CN115856511A - Equipment working condition detection method, equipment working condition detection device and terminal equipment - Google Patents

Equipment working condition detection method, equipment working condition detection device and terminal equipment Download PDF

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CN115856511A
CN115856511A CN202211652637.XA CN202211652637A CN115856511A CN 115856511 A CN115856511 A CN 115856511A CN 202211652637 A CN202211652637 A CN 202211652637A CN 115856511 A CN115856511 A CN 115856511A
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voltage
sine wave
calculating
equipment
period
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钱永亮
冯跃
唐明淑
李开平
段永生
杨勇
宋鑫源
窦体权
解迎桥
张宇宸
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Wenshan Power Supply Bureau of Yunnan Power Grid Co Ltd
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Wenshan Power Supply Bureau of Yunnan Power Grid Co Ltd
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Abstract

The invention is suitable for the technical field of power grid detection, and provides a detection method of equipment working conditions, a detection device and terminal equipment, wherein the detection method of the equipment working conditions comprises the following steps: calculating the difference value between the voltage root mean square values corresponding to the sine wave in the first half period and the sine wave in the second half period of the first period according to the plurality of acquisition points; calculating voltage fluctuation quantity between adjacent periodic sine waves in a plurality of second periodic sine waves in the power grid voltage, and calculating an energy difference value index according to the voltage fluctuation quantity; and determining whether the equipment has a fault according to the difference and the energy difference index. According to the scheme, the difference value and the energy difference value index between the voltage root mean square values are calculated respectively, and whether the equipment fails or not is determined according to the difference value and the energy difference value index. Whether equipment breaks down or not is judged according to the calculation results of multiple dimensions, so that the running state of the equipment can be well evaluated, the equipment is maintained in time, and the monitoring stability of the equipment is improved.

Description

Equipment working condition detection method, equipment working condition detection device and terminal equipment
Technical Field
The invention belongs to the technical field of power grid detection, and particularly relates to a method and a device for detecting equipment working conditions and terminal equipment.
Background
The quality of electric energy refers to the degree to which the voltage, frequency and waveform of the power supply system meet established specifications. Good power quality can be defined as a supply voltage that is stable within a specified range, an ac frequency that is stable close to a nominal value, and a voltage profile that is smooth (sinusoidal-like).
For a power grid, power quality detection is particularly important. Random loads and distributed power sources are connected to the power grid in a large quantity, so that the operation mechanism of the power grid is more complex. Monitoring of power quality operation indicators, especially harmonics, of a power grid is becoming increasingly important. The monitoring of the power quality can be carried out through the power quality monitoring equipment, but the monitoring stability of the power quality monitoring equipment is poor due to the fact that the traditional technology cannot well evaluate the operation condition of the power quality monitoring equipment.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method for detecting device operating conditions, a device for detecting device operating conditions, and a terminal device, so as to solve the technical problem that the monitoring stability of a power quality monitoring device is poor due to the fact that the operation condition of the power quality monitoring device cannot be well evaluated in the conventional technology.
The first aspect of the embodiments of the present invention provides a method for detecting an apparatus operating condition, where the method for detecting an apparatus operating condition includes:
acquiring a plurality of acquisition points in a single first-period sine wave in the voltage of a power grid, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave according to the plurality of acquisition points;
calculating voltage fluctuation quantity between adjacent periodic sine waves in a plurality of second periodic sine waves in the power grid voltage, and calculating an energy difference value index according to the voltage fluctuation quantity;
and determining whether the equipment has a fault according to the difference and the energy difference index.
