CN108924234A - Building energy conservation monitoring, evaluation and early warning system and method based on trust computing - Google Patents
Building energy conservation monitoring, evaluation and early warning system and method based on trust computing Download PDFInfo
- Publication number
- CN108924234A CN108924234A CN201810774049.0A CN201810774049A CN108924234A CN 108924234 A CN108924234 A CN 108924234A CN 201810774049 A CN201810774049 A CN 201810774049A CN 108924234 A CN108924234 A CN 108924234A
- Authority
- CN
- China
- Prior art keywords
- environment parameter
- energy
- server
- data
- concentrator
- 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.)
- Granted
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 190
- 238000004134 energy conservation Methods 0.000 title claims abstract description 84
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000012544 monitoring process Methods 0.000 title claims abstract description 47
- 238000005265 energy consumption Methods 0.000 claims abstract description 91
- 238000004422 calculation algorithm Methods 0.000 claims description 32
- 238000013500 data storage Methods 0.000 claims description 13
- 230000005611 electricity Effects 0.000 claims description 11
- 238000005259 measurement Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 9
- 238000007726 management method Methods 0.000 claims description 5
- 238000012795 verification Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 2
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 238000004364 calculation method Methods 0.000 description 5
- 238000013480 data collection Methods 0.000 description 4
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000005242 forging Methods 0.000 description 2
- 241001062009 Indigofera Species 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- ORQBXQOJMQIAOY-UHFFFAOYSA-N nobelium Chemical compound [No] ORQBXQOJMQIAOY-UHFFFAOYSA-N 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000011330 nucleic acid test Methods 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 210000000352 storage cell Anatomy 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000010792 warming Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
- H04L63/0442—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
-
- 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)
- Human Resources & Organizations (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Emergency Management (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Primary Health Care (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses building energy conservation monitoring, evaluation and early warning systems and method based on trust computing, concentrator, and the Energy efficiency evaluation server and energy consumption data server that are connected with environment parameter acquisition concentrator are acquired including the wireless sensor being connected by wireless network and environment parameter；Environment parameter information is acquired using wireless sensor, is transmitted to environment parameter acquisition concentrator；Environment parameter acquires concentrator and the environment parameter information and environmental parameter collected is transmitted to Energy efficiency evaluation server, then the energy saving evaluation result data for calculating and returning are received, and institute's aggregated data is transmitted to energy consumption data server, it is solved in building energy saving field with reaching, it is inconsistent that calculating standard is judged under the physical conditions such as Different climate, direction, wind direction, and evaluation monitoring system input information is excessive, deployment upgrading trouble is to influence system ease for use and be difficult to the technical purpose promoted on a large scale.
Description
Technical field
The present invention relates to building energy conservation monitoring technical fields, monitored more particularly, to the building energy conservation based on trust computing,
Evaluation and early warning system and method.
Background technique
In current building energy saving field, the judgement of coefficient of energy dissipation and energy conservation standard is an extremely complex and system
Technical problem, and all can be different for judging calculating standard under the conditions of Different climate, direction, wind direction, so that bringing
Information is inconsistent and evaluation monitoring system input information is excessive, disposes upgrading trouble and influences system ease for use, is unfavorable for system
It is a wide range of to promote.
Patent of invention CN104680001《Building energy saving rate calculation method based on Studies of Human Body Heat adaptive model》, provide one
Building energy saving rate calculation method of the kind based on human body acclimation to heat passes through acquisition outdoor temperature, temperature, room area and room power consumption
Amount, can be according to the corresponding building energy saving rate of benchmark model Simple Calculation established, to reflect the design energy-saving horizontal of building.
