CN117330917B - System and method for realizing insulation resistance online detection - Google Patents
System and method for realizing insulation resistance online detection Download PDFInfo
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- CN117330917B CN117330917B CN202311555224.4A CN202311555224A CN117330917B CN 117330917 B CN117330917 B CN 117330917B CN 202311555224 A CN202311555224 A CN 202311555224A CN 117330917 B CN117330917 B CN 117330917B
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- 238000009413 insulation Methods 0.000 title claims abstract description 197
- 238000001514 detection method Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 27
- 239000000463 material Substances 0.000 claims abstract description 106
- 230000032683 aging Effects 0.000 claims abstract description 40
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 18
- 125000000524 functional group Chemical group 0.000 claims description 49
- 238000009432 framing Methods 0.000 claims description 31
- 238000012545 processing Methods 0.000 claims description 25
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- 238000001228 spectrum Methods 0.000 claims description 18
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- 238000003379 elimination reaction Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 230000002431 foraging effect Effects 0.000 claims description 3
- 239000011810 insulating material Substances 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
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- 230000005611 electricity Effects 0.000 description 2
- 230000005670 electromagnetic radiation Effects 0.000 description 2
- 239000012774 insulation material Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000002441 X-ray diffraction Methods 0.000 description 1
- 238000005311 autocorrelation function Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
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- 125000003636 chemical group Chemical group 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
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- 239000012212 insulator Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
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Abstract
The invention relates to the technical field of insulation resistance detection, and discloses a system and a method for realizing insulation resistance online detection, wherein the system comprises the following steps: the aging coefficient calculation module is used for collecting the resistor surface material corresponding to the insulation resistor, calculating the connection bond energy value between each sub-material in the resistor surface material, and calculating the aging coefficient corresponding to the resistor surface material according to the connection bond energy value; the distributed voltage calculation module is used for calculating the refractive phase difference of polarized linear light in the photoelectric sensor and calculating the distributed voltage of the outer surface of the insulation resistor according to the refractive phase difference; the loss current calculation module is used for analyzing the voltage signals corresponding to the distributed voltages and calculating the current loss value corresponding to the insulation resistance; the insulation performance analysis module is used for calculating a flashover voltage value corresponding to the insulation resistance, and performing insulation performance analysis on the insulation resistance by combining the flashover voltage value and the aging coefficient to obtain an analysis result. The invention aims to improve the detection accuracy of the insulation resistance.
Description
Technical Field
The invention relates to the technical field of insulation resistance detection, in particular to a system and a method for realizing insulation resistance online detection.
Background
Insulation resistance refers to a resistance value used in electrical equipment or circuits for measuring insulation quality and insulation performance in an insulating material or an insulation system, and reflects the degree of obstruction of current flow by the insulating material, i.e., whether the insulating material can effectively prevent leakage or electric leakage of current, and measurement of insulation resistance is widely used in maintenance, overhaul and safety assessment of various electrical equipment and circuits. Through detecting insulation resistance regularly, can discover insulating material's problem in advance, prevent insulation breakdown and equipment trouble, ensure power system's safe operation.
The existing insulation resistance detection method is mainly a thermal infrared imager method, and comprises the following specific processes: the method comprises the steps of detecting the outer surface temperature of an insulation resistor by using a thermal infrared imager, constructing a temperature image corresponding to the outer surface temperature, calculating the temperature change rate corresponding to the temperature image, and analyzing the insulation performance of the insulation resistor according to the temperature change rate, so that the insulation resistor is detected.
Disclosure of Invention
The invention provides a system and a method for realizing on-line detection of insulation resistance, and mainly aims to improve the detection accuracy of the insulation resistance.
To achieve the above object, the present invention provides a system for implementing insulation resistance on-line detection, including:
the aging coefficient calculation module is used for collecting the resistance surface material corresponding to the insulation resistance, calculating the connection bond energy value between each sub-material in the resistance surface material, and calculating the aging coefficient corresponding to the resistance surface material according to the connection bond energy value;
the distribution voltage calculation module is used for applying an external potential field to the insulation resistor, emitting polarized linear light by using a preset photoelectric sensor under the external potential field, calculating the refraction phase difference of the polarized linear light in the photoelectric sensor, and calculating the distribution voltage on the outer surface of the insulation resistor according to the refraction phase difference;
the loss current calculation module is used for analyzing the voltage signals corresponding to the distributed voltage, carrying out subharmonic elimination processing on the voltage signals to obtain target signals, and calculating loss current values corresponding to the insulation resistors according to the target signals;
and the insulation performance analysis module is used for detecting the electrical parameters corresponding to the insulation resistor, calculating a flashover voltage value corresponding to the insulation resistor according to the current loss value and the electrical parameters, and carrying out insulation performance analysis on the insulation resistor by combining the flashover voltage value and the aging coefficient to obtain an analysis result.
