CN116263720A - Method and device for starting self-checking and electronic equipment - Google Patents

Method and device for starting self-checking and electronic equipment Download PDF

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Publication number
CN116263720A
CN116263720A CN202111537636.6A CN202111537636A CN116263720A CN 116263720 A CN116263720 A CN 116263720A CN 202111537636 A CN202111537636 A CN 202111537636A CN 116263720 A CN116263720 A CN 116263720A
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detection
item
self
inert gas
industrial system
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刘永生
武高峰
张伟建
赵阳
王正远
郭力
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Longi Green Energy Technology Co Ltd
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Longi Green Energy Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/079Root cause analysis, i.e. error or fault diagnosis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The embodiment of the invention provides a method and a device for starting up self-test and electronic equipment, wherein the method is applied to an industrial system and comprises the following steps: under the condition of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system; combining detection parameters of all detection points according to detection point combinations corresponding to all detection items in preset self-detection information to obtain parameter combinations corresponding to all detection items; for each parameter combination, determining a detection result of a detection item of the corresponding parameter combination according to the parameter combination; and generating self-checking result information of the industrial system according to the detection results of the detection items. According to the embodiment of the invention, the abnormal condition of one detection item is judged based on the detection parameters of a plurality of detection points, so that a more accurate detection result can be obtained, and the self-detection result information contains more accurate operation conditions of an industrial system.

Description

Method and device for starting self-checking and electronic equipment
Technical Field
The invention relates to the technical field of industrial control, in particular to a startup self-checking method and device and electronic equipment.
Background
With the wide introduction of industrial control, particularly with the development of intelligent and automation level, how to raise the automation level of industrial systems is important. Along with the automation of the industrial system, the problem that the operation period of the industrial system is longer generally exists, namely, the system is not allowed to stop detecting the system, hardware, sensors and motion executing mechanisms if no major potential safety hazard exists in the operation process of the system, so that the starting-up self-checking of the industrial system is particularly important and necessary.
At present, a traditional starting-up self-checking mode of an industrial system generally collects alarm information of each detection point in the industrial system, and determines whether the detection point is normal or not based on the alarm information.
However, many factors influencing the detection point cause that the self-detection result in the current power-on self-detection mode is not very accurate.
Disclosure of Invention
The embodiment of the invention provides a method and a device for starting up self-test and electronic equipment, which aim to solve the problem that a self-test result obtained by the existing starting up self-test scheme is not very accurate.
In a first aspect, an embodiment of the present invention provides a method for performing a boot self-test, which is applied to an industrial system, where the method includes:
under the condition of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system;
combining the detection parameters of each detection point according to the detection point combination corresponding to each detection item in preset self-detection information to obtain the parameter combination corresponding to each detection item; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
for each parameter combination, determining a detection result of the detection item corresponding to the parameter combination according to the parameter combination;
And generating self-checking result information of the industrial system according to the detection result of each detection item.
Optionally, in a case of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system includes:
under the condition of starting each functional subsystem of the industrial system, acquiring respective detection parameters of a plurality of detection points in each functional subsystem;
generating self-checking result information of the industrial system according to the detection result of each detection item, including:
determining a self-checking result of each functional subsystem according to the detection result of each detection item;
and generating self-checking result information of the industrial system according to the self-checking result of each functional subsystem.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem includes an inert gas subsystem, the detection parameters include: inert gas flow deviation, inert gas pressure and furnace pressure, wherein the inert gas flow deviation comprises a difference value between an inert gas flow set value and an inert gas flow detection value;
the detection item corresponding parameter combination comprises:
The inert gas flow deviation and the inert gas pressure corresponding to the inert gas pipeline detection items;
the inert gas flow deviation, the inert gas pressure and the furnace pressure corresponding to the furnace pressure detection item;
the step of determining the detection result of the detection item corresponding to the parameter combination according to the parameter combination comprises the following steps:
when the inert gas flow deviation is larger than a first threshold value and the condition that the inert gas pressure changes along with time does not accord with a first target change curve, the detection result of the inert gas pipeline detection item is that an inert gas pipeline is abnormal;
and when the deviation of the inert gas flow is smaller than or equal to a first threshold value, the condition of the inert gas pressure changing along with time accords with a first target change curve, and the condition of the furnace pressure changing along with time does not accord with a second target change curve, the detection result of the furnace pressure detection item is that the flowmeter is abnormal.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem includes a heating subsystem, the detected parameters include: the power supply cabinet comprises heating power deviation, first operation information representing the operation condition of the power supply cabinet and furnace temperature, wherein the heating power deviation comprises a difference value between a heater power set value and a heater power detection value;
The detection item corresponding parameter combination comprises:
the heating power deviation and the first operation information corresponding to the power cabinet detection item;
the heating power deviation, the first operation information and the furnace temperature corresponding to the heater detection item;
the step of determining the detection result of the detection item corresponding to the parameter combination according to the parameter combination comprises the following steps:
when the heating power deviation is larger than a second threshold value and the first operation information represents that the power cabinet is abnormal, the detection result of the power cabinet detection item is that the power cabinet is abnormal;
and when the heating power deviation is smaller than or equal to a second threshold value, the first operation information represents that the power cabinet is normal, and the condition that the furnace temperature changes along with time does not accord with a third target change curve, the detection result of the heater detection item is that the heater is abnormal.
