CN115266161A - Pollution detection method and device for vehicle spraying machine - Google Patents
Pollution detection method and device for vehicle spraying machine Download PDFInfo
- Publication number
- CN115266161A CN115266161A CN202210536716.8A CN202210536716A CN115266161A CN 115266161 A CN115266161 A CN 115266161A CN 202210536716 A CN202210536716 A CN 202210536716A CN 115266161 A CN115266161 A CN 115266161A
- Authority
- CN
- China
- Prior art keywords
- machine
- paint
- candidate
- determining
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N11/00—Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Application Of Or Painting With Fluid Materials (AREA)
Abstract
The invention relates to the technical field of pollution detection, and discloses a pollution detection method and device for a vehicle spraying machine. The invention discloses: determining candidate machines in the spraying machines according to the current pollution area; controlling the candidate machine to paint, and comparing the viscosity of the paint-discharging result; determining a machine to be analyzed in the candidate machines according to the viscosity comparison result corresponding to the paint outlet result; controlling each pipeline in the machine to be analyzed to discharge materials, and determining a polluted pipeline in each pipeline according to a discharge result; according to the invention, the paint outlet results of the machines to be candidate are subjected to viscosity comparison, the machines to be analyzed in the machines to be candidate are determined according to the viscosity comparison results, the pipelines in the machines to be analyzed are controlled to discharge materials, and the polluted pipelines in the pipelines are determined according to the discharge results, so that the pollution detection is effectively carried out on the spraying machines, the polluted pipelines in the machines to be analyzed are accurately detected, and the pollution detection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of pollution detection, in particular to a pollution detection method and device for a vehicle spraying machine.
Background
With the development of science and technology and the progress of society, vehicles have gradually become popular in people's work and life, and with the increasing promotion of physical life, people's demands for vehicles have not only been limited to performance, but also the appearance of vehicles is concerned by people. The vehicle changes the outward appearance through the mode of spraying paint, and at the in-process that the vehicle sprayed paint, the material of spraying paint in the vehicle spraying machine receives the pollution easily to influence the efficiency of spraying paint, the mode of detecting the vehicle spraying machine at present draws each material of spraying paint in the spraying machine, then carries out component detection to each material of spraying paint respectively, with the pollution reason of judging the spraying machine, such pollution detection mode efficiency is lower, and it is longer to consume time, consequently influences the work efficiency of vehicle spraying.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a pollution detection method and a pollution detection device for a vehicle spraying machine, and aims to solve the technical problems that the pollution detection mode in the prior art is low in efficiency and long in time consumption, so that the working efficiency of vehicle spraying is influenced.
To achieve the above object, the present invention provides a contamination detection method of a vehicle painting machine, the method comprising the steps of:
determining candidate machines in the spraying machines according to the current pollution area;
controlling the candidate machine to paint, and comparing the paint outlet results in terms of viscosity;
determining a machine to be analyzed in the machines to be candidate according to the viscosity comparison result corresponding to the paint outlet result;
and controlling each pipeline in the machine to be analyzed to discharge materials, and determining a polluted pipeline in each pipeline according to a discharge result.
Optionally, before determining the candidate machine in each spray according to the current contaminated area, the method further includes:
acquiring vehicle information of a vehicle to be detected;
determining a historical spraying area of the vehicle to be tested according to the vehicle information;
and performing defect analysis on the historical spraying area, and determining the current pollution area in the historical spraying area according to the defect analysis result.
Optionally, the controlling the candidate machine to perform paint discharging and performing viscosity comparison on a paint discharging result includes:
determining a spraying strategy of the vehicle to be tested according to the vehicle information;
determining paint outlet information of the candidate machine according to the spraying strategy;
and controlling the candidate machine to perform paint discharging according to the paint discharging information, and performing viscosity comparison on a paint discharging result.
Optionally, the controlling the candidate machine to perform paint discharging according to the paint discharging information, and performing viscosity comparison on a paint discharging result includes:
controlling the candidate machine to paint according to the paint outlet information;
determining standard viscosity conditions of the machine to be candidate according to the paint outlet information;
and comparing the viscosity of the paint discharging result of the candidate machine according to the standard viscosity condition.
Optionally, the controlling the candidate machine to perform paint discharging according to the paint discharging information, and performing viscosity comparison on a paint discharging result includes:
determining a normal area in the historical spraying area according to a defect analysis result;
determining a normal machine in each spraying machine according to the normal area;
controlling the normal machine to paint according to the paint outlet information, and determining reference viscosity information according to the paint outlet result of the normal machine;
and comparing the viscosity of the paint outlet result of the candidate machine according to the reference viscosity information.