Further, the step of acquiring a plurality of acquisition points in a single first-period sine wave in the grid voltage, and calculating a difference value between voltage root mean square values corresponding to a first half-period sine wave and a second half-period sine wave of the first-period sine wave according to the plurality of acquisition points includes:
acquiring a plurality of acquisition points in a single first period sine wave in a power grid;
calculating a first voltage root mean square value according to a plurality of first acquisition points corresponding to the sine waves of the first half period in the plurality of acquisition points;
calculating a second voltage root mean square value according to a plurality of second acquisition points corresponding to the sine wave of the second half period in the plurality of acquisition points;
calculating the difference between the first voltage root mean square value and the second voltage root mean square value.
Further, the step of calculating a first voltage root mean square value according to a plurality of first collection points corresponding to the sine wave of the previous half period of the plurality of collection points includes:
obtaining a first voltage root mean square value by using a plurality of first acquisition points according to a formula I;
the formula I is as follows:
Figure BDA0004011190200000021
wherein, U rms,front Representing the first voltage root mean square value, N representing the number of the plurality of acquisition points.
Further, the step of calculating a second voltage root mean square value according to a plurality of second collection points corresponding to the second half-cycle sine wave in the plurality of collection points includes:
obtaining a second voltage root mean square value by using a plurality of second acquisition points according to the following formula II;
the formula II is as follows:
Figure BDA0004011190200000022
wherein, U rms,behind Representing the second voltage root mean square value, N representing the number of the plurality of collection points.
Further, the step of calculating a voltage fluctuation amount between adjacent periodic sine waves in a plurality of second periodic sine waves in the grid voltage and calculating an energy difference index according to the voltage fluctuation amount includes:
acquiring a maximum voltage fluctuation amount and a minimum voltage fluctuation amount from the plurality of voltage fluctuation amounts;
substituting the maximum voltage fluctuation amount and the minimum voltage fluctuation amount into the following formula three and formula four to obtain a first energy value and a second energy value;
the formula III is as follows:
E up =U max (ΔU min (kT)) 2
the formula four is as follows:
E down =U min (ΔU max (k T)) 2
wherein E is up Representing said first energy value, E down Representing said second energy value, U min (kT) represents a kT-th amount of said voltage fluctuation;
substituting the first energy value and the second energy value into the following formula five to obtain the energy difference value index;
the formula is five:
Figure BDA0004011190200000031
wherein, γ 2 Representing the energy difference indicator.
Further, the step of determining whether the device is malfunctioning based on the difference and the energy difference indicator comprises:
substituting the difference value and the first threshold value into the following formula six to obtain a first probability; wherein the first probability is equal to 1 if the difference is not less than the first threshold;
formula six:
Figure BDA0004011190200000032
wherein, P 1 (t) represents the first probability, Δ U rms Represents said difference, γ 1 Representing the first threshold;
substituting the energy difference index and a second threshold value into a formula seven to obtain a second probability; wherein if the energy difference indicator is greater than the second threshold or the energy difference indicator is less than the third threshold, the second probability is equal to 1;
the formula seven:
Figure BDA0004011190200000041
wherein, P 2 (t) represents the second probability, γ 2 Representing the energy difference indicator, L representing the second threshold;
determining that the device is malfunctioning if a product between the first probability and the second probability is equal to 1.
Further, the method for detecting the working condition of the equipment further comprises the following steps:
substituting the product of the first probability and the second probability into the following formula eight to obtain a target detection period;
the formula eight:
Figure BDA0004011190200000042
wherein, T dy Representing the target detection period, P (t) representing the product, t inital Indicating a current detection period;
and circularly executing the step of acquiring a plurality of acquisition points in a single first period sine wave in the power grid voltage based on the target detection period, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first period according to the plurality of acquisition points.
A second aspect of the embodiments of the present invention provides a device for detecting operating conditions of equipment, including:
the acquisition unit is used for acquiring a plurality of acquisition points in a single first-period sine wave in the voltage of the power grid, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave according to the plurality of acquisition points;
the calculating unit is used for calculating voltage fluctuation quantity between sine waves of adjacent periods in a plurality of second period sine waves in the power grid voltage and calculating an energy difference value index according to the voltage fluctuation quantity;
and the determining unit is used for determining whether the equipment has a fault or not according to the difference value and the energy difference value index.