Optionally, in the case where the industrial system is a crystal pulling system, the functional subsystem includes a crystal lifting subsystem, the detection parameters include: the system comprises a crystal lifting speed deviation, communication information representing the crystal lifting communication condition and second operation information representing the operation condition of an encoder, wherein the crystal lifting speed deviation comprises a difference value between a crystal lifting speed set value and a crystal lifting speed detection value;
The detection item corresponding parameter combination comprises:
the crystal lifting speed deviation corresponding to the crystal lifting motor detection item and the communication information;
the encoder detects the crystal rise speed deviation, the communication information and the second operation information corresponding to the detection item;
the step of determining the detection result of the detection item corresponding to the parameter combination according to the parameter combination comprises the following steps:
under the condition that the crystal lifting speed deviation is larger than a third threshold value and the communication information represents abnormal crystal lifting communication, the detection result of the crystal lifting motor detection item is abnormal crystal lifting motor;
and under the conditions that the deviation of the crystal lifting speed is smaller than or equal to a third threshold value, the communication information represents that the crystal lifting communication is normal, the second operation information represents that the position of the encoder is unchanged and the signal input is normal, the detection result of the encoder detection item is that the encoder is abnormal.
Optionally, each of the functional subsystems corresponds to a plurality of detection items in the preset self-checking information;
the determining the self-checking result of each functional subsystem according to the detection result of each detection item comprises the following steps:
determining each detection result corresponding to each functional subsystem based on each detection item corresponding to the functional subsystem;
Combining detection results corresponding to the functional subsystems aiming at each functional subsystem to obtain a detection result combination corresponding to the functional subsystems;
and aiming at each functional subsystem, determining a self-checking result of the functional subsystem according to the detection result combination corresponding to the functional subsystem.
Optionally, the detection parameters of the detection points in each detection point combination are different types of parameters.
In a second aspect, an embodiment of the present invention further provides a device for power-on self-checking, which is applied to an industrial system, and the device includes:
the acquisition module is used for acquiring detection parameters of each of a plurality of detection points in the industrial system under the condition of starting the industrial system;
the combination module is used for combining the detection parameters of each detection point according to the detection point combination corresponding to each detection item in the preset self-detection information to obtain the parameter combination corresponding to each detection item; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
the detection module is used for determining a detection result of the detection item corresponding to each parameter combination according to the parameter combination;
And the generating module is used for generating self-checking result information of the industrial system according to the detection result of each detection item.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, a bus, and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method of power-on self-test as described above when the program is executed.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in a method of power-on self-test as described above.
In the embodiment of the invention, under the condition of starting the industrial system, the detection parameters of each of a plurality of detection points in the industrial system are acquired, wherein the starting operation is a precondition in a starting self-detection flow, and the starting of the industrial system is the execution of the starting operation by the industrial system. Based on preset self-checking information, the detection parameters of all detection points are combined according to the detection point combination corresponding to each detection item, so that the parameter combination corresponding to each detection item is obtained, and further, according to each parameter combination, the detection result of the detection item corresponding to the parameter combination is determined according to the parameter combination. That is, the detection parameters of each of the plurality of detection points are combined to determine a detection item. And finally, obtaining self-checking result information of the industrial system based on the detection results of all the detection items. Compared with the method for judging the abnormal condition of the detection point by adopting the detection parameters of the single detection point, the method and the device for judging the abnormal condition of the industrial system based on the detection parameters of the plurality of detection points can obtain more accurate detection results, and the self-detection result information contains more accurate operation conditions of the industrial system.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart illustrating steps of a method for performing a boot self-test according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a portion of a method for performing a boot self test according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps for performing a boot self-test of an argon subsystem according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating steps of a power-on self-test of a heating subsystem according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating steps of a power-on self-test of a crystal lifting subsystem according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating steps of a dry pump subsystem boot self-test according to an embodiment of the present invention;
FIG. 7 is a block diagram of a device for power-on self-test according to an embodiment of the present invention;
fig. 8 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. 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.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a method for power-on self-test, which is applied to an industrial system, and the method includes:
step 101: in the case of starting up an industrial system, detection parameters of each of a plurality of detection points in the industrial system are acquired.
It should be noted that, the starting operation is a precondition in the starting self-checking flow, and starting the industrial system is that the industrial system executes the starting operation. That is, the industrial system that is not started is powered up to operate normally. The industrial system is a system for industrial production, and the detection points are detection devices, such as a temperature detection device, a pressure detection device, a gas flow detection device, and the like, which are arranged at different positions of the industrial system and are used for detecting various parameters. The detection side parameter is a parameter detected by a detection point or a parameter after the detected parameter is subjected to preset processing. That is, the detection parameter is not necessarily a detection value obtained by the detection device, and may be a value obtained by processing the detection value. For example, the detecting device is a temperature detecting device, and the detecting parameter may be a detected temperature value or a temperature difference between the detected temperature value and a set temperature value. The determination mode of the detection parameters of the detection points is already preset, and only the detection parameters output by the detection points need to be obtained.
The starting-up detection process is a continuous process, and can be continuously carried out or the detection is carried out for a few times to obtain a detection parameter. Thus, for the same detection point, the detection parameters of the detection point are a series of detection parameters.
Step 102: and combining detection parameters of each detection point according to the detection point combination corresponding to each detection item in the preset self-detection information to obtain the parameter combination corresponding to each detection item.
It should be noted that the preset self-checking information is self-checking information preset in the industrial system. Here, in order to satisfy the power-on self-test requirement of the industrial system, a plurality of test items may be set based on the power-on self-test requirement of the industrial system, that is, which test items need to be tested, and a plurality of different test points (test point combinations) for determining whether the test item is abnormal may be set for each test item. Specifically, the detection point combination corresponding to the detection item includes a combination of a plurality of detection point compositions for determining whether the detection item is abnormal. One detection item is one detection item, and can also be a detection item. The different detection items in the starting-up self-test process are equivalent to different physical examination items in the physical examination process, and the difference is that the invention detects the industrial system and the specific content of the detection items is also different.
