CN113268030A - City comprehensive energy intelligent energy utilization terminal system based on 5G technology - Google Patents
City comprehensive energy intelligent energy utilization terminal system based on 5G technology Download PDFInfo
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- CN113268030A CN113268030A CN202110611084.2A CN202110611084A CN113268030A CN 113268030 A CN113268030 A CN 113268030A CN 202110611084 A CN202110611084 A CN 202110611084A CN 113268030 A CN113268030 A CN 113268030A
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- G05B19/00—Programme-control systems
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Abstract
The invention discloses a smart energy consumption terminal system for urban comprehensive energy based on a 5G technology, which comprises an intelligent energy consumption terminal for urban comprehensive energy, wherein the intelligent energy consumption terminal for urban comprehensive energy is connected with a user home sensor, the user home sensor is used for collecting user environment data, the intelligent energy consumption terminal for urban comprehensive energy is connected with a cloud server through a 5G network, and the 5G network is used for transmitting the user environment data and the energy consumption data; the cloud server predicts reasonable power consumption of the user by using a power consumption early warning method according to historical power consumption data and environmental data of the user, and when the difference between the actual power consumption and the predicted power consumption is large, the actual power consumption and the predicted power consumption are fed back to the power consumption terminal to remind the user that the power consumption is abnormal. The invention can dynamically judge the user energy data according to the actual environment condition of the client, timely find the abnormal change of the client energy, early warn in advance, support the user to check and analyze the energy utilization condition in real time and cultivate good energy utilization habits.
Description
Technical Field
The invention relates to the technical field of urban comprehensive energy utilization terminals, in particular to an urban comprehensive energy intelligent energy utilization terminal system based on a 5G technology.
Background
With the mature development of technologies such as 5G, Internet of things, cloud service and big data, the intelligent technology of the urban regional energy consumption system is rapidly developed in recent years, new product technologies such as smart electric meters and the like appear, and energy supply systems are enriched.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a smart energy-using terminal system for urban comprehensive energy based on a 5G technology, which realizes user interactive operation including expense inquiry, payment, maintenance application and the like; the data acquisition module is used for acquiring data of various sensors; the transmission of the user family environment data and the energy consumption data is realized through a 5G network; the statistics and prediction of energy consumption data are realized through a big data technology; finally, the purposes of assisting a user in monitoring the energy consumption condition, reminding abnormal energy consumption, cultivating good energy consumption habits and realizing regional energy conservation and emission reduction are achieved.
In order to achieve the purpose, the invention adopts the technical scheme that:
a city comprehensive energy intelligent energy using terminal system based on a 5G technology comprises a city comprehensive energy intelligent energy using terminal 1, wherein the city comprehensive energy intelligent energy using terminal 1 is connected with a user home sensor 2, the user home sensor 2 is used for collecting user environment data, the city comprehensive energy intelligent energy using terminal 1 is connected with a cloud server 3 through a 5G network, and the 5G network is used for transmitting the user environment data and energy using data; the cloud server 3 predicts reasonable power consumption of the user by using a power consumption early warning method according to historical power consumption data and environmental data of the user, and when the difference between the actual power consumption and the predicted power consumption is large, the actual power consumption and the predicted power consumption are fed back to the power consumption terminal 1 to remind the user that the power consumption is abnormal.
The intelligent energy consumption terminal 1 for the urban comprehensive energy comprises a central processing unit 11, wherein an internal storage module 12, a data acquisition module 13, a 5G transmission module 14, a touch screen 15 and a power circuit 16 are respectively connected to the central processing unit 11;
the central processing unit 11 is of a type MediaTek breguet 800, and is used for controlling and allocating all modules of the intelligent energy consumption terminal and analyzing energy consumption data of the edge end;
the internal storage module 12 has parameters of ROM64GB and RAM4GB, and is used for storing user information, energy consumption historical data and sensor data;
the data acquisition module 13 is developed based on a HOPERF RFM96 module, is connected with the user home sensor 2 through a Lora protocol and acquires data;
the 5G transmission module 14, the model of which is GM800, performs bidirectional data communication with the cloud server 3.
