.
The diagnosis method of the machine tool gas circuit related by the embodiment of the invention can be applied to the control equipment of the machine tool, and can also be applied to the control equipment externally connected with the machine tool.
Referring to fig. 2, the method for diagnosing the gas circuit of the machine tool includes:
s1: controlling the gas circuit to be diagnosed to implement a boosting maintenance process for N times;
s2: acquiring an information group corresponding to each boosting maintenance process to obtain N information groups; each information group comprises K-type air pressure change characteristic information;
in some alternatives, K may be an integer greater than or equal to 2, and each information group may include different types of air pressure change characteristic information;
s3: determining gas path diagnosis information according to the N information groups;
in step S1, the boosting maintenance process refers to: when the gas circuit to be diagnosed conveys the auxiliary gas to the cutting head, the air pressure detection information of the gas circuit to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; n is an integer greater than or equal to 1, in some alternatives, N may be an integer greater than or equal to 2, and thus, the plurality of information groups are beneficial to reducing the influence of data errors on data reliability.
Further, step S1 may be understood as repeating the step S1 for N times, where the step S1 to S3 are performed for each target air pressure value, and the target air pressure value of the step S1 for the step S may be one or more, and if there are multiple target air pressure values; the gas to be diagnosed may be a single gas or a plurality of gases, and if there are a plurality of gases, the above steps S1 to S3 may be performed for each target pressure value of each gas.
For example: the target pressure values of oxygen are 0.5bar, 0.6bar, 0.7bar, 0.8bar, 0.9bar and 1.0bar, or: 30% of maximum air pressure, 50% of maximum air pressure, 70% of maximum air pressure and 90% of maximum air pressure; the target pressure values for nitrogen and air were 30% of the maximum pressure, 50% of the maximum pressure, 70% of the maximum pressure, and 90% of the maximum pressure.
The gas path diagnostic information characterizes a quality of the gas path to implement the boost maintenance process. The mass therein may be, for example, the speed of the air pressure rise, the stability with respect to the target air pressure value, the accuracy, etc.
In the embodiment of the invention, each type of air pressure change characteristic information quantitatively describes one characteristic of air pressure change in the to-be-diagnosed air circuit when the boosting maintenance process is implemented; it may be any quantitative information that is identified and extracted based on the change in air pressure.
The air pressure change characteristic information can be used for describing characteristics of a middle staged part of the boosting maintenance process (for example, a stage that air pressure detection information rises from zero to enter a target range, a stage that air pressure detection information rises from zero to a certain degree, a stage that the air pressure detection information fluctuates in the target range, a stage that the air pressure detection information fluctuates in a first period, and the like), and can also be used for describing characteristics of the whole boosting maintenance process (for example, the duration of the whole boosting maintenance process), and since the air pressure change generally represents the change of the air pressure along with the time, the characteristics can be specific to a time dimension and can also be specific to an air pressure value dimension.
According to the embodiment of the invention, the gas path diagnosis information can be determined according to the gas pressure change characteristic information of the gas path, the quality of the boosting maintenance process carried out by the gas path is judged based on the gas path diagnosis information, and the quality of the transmission quality of the auxiliary gas path is further judged. Thereby being beneficial to ensuring the stability, quality and efficiency of the machine tool.
Meanwhile, the gas circuit diagnosis information is determined according to the air pressure change characteristic information when the gas circuit to be diagnosed is controlled to implement the boosting maintenance process for N times, and each type of air pressure change characteristic information quantifies one characteristic of the air pressure change, so that the gas circuit diagnosis information can accurately reflect the actual characteristic of the air pressure change and has better accuracy.
In a further alternative, each information group includes different types of air pressure change characteristic information (for example, at least two types of air pressure rising time, air pressure stabilizing time, air pressure deviation information and air pressure fluctuation information), so that multiple types of air pressure change characteristic information (namely, multiple aspects of characteristics of air pressure change) can be considered favorably, and the diagnosis accuracy is further improved.
In one embodiment, referring to fig. 3, step S3 may include:
s31: calculating statistical values of all similar air pressure change characteristic information in the N information groups aiming at each type of air pressure change characteristic information to obtain K current statistical values corresponding to the K types of air pressure change characteristic information;
in one example, the statistical value may be, for example, an average (e.g., an arithmetic average, a weighted average, etc.) of the same type of air pressure variation characteristic information in the N information sets; in other examples, the sum, median, maximum, minimum, and the like of the same type of air pressure variation characteristic information may also be used.