Of course, a test item may also be understood as requiring a test of a certain hardware device itself or its operating parameters in the industrial system. It is understood that the combination of detection points corresponding to the detection items may further include a combination of a plurality of detection point compositions for determining whether the target device is abnormal. The target device is a target device associated with the detection item in the industrial system.
The combination of the detection point combinations to which each parameter belongs in the parameter combination is the same as the detection point combination corresponding to the detection item of the corresponding parameter combination. For example, the combination of detection points corresponding to the first detection item includes a first detection point and a second detection point, where the detection parameter of the first detection point is a first detection parameter, and the detection parameter of the second detection point is a second detection parameter, and the obtained combination of parameters corresponding to the first detection item includes the first detection parameter and the second detection parameter.
Step 103: for each parameter combination, determining the detection result of the detection item of the corresponding parameter combination according to the parameter combination.
It should be noted that the number of parameter combinations is plural, so that a plurality of detection results can be obtained, where each detection result corresponds to one parameter combination, and the detection result is a detection result of a detection item corresponding to the parameter combination. Here, the detection result of the detection item may be whether the detection item is abnormal or whether a target device associated with the detection item is abnormal. Preferably, a detection result of abnormal bearing of the alarm information can be adopted, and if no abnormality is found in the detection item or the target equipment, the alarm information is not generated.
It may be appreciated that, when determining the detection result according to the parameter combination, a detection policy may be preset, and the detection result may be determined based on each detection parameter and the detection policy in the parameter combination. Specifically, each detection point combination in the preset self-detection information corresponds to two different detection results, namely a first detection result and a second detection result, and the different detection results correspond to different parameter conditions, namely a first parameter condition and a second parameter condition. When the parameter combination accords with the first parameter condition, the detection result of the detection item corresponding to the parameter combination is a first detection result; when the parameter combination accords with the second parameter condition, the detection result of the detection item corresponding to the parameter combination is a second detection result.
Step 104: and generating self-checking result information of the industrial system according to the detection results of the detection items.
It should be noted that, the detection results of each detection item are determined in the starting-up self-checking process of the industrial system, and the detection results are summarized to generate self-checking result information of the industrial system, so that a user can acquire each detection result when checking the self-checking result information.
In the embodiment of the invention, under the condition of starting the industrial system, the detection parameters of each of a plurality of detection points in the industrial system are acquired, wherein the starting operation is a precondition in a starting self-detection flow, and the starting of the industrial system is the execution of the starting operation by the industrial system. Based on preset self-checking information, the detection parameters of all detection points are combined according to the detection point combination corresponding to each detection item, so that the parameter combination corresponding to each detection item is obtained, and further, according to each parameter combination, the detection result of the detection item corresponding to the parameter combination is determined according to the parameter combination. That is, the detection parameters of each of the plurality of detection points are combined to determine a detection item. And finally, obtaining self-checking result information of the industrial system based on the detection results of all the detection items. Compared with the method for judging the abnormal condition of the detection point by adopting the detection parameters of the single detection point, the method and the device for judging the abnormal condition of the industrial system based on the detection parameters of the plurality of detection points can obtain more accurate detection results, and the self-detection result information contains more accurate operation conditions of the industrial system.
Optionally, in a case of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system includes:
under the condition that each functional subsystem of the industrial system is started, respective detection parameters of a plurality of detection points in each functional subsystem are acquired.
It should be noted that an industrial system may be functionally divided into a plurality of functional subsystems. Different functional subsystems have different functions in an industrial system, and the industrial system completes industrial production through mutual cooperation among a plurality of functional subsystems. Here, each detection point in the industrial system will be distributed in each functional subsystem according to the division of the functional subsystems. Thus, for each functional subsystem, detection points in the functional subsystem are used to detect various parameters of the functional subsystem.
It will be appreciated that in the case of an industrial system comprising a plurality of functional subsystems, the detection of the different functional subsystems may be accomplished by turning on the different functional subsystems through different actions (operations). As shown in fig. 2, a flowchart of some steps of a method for power-on self-test is shown, in which after an industrial system is powered on, different functional subsystems are turned on based on different action settings, and only the processing procedure after one functional subsystem is turned on is shown in fig. 2 because the processing procedure after the different functional subsystems are similar. The following describes the processing procedure after the function subsystem is turned on:
After the function subsystem is started, a parameter combination 1 is obtained based on detection point combinations corresponding to the first detection items in preset self-checking information, and then whether the first detection items are abnormal or not is judged by using the parameter combination 1. Based on the detection point combination corresponding to the performance detection 1 (second detection item) in the preset self-detection information, a parameter combination 2 (a combination of the detection parameter 1 and the parameter combination 1, not shown in fig. 2) is obtained, and then, whether the second detection item is abnormal is determined by using the parameter combination 2. Based on the detection point combination corresponding to the performance detection 2 (third detection item) in the preset self-detection information, a parameter combination 3 (a combination of the detection parameter 1, the detection parameter 2, and the parameter combination 1, not shown in fig. 2) is obtained, and then, whether the third detection item is abnormal is determined by using the parameter combination 3. It is to be understood that the detection items are not limited to the three detection items in fig. 2, and the detection process of each detection item may be performed simultaneously or sequentially from top to bottom.
Generating self-checking result information of the industrial system according to the detection result of each detection item, wherein the self-checking result information comprises:
and determining the self-checking result of each functional subsystem according to the detection result of each detection item.
It should be noted that the self-test result of the functional subsystem includes a test result determined based on a parameter combination of the test parameters of the test points in the functional subsystem. The detection results corresponding to the functional subsystem represent the operation condition of the functional subsystem, and whether and where the functional subsystem has problems can be determined through the detection results. The function subsystem to which the detection item belongs is the function subsystem to which each detection point in the detection point combination corresponding to the detection item belongs.
