CN209281471U - Building energy consumption monitoring and forecasting systems - Google Patents
Building energy consumption monitoring and forecasting systems Download PDFInfo
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- CN209281471U CN209281471U CN201822046236.5U CN201822046236U CN209281471U CN 209281471 U CN209281471 U CN 209281471U CN 201822046236 U CN201822046236 U CN 201822046236U CN 209281471 U CN209281471 U CN 209281471U
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- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The utility model relates to a kind of building energy consumption monitoring and forecasting systems, including energy consumption data acquisition module, energy consumption data prediction module, data memory module and data monitoring processing module, the energy consumption data acquisition module is for obtaining actual consumption data, the energy consumption data prediction module is used to predict the energy consumption data of following a period of time according to actual consumption data, the data memory module is used to store the data that energy consumption data acquisition module and energy consumption data prediction module generate, the data monitoring processing module is connected with data memory module and energy consumption data prediction module respectively, the data monitoring processing module is used to monitor and handle the data of energy consumption data acquisition module and energy consumption data prediction module.Above system framework advantages of simple, it is convenient to use.
Description
Technical field
The utility model relates to monitoring and forecasting systems, more particularly to building energy consumption monitoring and forecasting systems.
Background technique
Currently, people's lives level is continuously improved with the continuous propulsion of economic fast development and urbanization, for
The utilization rate of city public building is just continuously improved.Consumed electric power, fresh water, the combustion gas in the process of running of city public building
Scale it is also increasing.For city manager there is an urgent need to know the energy consumption data of existing and following a period of time, with
Just corresponding measure is taken to achieve energy-saving and emission reduction purposes.But traditional monitoring and forecasting systems framework is not reasonable, and use is not square enough
Just.
Utility model content
Based on this, it is necessary to for the not reasonable problem of traditional system architecture, it is pre- to provide a kind of building energy consumption monitoring
Examining system.
A kind of building energy consumption monitoring and forecasting systems, comprising:
Energy consumption data acquisition module, energy consumption data prediction module, data memory module and data monitoring processing module, institute
It states energy consumption data acquisition module and is used for for obtaining actual consumption data, the energy consumption data prediction module according to actual consumption number
It is predicted that the energy consumption data of following a period of time, the data memory module are used for energy consumption data acquisition module and energy consumption number
It is predicted that module generate data stored, the data monitoring processing module respectively with data memory module and energy consumption number
It is predicted that module is connected, the data monitoring processing module is for monitoring and handling energy consumption data acquisition module and energy consumption data
The data of prediction module.
Above system framework advantages of simple, it is convenient to use.Energy consumption data acquisition module can be by counting after being collected data
It is stored according to memory module, and it is one section following to predict to be sent to energy consumption data prediction module after being handled by data monitoring processing module
The energy consumption data of time, the data that energy consumption data prediction module generates can be sent to data storage mould by data monitoring processing module
Block is stored.
The energy consumption data acquisition module is building energy consumption collector, the building energy consumption in one of the embodiments,
Collector is connected by RS485 bus with energy-consumption meter.
The building energy consumption collector is Raspberry Pi 3Model B+ single-chip microcontroller in one of the embodiments,.
The data memory module includes local data memory and the storage of cloud data in one of the embodiments,
Device, for the local data memory for storing to the data of energy consumption data acquisition module, the data monitoring handles mould
Block includes big data processing terminal, and the big data processing terminal is used to receive the data of local data memory upload and should
Data storage is stored data beyond the clouds, what the cloud data storage was also used to generate energy consumption data prediction module
Data are stored.
The big data processing terminal is connected with the energy consumption data prediction module in one of the embodiments,.
In one of the embodiments, further include energy consumption data interactive terminal, the energy consumption data interactive terminal respectively with
Local data memory is connected with big data processing terminal, and the data of the local data memory are handed over via the energy consumption data
Mutual terminal is uploaded to big data processing terminal, and the energy consumption data interactive terminal is also connected with energy consumption data prediction module.
The data monitoring processing module further includes client terminal in one of the embodiments, the client terminal point
It is not connected with big data processing terminal and energy consumption data prediction module.
In one of the embodiments, further include building energy consumption collection terminal, the building energy consumption collection terminal respectively with
Energy consumption data acquisition module is connected with local data memory.
Detailed description of the invention
Fig. 1 is the schematic diagram of the building energy consumption monitoring and forecasting systems of the embodiments of the present invention.
