CN112731826A - Internet of things control method based on intelligent sensor - Google Patents
Internet of things control method based on intelligent sensor Download PDFInfo
- Publication number
- CN112731826A CN112731826A CN202011447314.8A CN202011447314A CN112731826A CN 112731826 A CN112731826 A CN 112731826A CN 202011447314 A CN202011447314 A CN 202011447314A CN 112731826 A CN112731826 A CN 112731826A
- Authority
- CN
- China
- Prior art keywords
- electricity utilization
- household
- user
- electricity
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 15
- 230000005611 electricity Effects 0.000 claims abstract description 58
- 238000004220 aggregation Methods 0.000 claims description 5
- 230000002776 aggregation Effects 0.000 claims description 5
- 238000010248 power generation Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides an Internet of things control method based on an intelligent sensor, which comprises the following steps: each household residence comprises a plurality of household appliances, and each household appliance is provided with an intelligent sensor for collecting power consumption data; the electricity utilization data acquired by the intelligent sensor within a period of time are transmitted to the sink node, the sink node analyzes the acquired data in a time dimension, and the analyzed data are uploaded to the cloud server side; after analyzing the electricity utilization condition of each household residence, the cloud server issues an electricity utilization time scheme with the same property of household appliances and low electricity utilization cost to each user; after the distribution, in the next analysis period, analyzing the user electricity consumption data of the received distribution scheme, and uploading the user electricity consumption data to a server side of the cloud end through a sink node; and the cloud server side counts the electricity utilization habit change of the user through two comparison and analysis, and the electricity utilization habit change is used as an adjustment scheme of the generated energy and the low-price electricity utilization time of the power grid.
Description
Technical Field
The invention relates to the technical field of power monitoring, in particular to an Internet of things control method based on an intelligent sensor.
Background
The existing household electricity consumption does not realize accurate statistics on electricity consumption statistics, so that a power grid lacks relevant basis on load adjustment. In the prior art, the adjustment of the power consumption of the power grid is mainly performed according to the overall power grid load degree, and in the aspect of power adjustment of the power grid, a more detailed data basis is lacked, and the relationship between effective power consumption and the power grid load is lacked, so that accurate adjustment is difficult.
Disclosure of Invention
The embodiment of the invention provides an Internet of things control method based on an intelligent sensor, which aims to overcome the defect that the prior art is difficult to accurately adjust.
The invention provides an Internet of things control method based on an intelligent sensor, which comprises the following steps:
each household residence comprises a plurality of household appliances, and each household appliance is provided with an intelligent sensor for collecting power consumption data;
the electricity utilization data acquired by the intelligent sensor within a period of time are transmitted to the sink node, and the acquisition period is week/month/year;
the aggregation node analyzes the time dimension of the acquired data and uploads the analyzed data to the cloud server side; wherein each house has an ID, and each ID corresponds to a home appliance with an associated attribute value;
after analyzing the electricity utilization condition of each household residence, the cloud server issues an electricity utilization time scheme with the same property of household appliances and low electricity utilization cost to each user;
after the distribution, in the next analysis period, analyzing the user electricity consumption data of the received distribution scheme, and uploading the user electricity consumption data to a server side of the cloud end through a sink node;
and the cloud server side counts the electricity utilization habit change of the user through two comparison and analysis, and the electricity utilization habit change is used as an adjustment scheme of the generated energy and the low-price electricity utilization time of the power grid.
Preferably, the housing includes commercial housing and residential housing.
Preferably, the attributes of the powered device include: home appliance name, power.
Preferably, the electricity utilization scheme comprises: the brand of the household appliance, the model of the household appliance, the power, and the power usage time period.
The cloud server collects the power utilization condition of the user regularly, and the power generation amount of the power plant is adjusted in time by analyzing the power utilization time and power consumption change of the user in a cycle for many times, and the power generation amount of the power plant and the load condition of a power grid. The method can reduce the load of the power grid in busy hours and reduce the fault rate of the power grid.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart of an internet of things control method according to a preferred embodiment of the present invention;
fig. 2 is a schematic structural diagram of an internet of things management system according to a preferred embodiment of 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 some, not all, embodiments of the present invention. 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.
The embodiment of the invention provides an internet of things control method based on an intelligent sensor, and with reference to fig. 1, the method comprises the following steps:
s11: each household residence comprises a plurality of household appliances, and each household appliance is provided with an intelligent sensor for collecting power consumption data;
the electric energy consumption data comprises parameters such as current, voltage, kilowatt/hour and the like.
S12: the electricity utilization data acquired by the intelligent sensor within a period of time are transmitted to the sink node, and the acquisition period is week/month/year;
s13: the aggregation node analyzes the time dimension of the acquired data and uploads the analyzed data to the cloud server side; wherein each house has an ID, and each ID corresponds to a home appliance with an associated attribute value;
referring to fig. 2, in the embodiment, fig. 2 is a schematic diagram of a power supply system of a plurality of smart homes.
The household 1 and the household 2 are respectively provided with respective household appliances, and each household appliance is provided with an intelligent sensor for collecting power consumption data of the power consumption device, such as current fluctuation, power consumption power, power consumption duration and other data.
The electricity utilization data are subsequently sent to the user side of the cloud end through the aggregation node.
The sink node is mainly responsible for connection between the sensor network and an external network (such as gprs, 4g, internet, etc.) in the sensor network, and may be regarded as a gateway node.
In the application, the intelligent sensor mainly comprises a sensor for detecting data, an analog-to-digital conversion module, a chip and a wireless transceiving module.
After the intelligent sensor collects data, the data are transmitted to the sink node through a wireless network/a wired network.
And after the collected data is processed according to a transmission protocol by the aggregation node, the data is transmitted to a server at the cloud end through a network.
S14: after analyzing the electricity utilization condition of each household residence, the cloud server issues an electricity utilization time scheme with the same property of household appliances and low electricity utilization cost to each user;
for example, in the embodiment, the power consumption of the household appliances of the home 1, the home 2, and the home n is collected and sent to the network side in the cloud.
The network side at the high in the clouds is to the power consumption condition of every family, carries out the analysis, includes: and comparing the models, brands, power consumption time and the like of the household appliances of each family. And comparing and analyzing the electricity consumption cost with the same family name and the consistent household appliance number, and sending the electricity consumption time scheme with low electricity consumption cost to the corresponding user.
For example, in the embodiment, the electricity consumption of the user at home 2 is lower in cost than that of home 1 and other homes N.
And the cloud server sends the brands, the model electricity utilization time, the electricity utilization power and the like of the household appliances of the household 1 to the household users.
S15: after the distribution, in the next analysis period, analyzing the user electricity consumption data of the received distribution scheme, and uploading the user electricity consumption data to a server side of the cloud end through a sink node;
after receiving the electricity utilization condition of the household 1, other household users can adjust own electricity utilization habits by combining the electricity prices of the household users and different time periods of the power grid, change household equipment models and select the electric equipment models with low energy consumption levels.
Especially for the devices with higher power consumption, such as the household appliances like an oven, a dryer, an air conditioner, an electric heater, etc.
For the starting time, the starting duration and different brand models, the electricity consumption time is adjusted in the electricity consumption taking years as units, and if the electricity consumption time is selected to be used in the morning or at night, the electricity consumption cost can be obviously reduced, and the electricity consumption cost of each degree of electricity can be reflected.
After one or more analysis cycles, the user may change electricity usage time or update a point of use device that consumes less energy.
If the power utilization time of the power utilization equipment which is not required to be started immediately is adjusted, the washing machine and the dryer are adjusted to the morning; the water heater is selected to be started at night, so that the water heater is prevented from being started after dinner.
Through these adjustments, electricity costs are reduced.
S16: and the cloud server side counts the electricity utilization habit change of the user through two comparison and analysis, and the electricity utilization habit change is used as an adjustment scheme of the generated energy and the low-price electricity utilization time of the power grid.
The cloud server collects the power utilization condition of the user regularly, and the power generation amount of the power plant is adjusted in time by analyzing the power utilization time and power consumption change of the user in a cycle for many times, and the power generation amount of the power plant and the load condition of a power grid. The method can reduce the load of the power grid in busy hours and reduce the fault rate of the power grid.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (4)
1. An Internet of things control method based on an intelligent sensor is characterized by comprising the following steps:
each household residence comprises a plurality of household appliances, and each household appliance is provided with an intelligent sensor for collecting power consumption data;
the electricity utilization data acquired by the intelligent sensor within a period of time are transmitted to the sink node, and the acquisition period is week/month/year;
the aggregation node analyzes the time dimension of the acquired data and uploads the analyzed data to the cloud server side; wherein each house has an ID, and each ID corresponds to a home appliance with an associated attribute value;
after analyzing the electricity utilization condition of each household residence, the cloud server issues an electricity utilization time scheme with the same property of household appliances and low electricity utilization cost to each user;
after the distribution, in the next analysis period, analyzing the user electricity consumption data of the received distribution scheme, and uploading the user electricity consumption data to a server side of the cloud end through a sink node;
and the cloud server side counts the electricity utilization habit change of the user through two comparison and analysis, and the electricity utilization habit change is used as an adjustment scheme of the generated energy and the low-price electricity utilization time of the power grid.
2. The internet of things control method of claim 1, wherein the residences comprise commercial residences and residential residences.
3. The internet of things control method of claim 1, wherein the attributes of the electric device comprise: home appliance name, power.
4. The internet of things control method of claim 1, wherein the electricity utilization scheme comprises: the brand of the household appliance, the model of the household appliance, the power, and the power usage time period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011447314.8A CN112731826A (en) | 2020-12-11 | 2020-12-11 | Internet of things control method based on intelligent sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011447314.8A CN112731826A (en) | 2020-12-11 | 2020-12-11 | Internet of things control method based on intelligent sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112731826A true CN112731826A (en) | 2021-04-30 |
Family
ID=75599290
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011447314.8A Pending CN112731826A (en) | 2020-12-11 | 2020-12-11 | Internet of things control method based on intelligent sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112731826A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114565325A (en) * | 2022-04-28 | 2022-05-31 | 睿至科技集团有限公司 | Big data analysis method and system of power Internet of things |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103855808A (en) * | 2014-03-26 | 2014-06-11 | 四川启明星蜀达电气有限公司 | PPCloud-based intelligent household power efficiency analysis system and method |
| CN103984307A (en) * | 2014-05-08 | 2014-08-13 | 国网山西省电力公司经济技术研究院 | Energy monitoring management system and method based on electricity waveform analysis |
| CN107704961A (en) * | 2017-09-30 | 2018-02-16 | 广东美的制冷设备有限公司 | Household electrical appliances electricity consumption data Forecasting Methodology, device and readable storage medium storing program for executing |
| CN108462173A (en) * | 2018-04-23 | 2018-08-28 | 黄宇松 | A kind of electric energy control method, device and equipment based on user power utilization custom |
| CN109004654A (en) * | 2018-08-03 | 2018-12-14 | 上海华群实业股份有限公司 | A kind of house is for pyroelectric monitor and control system |
| CN111711271A (en) * | 2020-06-18 | 2020-09-25 | 国网河北省电力有限公司石家庄供电分公司 | Power demand adjustment system based on data analysis |
| US20200327206A1 (en) * | 2019-04-12 | 2020-10-15 | General Electric Company | Systems and methods for distributed power system model calibration |
-
2020
- 2020-12-11 CN CN202011447314.8A patent/CN112731826A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103855808A (en) * | 2014-03-26 | 2014-06-11 | 四川启明星蜀达电气有限公司 | PPCloud-based intelligent household power efficiency analysis system and method |
| CN103984307A (en) * | 2014-05-08 | 2014-08-13 | 国网山西省电力公司经济技术研究院 | Energy monitoring management system and method based on electricity waveform analysis |
| CN107704961A (en) * | 2017-09-30 | 2018-02-16 | 广东美的制冷设备有限公司 | Household electrical appliances electricity consumption data Forecasting Methodology, device and readable storage medium storing program for executing |
| CN108462173A (en) * | 2018-04-23 | 2018-08-28 | 黄宇松 | A kind of electric energy control method, device and equipment based on user power utilization custom |
| CN109004654A (en) * | 2018-08-03 | 2018-12-14 | 上海华群实业股份有限公司 | A kind of house is for pyroelectric monitor and control system |
| US20200327206A1 (en) * | 2019-04-12 | 2020-10-15 | General Electric Company | Systems and methods for distributed power system model calibration |
| CN111711271A (en) * | 2020-06-18 | 2020-09-25 | 国网河北省电力有限公司石家庄供电分公司 | Power demand adjustment system based on data analysis |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114565325A (en) * | 2022-04-28 | 2022-05-31 | 睿至科技集团有限公司 | Big data analysis method and system of power Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Han et al. | Smart home energy management system including renewable energy based on ZigBee and PLC | |
| US8949050B2 (en) | Smartgrid energy-usage-data storage and presentation systems, devices, protocol, and processes including a visualization, and load fingerprinting process | |
| CN107359487B (en) | Distributed remote control electrical appliance socket and electricity management method | |
| CN101772692B (en) | Method, apparatus and system for user-assisted resource usage determination | |
| Luechaphonthara et al. | IOT based application for monitoring electricity power consumption in home appliances | |
| WO2009137654A1 (en) | System and method to monitor and manage performance of appliances | |
| Song et al. | An IoT-based smart controlling system of air conditioner for high energy efficiency | |
| Ren et al. | Home energy management system for the residential load control based on the price prediction | |
| KR101662705B1 (en) | Apparatus for verifying and managing of consumption electric power data in a green home electric power management system and method thereof | |
| CN110910183A (en) | Intelligent community instrument data rapid processing system and method based on edge calculation | |
| Mohsenzadeh et al. | Applying fuzzy techniques to model customer comfort in a smart home control system | |
| CN112731826A (en) | Internet of things control method based on intelligent sensor | |
| Carreiro et al. | In-house monitoring and control network for the Smart Grid of the future | |
| CN103855807A (en) | System, method and execution module capable of achieving domestic intelligent power grid management | |
| Saha et al. | A robust building energy management algorithm validated in a smart house environment | |
| KR20120000026A (en) | Network system | |
| CN112072635A (en) | Intelligent power supply and utilization system and method and intelligent power utilization system | |
| CN204856192U (en) | Mutual terminal equipment of intelligence who contains distributed generator management | |
| Shakeri et al. | Transformation of conventional houses to smart homes by adopting demand response program in smart grid | |
| Lachut et al. | Minimizing intrusiveness in home energy measurement | |
| Soe et al. | Energy management system and interactive functions of smart plug for smart home | |
| Shinde | Home energy management system for demand response applications | |
| CN112230609A (en) | Household energy monitoring system and management system | |
| Zala et al. | Energy meter data acquisition system with wireless communication for smart metering application | |
| CN206211660U (en) | A kind of measurement regulator control system of area's grid virtual unit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210430 |