Optionally, the calculating a bond energy value between each sub-material in the resistive surface material includes:
analyzing the material structure corresponding to the resistance surface material, inquiring the structure molecular name corresponding to the material structure, and determining the molecular functional group corresponding to the structure molecular name;
carrying out functional group resolution on the molecular functional groups to obtain resolution functional groups, and calculating the mass of the functional groups corresponding to the resolution functional groups;
extracting characteristic functional groups in the molecular functional groups according to the quality of the functional groups, and calculating the bond energy of the functional groups corresponding to the characteristic functional groups;
and carrying out weighted summation on the bond energy of the functional groups to obtain the value of the bond energy of the connection between each sub-material in the resistance surface material.
Optionally, the calculating the aging coefficient corresponding to the resistive surface material according to the connection bond energy value includes:
and calculating the aging coefficient corresponding to the resistance surface material by the following formula:
；
a represents the aging coefficient corresponding to the resistive surface material,represents the bond energy value of the a-th sub-material in the resistive surface material, a represents the sub-material in the resistive surface material, +.>Represents the energy value required for aging of the a-th material in the resistive surface material, E represents the thermal stability coefficient of the resistive surface material, and F represents the thermodynamic temperature of the resistive surface material.
Optionally, the emitting polarized linear light with a preset photoelectric sensor and calculating a refractive phase difference of the polarized linear light inside the photoelectric sensor includes:
transmitting a detection light source by using a preset photoelectric sensor, and performing signal processing on the detection light source to obtain a light source signal;
performing signal modulation processing on the light source signal to obtain a modulated signal, and performing signal conversion on the modulated signal to obtain a modulated electric signal;
detecting the signal intensity value of the modulated electric signal in real time, and calculating the signal intensity difference corresponding to the modulated electric signal according to the signal intensity value;
and obtaining the refraction phase difference of the polarized linear light in the photoelectric sensor according to the signal intensity difference.
Optionally, the calculating the distribution voltage of the insulation resistance outer surface according to the refraction phase difference includes:
calculating the distribution voltage of the outer surface of the insulation resistor by the following formula:
；
wherein G represents the distribution voltage of the outer surface of the insulation resistor,conductivity indicative of insulation resistance, +.>Refractive index of insulation resistance surface, +.>The electro-optical tensor inside the insulation resistor is represented by H, the measured voltage of the insulation resistor is represented by d, the resistance length of the insulation resistor is represented by e, and the dielectric polarizability of the insulation resistor is represented by e.
Optionally, the performing subharmonic cancellation processing on the voltage signal to obtain a target signal includes:
carrying out noise reduction treatment on the voltage signal to obtain a noise reduction voltage signal, and calculating a signal amplitude corresponding to the noise reduction voltage signal;
calculating a signal variance value corresponding to the noise reduction voltage signal according to the signal amplitude, and carrying out Fourier transform on the noise reduction voltage signal to obtain a signal frequency spectrum;
combining the signal variance value and the spectrum amplitude, and identifying a subharmonic waveform in the signal spectrum;
and filtering the subharmonic waveform to obtain a target signal spectrum, and performing Fourier inverse transformation on the target signal spectrum to obtain a target signal.
Optionally, the calculating, according to the target signal, a loss current value corresponding to the insulation resistance includes:
extracting signal parameters corresponding to the target signal, and carrying out signal framing treatment on the target signal to obtain a framing signal;
calculating sine signal values and cosine signal values of the framing signals according to the signal parameters;
calculating a signal current value corresponding to the framing signal by combining the sine signal value and the cosine signal value;
and summing the signal current values to obtain the loss current value corresponding to the insulation resistor.
Optionally, the calculating the sine signal value and the cosine signal value of the framing signal according to the signal parameter includes:
calculating sine signal values and cosine signal values of the framing signal by the following formula:
；
where M represents a sine signal value of the framing signal, N represents a cosine signal value of the framing signal,representing the corresponding sinusoidal amplitude of the sinusoidal signal in the framing signal,/-, for example>Representing the cosine amplitude corresponding to the cosine signal in the framing signal,/->Signal frequency representing a sinusoidal signal in a signal parameter, < >>Signal frequency representing cosine signal in signal parameter, < + >>Representing the point in time corresponding to the framed signal, +.>Signal phase representing the sinusoidal signal in the framed signal, is->Representing the signal phase of the cosine signal in the framed signal.
