CN116244290A - Intelligent energy consumption analysis system and method - Google Patents
Intelligent energy consumption analysis system and method Download PDFInfo
- Publication number
- CN116244290A CN116244290A CN202310168906.3A CN202310168906A CN116244290A CN 116244290 A CN116244290 A CN 116244290A CN 202310168906 A CN202310168906 A CN 202310168906A CN 116244290 A CN116244290 A CN 116244290A
- Authority
- CN
- China
- Prior art keywords
- energy
- data
- energy consumption
- information
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an intelligent energy consumption analysis system and method, which are used for acquiring energy data and acquiring energy information; inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use; performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption; and inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal. The invention provides an intelligent energy consumption analysis system and method, which are used for acquiring energy information, so that a database can be established for later period by acquiring the energy information, the system pushes a user to inquire, the working efficiency is improved, and the occurrence of the condition that normal analysis cannot be performed due to lack of data foundation in the subsequent use process is reduced.
Description
Technical Field
The invention provides an intelligent energy consumption analysis system and method, and belongs to the technical field of intelligent energy.
Background
With the continuous development of economy and society, the urban process of China is steadily advancing, the living standard of residents is continuously improving, the use amount of energy correspondingly shows an increasing trend, the energy consumption problem exists when the energy is used, the energy utilization efficiency of China is low, and the energy consumption is an important reason for not becoming the GDP boosting effect of China. At present, the energy utilization rate of China is 33%, and the total production value of the national production of 1 dollar is created, and the consumed energy sources such as coal, electricity and the like are 3-4 times of the average world consumption. China is 10.6 times that of Japan, 8.3 times that of Germany and 4.6 times that of America according to the unit national income energy consumption comparison. The water consumption of China ten thousand yuan GDP is 4 times of the global average level. Coal is a main component of Chinese energy, the contribution rate of scientific and technical progress to economic growth of Chinese coal is less than 30%, and the contribution rate reaches 70-80% abroad. The unreasonable setting of Chinese resource tax causes huge waste of energy exploitation. The low efficiency and low combustion of large amounts of coal causes serious environmental pollution. Therefore, the energy consumption needs to be analyzed, the reason for low energy utilization rate is found, and the energy consumption is optimized.
Disclosure of Invention
The invention provides an intelligent energy consumption analysis system and method, which are used for solving the problem that the energy consumption cannot be counted efficiently:
the invention provides an intelligent energy consumption analysis method which is characterized by comprising the following steps of:
s1: collecting energy data to obtain energy information;
s2: inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use;
s3: performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption;
s4: and inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal.
Further, the energy data is collected to obtain energy information, including:
s11: determining energy type data to be collected in a user information input and automatic input mode, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data;
s12: formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface to obtain electric power accumulation data, and the thermodynamic data are obtained through installing intelligent thermodynamic instruments at the inlet and the outlet of a pipeline to obtain thermodynamic accumulation data of the energy source;
S13: and classifying the obtained accumulated data to obtain energy information.
Further, inputting the obtained energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total amount data information before energy use and residual amount data information after use, wherein the method comprises the following steps:
s21, setting different energy analysis modules according to different energy types by the analysis system;
s22: respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data;
s23, carrying out data distinguishing processing on the obtained energy use data according to the total amount before use and the residual amount after use to obtain total amount data before use and residual amount data after use;
further, difference value calculation is carried out on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption; comprising the following steps:
s31, determining the type of energy to be analyzed, and selecting a corresponding energy analysis module;
s32, finding out specific energy sources to be analyzed, the total energy source before use and the energy source allowance after use in the corresponding energy source analysis modules;
S33, calculating the difference between the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption;
and S34, storing the obtained specific energy consumption data into the cloud to obtain cloud data of energy consumption.
Further, pushing the obtained energy consumption to the user through the mobile terminal comprises:
s41, a user sends an application for acquiring energy consumption to an analysis system according to actual requirements, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types;
s42, the analysis system acquires an application request of a user for energy consumption and transmits an application instruction of the user to the analysis system, and the analysis system starts executing the user instruction after receiving the instruction;
s43, the analysis system packs and sends the result of the received application request of the energy consumption required by the user after executing the instruction through cloud data;
and S44, the cloud data are packaged and the energy consumption information is transmitted to the mobile terminal in real time, and a user can check the applied energy consumption through the mobile terminal.
The invention provides an intelligent energy consumption analysis system, which is characterized by comprising:
The energy acquisition module is used for: collecting energy data to obtain energy information;
a usage data acquisition module: inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use;
the energy consumption calculation module: performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption;
and the user acquires an energy consumption module: and inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal.
Further, the energy collection and acquisition module includes:
the energy type determining module: determining energy type data to be collected in a user information input and automatic input mode, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data;
the acquisition strategy making module: formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface to obtain electric power accumulation data, and the thermodynamic data are obtained through installing intelligent thermodynamic instruments at the inlet and the outlet of a pipeline to obtain thermodynamic accumulation data of the energy source;
The energy information obtaining module: and classifying the obtained accumulated data to obtain energy information.
