CN114295155A - Microprocessing monitoring method, microprocessing monitoring device, microprocessing monitoring equipment and storage medium for electrical equipment - Google Patents
Microprocessing monitoring method, microprocessing monitoring device, microprocessing monitoring equipment and storage medium for electrical equipment Download PDFInfo
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Abstract
The invention discloses a microprocessing monitoring method, a microprocessing monitoring device, microprocessing monitoring equipment and a storage medium of electrical equipment, wherein the method comprises the following steps of: acquiring real-time temperature data, real-time current data and real-time resistance data of electrical equipment to be monitored; judging whether the real-time temperature data is larger than a preset temperature threshold value or not; if the real-time temperature data is larger than the preset temperature threshold, judging whether the real-time current data is larger than a preset current threshold and/or whether the real-time resistance data is larger than a preset resistance threshold; and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment. The method and the device have the advantages that the operation state of the electrical equipment is firstly preliminarily judged from a temperature level, and when the real-time temperature is greater than the preset threshold value, the operation state of the electrical equipment is further monitored from the aspects of current and resistance, so that the judgment basis is more comprehensive, and the misjudgment can be effectively avoided.
Description
Technical Field
The invention relates to the technical field of equipment monitoring, in particular to a microprocessing monitoring method, a microprocessing monitoring device, microprocessing monitoring equipment and a storage medium of electrical equipment.
Background
In the related art, the traditional monitoring method judges the operating state of the electrical equipment only through temperature information, and the judgment basis is too single, which often results in misjudgment of the operating state of the electrical equipment.
Disclosure of Invention
The embodiment of the invention provides a microprocessing monitoring method, a microprocessing monitoring device, microprocessing monitoring equipment and a storage medium of electrical equipment, and solves the problems that the judgment basis is too single and misjudgment is easy to occur when the running state of the electrical equipment is monitored in the prior art.
According to a first aspect of the present invention, there is provided an electrical device microprocessor monitoring method, comprising:
acquiring real-time temperature data, real-time current data and real-time resistance data of electrical equipment to be monitored;
judging whether the real-time temperature data is larger than a preset temperature threshold value or not;
if the real-time temperature data is larger than the preset temperature threshold, judging whether the real-time current data is larger than a preset current threshold and/or whether the real-time resistance data is larger than a preset resistance threshold;
and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment.
Optionally, before the obtaining of the real-time temperature data, the real-time current data, and the real-time resistance data of the electrical device to be monitored, the method further includes:
acquiring a real-time temperature signal, a real-time current signal and a real-time resistance signal which are acquired by a signal acquisition module;
carrying out differential amplification processing on the real-time temperature signal, the real-time current signal and the real-time resistance signal to obtain a first temperature signal, a first current signal and a first resistance signal after differential amplification;
filtering and denoising the first temperature signal, the first current signal and the first resistance signal after differential amplification to obtain a denoised second temperature signal, a denoised second current signal and a denoised second resistance signal;
modulating and demodulating the denoised second temperature signal, second current signal and second resistance signal to obtain a temperature analog signal, a current analog signal and a resistance analog signal;
the real-time temperature data, the real-time current data and the real-time resistance data of the electrical equipment to be monitored are acquired, and the method comprises the following steps:
and carrying out digital calculation on the temperature analog signal, the current analog signal and the resistance analog signal to obtain the real-time temperature data, the real-time current data and the real-time resistance data.
Optionally, if the real-time current data is greater than the preset current threshold and/or the real-time resistance data is greater than the preset resistance threshold, after the electrical device to be monitored is determined to be an abnormal device, the method further includes:
and controlling the abnormal equipment to be closed.
Optionally, if the real-time current data is greater than the preset current threshold and/or the real-time resistance data is greater than the preset resistance threshold, after the electrical device to be monitored is determined to be an abnormal device, the method further includes:
and generating an abnormity early warning alarm according to the abnormal equipment and the real-time temperature data, the real-time current data and the real-time resistance data of the abnormal equipment.
Optionally, after generating an abnormal early warning alarm according to the abnormal device and the real-time temperature data, the real-time current data, and the real-time resistance data of the abnormal device, the method further includes:
generating a maintenance instruction according to the abnormity early warning alarm;
and sending the maintenance instruction to a maintenance platform to complete the maintenance of the abnormal equipment.
Optionally, after determining whether the real-time temperature data is greater than a preset temperature threshold, the method further includes:
and if the real-time temperature data is smaller than or equal to the preset temperature threshold, judging that the electrical equipment to be monitored normally operates.
