CN114738827B - User habit-based intelligent group control method and system for heating by using electricity - Google Patents
User habit-based intelligent group control method and system for heating by using electricity Download PDFInfo
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- CN114738827B CN114738827B CN202210382396.5A CN202210382396A CN114738827B CN 114738827 B CN114738827 B CN 114738827B CN 202210382396 A CN202210382396 A CN 202210382396A CN 114738827 B CN114738827 B CN 114738827B
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- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000010438 heat treatment Methods 0.000 title claims abstract description 46
- 230000005611 electricity Effects 0.000 title claims abstract description 19
- 238000005485 electric heating Methods 0.000 claims abstract description 49
- 238000004364 calculation method Methods 0.000 claims description 33
- 238000004590 computer program Methods 0.000 claims description 15
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- 238000013500 data storage Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 abstract description 4
- 238000004134 energy conservation Methods 0.000 abstract description 3
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1096—Arrangement or mounting of control or safety devices for electric heating systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2200/00—Heat sources or energy sources
- F24D2200/08—Electric heater
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/04—Sensors
- F24D2220/042—Temperature sensors
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Abstract
The invention provides a user-used electricity heating intelligent group control method and system based on user habits. The scheme includes that expected indoor temperature values of different rooms of a user are collected, the use habit of the user is identified, a set mode is intelligently pushed, and the indoor temperature requirement at the next moment is identified; collecting the instantaneous total electric power of a user and the instantaneous electric power of an electric heater group, identifying the instantaneous electric power of other electric equipment, comparing the instantaneous electric power with a preset total power limit value, and identifying the available instantaneous power at the next moment; the method comprises the steps of collecting actual indoor temperatures of different rooms of a user at the current moment, predicting electric heating requirements of different rooms at the next moment according to indoor temperature requirements of the different rooms at the next moment, and intelligently adjusting electric heaters of all rooms by combining available instantaneous power of an electric heater group. According to the scheme, the intelligent group control of the electric heater is performed by acquiring the temperatures and the instantaneous available electric power between different rooms of the user and comparing the temperatures with the expected temperature value, and the energy conservation, the cost reduction and the carbon reduction are realized on the premise that the user requirements and the power are not exceeded.
Description
Technical Field
The invention relates to the technical field of heating, in particular to a household electricity heating intelligent group control method and system based on user habits.
Background
The electric heating is a high-quality, comfortable and environment-friendly heating mode for converting clean electric energy into heat energy, and has been proved to have incomparable superiority in many other heating modes through long-term practical application, and has been accepted and accepted by more and more users. The household electric heating system mainly performs indoor heating by means of directly converting electric energy into household heat energy.
The main principle of the existing household electric heating system is to regulate and control electric heating equipment to heat by means of a mode of presetting temperature by a user, and in addition, partial peak clipping and valley filling strategies are considered in partial schemes, so that electric heating is performed by balancing supply and demand of electric energy. However, the prior art cannot recognize that the user is used to perform intelligent pushing of the control mode, and cannot perform non-overrun control according to the electric power requirements of different rooms of the user, so that better use experience of the user and non-overrun power of electric equipment cannot be ensured.
Disclosure of Invention
In view of the above problems, the invention provides a user-used electricity heating intelligent group control method and a system based on user habits, which are used for preparing an indoor electric heater group control strategy by acquiring different room heating habits of users, and realizing energy conservation and cost reduction in the heating process and green and low carbon on the premise of ensuring that the user requirements and the instantaneous total power are not exceeded.
According to a first aspect of the embodiment of the invention, an intelligent group control method for heating by user electricity based on user habit is provided.
In one or more embodiments, preferably, the intelligent group control method for heating by user based on user habit includes:
acquiring expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode, and identifying the indoor temperature requirements of the next moment of different rooms;
collecting the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identifying the instantaneous electric power of other electric equipment except the electric heater group, comparing the instantaneous electric power with the preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group at the next moment;
the method comprises the steps of collecting actual indoor temperatures of different rooms of a user at the current moment, predicting electric heating requirements of different rooms at the next moment according to indoor temperature requirements of the different rooms at the next moment, intelligently judging starting and stopping and adjusting of electric heaters of each room by combining available instantaneous power of an electric heater group, and sending control instructions to the electric heaters.