And generating self-checking result information of the industrial system according to the self-checking result of each functional subsystem.
It should be noted that, the self-checking results of the respective functional subsystems are summarized together as self-checking result information of the industrial system. Therefore, when the user checks the self-checking result information, the user can know the self-checking result of each functional subsystem.
In the embodiment of the invention, the industrial system is divided into a plurality of functional subsystems according to functions, and then the self-checking result of each functional subsystem is determined based on the detection result of each detection item, and the self-checking result of each functional subsystem is summarized into the self-checking result information of the industrial system, so that the division of intermediate granularity is realized, and the detection result of each detection item is prevented from being directly used as the self-checking result information of the industrial system.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem comprises an inert gas subsystem, the sensed parameter comprises: inert gas flow bias, inert gas pressure, and furnace pressure, wherein the inert gas flow bias comprises a difference between an inert gas flow set point and an inert gas flow detection value;
it should be noted that the crystal pulling system may be a system that uses the Czochralski method to pull single crystal silicon in a single crystal furnace. The inert gas refers to an inert gas, such as argon, that needs to be introduced into the furnace during operation of the crystal pulling system, but is not limited thereto. The inert gas pressure is the pressure of inert gas in the inert gas pipeline, and the furnace pressure is the furnace pressure of the single crystal furnace.
The detection item corresponding parameter combination comprises:
inert gas flow deviation and inert gas pressure corresponding to inert gas pipeline detection items;
inert gas flow deviation, inert gas pressure and furnace pressure corresponding to the furnace pressure detection items.
It can be understood that, when the detection point to which the inert gas flow deviation belongs is a first detection point, the detection point to which the inert gas pressure belongs is a second detection point, and the detection point to which the furnace pressure belongs is a third detection point, the detection point combination corresponding to the inert gas pipeline detection item in the preset self-detection information includes the first detection point and the second detection point; the detection point combination corresponding to the furnace pressure detection item comprises a first detection point, a second detection point and a third detection point. Thus, combinations of the above parameters can be obtained.
According to the parameter combination, determining a detection result of a detection item corresponding to the parameter combination, including:
and under the condition that the deviation of the inert gas flow is larger than a first threshold value and the condition that the inert gas pressure changes along with time does not accord with a first target change curve, the detection result of the inert gas pipeline detection item is that the inert gas pipeline is abnormal. Here, the first threshold value is a preset value, and when the deviation of the inert gas flow is larger than the first threshold value, the inert gas flow set value and the inert gas flow detection value are larger in difference, and the possibility of abnormality of the inert gas pipeline is indicated; when the condition of the inert gas pressure changing along the time does not accord with the first target change curve, the possibility of abnormality of the inert gas pipe is also indicated. Therefore, in the case where both are present, it can be regarded as an abnormality of the inert gas pipe. It is noted that the first target profile is a profile of inert gas pressure at normal start-up of the inert gas subsystem. The condition that the inert gas pressure changes with time can be understood as a curve generated based on the change of the inert gas pressure with time, the curve is compared with a first target change curve, and if the curve is inconsistent, the condition that the inert gas pressure changes with time does not accord with the first target change curve; if so, the pressure of the inert gas changes with time to conform to the first target change curve.
When the deviation of the inert gas flow is smaller than or equal to a first threshold value, the condition that the inert gas pressure changes along with time accords with a first target change curve, and the condition that the furnace pressure changes along with time does not accord with a second target change curve, the detection result of the furnace pressure detection item is that the flowmeter is abnormal. Here, if the inert gas flow deviation is equal to or less than the first threshold value and the inert gas pressure changes with time, the flow meter abnormality is described if the furnace pressure does not change with time, in accordance with the first target change curve. The second target change curve is a change curve of the furnace pressure when the inert gas subsystem is started normally.
An example is described below in which the inert gas is argon. Here, an argon flow (argon flow set value) is preset, the corresponding furnace pressure change is observed, analysis is performed based on the corresponding data collected in advance, and key data such as the furnace body size, the argon valve opening size, the pressure rising amplitude and the like are analyzed, so that whether the argon system is normal can be obtained. As shown in fig. 3, a flow chart of a step of a start-up self-test of the argon subsystem is shown, wherein after the start-up of the argon subsystem, a gas pressing valve is opened, a parameter combination 1 is obtained based on a detection point combination corresponding to an argon gas pipeline detection item in preset self-test information, and then whether the argon gas pipeline detection item is abnormal (whether a condition that a deviation exists between an argon gas flow set value and an argon gas flow detection value and the argon gas pressure is abnormal is met or not is judged by using the parameter combination 1). Based on the detection point combination corresponding to the furnace pressure detection item in the preset self-checking information, a parameter combination 2 (a combination consisting of the furnace pressure and the parameter combination 1, not shown in fig. 3) is obtained, and then, whether the furnace pressure detection item is abnormal or not is judged by using the parameter combination 2 (whether the condition of the change of the furnace pressure with time accords with a second target change curve or not is judged under the condition that the set value of the argon flow is not deviated from the detection value of the argon flow and the argon pressure is not abnormal).
