CN117687394A - Solenoid valve island control signal verification method and system - Google Patents

Solenoid valve island control signal verification method and system Download PDF

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Publication number
CN117687394A
CN117687394A CN202410113967.4A CN202410113967A CN117687394A CN 117687394 A CN117687394 A CN 117687394A CN 202410113967 A CN202410113967 A CN 202410113967A CN 117687394 A CN117687394 A CN 117687394A
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electromagnetic valve
solenoid valve
action
fault
fault type
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CN117687394B (en
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杨林
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Nanjing Dekeweier Automation Co ltd
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Nanjing Dekeweier Automation Co ltd
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Abstract

The invention relates to the technical field of electrical integration, and discloses a solenoid valve island control signal verification method and a solenoid valve island control signal verification system, wherein the solenoid valve island control signal verification method comprises the steps of obtaining solenoid valve actual measurement action times and solenoid valve actual condition information, inputting the solenoid valve actual measurement action times and the solenoid valve actual condition information into a pre-constructed action time compensation model, obtaining solenoid valve correction action times output by the action time compensation model, judging whether the solenoid valve correction action times belong to an action time limiting section, judging whether the solenoid valve correction action times are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section if the solenoid valve correction action times do not belong to the action time limiting section, and verifying corresponding solenoid valve fault types according to the solenoid valve actual measurement action times and the solenoid valve actual condition information.

Description

Solenoid valve island control signal verification method and system
Technical Field
The invention relates to the technical field of electrical integration, in particular to a solenoid valve island control signal verification method and system.
Background
The data acquisition is an indispensable link in all industrial automation systems, the industrial automation depends on a data acquisition and monitoring System (SCADA), a remote I/O system which is responsible for the acquisition of data of a data sensor and an actuator is an important component part in an SCADA framework, supports the data processing and network communication functions, an electromagnetic valve is widely applied to the manufacturing industry as a pneumatic system control element, along with the improvement of the degree of automation, the number of the electromagnetic valves used in equipment is increased, a bus type valve island is formed by integrating an electromagnetic valve output module, a bus communication module and an input/output (I/O) clamping piece in a frame, the bus type valve island has the functions of network fault detection, subnet fault detection, self fault diagnosis and the like, and the traditional bus type valve island detects whether actual pressure output is used for diagnosis or not;
for example, patent application publication No. CN115899366a discloses a method, apparatus, device and storage medium for fault warning of a pressure control solenoid valve, where the above-mentioned patent performs subsequent warning work by collecting the number of actions of the solenoid valve and determining whether the number of actions exceeds the upper threshold limit of the number of historic actions in the historic database, and although the above-mentioned patent performs warning by collecting the number of actions of the solenoid valve, the following drawbacks still exist:
although the above-mentioned patent diagnoses through the action number of solenoid valve in the control signal, the solenoid valve has multiple fault types, and most common is solenoid valve short circuit, solenoid valve disconnection, solenoid valve power supply undervoltage and solenoid valve power supply overvoltage, and solenoid valve disconnection and solenoid valve power supply undervoltage can lead to the action number of times of solenoid valve to reduce, and on the contrary solenoid valve short circuit and solenoid valve power supply overvoltage can lead to the action number of times of solenoid valve to increase, and above-mentioned patent just can't carry out the check-up to corresponding solenoid valve fault type through the action number of times of solenoid valve, leads to unable accurate diagnosis work.
In view of the above, the present invention provides a solenoid valve island control signal verification method and system to solve the above-mentioned problems.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide a solenoid island control signal verification method and system.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the solenoid valve island control signal verification method comprises the following steps:
s10: obtaining electromagnetic valve actual measurement action times and electromagnetic valve live information, inputting the electromagnetic valve actual measurement action times and the electromagnetic valve live information into a pre-constructed action times compensation model, and obtaining electromagnetic valve correction action times output by the action times compensation model, wherein the electromagnetic valve live information comprises electromagnetic valve leakage rate and electromagnetic valve action rate;
s20: judging whether the correction action times of the electromagnetic valve belong to an action time limiting section, if not, judging whether the correction action times of the electromagnetic valve are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section, if so, switching to S30, and if so, switching to S40;
s30: generating a solenoid valve state coefficient based on solenoid valve correction action times and solenoid valve action rates, inputting the solenoid valve state coefficient into a pre-constructed fault classification model, acquiring a first fault type and turning to S50, wherein the first fault type comprises solenoid valve open circuit and solenoid valve power supply undervoltage;
s40: obtaining the electromagnetic valve actual measurement voltage, determining electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage, determining a second fault type based on the electromagnetic valve actual measurement voltage, and turning to S50, wherein the second fault type comprises electromagnetic valve short circuit and electromagnetic valve power supply overvoltage;
s50: the fault level is determined based on the first fault type or the second fault type, the fault level is displayed, and the fault level comprises the first fault level and the second fault level.