Wherein: 110, energy consumption data acquisition module
120, energy consumption data prediction module
130, data memory module
140, data monitoring processing module
Specific embodiment
To keep the above objects, features, and advantages of the utility model more obvious and easy to understand, with reference to the accompanying drawing to this
The specific embodiment of utility model is described in detail.Many details are explained in the following description in order to abundant
Understand the utility model.But the utility model can be implemented with being much different from other way described herein, this field
Technical staff can do similar improvement without prejudice to the utility model connotation, therefore the utility model is not by following public affairs
The limitation for the specific embodiment opened.
It should be noted that it can directly on the other element when element is referred to as " being fixed on " another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it, which can be, is directly connected to
To another element or it may be simultaneously present centering elements.
Unless otherwise defined, all technical and scientific terms used herein are led with the technology for belonging to the utility model
The normally understood meaning of the technical staff in domain is identical.Terminology used in the description of the utility model herein only be
The purpose of description specific embodiment, it is not intended that in limitation the utility model.Term " and or " used herein includes
Any and all combinations of one or more related listed items.
As shown in Figure 1, the embodiments of the present invention provide a kind of building energy consumption monitoring and forecasting systems, comprising:
At energy consumption data acquisition module 110, energy consumption data prediction module 120, data memory module 130 and data monitoring
Module 140 is managed, the energy consumption data acquisition module 110 is for obtaining actual consumption data, the energy consumption data prediction module 120
For predicting that the energy consumption data of following a period of time, the data memory module 130 are used for energy consumption according to actual consumption data
The data that data acquisition module 110 and energy consumption data prediction module 120 generate are stored, the data monitoring processing module
140 are connected with data memory module 130 and energy consumption data prediction module 120 respectively, and the data monitoring processing module 140 is used
In the data for monitoring and handling energy consumption data acquisition module 110 and energy consumption data prediction module 120.
Above system framework advantages of simple, it is convenient to use.Energy consumption data acquisition module 110 is collected after data can be by
Data memory module 130 store, and by data monitoring processing module 140 handle after be sent to energy consumption data prediction module 120
Predict the energy consumption data of following a period of time, the data that energy consumption data prediction module 120 generates can be by data monitoring processing module
140, which are sent to data memory module 130, is stored.
Specifically, energy consumption data acquisition module 110 may include multiple building energy consumption collectors.Building energy consumption collector can
It is connected by RS485 bus with corresponding instrument.Above-mentioned instrument may include ammeter, water meter or gas meter, flow meter etc..Above-mentioned building energy consumption
Collector can be single-chip microcontroller, such as Raspberry Pi 3Model B+ single-chip microcontroller can be used.Its interface may include that USB3.0 connects
Mouthful, RJ45 cable interface, Micro USB interface, HDMI display output interface, charging interface etc..It can be transferred by USB3.0
RS485 serial ports.It is appreciated that building energy consumption collector can also use the energy consumption collector of existing other types.
In the present embodiment, the data memory module 130 includes local data memory and cloud data storage, described
Local data memory is for storing the data of energy consumption data acquisition module 110, the data monitoring processing module 140
Including big data processing terminal, the big data processing terminal is used to receive the data of local data memory upload and by the number
It is stored according to data storage beyond the clouds, the cloud data storage is also used to generate energy consumption data prediction module 120
Data stored.
For example, single building energy consumption data can first be stored in local data memory.Cloud can be stored in after forming energy consumption data collection
End data memory.120 pairs of futures of energy consumption data prediction module predict that the energy consumption data obtained can also be stored in cloud for a period of time
End data memory.
In the present embodiment, the big data processing terminal is connected with the energy consumption data prediction module 120.The big data
Processing terminal is used to that energy consumption data prediction module 120 will to be sent to after data processing that local data memory uploads and uses.Example
Such as, local data memory is stored with collected actual consumption data, and big data processing terminal is by actual consumption data processing
It is used at energy consumption data prediction module 120 is sent to after data mode needed for energy consumption data prediction module 120.
Further include energy consumption data interactive terminal in the present embodiment, the energy consumption data interactive terminal respectively with local data
Memory is connected with big data processing terminal, and the data of the local data memory are via on the energy consumption data interactive terminal
Big data processing terminal is reached, the energy consumption data interactive terminal is also connected with energy consumption data prediction module 120.
In use, the data that energy consumption data prediction module 120 generates can be uploaded to big number via energy consumption data interactive terminal
According to processing terminal, and cloud data storage is sent to by big data processing terminal and is stored.The number of local data memory
According to big data processing terminal can also be uploaded to via the energy consumption data interactive terminal, and cloud is sent to by big data processing terminal
End data memory is stored.Further, the actual consumption data and energy consumption data inside local data memory are pre-
Surveying the data that module 120 generates can be compared on energy consumption data interactive terminal, and the error amount formed after comparison can be fed back to
Energy consumption data prediction module 120 improves corresponding energy consumption prediction model for energy consumption data prediction module 120.