Optionally, the calculating, according to the current loss value and the electrical parameter, a flashover voltage value corresponding to the insulation resistance includes:
calculating a flashover voltage value corresponding to the insulation resistance according to the following formula:
；
wherein K represents a flashover voltage value corresponding to the insulation resistance, P represents arc impedance of the insulation resistance, m represents arc length in the electrical parameter,representing the arc loss coefficient in the electrical parameter +.>The resistance value of the insulation resistance is represented by U, the resistance length of the insulation resistance is represented by I, and the current loss value is represented by I.
A method for implementing insulation resistance online detection, the method comprising:
collecting a resistor surface material corresponding to an insulation resistor, calculating a connection bond energy value between each sub-material in the resistor surface material, and calculating an aging coefficient corresponding to the resistor surface material according to the connection bond energy value;
applying an external potential field to the insulation resistor, under the external potential field, utilizing a preset photoelectric sensor to emit polarized linear light, calculating the refraction phase difference of the polarized linear light in the photoelectric sensor, and calculating the distribution voltage on the outer surface of the insulation resistor according to the refraction phase difference;
analyzing the voltage signals corresponding to the distributed voltages, carrying out subharmonic elimination processing on the voltage signals to obtain target signals, and calculating the loss current values corresponding to the insulation resistors according to the target signals;
and detecting an electrical parameter corresponding to the insulation resistor, calculating a flashover voltage value corresponding to the insulation resistor according to the current loss value and the electrical parameter, and carrying out insulation performance analysis on the insulation resistor by combining the flashover voltage value and the aging coefficient to obtain an analysis result.
The invention can obtain the energy value contained in the chemical composition between each material by calculating the connection bond energy value between each sub-material in the surface material of the resistor, and provides a guarantee for the calculation of the subsequent aging coefficient. Therefore, the system and the method for realizing the on-line detection of the insulation resistance can improve the detection accuracy of the insulation resistance.
Drawings
FIG. 1 is a functional block diagram of a system for implementing on-line insulation resistance detection according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for implementing insulation resistance on-line detection according to an embodiment of the invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In addition, the sequence of steps in the method embodiments described below is only an example and is not strictly limited.
In practice, the server device deployed by the system for implementing insulation resistance online detection may be composed of one or more devices. The above system for realizing the on-line detection of the insulation resistance can be realized as follows: service instance, virtual machine, hardware device. For example, the system for implementing insulation resistance online detection may be implemented as a service instance deployed on one or more devices in a cloud node. In short, the live service system can be understood as a software deployed on a cloud node, and is used for providing services for realizing on-line detection of insulation resistance for each user terminal. Alternatively, the system for implementing insulation resistance online detection may also be implemented as a virtual machine deployed on one or more devices in the cloud node. The virtual machine is provided with application software for managing each user side. Or, the system for realizing the on-line detection of the insulation resistance can be realized as a service end formed by a plurality of hardware devices of the same or different types, and one or more hardware devices are arranged for providing services for realizing the on-line detection of the insulation resistance for each user end.
In the implementation form, the system for realizing the on-line detection of the insulation resistance and the user terminal are mutually adapted. Namely, the system for realizing the insulation resistance online detection is used as an application installed on the cloud service platform, and the user side is used as a client side for establishing communication connection with the application; or the system for realizing the insulation resistance online detection is realized as a website, and the user side is realized as a webpage; and then, or the system for realizing the insulation resistance online detection is realized as a cloud service platform, and the client is realized as an applet in the instant messaging application.
Referring to fig. 1, a functional block diagram of a system for implementing on-line detection of insulation resistance according to an embodiment of the present invention is shown.
The system 100 for implementing insulation resistance online detection in the invention can be arranged in a cloud server, and in an implementation form, the system can be used as one or more service devices, can be used as an application to be installed on a cloud (such as a server of a live service operator, a server cluster, etc.), or can be developed into a website. According to the functions, the system 100 for implementing insulation resistance online detection includes an aging coefficient calculating module 101, a distributed voltage calculating module 102, a loss current calculating module 103 and an insulation performance analyzing module 104.
In the embodiment of the invention, based on the fact that the insulation resistance on-line detection is realized, all the modules can be independently realized and called by other modules. The call can be understood that a certain module can be connected with a plurality of modules of another type and provide corresponding services for the plurality of modules connected with the certain module, and in the system for realizing the on-line detection of the insulation resistance provided by the embodiment of the invention, the application range of a framework for realizing the on-line detection of the insulation resistance can be adjusted by adding the module and directly calling the module without modifying program codes, so that the cluster type horizontal expansion is realized, and the purpose of rapidly and flexibly expanding the system for realizing the on-line detection of the insulation resistance is realized. In practical applications, the modules may be disposed in the same device or different devices, or may be service instances disposed in virtual devices, for example, in a cloud server.