Optionally, the controlling each pipeline in the machine to be analyzed to discharge materials, and determining a contaminated pipeline in each pipeline according to a discharge result includes:
controlling each pipeline in the machine to be analyzed to discharge materials;
comparing the viscosity of the material discharge result of each pipeline according to the standard viscosity condition;
and determining the polluted pipelines in each pipeline according to the viscosity comparison result corresponding to the material discharge result.
Optionally, after controlling each of the pipelines in the machine to be analyzed to discharge the material and determining a contaminated pipeline in each of the pipelines according to the discharge result, the method further includes:
determining machine information of the machine to be analyzed according to the vehicle information;
determining a maintenance strategy of the machine to be analyzed according to the machine information and the polluted pipeline, and performing spraying maintenance on the machine to be analyzed according to the maintenance strategy;
and determining a detection strategy of the machine to be analyzed after spraying maintenance according to the paint outlet information, and detecting the machine to be analyzed after spraying maintenance based on the detection strategy.
Further, to achieve the above object, the present invention also proposes a contamination detection device of a vehicle painting machine, comprising:
the candidate determining module is used for determining a machine to be candidate in each spraying machine according to the current pollution area;
the viscosity comparison module is used for controlling the candidate machine to perform paint discharging and performing viscosity comparison on a paint discharging result;
the analysis determining module is used for determining a machine to be analyzed in the candidate machines according to the viscosity comparison result corresponding to the paint outlet result;
and the pollution detection module is used for controlling each pipeline in the machine to be analyzed to discharge materials and determining a polluted pipeline in each pipeline according to a discharge result.
Further, the candidate determining module is further configured to obtain vehicle information of a vehicle to be detected, determine a historical spraying area of the vehicle to be detected according to the vehicle information, perform defect analysis on the historical spraying area, and determine a current pollution area in the historical spraying area according to a defect analysis result.
Further, the viscosity comparison module is further configured to determine a spraying strategy of the vehicle to be tested according to the vehicle information, determine paint outlet information of the machine to be candidate according to the spraying strategy, control the machine to be candidate to perform paint outlet according to the paint outlet information, and perform viscosity comparison on a paint outlet result.
Determining candidate machines to be tested in each spraying machine according to a current pollution area, controlling the candidate machines to be tested to paint, performing viscosity comparison on a paint outlet result, determining machines to be analyzed in the candidate machines to be tested according to a viscosity comparison result corresponding to the paint outlet result, controlling each pipeline in the machines to be analyzed to discharge materials, and determining a pollution pipeline in each pipeline according to a discharge result; according to the invention, the paint outlet results of the machines to be candidate are subjected to viscosity comparison, the machines to be analyzed in the machines to be candidate are determined according to the viscosity comparison results, the pipelines in the machines to be analyzed are controlled to discharge materials, and the polluted pipelines in the pipelines are determined according to the discharge results, so that the pollution detection is effectively carried out on the spraying machines, the polluted pipelines in the machines to be analyzed are accurately detected, and the pollution detection efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a contamination detection method for a vehicle painting machine according to the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of a contamination detection method for a vehicle painting machine according to the present invention;
FIG. 3 is a schematic flow chart of a third embodiment of a contamination detection method for a vehicle painting machine according to the present invention;
fig. 4 is a block diagram showing the structure of a contamination detecting apparatus for a vehicle painting machine according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
An embodiment of the present invention provides a method for detecting contamination of a vehicle painting machine, and referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of a method for detecting contamination of a vehicle painting machine according to the present invention.
In this embodiment, the method for detecting contamination of a vehicle painting machine includes the steps of:
step S10: and determining candidate machines in the spraying machines according to the current pollution area.
It should be understood that the main body of the method of the embodiment may be a pollution detection device of a vehicle painting machine with data processing and data analysis functions, such as a teach pendant, or other devices or devices capable of implementing the same or similar functions, and is described herein by taking the pollution detection device of the vehicle painting machine (hereinafter referred to as a pollution detection device) as an example.
It should be noted that the current contaminated area may be a contaminated area on a vehicle to be tested that is being painted by the painting machine. The painting machine may be a machine for painting a material to a vehicle to be tested, the candidate machine may be a painting machine corresponding to the contaminated area among the painting machines, and the candidate machine may be a painting machine in which contamination may exist.
It should be understood that, in order to improve the efficiency of pollution detection, the pollution detection device of the present embodiment determines, according to the current pollution area, the candidate machines to be selected corresponding to the current pollution area in each spraying machine, so as to quickly screen out the candidate machines to be selected that may have pollution in each spraying machine.
