CN114885022B - Dynamic data processing system and method based on industrial equipment - Google Patents

Dynamic data processing system and method based on industrial equipment Download PDF

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CN114885022B
CN114885022B CN202210808849.6A CN202210808849A CN114885022B CN 114885022 B CN114885022 B CN 114885022B CN 202210808849 A CN202210808849 A CN 202210808849A CN 114885022 B CN114885022 B CN 114885022B
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孟文博
曹祖鹏
彭毅
徐晓龙
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Nanjing Zhiyixing Information Technology Co ltd
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Abstract

The invention discloses a dynamic data processing system and method based on industrial equipment, and the dynamic data processing system comprises a data acquisition processing module, wherein the data acquisition processing module controls an industrial internet of things gateway to acquire the full data of a PLC once and compare the full data with the data of the last acquisition period in a memory, the industrial internet of things gateway acquires the full data of the PLC once every first unit time T2, and the first unit time T2 is a preset constant in a database. The invention relates to the technical field of dynamic data processing, aiming at an industrial Internet of things gateway, when the data of a PLC (programmable logic controller) is collected, the integrity of the data is ensured, the accuracy of data collection is ensured, and the business realization of industrial application can be perfectly supported; and the data transmission amount is saved, and the phenomenon that when the industrial application is positioned at the cloud end, the data acquisition amount is too large and too dense, and then too much data flow is consumed is avoided.

Description

Dynamic data processing system and method based on industrial equipment
Technical Field
The invention relates to the technical field of dynamic data processing, in particular to a dynamic data processing system and method based on industrial equipment.
Background
The industrial internet of things gateway is generally used for data acquisition of industrial equipment based on PLC, namely, the industrial internet of things gateway acquires data of the industrial equipment based on PLC, acquires dynamic change data of the PLC in real time, forwards the acquired data to various industrial applications on the upper layer, and realizes networking of the industrial equipment by people through the industrial internet of things gateway, so that control data of the industrial equipment can be uploaded to the network in time, analysis of the data of the industrial equipment is realized, and great convenience is provided for monitoring and management of the industrial equipment.
The dynamic data processing system based on the industrial equipment has two problems at present, on one hand, when the data of the PLC is collected, the integrity of the data needs to be ensured, so that the data reported by the PLC can be accurately analyzed conveniently by corresponding industrial application, and on the other hand, the data transmission quantity needs to be saved, and the problems that the data collection quantity is too large and too dense and further too much data flow is consumed are avoided; in the current prior art, can only solve the problem on the one hand often, can't accomplish both to compromise, and then prior art has great defect.
Disclosure of Invention
The present invention is directed to a system and method for processing dynamic data based on industrial equipment, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a dynamic data processing method based on an industrial device, wherein the industrial device is a device based on PLC control, and the method comprises the following steps:
s1, when the industrial Internet of things gateway is started, acquiring the full data of a PLC once, forwarding upper-layer service application, and caching the full data in the internal memory of the industrial Internet of things gateway;
s2, comparing the total data of the PLC collected by the industrial internet of things gateway every time and the data of the last collection period in the memory, collecting the total data of the PLC by the industrial internet of things gateway every a first unit time T2, wherein the first unit time T2 is a preset constant in the database,
if part of data of the PLC changes, only the changed value is subjected to data encapsulation and forwarded to upper-layer service application;
if the data of the PLC are not changed, the industrial Internet of things gateway does not forward or report the data, and the reported data are variable data;
s3, analyzing the reported data according to the reported data content and the interval time, judging whether the PLC data applied by the upper layer service is matched with the actual PLC data, and determining the time for reporting the full data next time;
and S4, calibrating the total data cached in the memory of the industrial Internet of things gateway by adopting a dynamic PLC total data reporting mode.
The method analyzes the reported data from the content and the interval time of the reported data, judges whether the PLC data of the upper-layer service application is matched with the actual PLC data, considers that the industrial Internet of things gateway reports the numerical value only when the PLC data has dynamic change in long-term use, possibly causes the PLC data of the upper-layer service application to be not matched with the actual PLC data due to some unknown factors (such as the disconnection between the gateway and the PLC, and the like), cannot achieve the effect of data mirroring, further needs to analyze the reported data, and ensures that the total data is reported at intervals.
Further, the total data of the PLC in S1 includes the category number to which each data in the total data belongs, the numerical value corresponding to the corresponding data, and the time corresponding to the obtained corresponding data, and the category numbers corresponding to different data categories in the total data are different;
the category number B1 of each data in the total data, the value B2 corresponding to the corresponding data and the time B3 corresponding to the obtained corresponding data form an array, and the array is marked as [ B1, B2 and B3 ].
In the invention, the numerical value of each data in the full data corresponds to the second data in the corresponding array, and the array corresponding to each data in the full data is constructed, so that the variable data is conveniently packaged in the subsequent process.
Further, the method for comparing the total data of the PLC acquired by the industrial property gateway every time in S2 with the data of the previous acquisition period in the memory includes the following steps:
s2.1, acquiring total data of the PLC collected in the subsequent j-th time of the industrial Internet of things gateway, recording the total data as QLj, and recording a numerical value corresponding to the ith data in QLj as QLj i ；
S2.2, acquiring the total data of the PLC collected at the j-1 th time cached in the memory, and recording as QLj-1;
s2.3, judging that i is differentWhen the value is, QLj-1 indicates whether there is a numerical value QLj corresponding to the i-th data in QLj i The data of the same size is used as the data,
if no value QLj corresponding to the ith data in QLj exists in QLj-1 i Equal data, decision QLj i Belongs to variable data;
if QLj-1 has a value of QLj corresponding to the ith data in QLj i Equal data, QLj-1 will have the value QLj corresponding to the ith data in QLj i The corresponding arrays of equal data are collected into a blank set to obtain QLj i Corresponding first data set, compare QLj i Each element in the corresponding first data set corresponds to QLj i The relationship between the corresponding arrays of data,
when QLj i The corresponding array belongs to QLj i Corresponding first data set, then decision QLj is made i Do not belong to variable data;
when QLj i Corresponding arrays not belonging to QLj i Corresponding first data set, then a decision QLj is made i Belongs to variable data;
the method for encapsulating the changed value comprises the following steps:
s2-1, obtaining QLj an array corresponding to each data of the variable data and a third numerical value in each array;
s2-2, comparing the maximum value of the third values respectively corresponding to each array, and marking as B3zj, wherein the B3zj represents the acquisition time in the corresponding variable data and is used as the reporting time of the variable data;
and S2-3, obtaining variable data { Cj, B3zj } after data encapsulation, wherein Cj represents a set formed by corresponding arrays of each data belonging to the variable data in QLj.
When the variable data after data encapsulation is obtained, a set formed by corresponding arrays of each data belonging to the variable data is set, so that the content of the reported variable data is conveniently analyzed in the subsequent process; the time for reporting the variable data is set, so that the time interval between the reported data can be conveniently analyzed in the subsequent process.
Further, the method for analyzing the reported data at the interval time in S3 includes the following steps:
s3.1, acquiring each variable data reported by the industrial Internet of things gateway after the last report of the full data, calculating the time interval between two adjacent reports of the data, wherein the reported data of the industrial Internet of things gateway comprises the full data and the variable data, the reporting time corresponding to the full data is the maximum value of the third numerical value in each corresponding array of the data in the full data, recording the total times of reporting the data by the industrial Internet of things gateway from the last report of the full data as n,
recording the time interval between the reporting time of the data reported by the nth industrial IOT gateway and the reporting time of the data reported by the (n-1) th industrial IOT gateway as X n-1 And n is more than or equal to 2;
s3.2 principle based on LSTM network, X 1 To X n-1 The state of association of is C 1 To C n-1 The relevance state represents whether to trigger the reporting of full data, and the relevance state data is obtained through a database;
s3.3, calculating X n C corresponding to different values n Value of X n And C n As multidimensional data H n Means that the backward time sequence information H is determined by inputting the forward time sequence information n 、X n And C n Output of (a), X n Representing the time interval between the last variable data report and the full data report, C n Indicating the last time the state of association was indicated,
C n =σ(W f *[H n-1 , X n ]+b f )*C t-1 +σ(W i *[H n-1 , X n ]+b i )*tanh(W c *[H n-1 , X n ]+b c )，
H n =σ(W o *[H n-1 , X n ]+b o )*tanh(C n )，
where σ denotes sigmoid activation function, [ H ] n-1 , X n ]Represents H n-1 And X n Of a connection vector of (1), tanh represents bisCurve tangent function, W f Is a first weight value, W i Is a second weight value, W c Is a third weight value, W o Is a fourth weight value, b f Is a first bias term, b i Is a second bias term, b c Is a third bias term, b o Is a fourth bias term, W f 、W i 、W c 、W o 、b f 、b i 、b c And b o Obtaining through a database;
s3.4, recording the time interval between the next triggering and reporting of the total data by the industrial IoT gateway and the last reporting of the total data by the industrial IoT gateway as QT, judging the time interval between the next triggering and reporting of the total data by the industrial IoT gateway and the last reporting of the data by the industrial IoT gateway,
when the variable data is not reported after the industrial IoT gateway reports the full data for the last time, comparing the QT with the first unit time T2,
if QT is less than the first unit time T2, the PLC data applied by the upper layer service is judged to be matched with the data of the actual PLC, the industrial Internet of things gateway does not trigger the report of the full data,
if QT is greater than or equal to first unit time T2, judging that the PLC data applied by the upper layer service is not matched with the data of the actual PLC, and T = QT;
when n is more than or equal to 2,
Figure 390837DEST_PATH_IMAGE002
wherein, X k The time interval between the reporting time of the data reported by the kth industrial Internet of things gateway and the reporting time of the data reported by the kth industrial Internet of things gateway-1 is represented,
if QT is less than the first unit time T2 and C n If the value is less than a second preset value, analyzing the reported data from the reported data content, and judging whether the industrial Internet of things gateway triggers the reporting of the full data, wherein the second preset value is a constant preset in the database,
if QT is less than the first unit time T2 and C n Greater than or equal toAnd at a second preset value, judging that the PLC data applied by the upper layer service is not matched with the data of the actual PLC, and T = { X = X n Min, the { X } n Min means QT is less than the first unit time T2 and C n X corresponding to the situation that the X is larger than or equal to the second preset value n Minimum value of (1);
if QT is greater than or equal to the first unit time T2, the PLC data applied by the upper layer service is judged not to match the data of the actual PLC,
Figure 100002_DEST_PATH_IMAGE003
。
in the process of analyzing the reported data from the interval time, based on the principle of the LSTM network, the time interval corresponding to the next reported data which is the full data is predicted from the time interval of the reported data of the industrial Internet of things gateway, and n is each corresponding correlation state C when different values are obtained n May be different, and C n The value of (a) is continuously updated with the time interval corresponding to the actually reported data.