Patent of invention CN105389419A《A kind of simple and easy method of Residential Buildings Energy effect assessment》, propose one kind and build
Energy consumption calculation model is built, by acquiring different exterior walls/interior wall/exterior window heat transfer coefficient, coefficient of heat insulation and shading coefficient, in conjunction with building
Building enclosure, material, orientation are built, to calculate corresponding reference energy consumption under conditions present and obtain building energy consumption evaluation.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention is intended to provide the building energy conservation based on trust computing monitor,
Evaluation and early warning system and method acquire concentrator including the wireless sensor being connected by wireless network and environment parameter, with
And the Energy efficiency evaluation server and energy consumption data server being connected with environment parameter acquisition concentrator；Pass through wireless sensor
Environment parameter information is acquired, environment parameter is then transmitted to by wireless network and acquires concentrator；Environment parameter acquisition concentrator will be converged
The environment parameter information of collection is transmitted to Energy efficiency evaluation server, and receives the energy saving evaluation result data for calculating and returning, and by institute
The energy saving evaluation result data transmission of the environment parameter information and return collected is to energy consumption data server, in energy consumption data server
It stored, inquired, report and energy consumption early warning movement, being solved in building energy saving field with reaching, in Different climate, court
It is inconsistent that calculating standard is judged under to physical conditions such as, wind directions, and evaluation monitoring system input information is excessive, deployment upgrading fiber crops
It is tired of to influence system ease for use and be difficult to the technical purpose promoted on a large scale.
For this purpose, the technical scheme adopted by the invention is that：Building energy conservation monitoring, evaluation and early warning system based on trust computing
System and method acquire concentrator including the wireless sensor being connected by wireless network and environment parameter, and with the environment
The Energy efficiency evaluation server and energy consumption data server that amount acquisition concentrator is connected；The inside of the environment parameter acquisition concentrator
Including being sequentially connected the radio network interface connect, sensor management unit, data collection unit, computer and Ethernet interface,
The computer is also connected with entity authentication unit and energy consumption alarm unit；The Energy efficiency evaluation server includes sequentially connected
DEU data encryption unit, Energy efficiency evaluation algorithm unit and entity authentication unit；The energy consumption data server includes sequentially connected
Data authentication unit, energy consumption data storage unit and energy consumption report unit are also connected with energy in the energy consumption data storage unit
Reminding unit and data query unit are consumed, is connected with energy consumption prewarning unit on the data query unit, wherein：
Wireless sensor metope temperature, roofing temperature, air themperature, fresh air volume, voltage and the electricity for collecting environment
Then amount is transmitted to environment parameter by wireless network and acquires concentrator；
The environment parameter acquisition concentrator is used to collect the wireless sensor data in a region, is then delivered to Energy efficiency evaluation clothes
Business device carries out energy saving judge, and is transmitted to energy consumption data server and carries out data storage, inquiry and report；
The Energy efficiency evaluation server is used to receive the sensor measurement and environment transmitted from environment parameter acquisition concentrator
Parameter executes energy conservation and judges operation, and energy saving evaluation result data are then returned to environment parameter acquisition concentrator；
The energy consumption data server is used for environment parameter data and energy conservation evaluation result number from environment parameter acquisition concentrator
According to authenticated, stored, inquired, report and energy consumption early warning are reminded.
Further, the wireless sensor includes microcomputer, and the biography being connected with the microcomputer
Sensor component and radio network interface.
Further, the wireless sensor is metope temperature sensor, outdoor temperature sensor, room temperature sensing
Any combination of device, fresh air quantity sensor, voltage measuring apparatus and electrical quantity measurement arrangement.
More preferably, the entity authentication list of the entity authentication unit of the environment parameter acquisition concentrator and Energy efficiency evaluation server
Authentication mechanism used by member is rivest, shamir, adelman, for acquiring between concentrator and Energy efficiency evaluation server in environment parameter
When establishing communication connection, two-way entity identities certification is carried out；Wherein：It is deposited on the entity authentication unit of environment parameter acquisition concentrator
The first public key and the second private key are contained, the first private key and the second public affairs are stored on the entity authentication unit of Energy efficiency evaluation server
Key；First public key and the first private key constitute one group of rivest, shamir, adelman, and one group of the second public key and the second private key composition are non-
Symmetric encipherment algorithm.