A third aspect of embodiments of the present invention provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the method of the first aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: according to the method, a plurality of acquisition points in a single first-period sine wave in the voltage of a power grid are acquired, and the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave is calculated according to the plurality of acquisition points; calculating voltage fluctuation quantity between sine waves of adjacent periods in a plurality of second periods in the power grid voltage, and calculating an energy difference value index according to the voltage fluctuation quantity; and determining whether the equipment has a fault according to the difference and the energy difference index. According to the scheme, the difference value and the energy difference value index between the voltage root mean square values are calculated respectively, and whether the equipment fails or not is determined according to the difference value and the energy difference value index. Whether equipment breaks down or not is judged according to the calculation results of multiple dimensions, so that the running state of the equipment can be well evaluated, the equipment is maintained in time, and the monitoring stability of the equipment is improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for detecting the operating condition of a device provided by the invention;
FIG. 2 is a specific schematic flow chart of step 101 in the method for detecting the operating condition of the equipment provided by the invention;
FIG. 3 is a flowchart illustrating the steps 102 of the method for detecting the operating condition of the equipment according to the present invention;
FIG. 4 is a flowchart illustrating the steps 103 of the method for detecting the operating condition of the equipment according to the present invention;
FIG. 5 is a detailed schematic flow chart diagram of another method for detecting the operating condition of the equipment provided by the invention;
FIG. 6 is a schematic diagram of a device for detecting the operating condition of an apparatus according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
Firstly, the invention provides a method for detecting the working condition of equipment. The execution subject of the detection method can be a power quality monitoring device or a server (the server is connected with the power quality monitoring device). Referring to fig. 1, fig. 1 shows a schematic flow chart of a method for detecting the operating condition of a device according to the present invention. As shown in FIG. 1, the method for detecting the working condition of the equipment can comprise the following steps:
step 101: the method comprises the steps of obtaining a plurality of collection points in a single first-period sine wave in the voltage of a power grid, and calculating the difference value between voltage root mean square values corresponding to a first half period sine wave and a second half period sine wave of the first-period sine wave according to the collection points.
The voltage waveform in the power grid is a periodic sine wave. The plurality of acquisition points refer to a plurality of voltage data acquired in a periodic sine wave according to a preset acquisition frequency. When the equipment state of the power quality monitoring equipment is normal, the waveforms of the sine wave of the first half period and the sine wave of the second half period tend to be consistent. When the equipment state of the power quality monitoring equipment is abnormal, the waveform of the sine wave of the first half period is different from that of the sine wave of the second half period. Therefore, the voltage root mean square values corresponding to the sine waves in the front half period and the sine waves in the rear half period can be calculated based on the plurality of acquisition points, and whether the equipment is abnormal or not is determined according to the difference value between the voltage root mean square values. The specific calculation process is as follows:
specifically, step 101 specifically includes steps 1011 to 1014. As shown in fig. 2, fig. 2 shows a specific schematic flowchart of step 101 in the method for detecting the operating condition of the equipment provided by the present invention.
Step 1011: multiple acquisition points in a single first cycle sine wave in a power grid are acquired.
In a cycle sine wave (for example: 0.02S), let the number of acquisition points of a cycle sine wave of the power quality monitoring device be N (usually 128), and let the voltage in a cycle be:
U(n)=[U(1),U(2)...U(N)]。
step 1012: and calculating a first voltage root mean square value according to a plurality of first acquisition points corresponding to the sine waves of the first half period in the plurality of acquisition points.
Specifically, step 1012 specifically includes the following steps: obtaining a first voltage root mean square value by using a plurality of first acquisition points according to a formula I;
the formula I is as follows:
Figure BDA0004011190200000071
wherein, U rms,front Representing the first voltage root mean square value, N representing the number of the plurality of acquisition points.