The following describes the various components of the system for implementing on-line detection of insulation resistance and the specific workflow, respectively, in connection with specific embodiments.
The aging coefficient calculating module 101 is configured to collect a resistive surface material corresponding to an insulation resistor, calculate a connection bond energy value between each sub-material in the resistive surface material, and calculate an aging coefficient corresponding to the resistive surface material according to the connection bond energy value.
According to the invention, the energy value contained in chemical components between materials can be obtained by calculating the connection bond energy value between each sub-material in the resistor surface material, so that guarantee is provided for the calculation of the subsequent aging coefficient, wherein the insulation resistor refers to the resistor of the insulation material under specific conditions, the resistance represents the blocking degree of current passing through the insulation material, the resistor surface material is the outer surface material of the insulation resistor, such as an insulator, and the connection bond energy value is the energy value contained between molecular structures in each sub-material in the resistor surface material.
As an embodiment of the present invention, the calculating the bond energy value between each sub-material in the resistive surface material includes: analyzing the material structure corresponding to the resistance surface material, inquiring the structure molecular name corresponding to the material structure, determining the molecular functional group corresponding to the structure molecular name, carrying out functional group resolution on the molecular functional group to obtain a resolution functional group, calculating the functional group mass corresponding to the resolution functional group, extracting the characteristic functional group in the molecular functional group according to the functional group mass, calculating the functional group bond energy corresponding to the characteristic functional group, and carrying out weighted summation on the functional group bond energy to obtain the connection bond energy value between each sub-material in the resistance surface material.
The material structure is a component element corresponding to the resistor surface material, the structural molecular name is a chemical name corresponding to the material structure, such as carbon dioxide, the molecular functional group is a chemical group corresponding to the structural molecular name, the functional group mass is a mass of a molecule in the resolution functional group, the characteristic functional group is a characteristic functional group in the molecular functional group, and the functional group bond energy represents an energy value of the characteristic functional group.
Optionally, the analysis of the material structure corresponding to the resistive surface material may be implemented by an X-ray diffraction method, which specifically includes the steps of: the type, lattice parameter and crystallographic information of a crystal structure can be determined by measuring the diffraction mode and intensity of the resistance surface material on incident X-rays, functional group resolution of the molecular functional groups can be achieved through a primitive method, mass spectrometry can be achieved through calculation of functional group masses corresponding to the resolved functional groups, characteristic functional groups in the molecular functional groups can be extracted according to the numerical values of the functional group masses, and energy difference method can be achieved through calculation of functional group bonding energy corresponding to the characteristic functional groups.
According to the invention, the aging coefficient corresponding to the resistance surface material is calculated according to the connection bond energy value, the service life of the resistance surface material can be evaluated through the aging coefficient, the performance trend of the resistance surface material is analyzed, and the analysis accuracy of the resistance surface material is improved, wherein the aging coefficient represents the aging degree of the resistance surface material.
As one embodiment of the present invention, the calculating the aging coefficient corresponding to the resistive surface material according to the bond energy value includes:
and calculating the aging coefficient corresponding to the resistance surface material by the following formula:
；
a represents the aging coefficient corresponding to the resistive surface material,represents the bond energy value of the a-th sub-material in the resistive surface material, a represents the sub-material in the resistive surface material, +.>Represents the energy value required for aging of the a-th material in the resistive surface material, E represents the thermal stability coefficient of the resistive surface material, and F represents the thermodynamic temperature of the resistive surface material.
The distribution voltage calculating module 102 is configured to apply an external potential field to the insulation resistor, emit polarized linear light with a preset photoelectric sensor under the external potential field, calculate a refractive phase difference of the polarized linear light inside the photoelectric sensor, and calculate a distribution voltage on an outer surface of the insulation resistor according to the refractive phase difference.
According to the invention, electromagnetic radiation and static electricity can be shielded by applying an external potential field to the insulation resistor, the influence of charges in the insulation resistor on the photoelectric sensor is avoided, the angle deviation of polarized light when the polarized light is refracted in the photoelectric sensor can be obtained by calculating the refraction phase difference of the polarized light in the photoelectric sensor, and the guarantee is provided for the calculation of the subsequent distribution voltage, wherein the external potential field is an electric field applied to the space outside the insulation resistor and is used for shielding electromagnetic radiation and static electricity interference, and the preset photoelectric sensor is a sensor for emitting a detection light source and converting the detection light source into a controllable signal.
