WO2025158181A1

WO2025158181A1 - Smart energy operator with a system for identifying and monitoring the power consumption of electrical appliances

Info

Publication number: WO2025158181A1
Application number: PCT/IB2024/050780
Authority: WO
Inventors: Saeed AKBARYAN
Original assignee: Individual
Current assignee: Individual
Priority date: 2024-01-28
Filing date: 2024-01-28
Publication date: 2025-07-31
Anticipated expiration: 2026-07-28

Abstract

This system can measure the power consumption of all appliances of an office or residential unit with only one instantaneous current detection sensor and one instantaneous voltage detection sensor, and a SOC chip to process information by relevant analysis software separately and provide it to the smart energy operator for future use.

Description

Smart Energy Operator with a System for Identifying and Monitoring the Power Consumption of Electrical Appliances

Technical Field

[0001 ] The technical field of this invention relates to the smart management of electricity and in particular the methods of identifying the electricity consumption of appliances using non-intrusive devices and analysis of consumption information, monitoring the consumer, and providing recommendations regarding the optimization of power consumption.

Background Art

[0002] Method and system for identifying power consumption categories based on decision tree algorithm has been filed in Chinese patent office with 11 1222556 application number.

[0003] The invention discloses a method and a system for identifying power consumption types based on a decision tree algorithm. The method comprises the steps of establishing a decision tree according to the training data set, pruning and optimizing the decision tree to obtain a power consumption property recognition model, and automatically constructing the power consumption property recognition model by using a decision tree algorithm and a system on the basis of historical power consumption user sample data including power consumption characteristics and power consumption properties through the optimized decision tree model; finally, after training is completed, displaying complete decision tree information in a model result, a large amount of data can be borne, the pruning parameters of the decision tree are automatically adjusted and optimized through the parameters, the classification prediction coverage degree can be improved, the situation of power consumption properties can be accurately reflected, and misclassification situations such as missing reports and false reports are reduced, the system and method on this invention is different from the claimed invention.

Technical Problem [0004] There are many software and hardware to recognize the electricity consumption of homes and commercial or office buildings that have similar functions to this invention. However, these systems are not used widely due to the huge cost of installing consumption identification hardware for each appliance. To identify the consumption of each appliance, existing systems must connect a power consumption sensor to the relevant appliance and process and send the information to the center through a wireless or wired communication system for the next operations.

[0005] The implementation of the aforementioned method for the buildings under construction is very expensive and time-consuming, and in many cases, it has no economic feasibility for the existing buildings. On the other hand, using the information obtained from these programs, other ancillary services can also be provided to the consumer. For example, by analyzing the pattern of electricity consumption of each appliance, it is possible to understand whether the appliance is working properly or not, and in some cases, it is possible to prevent malfunction of the related appliance.

[0006] At the same time, by assessing the user's consumption pattern, the system can recognize that the user is in a special situation that needs help. For example, a change in the electricity consumption pattern of a user may indicate an incident that can be reported to the relevant supervisors. These capabilities are not available in the existing systems.

[0007] The main purpose of designing and developing this smart system is to modify the pattern of electricity consumption and to create an integrated system including hardware and software to provide information such as calculating energy consumption rate and storing it in memory for analyzing informing and managing consumption, as well as enhancing the ability to display the instant consumption along with the price of electricity and providing the correct consumption patterns, etc. to the subscriber.

Solution to Problem

[0008] To obviate the aforementioned issues, a system has been designed that can measure the power consumption of all appliances of an office or residential unit with only one instantaneous current detection sensor and one instantaneous voltage detection sensor, and a SOC chip to process information by relevant analysis software separately and provide it to the smart energy operator for future use.

[0009] To this end, after installing this system in the electricity meter of the residential or office unit, all electric appliances should be powered off. Then only one of the appliances, for example, the refrigerator, should be connected to the electricity. In this case, the system receives information about the electricity consumption of the refrigerator, and the user saves the name of the refrigerator on the software. Subsequently, the user turns off the refrigerator and turns on another appliance and in this way, all appliances are introduced to the software separately.

[0010] Following the aforementioned process, when several appliances are turned on at the same time, the software detects which appliances are on by analyzing the total power consumption and saves the power consumption information and their names. In this way, only by installing a system at the electricity meter of the building unit, the software can provide consumption information of all electrical appliances by analyzing total consumption.

[001 1 ] In case another appliance is added to electrical appliances in the future, its identification process is performed only once. Now, information on the consumption of electrical appliances is available with very little cost and time compared to other solutions. Considering that all these appliances are registered in one platform and all the information related to unit consumption along with the amount of energy consumption of household appliances is sent to an operator who can provide the best methods of optimizing electricity consumption for each building unit of a city, it can become a smart energy operator.

[0012] On the other side, using the information obtained from these programs, other ancillary services can also be provided to the consumer. For example, by analyzing the pattern of electricity consumption of each appliance, it is possible to understand whether the device is working properly or not, and in some cases, it is possible to prevent the related appliance from malfunctioning. [0013] Also, by assessing the user's consumption pattern, the system can recognize that the user is in a special situation that needs help. For example, if an elderly person lives alone in a residential unit, his/her electricity consumption pattern is received by the system. In this case, if there is a change in this pattern according to the definition we have already made, it will send an alert to the relatives or the emergency so that if the person needs help, immediately receives help, and life risks can be prevented.

[0014] The hardware part of this system consists of the consumption measuring device as well as related server equipment, where the consumption measuring device is connected to the wireless internet of the user's home and sends the user's electricity consumption information to the system's servers. The consumption measuring device consists of two parts (current and voltage sensors) and (processor and Internet connection) SOC chip. In addition, this chip makes the system connect to the Internet independently without the need for a modem.

[0015] This system consists of two general parts. The first part is responsible for monitoring current and voltage information, and the second part is responsible for calculating information received from sensors and processing and sending it via Wi-Fi. The software part includes the platform, business intelligence, artificial intelligence, machine learning, data mining systems, and applications that are connected through the Internet, and its function is as follows:

[0016] After receiving the subscriber's consumption information, the system analyzes it through the business intelligence and artificial intelligence system and sends the most optimal mode of consumption to the subscriber on the software installed on his/her smartphone so that the subscriber can control consumption and expenses of electricity it during peak times.

[0017] The process of analyzing subscriber consumption data continues continuously, which is done by machine learning that identifies the consumption of high- consumption appliances. The best consumption pattern is sent to the user daily and informs him/her of the best hours to use high-consumption electrical appliances. Advantageous Effects of Invention

[0018] 1 . It is possible to install a monitoring system with less cost and time than existing systems

[0019] 2. There is a low need to connect equipment, both wireless and wired, inside the building unit, compared to existing systems

[0020] 3. It is possible to receive reports from all electricity subscribers

[0021 ] 4. It provides the best consumption pattern to the subscriber

[0022] 5. It warns other people in case of encountering an abnormal consumption pattern in a residential or office unit

[0023] 6. It warns of failure of electrical appliances in case of receiving an abnormal electricity consumption pattern

[0024] 7. It is possible to integrate the information of a city and use the results in macro policymaking

Brief Description of Drawings

[0025] Figure 1 : System Components

[0026] Figure 2: Information Exchange Ways

Description of Embodiments

[0027] In this system, the subscriber consumption information is sent to the central server and artificial intelligence system through the Internet and is completed through the Android software that is installed on the customer's smartphone, and the whole system is connected through the Internet.

[0028] According to Figure (1 ), once analyzed by business intelligence, the consumption information received from the server is sent to the subscriber along with suitable consumption patterns, and these patterns are always optimized by analyzing the consumption behavior of the subscriber.

[0029] The invention consists of the following parts:

1 - Miniature fuse box

2- The system sensor that is connected to the home electricity meter 3- Internet connection sensor (via Wi-Fi)

4- Smart power consumption control system server

5- Smartphone and related software

[0030] Figure (2) illustrates ways of information exchange between the electricity meter and the smart system for modifying the electricity consumption pattern of households and finally subscribers.

[0031 ] In such a way that when the subscriber power consumption rate is transferred to the system's servers through the Internet and the consumption measuring device that is connected to the electricity meter of subscribers home, after analyzing the subscriber consumption rate, it sends alarms and necessary suggestions to reduce electricity consumption to subscriber and again, when consumption pattern is modified by the subscriber, his/her performance is analyzed again so that the best consumption pattern is sent to subscriber, and this cycle continues according to the power consumption rate of the subscriber.

[0032] The components illustrated in Figure 2 are as following:

6- Operator

7- Power Utility

8- Consumer

9- Hi Usage

10-Low Usage

11 -Dashboard

12- Data Mining

13- Business Intelligence

14 - Extract Transform and load

15 - Data Science

Examples

[0033] In order to optimal utilization of all the facilities of this system, one device of this system's hardware is installed in every residential or office building unit of a city. Then the collected information is sent to the smart energy operator center and the city officials make adjustments to the system according to the energy consumption policies so that the best pattern they consider for electricity consumption is sent to the subscribers on the city scale.

[0034] According to the program that is given to the system, at the beginning of the installation, the subscriber is asked to not use high energy-consuming electrical appliances such as air conditioners or washing machines for the first few hours, and only have normal consumption, and in this case, the system can determine subscribers normal consumption rate and then the subscriber can use each of the high-consumption appliances alone and at a specific time according to the program. Hence, the system server can identify the amount of load consumed by each appliance, and from then on, the system can recognize each of those appliances when they are turned on.

[0035] For example, now the subscriber is using the washing machine, and after that, if the air conditioner is turned on and peak electricity consumption occurs, the system will warn the subscriber to turn off the washing machine and use it during off-peak hours and in this way, the system can use artificial intelligence to analyze the entire behavior of common electricity consumption and send him/her the best consumption pattern.

[0036] The monitoring part to warn of the risk of changing the user's consumption pattern, must receive the contact information of one of the consumer's relatives so that he/she can communicate quickly when necessary. For example, this system can be used to care for the elderly who live alone. In this way, after installing this system in the home of that elderly person, after a few days, the person learns electricity consumption behavior patterns from this system.

[0037] Therefore, the system recognizes the electricity consumption of this person after waking up, for example, first he/she turns on the electric kettle, then listens to the radio, and in the afternoon he/she turns on the TV, and after that uses the air conditioner, and in the 10 pm, for example, the consumption is close to zero, which means the user is resting. Now, if this pattern is delayed one day, according to the definition on the system, it sends an alarm to his/her relatives to call their father or mother, thus preventing possible dangers. [0038] At the same time, in case one of these devices is connected to the power outlet of electrical appliances, this system can control the electrical appliances of the home, and the subscriber will be able to control the electrical appliances through this system. On the other hand, a change in the consumption pattern of an appliance that indicates its malfunction will be notified to the user of that building unit.

Industrial Applicability

[0039] This system is used in the optimization and management of electricity consumption at the domestic, official, and macro levels, and on the other hand, it is used in monitoring and warning systems.

Claims

Claims [Claim 1] Power consumption monitoring system for identifying and monitoring information on the power consumption of devices through identification of the current and voltage consumption, comprising:

1 . An ACS758 sensor to identify instantaneous current

2. A ZMPT101 B sensor to identify instantaneous voltage

3. SOC chip for information processing

4. Software for Information registration and monitoring

Wherein this system is installed in the electricity meter of each unit and consists of a voltage sensor and a current sensor, where the power consumption information of each appliance of that unit is processed separately by the SOC chip, and then the consumption information of each appliance is registered in the software and when several appliances are consuming electricity, the software by analyzing total electricity consumption information recognizes the type of working appliances and their electricity consumption information.

[Claim 2] The power consumption monitoring system for identifying and monitoring information on the power consumption of appliances according to claim 1 , wherein to link each appliance to the software, the user powers off all other appliances from the circuit and connects the appliance to the power circuit connects and turns on the appliance and informs the software that at this moment the appliance named X is using electricity and the software saves the electricity consumption information for that appliance and in the same way other appliances are registered.

[Claim 3] ) The power consumption monitoring system for identifying and monitoring information on the power consumption of appliances according to claim 1 , wherein by assessing the consumption pattern of each appliance, if an abnormal change in the consumption of each appliance is observed, the system warns the user to check that appliance. [Claim 4] The power consumption monitoring system for identifying and monitoring information on the power consumption of appliances according to claim 1 , wherein by assessing the consumption pattern of each appliance, if the user of that unit changes his/her consumption pattern uncommonly, the system warns the user.

[Claim 5] The power consumption monitoring system for identifying and monitoring information on the power consumption of appliances according to claim 1 , wherein by assessing the consumption information of the appliances, the system can estimate the periodic cost of electricity and give suggestions to the user to control the consumption.

[Claim 6] The power consumption monitoring system for identifying and monitoring information on the power consumption of appliances according to claim 1 , wherein this system is installed between the electric meter and the electric fuse to have the highest efficiency.