CN215679431U - Non-invasive load decomposition data set acquisition system - Google Patents

Non-invasive load decomposition data set acquisition system Download PDF

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CN215679431U
CN215679431U CN202122061748.0U CN202122061748U CN215679431U CN 215679431 U CN215679431 U CN 215679431U CN 202122061748 U CN202122061748 U CN 202122061748U CN 215679431 U CN215679431 U CN 215679431U
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parameter acquisition
power parameter
acquisition module
communication module
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江先亮
刘若愚
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Ningbo University
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/242Home appliances

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Abstract

The utility model discloses a non-invasive load decomposition data set acquisition system, which comprises: the power supply comprises a socket assembly, an alternating current-to-direct current module, a power parameter acquisition module and a communication module; the AC-to-DC module, the power parameter acquisition module and the communication module are respectively arranged on the socket assembly; the alternating current-to-direct current module is used for providing electric energy for the electric power parameter acquisition module and the communication module; the electric power parameter acquisition module is used for acquiring electric power parameters; and the communication module is used for transmitting the power parameters to the background server and sending the power parameters to the background management system through the background server. The utility model realizes the monitoring and the decomposition of the starting time, the working state and the energy consumption condition of each electric device in the user room, thereby providing more reliable and accurate energy consumption management for the user. And making a data set according to the acquired data for use in neural network training.