The user family sensor 2 includes temperature sensor, humidity transducer and air quality sensor, all sets up with the main bedroom region, temperature sensor and humidity transducer adopt temperature and humidity sensor SHTW2, air quality sensor adopts PM fine particle matter sensor SPS 30.
The cloud service 3 comprises a data center 31, a data analysis module 32 and a pushing module 33;
the data center 31 is a data storage service based on HDFS, HBase and OpenTSDB, and is used for storing user energy data, cost data and sensor data;
the data analysis module 32 is a Streaming processing service built based on Spark Streaming, and is used for predicting the electricity utilization condition of the user according to the related data by using an electricity utilization early warning method and comparing the electricity utilization condition with the actual condition;
the pushing module 33 is a message queue built based on a Rabbit MQ and is used for pushing a predicted power consumption comparison result to the urban comprehensive energy intelligent energy consumption terminal 1.
The electricity utilization early warning method of the data analysis module 32 in the cloud service 3 is constructed by a gradient lifting regression tree algorithm, and the model formula of the gradient lifting regression tree is as follows:
wherein R ism，jLeaf nodes representing newly derived regression trees, cm，jRepresenting the predicted output of the jth leaf node of the regression tree.
The invention has the beneficial effects that:
the invention provides an intelligent energy utilization terminal for an energy utilization client, which can dynamically judge user energy utilization data according to the actual environment condition of the client, timely find abnormal change of the client energy utilization, early warn, support the user to check and analyze the energy utilization condition in real time and cultivate good energy utilization habits.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic structural diagram of the intelligent energy-consuming terminal of the present invention.
FIG. 3 is a schematic diagram of an intelligent energy consumption system interface according to the present invention.
Fig. 4 is a schematic structural diagram of a home sensor and a cloud server according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, an intelligent energy utilization terminal 1 for urban comprehensive energy is connected with a user home sensor 2, and is used for collecting user environment data such as temperature, humidity, air quality and the like; the system is connected with a cloud server 3 through a 5G network, and transmits user environment data and energy consumption data; the cloud server 3 predicts reasonable power consumption of the user by using a power consumption early warning method according to historical power consumption data and environmental data of the user, and when the difference between the actual power consumption and the predicted power consumption is large, the actual power consumption and the predicted power consumption are fed back to the power consumption terminal 1 to remind the user that the power consumption is abnormal.
As shown in fig. 2, the intelligent energy consumption terminal 1 for urban integrated energy comprises a central processing unit 11, an internal storage module 12, a data acquisition module 13, a 5G transmission module 14, a touch screen 15 and a power circuit 16. The central processing unit 11 is of a type MediaTek breguet 800, and is used for controlling and allocating all modules of the intelligent energy consumption terminal and analyzing energy consumption data of the edge end; the internal storage module 12 has parameters of ROM64GB and RAM4GB, supports an extended memory 2T, and is used for storing user information, energy consumption historical data and sensor data; the data acquisition module 13 is developed based on a HOPERF RFM96 module, is connected with the user home sensor 2 through a Lora protocol and acquires data; the 5G transmission module 14, the model of which is GM800, performs bidirectional data communication with the cloud server 3.
As shown in fig. 3, the city integrated energy intelligent energy terminal is pre-installed with an intelligent energy terminal system, and based on android system development, a home page displays current time, temperature, humidity, air quality, energy information 31 and a function list 32; the energy utilization information comprises accumulated electric quantity, expense balance and energy consumption trend; the function list comprises functions of fee inquiry and statistics, online payment, energy consumption analysis and abnormal electricity consumption reminding.
As shown in fig. 4, the home sensor 2 includes a temperature sensor 21, a humidity sensor 22, and an air quality sensor 23, which are all disposed in the main bedroom area, the temperature sensor and the humidity sensor employ a temperature and humidity sensor SHTW2, and the air quality sensor employs a PM fine particulate matter sensor SPS 30. The cloud service 3 includes: a data center 31, a data analysis module 32 and a push module 33; the data center 31 is a data storage service based on HDFS, HBase and OpenTSDB, and is used for storing user energy data, cost data and sensor data; the data analysis module 32 is a Streaming processing service built based on Spark Streaming, and is used for predicting the electricity utilization condition of the user according to the related data by using an electricity utilization early warning method and comparing the electricity utilization condition with the actual condition; the pushing module 33 is a message queue built based on a Rabbit MQ and is used for pushing a predicted power consumption comparison result to the urban comprehensive energy intelligent energy consumption terminal 1.
