CN109945988A - A kind of Internet of Things breaker line temperature high-precision detecting method and device - Google Patents
A kind of Internet of Things breaker line temperature high-precision detecting method and device Download PDFInfo
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- CN109945988A CN109945988A CN201910130366.3A CN201910130366A CN109945988A CN 109945988 A CN109945988 A CN 109945988A CN 201910130366 A CN201910130366 A CN 201910130366A CN 109945988 A CN109945988 A CN 109945988A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 37
- 239000000523 sample Substances 0.000 claims abstract description 30
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims abstract description 19
- 239000000741 silica gel Substances 0.000 claims abstract description 19
- 229910002027 silica gel Inorganic materials 0.000 claims abstract description 19
- 238000001514 detection method Methods 0.000 claims description 16
- 230000001186 cumulative effect Effects 0.000 claims description 14
- 230000009466 transformation Effects 0.000 claims description 9
- 230000000694 effects Effects 0.000 claims description 8
- 229920002379 silicone rubber Polymers 0.000 claims description 8
- 238000009529 body temperature measurement Methods 0.000 claims description 7
- 239000004020 conductor Substances 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims 2
- 239000003292 glue Substances 0.000 claims 2
- 229910052710 silicon Inorganic materials 0.000 claims 2
- 239000010703 silicon Substances 0.000 claims 2
- 230000005611 electricity Effects 0.000 abstract description 7
- 238000011897 real-time detection Methods 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 4
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 4
- 238000000354 decomposition reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000035772 mutation Effects 0.000 description 2
- 229910052697 platinum Inorganic materials 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 239000004519 grease Substances 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229920001296 polysiloxane Polymers 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000010092 rubber production Methods 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Abstract
The present invention relates to a kind of Internet of Things breaker line temperature high-precision detecting method and devices, wherein this method comprises: step 1, using silica gel probe as the temperature signal of temperature sensor acquisition Internet of Things circuit breaker internal key position；Wherein, the key position includes input terminal, outlet terminal and switch contact；Step 2, depth analysis is carried out based on temperature signal of the Algorithms of Wavelet Analysis to acquisition, obtains the exact value of Internet of Things breaker line temperature.The present invention is monitored by disengaging line terminals and inner contact temperature of the probe to intelligent breaker, real-time detection breaker key point temperature, timely early warning, can more preferably meet intelligent breaker scene requirement, guarantees the safety and stability of live electricity consumption.
Description
Technical field
The invention belongs to breaker technical field more particularly to a kind of Internet of Things breaker line temperature high-precision detection sides
Method and device.
Background technique
Have a large amount of intelligent micro-circuit breakers currently on the market applied to grid-connected distribution box, in intelligent building building,
The long-range control of electricity consumption is realized, it is more and more convenient using electric control.Although current intelligent breaker is realized in terms of control
Long-range control switching, but there is no the safety problem for solving conventional circuit breaker itself and scene uses, it is mainly manifested in:
When breaker uses at the scene if there is wire material mismatch, or do not tighten and heavy load be powered, can all cause
Breaker inlet-outlet line contact point and inner contact temperature are excessively high, and breaker cisco unity malfunction or route is caused to burn.
The safety and stability of the unfavorable electricity consumption on site of the above failure.
Summary of the invention
The object of the present invention is to provide a kind of Internet of Things breaker line temperature high-precision detecting method and devices, pass through spy
Inlet-outlet line and inner contact temperature for intelligent breaker are monitored, real-time detection breaker key point temperature, in time
Early warning guarantees the safety and stability of live electricity consumption preferably to meet intelligent breaker scene requirement.
The present invention provides a kind of Internet of Things breaker line temperature high-precision detecting methods, comprising:
Step 1, believed using silica gel probe as the temperature of temperature sensor acquisition Internet of Things circuit breaker internal key position
Number；Wherein, key position includes input terminal, outlet terminal and switch contact；
Step 2, depth analysis is carried out based on temperature signal of the Algorithms of Wavelet Analysis to acquisition, obtains Internet of Things breaker line
The exact value of road temperature.
2, Internet of Things breaker line temperature high-precision detecting method according to claim 1, which is characterized in that step
Conductor structure is made by the silicon rubber with high thermal conductivity effect in silica gel probe in rapid 1.
Further, step 2 includes:
Based on wavelet transformation multiresolution analysis method, Wavelet Denoising Method is carried out to temperature signal, the temperature letter after being denoised
Number；
Multiple cumulative mean is carried out to the temperature signal after denoising, obtains accurate temperature value.