S32: scoring each type of air pressure change characteristic information according to scoring standard information preset by each type of air pressure change characteristic information and the K current statistical values to obtain K target scoring values;
the scoring standard information records corresponding relations between different statistical values and different score values of corresponding air pressure change characteristic information of one type;
s33: and determining the gas path diagnosis information according to the K target score values.
In one embodiment, referring to fig. 4, step S32 includes:
s321: for any one current statistical value, whether the current statistical value is recorded in the corresponding scoring standard information or not;
if the determination result in S321 is no, step S322 may be implemented: determining a first statistical value and a second statistical value which are adjacent to each other in the statistical values recorded in the scoring standard information, wherein the current statistical value is between the first statistical value and the second statistical value; after step S322 is completed, step S323 may be performed: and determining a target score value corresponding to the current statistic value through interpolation according to the first score value corresponding to the first statistic value, the second score value corresponding to the second statistic value and the current statistic value.
If the judgment result of the step S321 is yes, the corresponding target score value can be directly obtained from the scoring standard information;
in one example, the scoring criteria information is in percent, and in other examples, the scoring criteria information may also be in ten percent, and table 1 below is an example of the percent scoring criteria information:
TABLE 1
The following table 2 is a part of example of target scoring system for determining the current statistical value according to the scoring standard interpolation shown in table 1 when the gas path to be diagnosed is oxygen.
TABLE 2
In an actual implementation process, please refer to fig. 5 to 7, since there may be a plurality of gases in the gas path to be diagnosed, there may be a plurality of target pressure values for each gas. Steps S1 through S3 may be looped. Furthermore, an implementation process of the machine tool gas path diagnosis method is described below.
When the gas circuit to be diagnosed needs to be diagnosed, the step S1 is firstly implemented: specifically, at this time, a list of air pressure values to be diagnosed may be obtained, and then the air is opened and the air pressure value is set (i.e., the air path to be diagnosed is controlled to be opened and the target air pressure value of the air path to be diagnosed is set).
After the to-be-diagnosed air circuit completes the boosting maintaining process for N times, the step S2 is implemented: specifically, the air pressure curve may be obtained first, and then the air pressure curve may be analyzed to obtain air pressure rise time, air pressure stabilization time, air pressure deviation information, and air pressure fluctuation information data information.
After obtaining the N information sets, step S3 is performed, i.e., the current air pressure value is scored. After the gas path diagnosis of one target gas pressure value of the gas path to be diagnosed is completed, whether the determination of the gas path diagnosis information of all the target gas pressure values is completed (that is, whether other target gas pressure values to be diagnosed exist is judged), if not, the judgment result in the step S4 is no, and then the steps S1, S2 and S3 can be performed again; if yes, it may be understood that the determination result of step S4 is yes, at this time, it may be determined whether the determination of the gas path diagnostic information of all the gas paths to be diagnosed is completed (i.e., it is determined whether there is gas to be corrected), and if not, it may be understood that the determination result of step S5 is no, at this time, the process may proceed to steps S1, S2, S3, and S4 again;
in one embodiment, referring to fig. 8, in one embodiment, the N information sets are determined according to a pressure curve formed by the pressure detection information, specifically, the pressure variation characteristic information may be obtained by analyzing a pressure curve of a pressure increase maintaining process, and the pressure variation characteristic information may include, for example: air pressure rising time, air pressure stabilizing time, air pressure deviation value, air pressure fluctuation value and the like. Hereinafter, the following expansion and examples will be given one by one.
The air pressure rise time represents the time length from zero rise of the air pressure detection information to a reference air pressure value, and the reference air pressure value is associated with the target air pressure value;
in an example, referring to fig. 8, the ratio of the reference air pressure value to the target air pressure value is a fixed value less than 1, such as: the air pressure rise time is 80% of the target air pressure value, and in other examples, the air pressure rise time may be 90% of the target air pressure value.