Further, the usage data obtaining module includes:
the analysis system is provided with different energy analysis modules according to different energy types;
the usage data module: respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data;
the data distinguishing and processing module is used for distinguishing and processing the obtained energy use data according to the total amount before use and the residual amount after use to obtain the total amount data before use and the residual amount data after use;
further, the energy consumption calculation module includes:
the energy analysis selection module is used for determining the type of the energy to be analyzed and selecting a corresponding energy analysis module;
the energy data searching module is used for searching specific energy sources to be analyzed, the total energy amount before the use and the energy allowance after the use in the corresponding energy analysis module;
the difference value calculation module is used for carrying out difference value calculation on the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption;
And the cloud storage module is used for storing the obtained specific energy consumption data into the cloud to obtain the cloud data of the energy consumption.
Further, the user obtaining the energy consumption module includes:
the user request module is used for sending an application for acquiring energy consumption to the analysis system according to actual requirements, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types;
the system execution module is used for acquiring an application request of a user for energy consumption by the analysis system, transmitting an application instruction of the user to the analysis system, and starting to execute the user instruction after the analysis system receives the instruction;
the analysis system packs and transmits the result of the received application request of the energy consumption required by the user after executing the instruction through cloud data;
and the user checking module is used for transmitting the energy consumption information which is packaged and transmitted by the cloud data to the mobile terminal in real time, and the user can check the applied energy consumption through the mobile terminal.
The invention has the beneficial effects that: the invention provides an intelligent energy consumption analysis system and method, which are characterized in that energy information is acquired, a database is established for later period, the system pushes users to inquire, the working efficiency is increased, the occurrence of abnormal analysis condition caused by lack of data base in the subsequent use process is reduced, the acquired energy information is input into an analysis system to obtain energy use data, the acquired energy data is subjected to data processing to obtain total data information before energy use and residual data information after use, the users can intuitively feel the use variation of the energy through the data, the users can perform difference calculation on the energy consumption, the specific energy consumption is obtained, the users can more specifically know the own energy consumption, the redundancy of the data is reduced, the independence of the data is increased, and the mobile terminal can intensively control the pushing of the data.
Drawings
FIG. 1 is a diagram of an intelligent energy consumption analysis method according to the present invention;
FIG. 2 is a diagram of an intelligent energy consumption analysis system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The invention provides an embodiment, an intelligent energy consumption analysis method, which comprises the following steps:
s1: collecting energy data to obtain energy information; the energy data includes coal, petroleum, natural gas, biomass energy, electricity, heat and other various resources for obtaining the energy directly or through processing conversion, and the energy information includes the range, the type and the amount of the energy before and after the use.
S2: inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use;
s3: performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption;
S4: the obtained energy consumption is input into a database system, and a user is pushed through a mobile terminal, wherein the mobile terminal comprises, but is not limited to, a mobile phone, a tablet and a computer.
The working principle of the scheme is as follows: firstly, collecting energy data to obtain energy information; the energy data includes coal, petroleum, natural gas, biomass energy, electricity, heat and other various resources for obtaining the energy directly or through processing conversion, and the energy information includes the range, the type and the amount of the energy before and after the use. Then inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use; calculating the difference value of the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption; and finally, inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal.
The working effect of the scheme is as follows: the method has the advantages that the energy data is acquired in the early stage to acquire the energy information, a foundation can be laid for later-stage energy consumption preparation work, the situation that the energy information is lack when the later-stage energy consumption analysis is needed to be carried out on a certain energy source is prevented, the acquired energy information is input into an analysis system, the energy information can be systematically managed, the energy information is conveniently called, the information searching efficiency is improved, the total data information before use and the residual data information after use are obtained through data processing on the acquired energy use data, the specific energy consumption is obtained through difference calculation on the total data information and the residual data information after use, the acquired energy consumption is input into a database system, effective retrieval and access are facilitated for users, the consistency and the integrity of the data information are effectively maintained, the data redundancy is reduced, the requirements on aspects such as data sharing can be met, the users are pushed through mobile terminals, the users can be connected with the energy consumption data anywhere, and the requirements of the users on the energy consumption data are met to the maximum extent.
In one embodiment of the present invention, the collecting the energy data to obtain the energy information includes:
s11: determining energy type data to be collected in a user information input and automatic input mode, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data;
s12: formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface to obtain electric power accumulation data, and the thermodynamic data are obtained through installing intelligent thermodynamic instruments at the inlet and the outlet of a pipeline to obtain thermodynamic accumulation data of the energy source;
s13: the method comprises the steps of classifying the obtained accumulated data to obtain energy information, wherein the accumulated data comprises five types of solid accumulated data, liquid accumulated data, gaseous accumulated data, electric accumulated data and thermal accumulated data; the energy information of the solid state accumulated data comprises, but is not limited to, the types of solid state energy sources such as coal, combustible ice and the like, and mining points, storage points and ignition points of the solid state energy sources; the energy information of the liquid state accumulated data comprises substances containing hydrocarbon or a mixture thereof, mainly diesel oil, gasoline and the like, sources of the diesel oil and the gasoline, used place media and the like; the energy information of the gaseous accumulated data mainly comprises natural gas, biogas, liquefied gas and other types, and the acquisition modes, use occasions and the like of the natural gas, the biogas, the liquefied gas and the like; the energy information of the electric power accumulation data comprises civil electricity and commercial electricity, and the electric power acquisition mode is divided into wind power generation, nuclear power generation, thermal power generation and the like; the energy information of the thermal accumulation data comprises the types of geothermal energy, solar energy and the like, and the occasions where the thermal accumulation data can be obtained. And the total amount of the five energy accumulated data, the residual after use and other information.