For example, the spraying areas of the vehicle a to be detected by the pollution detection device are X, Y and Z, the area X in the spraying area is detected by the corresponding detection instrument to be the current pollution area, and the candidate machine to be detected corresponding to the current pollution area X in each spraying machine is determined according to the current pollution area X.
Further, in order to accurately acquire the current contaminated area, before the step S10, the method may include:
acquiring vehicle information of a vehicle to be detected;
determining a historical spraying area of the vehicle to be tested according to the vehicle information;
and analyzing the defects of the historical spraying area, and determining the current pollution area in the historical spraying area according to the defect analysis result.
It should be noted that the vehicle under test may be a vehicle that has painting problems, which may be caused by contamination of the paint material inside the painting machine. The vehicle information can be vehicle type information, production task information or spraying task information of the vehicle to be tested.
The historical painting area can be a historically painted area on the body of the vehicle to be tested, for example, the historical painting area can be a head part, a door part or a tail part of the vehicle. The defect analysis can be spraying defect detection and analysis of a historical spraying area of the vehicle to be detected by the pollution detection equipment to determine whether the historical spraying area has an area with unqualified spraying, namely a current pollution area.
It should be understood that, in order to accurately obtain the current pollution area to narrow the range of the robot that needs to perform pollution detection, the pollution detection device in the present embodiment obtains vehicle information of the vehicle to be detected, determines a historical painting task of the vehicle to be detected according to the vehicle information, determines a historical painting area on a vehicle body of the vehicle to be detected according to the historical painting task, and performs painting defect detection and analysis on the historical painting area to determine whether the current pollution area that is unqualified in painting exists in the historical painting area, so that pollution detection efficiency is effectively improved, and the problem that all painting machines need to be detected is effectively avoided.
It should be noted that one or more than one spraying area may exist on the vehicle to be tested, and the spraying strategy of each spraying area may be different, so that the spraying manner and the spraying area of each spraying area may be different, wherein in order to improve the spraying efficiency, each spraying area has a corresponding spraying machine, that is, the spraying machines corresponding to each spraying area may be different.
Step S20: and controlling the machine to be candidate to paint, and performing viscosity comparison on a paint discharging result.
It should be noted that the paint discharging result may be a spraying material obtained after the candidate machine discharges paint, the viscosity comparison may be a viscosity comparison of the spraying material discharged from the candidate machine, and the contamination detection device may determine, through the viscosity comparison, the spraying machine in which the spraying material in the candidate machine is abnormal.
It should be understood that, in order to more accurately detect the painting machine with contamination in the candidate machine, the contamination detection apparatus of the present embodiment sets the paint discharge strategy of the candidate machine according to the demonstrator, controls the candidate machine to discharge paint according to the paint discharge strategy, and compares the viscosity of the painting material sprayed from the discharge port of the candidate machine, thereby accurately detecting the painting machine with contamination in the candidate machine.
For example, the pollution detection device sets a paint outlet strategy of the candidate machine according to the demonstrator, controls the candidate machines A, B and C to perform paint outlet according to the paint outlet strategy, performs viscosity comparison on the paint outlet results of the candidate machines A, B and C, and determines that the viscosity of the candidate machine A does not meet the condition according to the viscosity comparison result, so that the candidate machine A is judged to be a polluted spraying machine.
In a specific implementation, the pollution detection device controls the candidate spraying machine to paint by detaching a cup head of the candidate spraying machine, and measures the viscosity of a paint discharging material of the candidate spraying machine by using a viscosity cup, wherein the viscosity cup can be a Ford cup or a rock field cup.
Step S30: and determining the machine to be analyzed in the candidate machines according to the viscosity comparison result corresponding to the paint outlet result.
It should be noted that the viscosity comparison result may be a detection result of the contamination detection device on the viscosity of the material discharged from the candidate machine to determine whether a spraying machine which does not meet the viscosity requirement exists in the candidate machine. The machine to be analyzed may be a machine with pollution in the machine to be candidate, and in order to determine a specific pollution reason, the pollution detection device further needs to perform pipeline pollution detection on the machine to be analyzed so as to determine a pipeline with pollution in the machine to be analyzed.
It should be understood that, in order to effectively determine the machine to be analyzed having contamination among the machines to be tested, so as to improve the contamination detection efficiency, the contamination detection apparatus of the present embodiment determines the machine to be analyzed that does not meet the viscosity requirement among the machines to be tested according to the viscosity comparison result corresponding to the paint discharge result, thereby effectively improving the contamination detection efficiency.