The air pressure stabilization time represents the time length from the rise of the air pressure detection information from zero to the fluctuation of the air pressure detection information in the target range;
in one example, please refer to fig. 8, the time required for the air pressure to reach a certain value and complete a half of the fluctuation cycle may be shown, and in other examples, the time required for completing one or more fluctuation cycles may also be shown.
The air pressure deviation information represents the deviation of the air pressure detection information relative to the target air pressure value when the air pressure detection information fluctuates in the target range;
in an example, referring to fig. 8, the air pressure deviation information may be: (Px-P0)/P0;
where Px is the actual air pressure value and P0 is the target air pressure value, the air pressure deviation information may be characterized by a percentage.
The air pressure fluctuation information represents a fluctuation range of the air pressure detection information when fluctuating within the target range.
In an example, referring to fig. 8, the air pressure fluctuation information may be: (Pmax-Pmin). times.0.8/P0; in other examples, 0.8 in the formula may be 0.9 or other values.
Wherein Pmax is an air pressure value corresponding to a certain peak when the air pressure is in periodic fluctuation, Pmin is an air pressure value corresponding to a certain trough when the air pressure is in periodic fluctuation, P0 is a target air pressure value, and the air pressure fluctuation information can be characterized by percentage.
In one embodiment, as shown in table 1 or table 2, if the K-type air pressure change characteristic information includes the air pressure rise time, the step of: in the scoring standard information, the shorter the time length represented by the statistical value of the air pressure rise time is, the higher the corresponding target score value is. The higher the target score value of the air pressure rise time is, the better the efficiency of the air pressure rise is.
If the K-type air pressure change characteristic information comprises the air pressure stabilization time, then: in the scoring standard information, the shorter the time length represented by the statistical value of the air pressure stabilization time is, the higher the corresponding target score value is. The higher the target score value of the air pressure stabilization time is, the better the efficiency of indicating that the air pressure rises and reaches the stabilization is.
If the K-type air pressure change characteristic information comprises the air pressure deviation information, then: in the scoring standard information, the smaller the deviation represented by the statistical value of the air pressure deviation information is, the higher the corresponding target score value is; the higher the target score value of the air pressure deviation information is, the better the boosting accuracy with respect to the target air pressure value is.
If the K-type air pressure change characteristic information comprises the air pressure fluctuation information, then: in the scoring standard information, the smaller the fluctuation represented by the statistical value of the air pressure fluctuation information is, the higher the corresponding target score value is. The higher the target score value of the air pressure fluctuation information is, the better the stability after the air pressure is boosted is.
In one embodiment, as shown in table 2, determining the gas circuit diagnostic information according to the K target score values includes: and determining the lowest target score value in the K target score values as the gas path diagnosis information. In one example, the lowest target score value of the K target score values is used as the gas path diagnostic information, and the higher the gas path diagnostic information is, the better the quality of the gas path (for example, the efficiency of gas pressure increase, stability relative to the target gas pressure value, and the accuracy of pressure increase) is as a whole.
In another example, if the relationship between the score value and the quality (for example, the efficiency of the air pressure increase, the stability relative to the target air pressure value, and the accuracy of the pressure increase) changes (for example, the lower the target score value, the higher the corresponding efficiency, stability, and accuracy of the pressure increase), the highest target score value among the K target score values may be used as the air path diagnostic information.
The higher or lower the score value is, the more probable the problem is, so that the scheme can be beneficial to quickly and accurately finding out the gas path which is possibly subjected to the quality problem.
Referring to fig. 9, a gas path diagnostic apparatus 2 for a machine tool includes:
the boosting maintenance control module 21 is configured to control the gas circuit to be diagnosed to implement a boosting maintenance process for N times, where the boosting maintenance process refers to: when the gas circuit to be diagnosed conveys the auxiliary gas to the cutting head, the air pressure detection information of the gas circuit to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; wherein N is an integer greater than or equal to 1;
an obtaining module 22, configured to obtain one information group corresponding to each boosting maintenance process, so as to obtain N information groups; each information group comprises K-type air pressure change characteristic information; wherein K is an integer greater than or equal to 1; each type of air pressure change characteristic information quantificationally describes one characteristic of air pressure change in the air circuit to be diagnosed when the boosting maintenance process is implemented;
and the diagnosis module 23 is configured to determine gas path diagnosis information according to the N information sets, where the gas path diagnosis information represents quality of the gas path to be diagnosed in the pressure boosting maintenance process.
Optionally, the diagnosis module 23 is specifically configured to:
and calculating the statistical values of all the similar air pressure change characteristic information in the N information groups aiming at each type of air pressure change characteristic information to obtain K current statistical values corresponding to the K types of air pressure change characteristic information.
Optionally, the diagnosis module 23 is specifically configured to:
scoring each type of air pressure change characteristic information according to scoring standard information preset by each type of air pressure change characteristic information and the K current statistical values to obtain K target scoring values; the scoring standard information records corresponding relations between different statistical values and different score values of the corresponding air pressure change characteristic information of one type;
optionally, the diagnosis module 23 is specifically configured to:
and determining the gas path diagnosis information according to the K target score values.
In summary, the present invention can determine the gas path diagnostic information according to the characteristic information of the gas pressure change of the gas path, and determine the quality of the gas path in the process of maintaining the boosted pressure based on the gas path diagnostic information, so as to determine the quality of the transmission quality of the whole auxiliary gas path. Thereby being beneficial to ensuring the stability, quality and efficiency of the machine tool.
Fig. 10 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Referring to fig. 10, an electronic device 3 is provided, which includes:
a processor 31; and (c) a second step of,
a memory 33 for storing executable instructions of the processor;
wherein the processor 31 is configured to perform the above-mentioned method via execution of the executable instructions.
The processor 31 is capable of communicating with the memory 33 via the bus 32.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the above-mentioned method.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A method for diagnosing a machine tool gas path, wherein the gas path is any one gas path to be diagnosed for conveying auxiliary gas, and the method comprises the following steps:
controlling the gas circuit to be diagnosed to implement a boosting maintenance process for N times, wherein the boosting maintenance process refers to: when the gas circuit to be diagnosed conveys the auxiliary gas to the cutting head, the air pressure detection information of the gas circuit to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; wherein N is an integer greater than or equal to 1;
acquiring an information group corresponding to each boosting maintenance process to obtain N information groups; each information group comprises K-type air pressure change characteristic information; wherein K is an integer greater than 1; each type of air pressure change characteristic information quantificationally describes one characteristic of air pressure change in the air circuit to be diagnosed when the boosting maintenance process is implemented;
determining gas path diagnosis information according to the N information groups; the method specifically comprises the following steps:
calculating statistical values of all similar atmospheric pressure change characteristic information in the N information groups aiming at each type of atmospheric pressure change characteristic information to obtain K current statistical values corresponding to the K types of atmospheric pressure change characteristic information;
scoring each type of air pressure change characteristic information according to scoring standard information preset by each type of air pressure change characteristic information and the K current statistical values to obtain K target scoring values; the scoring standard information records corresponding relations between different statistical values and different score values of the corresponding air pressure change characteristic information of one type;
determining the gas path diagnosis information according to the K target score values;
wherein the gas circuit diagnostic information characterizes the quality of the gas circuit to be diagnosed in implementing the pressure boost maintenance process.
2. The method for diagnosing the gas circuit of the machine tool according to claim 1, wherein the K-type gas pressure change characteristic information includes at least one of: the air pressure rise time, the air pressure stabilization time, the air pressure deviation information and the air pressure fluctuation information;
the air pressure rise time represents the time length from zero rise of the air pressure detection information to a reference air pressure value, and the reference air pressure value is associated with the target air pressure value;
the air pressure stabilization time represents the time length from the rise of the air pressure detection information from zero to the fluctuation of the air pressure detection information in the target range;
the air pressure deviation information represents the deviation of the air pressure detection information relative to the target air pressure value when the air pressure detection information fluctuates in the target range;
the air pressure fluctuation information represents a fluctuation range of the air pressure detection information when fluctuating within the target range.
3. The method for diagnosing the gas circuit of the machine tool according to claim 2, wherein if the K-type gas pressure change characteristic information includes the gas pressure rise time, then: in the scoring standard information, the shorter the time length represented by the statistical value of the air pressure rise time is, the higher the corresponding score value is;
if the K-type air pressure change characteristic information comprises the air pressure stabilization time, then: in the scoring standard information, the shorter the time length represented by the statistical value of the air pressure stabilization time is, the higher the corresponding score value is;
if the K-type air pressure change characteristic information comprises the air pressure deviation information, then: in the scoring standard information, the smaller the deviation represented by the statistical value of the air pressure deviation information is, the higher the corresponding score value is;
if the K-type air pressure change characteristic information comprises the air pressure fluctuation information, then: in the scoring standard information, the smaller the fluctuation represented by the statistical value of the air pressure fluctuation information is, the higher the corresponding score value is.
4. The method for diagnosing the gas circuit of the machine tool according to claim 1, wherein the step of scoring each type of gas pressure change characteristic information according to preset scoring standard information and the K current statistical values to obtain K target scoring values comprises the steps of:
for any one current statistical value, if the current statistical value is not recorded in the corresponding scoring standard information, then:
determining a first statistical value and a second statistical value which are adjacent to each other in the statistical values recorded in the scoring standard information, wherein the current statistical value is between the first statistical value and the second statistical value;
and determining a target score value corresponding to the current statistic value through interpolation according to the first score value corresponding to the first statistic value, the second score value corresponding to the second statistic value and the current statistic value.
5. The method for diagnosing the gas circuit of the machine tool according to any one of claims 1 to 4, wherein determining the gas circuit diagnostic information according to the K target score values comprises:
and determining the lowest or highest target score value in the K target score values as the gas path diagnosis information.
6. The method for diagnosing the gas circuit of the machine tool according to any one of claims 1 to 4, wherein the N information sets are determined according to a gas pressure curve formed by the gas pressure detection information.
7. A machine tool gas path diagnostic device, comprising:
the boost maintaining control module is used for controlling the gas circuit to be diagnosed to implement the boost maintaining process for N times, wherein the boost maintaining process refers to: when the gas circuit to be diagnosed conveys the auxiliary gas to the cutting head, the air pressure detection information of the gas circuit to be diagnosed rises from zero to enter a target range, and fluctuates for a plurality of periods in the target range; the target range is matched with a target air pressure value corresponding to the boosting maintenance process for N times; wherein N is an integer greater than or equal to 1;
the device comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring one information group corresponding to each boosting maintenance process to obtain N information groups; each information group comprises K-type air pressure change characteristic information; wherein K is an integer greater than 1; each type of air pressure change characteristic information quantificationally describes one characteristic of air pressure change in the air circuit to be diagnosed when the boosting maintenance process is implemented;
the diagnosis module is used for determining gas circuit diagnosis information according to the N information groups; the method specifically comprises the following steps:
calculating statistical values of all similar air pressure change characteristic information in the N information groups aiming at each type of air pressure change characteristic information to obtain K current statistical values corresponding to the K types of air pressure change characteristic information;
scoring each type of air pressure change characteristic information according to scoring standard information preset by each type of air pressure change characteristic information and the K current statistical values to obtain K target scoring values; the scoring standard information records corresponding relations between different statistical values and different score values of the corresponding air pressure change characteristic information of one type;
determining the gas path diagnosis information according to the K target score values;
wherein the gas circuit diagnostic information characterizes the quality of the gas circuit to be diagnosed in implementing the pressure boost maintenance process.
8. An electronic device, comprising a processor and a memory,
the memory is used for storing codes and related data;
the processor to execute code in the memory to implement the method of any one of claims 1 to 6.
9. A storage medium having stored thereon a computer program which, when executed by a processor, carries out the method of any one of claims 1 to 6.
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| JP2007041830A (en) * | 2005-08-03 | 2007-02-15 | Matsushita Electric Ind Co Ltd | Energy diagnostic device |
| CN205414677U (en) * | 2016-03-14 | 2016-08-03 | 宁夏吴忠市好运电焊机有限公司 | Many pneumatic control contravariant plasma arc cutting machine |
| CN106447210B (en) * | 2016-10-10 | 2018-03-30 | 国网湖北省电力公司电力科学研究院 | A kind of distribution net equipment health degree dynamic diagnosis method of meter and trust evaluation |
| CN108907894A (en) * | 2018-08-21 | 2018-11-30 | 四川台合机电设备有限责任公司 | A kind of air pressure detection method in inside lathe |
| CN110039208B (en) * | 2019-05-29 | 2021-06-29 | 武汉奥森迪科智能科技股份有限公司 | Air pressure detection device and detection method for laser cutting head |
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