The working principle of the scheme is as follows: firstly, determining energy type data to be acquired through communication with a user, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data; formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface, and the thermodynamic data are obtained through installing an intelligent thermodynamic instrument at the inlet and outlet of a pipeline to obtain thermodynamic accumulation data of the energy source; finally, classifying the obtained accumulated data to obtain energy information, wherein the accumulated data comprises five types of solid accumulated data, liquid accumulated data, gaseous accumulated data, electric accumulated data and thermal accumulated data; the energy information of the solid state accumulated data comprises, but is not limited to, the types of solid state energy sources such as coal, combustible ice and the like, and mining points, storage points and ignition points of the solid state energy sources; the energy information of the liquid state accumulated data comprises substances containing hydrocarbon or a mixture thereof, mainly diesel oil, gasoline and the like, sources of the diesel oil and the gasoline, used place media and the like; the energy information of the gaseous accumulated data mainly comprises natural gas, biogas, liquefied gas and other types, and the acquisition modes, use occasions and the like of the natural gas, the biogas, the liquefied gas and the like; the energy information of the electric power accumulation data comprises civil electricity and commercial electricity, and the electric power acquisition mode is divided into wind power generation, nuclear power generation, thermal power generation and the like; the energy information of the thermal accumulation data comprises the types of geothermal energy, solar energy and the like, and the occasions where the thermal accumulation data can be obtained. And the total amount of the five energy accumulated data, the residual after use and other information.
The working effect of the scheme is as follows: the method has the advantages that the data of the energy types to be acquired are determined through the modes of user information input and automatic input, so that most of early preparation time can be saved, a user can accurately input according to the needs of the user, the user can meet the requirements of the user, unnecessary communication is reduced, the working efficiency is greatly improved, the acquisition strategy can be formulated more accurately according to the information input by the user, the use errors of acquisition tools caused by the judgment errors of the energy types are reduced, and the acquisition time is prolonged, wherein the solid state data acquisition obtains the solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface, and the thermodynamic data are obtained through installing an intelligent thermodynamic instrument at the inlet and outlet of a pipeline to obtain thermodynamic accumulation data of the energy source; the energy information is obtained by classifying the obtained accumulated data, so that the subsequent use can be facilitated.
In one embodiment of the present invention, the inputting the obtained energy information into the analysis system to obtain energy usage data, and performing data processing on the obtained energy usage data to obtain total amount data information before energy usage and residual amount data information after usage, includes:
s21, setting different energy analysis modules according to different energy types by the analysis system;
s22: respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data;
s23, carrying out data distinguishing processing on the obtained energy use data according to the total amount before use and the residual amount after use, wherein the total amount before use and the residual amount after use of the solid data are in kilograms or tons; the total amount of the gaseous data before use and the residual amount after use are expressed as cubes; the total amount of the liquid data before use and the residual amount after use are taken as units of liters; the total amount of the power data before use and the allowance kilowatt-hour after use are taken as units; the total amount before the thermal data is used and the residual geothermal gradient after the thermal data is used are taken as units; and obtaining total data before energy use and residual data after use.
The working principle of the scheme is as follows: the analysis system sets different energy analysis modules according to different energy types; respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data; performing data distinguishing processing on the obtained energy use data according to the total amount before use and the residual amount after use, wherein the total amount before use and the residual amount after use of the solid data are in kilograms or tons; the total amount of the gaseous data before use and the residual amount after use are expressed as cubes; the total amount of the liquid data before use and the residual amount after use are taken as units of liters; the total amount of the power data before use and the allowance kilowatt-hour after use are taken as units; the total amount before the thermal data is used and the residual geothermal gradient after the thermal data is used are taken as units; and obtaining total data before energy use and residual data after use.
The working effect of the scheme is as follows: the analysis system is provided with different energy analysis modules according to different energy types, so that the information searching process is more ordered and convenient to operate, and meanwhile, the classified energy information is respectively input into the corresponding energy analysis modules in the analysis system according to different energy type states to obtain energy use data, so that subsequent calling and checking are convenient, and the obtained energy use data are subjected to data distinguishing processing according to the total amount before use and the residual amount after use, wherein the total amount before use and the residual amount after use of the solid data are in kg or ton units; the total amount of the gaseous data before use and the residual amount after use are expressed as cubes; the total amount of the liquid data before use and the residual amount after use are taken as units of liters; the total amount of the power data before use and the allowance kilowatt-hour after use are taken as units; the total amount before the thermal data is used and the residual geothermal gradient after the thermal data is used are taken as units; and obtaining total data before energy use and residual data after use. Thus, the energy data types can be intuitively determined according to different units by limiting the units.