For example, the pollution detection device determines that the machines to be candidate corresponding to the current polluted area are A, B, C, D, E and F, controls the machines to be candidate to perform paint discharging, performs viscosity comparison on the paint discharging result, and determines that the viscosities of the machines to be candidate A, C and E do not meet the viscosity requirement according to the viscosity comparison result corresponding to the paint discharging result, so that the machines to be candidate A, C and E are judged to be the machines to be analyzed with pollution.
Step S40: and controlling each pipeline in the machine to be analyzed to discharge materials, and determining a polluted pipeline in each pipeline according to a discharge result.
It should be noted that each pipeline may be each material pipeline in the machine to be analyzed, and there are more than one discharge pipeline in the spraying machine, where there may be one or more than one polluted pipeline in the discharge pipeline, and the polluted pipeline may be a polluted pipeline in each pipeline.
It should be understood that, in order to accurately determine the specific contaminated pipeline in the machine to be analyzed, the contamination detection apparatus of the present embodiment controls each pipeline in the machine to be analyzed to perform material discharge, and performs viscosity comparison again on the discharge result to determine the contaminated pipeline in each pipeline, thereby accurately determining the specific cause of the contamination in the machine to be analyzed.
For example, the pollution detection device controls the pipeline J, the pipeline K and the pipeline L in the machine to be analyzed to discharge materials, and compares the viscosity of the discharge result again, so that the viscosity of the discharge material in the pipeline K is determined not to meet the viscosity condition, and the pipeline K is determined to be a polluted pipeline.
Further, in order to repair the machine to be analyzed having the contamination, after the step S40, the method may include:
determining machine information of the machine to be analyzed according to the vehicle information;
determining a maintenance strategy of the machine to be analyzed according to the machine information and the polluted pipeline, and performing spraying maintenance on the machine to be analyzed according to the maintenance strategy;
and determining a detection strategy of the machine to be analyzed after spraying maintenance according to the paint outlet information, and detecting the machine to be analyzed after spraying maintenance based on the detection strategy.
It should be noted that the machine information may include machine model information, machine code information, pipe structure information, and painting material information of the machine to be analyzed. The maintenance strategy may be a strategy for maintaining a contaminated pipeline in a machine to be analyzed, where different spraying machines have different corresponding maintenance strategies and different pipelines have different corresponding maintenance strategies. The inspection strategy may be a strategy for inspecting the machine to be analyzed after maintenance.
It should be understood that, in order to repair the machine to be analyzed having the contamination and ensure that the repaired machine to be analyzed does not have the contamination, the contamination detection device of the embodiment determines the machine information of the machine to be analyzed according to the vehicle information; determining a maintenance strategy of the machine to be analyzed according to the machine information and the polluted pipeline, and performing spraying maintenance on the machine to be analyzed according to the maintenance strategy; and determining a detection strategy of the machine to be analyzed after spraying maintenance according to the paint outlet information, and detecting the machine to be analyzed after spraying maintenance based on the detection strategy, thereby ensuring the normal spraying performance of the machine to be analyzed.
In the embodiment, candidate machines to be tested in each spraying machine are determined according to a current pollution area, the candidate machines to be tested are controlled to paint, the paint outlet results are subjected to viscosity comparison, the machines to be analyzed in the candidate machines to be tested are determined according to the viscosity comparison results corresponding to the paint outlet results, each pipeline in the machines to be analyzed is controlled to discharge materials, and the pollution pipelines in each pipeline are determined according to the discharge results; according to the invention, the paint outlet results of the machines to be candidate are subjected to viscosity comparison, the machines to be analyzed in the machines to be candidate are determined according to the viscosity comparison results, the pipelines in the machines to be analyzed are controlled to discharge materials, and the polluted pipelines in the pipelines are determined according to the discharge results, so that the pollution detection is effectively carried out on the spraying machines, the polluted pipelines in the machines to be analyzed are accurately detected, and the pollution detection efficiency is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a contamination detection method for a vehicle painting machine according to a second embodiment of the present invention.
Based on the first embodiment, in this embodiment, the step S20 includes:
step S201: and determining the spraying strategy of the vehicle to be tested according to the vehicle information.
It should be noted that the spraying strategy may include a spraying manner, a spraying area, a spraying speed, a spraying machine, a spraying material, and the like corresponding to each spraying area on the vehicle to be tested, where the spraying strategy corresponding to each spraying area on the vehicle to be tested may be different.
It should be understood that, in order to accurately control paint discharge of the painting machine, the pollution detection device of the present embodiment determines the vehicle model of the vehicle to be tested and the color number corresponding to the vehicle model according to the vehicle information of the vehicle to be tested, and determines the painting strategy corresponding to the vehicle to be tested according to the vehicle information.