As one embodiment of the present invention, the emitting polarized linear light with a preset photosensor and calculating a refractive phase difference of the polarized linear light inside the photosensor includes: and transmitting a detection light source by using a preset photoelectric sensor, performing signal processing on the detection light source to obtain a light source signal, performing signal modulation processing on the light source signal to obtain a modulation signal, performing signal conversion on the modulation signal to obtain a modulation electric signal, detecting the signal intensity value of the modulation electric signal in real time, calculating a signal intensity difference corresponding to the modulation electric signal according to the signal intensity value, and obtaining the refraction phase difference of polarized linear light in the photoelectric sensor according to the signal intensity difference.
The detection light source is a light source emitted by a light emitting diode in the photoelectric sensor, the light source signal is a digital signal corresponding to the detection light source, the modulation signal is a signal which is obtained by modulating the light source signal and is easy to control, the modulation electric signal is a computer-readable analog signal corresponding to the modulation signal, and the signal intensity value represents the intensity corresponding to the modulation electric signal.
Optionally, the light emitting diode in the photoelectric sensor may emit a detection light source, the signal processing on the detection light source may be implemented by an emission circuit in the photoelectric sensor, the detection light source is interacted with a communication protocol by using the emission circuit, so as to obtain a light source signal, the emission circuit is composed of a photosensitive element, the signal modulation processing on the light source signal may be implemented by a pulse width modulation method, the signal conversion on the modulated signal may be implemented by a photoelectric converter in the photoelectric sensor, and the real-time detection of the signal intensity value of the modulated electric signal may be implemented by a signal intensity meter.
According to the invention, the distribution voltage of the outer surface of the insulation resistor is calculated according to the refraction phase difference, the voltage condition of the outer surface of the insulation resistor can be known through the distribution voltage, and a guarantee is provided for the subsequent calculation of the current loss value, wherein the distribution voltage is the voltage value of the distribution of the outer surface of the insulation resistor.
As one embodiment of the present invention, the calculating the distribution voltage of the outer surface of the insulation resistor according to the refractive phase difference includes:
calculating the distribution voltage of the outer surface of the insulation resistor by the following formula:
；
wherein G represents the distribution voltage of the outer surface of the insulation resistor,conductivity indicative of insulation resistance, +.>Refractive index of insulation resistance surface, +.>The electro-optical tensor inside the insulation resistor is represented by H, the measured voltage of the insulation resistor is represented by d, the resistance length of the insulation resistor is represented by e, and the dielectric polarizability of the insulation resistor is represented by e.
The current loss calculation module 103 is configured to analyze the voltage signal corresponding to the distributed voltage, perform subharmonic cancellation processing on the voltage signal to obtain a target signal, and calculate a current loss value corresponding to the insulation resistance according to the target signal.
The invention can eliminate abnormal waveforms in the voltage signals by carrying out subharmonic elimination processing on the voltage signals, improves the signal quality of the voltage signals, improves the definition of the voltage signals, and provides guarantee for the calculation of the subsequent sine signal mean value and cosine signal mean value, wherein the voltage signals are electric signals corresponding to the distributed voltages, the target signals are signals obtained by eliminating the abnormal signals in the voltage signals, and optionally, the analysis of the voltage signals corresponding to the distributed voltages can be realized by a signal generator.
As an embodiment of the present invention, the performing subharmonic cancellation processing on the voltage signal to obtain a target signal includes: noise reduction processing is carried out on the voltage signal to obtain a noise reduction voltage signal, a signal amplitude corresponding to the noise reduction voltage signal is calculated, a signal variance value corresponding to the noise reduction voltage signal is calculated according to the signal amplitude, fourier transformation is carried out on the noise reduction voltage signal to obtain a signal spectrum, sub-harmonic waveforms in the signal spectrum are identified by combining the signal variance value and the spectrum amplitude, filtering processing is carried out on the sub-harmonic waveforms to obtain a target signal spectrum, and Fourier inverse transformation is carried out on the target signal spectrum to obtain a target signal.
The noise reduction voltage signal is a signal obtained by removing noise in the voltage signal, the signal amplitude represents the signal intensity corresponding to the noise reduction voltage signal, the signal variance value represents the degree of change corresponding to the noise reduction voltage signal, the signal frequency spectrum is a signal frequency distribution map corresponding to the noise reduction voltage signal, and the subharmonic waveform is an abnormal signal waveform in the signal frequency spectrum.
