CN115420418B - Air pressure measuring method and device, electronic equipment and readable storage medium - Google Patents
Air pressure measuring method and device, electronic equipment and readable storage medium Download PDFInfo
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- CN115420418B CN115420418B CN202211373240.7A CN202211373240A CN115420418B CN 115420418 B CN115420418 B CN 115420418B CN 202211373240 A CN202211373240 A CN 202211373240A CN 115420418 B CN115420418 B CN 115420418B
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- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L11/00—Measuring steady or quasi-steady pressure of a fluid or a fluent solid material by means not provided for in group G01L7/00 or G01L9/00
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J29/00—Details of, or accessories for, typewriters or selective printing mechanisms not otherwise provided for
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- G—PHYSICS
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- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L27/00—Testing or calibrating of apparatus for measuring fluid pressure
- G01L27/007—Malfunction diagnosis, i.e. diagnosing a sensor defect
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Abstract
The application discloses an air pressure measuring method, an air pressure measuring device, electronic equipment and a readable storage medium, which are applied to the technical field of measurement, wherein the air pressure measuring method comprises the following steps: acquiring air pressure data acquired by at least one air pressure sensor, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment; generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data; generating a support degree between the air pressure sensors according to the observation distance between the filtered air pressure data; and carrying out weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink-jet printing equipment. The technical problem that the measurement accuracy and the measurement efficiency of air pressure measurement cannot be considered is solved.
Description
Technical Field
The present disclosure relates to the field of measurement technologies, and in particular, to a method and an apparatus for measuring an air pressure, an electronic device, and a readable storage medium.
Background
With the rapid development of science and technology, fault detection technology is also developed more and more mature, currently, the air pressure measurement of the ink-jet printing equipment is generally carried out by adopting a single air pressure sensor, when the air pressure sensor breaks down, frequent air pressure sensor repair can damage the ink-jet printing equipment, a large amount of time can be consumed, if the fault of the air pressure sensor is not processed, the condition that the collected air pressure data is wrong data easily occurs, and therefore the measurement accuracy and the measurement efficiency of the air pressure measurement cannot be considered.
Disclosure of Invention
The present application mainly aims to provide an air pressure measurement method, an air pressure measurement device, an electronic device, and a readable storage medium, and aims to solve the technical problem that measurement accuracy and measurement efficiency of air pressure measurement cannot be considered in the prior art.
In order to achieve the above object, the present application provides an air pressure measuring method applied to an inkjet printing apparatus, the air pressure measuring method including:
acquiring air pressure data acquired by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment;
generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data;
generating a support degree between the air pressure sensors according to the observation distance between the filtered air pressure data;
and carrying out weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink-jet printing equipment.
In order to achieve the above object, the present application also provides an air pressure measuring device, which is applied to an inkjet printing apparatus, the air pressure measuring device including:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring air pressure data acquired by at least two air pressure sensors, and each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment;
the filtering module is used for generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data;
the generating module is used for generating the support degree between the air pressure sensors according to the observation distance between the filtered air pressure data;
and the aggregation module is used for performing weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink jet printing equipment.
The present application further provides an electronic device, the electronic device including: a memory, a processor and a program of the air pressure measuring method stored on the memory and executable on the processor, the program of the air pressure measuring method being executable by the processor to implement the steps of the air pressure measuring method as described above.
The present application also provides a computer-readable storage medium having stored thereon a program for implementing the air pressure measuring method, which when executed by a processor implements the steps of the air pressure measuring method as described above.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the air pressure measurement method as described above.
Compared with a method for detecting equipment faults by adopting a single air pressure sensor, the method for detecting the equipment faults by adopting the air pressure sensor comprises the steps of acquiring air pressure data acquired by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment; generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data; generating support degrees among the air pressure sensors according to the observation distance among the filtered air pressure data; according to the support degrees, the filtering air pressure data is subjected to weighted aggregation to obtain target air pressure data corresponding to the ink-jet printing equipment, and the air pressure data of the multiple air pressure sensors are subjected to filtering weighted aggregation to realize the fusion of a plurality of correct air pressure data and carry out air pressure measurement on the ink-jet printing equipment, so that the problem that when a single air pressure sensor breaks down, the air pressure sensor needs to be repaired, the measurement efficiency of air pressure measurement is low, or the acquired air pressure data is a technical defect of a wrong data condition is solved, and the measurement accuracy and the measurement efficiency of the air pressure measurement are both considered.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a first embodiment of a method for measuring air pressure according to the present application;
FIG. 2 is a diagram illustrating a comparison between air pressure data processed by Kalman filtering and air pressure data without Kalman filtering according to the present application;
FIG. 3 is a diagram illustrating a comparison between a single sensor and multiple sensors for air pressure measurement in the present air pressure measurement method;
fig. 4 is a schematic structural diagram of a hardware operating environment related to an air pressure measurement method in an embodiment of the present application.