Step S202: and determining paint outlet information of the candidate machine according to the spraying strategy.
It should be noted that the paint discharge information may be a manner of discharging paint during spraying of the candidate machine, for example, the paint discharge information may include a paint discharge material type, a paint discharge flow rate, and the like.
Step S203: and controlling the candidate machine to perform paint discharging according to the paint discharging information, and performing viscosity comparison on a paint discharging result.
It should be noted that the paint discharging result may be obtained after the candidate machine discharges paint, and the viscosity comparison may be obtained by measuring the viscosity of the paint discharging material and comparing the viscosity of the paint discharging material according to a preset standard viscosity condition.
It should be understood that, in order to accurately simulate the spraying mode of the candidate machine in the spraying process of the whole vehicle, the pollution detection device in the embodiment controls the candidate machine to perform paint discharging according to the paint discharging rate, the paint discharging flow rate and the paint discharging duration in the paint discharging information to obtain the paint discharging material of the candidate machine, performs viscosity measurement on the paint discharging material to determine the viscosity of the paint material, determines the standard viscosity condition of the candidate machine according to the paint discharging information, and compares the viscosity of the paint discharging material according to the standard viscosity condition to determine whether the viscosity of the paint material meets the condition.
In the specific implementation, the pollution detection device determines paint outlet information such as paint outlet flow, paint outlet speed and paint outlet time of the machine to be candidate in the actual spraying process according to the paint outlet information of the machine to be candidate, controls the machine to be candidate to perform paint outlet according to the paint outlet information to obtain a paint outlet material of the machine to be candidate, measures the viscosity of the paint outlet material, and detects the viscosity of the paint outlet material according to the standard viscosity condition of the machine to be candidate to determine whether the paint outlet material meets the standard viscosity condition.
Further, in order to accurately perform viscosity comparison, the step S203 may include:
controlling the candidate machine to paint according to the paint outlet information;
determining standard viscosity conditions of the machine to be candidate according to the paint outlet information;
and comparing the viscosity of the paint discharging result of the candidate machine according to the standard viscosity condition.
The standard viscosity condition may be a preset condition that the machine to be candidate corresponds to the standard viscosity, for example, the standard viscosity condition may be that the viscosity difference from the normal material viscosity cannot exceed 1 second, and if the difference exceeds 1 second, it is determined that the condition is not met; if not, the condition is determined to be met.
It should be understood that, in order to accurately compare the viscosity of the paint outlet result, the contamination detection apparatus of the present embodiment controls the candidate machine to perform paint outlet according to the paint outlet information, determines the standard viscosity condition of the candidate machine according to the paint outlet information, and compares the viscosity of the paint outlet result of the candidate machine according to the standard viscosity condition, thereby accurately determining whether the candidate machine is contaminated.
Further, in order to improve the viscosity contrast accuracy, the step S203 may include:
determining a normal area in the historical spraying area according to a defect analysis result;
determining a normal machine in each spraying machine according to the normal area;
controlling the normal machine to paint according to the paint outlet information, and determining reference viscosity information according to the paint outlet result of the normal machine;
and comparing the viscosity of the paint outlet result of the candidate machine according to the reference viscosity information.
It should be noted that the normal area may be a normal spraying area where no abnormality exists in the historical spraying area, the normal machine may be a spraying machine corresponding to the normal area, and since the normal area is the normal spraying area, it is determined that the spraying machine corresponding to the normal area is a contaminated normal machine, so that the paint discharging material of the normal machine may be extracted as a comparison material, and the reference viscosity information is located according to the viscosity information of the comparison material, so as to perform viscosity comparison on the paint discharging result of the candidate machine according to the reference viscosity information.
The method comprises the steps of determining a spraying strategy of the vehicle to be tested according to the vehicle information, determining paint outlet information of the machine to be candidate according to the spraying strategy, controlling the machine to be candidate to perform paint outlet according to the paint outlet information, and performing viscosity comparison on a paint outlet result. According to the method and the device, the spraying strategy corresponding to the vehicle to be tested is determined according to the vehicle information of the vehicle to be tested, the paint outlet information of the candidate machine to be tested corresponding to the current polluted area is determined according to the spraying strategy, and the candidate machine to be tested is controlled to carry out paint outlet according to the paint outlet information, so that the simulation of the actual spraying process of the candidate machine to be tested is realized, the viscosity of the paint outlet result is compared, the validity of the paint outlet result is ensured, and the viscosity comparison accuracy is improved.
Referring to fig. 3, fig. 3 is a flow chart illustrating a contamination detecting method for a vehicle painting machine according to a third embodiment of the present invention.
