CN115714761A - Internet of things nursing system based on photovoltaic energy storage - Google Patents
Internet of things nursing system based on photovoltaic energy storage Download PDFInfo
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- CN115714761A CN115714761A CN202211355006.1A CN202211355006A CN115714761A CN 115714761 A CN115714761 A CN 115714761A CN 202211355006 A CN202211355006 A CN 202211355006A CN 115714761 A CN115714761 A CN 115714761A
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- 238000004146 energy storage Methods 0.000 title claims abstract description 20
- 230000000474 nursing effect Effects 0.000 title claims abstract description 20
- 238000005516 engineering process Methods 0.000 claims abstract description 13
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 239000001963 growth medium Substances 0.000 claims abstract description 5
- 238000010801 machine learning Methods 0.000 claims abstract description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 5
- 239000000779 smoke Substances 0.000 claims description 5
- 230000005856 abnormality Effects 0.000 claims description 4
- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
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Abstract
The invention discloses an Internet of things nursing system based on photovoltaic energy storage, which realizes remote and close-distance object-to-object interconnection communication through an Internet of things NB-IoT/Zigbee/Wi-Fi technology; the control terminal obtains key information of relevant acquisition equipment, and the terminal is used for nursing, so that the home real scene monitoring and the remote control of the key equipment are realized. Under the abnormal condition, the power, water and gas are cut off in time, and potential safety hazards are eliminated; through image recognition and machine learning, a large amount of data are used as a culture medium, the algorithm is continuously optimized, the identification degree of the potential safety hazard is improved, and effective prejudgment of the potential safety hazard is finally realized.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a photovoltaic energy storage-based Internet of things nursing system.
Background
Solar photovoltaic power generation is representative of new energy power generation. The energy storage of the battery is mainly to charge and discharge by using the oxidation-reduction reaction of the anode and the cathode of the battery. The storage battery energy storage can meet the electric energy requirement of the system during peak load, and the storage battery energy storage can be used for assisting the reactive power compensation device, so that the suppression of voltage fluctuation and flicker is facilitated. The technology of internet of things is to collect, transmit, control and the like information between objects and between people according to information content sensing equipment, and is mainly divided into a sensor technology, an RFID technology, an embedded technology, an intelligent technology and a nanotechnology.
Disclosure of Invention
The photovoltaic energy storage and internet of things technology is adopted, and the energy supply problem of remote monitoring, remote sensing, alarming and early warning of the household environment is solved.
The invention realizes the purpose through the following technical scheme:
an Internet of things nursing system based on photovoltaic energy storage comprises a photovoltaic energy storage system, load equipment and a terminal nursing application;
the photovoltaic energy storage system comprises a solar panel, a solar controller, a DC-AC inverter and a storage battery;
the terminal nursing application comprises a web end and an APP end, and the personal family user realizes the household live-action monitoring and remote control of key equipment through the APP end;
the load equipment is arranged in the corresponding house environment, the corresponding sensor is arranged near the key household appliance equipment, and the load equipment is used for collecting key data and is used as a data base of the system;
the load equipment is connected with the server through the Internet of things and inputs the acquired data; a web end and an APP mobile end of a terminal nursing application are directly connected with a server, management of load equipment is achieved through a program, and frequency setting is collected; the acquired data is subjected to automatic data processing through a prefabricated program, and artificial intelligence performs prejudgment on abnormal conditions; if the abnormality exists, the abnormality is immediately transmitted to the terminal equipment to complete alarm; at the moment, the load terminal alarm/key equipment switch and the APP user side can simultaneously receive alarm information and complete automatic water, power and gas cut-off.
Further, the load device includes: the device comprises data acquisition terminal equipment such as a camera, an inductive sensor, a temperature and humidity sensor, a hydraulic sensor, a smoke sensor and the like.
The solar panel is directly connected with a solar controller, and the solar controller automatically controls the input direction of solar energy; when a load exists in the daytime system, the solar controller directly inputs the collected solar energy to the DC-AC inverter, and the inverter converts the solar energy of 12VDC/24VDC into a load demand voltage of 220VDC/110 VDC; meanwhile, the redundant solar energy is directly input into the storage battery through the solar controller for storage, and the charging is disconnected after the battery is fully charged; when the system has a load at night, the storage battery directly provides the inverter and the load power supply.
The method further comprises the steps that potential safety hazard data are obtained through image identification technology according to image information obtained by the load equipment at regular time, a large amount of collected data are simultaneously used as a machine learning culture medium of a prediction model, and a prediction algorithm is continuously optimized.
The invention has the beneficial effects that:
the Internet of things NB-IoT/Zigbee/Wi-Fi technology is used for realizing long-distance and short-distance object-to-object interconnection communication; the control terminal acquires key information of relevant acquisition equipment, such as inductance, temperature and humidity, hydraulic pressure and smoke sensation data;
the terminal nurse is used, distinguishes web end and APP end, and individual family user passes through the APP end, realizes the monitoring of real scene at home, and remote control key equipment. Under the abnormal condition, the power, water and gas are cut off in time, and potential safety hazards are eliminated;
through image recognition and machine learning, a large amount of data are used as a culture medium, the algorithm is continuously optimized, the identification degree of the potential safety hazard is improved, and effective prejudgment of the potential safety hazard is finally realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the embodiments or the drawings needed to be practical in the prior art description, and obviously, the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It should be apparent that the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present invention.
In any embodiment, as shown in fig. 1, the photovoltaic energy storage based internet of things nursing system of the present invention includes: the method comprises the following steps of (1) monitoring and applying a photovoltaic energy storage system, load equipment and a terminal;
the photovoltaic energy storage system consists of a solar panel, a solar controller, a DC-AC inverter and a storage battery. The solar cell panel can be arranged on a roof, an eave, a balcony or other places with strong sunlight irradiation according to living conditions. The solar panel is directly connected with the solar controller, and the solar controller automatically controls the input direction of solar energy. When a load exists in the daytime system, the solar controller directly inputs the collected solar energy to the DC-AC inverter, and the inverter converts the solar energy of 12VDC/24VDC into a load demand voltage of 220VDC/110 VDC. Meanwhile, the redundant solar energy is directly input into the storage battery through the solar controller to be stored until the battery is fully charged, and then the charging is disconnected. When the system has a load at night, the storage battery directly provides the inverter and the load power supply.
The DC-AC inverter converts the solar energy of 12VDC/24VDC into 220VDC/110VDC required by the equipment and supplies the equipment to load equipment for use, including but not limited to: the device comprises a camera, an inductive sensor, a temperature and humidity sensor, a hydraulic sensor and a smoke alarm; each sensor and the server are linked through NB-IoT/Zigbee/Wi-Fi technology.
The server is linked with a terminal nursing application (a nursing web end and a nursing APP end) through the Internet, so that the remote monitoring and control at any time and any place are realized; the remote thing of key equipment switch in the family is accomplished through private account number to nurse APP.
The load equipment comprises a camera, an inductance sensor, a temperature and humidity sensor, a hydraulic sensor and a smoke sensor; one or more cameras are positioned in the respective housing environment and one or more corresponding sensors are positioned proximate to the key appliance. The load equipment is used for collecting key data and is used as a data base of the system.
The load equipment is connected with the server through an Internet of things technology NB-IoT/Zigbee/Wi-Fi, and the acquired key data is input; the web end and the APP mobile end are directly connected with the server, the management of load equipment is realized through a program, and the frequency is set; the acquired data is subjected to automatic data processing through a prefabricated program, and artificial intelligence performs prejudgment on abnormal conditions; if the abnormity exists, the abnormal state is immediately transmitted to the terminal equipment to complete the alarm. At the moment, the load terminal alarm/key equipment switch and the APP user side can receive alarm information at the same time, automatic water cut-off, power cut-off and gas cut-off are completed, and accidental loss is avoided; acquiring potential safety hazard data by image identification technology according to the image information acquired at regular time; a large amount of collected data can be used as a machine learning culture medium of a prediction model at the same time, a prediction algorithm is continuously optimized, and effective prediction of abnormal conditions is finally achieved.
The solar controller is automatically controlled by a program with a monitoring station and has the functions of overcharge, overdischarge, overcurrent and short circuit of a load, overvoltage, reverse connection of a solar battery, reverse connection of a storage battery, open-circuit protection of the storage battery, reverse charge prevention, lightning protection, temperature compensation, self-detection, interval recovery and light control.
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 appended claims. It should be noted that the various technical features described in the above embodiments can be combined in any suitable manner without contradiction, and the invention is not described in any way for the possible combinations in order to avoid unnecessary repetition. In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as the disclosure of the present invention as long as it does not depart from the spirit of the present invention.
