CN111679593A - Building energy consumption main influence factor analysis system based on computer big data - Google Patents
Building energy consumption main influence factor analysis system based on computer big data Download PDFInfo
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- CN111679593A CN111679593A CN202010422113.6A CN202010422113A CN111679593A CN 111679593 A CN111679593 A CN 111679593A CN 202010422113 A CN202010422113 A CN 202010422113A CN 111679593 A CN111679593 A CN 111679593A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The invention discloses a computer big data-based building energy consumption main influence factor analysis system, which relates to the technical field of building energy consumption and comprises a data acquisition device, a data processing module and a control center processor, wherein the output end of the data acquisition device is connected with the input end of the data processing module through an external lead, the output end of the data processing module is connected with the input end of the control center processor through an external lead, and the control center processor is bidirectionally connected with a cloud database. The system can better find out the machines of main influence factors of the building energy consumption through the numerical value comparison of a plurality of groups of different machines and calculation in a calculation mode, is convenient for operators to operate, can maximize the value of the contribution rate of the device by adjusting the energy consumption output module of the device, reduces the energy consumption of the device, effectively reduces the energy consumption of the machines in the building and enhances the contribution rate of the internal machines.
Description
Technical Field
The invention relates to the technical field of building energy consumption, in particular to a computer big data-based analysis system for main influence factors of building energy consumption.
Background
The energy of China is mainly consumed in industrial production, transportation and building industries, the total amount of building energy consumption of China is increased year by year, the proportion of the total energy consumption is increased to 27.45 percent from 10 percent at the end of seventy years of the last century, and is gradually close to three percent, and the building energy consumption of China is about 33 percent of the total social energy consumption until 2014. With the acceleration of the urbanization process and the improvement of the quality of life of people, the building energy consumption proportion of China finally rises to about 35 percent, and the proportion of the building energy consumption to the total social energy consumption is very large, so that the method becomes a big problem for restricting the economic development of China.
The internal influence factors of the building energy consumption are numerous, more working machines exist in the building, the internal space of the building and the thickness of the internal wall of the building are one of the main influence factors of the building energy consumption, the main influence factors of the building energy consumption in the building are determined, and the determination process is caused because no good main influence factor analysis system exists, so that the analysis and the determination are only carried out from a single numerical value, the simplicity is realized, and the error is easy to occur when the data are determined.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a building energy consumption main influence factor analysis system based on computer big data, and solves the problems that the analysis and confirmation from a single numerical value are too simple and errors are easy to occur in the confirmation of data in the determination process due to the fact that no good main influence factor analysis system exists.
In order to achieve the purpose, the invention is realized by the following technical scheme: a building energy consumption main influence factor analysis system based on computer big data comprises a data acquisition device, a data processing module and a control center processor, wherein the output end of the data acquisition device is electrically connected with the input end of the data processing module through an external lead, the output end of the data processing module is electrically connected with the input end of the control center processor through an external lead, the control center processor is bidirectionally connected with a cloud database through a wireless connection mode, the control center processor is bidirectionally connected with a PC control terminal through an external lead, the output end of the PC control terminal is respectively electrically connected with the input end of a display screen and the input end of a calibration module through external leads, and the output end of the calibration module is electrically connected with the input end of an energy consumption output module through an external lead, and the output end of the energy consumption output module is electrically connected with the input end of the PC control terminal through an external lead.
Preferably, the data acquisition device comprises a temperature acquisition module, a humidity acquisition module, a sound wave transmitting module, a sound wave receiving module, an electric energy consumption calculation module, a time timing module and a thermal imaging module, and the sound wave receiving module and the sound wave transmitting module are connected in a bidirectional mode through external leads.
Preferably, the inside data receiving module, data contrast module, data calculation module and the data sending module of including of control center treater, the output of data receiving module carries out electric connection through the external conductor with the input of data contrast module, carry out both way junction through the external conductor between data contrast module and the data calculation module, the output of data calculation module carries out electric connection through the external conductor with the input of data sending module, the data calculation module is inside to be included data summation unit, average value computational element, eigenvalue extraction element and contribution calculating value unit.
Preferably, the contribution value calculating means adopts a contribution ratio calculating method, and a calculation formula of the contribution value calculating means is such that the contribution ratio is equal to the contribution amount/the input amount × 100%.
Preferably, the data receiving module is in bidirectional connection with the cloud database in a wireless connection mode, and the output end of the data sending module is electrically connected with the input end of the PC control terminal through an external lead.