In the embodiment of the invention, the inert gas subsystem is subjected to self-inspection in the crystal pulling system, and the running condition of the inert gas subsystem is accurately determined based on the parameter combination corresponding to the inert gas subsystem.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem includes a heating subsystem, the sensed parameter includes: the power supply cabinet comprises heating power deviation, first operation information representing the operation condition of the power supply cabinet and furnace temperature, wherein the heating power deviation comprises a difference value between a heater power set value and a heater power detection value;
the detection item corresponding parameter combination comprises:
heating power deviation and first operation information corresponding to the power cabinet detection item;
heating power deviation, first operation information and furnace temperature corresponding to the heater detection items;
according to the parameter combination, determining a detection result of a detection item corresponding to the parameter combination, including:
under the condition that the heating power deviation is larger than a second threshold value and the first operation information represents the abnormality of the power cabinet, the detection result of the power cabinet detection item is the abnormality of the power cabinet;
and when the heating power deviation is smaller than or equal to a second threshold value, the first operation information represents that the power cabinet is normal, and the condition that the furnace temperature changes along with time does not accord with a third target change curve, the detection result of the heater detection item is that the heater is abnormal.
It should be noted that the third target profile is the profile of the furnace temperature at normal start-up of the inert gas subsystem. The process of determining the detection result of the heating subsystem in the embodiment of the present invention is similar to the process of determining the detection result of the inert gas subsystem in the foregoing embodiment, and the difference is that the targets aimed at by the two are different, that is, the two aimed at different functional subsystems have different detection parameters and parameter combinations, which are not repeated here. Referring to fig. 4, a flowchart of a step of power-on self-test of the heating subsystem is shown, in which after the heating subsystem is powered on, heating power is set, a parameter combination 1 is obtained based on a detection point combination corresponding to a power cabinet detection item in preset self-test information, and then whether the power cabinet detection item is abnormal (whether a condition that a power set value deviates from a power detection value and the power cabinet is abnormal is satisfied) is determined by using the parameter combination 1. Based on the detection point combination corresponding to the heater detection item in the preset self-checking information, a parameter combination 2 (a combination consisting of the furnace temperature and the parameter combination 1, not shown in fig. 4) is obtained, and then, whether the heater detection item is abnormal or not is judged by using the parameter combination 2 (whether the condition of the change of the furnace temperature along with time accords with a third target change curve or not is judged under the condition that the power set value and the power detection value are not deviated and the power cabinet is not abnormal or not).
In the embodiment of the invention, the heating subsystem is subjected to self-inspection in the crystal pulling system, and the running condition of the heating subsystem is accurately determined based on the parameter combination corresponding to the heating subsystem.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem comprises a crystal lifting subsystem, the detection parameters include: the system comprises a crystal lifting speed deviation, communication information representing the crystal lifting communication condition and second operation information representing the operation condition of an encoder, wherein the crystal lifting speed deviation comprises a difference value between a crystal lifting speed set value and a crystal lifting speed detection value;
the detection item corresponding parameter combination comprises:
the crystal lifting motor detection item corresponds to the crystal lifting speed deviation and the communication information;
the encoder detects the crystal rise speed deviation, the communication information and the second operation information corresponding to the detection items;
according to the parameter combination, determining a detection result of a detection item corresponding to the parameter combination, including:
under the condition that the crystal lifting speed deviation is larger than a third threshold value and the communication information represents abnormal crystal lifting communication, the detection result of the crystal lifting motor detection item is abnormal crystal lifting motor;
and under the conditions that the deviation of the crystal lifting speed is smaller than or equal to a third threshold value, the communication information represents that the crystal lifting communication is normal, the second operation information represents that the position of the encoder is unchanged and the signal input is normal, the detection result of the encoder detection item is that the encoder is abnormal.
It should be noted that, in the embodiment of the present invention, the process of determining the detection result of the crystal lifting subsystem is similar to the process of determining the detection result of the inert gas subsystem in the previous embodiment, and the difference is that the targets of the two are different, that is, the two are different for different functional subsystems, and have different detection parameters and parameter combinations, which are not repeated here. Referring to fig. 5, a flowchart of a step of performing a power-on self-test of the lift-off subsystem is shown, in which after the power-on of the lift-off subsystem is performed, the lift-off speed is set, a parameter combination 1 is obtained based on a detection point combination corresponding to a lift-off motor detection item in preset self-test information, and then whether the lift-off motor detection item is abnormal or not is determined by using the parameter combination 1 (whether a condition that a set value of the lift-off speed deviates from a detection value of the lift-off speed and the lift-off communication is abnormal is satisfied is determined). Based on the detection point combination corresponding to the encoder detection item in the preset self-checking information, a parameter combination 2 (a combination consisting of the encoder operation information and the parameter combination 1, not shown in fig. 5) is obtained, and then, whether the encoder detection item is abnormal or not is judged by using the parameter combination 2 (whether the position of the encoder is unchanged and the signal input is normal or not is judged under the condition that the set value of the crystal rise speed is not deviated from the detection value of the crystal rise speed and the crystal rise communication is not abnormal).
In the embodiment of the invention, the crystal lifting subsystem is subjected to self-inspection in the crystal pulling system, and the running condition of the crystal lifting subsystem is accurately determined based on the parameter combination corresponding to the crystal lifting subsystem.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem comprises a dry pump subsystem, the sensed parameter comprises: the system comprises a dry pump frequency deviation, third operation information representing the operation condition of the dry pump and a furnace pressure, wherein the dry pump frequency deviation comprises a difference value between a dry pump operation frequency set value and a dry pump operation frequency detection value;
the detection item corresponding parameter combination comprises:
the dry pump detection item corresponds to dry pump frequency deviation and third operation information;
the furnace body detection item corresponds to the dry pump frequency deviation, the third operation information and the furnace pressure;
according to the parameter combination, determining a detection result of a detection item corresponding to the parameter combination, including:
under the condition that the deviation of the frequency of the dry pump is larger than a fourth threshold value and the third operation information represents that the dry pump is abnormal, the detection result of the dry pump detection item is that the dry pump body is abnormal;
and under the conditions that the deviation of the dry pump frequency is smaller than or equal to a fourth threshold value, the third operation information represents that the dry pump is normal, and the change of the furnace pressure along with time does not accord with a second target change curve, the detection result of the furnace body detection item is abnormal.
