CN109214720B - Economic parameter analysis and feedback system based on household energy consumption - Google Patents
Economic parameter analysis and feedback system based on household energy consumption Download PDFInfo
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Abstract
The invention provides an economic parameter analysis and feedback system based on household energy consumption, which comprises a household energy consumption acquisition module, a household historical energy consumption data storage module, an operation module, an evaluation prediction module and a control module, wherein the household energy consumption acquisition module is used for acquiring household energy consumption; according to the system, the economic consumption mode of the household unit is obtained, the economic consumption trend of the household unit is estimated, and the optimized energy consumption scheme which accords with the energy consumption habit of the household unit is worked out, so that the consumption plan of the household unit for different energy sources and resources is effectively, scientifically and accurately planned, and the consumption effectiveness of the different energy sources and resources is improved.
Description
Technical Field
The invention relates to the technical field of household daily economic consumption mode analysis, in particular to an economic parameter analysis and feedback system based on household energy consumption, which can obtain corresponding economic consumption parameters and modes of a household unit by analyzing daily energy and resource consumption records of the household unit.
Background
With the advance of the urbanization process of China, the living modes and living environments of most people are changed, people generally live in high-rise buildings, and the living of single family in the past is no longer suitable for the requirements of the current social development; moreover, the development of urbanization also makes the daily life of people more convenient, and the special water supply, power supply and gas supply equipment arranged in each set of residence can also obtain corresponding tap water, electric power and natural gas supply when people are out of home. Meanwhile, nowadays, people's life and work increasingly depend on various different energy sources and resources such as tap water, electric power and natural gas, once the supply of tap water, electric power and natural gas is interrupted, people's life and work cannot be maintained continuously, the different energy sources and resources have vital significance to people's life and work formally, people usually do not pay attention to the use speed and the use total amount of tap water, electric power and natural gas in the use process, and the phenomenon that different energy sources and resources such as tap water, electric power and natural gas are wasted in the use process can be caused.
The importance of tap water, electric power and natural gas to human life is mentioned above, so that different energy sources and resources such as tap water, electric power and natural gas occupy a large proportion in daily economic consumption of the household unit, if people do not pay attention to consumption habits and consumption data of tap water, electric power and natural gas on different energy sources and resources, the consumption amount of the energy sources and resources in the household unit can be increased, and therefore the economic consumption of the whole household unit is seriously influenced. In addition, although people usually have consciousness of saving water, electricity and gas, in the actual operation process, people only save energy and resource consumption by simple means, the extensive energy-saving mode cannot accurately distinguish specific family population conditions and energy and resource consumption habits of different family units, and simultaneously cannot work out a set of energy and resource saving and consumption modes which meet the actual conditions of each family unit.
Disclosure of Invention
In the current family residence and life, people can not avoid consumption of different types of energy sources and resources such as tap water, electric power and natural gas, and the like, and the consumption is just the necessity of the family unit life, and the necessity of tap water, electric power and natural gas and the like also occupies a considerable proportion in the daily economic consumption of the family unit. In order to reduce the proportion of such necessities in the daily economic consumption of the household units, people can only save tap water, electric power and natural gas consciously in a rough manner, but the rough manner has no pertinence to different household units, and cannot form a set of scientific energy and resource consumption scheme which accords with the daily energy consumption habits of different household units.
Aiming at the defects in the prior art, the invention provides an economic parameter analysis and feedback system based on household energy consumption, which can acquire historical energy consumption data of different types of energy and resources such as electric power, tap water, natural gas, fuel oil and the like in specific time ranges of different household units, calculate economic parameters and economic consumption modes of the household units according to the historical energy consumption data, and finally obtain an economic consumption trend function and an optimized energy consumption scheme of the household units, thereby effectively improving the scientificity and accuracy of energy and resource consumption saving of the household units.