Further, the method of obtaining a test dataset comprises:
under a dynamic test environment, setting the air leakage rate of the electromagnetic valve as a reference value, dynamically changing the action rate of the electromagnetic valve to obtain first experimental data, repeating n times to obtain a first experimental data set, wherein n is a positive integer greater than 1;
setting the action rate of the electromagnetic valve as a reference value, dynamically changing the air leakage rate of the electromagnetic valve to obtain second experimental data, repeating n times to obtain a second experimental data set, wherein the first experimental data and the second experimental data comprise the air leakage rate of the electromagnetic valve, the action rate of the electromagnetic valve and action frequency difference values, and the action frequency difference values are the electromagnetic valve test action frequency minus the electromagnetic valve standard action frequency;
and regulating the reference value of the air leakage rate of the electromagnetic valve and the action rate of the electromagnetic valve to obtain a first experimental data set and a second experimental data set, fusing the first experimental data set and the second experimental data set to generate a test data set, wherein the first experimental data set consists of j first experimental data sets, the second experimental data set consists of j second experimental data sets, and j is a positive integer greater than 1.
Further, the action frequency compensation model is a mathematical model, and the method for training the action frequency compensation model based on the test data set comprises the following steps:
Mas=
wherein, mas is the correction action times of the electromagnetic valve,for the actual measurement of the action times of the electromagnetic valve, < >>For the difference of the number of actions, +.>And->Are all weight factors.
Further, the method for generating the solenoid state coefficient based on the solenoid correction action times and the solenoid action rate comprises the following steps:
in the method, in the process of the invention,is the state coefficient of the electromagnetic valve, ">Is electromagneticValve action rate, ++>For the number of corrective actions of the solenoid valve, +.>Is natural constant (18)>And->Are all weight factors.
Further, the training process of the fault classification model is as follows: the method comprises the steps of obtaining i groups of data, wherein i is a positive integer greater than or equal to 1, the data comprise a solenoid valve state coefficient and a first fault type, the solenoid valve state coefficient and the first fault type are used as sample sets, the sample sets are divided into training sets and test sets, a classifier is constructed, the solenoid valve state coefficient in the training sets is used as input data, the first fault type in the training sets is used as output data, the classifier is trained, an initial classifier is obtained, the test set is used for testing the initial classifier, and the classifier meeting the preset accuracy is output to serve as a fault classification model.
Further, the method for determining the electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage comprises the following steps:
acquiring first equipment information corresponding to the actual measurement action times of the electromagnetic valve and second equipment information corresponding to the actual measurement voltage of the electromagnetic valve, wherein the first equipment information is a counter serial number, and the second equipment information is an oscilloscope serial number;
acquiring entity information based on the first equipment information, the second equipment information and the pre-constructed knowledge graph, wherein the entity information is an electromagnetic valve serial number;
and acquiring electromagnetic valve position information according to the pre-constructed knowledge graph and entity information.
Further, the knowledge graph construction method comprises the following steps:
acquiring m groups of map data, wherein m is a positive integer greater than 1, and the map data comprises an electromagnetic valve serial number, first equipment information, second equipment information and electromagnetic valve position information;
using the electromagnetic valve serial number as an entity, and determining the entity relation between the electromagnetic valve serial number and the first equipment information, the second equipment information and the electromagnetic valve position information through an information extraction technology, wherein the information extraction technology comprises relation extraction, event extraction, template filling, semantic role marking and coreference resolution;
and constructing a knowledge graph based on the graph data and the entity relationship.
Further, the method for determining the second fault type based on the solenoid measured voltage comprises:
when the measured voltage of the electromagnetic valve is smaller than a preset voltage threshold value, the second fault type is electromagnetic valve short circuit;
and when the measured voltage of the electromagnetic valve is greater than or equal to a preset voltage threshold, the second fault type is the power supply overvoltage of the electromagnetic valve.