Description

Non-invasive load decomposition data set acquisition system
Technical Field
The utility model relates to the technical field of electric power data acquisition, in particular to a non-invasive load decomposition data set acquisition system.
Background
Non-invasive load monitoring and decomposition (NILMD) means that a sensor is only arranged at a main incoming line of a user power supply, and the working state and the electric energy consumption condition of various electric appliances inside a user are judged by collecting and analyzing electric information such as current, voltage and the like at the main incoming line. Compared with the traditional intrusive load monitoring system, the NILMD system has the advantages of simplicity in installation and maintenance, high stability and reliability and the like. In 1982, professor georgew.hart at MIT first proposed the concept of non-intrusive load monitoring (NILM), which collects total line power at a frequency of 5 seconds, one sample point, and implements load splitting by pattern recognition of active and reactive. With the development of computer, communication and measurement technologies, more and higher frequency criteria can be applied to load identification processes, such as transient current, transient voltage and transient power, steady-state harmonic characteristics and the like in the load switching process.
With the increasing fire in the NILM (Non-intrusive load monitor) field, more and more researchers wish to build trees in this field. However, the number of the existing public data sets is small, and no Chinese domestic collected data set exists. The reason for this is that the required data set includes not only aggregated data (i.e., total power data of the house), but also data that time-synchronizes the electric appliances with the aggregated data. To acquire aggregate data and single-electrical-appliance data simultaneously, a data acquisition unit needs to be configured for each electrical appliance, and data integration from such multiple sources is also a problem to be overcome.
SUMMERY OF THE UTILITY MODEL
The technical problem to be solved by the utility model is to provide a non-invasive load decomposition data set acquisition system, which monitors and decomposes the starting time, the working state and the energy consumption condition of each electric device in a user room, thereby providing more reliable and accurate energy consumption management for the user. Meanwhile, a data set is made according to the collected data and used for neural network training.
In order to achieve the above object, the present invention provides a non-invasive load decomposition data set acquisition system, which includes: the power supply comprises a socket assembly, an alternating current-to-direct current module, a power parameter acquisition module and a communication module;
the AC-to-DC module, the power parameter acquisition module and the communication module are respectively arranged on the socket assembly;
the alternating current-to-direct current module is used for providing electric energy for the electric power parameter acquisition module and the communication module;
the electric power parameter acquisition module is used for acquiring electric power parameters;
the communication module is used for transmitting the power parameters to a background server and sending the power parameters to a background management system through the background server;
the communication module controls the electric power parameter acquisition module to acquire electric power parameters through serial port communication, the electric power parameter acquisition module samples and packages parameters of single-phase electric voltage and current into parameter data through a sampling rate of 1Hz, and the electric power parameter acquisition module uploads the parameter data to the background server through the communication module.
Specifically, the socket assembly of the acquisition system is provided with an alternating current-to-direct current module, a power parameter acquisition module and a communication module. The electric power parameter acquisition module is used for acquiring instantaneous values and waveforms of single-phase electric voltage and current and calculating and acquiring basic electric power parameters on a circuit, such as voltage effective values, current effective values, active power, power factors and frequency. The background management system of the background server is used for managing the equipment, managing the data and integrating the data. The background management system adopts a front-back separation framework, the front end adopts JQUERY development, the back end is developed based on Django, the database adopts MySQL database, and the collected data is integrated into a data set format, namely a format which can be directly read by an NILMTK toolkit.
Further, the parameter data packed by the electric power parameter acquisition module are coded by hexadecimal system and are converted into decimal system and uploaded to the background server.
Further, the power parameter acquisition module adopts an RN8209D single-phase metering chip.
Furthermore, the single-phase voltage range collected by the power parameter collecting module is 0-250V, and the single-phase current range is 0-20A.
Further, the communication module adopts an ESP-32WiFi module.
Compared with the prior art, the technical scheme of the utility model has the following advantages: the utility model can deeply and finely monitor the power to each main electric device in the load in an economic and convenient way. The starting time, the working state and the energy consumption condition of each electric device in the user room can be monitored and decomposed, so that more reliable and accurate energy consumption management is provided for the user. At the same time, a data set is produced from the acquired data for use in neural network training
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Fig. 1 is a block diagram of a non-intrusive load break data set acquisition system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a non-invasive load break data set acquisition system according to an embodiment of the present invention.
Detailed Description
In this embodiment:
the following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the utility model but are not intended to limit the scope of the utility model.
As shown in fig. 1 and 2, a non-invasive load break dataset acquisition system comprises: the power supply comprises a socket assembly, an alternating current-to-direct current module, a power parameter acquisition module and a communication module;
the AC-DC conversion module, the power parameter acquisition module and the communication module are respectively arranged on the socket assembly;
the alternating current-to-direct current module is used for providing electric energy for the electric power parameter acquisition module and the communication module; the power parameter acquisition module is used for acquiring power parameters; and the communication module is used for transmitting the power parameters to the background server and sending the power parameters to the background management system through the background server.
The communication module controls the power parameter acquisition module to acquire power parameters through serial port communication, the power parameter acquisition module samples and packages parameters of single-phase voltage and current into parameter data through a sampling rate of 1Hz, and the power parameter acquisition module uploads the parameter data to the background server through the communication module.
Specifically, the socket assembly of the acquisition system is provided with an alternating current-to-direct current module, a power parameter acquisition module and a communication module. The electric power parameter acquisition module is used for acquiring instantaneous values and waveforms of single-phase electric voltage and current and calculating and acquiring basic electric power parameters on a circuit, such as voltage effective values, current effective values, active power, power factors and frequency. The background management system of the background server is used for managing the equipment, managing the data and integrating the data. The background management system adopts a front-back separation framework, the front end adopts JQUERY development, the back end is developed based on Django, the database adopts MySQL database, and the collected data is integrated into a data set format, namely a format which can be directly read by an NILMTK toolkit.
The packed parameter data of the power parameter acquisition module is coded by hexadecimal system and is converted into decimal system and uploaded to the background server.
Specifically, in order to transmit data conveniently, the RN8209D module moves all data to the left of the decimal point and encodes the data in hexadecimal, so that a specific formula is required to convert the data into decimal data with two significant decimal numbers. The method for calculating the voltage, the current and the active power comprises the following steps:
current calculationThe formula:
Figure BDA0003236615120000041
wherein lh8 high bits, l, of a 16-ary numberlThe lower 8 bits of 16.
Voltage calculation formula:
Figure BDA0003236615120000042
wherein v ishIs the upper 8 bits, v, of a 16-ary numberlThe lower 8 bits of 16.
Active power calculation formula:
Figure BDA0003236615120000043
wherein p ishUpper 8 bits, p, of a 16-ary numberlIs the lower 8 bits of the 16-ary system.
The power factor calculation formula is as follows:
Figure BDA0003236615120000051
wherein whIs the upper 8 bits of a 16-ary number, wlIs the lower 8 bits of the 16-ary system.
Frequency calculation formula:
Figure BDA0003236615120000052
wherein f ish8 high bits, f, of a 16-ary numberlIs the lower 8 bits of the 16-ary system.
Wherein, the power parameter acquisition module adopts an RN8209D single-phase metering chip.
The single-phase voltage range collected by the power parameter collecting module is 0-250V, and the single-phase current range is 0-20A.
Wherein, the communication module adopts an ESP-32WiFi module.
Specifically, the acquisition system has the following working procedures: the power parameter acquisition module samples single-phase voltage and current at a sampling rate of 1 Hz; the communication module (ESP32) controls the power parameter acquisition module (RN8209D) to acquire power parameters through serial port communication, data acquired by the power parameter acquisition module (RN8209D) are transmitted back to the communication module (ESP32) through a serial port, and finally the communication module (ESP32) combines the data into an HTTP protocol data packet and transmits the HTTP protocol data packet to the background server.
Specifically, the workflow of the management system of the background server is as follows: firstly, a user creates an account and logs in a management system of a background server, and at the moment, the management system of the background server creates a piece of user data in a user table and allocates corresponding authority. At this time, the user needs to add the socket component corresponding to the device and set the type of the electrical appliance acquired by the electrical parameter acquisition module on the socket component. After the device data is successfully added, the management system of the background server adds a piece of device data in the device management table and creates a device data table for the device.
When data collection is started, uploaded data is stored in the corresponding device data table. The power parameters acquired by the power parameter acquisition modules on the socket assemblies are added so as to acquire a plurality of electrical appliances and aggregated data at the same time. The user may use the export data set function to export all data of the user by the name of the user equipment and encapsulate it into an H5 data set that can be read directly by the niltk toolkit.
The utility model can deeply and finely monitor the power to each main electric device in the load in an economic and convenient way. The starting time, the working state and the energy consumption condition of each electric device in the user room can be monitored and decomposed, so that more reliable and accurate energy consumption management is provided for the user. And making a data set according to the acquired data for use in neural network training.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (5)

1. A non-intrusive load break data set acquisition system, comprising: the power supply comprises a socket assembly, an alternating current-to-direct current module, a power parameter acquisition module and a communication module;
the AC-to-DC module, the power parameter acquisition module and the communication module are respectively arranged on the socket assembly;
the alternating current-to-direct current module is used for providing electric energy for the electric power parameter acquisition module and the communication module;
the electric power parameter acquisition module is used for acquiring electric power parameters;
the communication module is used for transmitting the power parameters to a background server and sending the power parameters to a background management system through the background server;
the communication module controls the electric power parameter acquisition module to acquire electric power parameters through serial port communication, the electric power parameter acquisition module samples and packages parameters of single-phase electric voltage and current into parameter data through a sampling rate of 1Hz, and the electric power parameter acquisition module uploads the parameter data to the background server through the communication module.
2. The non-invasive load splitting data set acquisition system according to claim 1, wherein the power parameter acquisition module package parameter data is encoded in hexadecimal and converted to decimal for uploading to a background server.
3. The non-invasive load break data set acquisition system according to claim 1, wherein the power parameter acquisition module employs a RN8209D single-phase metering chip.
4. The non-invasive load decomposition data set collection system according to claim 3, wherein the single-phase electric voltage collected by the electric power parameter collection module is in a range of 0-250V, and the single-phase electric current is in a range of 0-20A.
5. The non-invasive load break dataset acquisition system according to claim 1, wherein said communication module employs an ESP-32WiFi module.
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