Optionally, after the determining whether the real-time temperature data is greater than the preset temperature threshold and/or whether the real-time resistance data is greater than the preset resistance threshold, the method further includes:
and if the real-time current data is smaller than or equal to the preset current threshold value and the real-time resistance data is smaller than or equal to the preset resistance threshold value, judging that the electrical equipment to be monitored normally operates.
According to a second aspect of the present invention, there is provided an electrical equipment microprocessor monitoring apparatus comprising:
the data acquisition module is used for acquiring real-time temperature data, real-time current data and real-time resistance data of the electrical equipment to be monitored;
the first judgment module is used for judging whether the real-time temperature data is greater than a preset temperature threshold value or not;
the second judgment module is used for judging whether the real-time current data is greater than a preset current threshold value and/or whether the real-time resistance data is greater than a preset resistance threshold value if the real-time temperature data is greater than the preset temperature threshold value;
and the abnormity judging module is used for determining the electrical equipment to be monitored as abnormal equipment if the real-time current data is greater than the preset current threshold value and/or the real-time resistance data is greater than the preset resistance threshold value.
According to a third aspect of the present invention, there is provided an electrical equipment microprocessor monitoring apparatus comprising: a memory, a processor and an electrical device microprocessor monitoring program stored on the memory and executable on the processor, the electrical device microprocessor monitoring program implementing the steps described in any one of the possible implementations of the first or second aspect when executed by the processor.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium having stored thereon an electrical device microprocessor monitoring program which, when executed by a processor, implements the steps described in any one of the possible implementations of the first or second aspect.
The embodiment of the invention provides a method, a device, equipment and a storage medium for monitoring electrical equipment microprocessing, wherein real-time temperature data, real-time current data and real-time resistance data of electrical equipment to be monitored are acquired through electrical equipment microprocessing monitoring equipment; judging whether the real-time temperature data is larger than a preset temperature threshold value or not; if the real-time temperature data is larger than the preset temperature threshold, judging whether the real-time current data is larger than a preset current threshold and/or whether the real-time resistance data is larger than a preset resistance threshold; and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment.
The method comprises the steps of acquiring real-time temperature data, real-time current data and real-time resistance data of the electrical equipment to be monitored; judging whether the real-time temperature data is larger than a preset temperature threshold value or not; if the real-time temperature data is larger than the preset temperature threshold, further judging whether the real-time current data is larger than the preset current threshold and/or whether the real-time resistance data is larger than the preset resistance threshold; and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment. The method is different from the situation that the running state of the electrical equipment is monitored only through temperature information in the prior art, the judgment basis is too single, and misjudgment on the running state of the electrical equipment is often caused.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an electrical device microprocessor monitoring device in a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a microprocessor monitoring method for an electrical device according to a first embodiment of the present invention;
fig. 3 is a schematic flowchart of the step S201 in fig. 2;
FIG. 4 is a schematic flowchart of FIG. 2 after S204;
fig. 5 is a schematic functional block diagram of a microprocessor monitoring device for electrical equipment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: acquiring real-time temperature data, real-time current data and real-time resistance data of electrical equipment to be monitored; judging whether the real-time temperature data is larger than a preset temperature threshold value or not; if the real-time temperature data is larger than the preset temperature threshold, judging whether the real-time current data is larger than a preset current threshold and/or whether the real-time resistance data is larger than a preset resistance threshold; and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment.
In the prior art, the operating state of the electrical equipment is monitored only through temperature information, and the judgment basis is too single, so that misjudgment on the operating state of the electrical equipment is often caused.
The invention provides a solution, which is used for electrical equipment microprocessing monitoring equipment, and the electrical equipment microprocessing monitoring equipment is used for acquiring real-time temperature data, real-time current data and real-time resistance data of electrical equipment to be monitored; firstly, judging whether real-time temperature data is greater than a preset temperature threshold value; if the real-time temperature data is larger than the preset temperature threshold, further judging whether the real-time current data is larger than the preset current threshold and/or whether the real-time resistance data is larger than the preset resistance threshold; and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment. The method is different from the situation that the running state of the electrical equipment is monitored only through temperature information in the prior art, the judgment basis is too single, and misjudgment on the running state of the electrical equipment is often caused.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Where "first" and "second" are used in the description and claims of embodiments of the invention to distinguish between similar elements and not necessarily for describing a particular sequential or chronological order, it is to be understood that such data may be interchanged where appropriate so that embodiments described herein may be implemented in other sequences than those illustrated or described herein.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electrical device microprocessor monitoring device in a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the electrical device microprocessor monitoring device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the electrical device microprocessor monitoring device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a storage medium, may include an operating system, a data acquisition module, an analysis and judgment module, an abnormality judgment module, and an electrical device microprocessing monitoring program, where the analysis and judgment module may be further subdivided into a first judgment module and a second judgment module.