Further, the method of determining the fault level based on the first fault type or the second fault type comprises:
when the first fault type is that the electromagnetic valve is open, marking the first fault type as a first fault grade;
when the first fault type is the power supply undervoltage of the electromagnetic valve, marking the first fault type as a second fault level;
when the second fault type is short-circuited of the electromagnetic valve, marking the first fault type as a first fault level;
when the second fault type is solenoid valve supply overvoltage, the second fault type is marked as a second fault level.
The solenoid valve island control signal verification system is used for realizing the solenoid valve island control signal verification method and comprises the following steps:
and a data compensation module: obtaining electromagnetic valve actual measurement action times and electromagnetic valve live information, inputting the electromagnetic valve actual measurement action times and the electromagnetic valve live information into a pre-constructed action times compensation model, and obtaining electromagnetic valve correction action times output by the action times compensation model, wherein the electromagnetic valve live information comprises electromagnetic valve leakage rate and electromagnetic valve action rate;
and a judging module: judging whether the correction action times of the electromagnetic valve belong to an action time limiting section, if not, judging whether the correction action times of the electromagnetic valve are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section, if so, switching to a first type determining module, and if so, switching to a second type determining module;
a first type determination module: generating a solenoid valve state coefficient based on solenoid valve correction action times and solenoid valve action rates, inputting the solenoid valve state coefficient into a pre-constructed fault classification model, acquiring a first fault type and transferring the first fault type to a grade determining module, wherein the first fault type comprises solenoid valve open circuit and solenoid valve power supply undervoltage;
a second type determination module: obtaining the electromagnetic valve actual measurement voltage, determining electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage, determining a second fault type based on the electromagnetic valve actual measurement voltage, and converting the second fault type into a grade determining module, wherein the second fault type comprises electromagnetic valve short circuit and electromagnetic valve power supply overvoltage;
the grade determining module: the fault level is determined based on the first fault type or the second fault type, the fault level is displayed, and the fault level comprises the first fault level and the second fault level.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the solenoid island control signal verification method described above when executing the computer program.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the solenoid island control signal verification method described above.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, the actual measurement action times of the electromagnetic valve and the actual information of the electromagnetic valve can be used for verifying the corresponding fault type of the electromagnetic valve, so that the valve island can perform an accurate self-fault diagnosis function, the fault of the valve island can be rapidly solved, and the valve island is prevented from being damaged to a greater extent due to the fault;
(2) In the invention, no matter the solenoid valve is opened or the solenoid valve is short-circuited, the solenoid valve on the valve island is overheated or the current is abnormal, so that the solenoid valve is damaged, the normal operation of the valve island is affected, and the emergency repair is needed by staff, therefore, if the conditions of the solenoid valve opening, the solenoid valve power supply undervoltage and the like exist in the valve island, the staff can sequentially process according to the fault level, and the maximization of the working efficiency is ensured.
Drawings
FIG. 1 is a schematic diagram of a solenoid island control signal verification method in the present invention;
FIG. 2 is a schematic diagram of a solenoid island control signal verification system according to the present invention;
FIG. 3 is a schematic diagram of a knowledge graph in the present invention;
FIG. 4 is a schematic diagram of a computer readable storage medium according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the disclosure of the present embodiment provides a solenoid valve island control signal verification method, including:
s10: obtaining electromagnetic valve actual measurement action times and electromagnetic valve live information, inputting the electromagnetic valve actual measurement action times and the electromagnetic valve live information into a pre-constructed action times compensation model, and obtaining electromagnetic valve correction action times output by the action times compensation model, wherein the electromagnetic valve live information comprises electromagnetic valve leakage rate and electromagnetic valve action rate;
the actual measurement operation times of the electromagnetic valve refer to the back and forth movement times of an internal valve core of the electromagnetic valve in a working state, the actual measurement operation times of the electromagnetic valve can be communicated with the electromagnetic valve in real time through a counter arranged in an electromagnetic valve island, so that the actual measurement operation times of the electromagnetic valve can be obtained in real time, the air leakage rate of the electromagnetic valve refers to the air leakage rate of the electromagnetic valve under a certain pressure, the electromagnetic valve needs to be calibrated or operated more frequently in order to maintain the air tightness, and the higher the air leakage rate of the electromagnetic valve is, the more frequent the air leakage rate of the electromagnetic valve is; gas leakage around the solenoid valve can be located and measured using gas leakage detection instruments, such as gas detectors or helium detectors, which can detect very small gas leakage and help determine the gas tightness properties of the solenoid valve;