Further, small echo is Haar small echo.
The present invention also provides a kind of Internet of Things breaker line temperature high-precision detection devices, including disconnected set on Internet of Things
Silica gel probe inside the device of road, silica gel probe and the input terminal, outlet terminal and switch contact of Internet of Things circuit breaker internal connect
Touching connection, for acquiring input terminal, outlet terminal and the temperature signal of switch contact, and by temperature signal real-time Transmission to micro-
Disconnected controller.
Further, conductor structure is made by the silicon rubber with high thermal conductivity effect in silica gel probe.
Further, the temperature measurement range of silica gel probe is -60~+155 DEG C, and measurement error is 1 DEG C.
Further, micro- disconnected controller includes depth analysis module, and depth analysis module is used to be based on Algorithms of Wavelet Analysis
Depth analysis is carried out to the temperature signal of acquisition, obtains the exact value of Internet of Things breaker line temperature.
Further, depth analysis module is based on wavelet transformation multiresolution analysis method, carries out small echo to temperature signal and goes
It makes an uproar, the temperature signal after being denoised；
Multiple cumulative mean is carried out to the temperature signal after denoising, obtains accurate temperature value.
Further, small echo is Haar small echo.
Compared with prior art the beneficial effects of the present invention are:
It is monitored by disengaging line terminals and inner contact temperature of the probe to intelligent breaker, real-time detection open circuit
Device key point temperature, timely early warning can more preferably meet intelligent breaker scene requirement, guarantee that the safety of live electricity consumption is steady
It is fixed.
Detailed description of the invention
Fig. 1 is a kind of Internet of Things breaker line temperature high-precision detection device embodiment one of the present invention；
Fig. 2 is a kind of Internet of Things breaker line temperature high-precision detection device embodiment two of the present invention；
Fig. 3 is a kind of Internet of Things breaker line temperature high-precision detection device embodiment three of the present invention；
Fig. 4 is a kind of Internet of Things breaker line temperature high-precision detection device example IV of the present invention；
Fig. 5 is the signal temperature carried out before Wavelet Denoising Method using the present invention；
Fig. 6 is the signal temperature carried out after Wavelet Denoising Method using the present invention；
Fig. 7 is the temperature signal carried out after 10000 cumulative means of Wavelet Denoising Method using the present invention；
Fig. 8 is to carry out Wavelet Denoising Method using the present invention to add the temperature signal after 2000 cumulative means.
Specific embodiment
The present invention is described in detail for each embodiment shown in reference to the accompanying drawing, but it should be stated that, these
Embodiment is not limitation of the present invention, those of ordinary skill in the art according to these embodiments made by function, method,
Or equivalent transformation or substitution in structure, all belong to the scope of protection of the present invention within.
Present embodiments provide a kind of Internet of Things breaker line temperature high-precision detecting method, comprising:
Step 1, believed using silica gel probe as the temperature of temperature sensor acquisition Internet of Things circuit breaker internal key position
Number；Wherein, key position includes input terminal, outlet terminal and switch contact；
Step 2, depth analysis is carried out based on temperature signal of the Algorithms of Wavelet Analysis to acquisition, obtains Internet of Things breaker line
The exact value of road temperature.
It, can be compact in Intelligent internet of things breaker by the Internet of Things breaker line temperature high-precision detecting method
In space, by integrated accurately and reliably probe temperature detection function, to the temperature real-time detection of key position, it is ensured that use at scene
Electric is safe and reliable.
In the present embodiment, by the silicon rubber (silicone grease) with high thermal conductivity effect conducting wire knot is made in silica gel probe in step 1
Structure.
In the present embodiment, step 2 includes:
Based on wavelet transformation multiresolution analysis method, Wavelet Denoising Method is carried out to temperature signal, the temperature letter after being denoised
Number；
Multiple cumulative mean is carried out to the temperature signal after denoising, obtains accurate temperature value.
In the present embodiment, small echo is Haar small echo.
Join shown in Fig. 1 to Fig. 4, it is real in the application of different type Internet of Things breaker that Fig. 1 to Fig. 4 shows silica gel probe
Example.
The present embodiment additionally provides a kind of Internet of Things breaker line temperature high-precision detection device, including is set to Internet of Things
Input terminal, outlet terminal and the switch of silica gel probe 2 inside breaker 1, silica gel probe 2 and Internet of Things circuit breaker internal touch
Point contact connection, for acquiring input terminal, outlet terminal and the temperature signal of switch contact, and by temperature signal real-time Transmission
To micro- disconnected controller.