The invention provides an economic parameter analysis and feedback system based on household energy consumption, which comprises a household energy consumption acquisition module, a household historical energy consumption data storage module, an operation module, an evaluation prediction module and a control module, and is characterized in that:
the household energy consumption acquisition module is used for acquiring different types of energy and resource consumption data in the household units;
the family historical energy consumption data storage module is used for storing historical energy consumption related data from the family energy consumption acquisition module;
the operation module can fit and calculate a corresponding household consumption index function according to a preset mode according to the historical energy consumption related data stored in the household historical energy consumption data storage module;
the evaluation prediction module can calculate an economic consumption trend function of the home unit according to the home consumption index function;
the operation module can work out an optimized energy consumption scheme related to the energy consumption habit of the household units according to the economic consumption trend function, and the control module can adjust and control the working states of the consumption units corresponding to the different types of energy and resources according to the optimized energy consumption scheme;
further, the household energy consumption acquisition module can perform distinguishing identification and recording operation of energy consumption and corresponding energy consumption duration according to consumption units consuming different types of energy and resources in the household units to form historical energy consumption related data; the household energy consumption obtaining module comprises a plurality of energy consumption obtaining sub-modules aiming at the energy and the resource of different types, the plurality of energy consumption obtaining sub-modules can obtain and record the energy consumption of different areas in the household unit, wherein the different areas are specific space areas with different functions in the household unit, the specific space areas comprise at least one of a living room, a bedroom, a kitchen, a bathroom and a balcony, and the plurality of energy consumption obtaining sub-modules can obtain the consumption corresponding to the electric power, the natural gas, the tap water or the fuel oil in the household unit;
further, the household energy consumption obtaining module obtains energy or resource consumption schedules of different consumption units in a distributed manner, wherein the consumption units include at least one of an electric appliance, a faucet and a natural gas pipeline valve, the obtaining of the energy consumption schedule of the electric appliance is realized by arranging an electric quantity consumption monitoring element on a power socket corresponding to the electric appliance or a power interface corresponding to an electric meter, the obtaining of the resource consumption schedule of the faucet is realized by arranging a water flow monitoring element on the faucet, and the obtaining of the resource consumption schedule of the natural gas pipeline valve is realized by arranging a natural gas flow monitoring element on the natural gas pipeline valve;
further, the control module can set a duration of data acquisition performed by the family energy consumption acquisition module, wherein the duration is a whole week, a whole month, a whole quarter or a whole year, the family historical energy consumption data storage module can update or overlay the energy consumption related data, or the family historical energy consumption data storage module can upload the energy consumption related data to different mobile terminals or network cloud terminals;
further, the operation module divides the historical energy consumption related data into cycle units, including dividing the historical energy consumption related data into whole cycles, whole months, whole quarters or whole years according to the acquired time sequence, or the duration of the cycle units is at least one whole cycle;
further, the home consumption index function is obtained according to the energy consumption related data in the periodic unit and the charging modes corresponding to the different types of energy and resources, specifically, the operation module calculates respective consumption amounts of the electric power, the natural gas, the tap water, and the fuel oil in the periodic unit according to respective consumption amounts of the electric power, the natural gas, the tap water, and the fuel oil in the periodic unit and respective charging modes of the electric power, the natural gas, the tap water, and the fuel oil in the periodic unit, and then obtains the home consumption index function according to respective consumption amounts of the electric power, the natural gas, the tap water, and the fuel oil, consumption ratios of the electric power, the natural gas, the tap water, and the fuel oil in the home unit, and respective load states of the electric power, the natural gas, the tap water, and the fuel oil, the calculation process of the family consumption index function is as follows:
setting n as the number of days for selecting the consumption data of the home unit, wherein n is more than or equal to 7, considering that the home consumption has certain periodicity, taking the minimum cycle of one week as a cycle, setting P as the electric power consumption amount of each day of the home unit, Q as the natural gas consumption amount of each day of the home unit, S as the consumption amount of tap water of each day of the home unit, T as the fuel consumption amount of each day of the home unit, and x as the actual consumption number of days in the selected number of days, assuming that the prices of the electric power, the natural gas, the tap water and the fuel oil are kept unchanged in a certain period of time, the consumption index function C (x) of the home unit is as follows:
