CN211179994U - Non-invasive load detection device based on Internet of things - Google Patents

Non-invasive load detection device based on Internet of things Download PDF

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CN211179994U
CN211179994U CN201921760366.3U CN201921760366U CN211179994U CN 211179994 U CN211179994 U CN 211179994U CN 201921760366 U CN201921760366 U CN 201921760366U CN 211179994 U CN211179994 U CN 211179994U
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module
voltage
current
power
conversion module
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范光顺
王有银
田崇翼
初拥刚
李振华
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MH Robot and Automation Co Ltd
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MH Robot and Automation Co Ltd
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Abstract

The utility model provides a non-invasive load detection device based on thing networking, including current detection module, voltage detection module, current-voltage adjustment module and treater, current detection module and electric wire netting live wire series connection are used for detecting the electric wire netting current, voltage detection module respectively with electric wire netting live wire and electric wire netting zero line parallel connection and be used for detecting the electric wire netting voltage, current detection module and voltage detection module's output is connected to the input of current-voltage adjustment module respectively, the output of current-voltage adjustment module is connected to the input of treater; the voltage detection module and the current detection module are arranged to detect the voltage and the current of the power grid, non-invasive real-time complete detection and transmission of the power load are achieved, the problems that the current household electric meter of a user can only read the total power consumption amount, cannot deeply analyze the internal load components of the user and is limited in load information acquisition are solved, and the functions of remote detection and data transmission can be achieved.