More preferably, the environment parameter acquires concentrator to before energy consumption data server transmissioning data, need to be to data to be transmitted
Carry out asymmetric encryption；Wherein：Third private key, the data of energy consumption data server are stored on the environment parameter acquisition concentrator
Third public key is stored in authentication unit, the third private key and third public key constitute one group of rivest, shamir, adelman.
More preferably, the Energy efficiency evaluation server has distributed load balancing characteristic, and internal includes traffic monitoring
Unit, for acquiring the network flow data for passing through Energy efficiency evaluation server；It is corresponding, the building energy conservation monitoring,
Evaluation and early warning system further include load-balanced server, and the inside of the load-balanced server includes load dispatching unit,
And the load overload alarm unit and load condition Centralized Monitoring unit being connected with the load dispatching unit；Load dispatch
Unit is connected with the traffic monitoring unit of Energy efficiency evaluation server.
Building energy conservation monitoring, evaluation and the method for early warning that the invention further relates to a kind of based on trust computing, including walk as follows
Suddenly：
S1, the metope temperature of wireless sensor acquisition environment, roofing temperature, air themperature, fresh air volume, voltage and electricity letter
Then breath is transmitted to environment parameter by wireless network and acquires concentrator；
The environment parameter information collected is transmitted to Energy efficiency evaluation server by S2, environment parameter acquisition concentrator, is commented with carrying out energy conservation
Sentence operation；
S3, environment parameter acquisition concentrator receive the energy saving evaluation result data exported from Energy efficiency evaluation server；
S4, environment parameter acquisition concentrator are by the environment parameter information collected and energy saving evaluation result data transmission to energy consumption data service
Device；
S5, energy consumption data server receive environment parameter information and energy saving evaluation result data, stored, inquired, report and
Energy consumption early warning movement；
Wherein：
Transmit process described in step S2 further includes that the entity identities between environment parameter acquisition concentrator and Energy efficiency evaluation server are recognized
Card process, authentication mechanism used by the entity identities verification process are rivest, shamir, adelman；Wherein：Environment parameter acquisition collection
It is stored with the first public key and the second private key on middle device, the first private key and the second public key are stored on Energy efficiency evaluation server；It is described
First public key and the first private key constitute one group of rivest, shamir, adelman, and the second public key and the second private key constitute one group of asymmetric encryption
Algorithm；
Transmit process described in step S4 further includes the data authentication between environment parameter acquisition concentrator and energy consumption data server
Process, authentication mechanism used by the data authentication process are rivest, shamir, adelman；Wherein：The environment parameter acquisition is concentrated
It is stored with third private key on device, third public key, the third private key are stored on the data authentication unit of energy consumption data server
One group of rivest, shamir, adelman is constituted with third public key.
More preferably, energy conservation described in step S2 judge operation have load-balancing function, specifically, step S2 further include as
Lower step：
S201, Energy efficiency evaluation server receive the environment parameter information from environment parameter acquisition concentrator, are denoted as the first Energy efficiency evaluation
Server；
Internal traffic monitoring unit network flow data collected is transmitted to load by S202, each Energy efficiency evaluation server
The load dispatching unit of equalization server；
According to the network flow data of each Energy efficiency evaluation server collected, dynamic select is negative for S203, load-balanced server
Most light Energy efficiency evaluation server is carried, the second Energy efficiency evaluation server is denoted as；Then by the positioning of the second Energy efficiency evaluation server
Identification information broadcast notifies all Energy efficiency evaluation servers；
The received environment parameter information of institute is transmitted to the second Energy efficiency evaluation server by S204, the first Energy efficiency evaluation server；
S205, the second Energy efficiency evaluation server carry out energy conservation and judge operation, and export energy saving evaluation result data；
The energy saving evaluation result data of output by Ethernet, are transmitted to environment parameter and adopted by S206, the second Energy efficiency evaluation server
Collect concentrator.