C(x)＝Px*PI+Qx*QI+Sx*SI+Tx*TI
wherein the content of the first and second substances,
wherein, PI, QI, SI, TI respectively characterize the product result of consumption proportion and load state of electric power, natural gas, running water and fuel, and its computational formula is as follows:
further, the home consumption index function is used for representing an economic consumption mode of the home unit, wherein the economic consumption mode of the home unit is obtained after the home consumption index function is operated through a neural network, and the operation module judges the high and low levels of the economic consumption mode of the home unit through the operation result of the neural network on the home consumption index function;
further, the determination of the high-low level of the economic consumption mode of the home unit is specifically to compare the operation result of the home consumption index function by the neural network in a threshold range, and divide the economic consumption mode of the home unit into a plurality of levels according to the result of the comparison;
further, the evaluation and prediction module performs sample learning on home consumption index functions corresponding to a plurality of periodic units through a neural network, obtains consumption trends of the home units on different types of energy and resources, obtains consumption amount development curves of the home units for the different types of energy and resources, and fits the consumption amount development curves, so as to obtain the economic consumption trend function;
the economic consumption trend function is that Ct is Pt + Qt + St + Tt, t represents the time required by one-time change of the consumption amount, Pt, Qt, St and Tt respectively represent the respective consumption speed trends of electric power, natural gas, tap water and fuel oil, and specifically is
Pt＝trend((P1,P2,P3...Pn),(1,2,3...,n),t)
Qt＝trend((Q1,Q2,Q3...Qn),(1,2,3...,n),t)
St＝trend((S1,S2,S3…Sn),(1,2,3…,n),t)
Tt＝trend((T1,T2,T3...Tn),(1,2,3...,n),t)
Further, the optimized energy consumption scheme is an energy consumption plan for different types of energy and resources at different time periods, the operation module can generate control commands for controlling real-time consumption speeds of energy or resources corresponding to different consumption units according to the energy consumption plan, the control module can adjust respective consumption speeds of electric power, natural gas, tap water or fuel in the consumption units according to the control commands, specifically, if Pt ', Qt', St ', Tt' are electric power, natural gas, tap water and fuel real-time consumption speeds respectively, when Pt, Qt, St, Rt are lower than the real-time consumption speeds, the consumption speeds of Pt ', Qt', St ', Tt' are adjusted to be equal to Pt, Qt, St, Rt, and when Pt, Qt, St, Rt are higher than the real-time consumption speeds, the consumption speeds of Pt ', Qt', St ', Tt' are reduced, these values are made equal to Pt, Qt, St, and Rt.
Compared with the prior art, the economic parameter analysis and feedback system based on the household energy consumption obtains the historical energy consumption data of different household units in a targeted manner, and calculates the corresponding household consumption index functions of the different household units on the basis of the historical energy consumption data, so that the economic consumption trend function for predicting the future energy consumption of the household units is obtained, and the personalized optimal energy consumption scheme aiming at the different household units is worked out, so that the consumption plans of the household units for different energy sources and resources can be planned effectively, scientifically and accurately, and the consumption effectiveness of the different energy sources and resources is improved.
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 hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an economic parameter analysis and feedback system based on household energy consumption according to the present invention;
FIG. 2 is a schematic view showing a construction of a capacity-variable refrigerator according to the present invention;
FIG. 3 is another schematic view of the construction of the capacity-variable refrigerator according to the present invention;
FIG. 4 is a partial structural view of a capacity-variable refrigerator according to the present invention;
fig. 5 is a partial structural view of a capacity-variable refrigerator according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of an economic parameter analysis and feedback system based on household energy consumption according to an embodiment of the present invention. The working principle of the economic parameter analysis and feedback system based on the household energy consumption is as follows: obtaining the consumption data of the household units about the daily energy and resources to obtain the economic consumption mode of the household units, estimating the economic consumption trend of the household units about the daily energy and resources based on the economic consumption mode, and finally making an optimized energy consumption scheme according with the energy consumption habit of the household units. Generally speaking, the economic parameter analysis and feedback system based on the household energy consumption comprises a household energy consumption acquisition module, a household energy consumption data storage module, an operation module, an evaluation prediction module and a control module, wherein the control module is used as a main control unit for controlling the working states of the household energy consumption acquisition module, the household energy consumption data storage module, the operation module and the evaluation prediction module.