Preferably, the time timing module is connected with a circuit switch of a work machine in the building through an external lead, and the temperature acquisition module and the humidity acquisition module are electrically connected with an external thermometer and a hygrometer through external leads.
Preferably, the adjusting module comprises a data receiving unit and a data adjusting unit inside, and the output end of the data adjusting unit is electrically connected with the input end of the energy consumption output module through an external wire.
Preferably, the display screen is internally provided with a data receiving unit and a data display unit, and the input end of the data receiving unit is electrically connected with the output end of the PC control terminal through an external lead.
Advantageous effects
The invention provides a computer big data-based system for analyzing main influence factors of building energy consumption. Compared with the prior art, the method has the following beneficial effects:
1. the building energy consumption main influence factor analysis system based on the big data of the computer comprises a temperature acquisition module, a humidity acquisition module, an electric energy consumption calculation module, a time timing module, a thermal imaging module, a sound wave transmitting module and a sound wave receiving module which are arranged in a data acquisition device and used for carrying out thermal imaging on an indoor human body and acquiring the density and the number of the human body, wherein the temperature data, the humidity data, the electric energy consumption data of an internal device of a building and the working time data of the internal device of the building are acquired by the sound wave receiving module, the thermal imaging module can carry out thermal imaging on the indoor human body and transmit the sound wave to the sound wave transmitting module, the sound wave receiving module receives the sound wave transmitted by the sound wave transmitting module to acquire the width of the internal wall of the building, after a plurality of groups of data are acquired, the data are transmitted to the data processing module, the data are processed by the data processing module and, a data receiving module in a control center processor receives data, the data is sent to the interior of a data computing module for computing, the data is summed by a data summing unit, an average value computing unit, a characteristic value extracting unit and a contribution value computing unit to obtain an average value, a characteristic value deviating from the average value greatly is extracted, the contribution rate of the characteristic value is computed, the economic benefit of the value is computed, the characteristic value is sent to the interior of a data comparison module to be sequentially compared with data stored in a cloud database to obtain a value with larger deviation, the value is sent to the interior of a display screen to be convenient for an external operator to check, a working device with larger influence efficiency is found, machines of main influence factors of building energy consumption can be better found by comparing the values of a plurality of groups of different machines and computing in a computing mode, the subsequent operation of the operator is convenient.
2. The building energy consumption main influence factor analysis system based on the computer big data transmits the numerical value with a lower contribution value to the PC control terminal through the data transmission module, the PC control terminal processes the value and then transmits the processed value to the inside of the adjusting module, the adjusting module adjusts the energy consumption output module of the device through numerical value matching, the value of the contribution rate of the device is maximized through adjusting the energy consumption output module of the device, the energy consumption of the device is reduced, the energy consumption of internal machines of a building is effectively reduced, and the contribution rate of the internal machines is enhanced.
Drawings
FIG. 1 is a frame diagram of the working principle of the present invention;
FIG. 2 is a frame diagram of the working principle of the data acquisition device of the present invention;
FIG. 3 is a block diagram of the operating principle of the control center processor of the present invention;
FIG. 4 is a block diagram of the working principle of the data calculation module of the present invention.
In the figure: 1. a data acquisition device; 2. a data processing module; 3. a control center processor; 4. a PC control terminal; 5. a cloud database; 6. an adjusting module; 7. a display screen; 8. an energy consumption output module; 9. a temperature acquisition module; 10. a humidity acquisition module; 11. a sound wave emitting module; 12. an electric energy consumption calculation module; 13. a time timing module; 14. a thermal imaging module; 15. a sound wave receiving module; 16. a data receiving module; 17. a data comparison module; 18. a data calculation module; 19. a data transmission module; 20. a data summing unit; 21. an average value calculation unit; 22. extracting a characteristic value; 23. a contribution value calculating unit.
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.