According to one embodiment of the invention, the difference value calculation is carried out on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption; comprising the following steps:
s31, determining the type of energy to be analyzed, and selecting a corresponding energy analysis module;
s32, finding out specific energy sources to be analyzed, the total energy source before use and the energy source allowance after use in the corresponding energy source analysis modules;
s33, calculating the difference between the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption;
and S34, storing the obtained specific energy consumption data into the cloud to obtain cloud data of energy consumption.
The working principle of the scheme is as follows: firstly, determining the type of energy to be analyzed, and selecting a corresponding energy analysis module; then, specific energy to be analyzed, the total energy before use and the energy allowance after use are found out from the corresponding energy analysis modules; then, calculating the difference between the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption; and finally, storing the obtained specific energy consumption data into the cloud to obtain cloud data of energy consumption.
The working effect of the scheme is as follows: the energy analysis module corresponding to the energy type can be more accurately selected by determining the energy type to be analyzed, the condition that time is wasted due to the fact that the energy type is not clear is avoided, the analysis speed is improved, the working efficiency is improved, the specific energy to be analyzed, the total energy before use and the energy allowance after use are found in the corresponding energy analysis module, the approximate energy consumption can be known through the two energy, and then the total energy before use and the energy allowance after use are subjected to difference calculation, so that the specific energy consumption is obtained; the obtained specific energy consumption data is stored in the cloud to obtain the cloud data of the energy consumption, so that the availability and accessibility of the data can be greatly increased, the data is safer, the cost is saved, and the user can use the cloud data more conveniently.
In one embodiment of the present invention, the pushing the obtained energy consumption to the user through the micro-signal public signal or the small program includes:
s41, a user sends an application for acquiring energy consumption to an analysis system according to actual requirements, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types;
S42, the analysis system acquires an application request of a user for energy consumption and transmits an application instruction of the user to the analysis system, and the analysis system starts executing the user instruction after receiving the instruction;
s43, the analysis system packs and sends the result of the received application request of the energy consumption required by the user after executing the instruction through cloud data;
and S44, the cloud data are packaged and the energy consumption information is transmitted to the mobile terminal in real time, and a user can check the applied energy consumption through the mobile terminal.
The working principle of the scheme is as follows: the method comprises the steps that a user firstly sends an application for obtaining energy consumption to an analysis system according to actual requirements, wherein the actual requirements comprise energy types required to be known by the user and energy consumption corresponding to the energy types; then the analysis system obtains the application request of the user for the energy consumption, and transmits the application instruction of the user to the analysis system, and the analysis system starts executing the user instruction after receiving the instruction; then the analysis system packs and sends the result of the received application request of the energy consumption required by the user after the instruction is executed through cloud data; and finally, the cloud data are packaged and the energy consumption information is transmitted to the mobile terminal in real time, and a user can check the applied energy consumption through the mobile terminal.
The working effect of the scheme is as follows: the user sends out the application of obtaining the energy consumption to the analysis system according to actual demand, can be quick and reduce the time and get the energy consumption information, reduced the time of searching of going to inquiring, also make the content of searching more accurate and comprehensive, analysis system obtains user's application, begin to carry out user's instruction, can hundred percent operate according to user's instruction, satisfy user's user demand, then analysis system packs the high in the clouds data of energy consumption and sends, the transmission time of data has been reduced, transmission efficiency has been improved greatly, the latency of user has been reduced, the user looks over the energy consumption of application through mobile terminal, can make the user look over the energy consumption information at arbitrary place of arbitrary time, user's use experience has been improved greatly.
The invention provides an embodiment, an intelligent energy consumption analysis system, which comprises:
the energy acquisition module is used for: collecting energy data to obtain energy information; the energy data includes coal, petroleum, natural gas, biomass energy, electricity, heat and other various resources for obtaining the energy directly or through processing conversion, and the energy information includes the range, the type and the amount of the energy before and after the use.
A usage data acquisition module: inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use;
the energy consumption calculation module: performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption;
and the user acquires an energy consumption module: the obtained energy consumption is input into a database system, and a user is pushed through a mobile terminal, wherein the mobile terminal comprises, but is not limited to, a mobile phone, a tablet and a computer.
The working principle of the scheme is as follows: firstly, collecting energy data through an energy collection and acquisition module to acquire energy information; the energy data includes coal, petroleum, natural gas, biomass energy, electricity, heat and other various resources for obtaining the energy directly or through processing conversion, and the energy information includes the range, the type and the amount of the energy before and after the use. Then entering a used data obtaining module, inputting the obtained energy information into an analysis system to obtain energy use data, and carrying out data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use; performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption; and finally, entering a user acquisition energy consumption module, inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal.