In one or more embodiments, preferably, the collecting the expected indoor temperature values of different rooms of the user, identifying a usage habit of the user, intelligently pushing a setting mode, and identifying indoor temperature requirements of the next moment of different rooms specifically includes:
Acquiring expected indoor temperature values of different rooms of a user, and storing the expected indoor temperature values as expected temperature data;
carrying out online processing on the expected temperature data, establishing a corresponding relation table of different time periods of different rooms of a user and the expected temperature data, identifying the use habit of the user, and storing the use habit as first data;
pushing a setting mode conforming to the use habit of a user according to rooms and time periods of which the setting state is to be adjusted by the user, identifying the expected temperature data of different rooms in different time periods at the next moment selected by the user, and storing the expected temperature data as second data;
extracting the temperature, time and room number corresponding to each second data, and calculating expected temperature habits of each first data at different time and different room numbers by using a first calculation formula;
predicting the user behavior of each first data according to the historical expected temperature habit through polynomial fitting or through the combination of an LSTM neural network cooperative algorithm and a rule mining algorithm, generating the expected temperature habit in a future period, and pushing the expected temperature habit to the next time of different rooms of the user; automatically identifying final set expected temperatures of different rooms of a user at the next moment, and generating indoor temperature requirements of the different rooms at the next moment;
The first calculation formula is as follows:
where t "(i, τ) is the desired temperature habit of the user i room at τ, τ is the time value, t ' (i, τ -1) is the set desired temperature of the i room at τ -1, t ' (i, τ -2) is the set desired temperature of the i room at τ -2, and t ' (i, τ -n) is the set desired temperature of the i room at τ -n.
In one or more embodiments, it is preferable to collect the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identify the instantaneous electric power of other electric equipment of the user, compare with the preset total electric power limit value of the user, and identify the available instantaneous power of the electric heater group at the next moment, which specifically includes:
acquiring instantaneous electric power of a user through an intelligent ammeter;
acquiring the preset user total electric power limit value, and comparing the relationship between the user instantaneous electric power and the preset user total electric power limit value;
if the instantaneous electric power of the user is larger, sending out a power limiting operation command, and setting the power set at the next moment of the electric heater group to be 0;
if the preset user total electric power limit value is larger or equal to the preset user total electric power limit value, an available instantaneous power calculation command is sent;
and after receiving the available instantaneous power calculation command, taking the difference value between the instantaneous electric power of the user and the instantaneous electric power of the electric heater group as the instantaneous electric power of other electric equipment of the user, and taking the difference value between the preset total electric power limit value of the user and the instantaneous electric power of other electric equipment of the user as the available instantaneous power of the electric heater group.
In one or more embodiments, it is preferable to collect actual indoor temperatures of different rooms of a user at a current moment, predict, according to indoor temperature requirements of the next moment of the different rooms, electric heating requirements of the different rooms at the next moment, and specifically include:
acquiring actual indoor temperatures of different rooms of a user at the current moment through a sensor;
acquiring final set expected temperatures of different rooms of a user at the next moment, and comparing the actual indoor temperatures of different rooms with the final set expected temperatures at the next moment;
if the actual indoor temperature of the room is higher, sending out a power limiting operation command, and setting the power of the electric heater to be 0 at the next moment;
if the final set expected temperature at the next moment is larger or equal to the final set expected temperature at the next moment, calculating the electric power requirements of different rooms by using a second calculation formula, and taking the electric power requirements as the electric heating requirements of different rooms at the next moment;
the second calculation formula is as follows:
N′(i,τ+1)＝A*(t′(i,τ+1)-t(i,τ))
where N '(i, τ+1) is the electric power demand at time τ+1 of room i, a is the electric power coefficient corresponding to the unit expected temperature difference pair between different rooms, t' (i, τ+1) is the set expected temperature of room i at time τ+1, and t (i, τ) is the actual indoor temperature of room i at time τ.
In one or more embodiments, preferably, in combination with available instantaneous power of the electric heater group, the intelligent judgment of start-stop and adjustment of the electric heaters in each room is performed, and a control instruction is sent to the electric heaters, which specifically includes:
identifying available instantaneous power of the electric heater group, and calculating the set power of each room electric heater by using a third calculation formula according to the electric heating requirements of different rooms at the next moment;
performing power control on all the electric heaters according to the set power of the electric heaters in each room;
the third calculation formula is as follows:
wherein N (i, tau+1) is the electric power set value of the i room tau+1 moment, m is the number of rooms, and N (tau+1) is the available instantaneous power of the electric heater group at the tau+1 moment.
In one or more embodiments, preferably, the method further comprises: and carrying out data transmission on the set power of the user electric heater through the ZigBee, the Wifi or the ZigBee+Wifi wireless network.
In one or more embodiments, it is preferable that the method further includes classifying and saving the expected indoor temperature values of different rooms of the user, and specifically includes:
acquiring the indoor temperature expected values of all rooms;
extracting all source positions of the indoor temperature expected values;
adding room number data to the expected indoor temperature value according to the source position to generate first intermediate position data;
Adding an electric heater number to the first intermediate position data according to the source position to generate second intermediate data;
and reading the expected indoor temperature at the next moment, and storing the expected indoor temperature at the next moment and the second intermediate data together as real-time storage data in a memory.
