CN107422218A - Bad load recognizer and recognition methods - Google Patents
Bad load recognizer and recognition methods Download PDFInfo
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- CN107422218A CN107422218A CN201710884387.5A CN201710884387A CN107422218A CN 107422218 A CN107422218 A CN 107422218A CN 201710884387 A CN201710884387 A CN 201710884387A CN 107422218 A CN107422218 A CN 107422218A
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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
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Abstract
The invention discloses a kind of bad load recognizer in safety utilization of electric power and field of energy-saving technology and recognition methods, the identifier includes MCU and connected electric energy metering module, memory module, AD sampling modules, communication module, Control and detection module, and each module realizes the effects such as data acquisition and processing (DAP), metering electricity consumption, data storage, waveform sampling, data communication, state of a control respectively；This method includes the steps such as beginning, sampling, the sampling of overpower threshold decision, Wave data, waveform separation, phase difference analysis, the processing of waveform similarity analysis, electric conductivity value, sine wave judgement and bad load processing.The present invention is not high to the accuracy of identification of bad load for existing technology, and the defects of can not identify some special bad load equipment, its accuracy of identification is high, reduces erroneous judgement probability, while recognizable special bad load equipment.
Description
Technical field
The present invention relates to safety utilization of electric power and field of energy-saving technology, specifically, be related to a kind of bad load recognizer and
Recognition methods.
Background technology
In recent years, as the continuous expansion of high school scale, number of student steeply rise, many colleges and universities all carry out logistics management
Socialization, at the same time, the report on College Students ' Apartments fire incident are also increasing.Show according to related data, it is this kind of
Fire is due to largely that student breaks rules and regulations caused by using the high-power resistive loads such as immersion heater, Electric stove.To prevent such thing
Therefore generation, on the premise of student's normal electricity consumption is ensured, limit the use of high-power resistive load, ensure the peace of student's electricity consumption
Full property is urgent problem to be solved, therefore the research of bad load identification is significant.
Load recognizer in the market has 3 kinds：
(1) power identification controller：Such identifier using power as identification parameter, more than default power threshold when, be
System automatic trip.
(2) bad load recognizer of analogue technique：The advantages of product is that cost is relatively low, positive effect, in general
High-power resistive electrothermal load can identify solve the problems, such as the safety utilization of electric power of students' dormitory substantially substantially.
(3) bad load recognizer of digital technology：Using singlechip technology, judge load to active power, idle work(
The influence of rate, apparent energy（I.e. to the influence of power factor）, carry out the identification of bad load.
But the accuracy of identification of above-mentioned three kinds of load recognizers is not high, and it can not identify that some special bad loads are set
It is standby, such as current curve is the sinusoidal wave device being truncated, current curve is sine wave and dephased equipment etc..
The content of the invention
In order to overcome the shortcomings of existing technology, the present invention provides a kind of bad load recognizer and recognition methods.
Technical solution of the present invention is as described below：
On the one hand, a kind of bad load recognizer, it is characterised in that including MCU, electric energy metering module, memory module, AD samplings
Module, communication module and Control and detection module, the electric energy metering module, the communication module, the storage
Module, the AD sampling modules and the Control are connected with detection module with the MCU；
The MCU is controlled to each module, and data are acquired and handled；
The electric energy metering module is acquired to electric power data, and measures power consumption；
The parameter that memory module storage current power data, waveform sampling data and the user are set；
The AD sampling modules carry out the sampling of voltage, current waveform；
The communication module is connected by wired or wireless way with collector, completes the communication of server and identifier；
The Control detects the current time of day of relay, and the tripping operation and conjunction of control relay in real time with detection module
Lock.
According to the present invention of such scheme, it is characterised in that the communication module carries out wire communication by RS-485.
According to the present invention of such scheme, it is characterised in that the communication module is communicated by zigbee communication modules, 4G
Module or 470 communication modules carry out radio communication.
According to the present invention of such scheme, it is characterised in that also including LCD MODULE, the LCD MODULE with
The MCU connections, the LCD MODULE show the failure shape of current parameters of electric power, power consumption and current identifier
State.