Referring to fig. 1, the present invention provides a technical solution: a building energy consumption main influence factor analysis system based on computer big data comprises a data acquisition device 1, a data processing module 2 and a control center processor 3, wherein the output end of the data acquisition device 1 is electrically connected with the input end of the data processing module 2 through an external lead, the output end of the data processing module 2 is electrically connected with the input end of the control center processor 3 through an external lead, the control center processor 3 is bidirectionally connected with a cloud database 5 through a wireless connection mode, the control center processor 3 is bidirectionally connected with a PC control terminal 4 through an external lead, the output end of the PC control terminal 4 is respectively electrically connected with the input end of a display screen 7 and the input end of an adjustment module 6 through external leads, the output end of the adjustment module 6 is electrically connected with the input end of an energy consumption output module 8 through an external lead, the output end of the energy consumption output module 8 is electrically connected with the input end of the PC control terminal 4 through an external lead, the adjusting module 6 internally comprises a data receiving unit and a data adjusting unit, the output end of the data adjusting unit is electrically connected with the input end of the energy consumption output module 8 through an external lead, the data adjusting unit can convey adjusted data to the inside of the energy consumption output module 8 to adjust the output power of the energy consumption output module 8 so as to improve the contribution rate of a machine, the data receiving unit and the data display unit are arranged inside the display screen 7, the data display unit is convenient for external personnel to watch the data, the input end of the data receiving unit is electrically connected with the output end of the PC control terminal 4 through an external lead, and the data receiving unit can receive the numerical value output by the PC control terminal 4 and display the numerical value through the data display unit;
referring to fig. 2, the data acquisition device 1 includes a temperature acquisition module 9, a humidity acquisition module 10, a sound wave emission module 11, a sound wave reception module 15, an electric energy consumption calculation module 12, a time timing module 13 and a thermal imaging module 14, the sound wave reception module 15 and the sound wave emission module 11 are connected in a bidirectional manner through external wires, the time timing module 13 is connected with a circuit switch of a working machine inside the building through an external wire, the time timing module 13 can count the time when the working machine switch is turned on and off, the temperature acquisition module 9 and the humidity acquisition module 10 are both electrically connected with an external thermometer and a hygrometer through external wires, the external thermometer can detect the temperature inside the building, the temperature acquisition module 9 can acquire and convert the temperature into data for transmission, and the hygrometer can detect the humidity inside the building, the humidity acquisition module 10 can acquire humidity and convert the humidity into data for transmission;
referring to fig. 3-4, the control center processor 3 includes a data receiving module 16, a data comparing module 17, a data calculating module 18 and a data transmitting module 19, an output end of the data receiving module 16 is electrically connected to an input end of the data comparing module 17 through an external wire, the data receiving module 16 can transmit data to the inside of the data comparing module 17, the data comparing module 17 is bidirectionally connected to the data calculating module 18 through an external wire, data between the data comparing module 17 and the data calculating module 18 can be bidirectionally transported, an output end of the data calculating module 18 is electrically connected to an input end of the data transmitting module 19 through an external wire, the data calculating module 18 transmits calculated data to the inside of the data generating module 19, the data calculating module 18 includes a data summing unit 20, The data processing method comprises an average value calculating unit 21, a characteristic value extracting unit 22 and a contribution value calculating unit 23, wherein the contribution value calculating unit 23 adopts a contribution rate calculating method, the calculation formula of the contribution value calculating unit 23 is that the contribution rate is equal to the contribution amount/input amount multiplied by 100%, the data summing unit 20 can carry out summing processing on numerical values, the average value calculating unit 21 can obtain the average value of the numerical values, the characteristic value extracting unit 22 can extract the characteristic value deviating from the average value, the contribution value calculating unit 23 can calculate the characteristic value, the contribution rate of the characteristic value is calculated, the data receiving module 16 and the cloud database 5 are in bidirectional connection in a wireless connection mode, the data receiving module 16 can receive data in the cloud database 5, the output end of the data sending module 19 is electrically connected with the input end of the PC control terminal 4 through an external lead, the data transmission module 19 can control the data generation inside the PC control terminal 4.