According to a second aspect of the embodiment of the invention, an intelligent group control system for heating by user electricity based on user habit is provided.
In one or more embodiments, preferably, the intelligent group control system for heating by user based on user habit includes:
the demand analysis module is used for collecting expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode and identifying the indoor temperature demands of different rooms at the next moment;
the state analysis module is used for collecting the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identifying the instantaneous electric power of other electric equipment of the user, comparing the instantaneous electric power with a preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group;
the intelligent control module is used for collecting actual indoor temperatures of different rooms of a user at the current moment, predicting electric heating requirements of different rooms at the next moment according to the indoor temperature requirements of the different rooms at the next moment, intelligently judging the start and stop of the electric heaters of each room and adjusting the electric heaters of each room by combining the available instantaneous power of the electric heater group, and sending a control instruction to the electric heaters;
The wireless transmission module is used for transmitting the user instant electric power through a ZigBee, a Wifi or a ZigBee+Wifi wireless network;
and the data storage module is used for classifying and storing the expected indoor temperature values of different rooms of the user.
According to a third aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method according to any of the first aspect of embodiments of the present invention.
According to a fourth aspect of embodiments of the present invention there is provided an electronic device comprising a memory and a processor, the memory being for storing one or more computer program instructions, wherein the one or more computer program instructions are executable by the processor to implement the method of any of the first aspects of embodiments of the present invention.
The technical scheme provided by the embodiment of the invention can comprise the following beneficial effects:
1) According to the embodiment of the invention, the user habit is intelligently identified, the user power consumption is monitored in real time, the electric heater group is automatically and optimally controlled, the overload of a power grid caused by the excessive instantaneous power of the user electric heater is prevented on the premise of meeting the comfort level of the user, and the heating power consumption and the heating cost of the user are saved;
2) According to the embodiment of the invention, the intelligent pushing setting mode is realized by acquiring different room heating habits of the user, so that the user electric heating control is more intelligent and convenient.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for intelligent group control of consumer electric heating based on consumer habits in accordance with an embodiment of the present invention.
Fig. 2 is a flowchart of collecting expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a setting mode, and identifying indoor temperature requirements of the next moment of different rooms in a user electricity heating intelligent group control method based on the habit of the user according to an embodiment of the invention.
Fig. 3 is a flowchart of collecting instantaneous total electric power of a user and instantaneous electric power of an electric heater group, identifying instantaneous electric power of other electric equipment of the user, comparing with a preset total electric power limit value, and identifying available instantaneous power of the electric heater group at the next moment in a user-used electric heating intelligent group control method based on user habit according to an embodiment of the invention.
Fig. 4 is a flowchart of acquiring actual indoor temperatures of different rooms of a user at a current moment and predicting electric heating requirements of the different rooms at a next moment according to indoor temperature requirements of the different rooms in the next moment in a user electric heating intelligent group control method based on user habits according to an embodiment of the invention.
Fig. 5 is a flowchart of a method for controlling a group of intelligent group control of heating by user electricity based on user habit, which combines the available instantaneous power of the electric heater group, intelligently judges the start and stop and adjustment of the electric heaters in each room, and sends control instructions to the electric heaters according to an embodiment of the invention.
Fig. 6 is a flow chart of classifying and storing expected indoor temperatures of different rooms of a user according to a user habit-based intelligent group control method for heating of the user according to an embodiment of the present invention.
Fig. 7 is a block diagram of a consumer electric heating intelligent group control system based on consumer habits in accordance with an embodiment of the present invention.
Fig. 8 is a block diagram of an electronic device in one embodiment of the invention.
Detailed Description
In some of the flows described in the specification and claims of the present invention and in the foregoing figures, a plurality of operations occurring in a particular order are included, but it should be understood that the operations may be performed out of order or performed in parallel, with the order of operations such as 101, 102, etc., being merely used to distinguish between the various operations, the order of the operations themselves not representing any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The electric heating is a high-quality, comfortable and environment-friendly heating mode for converting clean electric energy into heat energy, and has been proved to have incomparable superiority in many other heating modes through long-term practical application, and has been accepted and accepted by more and more users. The household electric heating system mainly performs indoor heating by means of directly converting electric energy into household heat energy.
The main principle of the existing household electric heating system is that the electric heating equipment is controlled to heat in a mode of presetting the temperature by a user, and in addition, partial peak clipping and valley filling strategies are considered in partial schemes, so that the electric heating is performed by balancing the supply of electric energy. However, the prior art cannot recognize that the user is used to perform intelligent pushing of the control mode, and cannot perform non-overrun control according to the electric power requirements of different rooms of the user, so that better use experience of the user and non-overrun power of electric equipment cannot be ensured.