Step 1013: and calculating a second voltage root mean square value according to a plurality of second acquisition points corresponding to the sine wave of the second half period in the plurality of acquisition points.
Specifically, step 1013 specifically includes the following steps: obtaining a second voltage root mean square value by using a plurality of second acquisition points according to the following formula II;
the second formula is as follows:
Figure BDA0004011190200000081
wherein, U rms,behind Representing the second voltage root mean square value, N representing the number of the plurality of collection points.
Step 1014: calculating the difference between the first voltage root mean square value and the second voltage root mean square value.
The first voltage root mean square value U rms,front And a second voltage root mean square value U rms,behind Substituting the formula to obtain the difference value.
ΔU rms =|U rms,behind -U rms,front |
Wherein, delta U rms Represents said difference, U rms,front Representing the first voltage root mean square value, U rms,behind Representing the second voltage root mean square value.
Step 102: and calculating the voltage fluctuation amount between adjacent periods of sine waves in a plurality of second periods of sine waves in the power grid voltage, and calculating an energy difference index according to the voltage fluctuation amount.
Since step 101 is based on the voltage variation characteristics in a single-cycle sine wave, it is determined whether the device has a fault, which has great limitations. To further improve the calculation accuracy, step 102 determines whether the device is malfunctioning from the voltage variation characteristics between the multiple periodic sine waves. The specific calculation process is as follows:
specifically, step 102 specifically includes step 1021 to step 1023. As shown in FIG. 3, FIG. 3 is a specific schematic flowchart of step 102 in the method for detecting the operating condition of the equipment according to the present invention.
Step 1021: obtaining a maximum voltage fluctuation amount and a minimum voltage fluctuation amount from among the plurality of voltage fluctuation amounts.
Step 1022: substituting the maximum voltage fluctuation amount and the minimum voltage fluctuation amount into the following formula three and formula four to obtain a first energy value and a second energy value;
the formula III is as follows:
E up =U max (ΔU min (kT)) 2
the formula IV is as follows:
E down =U min (ΔU max (k T)) 2
wherein E is up Representing said first energy value, E down Representing said second energy value, U min (kT) represents the kth amount of fluctuation of the voltage.
Step 1023: substituting the first energy value and the second energy value into the following formula five to obtain the energy difference value index;
the formula five is as follows:
Figure BDA0004011190200000091
wherein, gamma is 2 Representing the energy difference indicator.
Step 103: and determining whether the equipment has a fault according to the difference and the energy difference index.
In order to provide identification accuracy, the embodiment determines whether the equipment has faults according to the difference value and the energy difference value index. The specific processing logic is as follows:
specifically, step 103 specifically includes steps 1031 to 1033. As shown in fig. 4, fig. 4 is a specific schematic flowchart of step 103 in the method for detecting the operating condition of the equipment according to the present invention.
Step 1031: substituting the difference value and the first threshold value into the following formula six to obtain a first probability; wherein the first probability is equal to 1 if the difference is not less than the first threshold;
the formula six:
Figure BDA0004011190200000092
wherein, P 1 (t) represents the first probability, Δ U rms Represents said difference, γ 1 Presentation instrumentThe first threshold value.
Step 1032: substituting the energy difference index and a second threshold value into a formula seven to obtain a second probability; wherein if the energy difference indicator is greater than the second threshold or the energy difference indicator is less than the third threshold, the second probability is equal to 1;
the formula seven:
Figure BDA0004011190200000093
wherein, P 2 (t) represents the second probability, γ 2 Represents the energy difference indicator and L represents the second threshold.
Step 1033: determining that the device is malfunctioning if a product between the first probability and the second probability is equal to 1.