Optionally, the noise reduction processing on the voltage signal may be implemented by a wavelet transform method, calculating a signal amplitude corresponding to the noise reduction voltage signal may be implemented by an euler formula, calculating a signal variance value corresponding to the noise reduction voltage signal may be implemented by a variance calculator, the fourier transform on the noise reduction voltage signal may be implemented by a fourier algorithm, and when the difference value is greater than a preset threshold, a waveform of the spectrum amplitude is marked, so as to obtain a subharmonic waveform, and the filtering processing on the subharmonic waveform may be implemented by a low-pass filter.
According to the invention, through calculating the loss current value corresponding to the insulation resistor according to the target signal, the insulation performance of the insulation resistor can be evaluated through the loss current value, and if the loss current value is larger, the insulation performance is poorer, wherein the loss current value is the current value lost in the operation of the insulation resistor.
As one embodiment of the present invention, the calculating, according to the target signal, a loss current value corresponding to the insulation resistance includes: extracting signal parameters corresponding to the target signal, carrying out signal framing processing on the target signal to obtain a framed signal, calculating a sine signal value and a cosine signal value of the framed signal according to the signal parameters, calculating a signal current value corresponding to the framed signal by combining the sine signal value and the cosine signal value, and summing the signal current values to obtain a loss current value corresponding to the insulation resistor.
The signal parameter is various parameters of the target signal, such as signal frequency or signal period, the framing signal is an instantaneous signal obtained by dividing the target signal into a plurality of discrete frames, the sine signal value and the cosine signal value are respectively instantaneous signal intensity values of sine and cosine in the framing signal, and the signal current value is an instantaneous current value corresponding to the framing signal.
Optionally, extracting the signal parameter corresponding to the target signal may be implemented by an autocorrelation method, and the signal framing processing on the target signal may be implemented by a window function by calculating an autocorrelation function in the autocorrelation method, where the step of calculating the signal current value corresponding to the framed signal includes: the signal current value =Wherein, the method comprises the steps of, wherein,representing a sinusoidal signal value, +.>Representing cosine signal values.
Optionally, as an optional embodiment of the present invention, the calculating, according to the signal parameter, a sine signal value and a cosine signal value of the framing signal includes:
calculating sine signal values and cosine signal values of the framing signal by the following formula:
；
where M represents a sine signal value of the framing signal, N represents a cosine signal value of the framing signal,representing the corresponding sinusoidal amplitude of the sinusoidal signal in the framing signal,/-, for example>Representing the cosine amplitude corresponding to the cosine signal in the framing signal,/->Signal frequency representing a sinusoidal signal in a signal parameter, < >>Signal frequency representing cosine signal in signal parameter, < + >>Representing the point in time corresponding to the framed signal, +.>Signal phase representing the sinusoidal signal in the framed signal, is->Representing the signal phase of the cosine signal in the framed signal.
The insulation performance analysis module 104 is configured to detect an electrical parameter corresponding to the insulation resistor, calculate a flashover voltage value corresponding to the insulation resistor according to the current loss value and the electrical parameter, and perform insulation performance analysis on the insulation resistor by combining the flashover voltage value and the aging coefficient to obtain an analysis result.
According to the invention, the flashover voltage value corresponding to the insulation resistor is calculated according to the current loss value and the electrical parameter, the partial discharge condition of the outer surface of the insulation resistor can be known through the flashover voltage value, so that the surface pollution degree of the insulation resistor is analyzed, the analysis accuracy of the subsequent insulation performance is improved, the purpose of improving the accuracy of the insulation resistor detection is further achieved, wherein the electrical parameter is a power parameter corresponding to the insulation resistor, such as a current value in the insulation resistor, the flashover voltage value is a flashover discharge voltage value of the insulation resistor, and optionally, the detection of the electrical parameter corresponding to the insulation resistor can be realized through a voltmeter, an ammeter and other instruments.
As one embodiment of the present invention, the calculating the flashover voltage value corresponding to the insulation resistance according to the current loss value and the electrical parameter includes:
calculating a flashover voltage value corresponding to the insulation resistance according to the following formula:
；
wherein K represents a flashover voltage value corresponding to the insulation resistance, P represents arc impedance of the insulation resistance, m represents arc length in the electrical parameter,representing the arc loss coefficient in the electrical parameter +.>The resistance value of the insulation resistance is represented by U, the resistance length of the insulation resistance is represented by I, and the current loss value is represented by I.
According to the invention, the insulation performance analysis accuracy of the insulation resistor can be improved by combining the flashover voltage value and the aging coefficient, and optionally, the surface pollution degree of the insulation resistor can be analyzed by the flashover voltage value, and the insulation performance of the insulation resistor can be determined by analyzing the aging degree of the insulation resistor and combining the surface pollution degree and the aging degree according to the aging coefficient.
The invention can obtain the energy value contained in the chemical composition between each material by calculating the connection bond energy value between each sub-material in the surface material of the resistor, and provides a guarantee for the calculation of the subsequent aging coefficient. Therefore, the method for realizing the on-line detection of the insulation resistance can improve the detection accuracy of the insulation resistance.
Referring to fig. 2, a flow chart of a method for implementing on-line detection of insulation resistance according to an embodiment of the invention is shown. In this embodiment, the method for implementing insulation resistance online detection includes:
collecting a resistor surface material corresponding to an insulation resistor, calculating a connection bond energy value between each sub-material in the resistor surface material, and calculating an aging coefficient corresponding to the resistor surface material according to the connection bond energy value;
applying an external potential field to the insulation resistor, under the external potential field, utilizing a preset photoelectric sensor to emit polarized linear light, calculating the refraction phase difference of the polarized linear light in the photoelectric sensor, and calculating the distribution voltage on the outer surface of the insulation resistor according to the refraction phase difference;
analyzing the voltage signals corresponding to the distributed voltages, carrying out subharmonic elimination processing on the voltage signals to obtain target signals, and calculating the loss current values corresponding to the insulation resistors according to the target signals;
and detecting an electrical parameter corresponding to the insulation resistor, calculating a flashover voltage value corresponding to the insulation resistor according to the current loss value and the electrical parameter, and carrying out insulation performance analysis on the insulation resistor by combining the flashover voltage value and the aging coefficient to obtain an analysis result.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A system for implementing insulation resistance online detection, the system comprising:
the aging coefficient calculation module is used for collecting the resistance surface material corresponding to the insulation resistance, calculating the connection bond energy value between each sub-material in the resistance surface material, and calculating the aging coefficient corresponding to the resistance surface material according to the connection bond energy value;
the distribution voltage calculation module is used for applying an external potential field to the insulation resistor, emitting polarized linear light by using a preset photoelectric sensor under the external potential field, calculating the refraction phase difference of the polarized linear light in the photoelectric sensor, and calculating the distribution voltage on the outer surface of the insulation resistor according to the refraction phase difference;
the loss current calculation module is used for analyzing the voltage signals corresponding to the distributed voltage, carrying out subharmonic elimination processing on the voltage signals to obtain target signals, and calculating loss current values corresponding to the insulation resistors according to the target signals;
the insulation performance analysis module is used for detecting electrical parameters corresponding to the insulation resistor, calculating a flashover voltage value corresponding to the insulation resistor according to the current loss value and the electrical parameters, and carrying out insulation performance analysis on the insulation resistor by combining the flashover voltage value and the aging coefficient to obtain an analysis result;
and calculating the aging coefficient corresponding to the resistance surface material according to the connection bond energy value, wherein the aging coefficient comprises the following steps:
and calculating the aging coefficient corresponding to the resistance surface material by the following formula:
；
a represents the aging coefficient corresponding to the resistive surface material,represents the bond energy value of the a-th sub-material in the resistive surface material, a represents the sub-material in the resistive surface material, +.>Representing the energy value required for aging of the a-th material in the resistance surface material, E representing the thermal stability coefficient of the resistance surface material, and F representing the thermodynamic temperature of the resistance surface material;
the calculating the flashover voltage value corresponding to the insulation resistance according to the current loss value and the electrical parameter comprises the following steps:
calculating a flashover voltage value corresponding to the insulation resistance according to the following formula:
；
wherein K represents a flashover voltage value corresponding to the insulation resistance, P represents arc impedance of the insulation resistance, m represents arc length in the electrical parameter,representing the arc loss coefficient in the electrical parameter +.>The resistance value of the insulation resistance is represented by U, the resistance length of the insulation resistance is represented by I, and the current loss value is represented by I.
2. A system for implementing on-line detection of insulation resistance according to claim 1, wherein said calculating a bond energy value between each sub-material in said resistive surface material comprises:
analyzing the material structure corresponding to the resistance surface material, inquiring the structure molecular name corresponding to the material structure, and determining the molecular functional group corresponding to the structure molecular name;
carrying out functional group resolution on the molecular functional groups to obtain resolution functional groups, and calculating the mass of the functional groups corresponding to the resolution functional groups;
extracting characteristic functional groups in the molecular functional groups according to the quality of the functional groups, and calculating the bond energy of the functional groups corresponding to the characteristic functional groups;
and carrying out weighted summation on the bond energy of the functional groups to obtain the value of the bond energy of the connection between each sub-material in the resistance surface material.
3. A system for implementing insulation resistance on-line detection as claimed in claim 1, wherein the emitting polarized linear light with a preset photosensor and calculating a refractive phase difference of the polarized linear light inside the photosensor comprises:
transmitting a detection light source by using a preset photoelectric sensor, and performing signal processing on the detection light source to obtain a light source signal;
performing signal modulation processing on the light source signal to obtain a modulated signal, and performing signal conversion on the modulated signal to obtain a modulated electric signal;
detecting the signal intensity value of the modulated electric signal in real time, and calculating the signal intensity difference corresponding to the modulated electric signal according to the signal intensity value;
and obtaining the refraction phase difference of the polarized linear light in the photoelectric sensor according to the signal intensity difference.
4. A system for implementing on-line detection of insulation resistance according to claim 1, wherein said calculating a distribution voltage of an outer surface of said insulation resistance based on said refractive phase difference comprises:
calculating the distribution voltage of the outer surface of the insulation resistor by the following formula:
；
wherein G represents the distribution voltage of the outer surface of the insulation resistor,conductivity indicative of insulation resistance, +.>Refractive index of insulation resistance surface, +.>The electro-optical tensor inside the insulation resistor is represented by H, the measured voltage of the insulation resistor is represented by d, the resistance length of the insulation resistor is represented by e, and the dielectric polarizability of the insulation resistor is represented by e.
5. The system for implementing insulation resistance on-line detection as defined in claim 1, wherein said subjecting said voltage signal to subharmonic cancellation processing to obtain a target signal comprises:
carrying out noise reduction treatment on the voltage signal to obtain a noise reduction voltage signal, and calculating a signal amplitude corresponding to the noise reduction voltage signal;
calculating a signal variance value corresponding to the noise reduction voltage signal according to the signal amplitude, and carrying out Fourier transform on the noise reduction voltage signal to obtain a signal frequency spectrum;
combining the signal variance value and the spectrum amplitude, and identifying a subharmonic waveform in the signal spectrum;
and filtering the subharmonic waveform to obtain a target signal spectrum, and performing Fourier inverse transformation on the target signal spectrum to obtain a target signal.
6. The system for implementing on-line detection of insulation resistance according to claim 1, wherein the calculating the corresponding current loss value of the insulation resistance according to the target signal comprises:
extracting signal parameters corresponding to the target signal, and carrying out signal framing treatment on the target signal to obtain a framing signal;
calculating sine signal values and cosine signal values of the framing signals according to the signal parameters;
calculating a signal current value corresponding to the framing signal by combining the sine signal value and the cosine signal value;
and summing the signal current values to obtain the loss current value corresponding to the insulation resistor.
7. The system for implementing insulation resistance on-line detection as defined in claim 6, wherein said calculating sine signal values and cosine signal values of said framing signal based on said signal parameters comprises:
calculating sine signal values and cosine signal values of the framing signal by the following formula:
；
where M represents a sine signal value of the framing signal, N represents a cosine signal value of the framing signal,representing the corresponding sinusoidal amplitude of the sinusoidal signal in the framing signal,/-, for example>Representing the cosine amplitude corresponding to the cosine signal in the framing signal,/->Signal frequency representing a sinusoidal signal in a signal parameter, < >>Signal frequency representing cosine signal in signal parameter, < + >>Representing the point in time corresponding to the framed signal, +.>Signal phase representing the sinusoidal signal in the framed signal, is->Representing the signal phase of the cosine signal in the framed signal.
8. A method for realizing on-line detection of insulation resistance, applied to a system for realizing on-line detection of insulation resistance according to any one of claims 1-7, characterized in that the method comprises:
collecting a resistor surface material corresponding to an insulation resistor, calculating a connection bond energy value between each sub-material in the resistor surface material, and calculating an aging coefficient corresponding to the resistor surface material according to the connection bond energy value;
applying an external potential field to the insulation resistor, under the external potential field, utilizing a preset photoelectric sensor to emit polarized linear light, calculating the refraction phase difference of the polarized linear light in the photoelectric sensor, and calculating the distribution voltage on the outer surface of the insulation resistor according to the refraction phase difference;
analyzing the voltage signals corresponding to the distributed voltages, carrying out subharmonic elimination processing on the voltage signals to obtain target signals, and calculating the loss current values corresponding to the insulation resistors according to the target signals;
and detecting an electrical parameter corresponding to the insulation resistor, calculating a flashover voltage value corresponding to the insulation resistor according to the current loss value and the electrical parameter, and carrying out insulation performance analysis on the insulation resistor by combining the flashover voltage value and the aging coefficient to obtain an analysis result.
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