Description

Non-invasive load detection device based on Internet of things
Technical Field
The utility model relates to a load detection technical field, in particular to non-intrusive formula load detection device based on thing networking.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The internet of things is that all articles are connected with the internet through an information transmission module to exchange information, so that intelligent identification, detection and management are realized. In the modern times, in order to realize intelligent home and an intelligent power grid, the problem that the current household electric meter of a user can only read the total power consumption, cannot deeply analyze the internal load components of the user and obtains limited load information must be solved, so that a power consumption information acquisition system and an intelligent power consumption system are perfected, the energy consumption is reduced, and the environmental protection is realized.
The application value and the application prospect of the non-invasive load monitoring are undoubted, many industrial enterprises are developing the research and development of the technology, and some key technologies are still the pain points restricting the development of the industry. The non-intrusive load monitoring device can obtain signals carrying power information including information of different characteristic load components by measuring voltage, current and the like of the total load. By extracting the characteristic information of these electrical quantities, load breakdown can be achieved. That is, by detecting electric power signals such as voltage and current of the total load, it is possible to detect what electric appliance the user is using. The specific principle is as follows: the load mark can reflect unique information reflecting the power utilization state, such as voltage, active waveform, starting current and the like, of the power utilization equipment in operation. The characteristics are determined by the working conditions of the electric equipment, so that the load marks can be classified into three types, namely a steady state, a transient state and an operation mode, wherein the steady state and the transient state depend on the characteristics of components inside the equipment; the operating mode is determined by the operating control strategy of the device. During the operation of the device, the load marks can repeatedly appear, and therefore, each electric appliance can be identified. However, the current load detection device has a complex structure and high cost, and a non-invasive real-time load detection device based on the internet of things does not exist.
SUMMERY OF THE UTILITY MODEL
In order to solve the defects of the prior art, the utility model provides a non-intrusive load detection device based on the thing networking has realized the real-time complete detection and transmission to the power consumption load.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
the utility model provides a non-invasive load detection device based on thing networking, includes current detection module, voltage detection module, current-voltage adjustment module and treater, current detection module and electric wire netting live wire series connection are used for detecting the electric wire netting current, voltage detection module respectively with electric wire netting live wire and electric wire netting zero line parallel connection and be used for detecting electric wire netting voltage, current detection module and voltage detection module's output is connected to current-voltage adjustment module's input respectively, current-voltage adjustment module's output is connected to the input of treater.
As some possible implementation manners, the detection device further comprises a power conversion module, wherein the power conversion module comprises a first power conversion module, a second power conversion module and a third power conversion module, the first power conversion module is a hietech power module and an auxiliary circuit, the second power conversion module is an L M2576S-5 power module and an auxiliary circuit, and the third power conversion module is a L M1117 power conversion module and an auxiliary circuit;
the input end of the first power supply conversion module is connected with a 220V mains supply, the output end of the first power supply conversion module is connected with the input end of the second power supply conversion module, the output end of the second power supply conversion module is connected with the input end of the third power supply conversion module, and the output end of the third power supply conversion module outputs 3.3V digital voltage and is connected with a power utilization module of a digital circuit part in the detection device.
By way of further limitation, the output end of the second power conversion module also outputs 5V digital voltage and is connected with the response electricity utilization module in the detection device.
As a further limitation, the output end of the second power conversion module is converted into an analog voltage of 3.3V through the first inductor on the other branch, and the output end of the third power conversion module is converted into an analog voltage of 5V through the second inductor on the other branch, and is connected to the power utilization module of the analog circuit portion in the detection apparatus.
As a further limitation, the detection device further comprises a power indicator light, and the power indicator light is connected with the output end of the third power conversion module.
As some possible implementation manners, the detection device further includes a communication module, and the communication module is communicatively connected with the processor and is used for implementing the communicative connection between the processor and the external device.
By way of further limitation, the communication module includes an ethernet communication module including a W5500 ethernet communication module and accompanying circuitry, and a wireless communication module including an SX1278 wireless communication module and accompanying circuitry.
As some possible implementation manners, the voltage detection module is a voltage transformer and is respectively connected with the phase line a and the neutral line of the power grid, and the current detection module is a current transformer and is connected in series with the phase line a of the power grid.
As some possible implementation manners, the processor is an STM32 series single chip microcomputer;
further, the singlechip is an STM32F407XG type singlechip.
Compared with the prior art, the beneficial effects of the utility model are that:
1. device detect grid voltage and electric current through setting up voltage detection module and current detection module, realized the real-time complete detection and transmission of non-intrusive to power consumption load.