The working effect of the scheme is as follows: the method has the advantages that the energy data is acquired in the early stage to acquire the energy information, a foundation can be laid for later-stage energy consumption preparation work, the situation that the energy information is lack when the later-stage energy consumption analysis is needed to be carried out on a certain energy source is prevented, the acquired energy information is input into an analysis system, the energy information can be systematically managed, the energy information is conveniently called, the information searching efficiency is improved, the total data information before use and the residual data information after use are obtained through data processing on the acquired energy use data, the specific energy consumption is obtained through difference calculation on the total data information and the residual data information after use, the acquired energy consumption is input into a database system, effective retrieval and access are facilitated for users, the consistency and the integrity of the data information are effectively maintained, the data redundancy is reduced, the requirements on aspects such as data sharing can be met, the users are pushed through mobile terminals, the users can be connected with the energy consumption data anywhere, and the requirements of the users on the energy consumption data are met to the maximum extent.
In one embodiment of the present invention, the energy harvesting module includes:
The energy type determining module: determining energy type data to be collected in a user information input and automatic input mode, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data;
the acquisition strategy making module: formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface to obtain electric power accumulation data, and the thermodynamic data are obtained through installing intelligent thermodynamic instruments at the inlet and the outlet of a pipeline to obtain thermodynamic accumulation data of the energy source;
the energy information obtaining module: the method comprises the steps of classifying the obtained accumulated data to obtain energy information, wherein the accumulated data comprises five types of solid accumulated data, liquid accumulated data, gaseous accumulated data, electric accumulated data and thermal accumulated data; the energy information of the solid state accumulated data comprises, but is not limited to, the types of solid state energy sources such as coal, combustible ice and the like, and mining points, storage points and ignition points of the solid state energy sources; the energy information of the liquid state accumulated data comprises substances containing hydrocarbon or a mixture thereof, mainly diesel oil, gasoline and the like, sources of the diesel oil and the gasoline, used place media and the like; the energy information of the gaseous accumulated data mainly comprises natural gas, biogas, liquefied gas and other types, and the acquisition modes, use occasions and the like of the natural gas, the biogas, the liquefied gas and the like; the energy information of the electric power accumulation data comprises civil electricity and commercial electricity, and the electric power acquisition mode is divided into wind power generation, nuclear power generation, thermal power generation and the like; the energy information of the thermal accumulation data comprises the types of geothermal energy, solar energy and the like, and the occasions where the thermal accumulation data can be obtained. And the total amount of the five energy accumulated data, the residual after use and other information.
The working principle of the scheme is as follows: firstly, entering a user to acquire an energy consumption module, and determining energy type data to be acquired through communication with the user, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data; when the collection strategy making module is entered, an collection strategy is made according to the determined collected energy type state, and accumulated data are obtained; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface, and the thermodynamic data are obtained through installing an intelligent thermodynamic instrument at the inlet and outlet of a pipeline to obtain thermodynamic accumulation data of the energy source; finally, classifying the obtained accumulated data through an energy information obtaining module to obtain energy information, wherein the accumulated data comprises five types of solid accumulated data, liquid accumulated data, gaseous accumulated data, electric power accumulated data and thermal accumulated data; the energy information of the solid state accumulated data comprises, but is not limited to, the types of solid state energy sources such as coal, combustible ice and the like, and mining points, storage points and ignition points of the solid state energy sources; the energy information of the liquid state accumulated data comprises substances containing hydrocarbon or a mixture thereof, mainly diesel oil, gasoline and the like, sources of the diesel oil and the gasoline, used place media and the like; the energy information of the gaseous accumulated data mainly comprises natural gas, biogas, liquefied gas and other types, and the acquisition modes, use occasions and the like of the natural gas, the biogas, the liquefied gas and the like; the energy information of the electric power accumulation data comprises civil electricity and commercial electricity, and the electric power acquisition mode is divided into wind power generation, nuclear power generation, thermal power generation and the like; the energy information of the thermal accumulation data comprises the types of geothermal energy, solar energy and the like, and the occasions where the thermal accumulation data can be obtained. And the total amount of the five energy accumulated data, the residual after use and other information.
The working effect of the scheme is as follows: the method has the advantages that the data of the energy types to be acquired are determined through the modes of user information input and automatic input, so that most of early preparation time can be saved, a user can accurately input according to the needs of the user, the user can meet the requirements of the user, unnecessary communication is reduced, the working efficiency is greatly improved, the acquisition strategy can be formulated more accurately according to the information input by the user, the use errors of acquisition tools caused by the judgment errors of the energy types are reduced, and the acquisition time is prolonged, wherein the solid state data acquisition obtains the solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface, and the thermodynamic data are obtained through installing an intelligent thermodynamic instrument at the inlet and outlet of a pipeline to obtain thermodynamic accumulation data of the energy source; the energy information is obtained by classifying the obtained accumulated data, so that the subsequent use can be facilitated.
