CN115640860B - Electromechanical equipment remote maintenance method and system for industrial cloud service - Google Patents
Electromechanical equipment remote maintenance method and system for industrial cloud service Download PDFInfo
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Abstract
The invention relates to the technical field of remote operation and maintenance, in particular to a method and a system for remotely maintaining electromechanical equipment of industrial cloud service.
Description
Technical Field
The invention relates to the technical field of remote operation and maintenance, in particular to a method and a system for remotely maintaining electromechanical equipment of industrial cloud service.
Background
The operation and maintenance of the electromechanical equipment become a difficult problem while the industrial electromechanical equipment is in a long-time operation state, the probability of failure is high and is difficult to predict, the equipment is distributed in different places, an alarm signal is triggered through the equipment, an engineer goes to the place where the electromechanical equipment is located to perform operation and maintenance, the failure region and the failure reason need to be judged on site, then the electromechanical equipment is operated and maintained, the operation and maintenance requirements on the engineer are high, the failure judgment needs to be performed repeatedly, the operation and maintenance time and difficulty are greatly increased, the accuracy of failure monitoring cannot be guaranteed through network monitoring in the prior art, the failure judgment in the prior art usually depends on monitoring to perform primary judgment on the external condition of the electromechanical equipment, manual failure analysis is performed on the site, the situation is low in judgment success rate, the engineer with many years of work experience has the capability of failure analysis, the requirement on workers is high, the operation and maintenance cost of the electromechanical equipment is greatly increased, meanwhile, the operation and maintenance of the electromechanical equipment is detained, and the operation and maintenance needs to perform remote operation and maintenance in half-time, and other remote operation and maintenance methods are needed.
Disclosure of Invention
In view of the limitations of the prior art methods, the present invention is directed to a method and a system for remote maintenance of an electromechanical device in an industrial cloud service, which solve one or more technical problems in the prior art and provide at least one useful choice or creation condition.
In order to achieve the above object, according to an aspect of the present invention, there is provided a method for remotely maintaining an electromechanical device of an industrial cloud service, the method including the steps of:
s100: collecting basic data of the electromechanical equipment during operation;
s200: automatically identifying and analyzing the basic data to obtain electromechanical equipment operation data;
s300: obtaining fault information of the electromechanical equipment through the electromechanical equipment operation data;
s400: and constructing a matrix by using the electromechanical equipment operation position data, and obtaining the optimal maintenance distance through the matrix.
Further, in step S100, the electromechanical device is monitored during operation, and basic data of the electromechanical device is obtained, where the basic data of the electromechanical device during operation includes: the current value of the electromechanical device, the working temperature value of the electromechanical device and the position data of the electromechanical device are collected and stored in the memory, and the data in the memory are transmitted to the cloud end through network interaction.
Preferably, the electromechanical device is referred to as an industrial electromechanical device, comprising: automatic production line, industrial robot, automatic motor and kiln etc..
Preferably, the sensor that monitors and acquire data includes visual sensor, ampere meter and temperature sensor, visual sensor is industry linear array camera CCD, acquires the outside running state of electromechanical device to in the data storage memory that will collect the acquisition, and will data transmission in the high in the clouds, the operation and maintenance engineer of being convenient for looks over monitoring data.
Further, in the step S200, the collected basic data of the electromechanical device during operation is calculated and analyzed, and the instantaneous value of the collected current value is I i And constructing a set I, I = [ I ] from instantaneous values of the collected current values 1 ，I 2 ，I 3 ，……I n ]N is the total number of the current values obtained at the current moment, and the instantaneous value I of the current values i Obtaining the effective current value effec for the ith element in the set I through calculation i ，
And the time when the effective current value is obtained is recorded.