On the other hand, a kind of recognition methods of bad load recognizer, it is characterised in that comprise the following steps：
Step 1, start, carry out the initialization of data；
Wave data samples before step 2, load start；
Step 3, overpower threshold values judge, during Wave data sampling before load starts, judge whether step power is big
In the threshold values set by user, such as if so, the sampling of Wave data before load starts will be stopped, and proceeded in next step, if
It is invalid, then return to step 2；
Wave data samples after step 4, load start；
Step 5, waveform separation；
Step 6, phase difference analysis, by the difference waveform of electric current compared with voltage waveform, judge whether phase difference, if
There is no phase difference then directly to carry out in next step, if there is phase difference, carrying out phase difference processing, it is zero to make its phase difference, then is carried out
In next step；
Step 7, waveform similarity analysis, by voltage waveform data and current differential Wave data, waveform similarity analysis is carried out, works as phase
During like degree in fixed range, it is believed that the load of addition is bad load, will be directed into bad load processing, otherwise enters
To in next step；
Step 8, electric conductivity value processing, in voltage waveform and current differential waveform dissmilarity, carry out electric conductivity value processing；
Step 9, sine wave judgement is truncated, by the processing of electric conductivity value, if occurring the electricity in one section of continuous time point in result
It is 0 to lead value convergence, and the electric conductivity value in one section of continuous time point levels off to equal, then it is assumed that the difference waveform of electric current is a part
The sine wave being truncated, bad load processing step is will be directed into, on the contrary then resampling Wave data, is waited next time
Changed power；
Step 10, bad load processing, after detecting that bad load accesses power network, set according to user and device alarm is identified
Or tripping operation, then resampling Wave data, waits changed power next time.
According to the present invention of such scheme, it is characterised in that the step 2 includes the sampling of voltage and current waveform.
According to the present invention of such scheme, it is characterised in that in the step 5, Wave data is adopted after load starts
Sample is completed, and starting front and rear current waveform data using load is subtracted each other to obtain the difference waveform of electric current, so as to complete waveform
Separation.
According to the present invention of such scheme, it is characterised in that in the step 8, by voltage waveform data and difference between current
Value Wave data carries out, by a division operation, obtaining electric conductivity value Rn.
According to the present invention of such scheme, its advantage is, the present invention can not only realize the basic metering work(of ammeter
Can, and the monitoring of parameters of electric power.The identification to bad load can also be met, its accuracy of identification is high, reduces erroneous judgement probability,
It also can recognize that simultaneously and be directed to existing bad load identification technology, and the equipment to bad load remodeling created（It is such as controllable
Silicon socket）；The present invention also supports teledata is copied to set, and remote relay control, utilizes the management of power use.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention.
Fig. 2 is the identification process figure of the present invention.
Embodiment
Below in conjunction with the accompanying drawings and the present invention is further described embodiment：
As shown in figure 1, bad load recognizer, including MCU, electric energy metering module, LCD MODULE, memory module, AD are adopted
Egf block, communication module and Control and detection module, electric energy metering module, LCD MODULE, communication module, deposit
Storage module, AD sampling modules and Control are connected with detection module with MCU.
Wherein：MCU is bi-directionally connected with memory module, communication module and Control and detection module, MCU and liquid crystal
Display module is unidirectionally connected, and electric energy metering module and AD sampling modules are unidirectionally connected with MCU.
MCU：
MCU is nucleus module, and it is controlled to each module, and data are acquired and handled.
Electric energy metering module：
Electric energy metering module is to electric power data（Voltage, electric current, power etc.）It is acquired, and measures power consumption.
LCD MODULE：
LCD MODULE shows the malfunction of current parameters of electric power, power consumption and current identifier.
Memory module：
The parameter that memory module storage current power data, waveform sampling data and user are set.
AD sampling modules：
AD sampling modules carry out the sampling of voltage, current waveform using three road ∑s-Δ ADC.
Communication module：
Communication module is connected by wired or wireless way with collector, the communication of server and identifier is completed, wherein wired
Hardware supported RS-485 is communicated in mode, and zigbee communication modules, 4G communication modules, 470 communication modules are supported in wireless mode
Etc. module.
Server mainly carries out copying for data to bad load recognizer and set, and the remote control of relay；Collection
Device connects bad load recognizer and remote server, plays data connection function.