More preferably, a kind of building energy conservation monitoring, evaluation and method for early warning based on trust computing, includes the following steps：
S1, the metope temperature of wireless sensor acquisition environment, roofing temperature, air themperature, fresh air volume, voltage and electricity letter
Then breath is transmitted to environment parameter by wireless network and acquires concentrator；
S6, Energy efficiency evaluation server send the energy conservation judge algorithm with the first private key signature to environment parameter acquisition concentrator and refer to
It enables；
S7, environment parameter acquisition concentrator using it is described energy conservation judge algorithm instruction, according to the wireless sensor data collected into
Operation is judged in row energy conservation, and output has the Energy efficiency evaluation result data of third private key signature；
S4, environment parameter acquisition concentrator are by the environment parameter information collected and energy saving evaluation result data transmission to energy consumption data service
Device；
S5, energy consumption data server receive environment parameter information and energy saving evaluation result data, stored, inquired, report and
Energy consumption early warning movement.
More preferably, step S6 includes the following steps：
S601, environment parameter acquire concentrator requests energy conservation to judge algorithm instruction to Energy efficiency evaluation server；
S602, Energy efficiency evaluation server receive request, and then returning to one to environment parameter acquisition concentrator has the first private key label
Algorithm instruction is judged in the energy conservation of name.
The present invention has the advantages that：
Firstly, the present invention is commented by the way that environment parameter acquisition concentrator architectural environment amount information collected is transmitted to long-range energy conservation
Valence server, and receive and calculate resulting energy saving evaluation result data, thus realize the arithmetic logic consistency to Energy efficiency evaluation,
Avoid inconsistent for judge calculating standard under the conditions of Different climate, direction, wind direction in traditional Energy efficiency evaluation system and system
The problem of input information is excessive, deployment upgrades trouble and influences system ease for use is commented to be conducive to the building energy conservation monitoring
Valence system is widely applied；
Secondly, system of the present invention is in the links transmitting of environment parameter acquisition, evaluation and data storage, data used are passed through
Entity identities certification and asymmetric encryption operation are crossed, thus guarantee the credibility of environment parameter information and Energy efficiency evaluation result data,
It prevents forgery unauthorized to data and distorts, improve the safety and confidentiality of system application；
Third has load balancing characteristic using the Energy efficiency evaluation server that centralization calculates, can be according to the sensing actually accessed
Device quantity and asd number dynamic increase and decrease operational capability, ensure that performance, reliability and scalability that system architecture is implemented.
Detailed description of the invention
Fig. 1 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and early warning system composed structure schematic diagram；
Fig. 2 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and early warning system wireless sensor inside composition
Structural schematic diagram；
Fig. 3 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and early warning system another reality of Energy efficiency evaluation server
Apply the composed structure schematic diagram of example；
Fig. 4 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and method for early warning flow chart；
Fig. 5 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and method for early warning S2 described in energy conservation judge operation it is another
The flow chart of embodiment；
Fig. 6 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and method for early warning another embodiment flow chart；
Fig. 7 be it is a kind of based on trust computing building energy conservation monitoring, evaluation and the another embodiment of method for early warning step S6 stream
Cheng Tu.
Specific embodiment
In order to deepen the understanding of the present invention, present invention will be further explained below with reference to the attached drawings and examples, the implementation
Example for explaining only the invention, does not constitute protection scope of the present invention and limits.
A kind of building energy conservation monitoring, evaluation and early warning system based on trust computing of the present invention, composed structure
As shown in Figure 1, include the wireless sensor 1 being connected by wireless network and environment parameter acquisition concentrator 2, and with the ring
The Energy efficiency evaluation server 3 and energy consumption data server 4 that border amount acquisition concentrator 2 is connected.Wherein：For connecting wireless sensing
The wireless network of device 1 and environment parameter acquisition concentrator 2 generally includes bluetooth, Zigbee, Wi-Fi, GPRS and wireless internet of things etc.,
A kind of common wireless internet of things are NB-IoT network.Environment parameter acquire between concentrator 2 and Energy efficiency evaluation server 3 and
Environment parameter acquires the internetwork connection mode between concentrator 2 and energy consumption data server 4, either Ethernet cable network,
It is also possible to the wireless broadband networks such as 4G, 5G, WIFI.