In the present embodiment, the data monitoring processing module 140 further includes client terminal, and the client terminal is respectively and greatly
Data processing terminal and energy consumption data prediction module 120 are connected.Client terminal is for receiving actual consumption data and prediction
The energy consumption data of following a period of time out, and above-mentioned data are monitored.Client terminal can be mobile device, such as intelligence
Energy mobile phone etc..
Further include building energy consumption collection terminal in the present embodiment, the building energy consumption collection terminal respectively with energy consumption data
Acquisition module 110 is connected with local data memory.Building energy consumption collection terminal after actual consumption data collection for will send
It is stored to ontology data memory.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
Above-described embodiments merely represent several embodiments of the utility model, the description thereof is more specific and detailed,
But it cannot be understood as the limitations to utility model patent range.It should be pointed out that for the common skill of this field
For art personnel, without departing from the concept of the premise utility, various modifications and improvements can be made, these are belonged to
The protection scope of the utility model.Therefore, the scope of protection shall be subject to the appended claims for the utility model patent.
Claims (8)
1. a kind of building energy consumption monitoring and forecasting systems characterized by comprising
Energy consumption data acquisition module, energy consumption data prediction module, data memory module and data monitoring processing module, the energy
Consumption data acquisition module is used for pre- according to actual consumption data for obtaining actual consumption data, the energy consumption data prediction module
The energy consumption data of following a period of time is surveyed, the data memory module is used for energy consumption data acquisition module and energy consumption data is pre-
It surveys the data that module generates to be stored, the data monitoring processing module is pre- with data memory module and energy consumption data respectively
It surveys module to be connected, the data monitoring processing module is for monitoring and handling energy consumption data acquisition module and energy consumption data prediction
The data of module.
2. building energy consumption monitoring and forecasting systems as described in claim 1, which is characterized in that the energy consumption data acquisition module is
Building energy consumption collector, the building energy consumption collector are connected by RS485 bus with energy-consumption meter.
3. building energy consumption monitoring and forecasting systems as claimed in claim 2, which is characterized in that the building energy consumption collector is
Raspberry Pi 3Model B+ single-chip microcontroller.
4. building energy consumption monitoring and forecasting systems as described in claim 1, which is characterized in that the data memory module includes this
Ground data storage and cloud data storage, the local data memory be used for the data of energy consumption data acquisition module into
Row storage, the data monitoring processing module includes big data processing terminal, and the big data processing terminal is for receiving local
Data storage upload data and by the data, data storage is stored beyond the clouds, the cloud data storage is also used
It is stored in the data generated to energy consumption data prediction module.
5. building energy consumption monitoring and forecasting systems as claimed in claim 4, which is characterized in that the big data processing terminal and institute
Energy consumption data prediction module is stated to be connected.
6. building energy consumption monitoring and forecasting systems as claimed in claim 4, which is characterized in that further include that energy consumption data interaction is whole
End, the energy consumption data interactive terminal are connected with local data memory and big data processing terminal respectively, the local data
The data of memory are uploaded to big data processing terminal, the energy consumption data interactive terminal via the energy consumption data interactive terminal
Also it is connected with energy consumption data prediction module.
7. building energy consumption monitoring and forecasting systems as claimed in claim 4, which is characterized in that the data monitoring processing module is also
Including client terminal, the client terminal is connected with big data processing terminal and energy consumption data prediction module respectively.
8. building energy consumption monitoring and forecasting systems as claimed in claim 7, which is characterized in that further include that building energy consumption is collected eventually
End, the building energy consumption collection terminal are connected with energy consumption data acquisition module and local data memory respectively.
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| CN201822046236.5U CN209281471U (en) | 2018-12-06 | 2018-12-06 | Building energy consumption monitoring and forecasting systems |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112180780A (en) * | 2020-09-09 | 2021-01-05 | 四川九门科技股份有限公司 | Intelligent energy consumption monitoring and management system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112180780A (en) * | 2020-09-09 | 2021-01-05 | 四川九门科技股份有限公司 | Intelligent energy consumption monitoring and management system and method |
| CN112180780B (en) * | 2020-09-09 | 2021-04-27 | 四川九门科技股份有限公司 | Intelligent energy consumption monitoring and management system and method |
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