In one embodiment of the present invention, the usage data obtaining module includes:
the analysis system is provided with different energy analysis modules according to different energy types;
the usage data module: respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data;
the data distinguishing processing module is used for distinguishing the obtained energy use data according to the total amount before use and the residual amount after use to obtain the total amount data before use and the residual amount data after use, wherein the total amount before use and the residual amount after use of the solid data are in kg or ton units; the total amount of the gaseous data before use and the residual amount after use are expressed as cubes; the total amount of the liquid data before use and the residual amount after use are taken as units of liters; the total amount of the power data before use and the allowance kilowatt-hour after use are taken as units; the total amount before the thermal data is used and the residual geothermal gradient after the thermal data is used are taken as units;
the working principle of the scheme is as follows: the analysis system sets different energy analysis modules according to different energy types; respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data; performing data distinguishing processing on the obtained energy use data according to the total amount before use and the residual amount after use, wherein the total amount before use and the residual amount after use of the solid data are in kilograms or tons; the total amount of the gaseous data before use and the residual amount after use are expressed as cubes; the total amount of the liquid data before use and the residual amount after use are taken as units of liters; the total amount of the power data before use and the allowance kilowatt-hour after use are taken as units; the total amount before the thermal data is used and the residual geothermal gradient after the thermal data is used are taken as units; and obtaining total data before energy use and residual data after use.
The working effect of the scheme is as follows: the analysis system is provided with different energy analysis modules according to different energy types, so that the information searching process is more ordered and convenient to operate, and meanwhile, the classified energy information is respectively input into the corresponding energy analysis modules in the analysis system according to different energy type states to obtain energy use data, so that subsequent calling and checking are convenient, and the obtained energy use data are subjected to data distinguishing processing according to the total amount before use and the residual amount after use, wherein the total amount before use and the residual amount after use of the solid data are in kg or ton units; the total amount of the gaseous data before use and the residual amount after use are expressed as cubes; the total amount of the liquid data before use and the residual amount after use are taken as units of liters; the total amount of the power data before use and the allowance kilowatt-hour after use are taken as units; the total amount before the thermal data is used and the residual geothermal gradient after the thermal data is used are taken as units; and obtaining total data before energy use and residual data after use. Thus, the energy data types can be intuitively determined according to different units by limiting the units.
In one embodiment of the present invention, the energy consumption calculation module includes:
The energy analysis selection module is used for determining the type of the energy to be analyzed and selecting a corresponding energy analysis module;
the energy data searching module is used for searching specific energy sources to be analyzed, the total energy amount before the use and the energy allowance after the use in the corresponding energy analysis module;
the difference value calculation module is used for carrying out difference value calculation on the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption;
and the cloud storage module is used for storing the obtained specific energy consumption data into the cloud to obtain the cloud data of the energy consumption.
The working principle of the scheme is as follows: firstly, determining the type of energy to be analyzed through an energy analysis selection module, and selecting a corresponding energy analysis module; then, the energy data searching module is entered, and the specific energy to be analyzed, the total energy before the use and the energy allowance after the use are found out from the corresponding energy analysis module; then, a difference calculation module is entered to calculate the difference between the total energy before the energy is used and the energy allowance after the energy is used, so as to obtain specific energy consumption; and finally, storing the obtained specific energy consumption data into the cloud through a cloud storage module to obtain cloud data of energy consumption.
The working effect of the scheme is as follows: the energy analysis module corresponding to the energy type can be more accurately selected by determining the energy type to be analyzed, the condition that time is wasted due to the fact that the energy type is not clear is avoided, the analysis speed is improved, the working efficiency is improved, the specific energy to be analyzed, the total energy before use and the energy allowance after use are found in the corresponding energy analysis module, the approximate energy consumption can be known through the two energy, and then the total energy before use and the energy allowance after use are subjected to difference calculation, so that the specific energy consumption is obtained; the obtained specific energy consumption data is stored in the cloud to obtain the cloud data of the energy consumption, so that the availability and accessibility of the data can be greatly increased, the data is safer, the cost is saved, and the user can use the cloud data more conveniently.
In one embodiment of the present invention, the user obtaining the energy consumption module includes:
the user request module is used for sending an application for acquiring energy consumption to the analysis system according to actual requirements, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types;
The system execution module is used for acquiring an application request of a user for energy consumption by the analysis system, transmitting an application instruction of the user to the analysis system, and starting to execute the user instruction after the analysis system receives the instruction;
the analysis system packs and transmits the result of the received application request of the energy consumption required by the user after executing the instruction through cloud data;
and the user checking module is used for transmitting the energy consumption information which is packaged and transmitted by the cloud data to the mobile terminal in real time, and the user can check the applied energy consumption through the mobile terminal.
The working principle of the scheme is as follows: firstly, a user sends an application for acquiring energy consumption to an analysis system through a user request module, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types; then the analysis system obtains an application request of a user for energy consumption through the system execution module, and transmits an application instruction of the user to the analysis system, and the analysis system starts to execute the user instruction after receiving the instruction; then the analysis system enters a packaging and transmitting module to package and transmit the result of the received application request of the energy consumption required by the user after the instruction is executed through cloud data; and finally, the cloud data are packaged and the energy consumption information is transmitted to the mobile terminal in real time, so that a user can enter a user checking module to check the applied energy consumption through the mobile terminal.
The working effect of the scheme is as follows: the user sends out the application of obtaining the energy consumption to the analysis system according to actual demand, can be quick and reduce the time and get the energy consumption information, reduced the time of searching of going to inquiring, also make the content of searching more accurate and comprehensive, analysis system obtains user's application, begin to carry out user's instruction, can hundred percent operate according to user's instruction, satisfy user's user demand, then analysis system packs the high in the clouds data of energy consumption and sends, the transmission time of data has been reduced, transmission efficiency has been improved greatly, the latency of user has been reduced, the user looks over the energy consumption of application through mobile terminal, can make the user look over the energy consumption information at arbitrary place of arbitrary time, user's use experience has been improved greatly.