Further, the method for analyzing the reported data from the reported data content in S3 includes the following steps:
s3-1, acquiring variable data reported each time after the industrial Internet of things gateway reports the full data from the last time;
s3-2, counting the number of data corresponding to the same class number in the variable data reported each time and the corresponding numerical value of the corresponding data, calculating the comprehensive deviation value PCZ corresponding to the variable data reported each time,
Figure 100002_DEST_PATH_IMAGE005
wherein r1 represents the number of category numbers in the variable data, Mr represents the average value of each data corresponding to the r-th category number in the variable data, M1r represents the average value of each data corresponding to the r-th category number in the total data currently cached in the memory of the industrial internet of things gateway, gr represents the number of data corresponding to the r-th category number in the variable data, and g1r represents the number of data corresponding to the r-th category number in the total data currently cached in the memory of the industrial internet of things gateway;
s3-3, acquiring a comprehensive deviation value PCZ corresponding to variable data reported each time after the industrial Internet of things gateway reports the full data from the last time, recording a comprehensive deviation value corresponding to the variable data of the nth time as PCZn, recording a time interval between the reporting time of the variable data of the nth time and the reporting time of the full data of the last time as TGn, fitting a functional relation between the PCZn and the TGn according to a linear regression model preset in a database, recording a function of the PCZn after fitting along with the change of the TGn as F (TGn), wherein the linear regression model preset in the database is a linear function model;
s3-4, when the result of F (TGn) calculation is a third preset value, the value of the corresponding TGn is recorded as TGL, and the third preset value is a preset constant in the database;
s3-5, judging the size between TGL and TGL,
when TGL is greater than
Figure 708817DEST_PATH_IMAGE006
If so, judging that the PLC data applied by the upper layer service is matched with the data of the actual PLC, and not triggering the report of the full data by the industrial Internet of things gateway;
when TGL is less than or equal to
Figure 413599DEST_PATH_IMAGE006
And judging that the PLC data applied by the upper layer service is not matched with the actual PLC data, and immediately triggering the report of the full data by the industrial Internet of things gateway.
In the process of analyzing the reported data from the reported data content, the invention carries out normalization processing on the variable data reported each time by analyzing the difference caused by the number and the value corresponding to each data category number in the variable data reported each time, so as to obtain the comprehensive deviation value corresponding to the variable data reported each time; and acquiring a fitted function F (TGn) of the PCZn changing along with the TGn, in order to analyze the relation between the comprehensive deviation value corresponding to the variable data and the time, further realizing the prediction of the interval time of reporting the full data for two adjacent times through a third preset value, further accurately judging whether the PLC data applied by the upper layer business is matched with the data of the actual PLC, and simultaneously determining whether the industrial Internet of things gateway triggers the reporting of the full data and the corresponding reporting time under the condition of triggering the reporting of the full data.
Further, the method for calibrating the total amount of data cached in the memory of the industrial internet of things gateway in S4 includes the following steps:
s4.1, acquiring the total data cached in the internal memory of the industrial Internet of things gateway at present;
s4.2, acquiring data reported last time by the industrial Internet of things gateway;
s4.3, if the data reported last time by the industrial Internet of things gateway is variable data, adding the variable data obtained in the S4.2 into the full data obtained in the S4.1 to obtain a calibration result of the full data cached in the internal memory of the industrial Internet of things gateway, and calibrating the full data cached in the internal memory of the industrial Internet of things gateway once every time the industrial Internet of things gateway reports the data;
and if the data reported last time by the industrial internet of things gateway is the full data, replacing the full data cached in the S4.1 with the full data obtained in the S4.2 to obtain a calibration result of the full data cached in the memory of the industrial internet of things gateway.
A dynamic data processing system based on industrial equipment, the system comprising the following modules:
the cache module is used for acquiring the full data of the primary PLC when the industrial Internet of things gateway is started, forwarding upper-layer service application and caching the full data in a memory of the industrial Internet of things gateway;
the data acquisition and processing module is used for controlling the industrial Internet of things gateway to acquire the full data of the PLC once and comparing the full data with the data of the last acquisition period in the memory, the industrial Internet of things gateway acquires the full data of the PLC once every other first unit time T2, and the first unit time T2 is a preset constant in the database;
the data matching judgment module analyzes the reported data from the reported data content and the interval time, judges whether the PLC data applied by the upper layer service is matched with the data of the actual PLC, and determines the time for reporting the full data next time;
and the cache data calibration module is used for calibrating the total data cached in the memory of the industrial Internet of things gateway by adopting a dynamic mode of reporting the total data of the PLC.