the action rate of the solenoid valve refers to the speed of the solenoid valve in switching from one state to another, the action rate of the solenoid valve being affected by factors such as the type of fluid, the temperature, etc., a higher action rate may mean that the solenoid valve can perform more actions in the same time, and thus the number of actions increases, for further explanation of the present invention, taking the solenoid valve being fed with two different types of fluids, the viscosity of the two fluids being different, the greater the viscosity of the fluid means that the action rate of the solenoid valve is lower, and the fewer the number of actions of the solenoid valve is, the actual position of the spool or valve body can be monitored by a position sensor mounted on the solenoid valve in the same time. By recording the change of position with time, the action rate can be calculated;
the construction method of the action frequency compensation model comprises the following steps: obtaining a test data set in an experimental environment, and training an action frequency compensation model based on the test data set;
the method for obtaining the test data set comprises the following steps:
under a dynamic test environment, setting the air leakage rate of the electromagnetic valve as a reference value, dynamically changing the action rate of the electromagnetic valve to obtain first experimental data, repeating n times to obtain a first experimental data set, wherein n is a positive integer greater than 1;
setting the action rate of the electromagnetic valve as a reference value, dynamically changing the air leakage rate of the electromagnetic valve to obtain second experimental data, repeating n times to obtain a second experimental data set, wherein the first experimental data and the second experimental data comprise the air leakage rate of the electromagnetic valve, the action rate of the electromagnetic valve and action frequency difference values, and the action frequency difference values are the electromagnetic valve test action frequency minus the electromagnetic valve standard action frequency;
and regulating the reference value of the air leakage rate of the electromagnetic valve and the action rate of the electromagnetic valve to obtain a first experimental data set and a second experimental data set, fusing the first experimental data set and the second experimental data set to generate a test data set, wherein the first experimental data set consists of j first experimental data sets, the second experimental data set consists of j second experimental data sets, and j is a positive integer greater than 1.
The action frequency compensation model is a mathematical model, and the method for training the action frequency compensation model based on the test data set comprises the following steps:
Mas=
wherein, mas is the correction action times of the electromagnetic valve,for the actual measurement of the action times of the electromagnetic valve, < >>For the difference of the number of actions, +.>And->Are all weight factors;
the method of fusing the first experimental data set and the second experimental data set includes:
performing union on the first experimental data set and the second experimental data set to obtain a test data set;
wherein, ma in the formulas、And->The air leakage rate of the electromagnetic valve and the action rate of the electromagnetic valve are the same, and the air leakage rate of the electromagnetic valve and the action rate of the electromagnetic valve are respectively set as reference values to obtain a first experimental data set and a second experimental data set, but the first experimental data set and the second experimental data set are not comprehensive, so that the comprehensive first experimental data set and the comprehensive second experimental data set are obtained by changing the reference values of the air leakage rate of the electromagnetic valve and the action rate of the electromagnetic valve, and it is understood that the same data as the second experimental data set exists in the first experimental data set can be avoided through experimental setting, so that the first experimental data set and the second experimental data set can be directly combined, and the test data set is obtained;
s20: judging whether the correction action times of the electromagnetic valve belong to an action time limiting section, if not, judging whether the correction action times of the electromagnetic valve are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section, if so, switching to S30, and if so, switching to S40;
specifically, in this embodiment, the action frequency limiting interval may be set by those skilled in the art according to actual situations, where the solenoid valve circuit indicates that the solenoid coil cannot obtain current, so that magnetism is lost, a magnetic field cannot be generated to attract the valve core, so that the correction action frequency of the solenoid valve is reduced, and the solenoid valve may become slow under the condition of low power supply and low voltage of the solenoid valve, because the solenoid valve is insufficient to quickly attract the valve core, the correction action frequency of the solenoid valve is reduced, the opposite solenoid valve circuit indicates that the current path is changed, and bypasses the normal coil resistor, so that excessive current is generated, so that the correction action frequency of the solenoid valve is increased, and the solenoid valve power supply overvoltage causes the correction action frequency of the solenoid valve to be increased, so that the action frequency limiting interval is set, so as to determine whether the solenoid valve is in a normal state;