It should be noted that, in the embodiment of the present invention, the process of determining the detection result of the dry pump subsystem is similar to the process of determining the detection result of the inert gas subsystem in the previous embodiment, and the difference is that the targets of the two are different, that is, the two are different for different functional subsystems, and have different detection parameters and parameter combinations, which are not repeated here. Referring to fig. 6, a flowchart of a step of a self-test of a dry pump subsystem is shown, in which after the dry pump subsystem is started, a dry pump frequency is set, a parameter combination 1 is obtained based on a detection point combination corresponding to a dry pump detection item in preset self-test information, and then whether the dry pump detection item is abnormal is determined by using the parameter combination 1 (whether a condition that a set value of the dry pump frequency deviates from a detection value of the dry pump frequency and the dry pump is abnormal is satisfied). Based on the detection point combination corresponding to the furnace body detection item in the preset self-detection information, a parameter combination 2 (a combination consisting of the furnace pressure and the parameter combination 1 is not shown in fig. 6) is obtained, and then, whether the furnace body leaks air or not is judged by using the parameter combination 2 (whether the condition of the change of the furnace pressure along time accords with a second target change curve or not is judged under the condition that the set value of the dry pump frequency does not deviate from the detection value of the dry pump frequency and the dry pump does not see abnormality).
In the embodiment of the invention, the self-checking of the dry pump subsystem is carried out in the crystal pulling system, and the running condition of the dry pump subsystem is accurately determined based on the parameter combination corresponding to the dry pump subsystem.
Optionally, each functional subsystem corresponds to a plurality of detection items in preset self-checking information;
according to the detection results of the detection items, determining the self-checking result of each functional subsystem comprises the following steps:
determining detection results corresponding to the functional subsystems based on detection items corresponding to the functional subsystems for each functional subsystem;
combining detection results corresponding to the functional subsystems aiming at each functional subsystem to obtain a detection result combination corresponding to the functional subsystems;
and aiming at each functional subsystem, determining the self-checking result of the functional subsystem according to the corresponding detection result combination of the functional subsystem.
It should be noted that, different detection items in the preset self-checking information correspond to the respective corresponding functional subsystems, so that after the functional subsystems are determined, each detection result corresponding to the functional subsystems can be obtained quickly based on the detection items corresponding to the functional subsystems. It is understood that the combination of the detection results may be a simple combination and summary, or may be a result of further judgment based on a plurality of detection results.
In the embodiment of the invention, by combining the detection results in the functional subsystem, a more accurate self-checking result of the functional subsystem can be obtained.
Optionally, the detection parameters of the detection points in each detection point combination are different types of parameters.
It should be noted that the detection parameters may be classified into a temperature parameter, a flow parameter, and a pressure parameter, so that each detection parameter in the parameter combination is a different type of parameter.
In the embodiment of the invention, the detection parameters are classified, so that each detection parameter in the parameter combination is a different type of parameter, and the accuracy of the detection result can be improved.
Having described the method for power-on self-test provided by the embodiment of the invention, the device for power-on self-test provided by the embodiment of the invention is described below with reference to the accompanying drawings.
Referring to fig. 7, the embodiment of the invention further provides a device for power-on self-checking, which is applied to an industrial system, and the device comprises:
an obtaining module 71, configured to obtain detection parameters of each of a plurality of detection points in the industrial system when the industrial system is started;
the combination module 72 is configured to combine the detection parameters of the detection points according to the detection point combination corresponding to each detection item in the preset self-detection information, so as to obtain a parameter combination corresponding to each detection item; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
A detection module 73, configured to determine, for each parameter combination, a detection result of a detection item of the corresponding parameter combination according to the parameter combination;
the generating module 74 is configured to generate self-checking result information of the industrial system according to the detection result of each detection item.
Optionally, the acquiring module 71 is specifically configured to acquire, in a case where each of the functional subsystems of the industrial system is started, a detection parameter of each of a plurality of detection points in each of the functional subsystems;
the generation module 72 includes:
the determining unit is used for determining the self-checking result of each functional subsystem according to the detection result of each detection item;
and the generating unit is used for generating self-checking result information of the industrial system according to the self-checking result of each functional subsystem.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem comprises an inert gas subsystem, the sensed parameter comprises: inert gas flow bias, inert gas pressure, and furnace pressure, wherein the inert gas flow bias comprises a difference between an inert gas flow set point and an inert gas flow detection value;
the detection item corresponding parameter combination comprises:
inert gas flow deviation and inert gas pressure corresponding to inert gas pipeline detection items;
Inert gas flow deviation, inert gas pressure and furnace pressure corresponding to the furnace pressure detection items;
the detection module 73 is specifically configured to, in a case where the deviation of the inert gas flow is greater than the first threshold value and the condition that the inert gas pressure changes with time does not conform to the first target change curve, detect that the inert gas pipe is abnormal as a result of the inert gas pipe detection item; when the deviation of the inert gas flow is smaller than or equal to a first threshold value, the condition that the inert gas pressure changes along with time accords with a first target change curve, and the condition that the furnace pressure changes along with time does not accord with a second target change curve, the detection result of the furnace pressure detection item is that the flowmeter is abnormal.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem includes a heating subsystem, the sensed parameter includes: the power supply cabinet comprises heating power deviation, first operation information representing the operation condition of the power supply cabinet and furnace temperature, wherein the heating power deviation comprises a difference value between a heater power set value and a heater power detection value;
the detection item corresponding parameter combination comprises:
heating power deviation and first operation information corresponding to the power cabinet detection item;
heating power deviation, first operation information and furnace temperature corresponding to the heater detection items;
The detection module 73 is specifically configured to, when the heating power deviation is greater than the second threshold and the first operation information indicates that the power cabinet is abnormal, determine that the detection result of the power cabinet detection item is that the power cabinet is abnormal; and when the heating power deviation is smaller than or equal to a second threshold value, the first operation information represents that the power cabinet is normal, and the condition that the furnace temperature changes along with time does not accord with a third target change curve, the detection result of the heater detection item is that the heater is abnormal.