The embodiment of the invention provides a user electricity heating intelligent group control method and a system based on user habits. According to the scheme, different room heating habits of users are obtained, an indoor electric heater group control strategy is formulated, and energy conservation and cost reduction in a heating process are realized on the premise that user requirements and instantaneous total power are not exceeded.
According to a first aspect of the embodiment of the invention, an intelligent group control method for heating by user electricity based on user habit is provided.
Fig. 1 is a flow chart of a method for intelligent group control of consumer electric heating based on consumer habits in accordance with an embodiment of the present invention.
In one or more embodiments, preferably, the intelligent group control method for heating by user based on user habit includes:
s101, acquiring expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode, and identifying the indoor temperature requirements of the next moment of different rooms;
s102, collecting the instantaneous total electric power of a user and the instantaneous electric power of an electric heater group, identifying the instantaneous electric power of other electric equipment except the electric heater group, comparing the instantaneous electric power with a preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group at the next moment;
s103, acquiring actual indoor temperatures of different rooms of a user at the current moment, predicting electric heating requirements of different rooms at the next moment according to indoor temperature requirements of the different rooms, intelligently judging starting and stopping and adjusting of electric heaters of each room by combining available instantaneous power of an electric heater group, and sending control instructions to the electric heaters.
In the embodiment of the invention, the collection of the indoor temperatures of different rooms is finished for different areas according to the needs of users, and then the user use habit is automatically established by combining the current control habit of the users for electric heating, so that the comfort level judgment is finished, the prediction according to the use habit is realized, and the intelligent push user setting mode is achieved. The instantaneous total electric power of the user, the instantaneous total electric power limit value and the instantaneous electric power of the electric heater group are identified, the judgment of the available instantaneous power of the electric heater group is completed, the set indoor temperatures of different rooms of the user are identified, the heating requirements of different rooms are analyzed, and finally the power distribution under the electric heater group power limit value is completed according to the requirements.
Fig. 2 is a flowchart of collecting expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a setting mode, and identifying indoor temperature requirements of the next moment of different rooms in a user electricity heating intelligent group control method based on the habit of the user according to an embodiment of the invention.
As shown in fig. 2, the collecting the expected indoor temperature values of different rooms of the user, identifying the usage habit of the user, and intelligently pushing a set mode to identify the indoor temperature requirement of the next moment of different rooms specifically includes:
S201, acquiring expected indoor temperature values of different rooms of a user, and storing the expected indoor temperature values as expected temperature data;
s202, carrying out online processing on the expected temperature data, establishing a corresponding relation table of different time periods of different rooms of a user and the expected temperature data, identifying the use habit of the user, and storing the use habit as first data;
s203, pushing a setting mode conforming to the use habit of a user according to a room and a time period of which the setting state is to be adjusted by the user, identifying the expected temperature data of different rooms in different time periods at the next moment selected by the user, and storing the expected temperature data as second data;
s204, extracting the temperature, time and room number corresponding to each second data, and calculating expected temperature habits of each first data at different time and different room numbers by using a first calculation formula;
s205, predicting the user behavior of each first data according to the historical expected temperature habit through polynomial fitting or through the combination of an LSTM neural network cooperative algorithm and a rule mining algorithm, generating the expected temperature habit in a future period, and pushing the expected temperature habit to the next time of different rooms of the user; automatically identifying final set expected temperatures of different rooms of a user at the next moment, and generating indoor temperature requirements of the different rooms at the next moment;
The first calculation formula is as follows:
where t "(i, τ) is the desired temperature habit of the user i room at τ, τ is the time value, t ' (i, τ -1) is the set desired temperature of the i room at τ -1, t ' (i, τ -2) is the set desired temperature of the i room at τ -2, and t ' (i, τ -n) is the set desired temperature of the i room at τ -n.
According to the embodiment of the invention, through analysis of expected temperature habits of different rooms, further utilizing historical data of users, indoor temperature demand predictions of the different rooms at the next moment are generated, each first data is fitted through a polynomial according to the historical expected temperature habits, or the user behaviors are predicted through combination of an LSTM neural network collaborative algorithm and a rule mining algorithm, and the generated next-moment temperature demand is a basic parameter for carrying out intelligent pushing of a subsequent control mode. In addition, the expected temperature set values of different rooms of the user are identified, and the indoor temperature requirement of the next moment of the different rooms is generated.
Fig. 3 is a flowchart of collecting instantaneous total electric power of a user and instantaneous electric power of an electric heater group, identifying instantaneous electric power of other electric equipment of the user, comparing with a preset total electric power limit value, and identifying available instantaneous power of the electric heater group at the next moment in a user-used electric heating intelligent group control method based on user habit according to an embodiment of the invention.