s30: generating a solenoid valve state coefficient based on solenoid valve correction action times and solenoid valve action rates, inputting the solenoid valve state coefficient into a pre-constructed fault classification model, acquiring a first fault type and turning to S50, wherein the first fault type comprises solenoid valve open circuit and solenoid valve power supply undervoltage;
in this embodiment, the method for generating the solenoid valve state coefficient based on the solenoid valve correction operation number and the solenoid valve operation rate includes:
in the method, in the process of the invention,is the state coefficient of the electromagnetic valve, ">For the solenoid valve action rate,/>For the number of corrective actions of the solenoid valve, +.>Is natural constant (18)>And->Are all weight factors;
the training process of the fault classification model comprises the following steps: acquiring i groups of data, wherein i is a positive integer greater than or equal to 1, the data comprises a solenoid valve state coefficient and a first fault type, the solenoid valve state coefficient and the first fault type are used as sample sets, the sample sets are divided into training sets and test sets, a classifier is constructed, the solenoid valve state coefficient in the training sets is used as input data, the first fault type in the training sets is used as output data, the classifier is trained to obtain an initial classifier, the test set is used for testing the initial classifier, the classifier meeting the preset accuracy is output as a fault classification model, and the classifier is preferably a linear regression model or a naive Bayesian model;
in this embodiment, both solenoid valve open circuit and solenoid valve power supply under-voltage can lead to the solenoid valve correction action times to be reduced, the solenoid valve open circuit leads to the solenoid valve correction action times to be rapidly reduced, and the solenoid valve power supply under-voltage can lead to the correction action times to be slowly reduced, but in practical cases, because of the characteristics of the valve core and the spring system, the solenoid valve correction action times are usually counted as the action times of the valve core in unit time, the action times of the valve core in unit time may be tens of times, and only the solenoid valve open circuit and the solenoid valve power supply under-voltage are difficult to be rapidly and accurately distinguished through the solenoid valve correction action times, and the solenoid valve open circuit can lead to the solenoid valve core to be rapidly returned, so that the solenoid valve action rate becomes large, and the solenoid valve open circuit and the solenoid valve power supply under-voltage can be accurately distinguished through the solenoid valve correction action times and the solenoid valve action rate;
s40: obtaining the electromagnetic valve actual measurement voltage, determining electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage, determining a second fault type based on the electromagnetic valve actual measurement voltage, and turning to S50, wherein the second fault type comprises electromagnetic valve short circuit and electromagnetic valve power supply overvoltage;
it should be noted that, the voltage at two ends of the electromagnetic valve is close to zero due to the short circuit of the electromagnetic valve, and the voltage at two ends of the electromagnetic valve is increased due to the overvoltage of the electromagnetic valve power supply, and the measured voltage of the electromagnetic valve can be obtained through an oscilloscope or a digital voltmeter;
the method for determining the electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage comprises the following steps:
acquiring first equipment information corresponding to the actual measurement action times of the electromagnetic valve and second equipment information corresponding to the actual measurement voltage of the electromagnetic valve, wherein the first equipment information is a counter serial number, and the second equipment information is an oscilloscope serial number;
acquiring entity information based on the first equipment information, the second equipment information and the pre-constructed knowledge graph, wherein the entity information is an electromagnetic valve serial number;
and acquiring electromagnetic valve position information according to the pre-constructed knowledge graph and entity information.
The knowledge graph construction method comprises the following steps:
acquiring m groups of map data, wherein m is a positive integer greater than 1, and the map data comprises an electromagnetic valve serial number, first equipment information, second equipment information and electromagnetic valve position information;
using the electromagnetic valve serial number as an entity, and determining the entity relation between the electromagnetic valve serial number and the first equipment information, the second equipment information and the electromagnetic valve position information through an information extraction technology, wherein the information extraction technology comprises relation extraction, event extraction, template filling, semantic role marking and coreference resolution;
constructing a knowledge graph based on graph data and entity relationships;
it will be appreciated that when the solenoid valve is shorted or over-voltage supplied, the valve island may be affected, resulting in an error in determining the position of the maintenance solenoid valve, so that when the solenoid valve is shorted or over-voltage supplied, the position of the solenoid valve needs to be determined by other ways, as shown in fig. 3, ety is an entity, erp is an entity relationship, fdi is first equipment information, sdi is second equipment information, spi is solenoid valve position information, it is available from the figure, m sets of map data have m solenoid valve serial numbers, but the second equipment information corresponding to different solenoid valve serial numbers may be the same, for example, the second equipment information is an oscilloscope serial number, and the oscilloscope can detect the voltages of a plurality of solenoid valves simultaneously, then the solenoid valve serial numbers need to be further determined by the first equipment information, so as to determine the solenoid valve position information according to the solenoid valve serial numbers;