2. Device solved present user's domestic ammeter can only read the power consumption total amount, can not go deep into analysis user's internal load composition, acquire the limited problem of load information, can realize functions such as remote detection, data transmission and harmonic analysis.
3. The device include three power conversion module, convert 220V's commercial power into 5V and 3.3V's digital voltage respectively and be used for supplying power for the digital circuit part, convert 5V and 3.3V's digital voltage into analog voltage through corresponding inductance and be used for supplying power for the analog circuit part to effectual realization analog electricity and digital electric isolation have reduced mutual interference.
Drawings
Fig. 1 is the utility model provides a non-invasive load detection device's based on thing networking structure schematic diagram that embodiment 1 provided.
Fig. 2 is a circuit diagram of a processor module provided in embodiment 1 of the present invention.
Fig. 3 is an attached circuit diagram of a processor module according to embodiment 1 of the present invention.
Fig. 4 is a circuit diagram of a power conversion module provided in embodiment 1 of the present invention.
Fig. 5 is a circuit diagram of an analog-to-digital conversion module according to embodiment 1 of the present invention.
Fig. 6 is a circuit diagram of a power indicator provided in embodiment 1 of the present invention.
Fig. 7 is a circuit diagram of an ethernet communication module according to embodiment 1 of the present invention.
Fig. 8 is a circuit diagram of a wireless communication module according to embodiment 1 of the present invention.
Fig. 9 is a circuit diagram of a current detection module according to embodiment 1 of the present invention.
Fig. 10 is a circuit diagram of a voltage detection module according to embodiment 1 of the present invention.
The device comprises a 1-current detection module, a 2-voltage detection module, a 3-current voltage adjustment module, a 4-power conversion module, a 5-processor, a 6-Ethernet communication module and a 7-wireless communication module.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example 1:
as shown in fig. 1, the embodiment 1 of the utility model provides a non-invasive load detection device based on thing networking, including current detection module 1, voltage detection module 2, current-voltage adjustment module 3 and treater 5, current detection module 1 and electric wire netting live wire series connection are used for detecting the electric wire netting current, voltage detection module 2 is used for detecting electric wire netting voltage with electric wire netting live wire and electric wire netting zero line parallel connection respectively, current detection module 1 and voltage detection module 2's output is connected to current-voltage adjustment module 3's input respectively, current-voltage adjustment module 3's output is connected to treater 5's input, current-voltage adjustment module is used for converting voltage or current signal into the voltage signal that treater ADC sampling IO mouth between direct current 0 to 3.3V can discern.
The processor receives the information, then carries out sampling at 64 points in one period, carries out current voltage effective value calculation after obtaining a sampling signal, carries out FFT (fast Fourier transform) to obtain single-phase current harmonic information, and carries out voltage frequency detection on the sampling point. After the information is packaged and sorted, important device setting parameters are stored in a memory management module on one hand, and on the other hand, the important device setting parameters are uploaded to an upper computer through an Ethernet module or a wireless module for further data analysis.
As shown in fig. 2, the processor is an STM32 series single chip microcomputer, the single chip microcomputer is an STM32F407XG type single chip microcomputer, and fig. 3 is a schematic connection diagram of an auxiliary circuit of an STM32F407 XG.
As shown in fig. 4, the detection apparatus further includes a power conversion module 4, wherein the power conversion module 4 includes a first power conversion module, a second power conversion module and a third power conversion module, the first power conversion module is a hietech power module and an accessory circuit, the second power conversion module is a L M2576S-5 power module and an accessory circuit, and the third power conversion module is a L M1117 power conversion module and an accessory circuit;
the input end of the first power supply conversion module is connected with a 220V mains supply, the output end of the first power supply conversion module is connected with the input end of the second power supply conversion module, the output end of the second power supply conversion module is connected with the input end of the third power supply conversion module, and the output end of the third power supply conversion module outputs 3.3V digital voltage and is connected with a power utilization module of a digital circuit part in the detection device.
The output end of the second power supply conversion module also outputs 5V digital voltage and is connected with a response electricity utilization module in the detection device.
As shown in fig. 5, the output end of the second power conversion module is converted into an analog voltage of 3.3V through the first inductor on the other branch, and the output end of the third power conversion module is converted into an analog voltage of 5V through the second inductor on the other branch, and is connected to the power utilization module of the analog circuit portion in the detection apparatus.
As shown in fig. 6, the detection apparatus further includes a power indicator, and the power indicator is connected to the output end of the third power conversion module.
The detection device further comprises a communication module, wherein the communication module is in communication connection with the processor and is used for realizing the communication connection between the processor and the external equipment.
The communication module comprises an Ethernet communication module and a wireless communication module, as shown in FIG. 7, the Ethernet communication module comprises a W5500 Ethernet communication module and an auxiliary circuit, an SC L K port, an SCS port, an MOSI port and an MISO port of the W5500 Ethernet communication module are respectively connected to PB13, PB12, PB15 and PB14 ports of an STM32F407XG singlechip, and an INT port and a RESET2 port of the W5500 Ethernet communication module are respectively connected to PD11 and PD12 ports of the STM32F407XG singlechip.
As shown in fig. 8, the wireless communication module includes an SX1278 wireless communication module and its auxiliary circuits, the SC L K port, SCs port, MOSI port, MISO port of the SX1278 wireless communication module are respectively connected to PA5, PA4, PA7, PA6 ports of the STM32F407XG single chip microcomputer, and the RST port, DIO0 port, and DIO1 port of the SX1278 wireless communication module are respectively connected to PE4, PE5, and PE6 ports of the STM32F407XG single chip microcomputer.
As shown in fig. 9 and 10, the voltage detection module is respectively connected to the phase line a and the neutral line of the power grid, and the current detection module is connected in series with the phase line a of the power grid.
In fig. 9, the upper right corner circuit is the supply voltage regulator circuit of the OPA2340 in order to provide a stable voltage for the conditioning circuit. The intermediate circuit is a current conditioning circuit, and a current signal from the current transformer raises an alternating current small signal after passing through the conditioning circuit, so that the alternating current small signal becomes a voltage signal which can be identified by the singlechip and is between 0 and 3.3V. The circuit at the bottom is a 3-to-1.65V circuit, and provides a boost voltage for the conditioning circuit.
In fig. 10, the left circuit is a voltage transformer circuit, which converts a large ac voltage signal into a small ac current signal, and the output of the voltage transformer circuit is connected to the input of the right conditioning circuit to provide a current signal for the voltage conditioning circuit. The right side is voltage conditioning circuit, and the current signal that voltage transformer came out raises the small signal that exchanges behind conditioning circuit, makes it become the voltage signal between 0 to 3.3V that the singlechip can discern. The circuit at the bottom is a 3-to-1.65V circuit, and provides a boost voltage for the conditioning circuit.
The current detection module converts large AC current into small AC currentOutput terminal I of chip machine acceptable small AC current, current detection modulemeasureThe input end of the current voltage adjusting circuit is connected, and the signal input into the processor is adjusted through the current voltage adjusting module.
The voltage detection module converts large alternating voltage into small alternating voltage which can be received by the small single chip microcomputer, and the output end U of the voltage detection modulemeasureThe input end of the current voltage adjusting module is connected, and the signal input into the processor is adjusted through the current voltage adjusting module.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. The utility model provides a non-invasive load detection device based on thing networking, its characterized in that, includes current detection module, voltage detection module, current-voltage adjustment module and treater, current detection module and electric wire netting live wire series connection are used for detecting the electric wire netting current, voltage detection module respectively with electric wire netting live wire and electric wire netting zero line parallel connection and be used for detecting the electric wire netting voltage, current detection module and voltage detection module's output is connected to current-voltage adjustment module's input respectively, current-voltage adjustment module's output is connected to the input of treater.
2. The non-intrusive load detection device based on the internet of things as claimed in claim 1, wherein the detection device further comprises a power conversion module, the power conversion module comprises a first power conversion module, a second power conversion module and a third power conversion module, the first power conversion module is a HIECUBE power module and an auxiliary circuit, the second power conversion module is a L M2576S-5 power module and an auxiliary circuit, and the third power conversion module is a L M1117 power conversion module and an auxiliary circuit;
the input end of the first power supply conversion module is connected with a 220V mains supply, the output end of the first power supply conversion module is connected with the input end of the second power supply conversion module, the output end of the second power supply conversion module is connected with the input end of the third power supply conversion module, and the output end of the third power supply conversion module outputs 3.3V digital voltage and is connected with a power utilization module of a digital circuit part in the detection device.
3. The internet-of-things-based non-intrusive load detection device of claim 2, wherein the output end of the second power conversion module further outputs a 5V digital voltage and is connected with a response power utilization module in the detection device.
4. The non-intrusive load detection device based on the internet of things as claimed in claim 3, wherein the output end of the second power conversion module is converted into an analog voltage of 3.3V through a first inductor on another branch, and the output end of the third power conversion module is converted into an analog voltage of 5V through a second inductor on another branch, and is connected with a power utilization module of an analog circuit part in the detection device.
5. The internet of things-based non-invasive load detection apparatus according to claim 2, wherein the detection apparatus further comprises a power indicator light, and the power indicator light is connected with the output end of the third power conversion module.
6. The internet of things-based non-invasive load detection apparatus according to claim 1, wherein the detection apparatus further comprises a communication module, the communication module is in communication connection with the processor, and is used for realizing communication connection between the processor and an external device.
7. The IOT-based non-intrusive load detection device of claim 6, wherein the communication module comprises an Ethernet communication module and a wireless communication module, the Ethernet communication module comprises a W5500 Ethernet communication module and an attached circuit, and the wireless communication module comprises an SX1278 wireless communication module and an attached circuit.
8. The internet-of-things-based non-invasive load detection device according to claim 1, wherein the voltage detection module is respectively connected with an a-phase line and a neutral line of a power grid, and the current detection module is connected in series with the a-phase line of the power grid.
9. The non-intrusive load detection device based on the internet of things as claimed in claim 1, wherein the processor is an STM32 series single chip microcomputer;
further, the singlechip is an STM32F407XG type singlechip.
CN201921760366.3U 2019-10-18 2019-10-18 Non-invasive load detection device based on Internet of things Active CN211179994U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201921760366.3U CN211179994U (en) 2019-10-18 2019-10-18 Non-invasive load detection device based on Internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201921760366.3U CN211179994U (en) 2019-10-18 2019-10-18 Non-invasive load detection device based on Internet of things

Publications (1)

Publication Number Publication Date
CN211179994U true CN211179994U (en) 2020-08-04

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