Further, in step S300, obtaining fault information of the electromechanical device according to a current value and a temperature value of the electromechanical device, and performing fault judgment on the electromechanical device according to the fault information, where a specific method for performing fault judgment on the electromechanical device is as follows:
s301: collecting temperature values of the electromechanical equipment when the electromechanical equipment runs, and constructing a temperature value sequence [ temp ] with a time sequence from the temperature values]Calculating the difference value of the temperature parameters of the adjacent acquisition points in the temperature value sequence to obtain the minimum temperature variationChemical value sequence [ mintemp. ]]，mintemp i ＝|temp i -temp i-1 I is a temperature value sequence [ temp ]]And a sequence of minimum change values of temperature [ mintemp ]]The ith bit value of [ c ], the sequence of temperature values [ temp ]]The total number of the numerical values and the total number of the current values obtained at the current moment are both n, and the temperature minimum change value sequence [ mintemp ]]The total number of the values is n-1, and a temperature value sequence (temp) is obtained]Average value of avg ([ temp ])]) And the value of the temperature value sequence and the temperature value sequence (temp)]Average value of avg ([ temp ])]) Calculating the difference value to obtain a temperature fluctuation value sequence [ flutemp ]]，flutemp i ＝|temp i -avg([temp]) L, the temperature fluctuation value sequence [ flutemp ]]The total number of (2) is n;
s302: for the temperature minimum variation value sequence [ mintemp ]]With a temperature fluctuation value sequence [ flutemp ]]Calculating the difference value of corresponding elements at the same time, and calculating the temperature fluctuation value sequence [ flutemp]From flutemp 2 Starting to calculate the difference value to obtain the sequence of the change proportion [ chantemp ]]，chantemp i ＝mintemp i -flutemp i+1 For the variable ratio sequence [ chantemp. ]]Make a judgment if chantemp i If > 0, the chantemp is set i Adding highly fluctuating sequences]If chantemp. is i If the value is less than or equal to 0, the chantemp is set i Addition of Low fluctuation sequence (volal)]Standardizing the high fluctuation sequence and the low fluctuation sequence, and primarily judging the fault of the electromechanical equipment through temperature analysis;
s303: judging the effective current value when the electromechanical equipment runs, acquiring the effective current value in real time, constructing an effective current value sequence [ effec ], performing combination analysis on the effective current value in combination with the temperature value acquired at the same acquisition time, calculating the influence of the temperature value on the effective current value,
calculating the minimum value of the influence of the temperature value on the effective current value as minimap, wherein the calculation method comprises the following steps:
calculating the maximum value of the influence of the temperature value on the effective current value as maximpact, wherein the calculation method comprises the following steps:
ln () is a logarithmic function based on a natural number e, said effec i Is the sequence [ effec]The ith value of (1), the max [ volal]Is a low fluctuation sequence [ volal]Maximum of (1), min [ volal]Is a low fluctuation sequence [ volal]Minimum of (1), the mean [ volal ]]Is a low fluctuation sequence [ volal]Average value of (1), said max [ volah]Is a high fluctuation sequence [ volah]Min [ volah ] of]Is a high fluctuation sequence (volah)]Minimum value of (1), said mean [ volah ]]Is a high fluctuation sequence (volah)]Average value of (1), min (effec) i ) Is the sequence [ effec]Minimum of, said max (effec) i ) Is the sequence [ effec]Maximum value of (2);
s304: for the sequence [ effec]In the interval [ minimpact, maximpact]Screening the numerical values, and constructing an abnormal current sequence [ abn ] according to the screened numerical values in a large-to-small sequence]By applying an abnormal current sequence [ abn ]]Value and sequence of [ effec ]]Mean value of (1) [ effec]) By comparison, if abn l -mean([effec]) When the current is more than or equal to 0, the electromechanical equipment is still in a normal operation state, and if abn is more than or equal to 0 l -mean([effec]) If < 0, go to S305, the abn l Is a sequence [ abn]The first-bit element of (1);
s305: to the sequence [ abn]Reordering the sequence [ abn ]]The values of (A) are arranged from large to small to obtain a sequence [ Q ]]And to said sequence [ Q ]]The quantity of the element(s) is counted to obtain the quantity L, and the weight proportion r of the temperature value influencing the current is obtained through calculation k ，
Said Q K And Q K+1 Are all sequence [ Q]The elements in (1) are respectively a sequence [ Q ]]The k-th element and the (k + 1) -th element, calculating the index weight according to the given r k Assigning to obtain the temperature value pairWeight value X of current value influence on fault information e ，/>
Further, real-time images of the operation of the electromechanical equipment are obtained through a visual sensor, the fault information is judged through the combination of the images and a web crawler technology, the images collected at each moment are subjected to fault judgment, the value is 1 if the fault occurs, the value is 0 if the fault does not occur, the effective current value of the electromechanical equipment at the current moment is obtained, and a prediction matrix M is constructed through the effective current value of the electromechanical equipment and the fault judgment, wherein the prediction matrix M = [ M ] M ij ]M is said ij The method comprises the steps of expressing element values of an ith row and a jth column in a prediction matrix, expressing a detected effective current value by the row of the prediction matrix, and monitoring the same temperature value at a monitoring interval, so that the total number of the rows of the prediction matrix is n, and the column represents a judgment value for judging whether a fault occurs in the prediction matrix, inputting the prediction matrix M into a convolutional neural network model, deeply learning the model, when a remote operation and maintenance system of the electromechanical equipment is operated, when new fault information of the electromechanical equipment is obtained, the system performs incremental learning, finally outputting the prediction matrix, and obtaining a weight value Y of fault information of the image equipment by calculation e ，
M is ij For the element values of the ith row and the jth column of the prediction matrix, p is the total number of the prediction matrix, ln () is a logarithmic function, and finally, the weight value X is used e And weight value Y e The comprehensive weight value is obtained through calculation,
by pairsWeighted value X e And weight value Y e Carrying out variance calculation to obtain a comprehensive weight value minF (Z) of a corresponding proportion, wherein min () is a function for solving a minimum value, F (Z) is a function for solving the comprehensive weight value, when F (Z) reaches the minimum value, the error of the solved weight value reaches the minimum value, and Z in the formula at the moment i Namely the weight value of each moment of the electromechanical equipment, the weight value Z is calculated i Constructing the weight matrix Z into a comprehensive weight matrix Z = (Z) 1 ，z 2 ，…,z n ) T Finally, the fault information of the electromechanical equipment is judged through the comprehensive weight matrix Z and the matrix M:
and when the numerical value calculated by W is used for acquiring the fault information of the electromechanical equipment and performing operation and maintenance, and when W =0, the electromechanical equipment does not have fault.