The implementation of the objectives, functional features, and advantages of the present application will be further described with reference to the accompanying drawings.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments of the present application are described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all 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 application.
Example one
In a first embodiment of the present application, referring to fig. 1, the method for measuring an air pressure includes:
step S10, acquiring air pressure data acquired by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment;
step S20, performing dynamic filtering processing on the air pressure data to generate filtered air pressure data;
step S30, generating a support degree between the air pressure sensors according to the observation distance between the filtered air pressure data;
and S40, carrying out weighted aggregation on the filtered air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink jet printing equipment.
In this embodiment, it should be noted that the inkjet printing apparatus may be an OLED inkjet printing apparatus. The difference degree is used for representing the difference degree between the air pressure sensors.
It can be understood that, when a single air pressure sensor is used for air pressure measurement, interference signals may exist due to crosstalk between the OLED inkjet printing devices, so that measurement accuracy of acquired air pressure data is low, and when the single air pressure sensor fails, box opening fault processing needs to be performed on the OLED inkjet printing devices, but in a spray printing process of the OLED inkjet printing devices, due to toxicity and unstable properties of ink, the ink is easy to oxidize and needs to be performed in a nitrogen environment, after the box opening process is completed to process the fault of the air pressure sensor, nitrogen needs to be introduced into the OLED inkjet printing devices again, and the OLED inkjet printing devices need to be debugged, so that a lot of time is consumed.
To solve the above-mentioned drawback, steps S10 to S40 include: carrying out air pressure measurement on the ink-jet printing equipment through at least two air pressure sensors arranged in at least two air pressure measurement position areas of the ink-jet printing equipment to obtain air pressure data and obtain the air pressure data; carrying out dynamic filtering processing on each air pressure data to obtain filtered air pressure data; determining observation distances among the filtered air pressure data, and generating support degrees among the air pressure sensors according to the observation distances; and carrying out weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink-jet printing equipment.
In step S20, the air pressure data includes first air pressure data corresponding to a current time step and second air pressure data corresponding to a previous time step, and the step of generating filtered air pressure data by performing dynamic filtering processing on the air pressure data includes:
step S21, predicting the second air pressure data to obtain filtering air pressure data;
and S22, dynamically filtering the first air pressure data and the filtering air pressure data according to the filtering gain corresponding to the air pressure data to obtain filtering air pressure data.
In this embodiment, it should be noted that the time step may be set as a time period of periodic extraction, so that each dynamic filtering process of the air pressure data is performed based on the second air pressure data of the previous time step.
It is understood that since crosstalk between the inkjet printing apparatus and the air pressure sensor may have an interference signal, the air pressure data directly acquired may have noise, resulting in low measurement accuracy of the air pressure measurement.
To solve the above-mentioned drawback, the steps S21 to S22 exemplarily include: constructing an air pressure sensor measurement model, acquiring historical state data corresponding to the second air pressure data, and performing state prediction on the air pressure data according to the air pressure sensor measurement model and the historical state data to obtain state prediction data; determining historical covariance data corresponding to the second air pressure data, determining covariance prediction data corresponding to the first air pressure data according to the historical covariance data, and determining Kalman filtering gain corresponding to the air pressure data according to the covariance prediction data; and weighting according to the Kalman filtering gain, the state prediction data and the first air pressure data to obtain the filtering air pressure data.
Optionally, the step of constructing the air pressure sensor measurement model may specifically be:
wherein, the first and the second end of the pipe are connected with each other,
is air pressure state data;
is the first air pressure data;
is a state transition matrix;
is a control matrix;
is an observation matrix;
a control amount for pressurizing and depressurizing a gas tank in the ink jet printing apparatus;
system noise between the air pressure sensor and the ink jet printing device;
the measurement error of the air pressure sensor is obtained.
It will be appreciated that since the system of the inkjet printing apparatus is a single dimensional pressure measurement system, there is a need for a system that is capable of measuring pressure in a single dimension
. The control quantity is determined by the opening degree of a servo valve in the OLED ink-jet printing device.
Optionally, the step of performing state prediction on the air pressure data according to the air pressure sensor measurement model and the historical state data to obtain state prediction data may specifically be:
wherein the content of the first and second substances,
predicting data for the state;
the historical state data;
a control amount for pressurizing and depressurizing the gas tank in the ink jet printing apparatus.