In the present embodiment, conductor structure is made by the silicon rubber with high thermal conductivity effect in silica gel probe 2.
In the present embodiment, the temperature measurement range of silica gel probe 2 is -60~+155 DEG C, and measurement error is 1 DEG C.
In the present embodiment, micro- disconnected controller includes depth analysis module, and depth analysis module is used to be based on wavelet analysis
Algorithm carries out depth analysis to the temperature signal of acquisition, obtains the exact value of Internet of Things breaker line temperature.
In the present embodiment, depth analysis module is based on wavelet transformation multiresolution analysis method, carries out to temperature signal small
Wave denoising, the temperature signal after being denoised；
Multiple cumulative mean is carried out to the temperature signal after denoising, obtains accurate temperature value.
In the present embodiment, small echo is Haar small echo.
The Internet of Things breaker line temperature high-precision detecting method and device provided through this embodiment, is visited using silica gel
It is measured in real time for the temperature signal of Internet of Things circuit breaker internal key position, and using Algorithms of Wavelet Analysis to the temperature
Signal carries out high accuracy analysis, and implementable switching or telecommunication check that field device operation conditions operates.
It can meet the live requirement of different user with real-time detection Internet of Things breaker temperature through the invention, make
Internet of Things breaker reaches positive and negative 1 DEG C in temperature detecting precision, and refresh time most short needs 1 second.Pass through real time temperature measurement
And control, the Electrical Safety of equipment at the scene and quick response when abnormal can be effectively improved, is Internet of Things breaker
The safe and reliable operation of equipment and maintenance provide safeguard.
Invention is further described in detail below.
The present invention uses highly heat-conductive material silicon rubber, and special-shaped probe is made, will be anisotropic by optimizing structural member body design
Probe structural member assemble when be embedded in inside, respectively Internet of Things breaker inlet wire connecting terminal, outlet connecting terminal and
Contact metal nearby fixes probe, and the sampling cable interface of probe is then connected to intelligence electricity behaviour module (micro- disconnected controller)
On, sampled by AD and complete temperature real-time sampling, then intelligence electricity behaviour module is by deep learning, using Algorithms of Wavelet Analysis into
The depth analysis of row sample temperature realizes the high-precision detection of Internet of Things breaker line temperature.
There are also frequency domains can generate good localized variation characteristic simultaneously for time domain for wavelet transformation, and has to signal good
Good adaptability is come to make most signal that can extract from initial data.The present invention utilizes Algorithms of Wavelet Analysis
Current signal is analyzed in the route detected to probe, can not only be reflected the mutation that current signal generates, can also be examined
The size that this mutation generates is measured, achievees the purpose that improve to judge line temperature accuracy.
Under normal circumstances, useful temperature information frequency is lower, and the frequency of noise is higher；The noise intensity of signal is in loudspeaker
Shape, proximal end is small, and distal end is big.As shown in Figure 5.
Its influence can be reduced by a large amount of cumulative mean due to the randomness of noise for such signal.This reality
It applies example and accurate temperature value is obtained using the method for cumulative mean.It facts have proved that the method is highly effective, but a large amount of add up is led
It causes temperature measurement period to increase, influences its practical application effect.Using the principle of wavelet transformation multiresolution analysis, signal is carried out
Wavelet decomposition, approximation coefficient and detail coefficients on available each scale.The wavelet decomposition of multiresolution analysis has following
Relationship:
S=cA3+cD3+cD2+cD1；
It, can be low frequency part cA if further decomposed3Resolve into low frequency part cA4And high frequency section
cD4, decompose then that the rest may be inferred again below.By the above decomposable process, original signal S is broken down into the son letter of different frequency ingredient
Number.According to the characteristic distributions of noise, it is concentrated mainly on high frequency section, and signal is mostly in low frequency part, therefore only need to be by part
High frequency coefficient becomes 0, can filter most of high-frequency noise, then carry out wavelet reconstruction again.But still contain in signal at this time
There is a small amount of low-frequency noise, influences the accurate of temperature.For this purpose, carrying out a small amount of cumulative mean to signal again, that is, can reach required
Temperature resolution.When the signal-to-noise ratio of signal is very low, the Haar small echo with fine regularity is selected, it can be very well by the low of signal
Frequently, high frequency is separated, while the useful temperature information as far as possible in stick signal.Small wavelength-division can be determined using the standard based on entropy
The series N of solution.