As shown in fig. 3, collecting the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identifying the instantaneous electric power of other electric equipment of the user, comparing with the preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group at the next moment, wherein the method specifically comprises the following steps:
s301, acquiring instantaneous electric power of a user through an intelligent ammeter;
s302, acquiring the preset user total electric power limit value, and comparing the relationship between the user instantaneous electric power and the preset user total electric power limit value;
s303, if the instantaneous electric power of the user is larger, sending out a power limiting operation command, and setting the power of the electric heater group at the next moment to be 0;
s304, if the preset total electric power limit value of the user is larger or equal to the preset total electric power limit value of the user, an available instantaneous power calculation command is sent;
s305, after receiving the available instantaneous power calculation command, taking the difference value between the instantaneous electric power of the user and the instantaneous electric power of the electric heater group as the instantaneous electric power of other electric equipment of the user, and taking the difference value between the preset total electric power limit value of the user and the instantaneous electric power of other electric equipment of the user as the available instantaneous power of the electric heater group.
In the embodiment of the invention, in order to realize the control of the user on the total electric power of the electric heater group user, the calculation of the available instantaneous power values under different conditions is carried out, so that a data basis is provided for the subsequent control.
Fig. 4 is a flowchart of acquiring actual indoor temperatures of different rooms of a user at a current moment and predicting electric heating requirements of the different rooms at a next moment according to indoor temperature requirements of the different rooms in the next moment in a user electric heating intelligent group control method based on user habits according to an embodiment of the invention.
As shown in fig. 4, collecting actual indoor temperatures of different rooms of a user at a current moment, and predicting different room electric heating requirements at a next moment according to indoor temperature requirements of the different rooms at the next moment specifically includes:
s401, acquiring actual indoor temperatures of different rooms of a user at the current moment through a sensor;
s402, obtaining final set expected temperatures of different rooms of a user at the next moment, and comparing the actual indoor temperatures of the different rooms with the final set expected temperatures at the next moment;
s403, if the actual indoor temperature of the room is higher, sending out a power limiting operation command, and setting the power of the electric heater to be 0 at the next moment;
s404, if the final set expected temperature at the next moment is larger or equal to the final set expected temperature at the next moment, calculating the electric power demands of different rooms by using a second calculation formula, and taking the electric power demands as the electric heating demands of different rooms at the next moment;
The second calculation formula is as follows:
N′(i,τ+1)＝A*(t′(i,τ+1)-t(i,τ))
where N '(i, τ+1) is the electric power demand at time τ+1 of room i, a is the electric power coefficient corresponding to the unit expected temperature difference pair between different rooms, t' (i, τ+1) is the set expected temperature of room i at time τ+1, and t (i, τ) is the actual indoor temperature of room i at time τ.
In the embodiment of the invention, the electric power requirement of each room is further automatically calculated and used as the electric heating requirement of different rooms at the next moment.
Fig. 5 is a flowchart of a method for controlling a group of intelligent group control of heating by user electricity based on user habit, which combines the available instantaneous power of the electric heater group, intelligently judges the start and stop and adjustment of the electric heaters in each room, and sends control instructions to the electric heaters according to an embodiment of the invention.
As shown in fig. 5, in combination with the available instantaneous power of the electric heater group, the intelligent judgment of the start and stop and adjustment of the electric heaters in each room is performed, and a control instruction is sent to the electric heaters, which specifically comprises:
s501, identifying available instantaneous power of an electric heater group, and calculating set power of each room electric heater by using a third calculation formula according to different room electric heating requirements at the next moment;
s502, controlling the power of all the electric heaters according to the set power of the electric heaters in each room;
The third calculation formula is as follows:
wherein N (i, tau+1) is the electric power set value of the i room tau+1 moment, m is the number of rooms, and N (tau+1) is the available instantaneous power of the electric heater group at the tau+1 moment.
The intelligent group control method for the household electric heating based on the user habit further comprises the following steps: and carrying out data transmission on the set power of the user electric heater through the ZigBee, the Wifi or the ZigBee+Wifi wireless network.
Fig. 6 is a flow chart of classifying and storing expected indoor temperatures of different rooms of a user according to a user habit-based intelligent group control method for heating of the user according to an embodiment of the present invention.
As shown in fig. 6, the method for controlling the intelligent group control of the heating by the user based on the habit of the user further includes classifying and storing the expected indoor temperature values of different rooms of the user, and specifically includes:
s601, acquiring expected indoor temperature values of all rooms;
s602, extracting all source positions of the indoor temperature expected values;
s603, adding room number data to the indoor temperature expected value according to the source position, and generating first intermediate position data;
s604, adding an electric heater number to the first intermediate position data according to the source position to generate second intermediate data;
S605, reading the expected indoor temperature at the next moment, and storing the expected indoor temperature at the next moment and the second intermediate data together into real-time storage data to be stored in a memory.
In the embodiment of the invention, the corresponding temperature expected value is set by combining the control information, and the combination storage of different source positions and the control information is realized, so that the intelligent group control system is used for the subsequent temperature control of the intelligent group control of electric heating.
In order to realize the functions, automatic information synchronization is needed for a plurality of electric heating devices, but because a large amount of electric heating devices and other power supply devices acquire large information and transmit large data in real time, time-sharing and sectional self-adaptive information synchronization is performed for the problem, and the flexible setting of control information and temperature expected information is realized in the synchronization mode without occupying excessive resources, so that information congestion of intelligent group control is avoided, and the specific process is as follows:
setting a first preset measurement coefficient and a second preset measurement coefficient;
extracting historical data of the operation frequency of a user, and predicting possible operation times at the current moment to be used as a user regulation index at the current time;
Extracting historical data of system operation frequency, predicting the system operation frequency at the current moment, and taking the historical data as a system regulation index at the current moment;
calculating the system operation degree at the current moment by using a fourth calculation formula;
judging whether a fifth calculation formula is met, and if so, sending out a classification operation instruction;
after receiving the classifying operation instruction, sending an edge processing command to all the electric heating equipment, wherein all the electric heating equipment only upload the changing operation without changing information and transmitting the information;
after receiving the classifying operation instruction, the missing data in all the read information is automatically complemented by the electric heating equipment data at the previous moment, and the group control command is continuously executed;
the fourth calculation formula is as follows:
Z t ＝K 1 Z 1 +K 2 Z 2
wherein ,Zt Z is the system operation degree at the current moment 1 Regulating index for user at present time, Z 2 K is the system regulation index at the current moment 1 For the first preset measure coefficient, K 2 A second preset measurement coefficient;
wherein ,K1 and K2 Is set to 0.5.
The fifth calculation formula is:
Z t /Z t_max >60％
wherein ,Zt_max Is the maximum system operation margin at time t.
According to a second aspect of the embodiment of the invention, an intelligent group control system for heating by user electricity based on user habit is provided.
Fig. 7 is a block diagram of a consumer electric heating intelligent group control system based on consumer habits in accordance with an embodiment of the present invention.
In one or more embodiments, preferably, the intelligent group control system for heating by user based on user habit includes:
the demand analysis module 701 is configured to collect expected indoor temperature values of different rooms of a user, identify a usage habit of the user, intelligently push a setting mode, and identify indoor temperature demands of different rooms at the next moment;
the state analysis module 702 is configured to collect the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identify the instantaneous electric power of other electric equipment of the user, and compare the instantaneous electric power with a preset total electric power limit value of the user to identify the available instantaneous power of the electric heater group;
the intelligent control module 703 is configured to collect actual indoor temperatures of different rooms of a user at a current moment, predict electric heating requirements of different rooms at a next moment according to indoor temperature requirements of the different rooms at the next moment, intelligently judge start and stop and adjustment of electric heaters of each room by combining available instantaneous power of an electric heater group, and send a control instruction to the electric heater;
the wireless transmission module 704 is used for transmitting the user instant electric power through a ZigBee, a Wifi or a ZigBee+Wifi wireless network;
And the data storage module 705 is used for classifying and storing the expected indoor temperature values of different rooms of the user.
According to a third aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method according to any of the first aspect of embodiments of the present invention.
According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device. Fig. 8 is a block diagram of an electronic device in one embodiment of the invention. The electronic device shown in fig. 8 is a general-purpose heating control device including a general-purpose computer hardware configuration including at least a processor 801 and a memory 802. The processor 801 and the memory 802 are connected by a bus 803. The memory 802 is adapted to store instructions or programs executable by the processor 801. The processor 801 may be a stand-alone microprocessor or may be a set of one or more microprocessors. Thus, the processor 801 performs the process of processing data and control of other devices by executing instructions stored in the memory 802, thereby performing the method flow of the embodiment of the present invention as described above. The bus 803 connects the above-described components together, while connecting the above-described components to a display controller 804 and a display device and an input/output (I/O) device 805. Input/output (I/O) devices 805 may be a mouse, keyboard, modem, network interface, touch input device, somatosensory input device, printer, and other devices known in the art. Typically, the input/output devices 805 are connected to the system through input/output (I/O) controllers 806.