The electricity utilization early warning method of the data analysis module 32 in the cloud service 3 is constructed by a gradient lifting regression tree algorithm, and the model formula of the gradient lifting regression tree is as follows:
wherein R ism，jLeaf nodes representing newly derived regression trees, cm，jRepresenting the predicted output of the jth leaf node of the regression tree.
The invention can provide an intelligent energy utilization terminal for the energy utilization client, dynamically judges the energy utilization data of the user according to the actual environment condition of the client, finds out the abnormal change of the energy utilization of the client in time and warns in advance, supports the user to check and analyze the energy utilization condition in real time, and cultivates good energy utilization habits.
Claims (5)
1. A city comprehensive energy intelligent energy using terminal system based on a 5G technology is characterized by comprising a city comprehensive energy intelligent energy using terminal (1), wherein the city comprehensive energy intelligent energy using terminal (1) is connected with a user home sensor (2), the user home sensor (2) is used for collecting user environment data, the city comprehensive energy intelligent energy using terminal (1) is connected with a cloud server (3) through a 5G network, and the 5G network is used for transmitting the user environment data and energy using data; the cloud server (3) predicts reasonable power consumption of the user by using a power consumption early warning method according to historical power consumption data and environmental data of the user, and feeds back the predicted power consumption to the power consumption terminal (1) to remind the user of abnormal power consumption when the difference between the actual power consumption and the predicted power consumption is large.
2. The intelligent energy consumption terminal system for the urban comprehensive energy based on the 5G technology as claimed in claim 1, wherein the intelligent energy consumption terminal system for the urban comprehensive energy (1) comprises a central processing unit (11), and an internal storage module (12), a data acquisition module (13), a 5G transmission module (14), a touch screen (15) and a power circuit (16) are respectively connected to the central processing unit (11);
the central processing unit (11) is of a MediaTek breguet 800 type and is used for controlling and allocating all modules of the intelligent energy consumption terminal and analyzing the energy consumption data of the edge end;
the internal storage module (12) has parameters of ROM64GB and RAM4GB, and is used for storing user information, energy use historical data and sensor data;
the data acquisition module (13) is developed based on a HOPERF RFM96 module, is connected with the user home sensor (2) through a Lora protocol and acquires data;
the 5G transmission module (14) is GM800 in model and is in bidirectional data communication with the cloud server (3).
3. The intelligent energy utilization terminal system for the cities based on the 5G technology as claimed in claim 1, wherein the home sensors (2) of the users comprise a temperature sensor, a humidity sensor and an air quality sensor, which are all arranged in a master bedroom area, the temperature sensor and the humidity sensor adopt a temperature and humidity sensor SHTW2, and the air quality sensor adopts a PM fine particulate matter sensor SPS 30.
4. The city integrated energy smart energy terminal system based on 5G technology as claimed in claim 1, wherein the cloud service (3) comprises a data center (31), a data analysis module (32) and a push module (33);
the data center (31) is a data storage service based on HDFS, HBase and OpenTSDB and is used for storing user energy data, expense data and sensor data;
the data analysis module (32) is a Streaming processing service built based on Spark Streaming and used for predicting the electricity utilization condition of a user according to related data by using an electricity utilization early warning method and comparing the electricity utilization condition with the actual condition;
the pushing module (33) is a message queue built based on a Rabbit MQ and used for pushing a predicted power utilization condition comparison result to the urban comprehensive energy intelligent energy utilization terminal (1).
5. The intelligent energy consumption terminal system for urban comprehensive energy based on 5G technology as claimed in claim 1, wherein the electricity consumption early warning method of the data analysis module 32 in the cloud service (3) is constructed by a gradient lifting regression tree algorithm, and the model formula of the gradient lifting regression tree is as follows:
wherein R ism,jLeaf nodes representing newly derived regression trees, cm,jRepresenting the predicted output of the jth leaf node of the regression tree.
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