Based on the first embodiment, in this embodiment, the step S40 includes:
step S401: and controlling each pipeline in the machine to be analyzed to discharge materials.
It should be noted that each pipeline may be each material pipeline in the machine to be analyzed, and there are more than one discharge pipeline in the spraying machine, where the discharge materials in the discharge pipelines are different, so that there may be one or more polluted pipelines in the discharge pipelines, and the above-mentioned polluted pipelines may be the polluted pipelines in the pipelines.
It should be understood that, in order to accurately determine the specific contaminated pipeline in the machine to be analyzed, the contamination detection apparatus of the present embodiment controls each pipeline in the machine to be analyzed to perform material discharge, and performs viscosity comparison again on the discharge result to determine the contaminated pipeline in each pipeline, thereby accurately determining the specific cause of the contamination in the machine to be analyzed.
Step S402: and comparing the viscosity of the material discharge result of each pipeline according to the standard viscosity condition.
It should be understood that, in order to accurately detect the pipe where the contamination actually exists in the machine to be analyzed, the contamination detection apparatus of the present embodiment performs viscosity comparison on the material discharge result of each pipe according to the standard viscosity condition to determine the pipe where the contamination exists in each pipe.
Step S403: and determining the polluted pipelines in each pipeline according to the viscosity comparison result corresponding to the material discharge result.
For example, the pollution detection device determines the discharge strategy of each pipeline according to the paint discharge information of the machine to be analyzed, controls each pipeline to discharge materials according to the discharge strategy, and respectively and independently discharges the varnish main agent and the curing agent, wherein the pollution is determined by mixing the varnish main agent into the solvent, or mixing the curing agent into the solvent, or mixing both the varnish main agent and the curing agent into the solvent.
In the embodiment, the material discharge is performed by controlling each pipeline in the machine to be analyzed, the viscosity comparison is performed on the material discharge result of each pipeline according to the standard viscosity condition, and the polluted pipeline in each pipeline is determined according to the viscosity comparison result corresponding to the material discharge result. According to the invention, the material discharge of each pipeline in the machine to be analyzed is controlled, and then the viscosity comparison is carried out on the material discharged from each pipeline, so that the polluted pipeline in each pipeline is determined, the pollution reason of the machine to be analyzed is accurately determined, and the pollution detection efficiency is improved.
Referring to fig. 4, fig. 4 is a block diagram illustrating a contamination detecting apparatus for a vehicle painting apparatus according to a first embodiment of the present invention.
As shown in fig. 4, a contamination detecting apparatus of a vehicle painting machine according to an embodiment of the present invention includes:
the candidate determining module 10 is configured to determine a candidate machine to be determined in each spraying machine according to the current pollution area;
the viscosity comparison module 20 is used for controlling the candidate machine to perform paint discharging and performing viscosity comparison on a paint discharging result;
the analysis determining module 30 is configured to determine a machine to be analyzed in the candidate machines according to the viscosity comparison result corresponding to the paint outlet result;
and the pollution detection module 40 is used for controlling each pipeline in the machine to be analyzed to discharge materials and determining a polluted pipeline in each pipeline according to a discharge result.
Further, the candidate determining module 10 is further configured to obtain vehicle information of the vehicle to be detected; determining a historical spraying area of the vehicle to be tested according to the vehicle information; and analyzing the defects of the historical spraying area, and determining the current pollution area in the historical spraying area according to the defect analysis result.
Further, the viscosity comparison module 20 is further configured to determine a spraying strategy of the vehicle to be tested according to the vehicle information; determining paint outlet information of the candidate machine according to the spraying strategy; and controlling the candidate machine to perform paint discharging according to the paint discharging information, and performing viscosity comparison on a paint discharging result.
Further, the viscosity comparison module 20 is further configured to control the candidate machine to perform paint discharging according to the paint discharging information; determining standard viscosity conditions of the machine to be candidate according to the paint outlet information; and comparing the viscosity of the paint discharging result of the candidate machine according to the standard viscosity condition.
Further, the viscosity comparison module 20 is further configured to determine a normal area in the historical spraying area according to a defect analysis result; determining a normal machine in each spraying machine according to the normal area; controlling the normal machine to paint according to the paint outlet information, and determining reference viscosity information according to the paint outlet result of the normal machine; and comparing the viscosity of the paint outlet result of the candidate machine according to the reference viscosity information.
Further, the pollution detection module 40 is further configured to control each pipeline in the machine to be analyzed to perform material discharge; comparing the viscosity of the material discharge result of each pipeline according to the standard viscosity condition; and determining the polluted pipelines in each pipeline according to the viscosity comparison result corresponding to the material discharge result.