the method for determining the second fault type based on the measured voltage of the electromagnetic valve comprises the following steps:
when the measured voltage of the electromagnetic valve is smaller than a preset voltage threshold value, the second fault type is electromagnetic valve short circuit;
when the measured voltage of the electromagnetic valve is greater than or equal to a preset voltage threshold, the second fault type is the power supply overvoltage of the electromagnetic valve;
s50: determining a fault grade based on the first fault type or the second fault type, and displaying the fault grade, wherein the fault grade comprises the first fault grade and the second fault grade;
specifically, the method for determining the fault level based on the first fault type or the second fault type comprises the following steps:
when the first fault type is that the electromagnetic valve is open, marking the first fault type as a first fault grade;
when the first fault type is the power supply undervoltage of the electromagnetic valve, marking the first fault type as a second fault level;
when the second fault type is short-circuited of the electromagnetic valve, marking the first fault type as a first fault level;
when the second fault type is the electromagnetic valve power supply overvoltage, marking the second fault type as a second fault level;
it can be understood that no matter the solenoid valve is disconnected or the solenoid valve is shorted, the solenoid valve on the valve island is overheated or current is abnormal, thereby damage the solenoid valve, normal operation of the valve island is affected, and the valve island needs to be repaired urgently, therefore, if the conditions of solenoid valve disconnection, solenoid valve power supply undervoltage and the like exist in the valve island, the staff can process in sequence according to the fault level, the maximization of the working efficiency is ensured, the solenoid valve actual measurement action times and solenoid valve actual condition information in the embodiment can verify the corresponding solenoid valve fault types, the valve island can perform accurate self fault diagnosis function, the fault of the valve island can be rapidly solved, and the fault of the valve island is avoided from being damaged to a greater extent due to the fault.
Example 2
As shown in fig. 2, the present embodiment provides a solenoid valve island control signal verification system based on embodiment 1, including:
and a data compensation module: obtaining electromagnetic valve actual measurement action times and electromagnetic valve live information, inputting the electromagnetic valve actual measurement action times and the electromagnetic valve live information into a pre-constructed action times compensation model, and obtaining electromagnetic valve correction action times output by the action times compensation model, wherein the electromagnetic valve live information comprises electromagnetic valve leakage rate and electromagnetic valve action rate;
and a judging module: judging whether the correction action times of the electromagnetic valve belong to an action time limiting section, if not, judging whether the correction action times of the electromagnetic valve are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section, if so, switching to a first type determining module, and if so, switching to a second type determining module;
a first type determination module: generating a solenoid valve state coefficient based on solenoid valve correction action times and solenoid valve action rates, inputting the solenoid valve state coefficient into a pre-constructed fault classification model, acquiring a first fault type and transferring the first fault type to a grade determining module, wherein the first fault type comprises solenoid valve open circuit and solenoid valve power supply undervoltage;
a second type determination module: obtaining the electromagnetic valve actual measurement voltage, determining electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage, determining a second fault type based on the electromagnetic valve actual measurement voltage, and converting the second fault type into a grade determining module, wherein the second fault type comprises electromagnetic valve short circuit and electromagnetic valve power supply overvoltage;
the method for determining the second fault type based on the measured voltage of the electromagnetic valve comprises the following steps:
when the measured voltage of the electromagnetic valve is smaller than a preset voltage threshold value, the second fault type is electromagnetic valve short circuit;
when the measured voltage of the electromagnetic valve is greater than or equal to a preset voltage threshold, the second fault type is the power supply overvoltage of the electromagnetic valve;
the grade determining module: determining a fault grade based on the first fault type or the second fault type, and displaying the fault grade, wherein the fault grade comprises the first fault grade and the second fault grade;
the method for determining the fault level based on the first fault type or the second fault type comprises the following steps:
when the first fault type is that the electromagnetic valve is open, marking the first fault type as a first fault grade;
when the first fault type is the power supply undervoltage of the electromagnetic valve, marking the first fault type as a second fault level;
when the second fault type is short-circuited of the electromagnetic valve, marking the first fault type as a first fault level;
when the second fault type is solenoid valve supply overvoltage, the second fault type is marked as a second fault level.
Example 3
The embodiment discloses an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the solenoid valve island control signal verification method provided by the above methods when executing the computer program.