Specifically, the household energy consumption acquisition module is used for acquiring different types of energy and resource consumption data in the household units; the household energy consumption acquisition module can perform distinguishing and recording operation of energy consumption and corresponding energy consumption duration according to consumption units consuming different types of energy and resources in the household unit, and transmits the energy consumption and the energy consumption duration obtained by the recording operation to the household historical energy consumption data storage module. The control module can set the duration of the recording operation executed by the household energy consumption acquisition module; wherein the duration is an entire week, an entire month, an entire quarter, or an entire year.
In a home, consumption types or main consumption types of energy or resources corresponding to different living functional areas are different, and for example, consumption amounts of electricity, tap water, gas or the like required by different functional areas of a kitchen, a toilet, a living room or a bedroom are different. In order to further subdivide the energy consumption condition of the household unit, the household energy consumption obtaining module comprises a plurality of energy consumption obtaining sub-modules aiming at the energy sources and resources of different types, and the plurality of energy consumption obtaining sub-modules can obtain and record the energy consumption of different areas in the household unit; the different areas are specific space areas with different functions in the household unit, the specific space areas comprise at least one of a living room, a bedroom, a kitchen, a bathroom and a balcony, and the energy consumption obtaining sub-modules can obtain consumption corresponding to electric power, natural gas, tap water or fuel oil in the household unit.
In addition, in order to meet the requirements that the layout structure of modern houses is gradually complicated and the housing function is gradually intelligentized, the household energy consumption acquisition module respectively acquires the energy consumption schedules or the resource consumption schedules of different consumption units in a distributed mode; the consumption unit comprises at least one of an electric appliance, a water faucet and a natural gas pipeline valve, the acquisition of the energy consumption progress of the electric appliance is realized by arranging an electric quantity consumption monitoring element on a power socket corresponding to the electric appliance or a power interface corresponding to an electric meter, the acquisition of the resource consumption progress of the water faucet is realized by arranging a water flow monitoring element on the water faucet, and the acquisition of the resource consumption progress of the natural gas pipeline valve is realized by arranging a natural gas flow monitoring element on the natural gas pipeline valve.
The family historical energy consumption data storage module is used for receiving the energy consumption related data recorded by the family energy consumption acquisition module and storing the energy consumption related data within a preset historical time range. The family historical energy consumption data storage module can be, but is not limited to, a traditional solid-state storage unit, a mobile terminal or a network cloud storage unit and the like, and can update or cover the stored energy consumption related data, so that the stability of data storage of the family historical energy consumption data storage unit can be improved, and the normal operation of a subsequent data calculation processing process can be ensured.
The operation module can divide the historical energy consumption related data into cycle units according to the preset family activity cycle according to the historical energy consumption related data stored in the family historical energy consumption data storage module, and then the family consumption index functions in the corresponding cycle units are calculated in a fitting mode according to the corresponding energy consumption related data in each cycle unit; the family consumption index function is used for representing the economic consumption mode of the family unit and transmitting the family consumption index parameter to the evaluation prediction module. Correspondingly, the operation module divides the historical energy consumption related data into periodic units, including dividing the historical energy consumption related data into whole weeks, whole months, whole quarters or whole years according to the acquired time axis; further, the duration of the period unit is at least one whole week.
According to the actual energy and resource consumption state of the current household unit, the household consumption index function is obtained according to the energy consumption related data in the periodic unit and the charging mode corresponding to the different types of energy and resources; specifically, the operation module calculates respective consumption amounts of the electric power, the natural gas, the tap water and the fuel oil according to respective consumption amounts of the electric power, the natural gas, the tap water and the fuel oil in the household unit and respective charging modes of the electric power, the natural gas, the tap water and the fuel oil in the household unit, and then obtains the household consumption index function according to the respective consumption amounts of the electric power, the natural gas, the tap water and the fuel oil, consumption proportions of the electric power, the natural gas, the tap water and the fuel oil in the household unit and respective load states of the electric power, the natural gas, the tap water and the fuel oil.