The Shannon entropy of signal s={ s (k) } is defined as:
P (k) in formula=| s (k) | 2/ | | s | |2It is the standardization energy of k-th of element of signal.As p=0, Plog
(1/p)=0.Shannon entropy is asked to original signal S and N grades of detail coefficients respectively, if the entropy and original signal of detail coefficients
The ratio between entropy can be ignored (less than 4%), then it is assumed that decomposed class at this time has been met the requirements.To save the time, it is not required to
It further to decompose.For signal shown in Fig. 5, by the cD after decomposition1、cD2Wavelet reconstruction is carried out again, is believed as shown in Figure 6
Number.The amplitude of comparison diagram 5 and Fig. 6 discovery noise declines to a great extent, and frequency reduces, and signal-to-noise ratio is effectively improved.Guaranteeing temperature
Under the premise of resolution ratio, temperature measurement period can be shortened using the method that Wavelet Denoising Method adds time cumulative mean by a relatively large margin, mentioned
The practicability of high system.
In one embodiment, 10000 cumulative means, obtained structure such as Fig. 7 only are carried out to original temperature signal
It is shown.
In another embodiment, multiresolution analysis is carried out to the original temperature signal in route, selects Haar small echo
Function, using wavelet reconstruction, temperature signal after being denoised finally carries out 2000 superposed averages on this basis, obtains
To result shown in Fig. 8.Comparison diagram 7 and Fig. 8 are as it can be seen that under the premise of guaranteeing temperature resolution, using Wavelet Denoising Method plus 2000 times
The method of cumulative mean can shorten temperature measurement period by a relatively large margin, improve the practicability of system.
The present invention carries out the method for temperature detection using the probe of highly heat-conductive material silicon rubber production and tradition uses temperature-sensitive
The temp measuring method of resistance or platinum resistance thermometer sensor, is compared to (thermistor resistance value and temperature are in non-linear relation, stability and interchangeability
Difference, measurement range is between -40~200 DEG C；Platinum resistance thermometer sensor, resistance increases with increasing temperature, and resistance value is in temperature
Linear relationship, higher cost cause parameter to change vulnerable to vibration), have it is at low cost, be easily installed, shock resistance is good
Technical effect has preferable practical value for the function and user experience that promote intelligence open circuit.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.
Claims (10)
1. a kind of Internet of Things breaker line temperature high-precision detecting method characterized by comprising
Step 1, using silica gel probe as the temperature signal of temperature sensor acquisition Internet of Things circuit breaker internal key position；Its
In, the key position includes input terminal, outlet terminal and switch contact；
Step 2, depth analysis is carried out based on temperature signal of the Algorithms of Wavelet Analysis to acquisition, obtains Internet of Things breaker route temperature
The exact value of degree.
2. Internet of Things breaker line temperature high-precision detecting method according to claim 1, which is characterized in that step 1
Described in silica gel probe conductor structure is made by the silicon rubber with high thermal conductivity effect.
3. Internet of Things breaker line temperature high-precision detecting method according to claim 1, which is characterized in that the step
Rapid 2 include:
Based on wavelet transformation multiresolution analysis method, Wavelet Denoising Method is carried out to the temperature signal, the temperature letter after being denoised
Number；
Multiple cumulative mean is carried out to the temperature signal after denoising, obtains accurate temperature value.
4. Internet of Things breaker line temperature high-precision detecting method according to claim 3, which is characterized in that described small
Wave is Haar small echo.
5. a kind of Internet of Things breaker line temperature high-precision detection device, which is characterized in that including being set to Internet of Things breaker
Input terminal, outlet terminal and the switch of internal silica gel probe, the silica gel probe and the Internet of Things circuit breaker internal touch
Point contact connection, for acquiring the input terminal, outlet terminal and the temperature signal of switch contact, and by the temperature signal
Real-time Transmission is to micro- disconnected controller.
6. Internet of Things breaker line temperature high-precision detection device according to claim 5, which is characterized in that the silicon
Conductor structure is made by the silicon rubber with high thermal conductivity effect in glue probe.
7. Internet of Things breaker line temperature high-precision detection device according to claim 6, which is characterized in that the silicon
The temperature measurement range of glue probe is -60~+155 DEG C, and measurement error is 1 DEG C.
8. Internet of Things breaker line temperature high-precision detection device according to claim 5, which is characterized in that described micro-
Disconnected controller includes depth analysis module, and the depth analysis module is used for based on Algorithms of Wavelet Analysis to the temperature signal of acquisition
Depth analysis is carried out, the exact value of Internet of Things breaker line temperature is obtained.