In the embodiment, a plurality of acquisition points in a single first-period sine wave in the voltage of a power grid are acquired, and a difference value between voltage root mean square values respectively corresponding to a first half-period sine wave and a second half-period sine wave of the first-period sine wave is calculated according to the plurality of acquisition points; calculating voltage fluctuation quantity between sine waves of adjacent periods in a plurality of second periods in the power grid voltage, and calculating an energy difference value index according to the voltage fluctuation quantity; and determining whether the equipment has a fault according to the difference and the energy difference index. According to the scheme, the difference value and the energy difference value index between the voltage root mean square values are calculated respectively, and whether the equipment fails or not is determined according to the difference value and the energy difference value index. Whether equipment breaks down or not is judged according to the calculation results of multiple dimensions, so that the running state of the equipment can be well evaluated, the equipment is maintained in time, and the monitoring stability of the equipment is improved.
Optionally, step 104 and step 105 are also included after step 103. As shown in FIG. 5, FIG. 5 is a specific schematic flow chart of another method for detecting the working condition of the equipment provided by the invention.
Step 104: substituting the product of the first probability and the second probability into the following formula eight to obtain a target detection period;
the formula eight:
Figure BDA0004011190200000101
wherein, T dy Representing the target detection period, P (t) representing the product, t inital Indicating the current detection period.
Since the execution of steps 101 to 103 requires a large calculation power, in order to reduce the calculation load of the terminal device (power quality monitoring device or server), the processing cycles of steps 101 to 103 need to be arranged appropriately. Therefore, the target detection period T is calculated according to the formula eight in the embodiment dy And performs steps 101 to 103 based on the target detection period.
Step 105: and circularly executing the step of acquiring a plurality of acquisition points in a single first-period sine wave in the power grid voltage based on the target detection period, and calculating the difference value between the voltage root mean square values corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave according to the plurality of acquisition points, and the subsequent steps.
In the present embodiment, the target detection period is calculated by the product between the first probability and the second probability, and the calculation load of the terminal device can be reduced.
As shown in fig. 6, the present invention provides a device 6 for detecting device operating conditions, please refer to fig. 6, fig. 6 shows a schematic diagram of the device for detecting device operating conditions provided by the present invention, and as shown in fig. 6, the device for detecting device operating conditions includes:
the acquisition unit 61 is configured to acquire a plurality of acquisition points in a single first-period sine wave in the grid voltage, and calculate, according to the plurality of acquisition points, a difference between voltage root mean square values corresponding to a first half-period sine wave and a second half-period sine wave of the first-period sine wave;
the calculation unit 62 is configured to calculate a voltage fluctuation amount between adjacent sine waves in a plurality of second-period sine waves in the grid voltage, and calculate an energy difference index according to the voltage fluctuation amount;
a determining unit 63, configured to determine whether the device fails according to the difference and the energy difference indicator.
The detection device for the equipment working condition, provided by the invention, is used for acquiring a plurality of acquisition points in a single first period sine wave in a power grid voltage, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave of the first half period and the sine wave of the second half period of the first period according to the plurality of acquisition points; calculating voltage fluctuation quantity between adjacent periodic sine waves in a plurality of second periodic sine waves in the power grid voltage, and calculating an energy difference value index according to the voltage fluctuation quantity; and determining whether the equipment has a fault according to the difference and the energy difference index. According to the scheme, the difference value and the energy difference value index between the voltage root mean square values are calculated respectively, and whether the equipment fails or not is determined according to the difference value and the energy difference value index. Whether equipment breaks down or not is judged according to the calculation results of multiple dimensions, so that the running state of the equipment can be well evaluated, the equipment is maintained in time, and the monitoring stability of the equipment is improved.
Fig. 7 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 7, a terminal device 7 of this embodiment includes: a processor 7, a memory 71 and a computer program 72 stored in said memory 71 and executable on said processor 7, such as a program for a method of detecting an operating condition of a device. The processor 7, when executing the computer program 72, implements the steps in each of the above-described embodiments of the method for detecting the operating condition of the equipment, such as the steps 101 to 103 shown in fig. 1. Alternatively, the processor 7, when executing the computer program 72, implements the functions of the units in the above-described device embodiments, such as the functions of the units 61 to 63 shown in fig. 6.