Control and detection module：
Tripping operation and combined floodgate of the Control with detection module control relay, while relay is detected by relay in real time and worked as
Preceding time of day.
As shown in Fig. 2 a kind of recognition methods of bad load recognizer, comprises the following steps：
1st, start：Carry out the initialization of data.
2nd, Wave data samples before load starts：After system starts, start sampled voltage, current waveform data.
3rd, overpower threshold values judges：During Wave data sampling before load starts, judge whether step power is big
In the threshold values set by user, such as if so, the sampling of Wave data before load starts will be stopped, and proceeded in next step, if
It is invalid, then return to step 2.
4th, Wave data samples after load starts：After step power is more than threshold values, Wave data after triggering load is started
Sampling.
5th, waveform separates：Wave data sampling is completed after load starts, and starts front and rear current wave figurate number using load
According to being subtracted each other to obtain the difference waveform of electric current, so as to complete waveform separation.
6th, phase difference is analyzed：By the difference waveform of electric current compared with voltage waveform, phase difference is judged whether, if
There is no phase difference then directly to carry out in next step, if there is phase difference, carrying out phase difference processing, it is zero to make its phase difference, then is carried out
In next step.
7th, waveform similarity analysis：By voltage waveform data and current differential Wave data, waveform similarity analysis is carried out, works as phase
During like degree in fixed range, it is believed that the load of addition is bad load, will be directed into bad load processing, otherwise enters
To in next step.In the present embodiment, the fixed range of similarity is 0.998-1.
8th, electric conductivity value is handled：In voltage waveform and current differential waveform dissmilarity, electric conductivity value processing is carried out, specifically,
Voltage waveform data and current differential Wave data are carried out by a division operation (AD electric current 1/AD voltages 1......AD electric currents
N/AD voltage n), acquired results R1......Rn.
9th, it is truncated sine wave judgement：By the processing of electric conductivity value, if occurring in result in one section of continuous time point
RI......RJ (I >=1, J≤n) convergence is 0, and RK......RM (K >=1, M≤n) convergence in another section of continuous time point
In equal, then it is assumed that the difference waveform of electric current is the sine wave that a part is truncated, and will be directed into bad load processing
Step, on the contrary then resampling Wave data, wait changed power next time.
10th, bad load is handled：After detecting that bad load accesses power network, set according to user and device alarm is identified
Or tripping operation, then resampling Wave data, waits changed power next time.
It should be appreciated that for those of ordinary skills, can according to the above description be improved or converted,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Exemplary description has been carried out to patent of the present invention above in conjunction with accompanying drawing, it is clear that the realization of patent of the present invention not by
The limitation of aforesaid way, if the various improvement that the methodology of patent of the present invention and technical scheme are carried out are employed, or without
Improve and the design of patent of the present invention and technical scheme are directly applied into other occasions, within the scope of the present invention.
Claims (8)
1. bad load recognizer, it is characterised in that including MCU, electric energy metering module, memory module, AD sampling modules, communication
Module and Control and detection module, it is the electric energy metering module, the communication module, the memory module, described
AD sampling modules and the Control are connected with detection module with the MCU；
The MCU is controlled to each module, and data are acquired and handled；
The electric energy metering module is acquired to electric power data, and measures power consumption；
The parameter that memory module storage current power data, waveform sampling data and the user are set；
The AD sampling modules carry out the sampling of voltage, current waveform；
The communication module is connected by wired or wireless way with collector, completes the communication of server and identifier；
The Control detects the current time of day of relay, and the tripping operation and conjunction of control relay in real time with detection module
Lock.
2. bad load recognizer according to claim 1, it is characterised in that the communication module is carried out by RS-485
Wire communication.
3. bad load recognizer according to claim 1, it is characterised in that the communication module is communicated by zigbee
Module, 4G communication modules or 470 communication modules carry out radio communication.
4. bad load recognizer according to claim 1, it is characterised in that also including LCD MODULE, the liquid
Brilliant display module is connected with the MCU, and the LCD MODULE shows current parameters of electric power, power consumption and current identification
The malfunction of device.
5. the recognition methods of bad load recognizer, it is characterised in that comprise the following steps：
Step 1, start, carry out the initialization of data；
Wave data samples before step 2, load start；
Step 3, overpower threshold values judge, during Wave data sampling before load starts, judge whether step power is big
In the threshold values set by user, such as if so, the sampling of Wave data before load starts will be stopped, and proceeded in next step, if
It is invalid, then return to step 2；
Wave data samples after step 4, load start；
Step 5, waveform separation；
Step 6, phase difference analysis, by the difference waveform of electric current compared with voltage waveform, judge whether phase difference, if
There is no phase difference then directly to carry out in next step, if there is phase difference, carrying out phase difference processing, it is zero to make its phase difference, then is carried out
In next step；
Step 7, waveform similarity analysis, by voltage waveform data and current differential Wave data, waveform similarity analysis is carried out, works as phase
During like degree in fixed range, it is believed that the load of addition is bad load, will be directed into bad load processing, otherwise enters
To in next step；
Step 8, electric conductivity value processing, in voltage waveform and current differential waveform dissmilarity, carry out electric conductivity value processing；
Step 9, sine wave judgement is truncated, by the processing of electric conductivity value, if occurring the electricity in one section of continuous time point in result
Value convergence is led as 0, and the electric conductivity value in another section of continuous time point level off to it is equal, then it is assumed that the difference waveform of electric current is one
The sine wave that part is truncated, will be directed into bad load processing step, on the contrary then resampling Wave data, under wait
Changed power；
Step 10, bad load processing, after detecting that bad load accesses power network, set according to user and device alarm is identified
Or tripping operation, then resampling Wave data, waits changed power next time.
6. the recognition methods of bad load recognizer according to claim 5, it is characterised in that the step 2 includes electricity
The sampling of pressure and current waveform.
7. the recognition methods of bad load recognizer according to claim 5, it is characterised in that in the step 5, treat
Wave data sampling is completed after load starts, and starting front and rear current waveform data using load is subtracted each other to obtain the difference of electric current
It is worth waveform, so as to complete waveform separation.
8. the recognition methods of bad load recognizer according to claim 5, it is characterised in that, will in the step 8
Voltage waveform data carries out, by a division operation, obtaining electric conductivity value Rn with current differential Wave data.
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| CN108828345A (en) * | 2018-04-17 | 2018-11-16 | 武汉阿帕科技有限公司 | Silicon-controlled load identification method and system in a kind of power circuit |
| CN110967585A (en) * | 2019-12-20 | 2020-04-07 | 武汉盛帆电子股份有限公司 | Malignant load identification method and device |
| CN112611931A (en) * | 2020-12-23 | 2021-04-06 | 南方电网电力科技股份有限公司 | Method, system and storage medium for identifying and processing malignant load based on discrete waveform |
| CN114089015A (en) * | 2021-10-25 | 2022-02-25 | 深圳市移动力量科技有限公司 | Detection method and device for illegal electrical appliance and readable storage medium |
| CN115825634A (en) * | 2023-02-16 | 2023-03-21 | 上海红檀智能科技有限公司 | Malignant load identification method based on load complex impedance characteristics |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN108828345A (en) * | 2018-04-17 | 2018-11-16 | 武汉阿帕科技有限公司 | Silicon-controlled load identification method and system in a kind of power circuit |
| CN108828345B (en) * | 2018-04-17 | 2020-06-30 | 武汉阿帕科技有限公司 | Method and system for identifying silicon controlled load in power line |
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| CN110967585B (en) * | 2019-12-20 | 2022-03-15 | 武汉盛帆电子股份有限公司 | Malignant load identification method and device |
| CN112611931A (en) * | 2020-12-23 | 2021-04-06 | 南方电网电力科技股份有限公司 | Method, system and storage medium for identifying and processing malignant load based on discrete waveform |
| CN114089015A (en) * | 2021-10-25 | 2022-02-25 | 深圳市移动力量科技有限公司 | Detection method and device for illegal electrical appliance and readable storage medium |
| CN115825634A (en) * | 2023-02-16 | 2023-03-21 | 上海红檀智能科技有限公司 | Malignant load identification method based on load complex impedance characteristics |
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