Further, in step S400, coordinate points of the mechatronic device are determined according to the position of the mechatronic device in the operation data of the mechatronic device, the coordinate points are constructed into a matrix, the optimal operation and maintenance distance of the mechatronic device is determined according to the matrix, and the coordinate point of the mechatronic device with the fault is defined as a point p (x) p ，y p ) Determining a coordinate point q (x) of the position of the primary equipment on the electromechanical equipment through the point p q ，y q ) And a coordinate point O (x) of the position of the next level of equipment of the electromechanical equipment o ，y o ) The method comprises the steps that the previous-stage equipment is raw material supply equipment of the electromechanical equipment with the fault, the next-stage equipment is processing equipment of the output quantity of the electromechanical equipment with the fault, coordinate point positions of the relevant electromechanical equipment are calculated to obtain the shortest route distance and the Euclidean distance, the optimal operation and maintenance path is obtained according to the proportion of the Euclidean distance to the route distance, and the electromechanical equipment is operated and maintained through the path.
An electromechanical device remote maintenance system of an industrial cloud service, the system comprising: the remote maintenance method comprises a temperature sensor, a visual sensor, a processor, a memory and an alarm system, wherein data acquired by the temperature sensor, the visual sensor and the processor can be stored in the memory, the temperature sensor, the visual sensor, the processor, the memory and the alarm system can run a computer program on the processor, and the processor can realize the steps of the remote maintenance method for the electromechanical equipment of the industrial cloud service when executing the computer program.
Each device in the electromechanical equipment remote maintenance system of the industrial cloud service has the following functions:
a temperature sensor: acquiring heat generated by the electromechanical equipment when the electromechanical equipment runs;
a visual sensor: acquiring the working state of the electromechanical equipment during operation;
a processor: acquiring a time value and the like of data by acquiring a temperature value of the electromechanical device acquired from the electromechanical device, and performing data processing on the data;
a memory: performing data storage and data extraction on the processed data;
an alarm system: when the electromechanical equipment is abnormal, an alarm is sent to inform operation and maintenance personnel to maintain;
the invention has the beneficial effects that: the method comprises the steps of obtaining a temperature value and an effective current value of the electromechanical equipment, obtaining a weight analysis proportion of the temperature value influencing the current value through calculation to obtain fault information of the electromechanical equipment, judging the fault information of the electromechanical equipment by combining a visual sensor to obtain more accurate analysis of the fault information of the electromechanical equipment, greatly reducing the workload of operation and maintenance personnel, and simultaneously greatly reducing the workload of the operation and maintenance personnel for back and forth operation and maintenance through the associated planning path of a working room of the electromechanical equipment.
Drawings
The above and other features of the present invention will become more apparent by describing in detail embodiments thereof with reference to the attached drawings in which like reference numerals designate the same or similar elements, it being apparent that the drawings in the following description are merely exemplary of the present invention and other drawings can be obtained by those skilled in the art without inventive effort, wherein:
FIG. 1 is a flow diagram illustrating a method for remote maintenance of mechatronic devices for industrial cloud services;
FIG. 2 is a flow chart illustrating the operation and maintenance of a remote maintenance system for electromechanical devices of an industrial cloud service;
fig. 3 is a flow chart illustrating a structure of a remote maintenance system for electromechanical devices of an industrial cloud service.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
As shown in fig. 1, a method for remote maintenance of an electromechanical device of an industrial cloud service is provided, the method comprising the following steps:
s100: collecting basic data of the electromechanical equipment during operation;
s200: automatically identifying and analyzing the basic data to obtain electromechanical equipment operation data;
s300: obtaining the fault information of the electromechanical equipment through the electromechanical equipment operation data;
s400: and constructing a matrix by using the electromechanical equipment operation position data, and obtaining the optimal maintenance distance through the matrix.
Further, in step S100, the electromechanical device monitors the electromechanical device during operation, and obtains basic data of the electromechanical device, where the basic data of the electromechanical device during operation includes: the current value of the electromechanical device, the working temperature value of the electromechanical device and the position data of the electromechanical device are collected and stored in the memory, and the data in the memory are transmitted to the cloud end through network interaction.
Preferably, the electromechanical device is referred to as an industrial electromechanical device, comprising: automatic production line, industrial robot, automatic motor and kiln etc..
Preferably, the sensor that monitors and acquire data includes visual sensor, ampere meter and temperature sensor, visual sensor is industry linear array camera CCD, acquires the outside running state of electromechanical device to in the data storage memory that will collect the acquisition, and will data transmission in the high in the clouds, the operation and maintenance engineer of being convenient for looks over monitoring data.
Further, in the step S200, the collected basic data of the electromechanical device during operation is calculated and analyzed, and the instantaneous value of the collected current value is I i And constructing a set I, I = [ I ] from instantaneous values of the collected current values 1 ，I 2 ，I 3 ，……I n ]N is the total number of the current values obtained at the current moment, and the instantaneous value I of the current values i Calculating to obtain an effective current value effec for the ith element in the set I i ，
And the time when the effective current value was obtained was recorded.
Further, in step S300, obtaining fault information of the electromechanical device according to a current value and a temperature value of the electromechanical device, and performing fault judgment on the electromechanical device according to the fault information, where a specific method for performing fault judgment on the electromechanical device is as follows:
s301: collecting temperature values of the electromechanical equipment when the electromechanical equipment runs, and constructing a temperature value sequence [ temp ] with a time sequence from the temperature values]Temperature parameters of adjacent acquisition points in the sequence of temperature valuesCalculating the difference value to obtain the minimum temperature variation value sequence [ mintemp ]]，mintemp i ＝|temp i -temp i-1 I is a temperature value sequence [ temp ]]And a sequence of minimum change values of temperature [ mintemp ]]The ith bit value of [ c ], the sequence of temperature values [ temp ]]The total number of the numerical values and the total number of the current values obtained at the current moment are both n, and the temperature minimum change value sequence [ mintemp ]]The total number of the values is n-1, and a temperature value sequence (temp) is obtained]Average value of avg ([ temp ])]) And the value of the temperature value sequence and the temperature value sequence (temp)]Average value of avg ([ temp ])]) Calculating the difference value to obtain a temperature fluctuation value sequence [ flutemp ]]，flutemp i ＝|temp i -avg([temp]) L, the temperature fluctuation value sequence [ flutemp ]]The total number of (2) is n;
( The beneficial effect of obtaining the sequence [ flutemp ] of the temperature fluctuation value is as follows: the change of each moment of the temperature value is compared with the average value of the whole period, so that the intuitive temperature fluctuation change can be obtained, and the moment with large temperature fluctuation can be easily screened. )
S302: for the temperature minimum variation value sequence [ mintemp ]]With temperature fluctuation value sequence [ flutemp]Calculating the difference value of corresponding elements at the same time, and calculating the temperature fluctuation value sequence [ flutemp]From flutemp 2 Starting to calculate the difference value to obtain the sequence of the change proportion [ chantemp ]]，chantemp i ＝mintemp i -flutemp i+1 For the variable ratio sequence [ chantemp. ]]Make a judgment if chantemp i If > 0, the chantemp is set i Adding highly fluctuating sequences]If chantemp. is i If the value is less than or equal to 0, the chantemp is set i Addition of Low fluctuation sequence (volal)]Standardizing the high fluctuation sequence and the low fluctuation sequence, and preliminarily judging the fault of the electromechanical equipment through temperature analysis;
s303: judging the effective current value when the electromechanical equipment runs, acquiring the effective current value in real time, constructing an effective current value sequence [ effec ], performing combination analysis on the effective current value in combination with the temperature value acquired at the same acquisition time, calculating the influence of the temperature value on the effective current value,
calculating the minimum value of the influence of the temperature value on the effective current value as miniimpact, wherein the calculation method comprises the following steps:
calculating the maximum value of the influence of the temperature value on the effective current value as maximpact, wherein the calculation method comprises the following steps:
ln () is a logarithmic function based on a natural number e, said effec i Is the sequence [ effec]The ith value of (1), the max [ volal]Is a low fluctuation sequence [ volal]Maximum of (1), min [ volal]Is a low fluctuation sequence [ volal]Minimum of (1), the mean [ volal ]]Is a low fluctuation sequence [ volal]Average value of (1), said max [ volah]Is a high fluctuation sequence (volah)]Min [ volah ] of]Is a high fluctuation sequence (volah)]Minimum value of (1), said mean [ volah ]]Is a high fluctuation sequence (volah)]Average value of (1), min (effec) i ) Is the sequence [ effec]Minimum value of, said max (effec) i ) Is the sequence [ effec]Maximum value of (2);
( The beneficial effects that the minimum value of the influence of the temperature value on the effective current value is minimap and the maximum value of the influence of the temperature value on the effective current value is maximpact are as follows: when the electromechanical device runs, a part of energy is converted into internal energy due to energy loss, the temperature of the electromechanical device rises, the normal running state of the electromechanical device is influenced by the temperature rise, and the interval of the temperature influencing the normal running of the electromechanical device can be judged by calculating the minimum value and the minimum value of the influence of the temperature value on the effective current value. )
S304: for the sequence [ effec]In the interval [ minimap, maximpact]Screening the numerical values, and constructing an abnormal current sequence [ abn ] according to the screened numerical values in a large-to-small sequence]By applying an abnormal current sequence [ abn ]]Value and sequence of [ effec ]]Mean value of ([ effec)]) By comparison, if abn l -mean([effec]) When the current is more than or equal to 0, the electromechanical equipment is still in a normal operation state, and if abn is more than or equal to 0 l -mean([effec]) If < 0, go to S305, the abn l Is a sequence [ abn]The first element in (1);
s305: to the sequence [ abn]Reordering the sequence [ abn ]]The values of (A) are arranged from large to small to obtain a sequence [ Q ]]And to said sequence [ Q ]]The quantity of the elements is counted to obtain the quantity L, and the weight proportion r of the temperature value influencing the current is obtained through calculation k ，
Said Q K And Q K+1 Are all sequences [ Q]The elements in (1) are respectively a sequence [ Q ]]The k-th element and the (k + 1) -th element, calculating the index weight according to the given r k Assignment is carried out, and the weight value X of the fault information caused by the influence of the temperature value on the current value can be obtained e ，/>
(obtaining weight value X of influence of temperature value on current value on fault information e Has the advantages that: weight value X obtained by calculation e When fault information is judged, the temperature value influences the current so as to influence the working efficiency of the electromechanical equipment, and the judgment of faults caused by the influence of the temperature value on the current value can be more accurate in subsequent comprehensive judgment. )
Further, real-time images of the operation of the electromechanical equipment are obtained through a vision sensor, the fault information is judged through the images and a web crawler technology, the images collected at each moment are subjected to fault judgment, the value is 1 if the fault occurs, the value is 0 if the fault does not occur, the effective current value of the electromechanical equipment at the current moment is obtained, and a prediction matrix M is constructed through the effective current value of the electromechanical equipment and the fault judgment, wherein the prediction matrix M = [ M ] M ij ]M is said ij Expressed as the value of an element in the ith row and jth column of a prediction matrix whose rows represent the values of the detected effective currents, monitoringThe interval is the same as the monitored temperature value, so the total number of rows of the prediction matrix is n, columns represent a judgment value for judging whether a fault occurs in the prediction matrix, the prediction matrix M is input into the convolutional neural network model, deep learning is carried out on the model, when a remote operation and maintenance system of the electromechanical equipment is operated, the system carries out incremental learning whenever new fault information of the electromechanical equipment is obtained, finally the prediction matrix is output, and the weight value Y of the fault information of the image equipment is obtained through calculation e ，
M is ij Is the element value of the ith row and the jth column of the prediction matrix, p is the total number of the prediction matrix, ln () is a logarithmic function,
(obtaining weight value Y of image pair fault information e Has the beneficial effects that: the image is compared with the electromechanical equipment to judge faults, but the fault judgment is more intuitive, whether the electromechanical equipment fails or not is judged directly through the effective current value of the electromechanical equipment and the working state of the electromechanical equipment, a prediction matrix is constructed by the effective current value and the fault information of the electromechanical equipment, the prediction matrix is expressed as predicting the fault information of the electromechanical equipment, and the weight value Y obtained through the prediction result e The method is more reasonable. ) Finally passing the weight value X e And weight value Y e The comprehensive weight value is obtained through calculation,
by applying a weight value X e And weight value Y e Carrying out variance calculation to obtain a comprehensive weight value minF (Z) of a corresponding proportion, wherein min () is a function for solving a minimum value, F (Z) is a function for solving the comprehensive weight value, when F (Z) reaches the minimum value, the error of the solved weight value reaches the minimum value, and Z in the formula at the moment i Namely the weight value of each moment of the electromechanical equipment, the weight value Z is calculated i Constructing the weight matrix Z into a comprehensive weight matrix Z = (Z) 1 ，z 2 ，…,z n ) T Finally, the fault information of the electromechanical equipment is judged through the comprehensive weight matrix Z and the matrix M:
and when the numerical value calculated by W is used for acquiring the fault information of the electromechanical equipment and performing operation and maintenance, and when W =0, the electromechanical equipment does not have fault.
Further, in step S400, coordinate points of the mechatronic device are determined according to the position of the mechatronic device in the operation data of the mechatronic device, the coordinate points are constructed into a matrix, the optimal operation and maintenance distance of the mechatronic device is determined according to the matrix, and the coordinate point of the mechatronic device with the fault is defined as a point p (x) p ，y p ) Determining a coordinate point q (x) of the position of the primary equipment on the electromechanical equipment through the point p q ，y q ) And a coordinate point O (x) of the position of the next level of equipment of the electromechanical equipment o ，y o ) The method comprises the steps that the previous-stage equipment is raw material supply equipment of the electromechanical equipment with the fault, the next-stage equipment is processing equipment of the output quantity of the electromechanical equipment with the fault, coordinate point positions of the relevant electromechanical equipment are calculated to obtain the shortest route distance and the Euclidean distance, the optimal operation and maintenance path is obtained according to the proportion of the Euclidean distance to the route distance, and the electromechanical equipment is operated and maintained through the path.
An electromechanical device remote maintenance system of an industrial cloud service, the system comprising: the remote maintenance method comprises a temperature sensor, a visual sensor, a processor, a memory and an alarm system, wherein data acquired by the temperature sensor, the visual sensor and the processor can be stored in the memory, the temperature sensor, the visual sensor, the processor, the memory and the alarm system can run a computer program on the processor, and the processor can realize the steps of the remote maintenance method for the electromechanical equipment of the industrial cloud service when executing the computer program.
As shown in fig. 2, the operation and maintenance process is to measure the electromechanical device through the visual sensor, the ammeter and the temperature sensor, store the obtained numerical values, store the data to the cloud, and check the data for operation and maintenance personnel, the processor obtains the measured data from the memory, calculates the fault information of the electromechanical device, analyzes the data by combining the visual sensor to obtain more accurate fault information, and obtains an accurate operation and maintenance route through the position information of the electromechanical device, so that the operation and maintenance personnel can complete the operation and maintenance work of the electromechanical device more quickly without affecting the work process of the electromechanical device.
As shown in fig. 3, a mechatronic device remote maintenance system of an industrial cloud service is characterized in that the system comprises: the remote maintenance method comprises a temperature sensor, a visual sensor, a processor, a memory and an alarm system, wherein data acquired by the temperature sensor, the visual sensor and the processor can be stored in the memory, the temperature sensor, the visual sensor, the processor, the memory and the alarm system can run a computer program on the processor, and the processor can realize the steps of the remote maintenance method for the electromechanical equipment of the industrial cloud service when executing the computer program.
Each device in the electromechanical equipment remote maintenance system of the industrial cloud service has the following functions:
a temperature sensor: acquiring heat generated by the electromechanical equipment when the electromechanical equipment runs;
a visual sensor: acquiring the working state of the electromechanical equipment during operation;
a processor: acquiring a time value and the like of data by acquiring a temperature value of the electromechanical device acquired from the electromechanical device, and performing data processing on the data;
a memory: performing data storage and data extraction on the processed data;
an alarm system: when the electromechanical equipment is abnormal, an alarm is sent to inform operation and maintenance personnel to maintain;
the processor and the memory in the electromechanical equipment remote maintenance system of the industrial cloud service can be operated in desktop computers, notebooks, palm computers, mobile phones and other equipment. The electromechanical device remote maintenance system of the industrial cloud service comprises, but is not limited to, a temperature sensor, a visual sensor, a processor, a memory and an alarm system. Those skilled in the art will appreciate that the example is only a remote maintenance system for a mechatronic device of an industrial cloud service and does not constitute a limitation on the remote maintenance system for a mechatronic device of an industrial cloud service.