Furthermore, in the process that the data acquisition processing module controls the industrial Internet of things gateway to acquire the full data of the PLC once and compare the full data with the data of the previous acquisition period in the memory,
if part of data of the PLC changes, only the changed value is subjected to data encapsulation and forwarded to an upper gateway;
if the data of the PLC are not changed, the industrial Internet of things gateway does not forward or report the data, and the reported data are variable data.
Further, in the process of calibrating the total data cached in the memory of the industrial internet of things by the cache data calibration module,
if the data reported last time by the industrial internet of things gateway is variable data, adding the variable data into the full data cached in the memory of the current industrial internet of things gateway to obtain a calibration result of the full data cached in the memory of the industrial internet of things gateway, and calibrating the full data cached in the memory of the industrial internet of things gateway once when the industrial internet of things gateway reports the data once;
and if the data reported last time by the industrial Internet of things gateway is the full data, replacing the full data cached in the memory of the current industrial Internet of things gateway with the full data to obtain the calibration result of the full data cached in the memory of the industrial Internet of things gateway.
Compared with the prior art, the invention has the following beneficial effects: aiming at the industrial Internet of things gateway, when the data of the PLC is collected, the integrity of the data is ensured, and the accuracy of data collection is ensured, namely for the upper-layer industrial application, the data provided by the gateway is complete and credible, and the business realization of the industrial application can be perfectly supported; and the data transmission amount is saved, and the phenomenon that when the industrial application is positioned at the cloud end, the data acquisition amount is too large and too dense, and then too much data flow is consumed is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow diagram of a dynamic data processing method based on an industrial device according to the present invention;
FIG. 2 is a schematic structural diagram of a method for processing dynamic data based on industrial equipment, in which an industrial Internet of things gateway caches full data;
FIG. 3 is a schematic structural diagram of a time interval corresponding to adjacent variable data in a dynamic data processing method based on industrial equipment according to the present invention;
fig. 4 is a schematic structural diagram of the principle of the LSTM network in the dynamic data processing method based on the industrial equipment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a dynamic data processing method based on an industrial device, wherein the industrial device is a device based on PLC control, and the method comprises the following steps:
s1, when the industrial Internet of things gateway is started, acquiring the full data of the primary PLC, forwarding the upper-layer service application, and caching the full data in the memory of the industrial Internet of things gateway;
s2, comparing the total data of the PLC collected by the industrial internet of things gateway every time and the data of the last collection period in the memory, collecting the total data of the PLC by the industrial internet of things gateway every a first unit time T2, wherein the first unit time T2 is a preset constant in the database,
if part of data of the PLC changes, only the changed value is subjected to data encapsulation and forwarded to upper-layer service application;
if the data of the PLC are not changed, the industrial Internet of things gateway does not forward or report the data, and the reported data are variable data;
s3, analyzing the reported data according to the reported data content and the interval time, judging whether the PLC data applied by the upper layer service is matched with the actual PLC data, and determining the time for reporting the full data next time;
and S4, calibrating the total data cached in the memory of the industrial Internet of things gateway by adopting a dynamic PLC total data reporting mode.
In this embodiment, the first unit time T2 is equal to 5 minutes, that is, no matter whether variable data is generated within 5 minutes, a new full data report is triggered in the 5 th minute;
in the period, if the result of analyzing the reported data according to the content and the interval time of the reported data indicates that the PLC data applied by the upper layer service does not match the actual PLC data, a new full data report is triggered in advance, that is, 5 minutes is the maximum interval time between two adjacent full data reports.
The full data of the PLC in the S1 comprises a category number of each data in the full data, a numerical value corresponding to the corresponding data and time corresponding to the obtained corresponding data, and the category numbers corresponding to different data categories in the full data are different;
the category number B1 of each data in the total data, the value B2 corresponding to the corresponding data and the time B3 corresponding to the obtained corresponding data form an array, and the array is marked as [ B1, B2 and B3 ].
The method for comparing the total data of the PLC acquired by the industrial property gateway every time in the S2 with the data of the previous acquisition period in the memory comprises the following steps:
s2.1, acquiring total data of the PLC collected in the subsequent j-th time of the industrial Internet of things gateway, recording the total data as QLj, and recording a numerical value corresponding to the ith data in QLj as QLj i ；
S2.2, acquiring the total data of the PLC collected at the j-1 th time cached in the memory, and recording as QLj-1;
s2.3, judging that the i is different, judging whether a numerical value QLj corresponding to the i-th data in QLj exists in QLj-1 i The data of the same size is used as the data,
if QLj-1 does not have the value QLj corresponding to the ith data in QLj i Equal data, decision QLj i Belongs to variable data;
if QLj-1 has a value of QLj corresponding to the ith data in QLj i Equal data, QLj-1 will have the value QLj corresponding to the ith data in QLj i The corresponding arrays of equal data are collected into a blank set to obtain QLj i Corresponding first data set, compare QLj i Each element in the corresponding first data set corresponds to QLj i The relationship between the corresponding arrays of data,
when QLj i The corresponding array belongs to QLj i Corresponding first data set, then decision QLj is made i Do not belong to variable data;
when QLj i Corresponding arrays not belonging to QLj i Corresponding first data set, then decision QLj is made i Belongs to variable data;
the method for encapsulating the changed value comprises the following steps:
s2-1, obtaining QLj an array corresponding to each data of the variable data and a third numerical value in each array;
s2-2, comparing the maximum value of the third values respectively corresponding to each array, and marking as B3zj, wherein the B3zj represents the acquisition time in the corresponding variable data and is used as the reporting time of the variable data;
s2-3, obtaining data-encapsulated variable data { Cj, B3zj }, wherein Cj represents a set formed by corresponding arrays of each data belonging to the variable data in QLj.
The method for analyzing the reported data at the interval time in S3 includes the following steps:
s3.1, acquiring each variable data reported by the industrial Internet of things gateway after the last report of the full data, calculating the time interval between two adjacent reports of the data, wherein the reported data of the industrial Internet of things gateway comprises the full data and the variable data, the reporting time corresponding to the full data is the maximum value of the third numerical value in each corresponding array of the data in the full data, recording the total times of reporting the data by the industrial Internet of things gateway from the last report of the full data as n,
recording the time interval between the reporting time of the data reported by the nth industrial IOT gateway and the reporting time of the data reported by the (n-1) th industrial IOT gateway as X n-1 And n is more than or equal to 2, as shown in FIG. 3;
s3.2 principle based on LSTM network, as shown in FIG. 4, X 1 To X n-1 The state of association of is C 1 To C n-1 The relevance state represents whether to trigger the reporting of the full data or not, and the relevance state data is obtained through a database;
s3.3, calculating X n C corresponding to different values n Value of X n And C n As multidimensional data H n Means that the backward time sequence information H is determined by inputting the forward time sequence information n 、X n And C n Output of (2), X n Representing the time interval between the last variable data report and the full data report, C n Indicating the last time the state of association was indicated,
C n =σ(W f *[H n-1 , X n ]+b f )*C t-1 +σ(W i *[H n-1 , X n ]+b i )*tanh(W c *[H n-1 , X n ]+b c )，
H n =σ(W o *[H n-1 , X n ]+b o )*tanh(C n )，
where σ denotes sigmoid activation function, [ H ] n-1 , X n ]Represents H n-1 And X n Tan h represents hyperbolic positiveTangent function, W f Is a first weight value, W i Is a second weight value, W c Is a third weight value, W o Is a fourth weight value, b f Is a first bias term, b i Is a second bias term, b c Is a third bias term, b o Is a fourth bias term, W f 、W i 、W c 、W o 、b f 、b i 、b c And b o Obtaining through a database;
s3.4, recording the time interval between the next triggering and reporting of the total data by the industrial IoT gateway and the last reporting of the total data by the industrial IoT gateway as QT, judging the time interval between the next triggering and reporting of the total data by the industrial IoT gateway and the last reporting of the data by the industrial IoT gateway,
when the variable data is not reported after the industrial IoT gateway reports the full data for the last time, comparing the QT with the first unit time T2,
if QT is less than the first unit time T2, the PLC data applied by the upper layer service is judged to be matched with the data of the actual PLC, the industrial Internet of things gateway does not trigger the report of the full data,
if QT is greater than or equal to first unit time T2, judging that the PLC data applied by the upper layer service is not matched with the data of the actual PLC, and T = QT;
when n is more than or equal to 2,
Figure 269560DEST_PATH_IMAGE002
wherein, X k The time interval between the reporting time of the data reported by the kth industrial Internet of things gateway and the reporting time of the data reported by the kth-1 industrial Internet of things gateway is represented,
if QT is less than the first unit time T2 and C n If the value is less than a second preset value, analyzing the reported data from the reported data content, and judging whether the industrial Internet of things gateway triggers the reporting of the full data, wherein the second preset value is a constant preset in the database,
if QT is less than the first unit time T2 and C n Is greater than or equal toIf the two preset values are not matched, the PLC data applied by the upper layer service is judged to be not matched with the actual PLC data, and T = { X = n Min, the { X } n Min means QT is less than the first unit time T2 and C n X corresponding to the situation that the X is larger than or equal to the second preset value n Minimum value of (1);
if QT is greater than or equal to the first unit time T2, the PLC data applied by the upper layer service is judged not to match the data of the actual PLC,
Figure 232836DEST_PATH_IMAGE003
。
the method for analyzing the reported data from the reported data content in S3 includes the following steps:
s3-1, acquiring variable data reported each time after the industrial Internet of things gateway reports the full data from the last time;
s3-2, counting the number of data corresponding to the same category number in the variable data reported each time and the corresponding numerical value of the corresponding data, calculating the comprehensive deviation value PCZ corresponding to the variable data reported each time,
Figure DEST_PATH_IMAGE007
wherein r1 represents the number of category numbers in the variable data, Mr represents the average value of each data corresponding to the r-th category number in the variable data, M1r represents the average value of each data corresponding to the r-th category number in the total data currently cached in the memory of the industrial internet of things gateway, gr represents the number of data corresponding to the r-th category number in the variable data, and g1r represents the number of data corresponding to the r-th category number in the total data currently cached in the memory of the industrial internet of things gateway;
in this example, M1r does not have a value equal to 0 and gr + g1r does not have a value equal to zero.