Optionally, the step of determining covariance prediction data corresponding to the first air pressure data according to the historical covariance data may specifically be:
wherein the content of the first and second substances,
predicting data for the covariance;
predicting data for historical covariance;
is system noise between the air pressure sensor and the inkjet printing apparatus.
Optionally, the step of determining the kalman filter gain corresponding to the air pressure data according to the covariance prediction data may specifically be:
wherein, the first and the second end of the pipe are connected with each other,
is the Kalman filter gain;
predicting data for the covariance;
the measurement error of the air pressure sensor is obtained.
Optionally, the step of obtaining the filtered air pressure data by weighting according to the kalman filtering gain, the state prediction data, and the first air pressure data may specifically be:
wherein, the first and the second end of the pipe are connected with each other,
is the filtered barometric pressure data;
predicting data for the state;
is the Kalman filter gain;
is the first air pressure data.
Optionally, after the step of obtaining the filtered air pressure data by weighting according to the kalman filtering gain, the state prediction data, and the first air pressure data, the method further includes: updating the covariance prediction data according to the Kalman filtering gain, acquiring the air pressure data of the next time step, and returning to the execution step: and according to the air pressure sensor measurement model and the historical air pressure data, performing state prediction on the air pressure data to obtain state prediction data.
Optionally, the step of updating the covariance prediction data according to the kalman filter gain may specifically be:
wherein the content of the first and second substances,
predicting data for the updated covariance;
predicting data for the covariance;
is the Kalman filter gain;
is an identity matrix.
By carrying out filtering processing on the air pressure data, the measurement accuracy of the air pressure data is improved, noise in the air pressure data is eliminated to a certain extent, the technical defect that the measurement accuracy of the air pressure measurement is low due to interference signals possibly existing in crosstalk between an ink-jet printing device and an air pressure sensor and noise possibly existing in the directly acquired air pressure data is avoided, and therefore the air pressure measurement accuracy is improved, as one example, referring to fig. 2, fig. 2 includes a comparison graph between air pressure data which is subjected to Kalman filtering processing and air pressure data which is not subjected to Kalman filtering processing, as can be known from fig. 2, the measured air pressure data is very unstable due to the noise existing in the air pressure measurement process, if the air pressure data is not subjected to Kalman filtering processing, the measurement accuracy of the air pressure measurement is low, the data after the air pressure data is subjected to the Kalman filtering processing is relatively stable, and the measurement stability of the air pressure measurement is also improved.
In step S30, the step of generating a support degree between the air pressure sensors according to the observation distance between the filtered air pressure data includes:
s31, determining the observation distance between every two filtering air pressure data;
step S32, carrying out normalization processing on each observation distance to obtain a normalized distance;
step S33 is to generate a support degree of each of the air pressure sensors with respect to the other air pressure sensors based on each of the normalized distances.
It can be understood that, when a plurality of air pressure sensors are installed in the inkjet printing apparatus, a failure of a single or a plurality of air pressure sensors is likely to occur, if the air pressure sensor has a failure, the failure air pressure data acquired by the failure air pressure sensor may pollute other normal air pressure data, and if the failure is not eliminated, the measurement accuracy of the air pressure measurement is extremely low, so that, in order to overcome the above-mentioned defects, the failure air pressure sensor needs to be identified, for example, steps S31 to S33 include: calculating to obtain the observation distance between every two air pressure sensors according to the filtered air pressure data; normalizing each observation distance to obtain a normalized distance; and integrating the normalized distances to obtain the support degree of each air pressure sensor to other air pressure sensors.
As an example, the step of calculating the observation distance between each two of the air pressure sensors according to each filtered air pressure data may specifically be:
wherein the content of the first and second substances,
is a barometric pressure sensor
And air pressure sensor
The observation distance between;
is a barometric pressure sensor
Filtered air pressure data of (a);
is a barometric pressure sensor
The filtered air pressure data of (a);
is the total amount of the air pressure sensor.
As an example, a pearson correlation coefficient between a first filtered barometric pressure data for a first barometric pressure sensor and a second filtered barometric pressure data for a second barometric pressure sensor is calculated based on the first filtered barometric pressure data and the second filtered barometric pressure data, and the pearson correlation coefficient is taken as an observed distance between the first barometric pressure sensor and the second barometric pressure sensor.
As an example, a euclidean distance between a first filtered air pressure data of a first air pressure sensor and a second filtered air pressure data of a second air pressure sensor is calculated as a function of the first filtered air pressure data and the second filtered air pressure data, the euclidean distance being taken as an observed distance between the first air pressure sensor and the second air pressure sensor.
Optionally, the step of performing normalization processing on each observation distance to obtain a normalized distance may specifically be:
wherein the content of the first and second substances,
for air pressure sensors
And air pressure sensor
Normalized distance therebetween;
for air pressure sensors
And air pressure sensor
The observation distance between;
is a barometric pressure sensor
Filtered air pressure data of (a);
is a barometric pressure sensor
Filtered air pressure data of (a);
is the total amount of the air pressure sensor.
Optionally, the step of integrating the normalized distances to obtain the support degree of each of the air pressure sensors with respect to the other air pressure sensors may specifically be:
wherein, the first and the second end of the pipe are connected with each other,
the support degree of the air pressure sensor to other air pressure sensors is shown;
is the total amount of the air pressure sensor.
Compared with a method for detecting equipment faults by adopting a single air pressure sensor, the method for measuring the air pressure obtains air pressure data collected by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment; generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data; generating support degrees among the air pressure sensors according to the observation distance among the filtered air pressure data; according to the support degrees, the filtering air pressure data is subjected to weighted aggregation to obtain target air pressure data corresponding to the ink-jet printing equipment, and the air pressure data of the multiple air pressure sensors are subjected to filtering weighted aggregation to realize the fusion of a plurality of correct air pressure data and carry out air pressure measurement on the ink-jet printing equipment, so that the problem that when a single air pressure sensor breaks down, the air pressure sensor needs to be repaired, the measurement efficiency of air pressure measurement is low, or the acquired air pressure data is a technical defect of a wrong data condition is solved, and the measurement accuracy and the measurement efficiency of the air pressure measurement are both considered.
Example two
Further, based on the first embodiment of the present application, in another embodiment of the present application, the same or similar contents to the first embodiment described above may be referred to the above description, and are not repeated herein. On this basis, in step S40, the step of performing weighted aggregation on the filtered air pressure data according to each of the support degrees to obtain target air pressure data corresponding to the inkjet printing apparatus includes:
step S41, weighting the filtering air pressure data once according to each support degree to obtain first weighted air pressure data;
step S42, determining an estimation error and a variance error corresponding to each first weighted air pressure data;
step S43, carrying out secondary weighting on each first weighted air pressure data according to the estimation error to obtain a mean square error;
and S44, carrying out global aggregation on the first weighted air pressure data according to the variance error and the mean square error to obtain target air pressure data corresponding to the ink-jet printing equipment.
It can be understood that, when a single air pressure sensor is used for air pressure measurement, the input data of the air pressure measurement is relatively single, and it is easy for the case that the accuracy of the air pressure measurement is relatively low, to solve the above-mentioned drawback, for example, steps S41 to S44 include: weighting the filtered air pressure data for one time according to each support degree to obtain first weighted air pressure data; calculating an estimation error and a variance error of each first weighted air pressure data according to each first weighted air pressure data; constructing a measurement equation according to the first weighted air pressure data, the observation matrix and the estimation error; weighting each first weighted air pressure data according to the measurement equation and the variance error to obtain a mean square error; solving the mean square error to obtain a mean square error; estimating the mean square error to obtain an estimated mean square error; according to the mean square error and the mean square estimation error, global aggregation is conducted on the first weighted air pressure data to obtain target air pressure data corresponding to the ink-jet printing equipment, air pressure measurement is conducted through a plurality of air pressure sensors, and weighted aggregation is conducted on the plurality of air pressure data, so that the obtained target air pressure data are obtained through common decision of the plurality of air pressure data, and accuracy of air pressure measurement is improved.
As an example, referring to fig. 3, fig. 3 includes a comparison graph between air pressure measurement performed by a single sensor and air pressure measurement performed by multiple sensors, where an error value of a filtering result obtained by filtering sensor data acquired by the single sensor is large, and since a portion measured by the air pressure sensor is single, when an air pressure distribution difference of each portion in an inkjet printing apparatus is large, a situation that measured sensor data is inaccurate easily occurs, so that accuracy of the air pressure measurement is low, and air pressure measurement is performed at different portions of the inkjet printing apparatus by using three or more sensors, so that target air pressure data obtained is determined by multiple air pressure data together, thereby improving accuracy of the air pressure measurement.
Optionally, the step of constructing a measurement equation according to the first weighted air pressure data, the observation matrix, and the estimation error may specifically be:
wherein the content of the first and second substances,
is a set of said first weighted air pressure data,
for the set of estimation errors to be described,
is the observation matrix.
It will be appreciated that since the system of the inkjet printing apparatus is a single dimensional pressure measurement system, there is a need for a system that is capable of measuring pressure in a single dimension
. Since the first weighted air pressure data are not correlated with each other, the following relationship exists:
wherein, the first and the second end of the pipe are connected with each other,
is a barometric pressure sensor
The variance between the filtered barometric pressure data of (a);
is the estimation error;
is a covariance matrix.
Optionally, the step of weighting each of the first weighted barometric pressure data according to the measurement equation and the variance error to obtain a mean square error may specifically be:
wherein the content of the first and second substances,
is the mean square error;
is the set of first weighted air pressure data;
is a covariance matrix;
is the observation matrix.
Optionally, the step of solving the mean square error to obtain a mean square error may specifically be:
wherein the content of the first and second substances,
is the estimation error;
is the observation matrix;
is a covariance matrix.
Optionally, the estimating the mean square error to obtain an estimated mean square error specifically may be:
wherein, the first and the second end of the pipe are connected with each other,
is the estimated mean square error;
is the observation matrix;
is a covariance matrix;
is a barometric pressure sensor
The variance between the filtered barometric pressure data.
Optionally, the step of performing global estimation on each of the first weighted air pressure data according to the mean square error and the mean square estimation error to obtain fused air pressure data may specifically be:
wherein the content of the first and second substances,
the fused air pressure data is obtained;
is the observation matrix;
is a covariance matrix;
is the set of first weighted air pressure data;
is a barometric pressure sensor
The variance between the filtered barometric pressure data of (a);
is the estimated mean square error;
is the mean square error.
As an example, referring to fig. 3, fig. 3 includes a comparison graph of air pressure error values between air pressure data of a single sensor and air pressure data obtained by weighted aggregation among multiple sensors, and it can be seen from fig. 3 that the air pressure error value corresponding to the air pressure data acquired by the single sensor is higher than the air pressure error value obtained by weighted aggregation of the air pressure data acquired by the multiple sensors most of the time.
In step S41, the step of weighting the filtered air pressure data once according to each of the support degrees to obtain first weighted air pressure data includes:
step A10, generating weights corresponding to the filtering air pressure data according to the support degrees;
and A20, weighting the filtered air pressure data according to each weight to obtain first weighted air pressure data.
As an example, steps a10 to a20 include: inquiring a preset weight library according to each support degree to obtain the weight corresponding to each filtering air pressure data, wherein the preset weight library comprises the corresponding relation between each support degree and each weight; and weighting the filtered air pressure data according to each weight to obtain first weighted air pressure data.
As an example, steps a10 to a20 include: mapping to obtain the weight corresponding to each filtering air pressure data according to each support degree and a preset mapping relation; and weighting the filtered air pressure data according to each weight to obtain first weighted air pressure data.
Different weights are given to different support degrees, lower weight is given to the filtering air pressure data corresponding to the suspected-fault air pressure sensor, and higher weight is given to the filtering air pressure data corresponding to the normal air pressure sensor, so that the target air pressure data of the weighted aggregation is closer to the actual air pressure, and the measurement accuracy of air pressure measurement is further improved.
In step S41, the weighting includes a first weighting and a second weighting, and the step of weighting the filtered air pressure data once according to each of the support degrees to obtain first weighted air pressure data further includes:
step B10, if the support degree is smaller than a preset support degree threshold value, generating the first weight as a weight corresponding to the filtering air pressure data;
and step B20, if the support degree is not less than a preset support degree threshold value, generating the second weight as a weight corresponding to the filtered air pressure data, wherein the first weight is greater than the second weight.
In this embodiment, it should be noted that the preset support threshold is a support threshold for determining that the air pressure sensor has a fault, and the preset support threshold may be determined by the accuracy of the air pressure sensor and the expected measurement accuracy of the user.
It can be understood that, in order to avoid that the whole air pressure data is polluted due to the single or multiple air pressure sensors failing, it is necessary to identify the failed air pressure sensor and reject the failed air pressure data corresponding to the failed air pressure sensor, so as to avoid that the failed air pressure data causes data pollution to all the air pressure data, for example, steps B10 to B20 include: judging whether the support degree is smaller than a preset support degree threshold value or not, and if the support degree is smaller than the preset support degree threshold value, generating the first weight as the weight corresponding to the filtering air pressure data; if the support degree is not less than a preset support degree threshold, generating the second weight as the weight corresponding to the filtered air pressure data, where the first weight is greater than the second weight, for example, when the support degree is less than the preset support degree threshold, 1 is used as the weight, and when the support degree is not less than the preset support degree threshold, 0 is used as the weight.
In step S10, before the step of acquiring air pressure data collected by at least two air pressure sensors, where each air pressure sensor is disposed at least two air pressure measurement position areas of the inkjet printing apparatus, the method further includes:
step C10, acquiring component information of a detection component in the ink-jet printing device and the measurement precision of the air pressure sensor, wherein the component information at least comprises one of size information, area information, shape information and construction information;
step C20, determining each mounting position on the detection component and the mounting number corresponding to each mounting position according to the measurement precision and the component information;
and step C30, mounting each air pressure sensor to the ink-jet printing equipment according to each mounting position and each mounting quantity corresponding to each two to acquire air pressure data.
It can be understood that, when adopting single baroceptor to carry out barometry, the ink circulation in-process, for the pressure stability that keeps the ink bottle, OLED inkjet printing equipment's gas pitcher position needs continuous intake and exhaust, at this moment, the different circumstances that the difference is great even appear in the atmospheric pressure at the different positions of gas pitcher easily, thereby lead to the unable holistic atmospheric pressure characteristic of the unable sign gas pitcher of atmospheric pressure data that the measurement obtained, and then make the barometry accuracy lower, for solving above-mentioned defect, at the air inlet of gas pitcher, the equal or unequal baroceptor of gas outlet and steady voltage district installation quantity, with the atmospheric pressure of all-round response gas pitcher, thereby improve the barometry accuracy.
Compared with a method for detecting equipment faults by adopting a single air pressure sensor, the method for measuring the air pressure obtains air pressure data collected by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment; generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data; generating support degrees among the air pressure sensors according to the observation distance among the filtered air pressure data; according to the support degrees, the filtering air pressure data is subjected to weighted aggregation to obtain target air pressure data corresponding to the ink-jet printing equipment, and the air pressure data of the multiple air pressure sensors are subjected to filtering weighted aggregation to realize the fusion of a plurality of correct air pressure data and carry out air pressure measurement on the ink-jet printing equipment, so that the problem that when a single air pressure sensor breaks down, the air pressure sensor needs to be repaired, the measurement efficiency of air pressure measurement is low, or the acquired air pressure data is a technical defect of a wrong data condition is solved, and the measurement accuracy and the measurement efficiency of the air pressure measurement are both considered.
EXAMPLE III
The embodiment of this application still provides an air pressure measuring device, air pressure measuring device is applied to the air pressure measuring equipment, air pressure measuring device includes:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring air pressure data acquired by at least two air pressure sensors, and each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment;
the filtering module is used for generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data;
the generating module is used for generating the support degree between the air pressure sensors according to the observation distance between the filtered air pressure data;
and the aggregation module is used for performing weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink jet printing equipment.
Optionally, the air pressure data includes first air pressure data corresponding to a current time step and second air pressure data corresponding to a previous time step, and the filtering module is further configured to:
predicting the second air pressure data to obtain filtering air pressure data;
and dynamically filtering the first air pressure data and the filtering air pressure data according to the filtering gain corresponding to the air pressure data to obtain filtering air pressure data.
Optionally, the generating module is further configured to:
determining the observation distance between every two filtering air pressure data;
normalizing each observation distance to obtain a normalized distance;
and generating the support degree of each air pressure sensor to other air pressure sensors according to each normalized distance.
Optionally, the aggregation module is further configured to:
according to the support degrees, carrying out primary weighting on the filtering air pressure data to obtain first weighted air pressure data;
determining an estimation error and a variance error corresponding to each first weighted air pressure data;
according to the estimation error, carrying out secondary weighting on each first weighted air pressure data to obtain a mean square error;
and according to the variance error and the mean square error, carrying out global aggregation on the first weighted air pressure data to obtain target air pressure data corresponding to the ink-jet printing equipment.
Optionally, the aggregation module is further configured to:
generating weights corresponding to the filtering air pressure data according to the support degrees;
and weighting the filtered air pressure data according to each weight to obtain first weighted air pressure data.
Optionally, the weight includes a first weight and a second weight, and the aggregating module is further configured to:
if the support degree is smaller than a preset support degree threshold value, generating the first weight as a weight corresponding to the filtering air pressure data;
and if the support degree is not less than a preset support degree threshold value, generating the second weight as the weight corresponding to the filtering air pressure data, wherein the first weight is greater than the second weight.
Optionally, before the step of acquiring air pressure data collected by at least two air pressure sensors, wherein each air pressure sensor is disposed at least two air pressure measurement position areas of the inkjet printing apparatus, the air pressure measurement device is further configured to:
acquiring component information of a component to be measured in the inkjet printing equipment and measurement accuracy of the air pressure sensor, wherein the component information at least comprises one of size information, area information, shape information and construction information;
determining each air pressure measurement position area on the component to be measured and the number of air pressure sensors corresponding to each air pressure measurement position area according to the measurement precision and the component information;
and deploying the air pressure sensors to the ink-jet printing equipment according to the air pressure measuring position areas and the quantity of the air pressure sensors corresponding to each two air pressure measuring position areas so that the air pressure sensors can collect air pressure data.
The application provides an air pressure measuring device, adopts the air pressure measuring method in the above-mentioned embodiment, has solved the technical problem that can't compromise atmospheric pressure measuring's measurement accuracy and measurement efficiency. Compared with the prior art, the beneficial effects of the air pressure measuring device provided by the embodiment of the application are the same as the beneficial effects of the air pressure measuring method provided by the embodiment, and other technical features of the air pressure measuring device are the same as those disclosed by the embodiment method, which are not repeated herein.
Example four
An embodiment of the present application provides an electronic device, which includes: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the air pressure measurement method in the above embodiments.
Referring now to FIG. 4, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.) that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device, the ROM, and the RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
Generally, the following systems may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, keyboards, mice, image air pressure sensors, microphones, accelerometers, gyroscopes, etc.; output devices including, for example, liquid Crystal Displays (LCDs), speakers, vibrators, and the like; storage devices including, for example, magnetic tape, hard disk, etc.; and a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device with various systems, it is to be understood that not all illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means, or installed from a storage means, or installed from a ROM. The computer program, when executed by a processing device, performs the functions defined in the methods of the embodiments of the present disclosure.
The electronic device provided by the application adopts the air pressure measuring method in the embodiment, and the technical problem that the measurement accuracy and the measurement efficiency of air pressure measurement cannot be considered at the same time is solved. Compared with the prior art, the electronic device provided by the embodiment of the application has the same beneficial effects as the air pressure measuring method provided by the embodiment, and other technical features of the electronic device are the same as those disclosed by the embodiment method, which are not repeated herein.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
EXAMPLE five
The present embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon for performing the method of the air pressure measuring method in the above-described embodiments.
The computer readable storage medium provided by the embodiments of the present application may be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the above. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present embodiment, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer-readable storage medium may be embodied in an electronic device; or may be present alone without being incorporated into the electronic device.
The computer readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring air pressure data acquired by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment; generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data; generating a support degree between the air pressure sensors according to the observation distance between the filtered air pressure data; and carrying out weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink-jet printing equipment.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the names of the modules do not in some cases constitute a limitation of the unit itself.
The computer-readable storage medium provided by the application stores a computer-readable program instruction for executing the air pressure measurement method, and solves the technical problem that measurement accuracy and measurement efficiency of air pressure measurement cannot be considered at the same time. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment of the application are the same as the beneficial effects of the air pressure measurement method provided by the implementation, and are not repeated herein.
EXAMPLE six
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the air pressure measurement method as described above.
The computer program product solves the technical problem that the measurement accuracy and the measurement efficiency of air pressure measurement cannot be considered at the same time. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present application are the same as the beneficial effects of the air pressure measurement method provided by the above embodiment, and are not described herein again.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (9)
1. An air pressure measuring method applied to an ink jet printing apparatus, the air pressure measuring method comprising:
acquiring air pressure data acquired by at least two air pressure sensors, wherein each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment;
generating filtered air pressure data by carrying out dynamic filtering processing on the air pressure data;
generating a support degree between the air pressure sensors according to the observation distance between the filtered air pressure data;
according to the support degrees, carrying out weighted aggregation on the filtering air pressure data to obtain target air pressure data corresponding to the ink-jet printing equipment;
before the step of acquiring air pressure data collected by at least two air pressure sensors, wherein each air pressure sensor is disposed at least two air pressure measurement position areas of the inkjet printing apparatus, the method further includes:
acquiring component information of a component to be measured in the inkjet printing equipment and measurement accuracy of the air pressure sensor, wherein the component information at least comprises one of size information, area information, shape information and construction information;
determining each air pressure measurement position area on the component to be measured and the number of air pressure sensors corresponding to each air pressure measurement position area according to the measurement precision and the component information;
and deploying the air pressure sensors to the ink-jet printing equipment according to the air pressure measuring position areas and the quantity of the air pressure sensors corresponding to each two air pressure measuring position areas so that the air pressure sensors can collect air pressure data.
2. The method of claim 1, wherein the step of generating a support between the plurality of air pressure sensors based on the observed distance between the plurality of filtered air pressure data comprises:
determining the observation distance between every two filtering air pressure data;
normalizing each observation distance to obtain a normalized distance;
and generating the support degree of each air pressure sensor to other air pressure sensors according to each normalized distance.
3. The method of claim 1, wherein the barometric pressure data includes a first barometric pressure data corresponding to a current time step and a second barometric pressure data corresponding to a previous time step, and the step of generating filtered barometric pressure data by dynamically filtering the barometric pressure data includes:
predicting the second air pressure data to obtain filtering air pressure data;
and dynamically filtering the first air pressure data and the filtering air pressure data according to the filtering gain corresponding to the air pressure data to obtain filtering air pressure data.