The calculation process of the family consumption index function is as follows:
setting n as the number of days for selecting the consumption data of the home unit, wherein n is more than or equal to 7, considering that the home consumption has certain periodicity, taking the minimum cycle of one week as a cycle, setting P as the electric power consumption amount of each day of the home unit, Q as the natural gas consumption amount of each day of the home unit, S as the consumption amount of tap water of each day of the home unit, T as the fuel consumption amount of each day of the home unit, and x as the actual consumption number of days in the selected number of days, assuming that the prices of the electric power, the natural gas, the tap water and the fuel oil are kept unchanged in a certain period of time, the consumption index function C (x) of the home unit is as follows:
C(x)＝Px*PI+Qx*QI+Sx*SI+Tx*TI
wherein the content of the first and second substances,
wherein, PI, QI, SI, TI respectively characterize the product result of consumption proportion and load state of electric power, natural gas, running water and fuel, and its computational formula is as follows:
correspondingly, the economic consumption mode of the family unit is obtained by the operation of the family consumption index function through the neural network; the operation module judges the high and low level of the economic consumption mode of the household unit according to the operation result of the household consumption index function by the neural network. Specifically, the determining of the high level and the low level of the economic consumption mode of the home unit is to compare the operation result of the home consumption index function by the neural network in a threshold range, and divide the economic consumption mode of the home unit into several levels according to the result of the comparison. Those skilled in the art can set the consumption amount range corresponding to the economic consumption modes of different levels according to actual needs.
And then, the evaluation and prediction module can calculate the economic consumption trend function of the household unit according to the household consumption index functions corresponding to the plurality of periodic units and feed the economic consumption trend function back to the operation module. Specifically, the evaluation and prediction module performs sample learning on a plurality of home consumption index functions corresponding to the periodic unit through a neural network, obtains consumption trends of the home unit on different types of energy and resources, obtains a consumption amount development curve of the home unit for the different types of energy and resources, and fits the consumption amount development curve, so as to obtain the economic consumption trend function;
the economic consumption trend function is that Ct is Pt + Qt + St + Tt, t represents the time required by one-time change of the consumption amount, Pt, Qt, St and Tt respectively represent the respective consumption speed trends of electric power, natural gas, tap water and fuel oil, and specifically is
Pt＝trend((P1,P2,P3...Pn),(1,2,3...,n),t)
Qt＝trend((Q1,Q2,Q3...Qn),(1,2,3...,n),t)
St＝trend((S1,S2,S3...Sn),(1,2,3...,n),t)
Tt＝trend((T1,T2,T3...Tn),(1,2,3...,n),t)
Further, the optimized energy consumption scheme is an energy consumption plan of different types of energy and resources in different time periods, the operation module can generate a control instruction for controlling the real-time consumption speed of the energy or the resource corresponding to the different consumption units according to the energy consumption plan, and the control module can adjust the respective consumption speeds of electric power, natural gas, tap water or fuel oil in the consumption units according to the control instruction, specifically,
and if Pt ', Qt', St 'and Tt' are respectively the real-time consumption speeds of electric power, natural gas, tap water and fuel oil, when Pt, Qt, St and Rt are lower than the real-time consumption speeds, the consumption speeds of Pt ', Qt', St 'and Tt' are adjusted to be equal to Pt, Qt, St and Rt, and when Pt, Qt, St and Rt are higher than the real-time consumption speeds, the consumption speeds of Pt ', Qt', St 'and Tt' are reduced to be equal to Pt, Qt, St and Rt.
Finally, the operation module specifies an optimized energy consumption scheme related to the energy consumption habit of the household unit according to the economic consumption trend function and generates a corresponding control instruction, and the control module can adjust and control the working states of the consumption units of different types of energy and resources according to the control instruction.
In practical applications, the above-mentioned system for analyzing and feeding back economic parameters based on household energy consumption can adjust and control the working state of the consumption unit, and specifically, in order to save more energy consumption, the system for analyzing and feeding back economic parameters based on household energy consumption can also be used to control the electric appliances in the working process of the electric appliances in the household unit, such as controlling a refrigerator, an air conditioner or an electric water heater. Specifically, the economic parameter analysis and feedback system based on the household energy consumption can be used for intelligently monitoring a refrigerator with adjustable capacity, so that the intelligent monitoring of the electric quantity consumption of the refrigerator with adjustable capacity is realized, and the intelligent monitoring process of the system on the refrigerator with adjustable capacity is as follows: the system monitors the current consumed electric quantity value of the capacity-adjustable refrigerator through the household energy consumption obtaining module, and transmits the consumed electric quantity value to the operation module, the operation module compares the consumed electric quantity value with a preset threshold value, when the consumed electric quantity value exceeds the preset threshold value, the control module sends a control instruction to the capacity-adjustable refrigerator, and the capacity-adjustable refrigerator reduces the capacity of the capacity-adjustable refrigerator according to the control instruction, so that the purpose of reducing the consumed electric quantity value of the capacity-adjustable refrigerator is achieved.