When in use, the temperature acquisition module 9, the humidity acquisition module 10, the electric energy consumption calculation module 12, the time timing module 13, the thermal imaging module 14, the sound wave emitting module 11 and the sound wave receiving module 15 in the data acquisition device 1 are used for carrying out thermal imaging on indoor human bodies and acquiring the density and number of the human bodies, the sound wave emitting module 11 emits sound waves, the sound wave receiving module 15 receives the sound waves emitted by the sound wave emitting module 11 to acquire the width of the wall body in the building, after the acquisition of a plurality of groups of data is finished, the data is transmitted to the data processing module 2, the data processing module 2 processes the data and transmits the processed data to the control center processor 3, a data receiving module 16 in the control center processor 3 receives data, the data is sent to the interior of a data calculating module 18 for calculation processing, a data summing unit 20, an average value calculating unit 21, a characteristic value extracting unit 22 and a contribution value calculating unit 23 are used for summing the data to obtain an average value, a characteristic value deviating from the average value greatly is extracted, the contribution rate of the characteristic value is calculated to calculate the economic benefit of the value, the characteristic value is sent to the interior of a data comparing module 17 and is sequentially compared with the data stored in the interior of the cloud database 5 to obtain a value with larger deviation, the value is sent to the interior of a display screen 7, an external operator can conveniently check the value to find out a working device with larger influence efficiency, the machines which are main influence factors of building energy consumption can be better found out through the numerical comparison of a plurality of groups of different machines and the calculation mode, the device is convenient for an operator to perform subsequent operation, the data sending module 19 sends the numerical value with a lower contribution value to the PC control terminal 4, the PC control terminal 4 processes the value and then transmits the processed value to the adjusting module 6, the adjusting module 6 adjusts the energy consumption output module 8 of the device through numerical matching, and the value of the contribution rate of the device is maximized by adjusting the energy consumption output module 8 of the device, so that the energy consumption of the device is reduced, the energy consumption of internal machines of a building is effectively reduced, and the contribution rate of the internal machines is enhanced.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a building energy consumption main influence factor analytic system based on computer big data, includes data acquisition device (1), data processing module (2) and control center treater (3), the output of data acquisition device (1) carries out electric connection through the outside wire with the input of data processing module (2), the output of data processing module (2) carries out electric connection through the outside wire with the input of control center treater (3) its characterized in that: through wireless connection mode both way junction between control center treater (3) and cloud database (5), through outside wire both way junction between control center treater (3) and PC control terminal (4), the output of PC control terminal (4) all carries out electric connection through outside wire with the input of display screen (7) and the input of timing module (6) respectively, the output of timing module (6) and the input of energy consumption output module (8) carry out electric connection through outside wire, the output of energy consumption output module (8) and PC control terminal (4) input carry out electric connection through outside wire.
2. The system for analyzing the main influence factors of the building energy consumption based on the big data of the computer according to claim 1, wherein: the data acquisition device (1) is internally provided with a temperature acquisition module (9), a humidity acquisition module (10), a sound wave transmitting module (11), a sound wave receiving module (15), an electric energy consumption calculation module (12), a time timing module (13) and a thermal imaging module (14), and the sound wave receiving module (15) and the sound wave transmitting module (11) are connected in a bidirectional mode through external leads.
3. The system for analyzing the main influence factors of the building energy consumption based on the big data of the computer according to claim 1, wherein: the control center processor (3) is internally provided with a data receiving module (16), a data comparison module (17), a data calculation module (18) and a data sending module (19), the output end of the data receiving module (16) is electrically connected with the input end of the data comparison module (17) through an external lead, the data comparison module (17) is bidirectionally connected with the data calculation module (18) through an external lead, the output end of the data calculation module (18) is electrically connected with the input end of the data sending module (19) through an external lead, and the data calculation module (18) is internally provided with a data summation unit (20), an average value calculation unit (21), a characteristic value extraction unit (22) and a contribution value calculation unit (23).
4. The system for analyzing the main influence factors of the building energy consumption based on the big data of the computer according to claim 3, wherein: the contribution value calculation means (23) adopts a contribution rate calculation method, and the calculation formula of the contribution value calculation means (23) is such that the contribution rate is equal to the contribution amount/input amount × 100%.
5. The system for analyzing the main influence factors of the building energy consumption based on the big data of the computer according to claim 3, wherein: the data receiving module (16) is in bidirectional connection with the cloud database (5) in a wireless connection mode, and the output end of the data sending module (19) is electrically connected with the input end of the PC control terminal (4) through an external lead.
6. The system for analyzing the main influence factors of the building energy consumption based on the computer big data as claimed in claim 2, wherein: the time timing module (13) is connected with a circuit switch of a work machine in the building through an external lead, and the temperature acquisition module (9) and the humidity acquisition module (10) are electrically connected with an external thermometer and a hygrometer through external leads.
7. The system for analyzing the main influence factors of the building energy consumption based on the big data of the computer according to claim 1, wherein: the adjusting module (6) comprises a data receiving unit and a data adjusting unit inside, and the output end of the data adjusting unit is electrically connected with the input end of the energy consumption output module (8) through an external lead.
8. The system for analyzing the main influence factors of the building energy consumption based on the big data of the computer according to claim 1, wherein: the display screen (7) is internally provided with a data receiving unit and a data display unit, and the input end of the data receiving unit is electrically connected with the output end of the PC control terminal (4) through an external lead.
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