Device with load identification function

Abstract

The utility model discloses a device with load identification, comprising a signal acquisition module which acquires current waveform and voltage waveform in real time through a current transformer and a voltage transformer, and calculates and obtains power, effective value and harmonic component data of voltage and current according to the voltage waveform and the current waveform; the processor module is connected with the signal acquisition module and is used for generating feature information according to the power, the effective value and the harmonic component data of the voltage and the current, traversing a feature library through weighted calculation and identifying a loaded load; the WIFI module is connected with the processor module and is used for being in communication connection with a cloud server so as to store power utilization information accessed and inquired by a user through a special APP and an electric energy list device of each piece of power utilization equipment on the cloud server; the method has the advantages that the user can be helped to know own power consumption behaviors, so that energy conservation is guided, the user is promoted to develop a good power consumption habit, the power consumption cost is reduced, and the utilization rate of electric energy is improved.

Description

Technical Field

[0001] This utility model relates to the field of intelligent measurement technology, specifically to a device with load recognition. Background Technology

[0002] Smart grids represent a crucial future development direction for my country's power system. As the terminal of the power system, the load side requires precise and efficient management, which is a key aspect of realizing a smart grid. Refined load management, analyzing load operating patterns and characteristics, exploring load demand response potential, and rationally scheduling load operations can help mitigate the adverse impacts of large-scale integration of renewable energy generation on the safe operation of the power grid.

[0003] Real-time and accurate monitoring of load operation status is the first step in achieving refined load management. It can provide data support for subsequent load characteristic analysis, provide reference for load control strategies, help electricity users understand their own electricity consumption behavior, provide them with reasonable and effective electricity consumption suggestions, and promote users to develop good electricity consumption habits. Therefore, there is an urgent need to develop a load identification device that can refine the total power of electricity to each major household appliance within the load. Utility Model Content

[0004] One technical problem this application aims to solve is to overcome the deficiencies of the above-mentioned related technologies and provide a device with load identification for load identification. This device can break down the total power consumption of electrical energy into the individual major household appliances within the load, providing users with an electricity consumption list similar to a phone bill. It can provide guidance on energy saving and also provide an alarm function for abnormal power consumption loads. This can not only reduce the user's electricity costs but also improve the utilization rate of electrical energy.

[0005] The technical solution adopted by this utility model to solve the technical problem is: a device with load identification, comprising:

[0006] A signal acquisition module acquires current and voltage waveforms in real time through current transformers and voltage transformers, and calculates and obtains the power, RMS value and harmonic component data of voltage and current based on the voltage and current waveforms.

[0007] A processor module, connected to the signal acquisition module, is used to generate feature information based on the power, RMS value and harmonic component data of voltage and current, and to identify the loaded load by traversing the feature library through weighted calculation;

[0008] A WIFI module, connected to the processor module, is used to communicate with the cloud server to store electricity consumption information and the power consumption list of each electrical device, which can be accessed and queried by users through a dedicated APP.

[0009] Compared with related technologies, this utility model has the following advantages: The signal acquisition module of this device acquires current waveforms and voltage waveforms and calculates the power, RMS value and harmonic component data of the obtained voltage and current. The processor module generates feature information based on the power, RMS value and harmonic component data of the voltage and current. By weighted calculation and traversing the feature library, the loaded load is identified. The power consumption information and the power consumption list of each electrical device are stored on the cloud server through the WIFI module, so that users can access and query through a dedicated APP to help users understand their own power consumption behavior.

[0010] Preferably, the processor module uses a 32-bit embedded processor, which uses an STM32F103 chip.

[0011] Preferably, the signal acquisition module includes: a current signal acquisition circuit for connecting to a current transformer to acquire current waveforms;

[0012] A voltage signal acquisition circuit is used to connect to a voltage transformer to acquire voltage waveforms;

[0013] A metering chip circuit is electrically connected to the current signal acquisition circuit, the voltage signal input circuit, and the processor module, respectively. It is used to calculate and obtain the power, RMS value, and harmonic component data of voltage and current based on the voltage waveform input by the voltage signal acquisition circuit and the current waveform input by the current signal acquisition circuit, and then transmit them to the processor module.

[0014] Preferably, the metering chip in the metering chip circuit is a single-phase metering chip RN8209G.

[0015] Preferably, the WIFI module uses ESP8266, which is connected to a 32-bit embedded processor via a UART serial port, and the ESP8266 is equipped with a pull-up enable resistor. Attached Figure Description

[0016] Figure 1 This is a structural block diagram of the present invention.

[0017] Figure 2 This is a circuit diagram of the current signal acquisition circuit of this utility model.

[0018] Figure 3 This is a circuit diagram of the voltage signal acquisition circuit of this utility model.

[0019] Figure 4 This is the circuit diagram of the metering chip circuit of this utility model.

[0020] Figure 5 This is the circuit diagram of the WIFI module of this utility model.

[0021] Figure 6 This is a flowchart of the processor module of this utility model identifying the load. Detailed Implementation

[0022] First, those skilled in the art should understand that these embodiments are merely used to explain the technical principles of the embodiments of this application and are not intended to limit the scope of protection of the embodiments of this application. Those skilled in the art can make adjustments as needed to adapt to specific application scenarios.

[0023] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0024] This preferred embodiment is, for example Figure 1 The diagram shows a device with load identification, comprising:

[0025] A signal acquisition module acquires current and voltage waveforms in real time through current transformers and voltage transformers, and calculates and obtains the power, RMS value and harmonic component data of voltage and current based on the voltage and current waveforms.

[0026] A processor module, connected to the signal acquisition module, generates feature information based on the power, RMS value and harmonic component data of voltage and current, and identifies the applied load by traversing the feature library through weighted calculation; the processor module uses a 32-bit embedded processor, specifically an STM32F103 chip.

[0027] A power supply module is connected to the processor module. It uses AC220V to 5V output, and then uses the AMS1117-3.3 chip to convert 5V to 3.3V to power the processor module.

[0028] A WIFI module is connected to the processor module. The WIFI module is used to communicate with the cloud server to store power consumption information and power consumption list of each electrical device on the cloud server, so that users can access and query through a dedicated APP. Preferably, the WIFI module adopts ESP8266. The ESP8266 is connected to the pull-up module enable resistor R13. The ESP8266 is connected to the 32-bit embedded processor through the UART serial port. The 32-bit embedded processor uses AT commands to control the ESP8266 to upload data to the cloud server for storage.

[0029] It includes a human-machine interface unit connected to the processor module, which includes buttons and LEDs. The buttons are used by the user to control whether the device is connected to a miniature circuit breaker, and the LEDs are used to display the operating status of the device.

[0030] Preferably, the signal acquisition module specifically includes:

[0031] A current signal acquisition circuit is used to connect to a current transformer (2000:1) to acquire the current waveform; such as Figure 2 As shown, the input side of the current signal acquisition circuit is connected to the CTC_1 and CTC_2 pins of the current transformer (2000:1). Resistor R3, which is connected to CTC_1 at one end, and resistor R5, which is connected to CTC_2 at one end, form the current sampling resistor. The other end of resistor R3 is connected to the other end of resistor R5 and then grounded. A set of low-pass filter circuits composed of resistor R2, capacitor C2, resistor R6, and capacitor C3 is connected between the input side and the output side of the current signal acquisition circuit. The output side pins IA_IN_P and IA_IN_N of the current signal acquisition circuit are connected to the current input pin of the metering chip circuit.

[0032] A voltage signal acquisition circuit is used to connect to a voltage transformer ZMPT101B to acquire voltage waveforms. The voltage transformer ZMPT101B is connected to the live wire L and the neutral wire N through resistors R7 and R11, respectively. Figure 3 As shown, the input side of the voltage signal acquisition circuit is connected to the VA and VB pins of the voltage transformer ZMPT101B. Resistor R9, which is connected to VA at one end, and resistor R10, which is connected to VB at the other end, form the voltage sampling resistor. Another low-pass filter circuit, consisting of resistor R8, capacitor C6, resistor R12, and capacitor C7, is connected between the input and output sides of the voltage signal acquisition circuit. The output pins UA_IN_P and UA_IN_N of the voltage signal acquisition circuit are connected to the voltage input pin of the metering chip circuit.

[0033] A metering chip circuit is electrically connected to the current signal acquisition circuit, voltage signal input circuit, and processor module, respectively. It is used to calculate and obtain data such as the power, RMS value, and harmonic components of the voltage and current based on the voltage waveform input from the voltage signal acquisition circuit and the current waveform input from the current signal acquisition circuit, and then transmit this data to the processor module. Figure 4 As shown, resistor R1 and capacitor C1 form the reset circuit, SCSN, SCLK, SDI and SDO are the SPI communication pins between the metering chip RN8209G and the processor, and OSCI and OSCO are the crystal oscillator pins.

[0034] This device with load identification is used for load identification. The characteristic information of load identification consists of:

[0035] Each type of electrical equipment corresponds to a set of characteristic information Ei={Ui,Ii,Pi,Qi,I3i,I5i,I7i} during operation;

[0036] Wherein, Ui is the effective value of the voltage of the electrical equipment; Ii is the effective value of the current of the electrical equipment; Pi is the active power of the electrical equipment; Qi is the reactive power of the electrical equipment; I3i is the amplitude of the third harmonic of the current of the electrical equipment; I5i is the amplitude of the fifth harmonic of the current of the electrical equipment; and I7i is the amplitude of the seventh harmonic of the current of the electrical equipment.

[0037] The process by which this load identification device identifies the load is as follows: Figure 6 As shown, the specific steps are as follows:

[0038] 1. Determine the new electrical load to be connected based on the increase in power;

[0039] 2. Calculate the characteristic information Ei of the electrical load;

[0040] 3. The weighting coefficients M = {m1, m2, m3, m4, m5, m6, m7} are used to calculate the weighted Ti = Ei*M = {Ui*m1, Ii*m2, Pi*m3, Qi*m4, I3i*m5, I5i*m6, I7i*m7}. The calculated result Ti is then used to iterate through the feature library.

[0041] 4. Once a new type of electricity load is found, it is uploaded to the cloud server via the WIFI module. At this time, users can use a dedicated APP to query electricity information and the power consumption list of each electrical device.

[0042] 5. If a new electrical load appears, the present invention will first mark it and request user confirmation, and finally update it to the feature library.

[0043] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An apparatus with load recognition, characterized in that The utility model relates to a kind of power utilization information acquisition device, including: A signal acquisition module, current waveform and voltage waveform are acquired in real time by current transformer and voltage transformer, and the power, effective value and harmonic component data of voltage and current are calculated and obtained according to voltage waveform and current waveform; A processor module is connected with signal acquisition module, for generating feature information according to the power, effective value and harmonic component data of voltage and current, and traversing feature library by weighted calculation, and identifying the load; A WIFI module is connected with processor module, for communicating with cloud server, to store the power utilization information and the electric energy list of each power utilization equipment for user to access and query through special APP in cloud server.

2. The device with load recognition according to claim 1, characterized in that, The processor module uses 32-bit embedded processor, and the 32-bit embedded processor uses STM32F103 chip.

3. A device with load recognition according to claim 1 or 2, characterized in that, The signal acquisition module includes: a current signal acquisition circuit for connecting with current transformer to acquire current waveform; A voltage signal acquisition circuit is used for connecting with voltage transformer to acquire voltage waveform; And a metering chip circuit is electrically connected with the current signal acquisition circuit, voltage signal input circuit and processor module respectively, for calculating and obtaining the power, effective value and harmonic component data of voltage and current according to the voltage waveform input by voltage signal acquisition circuit and the current waveform input by current signal acquisition circuit, and transmitting to processor module.

4. A device with load recognition according to claim 3, characterized in that The metering chip of the metering chip circuit uses single-phase metering chip RN8209G.

5. The device with load recognition according to claim 1, characterized in that, The WIFI module uses ESP8266, and the ESP8266 is connected with 32-bit embedded processor through UART serial port, and the ESP8266 is connected with pull-up module enabling resistance.

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