The technical scheme provided by the embodiment of the invention can comprise the following beneficial effects:
1) According to the embodiment of the invention, the user habit is intelligently identified, the user power consumption is monitored in real time, the electric heater group is automatically and optimally controlled, the overload of a power grid caused by the excessive instantaneous power of the user electric heater is prevented on the premise of meeting the comfort level of the user, and the heating power consumption and the heating cost of the user are saved;
2) According to the embodiment of the invention, the intelligent pushing setting mode is realized by acquiring different room heating habits of the user, so that the user electric heating control is more intelligent and convenient.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The intelligent group control method for heating by user electricity based on user habit is characterized by comprising the following steps:
acquiring expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode, and identifying the indoor temperature requirements of the next moment of different rooms;
collecting the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identifying the instantaneous electric power of other electric equipment except the electric heater group, comparing the instantaneous electric power with the preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group at the next moment;
acquiring actual indoor temperatures of different rooms of a user at the current moment, predicting electric heating requirements of different rooms at the next moment according to indoor temperature requirements of the different rooms at the next moment, intelligently judging the start and stop of electric heaters of each room by combining the available instantaneous power of an electric heater group, and sending a control instruction to the electric heaters;
the method comprises the steps of collecting expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode, and identifying indoor temperature requirements of the next moment of different rooms, wherein the method specifically comprises the following steps of:
Acquiring expected indoor temperature values of different rooms of a user, and storing the expected indoor temperature values as expected temperature data;
carrying out online processing on the expected temperature data, establishing a corresponding relation table of different time periods of different rooms of a user and the expected temperature data, identifying the use habit of the user, and storing the use habit as first data;
pushing a setting mode conforming to the use habit of a user according to rooms and time periods of which the setting state is to be adjusted by the user, identifying the expected temperature data of different rooms in different time periods at the next moment selected by the user, and storing the expected temperature data as second data;
extracting the temperature, time and room number corresponding to each second data, and calculating expected temperature habits of each first data at different time and different room numbers by using a first calculation formula;
predicting the user behavior of each first data according to the historical expected temperature habit through polynomial fitting or through the combination of an LSTM neural network cooperative algorithm and a rule mining algorithm, generating the expected temperature habit in a future period, and pushing the expected temperature habit to the next time of different rooms of the user; automatically identifying final set expected temperatures of different rooms of a user at the next moment, and generating indoor temperature requirements of the different rooms at the next moment;
The first calculation formula is as follows:
；
wherein ,for user->Room is at->Said desired temperature habit of time of day, +.>For the time value>Is->Room is at->Setting the desired temperature of the moment, +.>Is->Room is at->The desired temperature is set at the moment in time,is->Room is at->Setting a desired temperature at a time;
the method comprises the steps of collecting actual indoor temperatures of different rooms of a user at the current moment, and predicting different room electric heating requirements at the next moment according to indoor temperature requirements of the different rooms at the next moment, and specifically comprises the following steps:
acquiring actual indoor temperatures of different rooms of a user at the current moment through a sensor;
acquiring final set expected temperatures of different rooms of a user at the next moment, and comparing the actual indoor temperatures of different rooms with the final set expected temperatures at the next moment;
if the actual indoor temperature of the room is higher, sending out a power limiting operation command, and setting the power of the electric heater to be 0 at the next moment;
if the final set expected temperature at the next moment is larger or equal to the final set expected temperature at the next moment, calculating the electric power requirements of different rooms by using a second calculation formula, and taking the electric power requirements as the electric heating requirements of different rooms at the next moment;
The second calculation formula is as follows:
；
wherein ,is->Room->Electric power demand at time->For the expected temperature difference of different units between rooms, corresponding electric power coefficient is +.>Is->Room is at->Setting the desired temperature of the moment, +.>Is->Room inActual room temperature at the moment.
2. The intelligent group control method for heating by user electricity based on user habit as claimed in claim 1, wherein the steps of collecting the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identifying the instantaneous electric power of other electric equipment of the user, comparing with the preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group at the next moment comprise:
acquiring instantaneous electric power of a user through an intelligent ammeter;
acquiring the preset user total electric power limit value, and comparing the relationship between the user instantaneous electric power and the preset user total electric power limit value;
if the instantaneous electric power of the user is larger, sending out a power limiting operation command, and setting the power set at the next moment of the electric heater group to be 0;
if the preset user total electric power limit value is larger or equal to the preset user total electric power limit value, an available instantaneous power calculation command is sent;
and after receiving the available instantaneous power calculation command, taking the difference value between the instantaneous electric power of the user and the instantaneous electric power of the electric heater group as the instantaneous electric power of other electric equipment of the user, and taking the difference value between the preset total electric power limit value of the user and the instantaneous electric power of other electric equipment of the user as the available instantaneous power of the electric heater group.
3. The intelligent group control method for heating by user electricity based on user habit as claimed in claim 1, wherein the intelligent judgment of the start-stop and adjustment of the electric heaters in each room is combined with the available instantaneous power of the electric heater group, and the control instruction is sent to the electric heaters, specifically comprising:
identifying available instantaneous power of the electric heater group, and calculating the set power of each room electric heater by using a third calculation formula according to the electric heating requirements of different rooms at the next moment;
performing power control on all the electric heaters according to the set power of the electric heaters in each room;
the third calculation formula is as follows:
；
wherein ,is->Room->Electric power set point at time,/->For the number of rooms>Is->The available instantaneous power of the electric heater group at the moment.