S3-3, acquiring a comprehensive deviation value PCZ corresponding to variable data reported each time after the industrial Internet of things gateway reports the full data from the last time, recording the comprehensive deviation value corresponding to the variable data of the nth time as PCZn, recording the time interval between the reporting time of the variable data of the nth time and the reporting time of the full data of the last time as TGn, fitting the function relation between the PCZn and the TGn according to a linear regression model preset in a database, recording the function of the PCZn after fitting along with the change of the TGn as F (TGn), wherein the linear regression model preset in the database is a linear function model;
s3-4, when the result of F (TGn) calculation is a third preset value, the value of the corresponding TGn is recorded as TGL, and the third preset value is a preset constant in the database;
s3-5, judging TGL and
Figure 139744DEST_PATH_IMAGE006
the size of the gap between the two electrodes,
when TGL is greater than
Figure 202378DEST_PATH_IMAGE006
If so, judging that the PLC data applied by the upper layer service is matched with the data of the actual PLC, and not triggering the report of the full data by the industrial Internet of things gateway;
when TGL is less than or equal to
Figure 607951DEST_PATH_IMAGE006
And judging that the PLC data applied by the upper layer service is not matched with the actual PLC data, and immediately triggering the report of the full data by the industrial Internet of things gateway.
The method for calibrating the total data cached in the memory of the industrial internet of things gateway in the step S4 includes the following steps:
s4.1, acquiring the total data cached in the internal memory of the industrial Internet of things gateway at present;
s4.2, acquiring data reported last time by the industrial Internet of things gateway;
s4.3, if the data reported last time by the industrial Internet of things gateway is variable data, adding the variable data obtained in the S4.2 into the full data obtained in the S4.1 to obtain a calibration result of the full data cached in the internal memory of the industrial Internet of things gateway, and calibrating the full data cached in the internal memory of the industrial Internet of things gateway once every time the industrial Internet of things gateway reports the data;
and if the data reported last time by the industrial internet of things gateway is the full data, replacing the full data cached in the S4.1 with the full data obtained in the S4.2 to obtain a calibration result of the full data cached in the memory of the industrial internet of things gateway.
A dynamic data processing system based on industrial equipment, the system comprising the following modules:
the cache module is used for acquiring the full data of the primary PLC when the industrial Internet of things gateway is started, forwarding upper-layer service application and caching the full data in a memory of the industrial Internet of things gateway;
the data acquisition and processing module is used for controlling the industrial Internet of things gateway to acquire the full data of the PLC once and comparing the full data with the data of the last acquisition period in the memory, the industrial Internet of things gateway acquires the full data of the PLC once every other first unit time T2, and the first unit time T2 is a preset constant in the database;
the data matching judgment module analyzes the reported data from the reported data content and the interval time, judges whether the PLC data applied by the upper layer service is matched with the data of the actual PLC, and determines the time for reporting the full data next time;
and the cache data calibration module is used for calibrating the total data cached in the memory of the industrial Internet of things gateway by adopting a dynamic mode of reporting the total data of the PLC.
The data acquisition processing module controls the industrial Internet of things gateway to acquire the full data of the PLC once and compare the full data with the data of the previous acquisition period in the memory,
if part of data of the PLC changes, only the changed value is subjected to data encapsulation and forwarded to an upper gateway;
if the data of the PLC are not changed, the industrial Internet of things gateway does not forward or report the data, and the reported data are variable data.
In the process of calibrating the total data cached in the memory of the industrial Internet of things gateway by the cache data calibration module,
if the data reported last time by the industrial internet of things gateway is variable data, adding the variable data into the full data cached in the memory of the current industrial internet of things gateway to obtain a calibration result of the full data cached in the memory of the industrial internet of things gateway, and calibrating the full data cached in the memory of the industrial internet of things gateway once when the industrial internet of things gateway reports the data once;
and if the data reported last time by the industrial internet of things gateway is the full data, replacing the full data cached in the memory of the current industrial internet of things gateway with the full data to obtain the calibration result of the full data cached in the memory of the industrial internet of things gateway.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (2)

1. A dynamic data processing method based on industrial equipment, which is characterized in that the industrial equipment is equipment based on PLC control, and the method comprises the following steps:
s1, when the industrial Internet of things gateway is started, acquiring the full data of the primary PLC, forwarding the upper-layer service application, and caching the full data in the memory of the industrial Internet of things gateway;
s2, comparing the total data of the PLC collected by the industrial internet of things gateway every time and the data of the last collection period in the memory, collecting the total data of the PLC by the industrial internet of things gateway every a first unit time T2, wherein the first unit time T2 is a preset constant in the database,
if part of data of the PLC changes, only the changed value is subjected to data encapsulation and forwarded to upper-layer service application;
if the data of the PLC are not changed, the industrial Internet of things gateway does not forward or report the data, and the reported data are variable data;
s3, analyzing the reported data according to the reported data content and the interval time, judging whether the PLC data applied by the upper layer service is matched with the actual PLC data, and determining the time for reporting the full data next time;
s4, calibrating the total data cached in the internal memory of the industrial Internet of things gateway by adopting a dynamic PLC total data reporting mode;
the full data of the PLC in the S1 comprises a category number of each data in the full data, a numerical value corresponding to the corresponding data and time corresponding to the obtained corresponding data, and the category numbers corresponding to different data categories in the full data are different;
the category number B1 of each data in the full data, the numerical value B2 corresponding to the corresponding data and the time B3 corresponding to the obtained corresponding data form an array, and the array is marked as [ B1, B2 and B3 ];
the method for comparing the total data of the PLC acquired by the industrial property gateway every time in the S2 with the data of the previous acquisition period in the memory comprises the following steps:
s2.1, acquiring total data of the PLC collected in the subsequent j-th time of the industrial Internet of things gateway, recording the total data as QLj, and recording a numerical value corresponding to the ith data in QLj as QLj i ；
S2.2, acquiring the total data of the PLC collected at the j-1 th time cached in the memory, and recording as QLj-1;
s2.3, judging that i is different, judging whether a numerical value QLj corresponding to the ith data in QLj exists in QLj-1 or not i The data of the same size is used as the data,
if QLj-1 does not have the value QLj corresponding to the ith data in QLj i Equal data, decision QLj i Belongs to variable data;
if QLj-1 has a value of QLj corresponding to the ith data in QLj i Equal data, QLj-1 will have the value QLj corresponding to the ith data in QLj i The corresponding arrays of equal data are collected into a blank set to obtain QLj i Corresponding first data set, compare QLj i Each element in the corresponding first data set corresponds to QLj i The relationship between the corresponding arrays of data,
when QLj i The corresponding array belongs to QLj i Corresponding first data set, then decision QLj is made i Not to variable data;
when QLj i Corresponding arrays not belonging to QLj i Corresponding first data set, then a decision QLj is made i Belongs to variable data;
the method for encapsulating the changed value comprises the following steps:
s2-1, obtaining QLj an array corresponding to each data of the variable data and a third numerical value in each array;
s2-2, comparing the maximum value of the third values respectively corresponding to each array, and marking as B3zj, wherein the B3zj represents the acquisition time in the corresponding variable data and is used as the reporting time of the variable data;
s2-3, obtaining variable data { Cj, B3zj } after data encapsulation, wherein Cj represents a set formed by corresponding arrays of each data belonging to the variable data in QLj;
the method for analyzing the reported data at the interval time in S3 includes the following steps:
s3.1, acquiring each variable data reported by the industrial Internet of things gateway after the last report of the full data, calculating the time interval between two adjacent reports of the data, wherein the reported data of the industrial Internet of things gateway comprises the full data and the variable data, the reporting time corresponding to the full data is the maximum value of the third numerical value in each corresponding array of the data in the full data, recording the total times of reporting the data by the industrial Internet of things gateway from the last report of the full data as n,
recording the time interval between the reporting time of the data reported by the nth industrial IOT gateway and the reporting time of the data reported by the (n-1) th industrial IOT gateway as X n-1 And n is more than or equal to 2;
s3.2 principle based on LSTM network, X 1 To X n-1 The state of association of is C 1 To C n-1 The relevance state represents whether to trigger the reporting of the full data or not, and the relevance state data is obtained through a database;
s3.3, calculating X n C corresponding to different values n Value of X n And C n As multidimensional data H n Means that the backward time sequence information H is determined by inputting the forward time sequence information n 、X n And C n Output of (2), X n Representing the time interval between the last variable data report and the full data report, C n Indicating the last time the state of association was indicated,
C n =σ(W f *[H n-1 , X n ]+b f )*C t-1 +σ(W i *[H n-1 , X n ]+b i )*tanh(W c *[H n-1 , X n ]+b c )，
H n =σ(W o *[H n-1 , X n ]+b o )*tanh(C n )，
wherein σ represents sigmoid activation function, [ H ] n-1 , X n ]Represents H n-1 And X n Tan h represents a hyperbolic tangent function, W f Is a first weight value, W i Is a second weight value, W c Is a third weight value, W o Is a fourth weight value, b f Is a first bias term, b i Is a second bias term, b c Is a third bias term, b o Is a fourth bias term, W f 、W i 、W c 、W o 、b f 、b i 、b c And b o Obtaining through a database;
s3.4, recording the time interval between the next triggering and reporting of the total data by the industrial IoT gateway and the last reporting of the total data by the industrial IoT gateway as QT, judging the time interval between the next triggering and reporting of the total data by the industrial IoT gateway and the last reporting of the data by the industrial IoT gateway,
when the variable data is not reported after the industrial IoT gateway reports the full data for the last time, comparing the QT with the first unit time T2,
if QT is less than the first unit time T2, the PLC data applied by the upper layer service is judged to be matched with the data of the actual PLC, the industrial Internet of things gateway does not trigger the report of the full data,
if QT is greater than or equal to first unit time T2, judging that the PLC data applied by the upper layer service is not matched with the data of the actual PLC, and T = QT;
when n is more than or equal to 2,
Figure 17576DEST_PATH_IMAGE002
wherein, X k The time interval between the reporting time of the data reported by the kth industrial Internet of things gateway and the reporting time of the data reported by the kth-1 industrial Internet of things gateway is represented,
if QT is less than the first unit time T2 and C n If the value is less than a second preset value, analyzing the reported data from the reported data content, and judging whether the industrial Internet of things gateway triggers the reporting of the full data, wherein the second preset value is a constant preset in the database,
if QT is less than the first unit time T2 and C n If the value is greater than or equal to the second preset value, the PLC data applied by the upper layer service is judged not to be matched with the actual PLC data, and T = { X = X n Min, the { X } n Min means QT is less than the first unit time T2 and C n X corresponding to the situation that the X is larger than or equal to the second preset value n Minimum of (1)A value;
if QT is greater than or equal to the first unit time T2, judging that the PLC data applied by the upper layer service is not matched with the data of the actual PLC
Figure DEST_PATH_IMAGE003
；
The method for analyzing the reported data from the reported data content in S3 includes the following steps:
s3-1, acquiring variable data reported each time after the industrial Internet of things gateway reports the full data from the last time;
s3-2, counting the number of data corresponding to the same class number in the variable data reported each time and the corresponding numerical value of the corresponding data, calculating the comprehensive deviation value PCZ corresponding to the variable data reported each time,
Figure DEST_PATH_IMAGE005
wherein r1 represents the number of category numbers in the variable data, Mr represents the average value of each data corresponding to the r-th category number in the variable data, M1r represents the average value of each data corresponding to the r-th category number in the total data currently cached in the memory of the industrial internet of things gateway, gr represents the number of data corresponding to the r-th category number in the variable data, and g1r represents the number of data corresponding to the r-th category number in the total data currently cached in the memory of the industrial internet of things gateway;
s3-3, acquiring a comprehensive deviation value PCZ corresponding to variable data reported each time after the industrial Internet of things gateway reports the full data from the last time, recording a comprehensive deviation value corresponding to the variable data of the nth time as PCZn, recording a time interval between the reporting time of the variable data of the nth time and the reporting time of the full data of the last time as TGn, fitting a functional relation between the PCZn and the TGn according to a linear regression model preset in a database, recording a function of the PCZn after fitting along with the change of the TGn as F (TGn), wherein the linear regression model preset in the database is a linear function model;
s3-4, when the result of F (TGn) calculation is a third preset value, the value of the corresponding TGn is recorded as TGL, and the third preset value is a preset constant in the database;
s3-5, judging TGL and
Figure 402421DEST_PATH_IMAGE006
the size of the gap between the two electrodes,
when TGL is greater than
Figure 405144DEST_PATH_IMAGE006
If so, judging that the PLC data applied by the upper layer service is matched with the data of the actual PLC, and not triggering the report of the full data by the industrial Internet of things gateway;
when TGL is less than or equal to
Figure 367283DEST_PATH_IMAGE006
If so, judging that the PLC data applied by the upper layer service is not matched with the actual PLC data, and immediately triggering the report of the full data by the industrial Internet of things gateway;
the method for calibrating the total data cached in the memory of the industrial internet of things gateway in the step S4 includes the following steps:
s4.1, acquiring the total data cached in the internal memory of the industrial Internet of things gateway at present;
s4.2, acquiring data reported last time by the industrial Internet of things gateway;
s4.3, if the data reported last time by the industrial Internet of things gateway is variable data, adding the variable data obtained in the S4.2 into the full data obtained in the S4.1 to obtain a calibration result of the full data cached in the internal memory of the industrial Internet of things gateway, and calibrating the full data cached in the internal memory of the industrial Internet of things gateway once every time the industrial Internet of things gateway reports the data;
and if the data reported last time by the industrial internet of things gateway is the full data, replacing the full data cached in the S4.1 with the full data obtained in the S4.2 to obtain a calibration result of the full data cached in the memory of the industrial internet of things gateway.
2. The system for the dynamic data processing method based on the industrial equipment is applied to the system as claimed in claim 1, and is characterized by comprising the following modules:
the cache module is used for acquiring the full data of the primary PLC when the industrial Internet of things gateway is started, forwarding upper-layer service application and caching the full data in a memory of the industrial Internet of things gateway;
the data acquisition and processing module is used for controlling the industrial internet of things gateway to acquire the full data of the PLC once and comparing the full data with the data of the previous acquisition period in the memory, the industrial internet of things gateway acquires the full data of the PLC once every first unit time T2, and the first unit time T2 is a preset constant in the database;
the data matching judgment module analyzes the reported data from the reported data content and the interval time, judges whether the PLC data applied by the upper layer service is matched with the data of the actual PLC, and determines the time for reporting the full data next time;
the cache data calibration module is used for calibrating the total data cached in the memory of the industrial Internet of things gateway by adopting a dynamic mode of reporting the total data of the PLC;
the data acquisition processing module controls the industrial Internet of things gateway to acquire the full data of the PLC once and compare the full data with the data of the last acquisition period in the memory,
if part of data of the PLC changes, only the changed value is subjected to data encapsulation and forwarded to upper-layer service application;
if the data of the PLC are not changed, the industrial Internet of things gateway does not forward or report the data, and the reported data are variable data;
in the process of calibrating the total data cached in the memory of the industrial Internet of things gateway by the cache data calibration module,
if the data reported last time by the industrial internet of things gateway is variable data, adding the variable data into the full data cached in the memory of the current industrial internet of things gateway to obtain a calibration result of the full data cached in the memory of the industrial internet of things gateway, and calibrating the full data cached in the memory of the industrial internet of things gateway once when the industrial internet of things gateway reports the data once;
and if the data reported last time by the industrial Internet of things gateway is the full data, replacing the full data cached in the memory of the current industrial Internet of things gateway with the full data to obtain the calibration result of the full data cached in the memory of the industrial Internet of things gateway.
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