The structure of the capacity-adjustable refrigerator is as follows. According to the figures 2, 3, 4 and 5, the refrigerator with the adjustable capacity comprises a fixed cabin 1 and an extension cabin 2, wherein one side of the fixed cabin 1 is provided with a vertical hinged door 11, the side far away from the vertical hinged door 11 is provided with an opening, the inner side wall of the fixed cabin 1 is provided with a plurality of T-shaped grooves 3 between the vertical hinged door 11 and the opening, a T-shaped block 4 sliding in the T-shaped grooves 3 is embedded in the fixed cabin 2 and fixed in the fixed cabin 1, and the fixed cabin 1 is provided with a limiting block 5 for limiting the maximum actuation range of the extension cabin 2; the outer edge of the ring at one end of the extension cabin 2 close to the vertical hinged door 11 is fixedly connected with a first sealing strip 6, and the first sealing strip 6 is in frictional contact with the inner wall of the fixed cabin 1; meanwhile, a second sealing strip 7 is fixedly arranged on the inner edge of one end ring of the opening of the fixed cabin 1, and the second sealing strip 7 is in friction contact with the outer side wall of the extension cabin 2.
Through the arrangement, the storage space of the refrigerator with the adjustable capacity is a space which is jointly closed by the fixed cabin 1 and the extension cabin 2, and the purpose of freely changing the size of the storage space is achieved under the movement of the extension cabin 2.
Preferably, the first sealing strip 6 and the second sealing strip 7 are arranged in a double-layer mode, and elastic heat insulation cotton 10 is filled in the middle. Under the effect of first sealing strip 6 and second sealing strip 7, carry out heat preservation sealing to the crack between fixed cabin 1 and the extension cabin 2, first sealing strip 6 and second sealing strip 7 can carry out sliding fit in fixed cabin 1 inner wall and extension cabin 2 outer wall surface respectively simultaneously, do not plan the free removal of extension cabin 2.
Preferably, the inner wall of the bottom of the fixed cabin 1 is provided with a graduated scale 8, the extending cabin 2 is provided with a pointer 9 corresponding to the graduated scale 8, and the graduation corresponding to the pointer of the graduated scale 8 represents the volume of the space formed by the fixed cabin 1 and the extending cabin 2.
Preferably, the scale is provided with a positioning pit 12 corresponding to the pointer 9 on each scale position, the pointer 9 is hinged with the extension cabin 2 through a shaft, a handle 14 is connected to the pointer 9 positioned inside the extension cabin 2, and the handle 14 is provided with a spring 13 for ejecting the pointer 9 into the corresponding positioning pit 12.
In practical application, the pointer 9 is lifted by pinching the handle 14, the extension cabin 2 is adjusted to a required position, the handle 14 is released, the pointer 9 is bounced into the positioning pit 12 of the graduated scale 8 under the action of the spring 13, and therefore the positioning and locking effect on the extension cabin 2 is achieved.
As a preferred embodiment, a lead screw is arranged in any one of the T-shaped grooves, the T-shaped block is provided with a hole corresponding to the lead screw, a thread is arranged in the hole, the T-shaped block and the lead screw slide in the T-shaped groove through thread fit, one end of the lead screw is fixed in the T-shaped groove through a bearing seat, and the other end of the lead screw is butted with an output shaft of the stepping motor through a coupler. The stepping motor is fixed in the T-shaped groove through the middle, in addition, travel switches are respectively arranged at positions, close to two ends, of the lead screw, in the T-shaped groove, and the travel switches and the stepping motor are connected with the control module (which can be implemented as a single chip microcomputer or a processor, and can be simply referred to as a refrigerator controller). When the current consumed electric quantity value of the refrigerator with the adjustable capacity exceeds a preset threshold value, the control module sends a control instruction to the stepping motor of the refrigerator with the adjustable capacity, the stepping motor drives the screw rod to rotate through the output shaft after receiving the control instruction, and the T-shaped block matched with the screw rod moves towards the direction of the vertical hinged door in the T-shaped groove through the principle of thread driving, so that the extending cabin is driven to move integrally, and the capacity of the refrigerator is reduced.