Optionally, where the industrial system is a crystal pulling system, the functional subsystem comprises a crystal lifting subsystem, the detection parameters include: the system comprises a crystal lifting speed deviation, communication information representing the crystal lifting communication condition and second operation information representing the operation condition of an encoder, wherein the crystal lifting speed deviation comprises a difference value between a crystal lifting speed set value and a crystal lifting speed detection value;
the detection item corresponding parameter combination comprises:
the crystal lifting motor detection item corresponds to the crystal lifting speed deviation and the communication information;
the encoder detects the crystal rise speed deviation, the communication information and the second operation information corresponding to the detection items;
the detection module 73 is specifically configured to, when the deviation of the crystal lifting speed is greater than the third threshold value and the communication information indicates that the crystal lifting communication is abnormal, detect a detection item of the crystal lifting motor as the abnormal crystal lifting motor; and under the conditions that the deviation of the crystal lifting speed is smaller than or equal to a third threshold value, the communication information represents that the crystal lifting communication is normal, the second operation information represents that the position of the encoder is unchanged and the signal input is normal, the detection result of the encoder detection item is that the encoder is abnormal.
Optionally, each functional subsystem corresponds to a plurality of detection items in preset self-checking information;
the determining unit is specifically configured to determine, for each functional subsystem, each detection result corresponding to the functional subsystem based on each detection item corresponding to the functional subsystem; combining detection results corresponding to the functional subsystems aiming at each functional subsystem to obtain a detection result combination corresponding to the functional subsystems; and aiming at each functional subsystem, determining the self-checking result of the functional subsystem according to the corresponding detection result combination of the functional subsystem.
Optionally, the detection parameters of the detection points in each detection point combination are different types of parameters.
The device for power-on self-test provided by the embodiment of the invention can realize each process realized by the method for power-on self-test in the method embodiments of fig. 1 to 6, and in order to avoid repetition, the description is omitted.
In the embodiment of the invention, under the condition of starting the industrial system, the detection parameters of each of a plurality of detection points in the industrial system are acquired, wherein the starting operation is a precondition in a starting self-checking flow, and the starting of the industrial system is the execution of the starting operation by the industrial system. Based on preset self-checking information, the detection parameters of all detection points are combined according to the detection point combination corresponding to each detection item, so that the parameter combination corresponding to each detection item is obtained, and further, according to each parameter combination, the detection result of the detection item corresponding to the parameter combination is determined according to the parameter combination. That is, the detection parameters of each of the plurality of detection points are combined to determine a detection item. And finally, obtaining self-checking result information of the industrial system based on the detection results of all the detection items. Compared with the method for judging the abnormal condition of the detection point by adopting the detection parameters of the single detection point, the method and the device for judging the abnormal condition of the industrial system based on the detection parameters of the plurality of detection points can obtain more accurate detection results, and the self-detection result information contains more accurate operation conditions of the industrial system.
In another aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, a bus, and a computer program stored in the memory and capable of running on the processor, where the steps in the method for performing the power-on self-test described above are implemented when the processor executes the program.
For example, fig. 8 shows a schematic physical structure of an electronic device.
As shown in fig. 8, the electronic device may include: processor 810, communication interface (Communications Interface) 820, memory 830, and communication bus 840, wherein processor 810, communication interface 820, memory 830 accomplish communication with each other through communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform the following method:
under the condition of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system;
combining detection parameters of all detection points according to detection point combinations corresponding to all detection items in preset self-detection information to obtain parameter combinations corresponding to all detection items; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
For each parameter combination, determining a detection result of a detection item of the corresponding parameter combination according to the parameter combination;
and generating self-checking result information of the industrial system according to the detection results of the detection items.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In still another aspect, an embodiment of the present invention further provides a computer readable storage medium having a computer program stored thereon, where the computer program is implemented when executed by a processor to perform a method for performing the power-on self-test provided in the foregoing embodiments, for example, including:
Under the condition of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system;
combining detection parameters of all detection points according to detection point combinations corresponding to all detection items in preset self-detection information to obtain parameter combinations corresponding to all detection items; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
for each parameter combination, determining a detection result of a detection item of the corresponding parameter combination according to the parameter combination;
and generating self-checking result information of the industrial system according to the detection results of the detection items.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for power-on self-test, characterized by being applied to an industrial system, the method comprising:
under the condition of starting the industrial system, acquiring detection parameters of each of a plurality of detection points in the industrial system;
combining the detection parameters of each detection point according to the detection point combination corresponding to each detection item in preset self-detection information to obtain the parameter combination corresponding to each detection item; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
for each parameter combination, determining a detection result of the detection item corresponding to the parameter combination according to the parameter combination;
and generating self-checking result information of the industrial system according to the detection result of each detection item.
2. The method according to claim 1, wherein the acquiring the detection parameters of each of the plurality of detection points in the industrial system in the case of starting the industrial system comprises:
under the condition of starting each functional subsystem of the industrial system, acquiring respective detection parameters of a plurality of detection points in each functional subsystem;
Generating self-checking result information of the industrial system according to the detection result of each detection item, including:
determining a self-checking result of each functional subsystem according to the detection result of each detection item;
and generating self-checking result information of the industrial system according to the self-checking result of each functional subsystem.
3. The method of claim 2, wherein, in the case where the industrial system is a crystal pulling system and the functional subsystem comprises an inert gas subsystem, the sensed parameter comprises: inert gas flow deviation, inert gas pressure and furnace pressure, wherein the inert gas flow deviation comprises a difference value between an inert gas flow set value and an inert gas flow detection value;
the detection item corresponding parameter combination comprises:
the inert gas flow deviation and the inert gas pressure corresponding to the inert gas pipeline detection items;
the inert gas flow deviation, the inert gas pressure and the furnace pressure corresponding to the furnace pressure detection item;
the step of determining the detection result of the detection item corresponding to the parameter combination according to the parameter combination comprises the following steps:
when the inert gas flow deviation is larger than a first threshold value and the condition that the inert gas pressure changes along with time does not accord with a first target change curve, the detection result of the inert gas pipeline detection item is that an inert gas pipeline is abnormal;
And when the deviation of the inert gas flow is smaller than or equal to a first threshold value, the condition of the inert gas pressure changing along with time accords with a first target change curve, and the condition of the furnace pressure changing along with time does not accord with a second target change curve, the detection result of the furnace pressure detection item is that the flowmeter is abnormal.
4. The method of claim 2, wherein, in the case where the industrial system is a crystal pulling system and the functional subsystem includes a heating subsystem, the sensed parameter comprises: the power supply cabinet comprises heating power deviation, first operation information representing the operation condition of the power supply cabinet and furnace temperature, wherein the heating power deviation comprises a difference value between a heater power set value and a heater power detection value;
the detection item corresponding parameter combination comprises:
the heating power deviation and the first operation information corresponding to the power cabinet detection item;
the heating power deviation, the first operation information and the furnace temperature corresponding to the heater detection item;
the step of determining the detection result of the detection item corresponding to the parameter combination according to the parameter combination comprises the following steps:
when the heating power deviation is larger than a second threshold value and the first operation information represents that the power cabinet is abnormal, the detection result of the power cabinet detection item is that the power cabinet is abnormal;
And when the heating power deviation is smaller than or equal to a second threshold value, the first operation information represents that the power cabinet is normal, and the condition that the furnace temperature changes along with time does not accord with a third target change curve, the detection result of the heater detection item is that the heater is abnormal.
5. The method of claim 2, wherein, in the case where the industrial system is a crystal pulling system and the functional subsystem comprises a crystal lifting subsystem, the detection parameters comprise: the system comprises a crystal lifting speed deviation, communication information representing the crystal lifting communication condition and second operation information representing the operation condition of an encoder, wherein the crystal lifting speed deviation comprises a difference value between a crystal lifting speed set value and a crystal lifting speed detection value;
the detection item corresponding parameter combination comprises:
the crystal lifting speed deviation corresponding to the crystal lifting motor detection item and the communication information;
the encoder detects the crystal rise speed deviation, the communication information and the second operation information corresponding to the detection item;
the step of determining the detection result of the detection item corresponding to the parameter combination according to the parameter combination comprises the following steps:
under the condition that the crystal lifting speed deviation is larger than a third threshold value and the communication information represents abnormal crystal lifting communication, the detection result of the crystal lifting motor detection item is abnormal crystal lifting motor;
And under the conditions that the deviation of the crystal lifting speed is smaller than or equal to a third threshold value, the communication information represents that the crystal lifting communication is normal, the second operation information represents that the position of the encoder is unchanged and the signal input is normal, the detection result of the encoder detection item is that the encoder is abnormal.
6. The method of claim 2, wherein each of the functional subsystems corresponds to a plurality of detection items in the preset self-test information;
the determining the self-checking result of each functional subsystem according to the detection result of each detection item comprises the following steps:
determining each detection result corresponding to each functional subsystem based on each detection item corresponding to the functional subsystem;
combining detection results corresponding to the functional subsystems aiming at each functional subsystem to obtain a detection result combination corresponding to the functional subsystems;
and aiming at each functional subsystem, determining a self-checking result of the functional subsystem according to the detection result combination corresponding to the functional subsystem.
7. The method of claim 1, wherein the inspection parameters of the inspection points in each of the inspection point combinations are different types of parameters.
8. A device for power-on self-test, characterized by being applied to an industrial system, the device comprising:
the acquisition module is used for acquiring detection parameters of each of a plurality of detection points in the industrial system under the condition of starting the industrial system;
the combination module is used for combining the detection parameters of each detection point according to the detection point combination corresponding to each detection item in the preset self-detection information to obtain the parameter combination corresponding to each detection item; wherein the detection point combination corresponding to the detection item comprises a combination composed of a plurality of detection points for determining whether the detection item is abnormal;
the detection module is used for determining a detection result of the detection item corresponding to each parameter combination according to the parameter combination;
and the generating module is used for generating self-checking result information of the industrial system according to the detection result of each detection item.
9. An electronic device comprising a memory, a processor, a bus, and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method of power-on self-test of any one of claims 1 to 7 when the program is executed by the processor.
10. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the method of power-on self-test according to any of claims 1 to 7.
CN202111537636.6A 2021-12-15 2021-12-15 Method and device for starting self-checking and electronic equipment Pending CN116263720A (en)

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CN202111537636.6A CN116263720A (en) 2021-12-15 2021-12-15 Method and device for starting self-checking and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111537636.6A CN116263720A (en) 2021-12-15 2021-12-15 Method and device for starting self-checking and electronic equipment

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Publication Number Publication Date
CN116263720A true CN116263720A (en) 2023-06-16

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Country Link
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