Further, the pollution detection module 40 is further configured to determine machine information of the machine to be analyzed according to the vehicle information; determining a maintenance strategy of the machine to be analyzed according to the machine information and the polluted pipeline, and performing spraying maintenance on the machine to be analyzed according to the maintenance strategy; and determining a detection strategy of the machine to be analyzed after spraying maintenance according to the paint outlet information, and detecting the machine to be analyzed after spraying maintenance based on the detection strategy.
In the embodiment, candidate machines to be tested in each spraying machine are determined according to a current pollution area, the candidate machines to be tested are controlled to paint, the paint outlet results are subjected to viscosity comparison, the machines to be analyzed in the candidate machines to be tested are determined according to the viscosity comparison results corresponding to the paint outlet results, each pipeline in the machines to be analyzed is controlled to discharge materials, and the pollution pipelines in each pipeline are determined according to the discharge results; according to the invention, the paint outlet results of the machines to be candidate are subjected to viscosity comparison, the machines to be analyzed in the machines to be candidate are determined according to the viscosity comparison results, the pipelines in the machines to be analyzed are controlled to discharge materials, and the polluted pipelines in the pipelines are determined according to the discharge results, so that the pollution detection is effectively carried out on the spraying machines, the polluted pipelines in the machines to be analyzed are accurately detected, and the pollution detection efficiency is improved.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited in this respect.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment can be referred to the pollution detection method of the vehicle spraying machine provided by any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A contamination detection method of a vehicle painting machine, characterized by comprising:
determining candidate machines in the spraying machines according to the current pollution area;
controlling the candidate machine to be painted, and performing viscosity comparison on a paint discharging result;
determining a machine to be analyzed in the candidate machines according to the viscosity comparison result corresponding to the paint outlet result;
and controlling each pipeline in the machine to be analyzed to discharge materials, and determining a polluted pipeline in each pipeline according to a discharge result.
2. The contamination detection method for a vehicle painting machine of claim 1, wherein before determining the candidate machine in each painting based on the current contamination area, further comprising:
acquiring vehicle information of a vehicle to be detected;
determining a historical spraying area of the vehicle to be tested according to the vehicle information;
and analyzing the defects of the historical spraying area, and determining the current pollution area in the historical spraying area according to the defect analysis result.
3. The method for detecting contamination of a vehicle painting machine according to claim 2, wherein the controlling the candidate machine to paint and performing the viscosity comparison on the paint-out result comprises:
determining a spraying strategy of the vehicle to be tested according to the vehicle information;
determining paint outlet information of the candidate machine according to the spraying strategy;
and controlling the candidate machine to perform paint discharging according to the paint discharging information, and performing viscosity comparison on a paint discharging result.
4. The method for detecting contamination of a vehicle painting machine according to claim 3, wherein the controlling the candidate machine to paint according to the paint discharge information and performing viscosity comparison on a paint discharge result comprises:
controlling the candidate machine to paint according to the paint outlet information;
determining standard viscosity conditions of the machine to be candidate according to the paint outlet information;
and comparing the viscosity of the paint discharging result of the candidate machine according to the standard viscosity condition.
5. The method for detecting contamination of a vehicle painting machine of claim 3, wherein the controlling the candidate machine to paint according to the paint-out information and performing viscosity comparison on the paint-out result comprises:
determining a normal area in the historical spraying area according to a defect analysis result;
determining a normal machine in each spraying machine according to the normal area;
controlling the normal machine to paint according to the paint outlet information, and determining reference viscosity information according to the paint outlet result of the normal machine;
and comparing the viscosity of the paint outlet result of the candidate machine according to the reference viscosity information.
6. The contamination detection method of a vehicle painting machine according to any one of claims 1 to 5, wherein the controlling of each of the pipes in the machine to be analyzed for material discharge and the determining of the contaminated pipe in each of the pipes based on the discharge result comprises:
controlling each pipeline in the machine to be analyzed to discharge materials;
comparing the viscosity of the material discharge result of each pipeline according to the standard viscosity condition;
and determining the polluted pipelines in each pipeline according to the viscosity comparison result corresponding to the material discharge result.
7. The contamination detection method of a vehicle painting machine according to any one of claims 1 to 5, wherein the controlling of each of the pipes in the machine to be analyzed for material discharge further comprises, after determining the contaminated pipe in each of the pipes based on the discharge result:
determining machine information of the machine to be analyzed according to the vehicle information;
determining a maintenance strategy of the machine to be analyzed according to the machine information and the polluted pipeline, and performing spraying maintenance on the machine to be analyzed according to the maintenance strategy;
and determining a detection strategy of the machine to be analyzed after spraying maintenance according to the paint outlet information, and detecting the machine to be analyzed after spraying maintenance based on the detection strategy.