Although the description of the present invention has been presented in considerable detail and with reference to a few illustrated embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively encompass the intended scope of the invention. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
Claims (4)
1. A remote maintenance method for electromechanical equipment of industrial cloud service is characterized by comprising the following steps:
s100: collecting basic data of the electromechanical equipment during operation;
s200: automatically identifying and analyzing the basic data to obtain electromechanical equipment operation data;
s300: obtaining fault information of the electromechanical equipment through the electromechanical equipment operation data;
s400: constructing a matrix from the electromechanical device operation position data, and obtaining an optimal maintenance distance through the matrix;
in step S100, the electromechanical device monitors the electromechanical device during operation, and obtains basic data of the electromechanical device, where the basic data of the electromechanical device during operation includes: the current value of the electromechanical device, the working temperature value of the electromechanical device and the position data of the electromechanical device are collected and stored in a memory, and the data in the memory are transmitted to a cloud end through network interaction;
in step S300, the fault information of the electromechanical device is obtained according to the current value and the temperature value of the electromechanical device, and the fault of the electromechanical device is determined according to the fault information, where the specific method for determining the fault of the electromechanical device is as follows:
s301: collecting temperature values of the electromechanical equipment when the electromechanical equipment runs, and constructing a temperature value sequence [ temp ] with a time sequence from the temperature values]Calculating the difference of the temperature parameters of the adjacent acquisition points in the temperature value sequence to obtain a temperature minimum variation value sequence [ mintemp ]]，mintemp i ＝|temp i -temp i-1 I is a temperature value sequence [ temp ]]And a sequence of minimum change values of temperature [ mintemp ]]The ith bit value of [ c ], the sequence of temperature values [ temp ]]The total number of the numerical values and the total number of the current values obtained at the current moment are both n, and the temperature minimum change value sequence [ mintemp ]]The total number of the temperature values is n-1, and a temperature value sequence [ temp ] is obtained]Average value of avg ([ temp ])]) And the value of the temperature value sequence and the temperature value sequence (temp)]Average value of avg ([ temp ])]) Calculating the difference value to obtain a temperature fluctuation value sequence [ flutemp ]]，flutemp i ＝|temp i -avg([temp]) L, the temperature fluctuation value sequence [ flutemp ]]The total number of (2) is n;
s302: for the temperature minimum variation value sequence [ mintemp ]]With a temperature fluctuation value sequence [ flutemp ]]Calculating the difference value of corresponding elements at the same time, and calculating the temperature fluctuation value sequence [ flutemp]From flutemp 2 Starting to calculate the difference value to obtain the sequence of the change proportion [ chantemp ]]，chantemp i ＝mintemp i -flutemp i+1 For the variable ratio sequence [ chantemp. ]]Make a judgment if chantemp i If > 0, the chantemp is set i Adding highly fluctuating sequences]If chantemp. is i If the value is less than or equal to 0, the chantemp is set i Addition of Low fluctuation sequence (volal)]Standardizing the high fluctuation sequence and the low fluctuation sequence, and primarily judging the fault of the electromechanical equipment through temperature analysis;
s303: judging the effective current value when the electromechanical equipment runs, acquiring the effective current value in real time, constructing an effective current value sequence [ effec ], performing combination analysis on the effective current value in combination with the temperature value acquired at the same acquisition time, calculating the influence of the temperature value on the effective current value,
calculating the minimum value of the influence of the temperature value on the effective current value as minimap, wherein the calculation method comprises the following steps:
calculating the maximum value of the influence of the temperature value on the effective current value as maximpact, wherein the calculation method comprises the following steps:
ln () is a logarithmic function based on a natural number e, said effec i Is the sequence [ effec]The ith value of (1), the max [ volal]Is a low fluctuation sequence [ volal]Maximum of (1), min [ volal]Is a low fluctuation sequence [ volal]Minimum of (1), the mean [ volal ]]Is a low fluctuation sequence [ volal]Average value of (1), said max [ volah]Is a high fluctuation sequence (volah)]Min [ volah ] of]Is a high fluctuation sequence (volah)]Minimum value of (1), said mean [ volah ]]Is a high fluctuation sequence (volah)]Average value of (1), min (effec) i ) Is the sequence [ effec]Minimum value of, said max (effec) i ) Is the sequence [ effec]Maximum value of (1);
s304: for the sequence [ effec]In the interval [ minimap, maximpact]Screening the numerical values, and constructing an abnormal current sequence [ abn ] according to the screened numerical values in a large-to-small sequence]By applying an abnormal current sequence [ abn ]]Value and sequence of [ effec ]]Mean value of ([ effec)]) By comparison, if abn l -mean([effec]) When the current is more than or equal to 0, the electromechanical equipment is still in a normal operation state, and if abn is more than or equal to 0 l -mean([effec]) If < 0, go to S305, the abn l Is a sequence [ abn]The first-bit element of (1);
s305: to the sequence [ abn]Reordering the sequence [ abn ]]The values of (A) are arranged from large to small to obtain a sequence [ Q ]]And to said sequence [ Q ]]The quantity of the elements is counted to obtain the quantity L, and the weight proportion r of the temperature value influencing the current is obtained through calculation k ，