Claims (4)
1. An Internet of things nursing system based on photovoltaic energy storage is characterized by comprising a photovoltaic energy storage system, load equipment and a terminal nursing application;
the photovoltaic energy storage system comprises a solar panel, a solar controller, a DC-AC inverter and a storage battery;
the terminal nursing application comprises a web end and an APP end, and the personal family user realizes the household live-action monitoring and remote control of key equipment through the APP end;
the load equipment is arranged in the corresponding house environment, the corresponding sensor is arranged near the key household appliance equipment, and the load equipment is used for collecting key data and is used as a data base of the system;
the load equipment is connected with the server through the Internet of things and inputs the acquired data; a web end and an APP mobile end of a terminal nursing application are directly connected with a server, management of load equipment is achieved through a program, and frequency setting is collected; the acquired data is subjected to automatic data processing through a prefabricated program, and artificial intelligence performs prejudgment on abnormal conditions; if the abnormality exists, the abnormality is immediately transmitted to the terminal equipment to complete alarm; at the moment, the load terminal alarm/key equipment switch and the APP user side can simultaneously receive alarm information and complete automatic water, power and gas cut-off.
2. The photovoltaic energy storage based internet of things nursing system according to claim 1, wherein the load device comprises: the device comprises data acquisition terminal equipment such as a camera, an inductive sensor, a temperature and humidity sensor, a hydraulic sensor, a smoke sensor and the like.
3. The photovoltaic energy storage based internet of things nursing system as claimed in claim 1, wherein the solar panel is directly connected with the solar controller, and the solar controller automatically controls the input direction of solar energy; when a load exists in the daytime system, the solar controller directly inputs the collected solar energy to the DC-AC inverter, and the inverter converts the solar energy of 12VDC/24VDC into a load demand voltage of 220VDC/110 VDC; meanwhile, the redundant solar energy is directly input into the storage battery through the solar controller for storage, and the charging is disconnected after the battery is fully charged; when the system has a load at night, the storage battery directly provides the inverter and the load power supply.
4. The photovoltaic energy storage based internet of things nursing system as claimed in claim 1, wherein the image information obtained by the load device at regular time is used for obtaining potential safety hazard data through an image recognition technology, and a large amount of collected data is used as a machine learning culture medium of a prediction model at the same time to continuously optimize a prediction algorithm.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211355006.1A CN115714761A (en) | 2022-11-01 | 2022-11-01 | Internet of things nursing system based on photovoltaic energy storage |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211355006.1A CN115714761A (en) | 2022-11-01 | 2022-11-01 | Internet of things nursing system based on photovoltaic energy storage |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117055423A (en) * | 2023-09-12 | 2023-11-14 | 广东天枢新能源科技有限公司 | Household energy storage intelligent control system based on Internet of things |
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| CN106712656A (en) * | 2017-01-13 | 2017-05-24 | 浙江大学 | Photovoltaic energy-supplying household Internet of Things system |
| CN107065812A (en) * | 2017-06-08 | 2017-08-18 | 合肥华盖光伏科技有限公司 | A kind of comprehensive household managing and control system based on photovoltaic generation |
| CN107179700A (en) * | 2017-07-03 | 2017-09-19 | 杭州善居科技有限公司 | A kind of intelligent home control system and method based on Alljoyn and machine learning |
| CN107272511A (en) * | 2017-07-29 | 2017-10-20 | 合肥赛度电子科技有限公司 | A kind of comprehensive household managing and control system based on photovoltaic generation |
| CN114815649A (en) * | 2022-05-19 | 2022-07-29 | 朱东刚 | Intelligent home central control system based on stable performance |
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- 2022-11-01 CN CN202211355006.1A patent/CN115714761A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106712656A (en) * | 2017-01-13 | 2017-05-24 | 浙江大学 | Photovoltaic energy-supplying household Internet of Things system |
| CN107065812A (en) * | 2017-06-08 | 2017-08-18 | 合肥华盖光伏科技有限公司 | A kind of comprehensive household managing and control system based on photovoltaic generation |
| CN107179700A (en) * | 2017-07-03 | 2017-09-19 | 杭州善居科技有限公司 | A kind of intelligent home control system and method based on Alljoyn and machine learning |
| CN107272511A (en) * | 2017-07-29 | 2017-10-20 | 合肥赛度电子科技有限公司 | A kind of comprehensive household managing and control system based on photovoltaic generation |
| CN114815649A (en) * | 2022-05-19 | 2022-07-29 | 朱东刚 | Intelligent home central control system based on stable performance |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117055423A (en) * | 2023-09-12 | 2023-11-14 | 广东天枢新能源科技有限公司 | Household energy storage intelligent control system based on Internet of things |
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