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 (10)
1. An intelligent energy consumption analysis method, which is characterized by comprising the following steps:
s1: collecting energy data to obtain energy information;
s2: inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use;
s3: performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption;
s4: and inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal.
2. The intelligent energy consumption analysis method according to claim 1, wherein the step of collecting energy data to obtain energy information comprises the steps of:
s11: determining energy type data to be collected in a user information input and automatic input mode, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data;
s12: formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface to obtain electric power accumulation data, and the thermodynamic data are obtained through installing intelligent thermodynamic instruments at the inlet and the outlet of a pipeline to obtain thermodynamic accumulation data of the energy source;
S13: and classifying the obtained accumulated data to obtain energy information.
3. The intelligent energy consumption analysis method according to claim 1, wherein the step of inputting the acquired energy information into the analysis system to obtain energy usage data, and performing data processing on the obtained energy usage data to obtain total data information before energy usage and residual data information after usage, comprises:
s21, setting different energy analysis modules according to different energy types by the analysis system;
s22: respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data;
and S23, carrying out data distinguishing processing on the obtained energy use data according to the total amount before use and the residual amount after use, and obtaining the total amount data before use and the residual amount data after use.
4. The intelligent energy consumption analysis method according to claim 1, wherein difference calculation is performed on total energy consumption data before use and total energy consumption data after use to obtain specific energy consumption; comprising the following steps:
s31, determining the type of energy to be analyzed, and selecting a corresponding energy analysis module;
S32, finding out specific energy sources to be analyzed, the total energy source before use and the energy source allowance after use in the corresponding energy source analysis modules;
s33, calculating the difference between the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption;
and S34, storing the obtained specific energy consumption data into the cloud to obtain cloud data of energy consumption.
5. The intelligent energy consumption analysis method according to claim 1, wherein pushing the obtained energy consumption to the user through the mobile terminal comprises:
s41, a user sends an application for acquiring energy consumption to an analysis system according to actual requirements, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types;
s42, the analysis system acquires an application request of a user for energy consumption and transmits an application instruction of the user to the analysis system, and the analysis system starts executing the user instruction after receiving the instruction;
s43, the analysis system packs and sends the result of the received application request of the energy consumption required by the user after executing the instruction through cloud data;
And S44, the cloud data are packaged and the energy consumption information is transmitted to the mobile terminal in real time, and a user can check the applied energy consumption through the mobile terminal.
6. An intelligent energy consumption analysis system, the system comprising:
the energy acquisition module is used for: collecting energy data to obtain energy information;
a usage data acquisition module: inputting the acquired energy information into an analysis system to obtain energy use data, and performing data processing on the obtained energy use data to obtain total data information before energy use and residual data information after use;
the energy consumption calculation module: performing difference calculation on the total energy consumption data before use and the total energy consumption data after use to obtain specific energy consumption;
and the user acquires an energy consumption module: and inputting the obtained energy consumption into a database system, and pushing the user through the mobile terminal.
7. The intelligent energy consumption analysis system according to claim 6, wherein the energy harvesting module comprises:
the energy type determining module: determining energy type data to be collected in a user information input and automatic input mode, wherein the energy type data comprises solid data, liquid data, gaseous data, electric power data and thermal data;
The acquisition strategy making module: formulating an acquisition strategy according to the determined acquired energy type state to obtain accumulated data; the solid state data acquisition is carried out to obtain solid state accumulated data of the energy through a weighing instrument; liquid state data acquisition, namely installing a liquid state flowmeter at a pipeline port for conveying liquid materials to obtain liquid state accumulated data of the energy source; the gaseous state data acquisition is carried out by installing a gaseous state flowmeter at a pipeline port to obtain gaseous state accumulated data of the energy source; the electric power data are collected through an electronic multifunctional ammeter with a communication interface to obtain electric power accumulation data, and the thermodynamic data are obtained through installing intelligent thermodynamic instruments at the inlet and the outlet of a pipeline to obtain thermodynamic accumulation data of the energy source;
the energy information obtaining module: and classifying the obtained accumulated data to obtain energy information.
8. The intelligent energy consumption analysis system according to claim 6, wherein the usage data acquisition module comprises:
the analysis system is provided with different energy analysis modules according to different energy types;
the usage data module: respectively inputting the classified energy information into corresponding energy analysis modules in an analysis system according to different energy type states to obtain energy use data;
And the data distinguishing and processing module is used for distinguishing and processing the obtained energy use data according to the total amount before use and the residual amount after use to obtain the total amount data before use and the residual amount data after use.
9. The intelligent energy consumption analysis system according to claim 6, wherein the energy consumption calculation module comprises:
the energy analysis selection module is used for determining the type of the energy to be analyzed and selecting a corresponding energy analysis module;
the energy data searching module is used for searching specific energy sources to be analyzed, the total energy amount before the use and the energy allowance after the use in the corresponding energy analysis module;
the difference value calculation module is used for carrying out difference value calculation on the total energy before the energy is used and the energy allowance after the energy is used to obtain specific energy consumption;
and the cloud storage module is used for storing the obtained specific energy consumption data into the cloud to obtain the cloud data of the energy consumption.