Said Q K And Q K+1 Are all sequence [ Q]The elements in (1) are respectively a sequence [ Q ]]The k-th element and the (k + 1) -th element, calculating the index weight according to the given r k Assignment is carried out, and the influence of the temperature value on the current value on the weight value of the fault information can be obtained>
The method comprises the steps of obtaining a running real-time image of the electromechanical equipment through a visual sensor, judging fault information through the image in combination with a web crawler technology, judging faults of the image collected at each moment, assigning a value of 1 if the fault occurs, assigning a value of 0 if the fault does not occur, obtaining an effective current value of the electromechanical equipment at the current moment, and constructing a prediction matrix M through the effective current value of the electromechanical equipment and the fault judgment, wherein the prediction matrix M = [ M ] M ij ]M is said ij The method comprises the steps of representing the element values of the ith row and the jth column in a prediction matrix, representing the effective current value detected by the rows of the prediction matrix, wherein the monitoring interval is equal to the monitoring temperature value, so that the total number of the rows of the prediction matrix is n, the columns represent judgment values for judging whether faults occur in the prediction matrix, inputting the prediction matrix M into a convolutional neural network model, deeply learning the model, when a remote operation and maintenance system of the electromechanical equipment is operated, obtaining new fault information of the electromechanical equipment each time, performing incremental learning by the system, finally outputting the prediction matrix, and obtaining a weight value Y of the fault information of the image equipment through calculation e ，
M is ij For the element values of the ith row and the jth column of the prediction matrix, p is the total number of the prediction matrix, ln () is a logarithmic function, and finally, the weight value X is used e And weight value Y e The comprehensive weight value is obtained through calculation,
((X e -Z i ) 2 +(Y e -Z i ) 2 )，
by applying a weight value X e And weight value Y e Carrying out variance calculation to obtain a comprehensive weight value minF (Z) of a corresponding proportion, wherein min () is a function for solving a minimum value, F (Z) is a function for solving the comprehensive weight value, when F (Z) reaches the minimum value, the error of the solved weight value reaches the minimum value, and Z in the formula at the moment i Namely the weight value of each moment of the electromechanical equipment, the weight value Z is calculated i Constructing the weight matrix Z into a comprehensive weight matrix Z = (Z) 1 ，z 2 ，…,z n ) T Finally, the fault information of the electromechanical equipment is judged through the comprehensive weight matrix Z and the matrix M:
and when the numerical value calculated by W is used for acquiring the fault information of the electromechanical equipment and performing operation and maintenance, and when W =0, the electromechanical equipment does not have fault.
2. The remote maintenance method for electromechanical device of industrial cloud service as claimed in claim 1, wherein in step S200, the collected basic data of electromechanical device in operation is calculated and analyzed, and the instantaneous value of the collected current value is I i And constructing a set I, I = [ I ] from instantaneous values of the collected current values 1 ，I 2 ，I 3 ，……I n ]N isObtaining the total number of current values at the current moment, the instantaneous value I of the current values i Calculating to obtain an effective current value effec for the ith element in the set I i ，
And the time when the effective current value was obtained was recorded.
3. The remote maintenance method for electromechanical device of industrial cloud service as claimed in claim 1, wherein in step S400, coordinate points of electromechanical device are determined according to electromechanical device location in operation data of electromechanical device, and the coordinate points are constructed into matrix, and the optimal operation and maintenance distance is determined according to the matrix, and the coordinate point of the failed electromechanical device is defined as point p (x) and p ，y p ) And determining a coordinate point q (x) of the position of the primary equipment on the electromechanical equipment through the point p q ，y q ) Coordinate point O (x) of position of next-level equipment of electromechanical equipment o ，y o ) The method comprises the steps that the previous-stage equipment is raw material supply equipment of the electromechanical equipment with the fault, the next-stage equipment is processing equipment of the output quantity of the electromechanical equipment with the fault, coordinate point positions of the relevant electromechanical equipment are calculated to obtain the shortest route distance and the Euclidean distance, the optimal operation and maintenance path is obtained according to the proportion of the Euclidean distance to the route distance, and the electromechanical equipment is operated and maintained through the path.
4. An electromechanical device remote maintenance system of an industrial cloud service, the system comprising: temperature sensor, visual sensor, processor, memory and alarm system, the data obtained by the temperature sensor, visual sensor, processor can be stored in the memory, the temperature sensor, visual sensor, processor, memory and alarm system can run a computer program on the processor, the processor when executing the computer program realizes the steps in the electromechanical device remote maintenance method of the industrial cloud service of any one of claims 1-3.
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Denomination of invention: A Remote Maintenance Method and System for Mechanical and Electrical Equipment in Industrial Cloud Services Granted publication date: 20230328 Pledgee: Development Zone sub branch of Bank of Guangzhou Co.,Ltd. Pledgor: Guangzhou Decheng Intelligent Technology Co.,Ltd. Registration number: Y2024980005304 |
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