9. Internet of Things breaker line temperature high-precision detection device according to claim 8, which is characterized in that the depth
It spends analysis module and is based on wavelet transformation multiresolution analysis method, Wavelet Denoising Method is carried out to the temperature signal, after being denoised
Temperature signal；
Multiple cumulative mean is carried out to the temperature signal after denoising, obtains accurate temperature value.
10. Internet of Things breaker line temperature high-precision detection device according to claim 9, which is characterized in that described
Small echo is Haar small echo.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002090413A (en) * | 2000-09-18 | 2002-03-27 | Toshiba Corp | Diagnostic apparatus for insulation abnormality of high- voltage device |
| CN1553206A (en) * | 2003-12-18 | 2004-12-08 | 西安交通大学 | Electric power apparatus external insulative leakage current on-line monitoring system in converting station |
| CN1799013A (en) * | 2003-06-05 | 2006-07-05 | 罗斯蒙德公司 | Process device diagnostics using process variable sensor signal |
| JP2007041686A (en) * | 2005-08-01 | 2007-02-15 | Oki Denki Bosai Kk | Temperature sensor and fire sensor |
| CN103033715A (en) * | 2012-12-25 | 2013-04-10 | 山东电力集团公司电力科学研究院 | Operating status detection system for area equipment in converting station |
| CN107342576A (en) * | 2017-06-05 | 2017-11-10 | 江苏尚坤电力安装有限公司 | A kind of high-tension switch cabinet on-line monitoring and early warning guard method and its system |
| CN107631863A (en) * | 2017-08-21 | 2018-01-26 | 西安工程大学 | Mechanical characteristic of high-voltage circuit breaker monitoring system and its monitoring method |
| CN108181052A (en) * | 2018-01-09 | 2018-06-19 | 中国计量大学 | A kind of temperature detection signal denoising method and system |
| US20180262525A1 (en) * | 2017-03-09 | 2018-09-13 | General Electric Company | Multi-modal, multi-disciplinary feature discovery to detect cyber threats in electric power grid |
| CN108562828A (en) * | 2018-03-14 | 2018-09-21 | 哈尔滨理工大学 | The method for improving electrical network low voltage ride-through capability based on Wavelet Detection |
| CN209559367U (en) * | 2019-02-21 | 2019-10-29 | 中电科安科技股份有限公司 | A kind of Internet of Things breaker line temperature high-precision detection device |
-
2019
- 2019-02-21 CN CN201910130366.3A patent/CN109945988A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002090413A (en) * | 2000-09-18 | 2002-03-27 | Toshiba Corp | Diagnostic apparatus for insulation abnormality of high- voltage device |
| CN1799013A (en) * | 2003-06-05 | 2006-07-05 | 罗斯蒙德公司 | Process device diagnostics using process variable sensor signal |
| CN1553206A (en) * | 2003-12-18 | 2004-12-08 | 西安交通大学 | Electric power apparatus external insulative leakage current on-line monitoring system in converting station |
| JP2007041686A (en) * | 2005-08-01 | 2007-02-15 | Oki Denki Bosai Kk | Temperature sensor and fire sensor |
| CN103033715A (en) * | 2012-12-25 | 2013-04-10 | 山东电力集团公司电力科学研究院 | Operating status detection system for area equipment in converting station |
| US20180262525A1 (en) * | 2017-03-09 | 2018-09-13 | General Electric Company | Multi-modal, multi-disciplinary feature discovery to detect cyber threats in electric power grid |
| CN107342576A (en) * | 2017-06-05 | 2017-11-10 | 江苏尚坤电力安装有限公司 | A kind of high-tension switch cabinet on-line monitoring and early warning guard method and its system |
| CN107631863A (en) * | 2017-08-21 | 2018-01-26 | 西安工程大学 | Mechanical characteristic of high-voltage circuit breaker monitoring system and its monitoring method |
| CN108181052A (en) * | 2018-01-09 | 2018-06-19 | 中国计量大学 | A kind of temperature detection signal denoising method and system |
| CN108562828A (en) * | 2018-03-14 | 2018-09-21 | 哈尔滨理工大学 | The method for improving electrical network low voltage ride-through capability based on Wavelet Detection |
| CN209559367U (en) * | 2019-02-21 | 2019-10-29 | 中电科安科技股份有限公司 | A kind of Internet of Things breaker line temperature high-precision detection device |
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