The modules of internal system are described in detail with component below.
The wireless sensor 1 metope temperature for collecting environment, roofing temperature, air themperature, fresh air volume, voltage with
And electricity is transmitted to environment parameter acquisition concentrator 2 then by wireless network.
The further structure in 1 inside of the wireless sensor is as described in Figure 2, including microcomputer 101 and with it is described
The sensor element 102 and radio network interface 103 that microcomputer 101 is connected.Radio network interface 103 generally includes indigo plant
Tooth, Zigbee, Wi-Fi, GPRS and wireless internet of things etc. standard.
Specifically, the wireless sensor 1 be metope temperature sensor, outdoor temperature sensor, indoor temperature transmitter,
Any combination of fresh air quantity sensor, voltage measuring apparatus and electrical quantity measurement arrangement, to realize that building energy conservation is monitored, measures and commented
Real requirement needed for valence.Wherein：Metope temperature sensor, outdoor temperature sensor and indoor temperature transmitter are built for acquiring
The related data of heat exchange effect is built, fresh air quantity sensor is used to measure current air-conditioning, for air duct data of warming up, voltage measurement dress
It sets with electrical quantity measurement arrangement for real-time monitoring power supply quality and metering energy consumption data.
The environment parameter acquisition concentrator 2 is used to collect the wireless sensor data in a region, is then delivered to energy conservation
Evaluation server 3 carries out energy saving judge, and is transmitted to energy consumption data server 4 and carries out data storage, inquiry and report.It is some
System is also referred to as data collection station, front end processor, data collecting instrument etc..
It include being sequentially connected the radio network interface 202 connect, sensor management list inside the environment parameter acquisition concentrator 2
Member 204, data collection unit 205, computer 201 and Ethernet interface 203, the computer 201 are also connected with entity authentication
Unit 206 and energy consumption alarm unit 207.Wherein：Sensor management unit 204 be used to be managed collectively coupled institute whether there is or not
Line sensor：ID, classification and the Connecting quantity of each wireless sensor are recorded, and carries out parameter setting, logic control and operation
Condition managing；Data collection unit 205 is locally stored for acquiring coupled each wireless sensor data；
Entity authentication unit 206 is used to acquire between concentrator 2 and Energy efficiency evaluation server 3 environment parameter and environment parameter acquisition collection
Network connection process between middle device 2 and energy consumption data server 4 carries out two-way authentication procedures；Energy consumption alarm unit
207 for carrying out local acousto-optic state instruction after energy conservation judges operation, obtains the exceeded result of energy consumption.
The Energy efficiency evaluation server 3 is used to receive the sensor measurement transmitted from environment parameter acquisition concentrator 2
And environmental parameter, it executes energy conservation and judges operation, energy saving evaluation result data are then returned to environment parameter acquisition concentrator 2.Institute
State the information such as area, height, layer height, direction, wall covering, the window materials in room where environmental parameter includes；This information by
Environment parameter acquires concentrator and pre-enters when arranging installation, and is transmitted to energy conservation together when carrying out energy conservation and judging operation and commented
Valence server 3 calculates a part of input data to judge as energy conservation.Calculating resulting energy saving evaluation result data includes institute
It is that measure evaluation building energy conservation horizontal and implement section in the coefficient of energy dissipation of situation of building, Power Saving Class and whether exceeded etc.
The data supporting that can be lowered consumption.Calculating process is judged in energy conservation can refer to patent of invention CN104680001《Based on Studies of Human Body Heat adaptive model
Building energy saving rate calculation method》And patent of invention CN105389419A《A kind of Residential Buildings Energy effect assessment it is simple
Method》It is described, the simple and feasible method for Effective evaluation of building energy saving and fractional energy savings calculating is both provided, using general
Building energy consumption computation model, by acquisition outdoor temperature, temperature, room area and room power consumption, in conjunction with architectural exterior-protecting construction,
Material, orientation, to calculate corresponding reference energy consumption under conditions present and obtain building energy consumption evaluation, to reflect the design section of building
It can horizontal and indoor electric appliance energy consumption grade.
The inside of the Energy efficiency evaluation server 3 includes sequentially connected DEU data encryption unit 301, Energy efficiency evaluation algorithm list
Member 302 and entity authentication unit 303.Wherein：DEU data encryption unit 301 is used to return to environment parameter after calculating energy conservation judge and adopt
The data for collecting concentrator 2 carry out asymmetric encryption, to guarantee the credibility of data and prevent from forging to distort；Energy efficiency evaluation algorithm list
Member 302 for sensor measurement and environmental parameter based on the received, calculate coefficient of energy dissipation including place situation of building,
Power Saving Class and whether the energy saving evaluation result data including the information such as exceeded；Entity authentication unit 303 is added using asymmetric
Close algorithm carries out two-way entity body for acquiring the network connection between concentrator 2 and Energy efficiency evaluation server 3 to environment parameter
Part certification.
The energy consumption data server 4 is used for environment parameter data and energy conservation judge from environment parameter acquisition concentrator 2
Result data authenticated, stored, being inquired, report, and carries out energy consumption early warning prompting.The energy consumption data server 4 it is interior
Portion includes sequentially connected data authentication unit 402, energy consumption data storage unit 401 and energy consumption report unit 403, the energy consumption
It is also connected with energy consumption reminding unit 405 and data query unit 404 on data storage cell 401, connects on data query unit 404
It is connected to energy consumption prewarning unit 406.Wherein：Data authentication unit 402 is used to believe from the environment parameter of environment parameter acquisition concentrator 2
Breath and energy saving evaluation result data carry out credible and format legitimacy certification；Energy consumption data storage unit 401 is based on great Rong
Amount large database is stored, application distribution formula, non-relational database；The exportable energy consumption statistic of energy consumption report unit 403
Report pattern, and there is printing function；Data query unit 404 can query history energy consumption acquisition data and energy saving evaluation result
There is data table show and data export function, and data query process in energy consumption data storage unit 401 based on to storing
Data carry out；Energy consumption prewarning unit 406 in manual or automated query process for sending out data query unit 404
Existing energy consumption is exceeded, exception information, carry out local sound-light alarm, pop-up prompt or by short message, using shapes such as interior message
Formula remote notification.Energy consumption early warning is usually such as increased beyond expected electricity shortage, energy consumption extremely, usually has biggish electricity consumption
Risk.
Embodiment 2
In a kind of more preferably embodiment of a kind of building energy conservation monitoring based on trust computing, evaluation and early warning system,
Used by environment parameter acquires the entity authentication unit 206 of concentrator 2 and the entity authentication unit 303 of Energy efficiency evaluation server 3
Authentication mechanism is rivest, shamir, adelman, and communication is established between concentrator 2 and Energy efficiency evaluation server 3 for acquiring in environment parameter
When connection, two-way entity identities certification is carried out.Wherein：It is stored on the entity authentication unit 206 of environment parameter acquisition concentrator 2
First public key and the second private key are stored with the first private key and second public on the entity authentication unit 303 of Energy efficiency evaluation server 3
Key；First public key and the first private key constitute one group of rivest, shamir, adelman, and one group of the second public key and the second private key composition are non-
Symmetric encipherment algorithm.Common rivest, shamir, adelman is RSA Algorithm.
Embodiment 3
In a kind of more preferably embodiment of a kind of building energy conservation monitoring based on trust computing, evaluation and early warning system,
Before environment parameter acquisition concentrator 2 transmits data to energy consumption data server 4, asymmetric encryption need to be carried out to data to be transmitted.Its
In：It is stored with third private key on the environment parameter acquisition concentrator, is stored on the data authentication unit of energy consumption data server
Third public key, the third private key and third public key constitute one group of rivest, shamir, adelman.
For system in the links transmitting of environment parameter acquisition, evaluation and data storage, data used pass through entity identities
Certification and asymmetric encryption operation, to guarantee that environment parameter information and Energy efficiency evaluation result data can in the height of any transmission link
Letter property, prevents forgery unauthorized to data and distorts, and improves the safety and confidentiality of system application.
Embodiment 4
In a kind of more preferably embodiment of a kind of building energy conservation monitoring based on trust computing, evaluation and early warning system,
Energy efficiency evaluation server 3 has distributed load balancing characteristic, and internal composed structure is as described in Figure 3, including flow prison
Unit 304 is controlled, for acquiring the network flow data for passing through Energy efficiency evaluation server 3, the network flow data includes network
Uplink traffic and network downstream flow；It is corresponding, it is described it is a kind of based on trust computing building energy conservation monitoring, evaluation and
Early warning system further includes load-balanced server 5, and the inside of the load-balanced server 5 includes load dispatching unit 501, with
And the load overload alarm unit 502 and load condition Centralized Monitoring unit 503 being connected with the load dispatching unit 501；
Load dispatching unit 501 is connected with the traffic monitoring unit 304 of Energy efficiency evaluation server 3.
Wherein：Load dispatching unit 501 is according to the network flow of each Energy efficiency evaluation server collected, dynamically by net
Network data（Environment parameter information i.e. from environment parameter acquisition concentrator）It is reasonably allocated on multiple Energy efficiency evaluation servers and executes；
Load overload alarm unit 502 is detecting that the load for some or multiple Energy efficiency evaluation servers occur is more than preset network
When flow restriction, provides local sound-light alarm, pop-up and carries out remote notification by short message, using modes such as interior information,
To facilitate user to handle in time；Load condition Centralized Monitoring unit 503 is used to check the net of all Energy efficiency evaluation servers of system
Network flow status information.Common load-balancing technique includes that DNS load balancing, reverse proxy load balancing and NAT load are equal
Weighing apparatus.
Load balancing characteristic is supported to be increased according to the practical number of sensors accessed of system and asd number dynamic, subtracts operation energy
Power ensures that the performance, retractility and reliability of system architecture.Using two-way entity identities authentication mechanism and load balancing
After mechanism, Energy efficiency evaluation server can not only be concentrated and be deployed in housing construction administrative department, can also be by authorizing, distributing
Mode is deployed to that there are the Tenement of managing power consumption demand or commercial management units.
Building energy conservation monitoring, evaluation and the method for early warning that the invention further relates to a kind of based on trust computing, process such as Fig. 4
It is shown, include the following steps：
S1, the metope temperature of wireless sensor acquisition environment, roofing temperature, air themperature, fresh air volume, voltage and electricity letter
Then breath is transmitted to environment parameter by wireless network and acquires concentrator；
The environment parameter information that S2, environment parameter acquisition concentrator will be collected（Including metope temperature, roofing temperature, air themperature, new
Air quantity, voltage and information about power）It is transmitted to Energy efficiency evaluation server, judges operation to carry out energy conservation；
S3, environment parameter acquisition concentrator receive the energy saving evaluation result data exported from Energy efficiency evaluation server；
S4, environment parameter acquisition concentrator are by the environment parameter information collected and energy saving evaluation result data transmission to energy consumption data service
Device；
S5, energy consumption data server receive environment parameter information and energy saving evaluation result data, stored, inquired, report and
Energy consumption early warning movement.