4. The air pressure measuring method according to claim 1, wherein the step of performing weighted aggregation on the filtered air pressure data according to each of the support degrees to obtain target air pressure data corresponding to the inkjet printing apparatus comprises:
weighting the filtered air pressure data for one time according to each support degree to obtain first weighted air pressure data;
determining an estimation error and a variance error corresponding to each first weighted air pressure data;
according to the estimation error, carrying out secondary weighting on each first weighted air pressure data to obtain a mean square error;
and according to the variance error and the mean square error, carrying out global aggregation on the first weighted air pressure data to obtain target air pressure data corresponding to the ink-jet printing equipment.
5. The method of claim 4, wherein the step of weighting the filtered barometric pressure data once according to the respective support degrees to obtain a first weighted barometric pressure data comprises:
generating weights corresponding to the filtering air pressure data according to the support degrees;
and weighting the filtered air pressure data according to each weight to obtain first weighted air pressure data.
6. The method of claim 5, wherein the weight includes a first weight and a second weight, and wherein the step of generating a weight corresponding to each of the filtered air pressure data according to each of the support degrees further comprises:
if the support degree is smaller than a preset support degree threshold value, generating the first weight as the weight corresponding to the filtering air pressure data;
and if the support degree is not less than a preset support degree threshold value, generating the second weight as the weight corresponding to the filtering air pressure data, wherein the first weight is greater than the second weight.
7. An air pressure measuring device, applied to an inkjet printing apparatus, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring air pressure data acquired by at least two air pressure sensors, and each air pressure sensor is arranged in at least two air pressure measurement position areas of the ink-jet printing equipment;
the filtering module is used for generating filtering air pressure data by carrying out dynamic filtering processing on the air pressure data;
the generating module is used for generating the support degree between the air pressure sensors according to the observation distance between the filtered air pressure data;
the aggregation module is used for carrying out weighted aggregation on the filtering air pressure data according to the support degrees to obtain target air pressure data corresponding to the ink-jet printing equipment;
before the acquiring of the air pressure data collected by the at least two air pressure sensors, wherein each air pressure sensor is disposed at least two air pressure measurement position areas of the inkjet printing apparatus, the air pressure measurement device is further configured to:
acquiring component information of a component to be measured in the inkjet printing equipment and measurement accuracy of the air pressure sensor, wherein the component information at least comprises one of size information, area information, shape information and construction information;
determining each air pressure measurement position area on the component to be measured and the number of air pressure sensors corresponding to each air pressure measurement position area according to the measurement precision and the component information;
and deploying the air pressure sensors to the ink-jet printing equipment according to the air pressure measuring position areas and the quantity of the air pressure sensors corresponding to each two air pressure measuring position areas so that the air pressure sensors can collect air pressure data.
8. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the air pressure measurement method of any one of claims 1 to 6.
9. A computer-readable storage medium, having stored thereon a program for implementing an air pressure measurement method, the program being executed by a processor to implement the steps of the air pressure measurement method according to any one of claims 1 to 6.
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| CN103287107B (en) * | 2012-02-28 | 2015-08-19 | 北京美科艺数码科技发展有限公司 | A kind of ink-jet printer ink-providing control system failure automatic detection method |
| DE102012203097B3 (en) * | 2012-02-29 | 2013-04-11 | Continental Automotive Gmbh | Method for determining error of pressure measured by pressure sensor in pressure accumulator for storing fluid in automobile, involves determining two three-tuples of pressures and of time period |
| DE102015214589B4 (en) * | 2015-07-31 | 2017-02-09 | Continental Automotive Gmbh | Method for checking the plausibility of the function of a pressure sensor |
| EA034632B1 (en) * | 2016-04-06 | 2020-02-28 | Ебс Инк Джет Системе Гмбх | Inkjet printer for labelling goods having a writing head and having a storage vessel |
| US10946665B2 (en) * | 2017-07-12 | 2021-03-16 | Hewlett-Packard Development Company, L.P. | Determining an out-of-liquid condition |
| FR3079882B1 (en) * | 2018-04-10 | 2020-10-16 | Continental Automotive France | METHOD FOR MONITORING A PRESSURE SENSOR IN A DIRECT INJECTION SYSTEM |
| JP7349238B2 (en) * | 2018-09-28 | 2023-09-22 | 旭化成株式会社 | Humidity measuring device and dew point temperature measuring device |
| CN112319068B (en) * | 2020-09-18 | 2022-07-22 | 季华实验室 | Intelligent ink path pressure control system of ink-jet printing equipment and control method thereof |
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