CN113917880A - Intelligent electric quantity control system and method - Google Patents

Intelligent electric quantity control system and method Download PDF

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Publication number
CN113917880A
CN113917880A CN202111363025.4A CN202111363025A CN113917880A CN 113917880 A CN113917880 A CN 113917880A CN 202111363025 A CN202111363025 A CN 202111363025A CN 113917880 A CN113917880 A CN 113917880A
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CN
China
Prior art keywords
module
intelligent
control
battery
control module
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Pending
Application number
CN202111363025.4A
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Chinese (zh)
Inventor
李楠
康利斌
张平
方东林
唐堃
胡勇胜
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Liyang Zhongke Haina Technology Co ltd
Beijing Zhongke Haina Technology Co ltd
Original Assignee
Liyang Zhongke Haina Technology Co ltd
Beijing Zhongke Haina Technology Co ltd
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Application filed by Liyang Zhongke Haina Technology Co ltd, Beijing Zhongke Haina Technology Co ltd filed Critical Liyang Zhongke Haina Technology Co ltd
Priority to CN202111363025.4A priority Critical patent/CN113917880A/en
Publication of CN113917880A publication Critical patent/CN113917880A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/25Pc structure of the system
    • G05B2219/25257Microcontroller

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses an intelligent electric quantity control system and a method, wherein the system comprises: the intelligent home system comprises an AI control module, a battery management module, a monitoring module, a wireless communication module, a remote information server and an intelligent home module, wherein the battery module is connected with the AI control module through the battery management module, the monitoring module is connected with the AI control module, and the wireless communication module is connected with the AI control module; the remote information server is connected with the AI control module through the wireless communication module; the intelligent home module is connected with the AI control module; the intelligent modular energy storage system has the ability of learning user habits by AI, and is linked with a power grid, an intelligent home and a user terminal at the same time.

Description

Intelligent electric quantity control system and method
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to an intelligent electric quantity control system and method.
Background
At present, with the improvement of living standards and the high-speed development of science and technology of people, more and more intelligent devices (such as audio and video devices, lighting systems, curtain control, air conditioning control, security systems, digital cinema systems, network appliances, three-meter reading and the like) are connected together through the internet of things technology, an intelligent ecological system is formed through a cloud computing platform, an all-around information interaction function is provided for users, and remote control or automatic auxiliary control through AI learning is achieved.
However, with the development of society, more electric equipment is connected to a power grid, and a power failure problem exists in a power utilization peak period or a region with an underdeveloped power grid, while intelligent equipment belongs to the electric equipment, and can not work normally without power, so that the life quality of people is seriously influenced.
Therefore, how to achieve intelligent management and adjustment of electric energy is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the invention provides an intelligent electric quantity control system and method, which have the ability of learning user habits by an AI and realize an intelligent modular energy storage system linked with a power grid, an intelligent home and a user terminal at the same time.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent power control system comprising:
the AI control module is used for realizing the integral control function;
a battery module for providing overall electrical energy;
the battery management module is connected with the AI control module through the battery management module and is used for realizing the detection and conversion of electric energy;
the monitoring module is connected with the AI control module and is used for acquiring indoor information in real time;
the wireless communication module is connected with the AI control module;
the remote information server is connected with the AI control module through the wireless communication module;
and the intelligent home module is connected with the AI control module.
Preferably, the method further comprises the following steps: and the intelligent controller is connected with the AI control module.
Preferably, the method further comprises the following steps: and the user terminal is connected with the AI control module through the intelligent controller.
Preferably, the method further comprises the following steps: and the charging module is connected with the battery module.
Preferably, the battery management module includes:
the electric energy conversion unit is connected with the AI control module and the battery module;
and the electric quantity detection unit is connected with the battery module and the AI control module.
Preferably, the charging module includes: a connection unit and a power supply unit;
the power supply unit is connected with the battery module through the connecting unit.
Preferably, the monitoring module comprises: the device comprises a voice detection unit, a video detection unit, a light detection unit, a distance detection unit and an infrared detection unit.
Further, the invention also provides a household intelligent electric quantity control method, which comprises the following steps:
the AI control module sends a command for inquiring power failure information to the remote information server;
when power failure information is obtained, acquiring corresponding power failure time, current residual electric quantity of the battery module and a power utilization strategy of the intelligent home module, and calculating available power supply time and available charging time of the battery module;
and adjusting the working mode of the battery module and the power utilization priority of the intelligent household module according to the relation between the power supply available time and the power failure available time, and sending a prompt to a user.
Preferably, the specific process of adjusting the operation mode of the battery module includes:
detecting voice information of a user and/or action information of the user through the monitoring module, and sending the voice information and/or the action information to the AI control module;
and the AI control module identifies the voice information of the user and/or the action information of the user to realize the adjustment of the working mode of the battery module.
Preferably, the specific process of adjusting the operation mode of the battery module further includes:
the user terminal sends a control instruction to the intelligent controller;
the intelligent controller identifies the control instruction and sends the control instruction to the AI control module;
the AI control module feeds back to the battery module to realize the adjustment of the working mode of the battery module.
Preferably, the user electricity utilization strategy is obtained by an AI learning method.
Compared with the prior art, the invention discloses and provides an intelligent electric quantity control system and method, and the system and method have the following beneficial effects:
(1) the method has the advantages that three-party linkage of a power grid, power supply equipment and a user terminal is realized, the control strategy of electricity for the equipment and battery charging and discharging is automatically deployed, the strategy does not need to be changed frequently by a user, the plan is intelligently and comprehensively planned, energy is saved, consumption is reduced, the power module cannot fully play a role in power failure, the utilization rate of a battery system is improved while the cost is reduced by 'peak clipping and valley filling', and the charging and discharging strategies are scientifically and auxiliarily deployed;
(2) there are several power supply control modes: the power utilization habits of the user can be acquired through an AI learning method, and the query and the change of the power supply running state can be completed through the voice of the user or the action of the user, so that the operation process of the user is simplified, and the method is suitable for various people to operate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural block diagram of an intelligent power control system according to the present invention;
fig. 2 is a schematic block diagram of a monitoring module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides an intelligent power control system, including:
the AI control module 1 is used for realizing the integral control function;
a battery module 2 for supplying overall electric power;
the battery module 2 can be composed of a plurality of single batteries (various types such as sodium ion batteries, lithium batteries and lead-acid batteries) connected in series or in parallel;
the battery module 2 is connected with the AI control module 1 through the battery management module 3 and is used for realizing the detection and conversion of electric energy;
the monitoring module 4 is connected with the AI control module 1 and is used for acquiring indoor information in real time;
the wireless communication module 5 is connected with the AI control module 1;
specifically, the wireless communication module 4 can adopt a Wi-Fi + BLE double-module design, has ultrahigh radio frequency performance, stability, universality and reliability, and ultralow power consumption, meets different power consumption requirements, and is suitable for various application scenes;
the remote information server 6 is connected with the AI control module 1 through the wireless communication module 5;
the intelligent home module 7 is connected with the AI control module 1, and the intelligent home module 7 is connected with the AI control module 1;
the intelligent household module 7 may include various intelligent household appliances such as an intelligent curtain, an intelligent air conditioner, an intelligent lamp, an intelligent water heater and an intelligent electric cooker.
In a specific embodiment, the method further comprises the following steps: and the intelligent controller 8, wherein the intelligent controller 8 is connected with the AI control module 1.
In a specific embodiment, the method further comprises the following steps: and the user terminal 9 is connected with the AI control module 1 through the intelligent controller 8, and the user terminal 9 is connected with the AI control module 1 through the intelligent controller 8.
In a specific embodiment, the method further comprises the following steps: and the charging module 10, wherein the charging module 10 is connected with the battery module 2.
In a particular embodiment, the battery management module 3 comprises:
the electric energy conversion unit 31 is connected with the AI control module 1 and the battery module 2, mainly comprises an AC-DC bidirectional converter and a DC-DC converter, and realizes the conversion of alternating current/direct current;
the electric quantity detection unit 32, the electric quantity detection unit 32 is connected with the battery module 2 and the AI control module 1; wherein the charge detection unit 32 may be implemented by a conventional charge detector.
In a particular embodiment, the charging module 10 comprises: a connection unit 101 and a power supply unit 102;
the power supply unit 102 is connected to the battery module 2 via the connection unit 101.
Wherein the connection unit 101 may include any one or more of a circuit breaker, an ac connector, and a dc connector.
Referring to fig. 2, in one particular embodiment, the monitoring module 4 includes: a voice detection unit 41, a video detection unit 42, a light detection unit 43, a distance detection unit 44, and an infrared detection unit 45.
In a specific embodiment, the method further comprises the following steps: and the display module 11, the display module 11 is connected with the AI control module 1, and the display module 11 may be a touch screen.
Specifically, the types of the monitoring module and the matching circuit are all the prior art.
The embodiment of the invention also provides a household intelligent electric quantity control method, which comprises the following steps:
the AI control module 1 sends a command for inquiring power failure information to the remote information server 6;
when the power failure information is obtained, acquiring the corresponding power failure time T2, the current remaining capacity SOC of the battery module 2 and the power utilization strategy of the intelligent household module 7, and calculating the available power supply time T1, the available charging time T3 and the available power supply time T4 after charging of the battery module 2;
according to the relation between the power supply available time length T1 and the power failure time length T2, the working mode of the battery module 2 and the power utilization priority of the intelligent household module 7 are adjusted, and a prompt is given to a user.
Specifically, the work priority of adjusting intelligent house module 7, specific process includes:
when T1> T2, closing the smart home with the priority of 5;
and when the T1 is less than T2, issuing a corresponding closing instruction according to the power utilization strategy of the intelligent household module 7.
Specifically, the specific process of adjusting the work priority of the smart home module 7 further includes:
when T4> T2, closing the smart home with the priority of 5;
when T4 is less than T2, namely the power supply time of the charged battery does not meet the power failure time, the AI calculates the level of closing according to the habit of the user, and closes the AI in sequence according to the priority level until the power failure time is met, if the power failure time is not met, only the intelligent home with the priority level of 1 is reserved, and the user is informed.
The priority of the smart home is set to be 1, so that the basic load of daily life of a user is guaranteed; the priority is 2, and the load with the highest use frequency is used by the user; the priority is 3, and the load is an auxiliary low-power-consumption load; the priority is 4, and the load is customized for the user; and the priority is 5, and the load is a high-power load.
In a specific embodiment, the specific process of adjusting the operation mode of the battery module 2 includes:
voice information of a user and/or action information of the user are detected by the monitoring module 4 and sent to the AI control module 1;
the AI control module 1 identifies the voice information of the user and/or the action information of the user, so as to adjust the working mode of the battery module 2.
For example, a user inputs a voice "query battery state", and after the voice is recognized by the AI control module 1, a query instruction is issued and information such as electric quantity, voltage, running time and the like is displayed by the display module 8.
For example, after a user recognizes through a set specific gesture by the AI control module 1, a query instruction is issued and information such as electric quantity, voltage, operation time, etc. is displayed by the display module.
In a specific embodiment, the specific process of adjusting the operation mode of the battery module 2 further includes:
the user terminal 9 sends a control instruction to the intelligent controller 8;
the intelligent controller 8 identifies the control instruction and sends the control instruction to the AI control module 1;
the AI control module 1 feeds back to the battery module 2 to realize the adjustment of the working mode of the battery module 2.
For example, after the user sends an instruction "energy saving mode", the AI control module 1 identifies the command, calculates the time required for charging according to the remaining battery power information and the user habit, selects a charging mode, automatically changes the on/off-line/scheduled operation mode, and closes the non-important smart home through the smart controller 8, and the same user can also complete the operation through a specific gesture stored in advance.
Specifically, can also include emergent adjustment mode, the user can assign emergent mode instruction through user terminal, pronunciation and battery system's touch-sensitive screen, uses AI study control strategy, realizes the operation that a key closed non-important equipment, switch through intelligent control ware, and the important load of priority guarantee provides overlength power supply time for the user.
In a specific embodiment, the user power usage policy is obtained through an AI learning method.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. An intelligent power control system, comprising:
the AI control module (1) is used for realizing the integral control function;
a battery module (2) for providing the overall electrical energy;
the battery management module (3), the battery module (2) is connected with the AI control module (1) through the battery management module (3) and is used for realizing the detection and conversion of electric energy;
the monitoring module (4) is connected with the AI control module (1) and is used for collecting indoor information in real time;
the wireless communication module (5), the said wireless communication module (5) is connected with said AI control module (1);
the remote information server (6), the remote information server (6) is connected with the AI control module (1) through the wireless communication module (5);
the intelligent home furnishing module (7), the intelligent home furnishing module (7) is connected with the AI control module (1).
2. The intelligent power control system of claim 1, further comprising: an intelligent controller (8), the intelligent controller (8) is connected with the AI control module (1).
3. The intelligent power control system of claim 2, further comprising: the user terminal (9), the user terminal (9) passes through intelligent control ware (8) with AI control module (1) is connected.
4. The intelligent power control system of claim 1, further comprising: a charging module (10), the charging module (10) being connected with the battery module (2).
5. An intelligent power control system according to claim 1, wherein the battery management module (3) comprises:
an electric energy conversion unit (31), the electric energy conversion unit (31) being connected to the AI control module (1) and the battery module (2);
the electric quantity detection unit (32), electric quantity detection unit (32) with battery module (2) and AI control module (1) are connected.
6. An intelligent power control system according to claim 4, wherein the charging module (10) comprises: a connection unit (101) and a power supply unit (102);
the power supply unit (102) is connected to the battery module (2) via the connection unit (101).
7. An intelligent power control system according to claim 1, wherein the monitoring module (4) comprises: the device comprises a voice detection unit (41), a video detection unit (42), a light detection unit (43), a distance detection unit (44) and an infrared detection unit (45).
8. A household intelligent electric quantity control method is characterized by comprising the following steps:
the AI control module (1) sends a command for inquiring power failure information to the remote information server (6);
when power failure information is obtained, acquiring corresponding power failure time, current residual electric quantity of the battery module (2) and a power utilization strategy of the intelligent household module (7), and calculating available power supply time and available charging time of the battery module (2);
and adjusting the working mode of the battery module (2) and the power utilization priority of the intelligent household module (7) according to the relation between the power supply available time and the power failure available time, and giving a prompt to a user.
9. The household intelligent electric quantity control method according to claim 8, characterized in that the specific process of adjusting the working mode of the battery module (2) comprises:
voice information of a user and/or action information of the user are detected through the monitoring module (4) and sent to the AI control module (1);
the AI control module (1) identifies the voice information of the user and/or the action information of the user, and realizes the adjustment of the working mode of the battery module (2).
10. The household intelligent electric quantity control method according to claim 8, wherein the specific process of adjusting the working mode of the battery module (2) further comprises:
the user terminal (9) sends a control instruction to the intelligent controller (8);
the intelligent controller (8) identifies the control instruction and sends the control instruction to the AI control module (1);
the AI control module (1) feeds back to the battery module (2) to realize the adjustment of the working mode of the battery module (2).
CN202111363025.4A 2021-11-17 2021-11-17 Intelligent electric quantity control system and method Pending CN113917880A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111363025.4A CN113917880A (en) 2021-11-17 2021-11-17 Intelligent electric quantity control system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111363025.4A CN113917880A (en) 2021-11-17 2021-11-17 Intelligent electric quantity control system and method

Publications (1)

Publication Number Publication Date
CN113917880A true CN113917880A (en) 2022-01-11

Family

ID=79247338

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111363025.4A Pending CN113917880A (en) 2021-11-17 2021-11-17 Intelligent electric quantity control system and method

Country Status (1)

Country Link
CN (1) CN113917880A (en)

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