Illustratively, the computer program 72 may be divided into one or more units, which are stored in the memory 71 and executed by the processor 7 to accomplish the present invention. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 72 in the kind of terminal device 7. For example, the computer program 72 may be divided into units with specific functions as follows:
the acquisition unit is used for acquiring a plurality of acquisition points in a single first-period sine wave in the voltage of the power grid, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave according to the plurality of acquisition points;
the calculating unit is used for calculating voltage fluctuation quantity between adjacent periodic sine waves in a plurality of second periodic sine waves in the power grid voltage and calculating an energy difference value index according to the voltage fluctuation quantity;
and the determining unit is used for determining whether the equipment has faults or not according to the difference value and the energy difference value index.
The terminal device includes, but is not limited to, a processor 7 and a memory 71. Those skilled in the art will appreciate that fig. 7 is merely an example of one type of terminal device 7 and does not constitute a limitation of one type of terminal device 7, and may include more or less components than those shown, or combine certain components, or different components, for example, the one type of terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 7 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the terminal device 7, such as a hard disk or a memory of the terminal device 7. The memory 71 may also be an external storage device of the terminal device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the terminal device 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the kind of terminal device 7. The memory 71 is used for storing the computer program and other programs and data required by the roaming control device. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It should be noted that, because the contents of information interaction, execution process, and the like between the above-mentioned apparatuses/units are based on the same concept as the method embodiment of the present invention, specific functions and technical effects thereof can be referred to specifically in the method embodiment section, and are not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned functions may be distributed as required to different functional units and modules, i.e., the internal structure of the apparatus may be divided into different functional units or modules to implement all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-described method embodiments.
Embodiments of the present invention provide a computer program product, which, when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may be implemented by a computer program, which may be stored in a computer-readable storage medium and used for instructing related hardware to implement the steps of the embodiments of the method according to the embodiments of the present invention. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, and software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in the present specification and appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a monitoring". Similarly, the phrase "if it is determined" or "if [ a described condition or event ] is monitored" may be interpreted in accordance with the context to mean "upon determining" or "in response to determining" or "upon monitoring [ a described condition or event ]" or "in response to monitoring [ a described condition or event ]".
Furthermore, in the description of the present invention and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present invention. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The above-mentioned embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.

Claims (10)

1. The method for detecting the working condition of the equipment is characterized by comprising the following steps:
acquiring a plurality of acquisition points in a single first-period sine wave in the voltage of a power grid, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave according to the plurality of acquisition points;
calculating voltage fluctuation quantity between sine waves of adjacent periods in a plurality of second periods in the power grid voltage, and calculating an energy difference value index according to the voltage fluctuation quantity;
and determining whether the equipment has a fault according to the difference and the energy difference index.
2. The method for detecting the operating condition of the equipment according to claim 1, wherein the step of acquiring a plurality of acquisition points in a single first period sine wave in the grid voltage, and the step of calculating the difference between the root mean square values of the voltages corresponding to the first half period sine wave and the second half period sine wave of the first period sine wave according to the plurality of acquisition points comprises the following steps:
acquiring a plurality of acquisition points in a single first period sine wave in a power grid;
calculating a first voltage root mean square value according to a plurality of first acquisition points corresponding to the sine waves of the first half period in the plurality of acquisition points;
calculating a second voltage root mean square value according to a plurality of second acquisition points corresponding to the sine wave of the second half period in the plurality of acquisition points;
calculating the difference between the first voltage root mean square value and the second voltage root mean square value.