4. The intelligent group control method for heating by user based on user habit as claimed in claim 1, further comprising: and carrying out data transmission on the set power of the user electric heater through the ZigBee, the Wifi or the ZigBee+Wifi wireless network.
5. The intelligent group control method for heating by user electricity based on user habit as claimed in claim 1, further comprising classifying and storing expected indoor temperature values of different rooms of the user, specifically comprising:
Acquiring the indoor temperature expected values of all rooms;
extracting all source positions of the indoor temperature expected values;
adding room number data to the expected indoor temperature value according to the source position to generate first intermediate position data;
adding an electric heater number to the first intermediate position data according to the source position to generate second intermediate data;
and reading the expected indoor temperature at the next moment, and storing the expected indoor temperature at the next moment and the second intermediate data together as real-time storage data in a memory.
6. An intelligent group control system for heating by user electricity based on user habit is characterized in that the system comprises:
the demand analysis module is used for collecting expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode and identifying the indoor temperature demands of different rooms at the next moment;
the state analysis module is used for collecting the instantaneous total electric power of the user and the instantaneous electric power of the electric heater group, identifying the instantaneous electric power of other electric equipment of the user, comparing the instantaneous electric power with a preset total electric power limit value of the user, and identifying the available instantaneous power of the electric heater group;
The intelligent control module is used for collecting actual indoor temperatures of different rooms of a user at the current moment, predicting electric heating requirements of different rooms at the next moment according to the indoor temperature requirements of the different rooms at the next moment, intelligently judging the start and stop of the electric heaters of each room and adjusting the electric heaters of each room by combining the available instantaneous power of the electric heater group, and sending a control instruction to the electric heaters;
the wireless transmission module is used for transmitting the user instant electric power through a ZigBee, a Wifi or a ZigBee+Wifi wireless network;
the data storage module is used for classifying and storing expected indoor temperature values of different rooms of the user;
the method comprises the steps of collecting expected indoor temperature values of different rooms of a user, identifying the use habit of the user, intelligently pushing a set mode, and identifying indoor temperature requirements of the next moment of different rooms, wherein the method specifically comprises the following steps of:
acquiring expected indoor temperature values of different rooms of a user, and storing the expected indoor temperature values as expected temperature data;
carrying out online processing on the expected temperature data, establishing a corresponding relation table of different time periods of different rooms of a user and the expected temperature data, identifying the use habit of the user, and storing the use habit as first data;
Pushing a setting mode conforming to the use habit of a user according to rooms and time periods of which the setting state is to be adjusted by the user, identifying the expected temperature data of different rooms in different time periods at the next moment selected by the user, and storing the expected temperature data as second data;
extracting the temperature, time and room number corresponding to each second data, and calculating expected temperature habits of each first data at different time and different room numbers by using a first calculation formula;
predicting the user behavior of each first data according to the historical expected temperature habit through polynomial fitting or through the combination of an LSTM neural network cooperative algorithm and a rule mining algorithm, generating the expected temperature habit in a future period, and pushing the expected temperature habit to the next time of different rooms of the user; automatically identifying final set expected temperatures of different rooms of a user at the next moment, and generating indoor temperature requirements of the different rooms at the next moment;
the first calculation formula is as follows:
；
wherein ,for user->Room is at->Said desired temperature habit of time of day, +.>For the time value>Is->Room is at->Setting the desired temperature of the moment, +.>Is->Room is at- >The desired temperature is set at the moment in time,is->Room is at->Setting a desired temperature at a time;
the method comprises the steps of collecting actual indoor temperatures of different rooms of a user at the current moment, and predicting different room electric heating requirements at the next moment according to indoor temperature requirements of the different rooms at the next moment, and specifically comprises the following steps:
acquiring actual indoor temperatures of different rooms of a user at the current moment through a sensor;
acquiring final set expected temperatures of different rooms of a user at the next moment, and comparing the actual indoor temperatures of different rooms with the final set expected temperatures at the next moment;
if the actual indoor temperature of the room is higher, sending out a power limiting operation command, and setting the power of the electric heater to be 0 at the next moment;
if the final set expected temperature at the next moment is larger or equal to the final set expected temperature at the next moment, calculating the electric power requirements of different rooms by using a second calculation formula, and taking the electric power requirements as the electric heating requirements of different rooms at the next moment;
the second calculation formula is as follows:
；
wherein ,is->Room->Electric power demand at time->For the expected temperature difference of different units between rooms, corresponding electric power coefficient is +.>Is->Room is at->Setting the desired temperature of the moment, +. >Is->Room inActual room temperature at the moment.
7. A computer readable storage medium, on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any of claims 1-5.
8. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any of claims 1-5.
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