System and method for identifying electric equipment online in real time

Abstract

The invention discloses a system for identifying electric equipment on line. The system comprises an electric equipment data acquisition module, an electric equipment behavior database module, a data analysis module, a wireless transmission module and a data display module, wherein the electric equipment data acquisition module is used for acquiring waveform characteristic data of each electric equipment in a preset area in real time; the electric equipment behavior database module stores waveform characteristic data corresponding to electric equipment in a preset area; the data analysis module is used for analyzing the collected waveform characteristic data, comparing the waveform characteristic data with waveform characteristic data stored in the electric equipment behavior database so as to find out corresponding electric equipment, and sending the electric equipment to the wireless transmission module. According to the invention, the data of the electric equipment is collected and analyzed, and the type of the electric equipment is identified, so that the intelligent level of a smart home is improved, the electric safety level is improved, and electric safety accidents such as electric shock and electrical fire are prevented.

Description

Technical Field

[0001] The present application belongs to the field of electrical equipment identification, and specifically relates to a system and method for real-time online identification of electrical equipment. Background Art

[0002] Energy-saving lamps, dimmers and switching power supplies are widely used in household electrical appliances. The original intention is to save energy, but these terminal devices, as harmonic sources, are very harmful to the power grid. According to measurements by relevant departments, hotels, shopping malls, Internet cafes, computer rooms, residential areas, etc., which use a large number of electrical equipment, have very large neutral line currents before filtering and other measures are taken. Some even exceed the phase current, and wire overheating becomes a major hidden danger of fire accidents.

[0003] The existing authorized patent number is CN201410697960.8, which discloses an online tracking method for the state of an electric device. The method comprises a voltage sensing unit, a current sensing unit, a data acquisition unit, a data storage unit, a statistical analysis unit, an online tracking kernel (state identification and tracking unit, CPU), a UART debugging port, and a human-machine interface. The online tracking device performs an online tracking signal processing method for the state of the electric device; the processed and decomposed signal is tracked by iterative frequency scanning. By integrating the sensing and measuring device with the communication device and adopting the state tracking signal processing method, the online load operation state tracking and identification can be performed without large-scale disconnection, power outage, and production suspension. The WIA wireless communication unit is used to implement on-site collection, which has the advantages of low cost and convenient deployment.

[0004] The existing patent application number is: CN202410143483.4, which discloses a method for identifying electrical appliances. The method includes the following steps: establishing a database, which stores corresponding waveform characteristic data according to the type of electrical appliance; obtaining cached data of multiple cycles of voltage, current, and power of the electrical circuit to be identified; based on the cached data of voltage, current, and power, obtaining characteristic data of the increment or decrement of multiple cycles generated by the electrical equipment added or decreased in the electrical circuit; based on the characteristic data of the increment or decrement, obtaining waveform characteristic data of the electrical equipment added or decreased in the electrical circuit; comparing the waveform characteristic data of the electrical equipment increased or decreased with the waveform characteristic data stored in the electrical type database. The present invention can realize the accurate identification of online electrical equipment in an environment where multiple devices are used at the same time, based on obtaining the characteristic parameters of the increment or decrement of the electrical circuit, and effectively ensure the safety of electricity use.

[0005] To address this issue, we have developed a system and method for real-time online identification of electrical equipment. Summary of the invention

[0006] The purpose of the present invention is to provide a system and method for real-time online identification of electrical equipment to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A system for online identification of electric equipment includes an electric equipment data collection module, an electric equipment behavior database module, a data analysis module, a wireless transmission module and a data display module; wherein:

[0009] The power equipment data acquisition module is used to collect waveform characteristic data of each power equipment in a preset area in real time;

[0010] The electrical equipment behavior database module stores waveform characteristic data corresponding to electrical equipment in a preset area;

[0011] The data analysis module is used to analyze the collected waveform characteristic data and compare it with the waveform characteristic data stored in the power-consuming device behavior database to find the corresponding power-consuming device and send the power-consuming device to the wireless transmission module;

[0012] The wireless transmission module is used to send the analyzed data to the data display module;

[0013] The data display module is used to display the operating data portrait of the electrical equipment, and the user marks the name and location of the electrical equipment.

[0014] The above technical solution is implemented so that after the electrical device is turned on, the system can display the image of the turned-on device on the mobile phone or tablet APP or prompt the user to set the name and image of the electrical device.

[0015] As a preferred solution of the present application, the data display module includes a tablet and a mobile phone.

[0016] Implement the above technical solution to facilitate operation and viewing.

[0017] As a preferred solution of the present application, the electrical equipment data acquisition module can be connected to the electrical equipment through a branch circuit switch.

[0018] The above technical solution is implemented so as to individually control the switch of each electrical device through the branch circuit switch.

[0019] A method for online identification of electrical equipment, the method comprising the following steps:

[0020] Step 1: Collect waveform characteristic data of each electrical device in a preset area;

[0021] Step 2: Perform data analysis on the collected waveform feature data and compare it with the waveform feature data pre-stored in the database to determine the electrical equipment corresponding to the behavior characteristics of the waveform feature data;

[0022] Step 3: Send the determined electrical equipment information to the mobile terminal via a wireless network, and the mobile terminal will display or mark the name of the equipment.

[0023] As a preferred solution of the present application, the waveform characteristic data in step 1 includes cached data of multiple cycles of voltage, current, and power in the circuit of the electrical equipment;

[0024] Based on the cached data of voltage, current and power, characteristic data of increment or decrement of multiple cycles generated by the added or reduced electrical equipment in the electrical circuit are obtained;

[0025] Based on the characteristic data of the increase or decrease, obtaining the recorded waveform characteristic data of the increased or decreased electrical equipment;

[0026] The recorded waveform feature data is compared with the pre-stored waveform feature data, and the waveform similarity of the electrical device is calculated to identify the electrical device to obtain the identification result of the electrical device.

[0027] As a preferred solution of the present application, the waveform characteristic data in the database includes data parameters of a single electrical device and combined data parameters of multiple electrical devices.

[0028] To implement the above technical solution, the superimposed current parameter when multiple electrical appliances are used in combination is: the sum of the currents of the multiple electrical appliances;

[0029] The superimposed voltage parameter when multiple electrical devices are used in combination is: the sum of the reference voltage and the voltage drop when multiple devices are used individually;

[0030] The superimposed resistance parameter when multiple electrical devices are used in combination is: the sum of the resistances of the multiple devices when used individually;

[0031] The superimposed harmonic parameter when multiple electrical devices are used in combination is: the sum of the harmonics when the multiple devices are used individually;

[0032] The superimposed power parameter when multiple electrical devices are used in combination is: the sum of the powers of the multiple devices when used individually;

[0033] Among them, the superimposed power factor parameters when multiple electrical equipment are used in combination are:

[0034] Among them, P1, P2...Pn are the active power of each electrical device, and cosΦ1, cosΦ2,..., cosΦn are the power factors of each electrical device.

[0035] Compared with the prior art, the beneficial effects of this application are:

[0036] The present invention mainly collects and analyzes the data of electrical equipment in a preset area in real time to identify the type of electrical equipment, so as to improve the intelligence level of smart homes, improve electricity safety, and prevent the occurrence of electricity safety accidents such as electric shock and electrical fire.

[0037] Compared with the prior art, the present invention incorporates harmonic waveform characteristic data into the identification of the equipment, which is not only more accurate, but also convenient for the management of energy saving and consumption reduction, and provides a basis for users to manage power quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 , which is a schematic diagram of this embodiment. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Embodiment:

[0041] A system for online identification of electrical equipment, referring to Figure 1 , including an electric equipment data collection module, an electric equipment behavior database module, a data analysis module, a wireless transmission module and a data display module; wherein:

[0042] The power equipment data acquisition module is used to collect waveform characteristic data of each power equipment in a preset area in real time;

[0043] The electrical equipment behavior database module stores waveform characteristic data corresponding to electrical equipment in a preset area;

[0044] The data analysis module is used to analyze the collected waveform characteristic data and compare it with the waveform characteristic data stored in the power-consuming device behavior database to find the corresponding power-consuming device and send the power-consuming device to the wireless transmission module;

[0045] The wireless transmission module is used to send the analyzed data to the data display module;

[0046] The data display module is used to display the operating data portrait of the electrical equipment, and the user marks the name and location of the electrical equipment.

[0047] The above technical solution is implemented so that after the electrical device is turned on, the system can display the image of the turned-on device on the mobile phone or tablet APP or prompt the user to set the name and image of the electrical device.

[0048] As a preferred solution of the present application, the data display module includes a tablet and a mobile phone.

[0049] Implement the above technical solution to facilitate operation and viewing.

[0050] As a preferred solution of the present application, the electrical equipment data acquisition module can be connected to the electrical equipment through a branch circuit switch.

[0051] The above technical solution is implemented so as to individually control the switch of each electrical device through the branch circuit switch.

[0052] A method for online identification of electrical equipment, the method comprising the following steps:

[0053] Step 1: Collect waveform characteristic data of each electrical device in a preset area;

[0054] Step 2: Perform data analysis on the collected waveform feature data and compare it with the waveform feature data pre-stored in the database to determine the electrical equipment corresponding to the behavior characteristics of the waveform feature data;

[0055] Step 3: Send the determined electrical equipment information to the mobile terminal via a wireless network, and the mobile terminal will display or mark the name of the equipment.

[0056] As a preferred solution of the present application, the waveform characteristic data in step 1 includes cached data of multiple cycles of voltage, current, and power in the circuit of the electrical equipment;

[0057] Based on the cached data of voltage, current and power, characteristic data of increment or decrement of multiple cycles generated by the added or reduced electrical equipment in the electrical circuit are obtained;

[0058] Based on the characteristic data of the increase or decrease, obtaining the recorded waveform characteristic data of the increased or decreased electrical equipment;

[0059] The recorded waveform feature data is compared with the pre-stored waveform feature data, and the waveform similarity of the electrical device is calculated to identify the electrical device to obtain the identification result of the electrical device.

[0060] As a preferred solution of the present application, the waveform characteristic data in the database includes data parameters of a single electrical device and combined data parameters of multiple electrical devices.

[0061] To implement the above technical solution, the superimposed current parameter when multiple electrical appliances are used in combination is: the sum of the currents of the multiple electrical appliances;

[0062] The superimposed voltage parameter when multiple electrical devices are used in combination is: the sum of the reference voltage and the voltage drop when multiple devices are used individually;

[0063] The superimposed resistance parameter when multiple electrical devices are used in combination is: the sum of the resistances of the multiple devices when used individually;

[0064] The superimposed harmonic parameter when multiple electrical devices are used in combination is: the sum of the harmonics when the multiple devices are used individually;

[0065] The superimposed power parameter when multiple electrical devices are used in combination is: the sum of the powers of the multiple devices when used individually;

[0066] Among them, the superimposed power factor parameters when multiple electrical equipment are used in combination are:

[0067] Among them, P1, P2...Pn are the active power of each electrical device, and cosΦ1, cosΦ2,..., cosΦn are the power factors of each electrical device.

[0068] In order to facilitate prompting the user to mark, in this embodiment, the prompt information includes "unknown device" or "suspected device name". Among them, the suspected device name can be suspected air conditioning equipment or suspected TV, etc., so that the user can quickly confirm.

[0069] In order to facilitate the individual control of the switches of each electrical device, in this embodiment, the electrical device data acquisition module can be connected to the electrical device through a branch circuit switch.

[0070] Embodiment 1:

[0071] When the user turns on the air conditioner, the current, resistance, harmonics, power and other parameters of the air conditioner are collected for analysis and compared with the preset data parameters in the database to determine that the electrical equipment is an air conditioner. The data display module is used to start the data portrait of the air conditioner operation.

[0072] Embodiment 2:

[0073] When the user turns on the washing machine, the data is analyzed by collecting parameters such as current, resistance, harmonics, and power during operation, and compared with the preset data parameters in the database. If the electrical device cannot be identified, the user is prompted with an "unknown device" and is marked by the user to form a data profile of the washing machine's operation and the core features of the electrical device, which are stored for direct identification the next time the washing machine is started.

[0074] Embodiment three:

[0075] When the user turns on the fan, the current, resistance, harmonics, power and other parameters of the fan are collected for analysis and compared with the preset data parameters in the database. When data parameters similar to those of the electrical equipment are obtained, the user is prompted that it is "suspected to be a fan" and the user confirms or marks it to form a data profile of the fan operation and the core characteristics of the electrical equipment, which are stored for direct identification the next time the fan is started.

[0076] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for real-time online identification of electrical equipment, characterized in that: It includes an electric equipment data collection module, an electric equipment behavior database module, a data analysis module, a wireless transmission module and a data display module; among which: The power equipment data acquisition module is used to collect waveform characteristic data of each power equipment in a preset area in real time; The electrical equipment behavior database module stores waveform characteristic data corresponding to electrical equipment in a preset area; The data analysis module is used to analyze the collected waveform characteristic data and compare it with the waveform characteristic data stored in the power-consuming device behavior database to find the corresponding power-consuming device and send the power-consuming device to the wireless transmission module; The wireless transmission module is used to send the analyzed data to the data display module; The data display module is used to display the operating data portrait of the electrical equipment, and the user marks the name and location of the electrical equipment.

2. A system for real-time online identification of electrical equipment according to claim 1, characterized in that: The data display module includes a tablet or a mobile phone.

3. A method for real-time online identification of electrical equipment, characterized in that: The method comprises the following steps: Step 1: Collect waveform characteristic data of each electrical device in a preset area; Step 2: Perform data analysis on the collected waveform feature data and compare it with the waveform feature data pre-stored in the database to determine the electrical equipment corresponding to the behavior characteristics of the waveform feature data; Step 3: Send the determined electrical equipment information to the mobile terminal via a wireless network, and the mobile terminal will display or mark the name of the equipment.

4. A method for real-time online identification of electrical equipment according to claim 3, characterized in that: The waveform characteristic data in step 1 includes cached data of multiple cycles of voltage, current, and power in the circuit of the electrical equipment; Based on the cached data of voltage, current and power, characteristic data of increment or decrement of multiple cycles generated by the added or reduced electrical equipment in the electrical circuit are obtained; Based on the characteristic data of the increase or decrease, obtaining the recorded waveform characteristic data of the increased or decreased electrical equipment; The recorded waveform feature data is compared with the pre-stored waveform feature data, and the waveform similarity of the electric device is calculated to identify the electric device to obtain an identification result of the electric device.

Images