In the electrical device microprocessor monitoring device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the electrical device microprocessor monitoring device according to the present invention may be disposed in the electrical device microprocessor monitoring device, and the electrical device microprocessor monitoring device calls the electrical device microprocessor monitoring program stored in the memory 1005 through the processor 1001, and executes the electrical device microprocessor monitoring method provided in the embodiment of the present application.
Based on the above hardware structure but not limited to the above hardware structure, the present invention provides a first embodiment of a microprocessor monitoring method for electrical devices. Referring to fig. 2, fig. 2 is a schematic flow chart of a microprocessor monitoring method for electrical equipment according to a first embodiment of the present invention.
In this embodiment, the method includes:
step S201, acquiring real-time temperature data, real-time current data and real-time resistance data of the electrical equipment to be monitored;
in this embodiment, the execution main body is electrical equipment micro-processing monitoring equipment, a signal acquisition module is arranged in the electrical equipment micro-processing monitoring equipment, the signal acquisition module comprises a plurality of current sensors, a resistance sensor and a temperature sensor, and can be used for acquiring real-time temperature signals, real-time current signals and real-time resistance signals of equipment to be monitored, and then a series of processing is performed on the acquired original signals in the electrical equipment micro-processing monitoring equipment so as to obtain real-time temperature data, real-time current data and real-time resistance data which are convenient for subsequent comparison.
Step S202, judging whether the real-time temperature data is greater than a preset temperature threshold value;
when the electrical equipment operates, heating phenomena such as resistance loss heating, iron loss heating, dielectric loss heating and the like are generated under the action of current and voltage, the heating phenomena are more obvious when the electrical equipment operates abnormally, the heating under the allowed charge is also one of main faults of the electrical equipment, and the heating inevitably causes the rise of temperature, so the temperature can be used as an important basis for judging the operating state of the electrical equipment. In this embodiment, when the real-time temperature data of the electrical device to be monitored is greater than the preset temperature threshold, it may be preliminarily determined that the operating state of the electrical device to be monitored may be abnormal. The preset temperature threshold value can be set according to actual requirements.
Step S203, if the real-time temperature data is greater than the preset temperature threshold, judging whether the real-time current data is greater than a preset current threshold and/or whether the real-time resistance data is greater than a preset resistance threshold;
if the real-time temperature data is greater than the preset temperature threshold, it indicates that the temperature of the electrical device to be monitored is abnormal, that is, it may be caused by an abnormal operating state, but the temperature of the electrical device is affected only by the operating state of the electrical device itself, for example, when the ambient temperature is too high in a high-temperature weather, the real-time temperature may be detected to be too high even if the electrical device is normally operated, and therefore, the operating state of the electrical device cannot be determined simply by the temperature data.
In the case of an electrical device, the amount of heat generated by the device during operation is mainly related to the current and resistance during operation, and the larger the current and resistance is, the more heat is generated. When an electrical device fails, an increase in current or resistance is accompanied, and the amount of heat generation tends to increase. Therefore, in order to further confirm the operating state of the electrical device after the determination using the temperature, it is necessary to determine again from the viewpoint of the current and the resistance. Among them, the main cause of the increase in current in electrical equipment is short-circuiting of the circuit; the main causes of the increase in the circuit resistance of the electrical equipment include an increase in the contact resistance of the conductor connecting portion due to an improper pressing force of a pressing bolt or a pressing spring at the conductor connecting portion, an uneven contact surface between the conductors, oxidation, dust deposition, and the like. The preset current threshold and the preset resistance threshold can be set according to actual requirements.
Step S204, if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment;
in the case of an electrical device, the amount of heat generated by the device during operation is mainly related to the current and resistance during operation, and the larger the current and resistance is, the more heat is generated. When an electrical device fails, an increase in current or resistance is accompanied, and the amount of heat generation tends to increase. Therefore, if the real-time current data of the electrical equipment to be monitored is larger than the preset current threshold and/or the real-time resistance data is larger than the preset resistance threshold, that is, as long as at least one of the current data and the resistance data exceeds the normal range, it is indicated that the temperature abnormality is actually caused by the abnormal operation state of the electrical equipment, so that the actual operation abnormality of the electrical equipment can be further determined.