10. The intelligent energy consumption analysis system according to claim 6, wherein the user acquisition energy consumption module comprises:
the user request module is used for sending an application for acquiring energy consumption to the analysis system according to actual requirements, wherein the actual requirements comprise the energy types required to be known by the user and the energy consumption corresponding to the energy types;
The system execution module is used for acquiring an application request of a user for energy consumption by the analysis system, transmitting an application instruction of the user to the analysis system, and starting to execute the user instruction after the analysis system receives the instruction;
the analysis system packs and transmits the result of the received application request of the energy consumption required by the user after executing the instruction through cloud data;
and the user checking module is used for transmitting the energy consumption information which is packaged and transmitted by the cloud data to the mobile terminal in real time, and the user can check the applied energy consumption through the mobile terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310168906.3A CN116244290A (en) | 2023-02-23 | 2023-02-23 | Intelligent energy consumption analysis system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310168906.3A CN116244290A (en) | 2023-02-23 | 2023-02-23 | Intelligent energy consumption analysis system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116244290A true CN116244290A (en) | 2023-06-09 |
Family
ID=86629271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310168906.3A Pending CN116244290A (en) | 2023-02-23 | 2023-02-23 | Intelligent energy consumption analysis system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116244290A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116520709A (en) * | 2023-06-16 | 2023-08-01 | 上海能誉科技股份有限公司 | Operation optimization device and operation optimization method for energy power system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110145607A1 (en) * | 2009-12-11 | 2011-06-16 | Takeshi Watakabe | Information processing apparatus and energy-consumption control method |
| CN103984307A (en) * | 2014-05-08 | 2014-08-13 | 国网山西省电力公司经济技术研究院 | Energy monitoring management system and method based on electricity waveform analysis |
| CN110134094A (en) * | 2019-06-07 | 2019-08-16 | 广州远正智能科技股份有限公司 | A kind of industrial enterprise's energy consumption management system for monitoring |
-
2023
- 2023-02-23 CN CN202310168906.3A patent/CN116244290A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110145607A1 (en) * | 2009-12-11 | 2011-06-16 | Takeshi Watakabe | Information processing apparatus and energy-consumption control method |
| CN103984307A (en) * | 2014-05-08 | 2014-08-13 | 国网山西省电力公司经济技术研究院 | Energy monitoring management system and method based on electricity waveform analysis |
| CN110134094A (en) * | 2019-06-07 | 2019-08-16 | 广州远正智能科技股份有限公司 | A kind of industrial enterprise's energy consumption management system for monitoring |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116520709A (en) * | 2023-06-16 | 2023-08-01 | 上海能誉科技股份有限公司 | Operation optimization device and operation optimization method for energy power system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116244290A (en) | Intelligent energy consumption analysis system and method | |
| CN115659120A (en) | Intelligent carbon emission monitoring platform based on big data | |
| CN110162859A (en) | A kind of electric vehicle carbon dioxide emission reduction amount evaluation method | |
| CN102174807B (en) | Ropeless static penetrometer and method for acquiring and processing data | |
| CN202018734U (en) | On-site electricity meter parameter acquisition system | |
| Lindorfer et al. | Hydrogen fuel, fuel cells, and methane | |
| CN114897351A (en) | Online monitoring and analyzing method and system based on digital energy and storage medium | |
| CN203719898U (en) | Engine cold start test system | |
| CN201990996U (en) | Cable-less type static-sounding instrument | |
| CN110289641A (en) | A kind of new energy and the two-way energy conservation optimizing method for the power supply of high energy load of thermoelectricity | |
| CN108985661A (en) | Thermal power plant water footprints analysis system, water footprints calculation method and calculator | |
| CN101587599A (en) | Black box and application of same in all-vanadium redox flow battery | |
| CN115884009B (en) | Remote real-time monitoring method, device and system for carbon dioxide emission | |
| CN102169559B (en) | Industrial energy balance analysis system and method | |
| CN110659782A (en) | Energy Internet cooperative system control method for improving energy utilization rate | |
| CN206788591U (en) | Energy Efficiency Analysis and remote monitoring system based on biomass electric power plant | |
| CN116050858A (en) | Comprehensive energy service success evaluation method based on normal cloud model and application thereof | |
| CN201845362U (en) | Actually-measured energy consumption management system of fire coal electric power unit | |
| CN102184481B (en) | System and method for diagnosing and analyzing industrial energy | |
| CN116109096B (en) | Intelligent energy data acquisition system and method based on Internet of things | |
| CN204835712U (en) | Electric wire netting electric quantity acquisition platform | |
| CN113919118B (en) | Resource allocation method, device, equipment and medium for oilfield ground production system | |
| Cabal et al. | Model documentation | |
| CN203102585U (en) | Standard concentrator | |
| CN117371667B (en) | Analysis method of carbon emission influence factor and related equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |