CN114441901A - Multi-load fault arc detection method combining parameter acquisition module and intelligent socket - Google Patents
Multi-load fault arc detection method combining parameter acquisition module and intelligent socket Download PDFInfo
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Abstract
The invention provides a multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket, which is characterized in that a method combining voltage and current characteristic information is applied, so that the problem of multi-load fault arc identification is solved. The intelligent socket comprises a parameter acquisition module, a smart socket and a power supply module, wherein the current data are provided by the parameter acquisition module, the voltage data are provided by the smart socket through measurement, and meanwhile, the data are sent to the parameter acquisition module for comprehensive analysis. The characteristic information comprises time domain characteristic information and frequency domain characteristic information, wherein the current characteristic information comprises a form factor, a peak factor, a kurtosis factor, a pulse factor and a total harmonic distortion rate; the voltage characteristic information includes a form factor, a peak factor, a kurtosis factor, a pulse factor, and a total harmonic distortion rate. And judging whether the arc fault occurs or not by comparing the real-time characteristic information with the characteristic threshold value. The invention can realize the fault arc detection of the multi-load circuit by utilizing the multi-dimensional characteristic information of the voltage and the current.
Description
Technical Field
The invention relates to the field of circuit fault judgment, in particular to a multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket.
Technical Field
With the rapid development of urban construction, population density is increased year by year, fire hazard safety is increased, and fire has brought great threat to life safety and property safety of people. Investigation finds that the specific reasons of the occurrence of the 'extra-large, heavy and large' fire are closely connected with the occurrence of electrical faults, and the electrical faults are important reasons for the occurrence of the fire. The data show that the fire accident caused by ac fault arc is much more than the fire caused by metallic short circuit between live conductors, so fault arc is an important cause of electrical fire in electrical fire and is not negligible. Once a fault arc is generated, surrounding flammable and explosive materials are likely to be ignited immediately, thereby causing a fire accident.
The existing detection method has the main problems that extracted characteristic information is single, only fault arcs can be detected aiming at limited load types, accurate and efficient real-time judgment on fault arcs of complex multi-load circuits cannot be made, and high false alarm rate and false alarm rate exist.
In view of the above existing problems, it is desirable to provide a fault arc detection method for complex multi-load circuits.
Disclosure of Invention
In order to improve the efficiency of detecting the fault arc of the complex multi-load circuit, the invention provides a multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket, which can effectively detect the fault arc of the multi-load circuit and has higher accuracy.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket is characterized by comprising the following steps:
firstly, a current acquisition module acquires an instantaneous current signal of a detected circuit at a rate of 128 points per cycle;
secondly, the voltage acquisition module acquires instantaneous voltage signals of the detected circuit at a rate of 128 points per cycle;
judging whether the detected circuit has load operation or not through the instantaneous current signal;
fourthly, after the operation with the load is judged, corresponding characteristic information is calculated by using the instantaneous voltage signal and the instantaneous current signal, and whether the fault electric arc occurs is judged by taking the average value of the characteristic information;
further: the characteristic information of the current signal and the voltage signal comprises time domain characteristic information and frequency domain characteristic information: form factor SF, peak factor CF, kurtosis factor KV, pulse factor IF, total harmonic distortion rate THD. When the current signal waveform factor SF is larger than the threshold value 1, an error point is regarded as; when the peak factor CF of the current signal is larger than the threshold value 2, an error point is considered; when the kurtosis factor KV of the current signal is larger than a threshold value 3, regarding the current signal as an error point; when the pulse factor IF of the current signal is larger than a threshold value 4, an error point is regarded; when the total harmonic distortion rate THD of the current signal is larger than a threshold value 5, regarding as an error point; when the voltage signal form factor SF is larger than the threshold value 6, an error point is considered; when the voltage signal peak factor CF is larger than the threshold value 7, an error point is considered; when the kurtosis factor KV of the voltage signal is larger than a threshold value 8, an error point is regarded as; when the pulse factor IF of the voltage signal is larger than the threshold value 9, an error point is considered; when the total harmonic distortion rate THD of the voltage signal is larger than a threshold value 10, regarding the voltage signal as an error point; if the error points are more than or equal to 8, considering that the fault occurs once; and judging that the circuit is in fault after 3 continuous calculation cycles, and considering that the circuit is in fault arc.
Further: the current acquisition module is arranged on the parameter acquisition module and used for acquiring total instantaneous current signals and other parameters on a trunk line, the voltage acquisition module is arranged on the intelligent socket connected with a load, the intelligent socket acquires instantaneous voltage signals loaded on the branch line in real time and transmits related data to the parameter acquisition module through a digital communication protocol so as to assist the parameter acquisition module in judging whether a fault electric arc occurs or not.
Further: the threshold value 1 to the threshold value 10 compared with each characteristic information are used for comprehensively analyzing the load type according to the characteristic information calculated in real time and then carrying out self-adaptive adjustment.
Further: and the judgment of whether the detected circuit runs with a load is carried out by calculating the effective value (RMS) of the current signal and continuously judging whether the numerical value of the effective value is more than 0.15A in 10 continuous periods, if the numerical value of the effective value is more than 0.15A in 10 continuous periods, the detected circuit is judged to run with the load, and simultaneously, a fault arc detection program starts to run.
Compared with the prior art, the invention has the beneficial effects that: the fault arc detection method can realize fault arc detection of a multi-load circuit, has a self-adaptive identification function, and improves the accuracy and reliability of fault arc detection.
Description of the drawings:
fig. 1 is an arc detection flow diagram of a multi-load fault arc detection method incorporating a parameter acquisition module and a smart jack in accordance with the present invention.
Fig. 2 is a schematic diagram of an apparatus for multiple load fault arc detection in combination with a parameter acquisition module and a smart jack according to the present invention.
Fig. 3 is a schematic diagram of characteristic information SF of a multi-load circuit current signal of a multi-load fault arc detection method incorporating a parameter acquisition module and a smart socket according to the present invention.
Fig. 4 is a schematic diagram of characteristic information THD of a multi-load circuit current signal of a multi-load fault arc detection method in combination with a parameter acquisition module and a smart socket according to the present invention.
Fig. 5 is a schematic diagram of characteristic information SF of a multi-load circuit voltage signal of a multi-load fault arc detection method in combination with a parameter acquisition module and a smart socket according to the present invention.
Fig. 6 is a schematic diagram of characteristic information THD of a multi-load circuit voltage signal of a multi-load fault arc detection method in combination with a parameter acquisition module and a smart socket according to the present invention.
The specific implementation mode is as follows:
the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The invention discloses a multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket. Fig. 1 is a flow chart of arc detection of a multi-load fault arc detection method in combination with a parameter acquisition module and a smart socket. Firstly, the system runs, real-time instantaneous voltage signals and instantaneous current signals are continuously obtained, and then whether the current circuit is started or not needs to be judged, namely whether an accessed load runs or not needs to be judged. If the circuit is judged not to be started, the effective value (RMS) of the current needs to be continuously calculated according to the obtained instantaneous current signal, and if the effective values of the current in 10 continuous calculation periods are all larger than 0.15A, the circuit is judged to be started currently; if the circuit is judged to be started, a fault arc detection program starts to run, corresponding characteristic information needs to be calculated according to collected voltage signals and current signals, corresponding characteristic threshold values are adaptively adjusted according to calculated characteristic information values, then comprehensive comparison is carried out on the characteristic information and the characteristic information which is calculated in real time, if more than 8 characteristic information exceeds the corresponding characteristic threshold values in a calculation period, one error is reported, if errors are reported in 3 continuous calculation periods, the circuit is considered to have fault arcs, and fault signals are sent out through a parameter acquisition module.
A multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket is characterized in that characteristic information used for analyzing voltage signals and current signals comprises a waveform factor SF, a peak factor CF, a kurtosis factor KV, a pulse factor IF and a total harmonic distortion rate THD.
Specifically, the method comprises the following steps: form factor
Wherein N is 128, xiIs the instantaneous current or voltage signal at time i.
Specifically, the method comprises the following steps: crest factor
Wherein N is 128, xiIs the instantaneous current or voltage signal at time i.
Specifically, the method comprises the following steps: kurtosis factor
Wherein N is 128, xiIs the instantaneous current or voltage signal at time i.
Specifically, the method comprises the following steps: pulse factor
Wherein N is 128, xiIs the instantaneous current or voltage signal at time i.
Specifically, the method comprises the following steps: total harmonic distortion rate
Wherein I1For the amplitude of the 1 st harmonic after FFT, i.e. the fundamental amplitude, IhFor h-th harmonic after FFTThe amplitude of the wave.
Specifically, the method comprises the following steps: as shown in fig. 2, a schematic diagram of an apparatus for detecting a multi-load fault arc by combining a parameter acquisition module and an intelligent socket is shown, where two apparatuses are required to be combined in the multi-load fault arc detection method by combining the parameter acquisition module and the intelligent socket: the intelligent power grid intelligent socket comprises a parameter acquisition module and an intelligent socket, wherein the parameter acquisition module needs to be installed on a trunk of a power grid access load to acquire a total instantaneous current signal and other electric parameters on the trunk. The intelligent socket is installed on the branch and connected with the load end, can automatically collect instantaneous voltage signals on the branch, and simultaneously sends data to the parameter collection module through a digital communication protocol, so that the auxiliary parameter collection module judges whether a circuit has a fault arc according to collected current signals and voltage signals.
The current and voltage signals of the circuit show different characteristic information when in normal operation and when in arc fault, and the time domain characteristic information SF and the frequency domain characteristic information THD are taken as examples in the following.
As shown in fig. 3, it is a parameter comparison diagram of current signal time domain characteristic information SF during normal operation and arc fault in a multi-load circuit, and it can be seen that the value of SF during normal operation of the circuit is between 1.125-1.130, and the value of SF during arc fault is between 1.145-1.160, and it can be seen that the value of SF is greater than that during normal operation when fault occurs, and this diagram can use the characteristic information SF of current greater than threshold 1 as a criterion for determining whether a fault arc occurs.
As shown in fig. 4, which is a parameter comparison diagram of frequency domain characteristic information THD of current signals during normal operation and arc fault in a multi-load circuit, it can be seen that the value of THD during normal operation of the circuit is between 5.7 and 7.1, and the value of THD during arc fault is between 8.8 and 11.2, and it can be observed that the value of THD is greater than that during normal operation when fault occurs, and this diagram can use the characteristic information THD of current greater than the threshold 5 as a criterion for determining whether a fault arc occurs.
As shown in fig. 5, it is a parameter comparison diagram of voltage signal time domain characteristic information SF during normal operation and arc fault in a multi-load circuit, and it can be seen that the value of SF during normal operation of the circuit is between 1.108 and 1.110, and the value of SF during arc fault is between 1.112 and 1.128, and it can be seen that the value of SF is greater than that during normal operation when fault occurs, and this diagram can use the characteristic information SF of voltage greater than threshold 6 as a criterion for determining whether a fault arc occurs.
As shown in fig. 6, which is a parameter comparison diagram of frequency domain characteristic information THD of voltage signals during normal operation and arc fault in a multi-load circuit, it can be seen that the value of THD during normal operation of the circuit is between 2.5 and 2.7, and the value of THD during arc fault is between 3.2 and 4.5, and it can be observed that the value of THD is greater than that during normal operation when fault occurs, and this diagram can use the characteristic information THD of current greater than the threshold 10 as a criterion for determining whether a fault arc occurs.
The invention relates to a multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket, which can be used for effectively and adaptively identifying and judging fault arcs of a single-load simple circuit and a multi-load complex circuit by combining characteristic information of multiple dimensions of current signals and voltage signals and comprehensively judging the rough type and the electrical parameters of a load through the characteristic information so as to dynamically adjust a characteristic threshold, and has higher accuracy and lower false alarm rate and stronger adaptability.
The technical solution of the present invention is described in detail above. The present invention and the related scope are considered plagiarisms.
Claims (4)
1. A multi-load fault arc detection method combining a parameter acquisition module and an intelligent socket is characterized by comprising the following steps:
firstly, a current acquisition module acquires an instantaneous current signal of a detected circuit at a rate of 128 points per cycle;
secondly, the voltage acquisition module acquires instantaneous voltage signals of the detected circuit at a rate of 128 points per cycle;
judging whether the detected circuit has load operation or not through the instantaneous current signal;
fourthly, after the operation with the load is judged, corresponding characteristic information is respectively calculated by using the instantaneous voltage signal and the instantaneous current signal, and whether the fault electric arc occurs is judged by taking the average value of the characteristic information.
2. The method of claim 1, wherein the method comprises the steps of: the characteristic information of the instantaneous current signal and the instantaneous voltage signal comprises time domain characteristic information and frequency domain characteristic information: a form factor SF, a peak factor CF, a kurtosis factor KV, a pulse factor IF, a total harmonic distortion THD; when the current signal waveform factor SF is larger than the threshold value 1, an error point is regarded as; when the peak factor CF of the current signal is larger than the threshold value 2, an error point is considered; when the kurtosis factor KV of the current signal is larger than a threshold value 3, regarding the current signal as an error point; when the pulse factor IF of the current signal is larger than a threshold value 4, an error point is regarded; when the total harmonic distortion rate THD of the current signal is larger than a threshold value 5, regarding as an error point; when the voltage signal form factor SF is larger than the threshold value 6, an error point is considered; when the voltage signal peak factor CF is larger than the threshold value 7, an error point is considered; when the kurtosis factor KV of the voltage signal is larger than a threshold value 8, an error point is regarded as; when the pulse factor IF of the voltage signal is larger than the threshold value 9, an error point is considered; when the total harmonic distortion rate THD of the voltage signal is larger than a threshold value 10, regarding the voltage signal as an error point; if the error points are more than or equal to 8, judging a fault; and judging that the circuit has a fault arc if the fault is judged in 3 continuous calculation cycles.
3. The method of claim 1, wherein the method comprises the steps of: the current acquisition module is arranged on the parameter acquisition module and used for acquiring total instantaneous current signals and other parameters on a trunk line, the voltage acquisition module is arranged on the intelligent socket connected with a load, the intelligent socket acquires instantaneous voltage signals of the load on the branch line in real time and transmits related data to the parameter acquisition module through a digital communication protocol so as to assist the parameter acquisition module in judging whether fault electric arcs occur.
4. The method of claim 1, wherein the method comprises the steps of: and judging whether the detected circuit runs with a load or not by calculating an effective value (RMS) of the current signal and continuously judging whether the effective value is greater than 0.15A in 10 continuous periods, and if the effective value is greater than 0.15A in 10 continuous periods, judging that the detected circuit runs with the load and starting to run a fault arc detection program.
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