Step S205, if the real-time temperature data is less than or equal to the preset temperature threshold, determining that the electrical equipment to be monitored normally operates;
as described above, when the malfunction operation of the electrical device is abnormal, the amount of heat generation is increased, that is, the real-time temperature of the electrical device is increased, so that if the real-time temperature of the electrical device is monitored to be maintained at a normal level, it can be determined that the electrical device is operating normally.
Step S206, if the real-time current data is less than or equal to the preset current threshold value and the real-time resistance data is less than or equal to the preset resistance threshold value, determining that the electrical equipment to be monitored normally operates.
As described above, the increase in the amount of heat generated when an electrical device fails is mainly caused by an increase in current or resistance. If the abnormality of the current or the resistance is not detected after the temperature abnormality is detected, it is determined that the temperature abnormality is caused by an external factor such as an ambient temperature, not by an operation abnormality of the electrical device itself. In this case, even if the temperature abnormality is detected in advance, it is not possible to determine that the operating state of the electrical device is abnormal.
The state detection is further carried out from the angles of current and resistance on the basis of temperature detection, so that the abnormal temperature of the electrical equipment can be more accurately judged whether caused by environmental factors or self faults, the running state of the electrical equipment is further confirmed, and the misjudgment is effectively avoided.
Further, referring to fig. 3, fig. 3 is a schematic flowchart of a process before step S201 in fig. 2, before the acquiring real-time temperature data, real-time current data, and real-time resistance data of the electrical device to be monitored, the method further includes:
step S301, acquiring a real-time temperature signal, a real-time current signal and a real-time resistance signal which are acquired by a signal acquisition module;
in this embodiment, the execution main body is an electrical device micro-processing monitoring device, a signal acquisition module is arranged in the electrical device micro-processing monitoring device, a temperature sensor, a current sensor and a resistance sensor are deployed on the electrical device to be monitored, and the signal acquisition module can acquire signals transmitted by the sensors, so as to acquire real-time temperature signals, real-time current signals and real-time resistance signals of the electrical device to be monitored.
Step S302, carrying out differential amplification processing on the real-time temperature signal, the real-time current signal and the real-time resistance signal to obtain a first temperature signal, a first current signal and a first resistance signal after differential amplification;
for the original real-time temperature signal, the real-time current signal and the real-time resistance signal which are acquired, the signal acquired by the sensor is often weak and is easily influenced by the external environment, so that the acquired signal needs to be subjected to differential amplification processing. The differential amplification can effectively suppress common-mode signals without affecting differential-mode signals, namely, can suppress the influence of environmental factors such as temperature and noise, and simultaneously retain useful electric signals.
Step S303, filtering and denoising the first temperature signal, the first current signal and the first resistance signal after differential amplification to obtain a denoised second temperature signal, a denoised second current signal and a denoised second resistance signal;
after the differential amplification process is performed to suppress the common mode signal, the signal after the differential amplification process is subjected to denoising process, and noise, which is one of the most common interference factors in the signal processing, significantly affects the subsequent processing process and the processing result, so that the obtained signal needs to be denoised. In this embodiment, the signal may be denoised by a low-pass filter or a high-pass filter.
Step S304, performing modulation and demodulation on the denoised second temperature signal, second current signal and second resistance signal to obtain a temperature analog signal, a current analog signal and a resistance analog signal.
The denoised second temperature signal, the denoised second current signal and the denoised second resistance signal have low general frequency and are easily interfered by the outside in the transmission process, so the denoised signal needs to be modulated by a high-frequency carrier wave, and the denoised signal is suitable for being transmitted in a channel and is not easily interfered by the outside; correspondingly, after the transmission is finished, the high-frequency modulation signal is demodulated into the required temperature analog signal, current analog signal and resistance analog signal through demodulation. The common modulation method comprises amplitude modulation, frequency modulation and phase modulation; accordingly, commonly used demodulation methods include amplitude demodulation, frequency demodulation, and phase demodulation.
In addition, since the analog signal is a curve that continuously changes with time, it is not convenient to compare with a preset threshold in the subsequent process, so after the temperature analog signal, the current analog signal and the resistance analog signal are obtained, the analog signals need to be digitally calculated to obtain a time-discretized digital signal, i.e. a series of data. The basic steps of the digital computation are sampling, quantization and encoding.
Therefore, the influence of external factors such as environment temperature, noise and the like on signal processing and subsequent judgment can be effectively removed, and finally, a time discretization digital signal is obtained, so that the subsequent comparison and judgment are facilitated.
Further, referring to fig. 4, fig. 4 is a schematic flowchart after the step of S204 in fig. 2; if the real-time current data is greater than the preset current threshold value and/or the real-time resistance data is greater than the preset resistance threshold value, the method further includes the following steps that after the electrical equipment to be monitored is determined to be abnormal equipment:
step S401, generating an abnormity early warning alarm according to the abnormal equipment and the real-time temperature data, the real-time current data and the real-time resistance data of the abnormal equipment;
after the abnormal equipment is determined, the abnormal equipment is controlled to stop running, then abnormal early warning alarms are generated, the abnormal early warning alarms comprise the abnormal equipment and information such as real-time temperature data, real-time current data and real-time resistance data of the abnormal equipment, the abnormal early warning alarms are sent to an equipment management platform, and managers can log in the equipment management platform to check the abnormal early warning alarms and relevant information.
Step S402, generating a maintenance instruction according to the abnormity early warning alarm;
and after receiving the abnormal early warning alarm, generating a corresponding maintenance instruction according to the abnormal equipment reported in the abnormal early warning alarm and the abnormal data and state of the abnormal equipment.
Step S403, sending the maintenance instruction to a maintenance platform to complete maintenance of the abnormal device.
And after the maintenance instruction is obtained, sending the maintenance instruction to a maintenance platform, and then arranging personnel to perform maintenance according to the abnormal equipment information in the maintenance instruction. In addition, for each abnormal device, the position of the abnormal device is marked through three-dimensional map software to obtain a three-dimensional map, so that maintenance personnel can conveniently carry out field maintenance. And finally, after the maintenance is finished, the maintenance personnel feed back the maintenance result to the maintenance platform.
Based on the same inventive concept, an embodiment of the present invention further provides a microprocessor monitoring apparatus for electrical devices, as shown in fig. 5, including:
the data acquisition module is used for acquiring real-time temperature data, real-time current data and real-time resistance data of the electrical equipment to be monitored;
the first judgment module is used for judging whether the real-time temperature data is greater than a preset temperature threshold value or not;
the second judgment module is used for judging whether the real-time current data is greater than a preset current threshold value and/or whether the real-time resistance data is greater than a preset resistance threshold value if the real-time temperature data is greater than the preset temperature threshold value;
and the abnormity judging module is used for determining the electrical equipment to be monitored as abnormal equipment if the real-time current data is greater than the preset current threshold value and/or the real-time resistance data is greater than the preset resistance threshold value.
As an alternative embodiment, the microprocessor monitoring device of the electrical equipment may further include:
and the differential amplification module is used for carrying out differential amplification processing on the real-time temperature signal, the real-time current signal and the real-time resistance signal to obtain a first temperature signal, a first current signal and a first resistance signal after differential amplification.
As an alternative embodiment, the microprocessor monitoring device of the electrical equipment may further include:
and the filtering and denoising module is used for filtering and denoising the first temperature signal, the first current signal and the first resistance signal after differential amplification to obtain a denoised second temperature signal, a denoised second current signal and a denoised second resistance signal.
As an alternative embodiment, the microprocessor monitoring device of the electrical equipment may further include:
and the modulation and demodulation module is used for modulating and demodulating the denoised second temperature signal, second current signal and second resistance signal to obtain a temperature analog signal, a current analog signal and a resistance analog signal.
As an alternative embodiment, the microprocessor monitoring device of the electrical equipment may further include:
and the edge calculation module is used for carrying out digital calculation on the temperature analog signal, the current analog signal and the resistance analog signal to obtain the real-time temperature data, the real-time current data and the real-time resistance data.
As an alternative embodiment, the microprocessor monitoring device of the electrical equipment may further include:
and the abnormity early warning module is used for generating an abnormity early warning alarm according to the abnormal equipment and the real-time temperature data, the real-time current data and the real-time resistance data of the abnormal equipment.
Furthermore, in an embodiment, the present application further provides a computer storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the steps of the method in the foregoing first embodiment.
In some embodiments, the computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash, magnetic surface memory, optical disk, or CD-ROM; or may be various devices including one or any combination of the above memories. The computer may be a variety of computing devices including intelligent terminals and servers.
In some embodiments, executable instructions may be written in any form of programming language (including compiled or interpreted languages), in the form of programs, software modules, scripts or code, and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
By way of example, executable instructions may correspond, but do not necessarily have to correspond, to files in a file system, may be stored in a portion of a file that holds other programs or data, e.g., in one or more scripts in a hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).
By way of example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A microprocessing monitoring method for electrical equipment, the method comprising the steps of:
acquiring real-time temperature data, real-time current data and real-time resistance data of electrical equipment to be monitored;
judging whether the real-time temperature data is larger than a preset temperature threshold value or not;
if the real-time temperature data is larger than the preset temperature threshold, judging whether the real-time current data is larger than a preset current threshold and/or whether the real-time resistance data is larger than a preset resistance threshold;
and if the real-time current data is larger than the preset current threshold value and/or the real-time resistance data is larger than the preset resistance threshold value, determining the electrical equipment to be monitored as abnormal equipment.
2. The method of claim 1, wherein prior to obtaining real-time temperature data, real-time current data, and real-time resistance data for the electrical device to be monitored, the method further comprises:
acquiring a real-time temperature signal, a real-time current signal and a real-time resistance signal which are acquired by a signal acquisition module;
carrying out differential amplification processing on the real-time temperature signal, the real-time current signal and the real-time resistance signal to obtain a first temperature signal, a first current signal and a first resistance signal after differential amplification;
filtering and denoising the first temperature signal, the first current signal and the first resistance signal after differential amplification to obtain a denoised second temperature signal, a denoised second current signal and a denoised second resistance signal;
modulating and demodulating the denoised second temperature signal, second current signal and second resistance signal to obtain a temperature analog signal, a current analog signal and a resistance analog signal;
the real-time temperature data, the real-time current data and the real-time resistance data of the electrical equipment to be monitored are acquired, and the method comprises the following steps:
and carrying out digital calculation on the temperature analog signal, the current analog signal and the resistance analog signal to obtain the real-time temperature data, the real-time current data and the real-time resistance data.
3. The method according to claim 1, wherein if the real-time current data is greater than the preset current threshold and/or the real-time resistance data is greater than the preset resistance threshold, after the electrical device to be monitored is determined to be an abnormal device, the method further comprises:
and controlling the abnormal equipment to be closed.
4. The method according to claim 1 or 3, wherein if the real-time current data is greater than the preset current threshold and/or the real-time resistance data is greater than the preset resistance threshold, after the electrical device to be monitored is determined to be an abnormal device, the method further comprises:
and generating an abnormity early warning alarm according to the abnormal equipment and the real-time temperature data, the real-time current data and the real-time resistance data of the abnormal equipment.
5. The method of claim 4, wherein after generating an anomaly early warning alarm based on the anomaly device and real-time temperature data, real-time current data, and real-time resistance data of the anomaly device, the method further comprises:
generating a maintenance instruction according to the abnormity early warning alarm;
and sending the maintenance instruction to a maintenance platform to complete the maintenance of the abnormal equipment.
6. The method of claim 1, wherein after determining whether the real-time temperature data is greater than a preset temperature threshold, the method further comprises:
and if the real-time temperature data is smaller than or equal to the preset temperature threshold, judging that the electrical equipment to be monitored normally operates.
7. The method of claim 1, wherein after determining whether the real-time temperature data is greater than the preset temperature threshold and/or whether the real-time resistance data is greater than a preset resistance threshold, the method further comprises:
and if the real-time current data is smaller than or equal to the preset current threshold value and the real-time resistance data is smaller than or equal to the preset resistance threshold value, judging that the electrical equipment to be monitored normally operates.
8. An electrical equipment microprocessor monitoring device, the device comprising:
the data acquisition module is used for acquiring real-time temperature data, real-time current data and real-time resistance data of the electrical equipment to be monitored;
the first judgment module is used for judging whether the real-time temperature data is greater than a preset temperature threshold value or not;
the second judgment module is used for judging whether the real-time current data is greater than a preset current threshold value and/or whether the real-time resistance data is greater than a preset resistance threshold value if the real-time temperature data is greater than the preset temperature threshold value;
and the abnormity judging module is used for determining the electrical equipment to be monitored as abnormal equipment if the real-time current data is greater than the preset current threshold value and/or the real-time resistance data is greater than the preset resistance threshold value.
9. An electrical device microprocessor monitoring device comprising a memory, a processor and an electrical device microprocessor monitoring program stored on the memory and executable on the processor, the electrical device microprocessor monitoring program when executed by the processor implementing the steps of the electrical device microprocessor monitoring method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon an electrical device microprocessor monitoring program which, when executed by a processor, implements the steps of the electrical device microprocessor monitoring method according to any one of claims 1 to 7.
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