3. The method of claim 2, wherein said step of calculating a first rms voltage value based on a first plurality of acquisition points corresponding to said first half cycle of said sinusoidal waveform from said plurality of acquisition points comprises:
obtaining a first voltage root mean square value by using a plurality of first acquisition points according to the following formula I;
the formula I is as follows:
Figure FDA0004011190190000011
wherein, U rms,front Representing the first voltage root mean square value, N representing the number of the plurality of acquisition points.
4. The method of claim 2, wherein said step of calculating a second rms voltage value based on a second plurality of capture points of said second half-cycle sinusoids of said plurality of capture points comprises:
obtaining a second voltage root mean square value by using a plurality of second acquisition points according to the following formula II;
the formula II is as follows:
Figure FDA0004011190190000021
wherein, U rms,behind Representing the second voltage root mean square value, N representing the number of the plurality of collection points.
5. The method for detecting the operating condition of the equipment according to claim 1, wherein the step of calculating the voltage fluctuation amount between the adjacent periodic sine waves in the plurality of second periodic sine waves in the grid voltage according to the voltage fluctuation amount comprises the steps of:
acquiring a maximum voltage fluctuation amount and a minimum voltage fluctuation amount from the plurality of voltage fluctuation amounts;
substituting the maximum voltage fluctuation amount and the minimum voltage fluctuation amount into the following formula three and formula four to obtain a first energy value and a second energy value;
the formula III is as follows:
E up =U max (ΔU min (kT)) 2
the formula IV is as follows:
E down =U min (ΔU max (kT)) 2
wherein E is up Representing said first energy value, E down Representing said second energy value, U min (kT) represents a kT-th amount of said voltage fluctuation;
substituting the first energy value and the second energy value into the following formula five to obtain the energy difference value index;
the formula five is as follows:
Figure FDA0004011190190000031
wherein, γ 2 Representing the energy difference indicator.
6. The method of claim 1, wherein said step of determining if the plant is malfunctioning based on said difference and said energy difference indicator comprises:
substituting the difference value and the first threshold value into the following formula six to obtain a first probability; wherein the first probability is equal to 1 if the difference is not less than the first threshold;
formula six:
Figure FDA0004011190190000032
wherein, P 1 (t) represents the first probability, Δ U rms Represents said difference, γ 1 Representing the first threshold;
substituting the energy difference value index and a second threshold value into the following formula seven to obtain a second probability; wherein if the energy difference indicator is greater than the second threshold or the energy difference indicator is less than the third threshold, the second probability is equal to 1;
the formula seven:
Figure FDA0004011190190000033
wherein, P 2 (t) represents theSecond probability, γ 2 Representing the energy difference indicator, L representing the second threshold;
determining that the device is malfunctioning if a product between the first probability and the second probability is equal to 1.
7. The method for detecting the operating condition of the equipment according to claim 6, further comprising:
substituting the product of the first probability and the second probability into the following formula eight to obtain a target detection period;
the formula eight:
Figure FDA0004011190190000041
wherein, T dy Representing the target detection period, P (t) representing the product, t inital Indicating a current detection period;
and circularly executing the step of acquiring a plurality of acquisition points in a single first period sine wave in the power grid voltage based on the target detection period, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first period according to the plurality of acquisition points.
8. A device for detecting the working condition of equipment is characterized by comprising:
the acquisition unit is used for acquiring a plurality of acquisition points in a single first-period sine wave in the voltage of the power grid, and calculating the difference value between the root mean square values of the voltages corresponding to the sine wave in the first half period and the sine wave in the second half period of the first-period sine wave according to the plurality of acquisition points;
the calculating unit is used for calculating voltage fluctuation quantity between adjacent periodic sine waves in a plurality of second periodic sine waves in the power grid voltage and calculating an energy difference value index according to the voltage fluctuation quantity;
and the determining unit is used for determining whether the equipment has faults or not according to the difference value and the energy difference value index.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202211652637.XA 2022-12-21 2022-12-21 Equipment working condition detection method, equipment working condition detection device and terminal equipment Pending CN115856511A (en)

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