8. A contamination detection apparatus of a vehicle painting machine, characterized by comprising:
the candidate determining module is used for determining candidate machines to be determined in the spraying machines according to the current pollution area;
the viscosity comparison module is used for controlling the candidate machine to perform paint discharging and performing viscosity comparison on a paint discharging result;
the analysis determining module is used for determining a machine to be analyzed in the candidate machines according to the viscosity comparison result corresponding to the paint outlet result;
and the pollution determining module is used for controlling each pipeline in the machine to be analyzed to discharge materials and determining a polluted pipeline in each pipeline according to a discharge result.
9. The contamination detection apparatus for a vehicle painting machine according to claim 8, wherein the candidate determining module is further configured to obtain vehicle information of a vehicle to be tested, determine a historical painting area of the vehicle to be tested according to the vehicle information, perform defect analysis on the historical painting area, and determine a current contamination area in the historical painting area according to a result of the defect analysis.
10. The apparatus of claim 9, wherein the viscosity comparison module is further configured to determine a painting strategy of the vehicle to be tested according to the vehicle information, determine paint discharge information of the candidate machine according to the painting strategy, control the candidate machine to be painted according to the paint discharge information, and compare viscosity of paint discharge results.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210536716.8A CN115266161A (en) | 2022-05-17 | 2022-05-17 | Pollution detection method and device for vehicle spraying machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210536716.8A CN115266161A (en) | 2022-05-17 | 2022-05-17 | Pollution detection method and device for vehicle spraying machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115266161A true CN115266161A (en) | 2022-11-01 |
Family
ID=83760075
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210536716.8A Pending CN115266161A (en) | 2022-05-17 | 2022-05-17 | Pollution detection method and device for vehicle spraying machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115266161A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116764845A (en) * | 2023-08-14 | 2023-09-19 | 张家港市晨艺电子有限公司 | Paint spraying system capable of automatically switching paint |
-
2022
- 2022-05-17 CN CN202210536716.8A patent/CN115266161A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116764845A (en) * | 2023-08-14 | 2023-09-19 | 张家港市晨艺电子有限公司 | Paint spraying system capable of automatically switching paint |
| CN116764845B (en) * | 2023-08-14 | 2023-10-31 | 张家港市晨艺电子有限公司 | Paint spraying system capable of automatically switching paint |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20070135957A1 (en) | Model generating apparatus, model generating system, and fault detecting apparatus | |
| CN115266161A (en) | Pollution detection method and device for vehicle spraying machine | |
| US8723535B2 (en) | Process for evaluating corrosion resistance of coating | |
| CN105548185A (en) | Automobile wheel hub screw hole recognition method based on machine vision and shielding method and system | |
| US20110315550A1 (en) | Corrosion resistance evaluator | |
| US20230158540A1 (en) | Quality Control System and Quality Control Program | |
| Patel et al. | Discrete event simulation in automotive final process system | |
| CN1187603C (en) | Automatic flaw detection method for crack detection by dye penetration method | |
| US6055860A (en) | Method for measuring vehicle damage | |
| CN113811828A (en) | Method for analyzing quality defects | |
| JP2000510947A (en) | Test system for real time / offline applications | |
| CN115238830A (en) | Method for setting operation threshold of equipment, monitoring method and monitoring system | |
| CN114146878A (en) | Method for spraying, inspecting and engraving aluminum alloy chemical milling protective adhesive | |
| US11842478B2 (en) | Method and apparatus for automated adhesive wash-off quality control and root-cause analysis using artificial intelligence | |
| JPH06148090A (en) | Painting inspection information analyzer | |
| KR100212805B1 (en) | Method for measuring sandpaper contamination | |
| CN116512272B (en) | Part processing supervision method, device, equipment and storage medium | |
| CN116263394A (en) | Method and system for evaluating paint for shrinkage cavity defects | |
| Davé et al. | Strategy for small-lot manufacturing | |
| CN117169336B (en) | Copper pipe defect marking system of copper pipe rewinder | |
| WO2023033569A1 (en) | Method for testing product quality by using angle of peak | |
| CN108133261A (en) | Automotive hose mandrel quality evaluating method based on BP neural network | |
| US6420874B1 (en) | Electrostatic painting system and method | |
| Kimura et al. | Development of In-process Quality Assurance Technology for Windshield Glass Primer Applications | |
| JPH0927531A (en) | Statistical analysis method of yield and device therefor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |