CN113447711A - Intelligent ammeter with old people electricity utilization abnormity warning function and warning method thereof - Google Patents
Intelligent ammeter with old people electricity utilization abnormity warning function and warning method thereof Download PDFInfo
- Publication number
- CN113447711A CN113447711A CN202110882555.3A CN202110882555A CN113447711A CN 113447711 A CN113447711 A CN 113447711A CN 202110882555 A CN202110882555 A CN 202110882555A CN 113447711 A CN113447711 A CN 113447711A
- Authority
- CN
- China
- Prior art keywords
- electricity
- power
- interval period
- consumption
- electricity consumption
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/063—Details of electronic electricity meters related to remote communication
Abstract
The invention relates to an intelligent ammeter with an old people electricity utilization abnormity warning function and a warning method thereof, wherein the warning method comprises the following steps: the electricity consumption data statistics module is used for acquiring electricity consumption data in the electricity meter body and respectively counting the electricity consumption data of each interval period according to the preset interval period; the power utilization data setting module is used for respectively setting planned power utilization data of each interval period; the abnormity judging module is used for comparing the electricity utilization data counted by the electricity utilization data counting module with the planned electricity utilization data set by the interval period electricity utilization data setting module so as to judge whether the electricity utilization of the old people is abnormal in the interval period. According to the invention, the electricity consumption data in each period is counted according to the period and is compared with the preset planned electricity consumption data, so that whether the electricity consumption of the old people is abnormal in the period can be judged, the life condition of the old people is judged, and the problem that the solitary old people cannot be timely contacted with family when falling down, coma and other accidents are solved to a great extent.
Description
Technical Field
The invention relates to the technical field of intelligent electric meters, in particular to an intelligent electric meter with an old people electricity utilization abnormity warning function and a warning method thereof.
Background
The power consumption data of the household electric meter can reflect the power consumption condition of a family, particularly the power consumption condition of the old who lives alone is relatively fixed, and the life habits of the old are mostly fixed, such as going to sleep, getting up, cooking on time, watching television and the like, so that the power consumption condition of the old who lives alone can reflect the life condition of the old.
Disclosure of Invention
The invention aims to judge whether abnormal conditions occur to family members according to the household electricity utilization condition, is characterized by the household electricity utilization condition of the elderly living alone, and provides an intelligent ammeter with the function of alarming abnormal electricity utilization of the elderly and an alarming method thereof.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
the utility model provides an intelligent ammeter with old man power consumption abnormity alarming function, includes the ammeter body:
the electricity consumption data statistics module is used for acquiring electricity consumption data in the electricity meter body and respectively counting the electricity consumption data of each interval period according to the preset interval period;
the power consumption data setting module is used for setting interval periods and respectively setting planned power consumption data of each interval period;
and the abnormity judgment module is used for comparing the electricity utilization data counted by the electricity utilization data counting module with the planned electricity utilization data set by the interval period electricity utilization data setting module so as to judge whether the electricity utilization of the old people is abnormal in the interval period.
Furthermore, the electricity consumption data is electricity consumption; the set planned electricity consumption data of each interval period comprises maximum electricity consumption and minimum electricity consumption; and if the electricity consumption counted by the electricity consumption data counting module is not in the range of the maximum electricity consumption and the minimum electricity consumption, judging that the electricity consumption of the old people in the interval period is abnormal.
Furthermore, the electricity consumption data are electricity consumption power, actual maximum electricity consumption power and actual minimum electricity consumption power; the set planned electricity utilization data of each interval period comprise maximum electricity utilization power, minimum electricity utilization power and minimum electricity utilization power variation; if the power consumption power counted by the power consumption data counting module is not in the range of the maximum power consumption power and the minimum power consumption power, or the actual power consumption power variable quantity counted by the power consumption data counting module is smaller than the minimum power consumption power variable quantity, the power consumption abnormality of the old people in the interval is judged, and the actual power consumption power variable quantity is equal to the difference between the actual maximum power consumption power and the actual minimum power consumption power in the interval.
Furthermore, the electric meter further comprises a timing module which is used for setting the time for the electricity data statistical module to acquire the electricity data in the electric meter body.
Furthermore, the power consumption monitoring system further comprises a remote communication module, wherein the remote communication module is connected with the abnormity judging module, and when the abnormity judging module judges that the power consumption of the old people in the interval is abnormal, the remote communication module is triggered to send alarm information.
An alarming method of an intelligent ammeter with an old people electricity utilization abnormity alarming function comprises the following steps:
dividing 24 hours a day into a plurality of intervals, taking each interval as an interval period, and setting planned electricity utilization data of each interval period;
acquiring power consumption data in an ammeter body, and respectively counting the power consumption data of each period for a preset interval period;
and comparing the counted electricity utilization data of each interval period with the set planned electricity utilization data of the same interval period, and judging whether the electricity utilization of the old people is abnormal in the period.
Further, the step of setting the planned electricity consumption data for each interval cycle includes: and setting the maximum power consumption, the minimum power consumption, the maximum power consumption, the minimum power consumption and the minimum power consumption variable quantity of the planned power consumption data of each interval period.
Further, the step of comparing the counted electricity consumption data of each interval period with the set planned electricity consumption data of the same interval period and judging whether the electricity consumption of the old people is abnormal in the period includes:
the electricity consumption data comprise electricity consumption, electricity consumption power, actual maximum electricity consumption power and actual minimum electricity consumption power;
if the counted electricity consumption of a certain interval period is not in the range of the maximum electricity consumption and the minimum electricity consumption, judging that the electricity consumption of the old people in the interval period is abnormal;
or if the counted electricity power of a certain interval period is not in the range of the maximum electricity power and the minimum electricity power, judging that the electricity consumption of the old people in the period is abnormal;
or if the counted actual power consumption variation of a certain interval period is smaller than the minimum power consumption variation, judging that the old people in the period use electricity abnormally; and the actual power consumption variation is equal to the difference between the actual maximum power consumption and the actual minimum power consumption in the interval period.
Furthermore, after the power utilization abnormality of the old people in the interval period is judged, the method further comprises the following steps:
after the power utilization of the old people in the interval period is judged to be abnormal, alarm information is sent to a remotely connected terminal, wherein the alarm information comprises the interval period of abnormal power utilization;
or after the electricity utilization abnormality of the old people in a plurality of interval periods is continuously judged, alarm information is sent to a remotely connected terminal.
Furthermore, after the power consumption of the old people is judged to be abnormal in the period, the method further comprises the following steps:
after the power consumption of the old people is judged to be abnormal, the intelligent electric meter is powered off for T seconds at first, the circuit is switched on again after the T seconds, the user uses electrical equipment after being powered on again within M seconds, the power consumption power variation is larger than the minimum power consumption power variation, and then alarm information is sent to a remotely connected terminal in a cancellation mode.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through acquiring the household electricity consumption data of the old, respectively counting the electricity consumption data in each period according to the period and comparing the electricity consumption data with the preset planned electricity consumption data, whether the electricity consumption of the old is abnormal in the period can be judged, so that whether the life condition of the old is abnormal can be judged, and the problem that the solitary old cannot be timely contacted with family when falling down, coma and other accidents can be solved to a great extent.
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 embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an intelligent electric meter module according to the 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. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
the invention is realized by the following technical scheme, as shown in fig. 1, the intelligent ammeter with the old people electricity consumption abnormity warning function comprises an ammeter body, an electricity consumption data statistics module, an electricity consumption data setting module and an abnormity judgment module, wherein:
the electricity consumption data statistics module is used for acquiring electricity consumption data in the electricity meter body and respectively counting electricity consumption data of each interval period according to the interval periods preset by the electricity consumption data setting module. The preset interval periods are not necessarily equal, for example, when the periods are divided according to 24 hours, the periods can be divided according to the living habits of the elderly living alone:
| first interval period | 0 point to 7 points |
| Second interval period | 8 points to 12 points |
| The third interval period | 13 to 16 points |
| The fourth interval period | 16 points to 20 points |
| Period of the fifth interval | 20 point-0 point |
And then respectively counting electricity consumption data of each interval period, wherein the counted electricity consumption data comprise electricity consumption, electricity consumption power, actual maximum electricity consumption power and actual minimum electricity consumption power.
The power consumption data setting module is used for setting the interval period and then respectively setting the planned power consumption data of each interval period. And the abnormity judging module is used for comparing the electricity utilization data counted by the electricity utilization data counting module with the planned electricity utilization data set by the interval period electricity utilization data setting module so as to judge whether the electricity utilization of the old people is abnormal in the interval period.
The set planned electricity consumption data of each section period comprises maximum electricity consumption and minimum electricity consumption. For example, the planned electricity consumption data of each interval period is respectively set according to the interval periods divided by the above examples, and the first interval period is the sleep time of the old at night, so that the minimum electricity consumption can be set to be 0 degree, the maximum electricity consumption can be set to be 1 degree, and the range of the available electricity consumption is 1 degree. And if the electricity consumption of the first interval period counted by the electricity consumption data counting module is more than 1 degree, judging that the old people are abnormal in electricity consumption of the first interval period.
The set planned electricity consumption data of each interval period may further include maximum electricity consumption power, minimum electricity consumption power, and minimum electricity consumption power variation. For example, the planned electricity consumption data for each interval period is set according to the interval periods divided by the above example, please exemplify. And if the electricity consumption power of a certain interval period counted by the electricity consumption data counting module is not in the range of the maximum electricity consumption power and the minimum electricity consumption power, judging that the electricity consumption of the old is abnormal in the interval period.
Or the actual power consumption variation of a certain interval period counted by the power consumption data counting module is smaller than the minimum power consumption variation, for example, it is determined that the power consumption of the old people in the interval period is abnormal, and the actual power consumption variation is equal to the difference between the actual maximum power consumption and the actual minimum power consumption in the interval period.
Based on the intelligent electric meter, the scheme also provides an alarm method of the intelligent electric meter with the function of alarming abnormal electricity consumption of the old, and the alarm method comprises the following steps:
step S1: and setting a preset interval period, and setting planned power utilization data of each interval period.
The preset period is set according to the living habits of the old, and the duration of each interval period can be unequal.
And setting the maximum power consumption, the minimum power consumption, the maximum power consumption, the minimum power consumption and the minimum power consumption variable quantity of the planned power consumption data of each interval period.
Step S2: and acquiring power consumption data in the ammeter body, and judging preset interval periods to respectively count the power consumption data of each interval period.
Setting time delta T for acquiring power consumption data in the ammeter body, wherein the delta T is more than or equal to a preset interval period delta T; and acquiring the electricity utilization data in the ammeter body every time delta t.
Each preset interval period Δ T may be different, for example, if the first interval period is 7 hours, the second interval period is 4 hours, and the like, then the preset interval period Δ T = {7,4,3,4,4 }. The time delta t for acquiring the electricity consumption data in the electricity meter body can be set to be different, as an optimal mode, the electricity consumption data can be acquired according to a preset interval period, namely, one-time electricity consumption data is acquired in 7 hours, one-time electricity consumption data is acquired in 4 hours, one-time electricity consumption data is acquired in 3 hours, and the like, so that the time delta t for acquiring the electricity consumption data is not equal to {7,4,3,4,4 }.
The reason why Δ T is equal to or larger than Δ T is to acquire the electricity data in the corresponding interval period each time the electricity data is acquired.
Step S3: and comparing the counted electricity utilization data of each interval period with the set planned electricity utilization data of the same interval period, and judging whether the electricity utilization of the old people is abnormal in the interval period.
The electricity consumption data comprise electricity consumption, electricity consumption power, actual maximum electricity consumption power and actual minimum electricity consumption power;
if the counted electricity consumption of a certain interval period is not in the range of the maximum electricity consumption and the minimum electricity consumption, judging that the electricity consumption of the old people in the interval period is abnormal;
or if the counted electricity power of a certain interval period is not in the range of the maximum electricity power and the minimum electricity power, judging that the electricity consumption of the old people in the interval period is abnormal;
or if the counted actual power consumption variation of a certain interval period is smaller than the minimum power consumption variation, judging that the power consumption of the old people in the interval period is abnormal; and the actual power consumption variation is equal to the difference between the actual maximum power consumption and the actual minimum power consumption in the interval period.
Step S4: after the power utilization of the old people in the interval period is judged to be abnormal, alarm information is sent to a remotely connected terminal, wherein the alarm information comprises the interval period of abnormal power utilization; or after the electricity utilization abnormality of the old people in a plurality of interval periods is continuously judged, alarm information is sent to a remotely connected terminal.
Step S5: after the power consumption of the old people is judged to be abnormal, the intelligent electric meter is powered off for T seconds at first, the circuit is switched on again after the T seconds, the user uses electrical equipment after being powered on again within M seconds, the power consumption power variation is larger than the minimum power consumption power variation, and then alarm information is sent to a remotely connected terminal in a cancellation mode.
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 (10)
1. The utility model provides an intelligent ammeter with old man power consumption abnormity alarming function, includes the ammeter body, its characterized in that: the method comprises the following steps:
the electricity consumption data statistics module is used for acquiring electricity consumption data in the electricity meter body and respectively counting the electricity consumption data of each interval period according to the preset interval period;
the power consumption data setting module is used for setting interval periods and respectively setting planned power consumption data of each interval period;
and the abnormity judgment module is used for comparing the electricity utilization data counted by the electricity utilization data counting module with the planned electricity utilization data set by the interval period electricity utilization data setting module so as to judge whether the electricity utilization of the old people is abnormal in the interval period.
2. The smart meter with the old people electricity consumption abnormity warning function according to claim 1, characterized in that: the electricity consumption data is electricity consumption;
the set planned electricity consumption data of each interval period comprises maximum electricity consumption and minimum electricity consumption;
and if the electricity consumption counted by the electricity consumption data counting module is not in the range of the maximum electricity consumption and the minimum electricity consumption, judging that the electricity consumption of the old people in the interval period is abnormal.
3. The smart meter with the old people electricity consumption abnormity warning function according to claim 1, characterized in that: the electricity utilization data comprise electricity utilization power, actual maximum electricity utilization power and actual minimum electricity utilization power;
the set planned electricity utilization data of each interval period comprise maximum electricity utilization power, minimum electricity utilization power and minimum electricity utilization power variation;
if the power consumption power counted by the power consumption data counting module is not in the range of the maximum power consumption power and the minimum power consumption power, or the actual power consumption power variable quantity counted by the power consumption data counting module is smaller than the minimum power consumption power variable quantity, the power consumption abnormality of the old people in the interval is judged, and the actual power consumption power variable quantity is equal to the difference between the actual maximum power consumption power and the actual minimum power consumption power in the interval.
4. The smart meter with the old people electricity consumption abnormity warning function according to claim 1, characterized in that: the electricity consumption data statistics module is used for acquiring electricity consumption data of the electricity meter body.
5. The smart meter with the old people electricity consumption abnormity warning function according to claim 1, characterized in that: the remote communication module is connected with the abnormity judgment module, and when the abnormity judgment module judges that the electricity consumption of the old people in the interval is abnormal, the remote communication module is triggered to send alarm information.
6. An alarming method of an intelligent ammeter with an old people electricity utilization abnormity alarming function is characterized in that: the method comprises the following steps:
dividing 24 hours a day into a plurality of intervals, taking each interval as an interval period, and setting planned electricity utilization data of each interval period;
acquiring power consumption data in an ammeter body, and respectively counting the power consumption data of each interval period for a preset interval period;
and comparing the counted electricity utilization data of each interval period with the set planned electricity utilization data of the same interval period, and judging whether the electricity utilization of the old people is abnormal in the period.
7. The alarm method of the smart meter with the old people electricity consumption abnormality alarm function according to claim 6, characterized in that: the step of setting the planned electricity consumption data for each interval cycle includes: and setting the maximum power consumption, the minimum power consumption, the maximum power consumption, the minimum power consumption and the minimum power consumption variable quantity of the planned power consumption data of each interval period.
8. The alarm method of the smart meter with the old people electricity consumption abnormality alarm function according to claim 7, characterized in that: the step of comparing the counted electricity consumption data of each interval period with the set planned electricity consumption data of the same interval period and judging whether the electricity consumption of the old people in the period is abnormal comprises the following steps:
the electricity consumption data comprise electricity consumption, electricity consumption power, actual maximum electricity consumption power and actual minimum electricity consumption power;
if the counted electricity consumption of a certain interval period is not in the range of the maximum electricity consumption and the minimum electricity consumption, judging that the electricity consumption of the old people in the interval period is abnormal;
or if the counted electricity power of a certain interval period is not in the range of the maximum electricity power and the minimum electricity power, judging that the electricity consumption of the old people in the interval period is abnormal;
or if the counted actual power consumption variation of a certain interval period is smaller than the minimum power consumption variation, judging that the power consumption of the old people in the interval period is abnormal; and the actual power consumption variation is equal to the difference between the actual maximum power consumption and the actual minimum power consumption in the interval period.
9. The alarm method of the smart meter with the old people electricity consumption abnormality alarm function according to claim 6, characterized in that: after the power consumption of the old people in the interval period is judged to be abnormal, the method further comprises the following steps:
after the power utilization of the old people in the interval period is judged to be abnormal, alarm information is sent to a remotely connected terminal, wherein the alarm information comprises the interval period of abnormal power utilization;
or after the electricity utilization abnormality of the old people in a plurality of interval periods is continuously judged, alarm information is sent to a remotely connected terminal.
10. The alarm method of the smart meter with the old people electricity consumption abnormality alarm function according to claim 9, characterized in that: the method also comprises the following alarming steps:
after the power consumption of the old people is judged to be abnormal, the intelligent electric meter is powered off for T seconds at first, the circuit is switched on again after the T seconds, the user uses electrical equipment after being powered on again within M seconds, the power consumption power variation is larger than the minimum power consumption power variation, and then alarm information is sent to a remotely connected terminal in a cancellation mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110882555.3A CN113447711A (en) | 2021-08-02 | 2021-08-02 | Intelligent ammeter with old people electricity utilization abnormity warning function and warning method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110882555.3A CN113447711A (en) | 2021-08-02 | 2021-08-02 | Intelligent ammeter with old people electricity utilization abnormity warning function and warning method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113447711A true CN113447711A (en) | 2021-09-28 |
Family
ID=77818006
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110882555.3A Pending CN113447711A (en) | 2021-08-02 | 2021-08-02 | Intelligent ammeter with old people electricity utilization abnormity warning function and warning method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113447711A (en) |
Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06243382A (en) * | 1993-02-19 | 1994-09-02 | Fujitsu Ltd | Safety meter inspection system |
| CN2729807Y (en) * | 2004-09-29 | 2005-09-28 | 浙江工业大学 | Security protection device for solitary old man or woman |
| CN1752720A (en) * | 2004-09-23 | 2006-03-29 | 浙江工业大学 | Old solitary people safety protection device based on life supply line |
| JP2007183890A (en) * | 2006-01-10 | 2007-07-19 | Chugoku Electric Power Co Inc:The | Living condition monitoring system, apparatus, method, and program |
| CN202003480U (en) * | 2011-01-07 | 2011-10-05 | 叶小艳 | Nursing system based on water meter, electricity meter and gas meter |
| CN203689650U (en) * | 2014-01-21 | 2014-07-02 | 北京城市系统工程研究中心 | Daily electricity consumption model collection device and daily electricity consumption model acquisition system |
| CN105004896A (en) * | 2015-07-17 | 2015-10-28 | 广东浩迪创新科技有限公司 | Electric meter system with period real-time power consumption data monitoring function |
| CN205193130U (en) * | 2015-12-02 | 2016-04-27 | 国网安徽省电力公司宿州供电公司 | Take voice broadcast's smart electric meter |
| CN205450606U (en) * | 2016-03-30 | 2016-08-10 | 马舜喆 | Smart home system |
| CN108776276A (en) * | 2018-06-29 | 2018-11-09 | 合肥工业大学 | Multiplexing electric abnormality detection method and system |
| JP2019046292A (en) * | 2017-09-05 | 2019-03-22 | 株式会社日立システムズ | Electricity usage monitoring system and electricity usage monitoring method |
| CN110288819A (en) * | 2019-07-31 | 2019-09-27 | 安徽匠桥电子信息有限公司 | A kind of intelligent electric meter system based on Zigbee network |
| CN110555972A (en) * | 2019-06-06 | 2019-12-10 | 国网浙江省电力有限公司 | Household appliance use frequency optimization method based on mass data acquired by intelligent socket |
| KR102060301B1 (en) * | 2019-04-19 | 2020-02-11 | 한국전력공사 | Apparatus and method for analysing living pattern based on power data |
| CN112039664A (en) * | 2020-08-31 | 2020-12-04 | 宁夏隆基宁光仪表股份有限公司 | Data communication method and system suitable for intelligent electric meter |
| CN112034249A (en) * | 2020-08-31 | 2020-12-04 | 宁夏隆基宁光仪表股份有限公司 | Intelligent ammeter with privacy protection function and ammeter data display method |
| CN112396087A (en) * | 2020-09-28 | 2021-02-23 | 国网浙江省电力有限公司杭州供电公司 | Smart electric meter based method and device for analyzing electricity consumption data of elderly people living alone |
| CN112489367A (en) * | 2020-11-13 | 2021-03-12 | 北京软通智慧城市科技有限公司 | Method, device, equipment and storage medium for monitoring solitary old people |
| CN112505402A (en) * | 2020-11-10 | 2021-03-16 | 杭州凯达电力建设有限公司自动化运维分公司 | Electric energy monitoring system for solitary old people based on database prediction |
| CN112750276A (en) * | 2020-12-29 | 2021-05-04 | 杭州拓深科技有限公司 | Method and system for nursing old people living alone based on electric equipment identification |
| CN213149924U (en) * | 2020-10-19 | 2021-05-07 | 江苏工联电力科技有限公司 | Abnormal electricity utilization early warning and alarming system based on Internet of things |
| CN112906790A (en) * | 2021-02-20 | 2021-06-04 | 国网江苏省电力有限公司营销服务中心 | Method and system for identifying solitary old people based on electricity consumption data |
| CN113109612A (en) * | 2021-03-16 | 2021-07-13 | 深圳市北电仪表有限公司 | Intelligent alarm socket based on user behaviors and implementation method |
-
2021
- 2021-08-02 CN CN202110882555.3A patent/CN113447711A/en active Pending
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06243382A (en) * | 1993-02-19 | 1994-09-02 | Fujitsu Ltd | Safety meter inspection system |
| CN1752720A (en) * | 2004-09-23 | 2006-03-29 | 浙江工业大学 | Old solitary people safety protection device based on life supply line |
| CN2729807Y (en) * | 2004-09-29 | 2005-09-28 | 浙江工业大学 | Security protection device for solitary old man or woman |
| JP2007183890A (en) * | 2006-01-10 | 2007-07-19 | Chugoku Electric Power Co Inc:The | Living condition monitoring system, apparatus, method, and program |
| CN202003480U (en) * | 2011-01-07 | 2011-10-05 | 叶小艳 | Nursing system based on water meter, electricity meter and gas meter |
| CN203689650U (en) * | 2014-01-21 | 2014-07-02 | 北京城市系统工程研究中心 | Daily electricity consumption model collection device and daily electricity consumption model acquisition system |
| CN105004896A (en) * | 2015-07-17 | 2015-10-28 | 广东浩迪创新科技有限公司 | Electric meter system with period real-time power consumption data monitoring function |
| CN205193130U (en) * | 2015-12-02 | 2016-04-27 | 国网安徽省电力公司宿州供电公司 | Take voice broadcast's smart electric meter |
| CN205450606U (en) * | 2016-03-30 | 2016-08-10 | 马舜喆 | Smart home system |
| JP2019046292A (en) * | 2017-09-05 | 2019-03-22 | 株式会社日立システムズ | Electricity usage monitoring system and electricity usage monitoring method |
| CN108776276A (en) * | 2018-06-29 | 2018-11-09 | 合肥工业大学 | Multiplexing electric abnormality detection method and system |
| KR102060301B1 (en) * | 2019-04-19 | 2020-02-11 | 한국전력공사 | Apparatus and method for analysing living pattern based on power data |
| CN110555972A (en) * | 2019-06-06 | 2019-12-10 | 国网浙江省电力有限公司 | Household appliance use frequency optimization method based on mass data acquired by intelligent socket |
| CN110288819A (en) * | 2019-07-31 | 2019-09-27 | 安徽匠桥电子信息有限公司 | A kind of intelligent electric meter system based on Zigbee network |
| CN112039664A (en) * | 2020-08-31 | 2020-12-04 | 宁夏隆基宁光仪表股份有限公司 | Data communication method and system suitable for intelligent electric meter |
| CN112034249A (en) * | 2020-08-31 | 2020-12-04 | 宁夏隆基宁光仪表股份有限公司 | Intelligent ammeter with privacy protection function and ammeter data display method |
| CN112396087A (en) * | 2020-09-28 | 2021-02-23 | 国网浙江省电力有限公司杭州供电公司 | Smart electric meter based method and device for analyzing electricity consumption data of elderly people living alone |
| CN213149924U (en) * | 2020-10-19 | 2021-05-07 | 江苏工联电力科技有限公司 | Abnormal electricity utilization early warning and alarming system based on Internet of things |
| CN112505402A (en) * | 2020-11-10 | 2021-03-16 | 杭州凯达电力建设有限公司自动化运维分公司 | Electric energy monitoring system for solitary old people based on database prediction |
| CN112489367A (en) * | 2020-11-13 | 2021-03-12 | 北京软通智慧城市科技有限公司 | Method, device, equipment and storage medium for monitoring solitary old people |
| CN112750276A (en) * | 2020-12-29 | 2021-05-04 | 杭州拓深科技有限公司 | Method and system for nursing old people living alone based on electric equipment identification |
| CN112906790A (en) * | 2021-02-20 | 2021-06-04 | 国网江苏省电力有限公司营销服务中心 | Method and system for identifying solitary old people based on electricity consumption data |
| CN113109612A (en) * | 2021-03-16 | 2021-07-13 | 深圳市北电仪表有限公司 | Intelligent alarm socket based on user behaviors and implementation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5000980B2 (en) | Life monitoring method and system based on power consumption | |
| US20210288450A1 (en) | Power plug for monitoring appliance performance | |
| CN110415487B (en) | Internet of things-based optimization analysis method for empty nest elderly health monitoring | |
| CN103714658B (en) | Nursing system and method of intelligent bed for the aged | |
| CN103729967B (en) | Old man's Intelligent door nursing system and method | |
| CN109581122A (en) | A kind of detection method that vehicle abnormality wakes up, apparatus and system | |
| CN110555972B (en) | Household appliance use frequency optimization method based on mass data acquired by intelligent socket | |
| CN110645767A (en) | Refrigerator-based fault judging and reminding system | |
| CN102110938A (en) | Full intelligent energy-saving power supply changeover socket | |
| JP5054741B2 (en) | Life situation estimation method and system for residents of electric power consumers, and living situation estimation program | |
| JPWO2015136839A1 (en) | Living behavior estimation device and program | |
| CN102419195A (en) | Household behavior mode monitoring system for old people | |
| CN113109612A (en) | Intelligent alarm socket based on user behaviors and implementation method | |
| JP4172709B2 (en) | Life situation estimation method and system for electric power consumer residents | |
| CN113447711A (en) | Intelligent ammeter with old people electricity utilization abnormity warning function and warning method thereof | |
| CN112491668A (en) | Intelligence house thing networking safety monitoring device | |
| CN112750276A (en) | Method and system for nursing old people living alone based on electric equipment identification | |
| CN111443236A (en) | Non-invasive load identification control system and method | |
| JP5400127B2 (en) | Dangerous state judgment system, dangerous state judgment method, and dangerous state judgment program | |
| WO2017104044A1 (en) | Remote health management device, remote health management method, and remote health management system | |
| CN108983679A (en) | A kind of intelligent remote controlling terminal and system | |
| CN115453426A (en) | Abnormal power utilization automatic detection socket and detection method thereof | |
| US20220397594A1 (en) | Capacitive intelligent workstation detection system | |
| CN112505403A (en) | Power distribution network metering protection system and method | |
| CN109581948B (en) | Environment-friendly equipment monitoring device and environment-friendly equipment monitoring method |
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 |