Since the electronic device described in this embodiment is an electronic device used to implement the solenoid valve island control signal verification method in this embodiment, based on the solenoid valve island control signal verification method described in this embodiment, those skilled in the art can understand the specific implementation manner of the electronic device and various modifications thereof, so how the electronic device implements the method in this embodiment will not be described in detail herein. As long as the person skilled in the art implements the electronic device used in the method for checking the control signal of the electromagnetic valve island in the embodiment of the present application, the electronic device is within the scope of protection intended in the present application.
Example 4
As shown in fig. 4, the disclosure of the present embodiment provides a computer readable storage medium, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the solenoid valve island control signal verification method provided by the above methods when executing the computer program.
The above formulas are all formulas with dimensionality removed and numerical value calculated, the formulas are formulas with the latest real situation obtained by software simulation by collecting a large amount of data, and preset parameters, weights and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center over a wired network or a wireless network. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely one, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (12)

1. The solenoid valve island control signal verification method is characterized by comprising the following steps of:
s10: obtaining electromagnetic valve actual measurement action times and electromagnetic valve live information, inputting the electromagnetic valve actual measurement action times and the electromagnetic valve live information into a pre-constructed action times compensation model, and obtaining electromagnetic valve correction action times output by the action times compensation model, wherein the electromagnetic valve live information comprises electromagnetic valve leakage rate and electromagnetic valve action rate;
s20: judging whether the correction action times of the electromagnetic valve belong to an action time limiting section, if not, judging whether the correction action times of the electromagnetic valve are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section, if so, switching to S30, and if so, switching to S40;
s30: generating a solenoid valve state coefficient based on solenoid valve correction action times and solenoid valve action rates, inputting the solenoid valve state coefficient into a pre-constructed fault classification model, acquiring a first fault type and turning to S50, wherein the first fault type comprises solenoid valve open circuit and solenoid valve power supply undervoltage;
s40: obtaining the electromagnetic valve actual measurement voltage, determining electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage, determining a second fault type based on the electromagnetic valve actual measurement voltage, and turning to S50, wherein the second fault type comprises electromagnetic valve short circuit and electromagnetic valve power supply overvoltage;
s50: the fault level is determined based on the first fault type or the second fault type, the fault level is displayed, and the fault level comprises the first fault level and the second fault level.
2. The solenoid valve island control signal verification method of claim 1, wherein the method of obtaining a test data set comprises:
under a dynamic test environment, setting the air leakage rate of the electromagnetic valve as a reference value, dynamically changing the action rate of the electromagnetic valve to obtain first experimental data, repeating n times to obtain a first experimental data set, wherein n is a positive integer greater than 1;
setting the action rate of the electromagnetic valve as a reference value, dynamically changing the air leakage rate of the electromagnetic valve to obtain second experimental data, repeating n times to obtain a second experimental data set, wherein the first experimental data and the second experimental data comprise the air leakage rate of the electromagnetic valve, the action rate of the electromagnetic valve and action frequency difference values, and the action frequency difference values are the electromagnetic valve test action frequency minus the electromagnetic valve standard action frequency;
and regulating the reference value of the air leakage rate of the electromagnetic valve and the action rate of the electromagnetic valve to obtain a first experimental data set and a second experimental data set, fusing the first experimental data set and the second experimental data set to generate a test data set, wherein the first experimental data set consists of j first experimental data sets, the second experimental data set consists of j second experimental data sets, and j is a positive integer greater than 1.
3. The solenoid valve island control signal verification method of claim 2, wherein the action number compensation model is a mathematical model, and the training action number compensation model method based on the test data set comprises:
Mas=
wherein, mas is the correction action times of the electromagnetic valve,for the actual measurement of the action times of the electromagnetic valve, < >>For the difference of the number of actions, +.>And->Are all weight factors.
4. The solenoid valve island control signal verification method of claim 1, wherein the method of generating the solenoid valve state coefficient based on the solenoid valve corrective action number and the solenoid valve action rate comprises:
in the method, in the process of the invention,is the state coefficient of the electromagnetic valve, ">For the solenoid valve action rate,/>For the number of corrective actions of the solenoid valve, +.>Is natural constant (18)>And->Are all weight factors.
5. The solenoid valve island control signal verification method of claim 4, wherein the training process of the fault classification model is: the method comprises the steps of obtaining i groups of data, wherein i is a positive integer greater than or equal to 1, the data comprise a solenoid valve state coefficient and a first fault type, the solenoid valve state coefficient and the first fault type are used as sample sets, the sample sets are divided into training sets and test sets, a classifier is constructed, the solenoid valve state coefficient in the training sets is used as input data, the first fault type in the training sets is used as output data, the classifier is trained, an initial classifier is obtained, the test set is used for testing the initial classifier, and the classifier meeting the preset accuracy is output to serve as a fault classification model.
6. The solenoid valve island control signal verification method of claim 1, wherein the method of determining solenoid valve position information based on solenoid valve measured action times and solenoid valve measured voltage comprises:
acquiring first equipment information corresponding to the actual measurement action times of the electromagnetic valve and second equipment information corresponding to the actual measurement voltage of the electromagnetic valve, wherein the first equipment information is a counter serial number, and the second equipment information is an oscilloscope serial number;
acquiring entity information based on the first equipment information, the second equipment information and the pre-constructed knowledge graph, wherein the entity information is an electromagnetic valve serial number;
and acquiring electromagnetic valve position information according to the pre-constructed knowledge graph and entity information.
7. The solenoid valve island control signal verification method of claim 6, wherein the knowledge graph construction method comprises:
acquiring m groups of map data, wherein m is a positive integer greater than 1, and the map data comprises an electromagnetic valve serial number, first equipment information, second equipment information and electromagnetic valve position information;
using the electromagnetic valve serial number as an entity, and determining the entity relation between the electromagnetic valve serial number and the first equipment information, the second equipment information and the electromagnetic valve position information through an information extraction technology, wherein the information extraction technology comprises relation extraction, event extraction, template filling, semantic role marking and coreference resolution;
and constructing a knowledge graph based on the graph data and the entity relationship.
8. The solenoid valve island control signal verification method of claim 1, wherein the method of determining the second fault type based on the solenoid valve measured voltage comprises:
when the measured voltage of the electromagnetic valve is smaller than a preset voltage threshold value, the second fault type is electromagnetic valve short circuit;
and when the measured voltage of the electromagnetic valve is greater than or equal to a preset voltage threshold, the second fault type is the power supply overvoltage of the electromagnetic valve.
9. The solenoid valve island control signal verification method of claim 1, wherein the method of determining the fault level based on the first fault type or the second fault type comprises:
when the first fault type is that the electromagnetic valve is open, marking the first fault type as a first fault grade;
when the first fault type is the power supply undervoltage of the electromagnetic valve, marking the first fault type as a second fault level;
when the second fault type is short-circuited of the electromagnetic valve, marking the first fault type as a first fault level;
when the second fault type is solenoid valve supply overvoltage, the second fault type is marked as a second fault level.
10. Solenoid valve island control signal verification system for implementing a solenoid valve island control signal verification method according to any one of claims 1 to 9, characterized by comprising:
and a data compensation module: obtaining electromagnetic valve actual measurement action times and electromagnetic valve live information, inputting the electromagnetic valve actual measurement action times and the electromagnetic valve live information into a pre-constructed action times compensation model, and obtaining electromagnetic valve correction action times output by the action times compensation model, wherein the electromagnetic valve live information comprises electromagnetic valve leakage rate and electromagnetic valve action rate;
and a judging module: judging whether the correction action times of the electromagnetic valve belong to an action time limiting section, if not, judging whether the correction action times of the electromagnetic valve are smaller than the minimum value of the action time limiting section or larger than the maximum value of the action time limiting section, if so, switching to a first type determining module, and if so, switching to a second type determining module;
a first type determination module: generating a solenoid valve state coefficient based on solenoid valve correction action times and solenoid valve action rates, inputting the solenoid valve state coefficient into a pre-constructed fault classification model, acquiring a first fault type and transferring the first fault type to a grade determining module, wherein the first fault type comprises solenoid valve open circuit and solenoid valve power supply undervoltage;
a second type determination module: obtaining the electromagnetic valve actual measurement voltage, determining electromagnetic valve position information according to the electromagnetic valve actual measurement action times and the electromagnetic valve actual measurement voltage, determining a second fault type based on the electromagnetic valve actual measurement voltage, and converting the second fault type into a grade determining module, wherein the second fault type comprises electromagnetic valve short circuit and electromagnetic valve power supply overvoltage;
the grade determining module: the fault level is determined based on the first fault type or the second fault type, the fault level is displayed, and the fault level comprises the first fault level and the second fault level.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the solenoid island control signal verification method of any one of claims 1 to 9 when the computer program is executed by the processor.
12. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the solenoid island control signal verification method of any one of claims 1 to 9.
CN202410113967.4A 2024-01-27 2024-01-27 Solenoid valve island control signal verification method and system Active CN117687394B (en)

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