As another preferred embodiment, a resistor disc is arranged in any one of the T-shaped grooves, two ends of the resistor disc are connected with the control module, an electric sliding plate is arranged on the T-shaped block corresponding to the T-shaped groove, the electric sliding plate is connected with the control module, the electric sliding plate is contacted with the resistor disc in the sliding process of the T-shaped block, so that the resistance between the two ends of the resistor disc and the electric sliding plate is changed, the resistance is fed back to the control module, and the control module obtains the position data of the extension cabin through the resistance.
It can be seen from the above embodiments that, in the economic parameter analysis and feedback system based on household energy consumption, historical energy consumption data of different types of energy and resources, such as electric power, tap water, natural gas, fuel oil and the like, of different household units in a specific time range are obtained, economic parameters and economic consumption modes of the household units are calculated according to the historical energy consumption data, and finally, an economic consumption trend function and an optimized energy consumption scheme of the household units are obtained, so that scientificity and accuracy of energy and resource consumption saving of the household units are effectively improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides an economic parameter analysis and feedback system based on family's energy consumption, its includes family's energy consumption acquisition module, family's historical energy consumption data storage module, operation module, aassessment prediction module and control module, its characterized in that:
the household energy consumption acquisition module is used for acquiring different types of energy and resource consumption data in the household units;
the family historical energy consumption data storage module is used for storing historical energy consumption related data from the family energy consumption acquisition module;
the operation module can fit and calculate a corresponding household consumption index function according to a preset mode according to the historical energy consumption related data stored in the household historical energy consumption data storage module;
the evaluation prediction module can calculate an economic consumption trend function of the home unit according to the home consumption index function;
the operation module can work out an optimized energy consumption scheme related to the energy consumption habit of the household units according to the economic consumption trend function, and the control module can adjust and control the working states of the consumption units corresponding to the different types of energy and resources according to the optimized energy consumption scheme;
the home consumption index function is obtained according to the energy consumption related data in the period unit and the charging modes corresponding to the different types of energy and resources, specifically, the operation module firstly calculates the consumption of the electric power, the natural gas, the tap water and the fuel oil in the household unit in the period unit, calculating the respective consumption amounts of the electric power, the natural gas, the tap water and the fuel oil in the respective charging modes of the electric power, the natural gas, the tap water and the fuel oil in the period unit, then, the home consumption index function is obtained according to the respective consumption amounts of the electric power, the natural gas, the tap water and the fuel oil, the consumption proportion of the electric power, the natural gas, the tap water and the fuel oil in the home unit and the respective load states of the electric power, the natural gas, the tap water and the fuel oil, and specifically, the calculation process of the home consumption index function is as follows:
setting n as the number of days for selecting the consumption data of the home unit, wherein n is more than or equal to 7, considering that the home consumption has certain periodicity, taking the minimum cycle of one week as a cycle, setting P as the electric power consumption amount of each day of the home unit, Q as the natural gas consumption amount of each day of the home unit, S as the consumption amount of tap water of each day of the home unit, T as the fuel consumption amount of each day of the home unit, and x as the actual consumption number of days in the selected number of days, assuming that the prices of the electric power, the natural gas, the tap water and the fuel oil are kept unchanged in a certain period of time, the consumption index function C (x) of the home unit is as follows:
C(x)＝Px*PI+Qx*QI+Sx*SI+Tx*TI
wherein the content of the first and second substances,
wherein, PI, QI, SI, TI respectively characterize the product result of consumption proportion and load state of electric power, natural gas, running water and fuel, and its computational formula is as follows:
2. the household energy consumption-based economic parameter analysis and feedback system as claimed in claim 1, wherein: the household energy consumption acquisition module can perform distinguishing identification and recording operation of energy consumption and corresponding energy consumption duration according to consumption units consuming different types of energy and resources in the household units to form historical energy consumption related data; the household energy consumption obtaining module comprises a plurality of energy consumption obtaining sub-modules aiming at different types of energy and resources, the energy consumption obtaining sub-modules can obtain and record energy consumption of different areas in a household unit, the different areas are specific space areas with different functions in the household unit, the specific space areas comprise at least one of a living room, a bedroom, a kitchen, a bathroom and a balcony, and the energy consumption obtaining sub-modules can obtain consumption corresponding to electric power, natural gas, tap water or fuel oil in the household unit.
3. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 1, wherein: the household energy consumption acquisition module acquires energy or resource consumption schedules of different consumption units in a distributed mode, wherein each consumption unit comprises at least one of an electric appliance, a water faucet and a natural gas pipeline valve, the acquisition of the energy consumption schedules of the electric appliance is realized by arranging an electric quantity consumption monitoring element on a power socket corresponding to the electric appliance or a power interface corresponding to an electric meter, the acquisition of the resource consumption schedules of the water faucet is realized by arranging a water flow monitoring element on the water faucet, and the acquisition of the resource consumption schedules of the natural gas pipeline valve is realized by arranging a natural gas flow monitoring element on the natural gas pipeline valve.
4. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 1, wherein: the control module can set duration of data acquisition executed by the family energy consumption acquisition module, wherein the duration is whole week, whole month, whole quarter or whole year, the family historical energy consumption data storage module can update or cover the energy consumption related data, or the family historical energy consumption data storage module can upload the energy consumption related data to different mobile terminals or network cloud terminals.
5. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 1, wherein: the operation module divides the historical energy consumption related data into cycle units, wherein the cycle units divide the historical energy consumption related data into whole cycles, whole months, whole quarters or whole years according to the acquired time sequence of the historical energy consumption related data, or the duration of each cycle unit is at least one whole cycle.
6. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 1, wherein: the household consumption index function is used for representing the economic consumption mode of the household unit, wherein the economic consumption mode of the household unit is obtained after the household consumption index function is operated through a neural network, and the operation module judges the high and low level of the economic consumption mode of the household unit through the operation result of the household consumption index function through the neural network.
7. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 6, wherein: the determination of the high level and the low level of the economic consumption mode of the home unit is specifically to compare the operation result of the home consumption index function by the neural network in a threshold range, and divide the economic consumption mode of the home unit into a plurality of levels according to the result of the comparison.
8. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 5, wherein: the evaluation and prediction module performs sample learning on home consumption index functions corresponding to a plurality of the periodic units through a neural network, obtains consumption trends of the home units on different types of energy and resources, obtains consumption amount development curves of the home units for the different types of energy and resources, and fits the consumption amount development curves to obtain the economic consumption trend function;
the economic consumption trend function is that Ct is Pt + Qt + St + Tt, t represents the time required by one-time change of the consumption amount, Pt, Qt, St and Tt respectively represent the respective consumption speed trends of electric power, natural gas, tap water and fuel oil, and specifically is
Pt＝trend((P1，P2，P3...Pn)，(1，2，3...，n)，t)
Qt＝trend((Q1，Q2，Q3...Qn)，(1，2，3...，n)，t)
St＝trend((S1，S2，S3...Sn)，(1，2，3...，n)，t)
Tt＝trend((T1，T2，T3...Tn)，(1，2，3...，n)，t) 。
9. The household energy consumption-based economic parameter analysis and feedback system as claimed in claim 8, wherein: the optimized energy consumption scheme relates to consumption plans of different types of energy and resources at different time periods, the operation module can generate control instructions for controlling real-time consumption speeds of the energy or the resources corresponding to different consumption units according to the consumption plans, the control module can adjust the respective consumption speeds of the electric power, the natural gas, the tap water or the fuel oil in the consumption units according to the control instructions, specifically, the Pt ', Qt', St 'and the Tt' are respectively set as real-time consumption speeds of the electric power, the natural gas, the tap water and the fuel oil, when the Pt, Qt, St and Rt are lower than the real-time consumption speeds, the consumption speeds of the Pt ', Qt', St 'and the Pt, Qt, St and Rt' are equal, and when the Pt, Qt, St and Rt are higher than the real-time consumption speeds, the consumption speeds of the Pt ', Qt', St 'and the Rt' are reduced, these values are made equal to Pt, Qt, St, and Rt.
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