In above-mentioned process step：
Transmit process described in step S2 further includes that the entity identities between environment parameter acquisition concentrator and Energy efficiency evaluation server are recognized
Card process, authentication mechanism used by the entity identities verification process are rivest, shamir, adelman.Wherein：Environment parameter acquisition collection
It is stored with the first public key and the second private key on middle device, the first private key and the second public key are stored on Energy efficiency evaluation server；It is described
First public key and the first private key constitute one group of rivest, shamir, adelman, and the second public key and the second private key constitute one group of asymmetric encryption
Algorithm.
Transmit process described in step S4 further includes the data between environment parameter acquisition concentrator and energy consumption data server
Verification process, authentication mechanism used by the data authentication process are rivest, shamir, adelman.Wherein：The environment parameter acquisition
It is stored with third private key on concentrator, is stored with third public key on the data authentication unit of energy consumption data server；The third
Private key and third public key constitute one group of rivest, shamir, adelman.
Embodiment 5
Energy conservation described in step S2 is judged in another more preferably embodiment of calculating process, and S2 also has load balancing characteristic,
Process is as shown in figure 5, include the following steps：
S201, Energy efficiency evaluation server receive the environment parameter information from environment parameter acquisition concentrator, are denoted as the first Energy efficiency evaluation
Server；
Internal traffic monitoring unit network flow data collected is transmitted to load by S202, each Energy efficiency evaluation server
The load dispatching unit of equalization server, wherein：The network flow data includes Network uplink traffic and network downstream flow；
According to the network flow data of each Energy efficiency evaluation server collected, dynamic select is negative for S203, load-balanced server
Most light Energy efficiency evaluation server is carried, the second Energy efficiency evaluation server is denoted as；Then by the positioning of the second Energy efficiency evaluation server
Identification information broadcast notifies all Energy efficiency evaluation servers；
The received environment parameter information of institute is transmitted to the second section according to positioning identifier information by S204, the first Energy efficiency evaluation server
Server can be evaluated；
S205, the second Energy efficiency evaluation server carry out energy conservation and judge operation, and export energy saving evaluation result data；
The energy saving evaluation result data for calculating output by Ethernet, are transmitted to environment by S206, the second Energy efficiency evaluation server
Amount acquisition concentrator.
Wherein：The positioning identifier information includes the network IP and port numbers of the second Energy efficiency evaluation server, positioning identifier
The broadcasting method of information is udp broadcast.
Embodiment 6
It is described it is a kind of based on trust computing building energy conservation monitoring, evaluation and method for early warning another more excellent embodiment, stream
Journey is as shown in fig. 6, include the following steps：
S1, the metope temperature of wireless sensor acquisition environment, roofing temperature, air themperature, fresh air volume, voltage and electricity letter
Then breath is transmitted to environment parameter by wireless network and acquires concentrator；
S6, Energy efficiency evaluation server send the energy conservation judge algorithm with the first private key signature to environment parameter acquisition concentrator and refer to
It enables；
S7, environment parameter acquisition concentrator using it is described energy conservation judge algorithm instruction, according to the wireless sensor data collected into
Operation is judged in row energy conservation, and output has the Energy efficiency evaluation result data of third private key signature；
S4, environment parameter acquisition concentrator are by the environment parameter information collected and energy saving evaluation result data transmission to energy consumption data service
Device；
S5, energy consumption data server receive environment parameter information and energy saving evaluation result data, stored, inquired, report and
Energy consumption early warning movement.
Wherein：Energy conservation described in S6 judge algorithm instruction carrier be can dynamically load program's code file, file shape
Formula includes .dll file .so file and script file, has the first private key signature, to guarantee the credibility of algorithm carrier
With prevent from forging, distort characteristic；This energy conservation judges algorithm instruction and is used for sensor measurement and environmental parameter based on the received,
Calculate including the coefficient of energy dissipation of place situation of building, Power Saving Class and whether the energy saving evaluation result including the information such as exceeded
Data.
The program's code file that algorithm instruction is dynamically load is judged in the energy conservation of S7 application；The input of algorithm is collected
Wireless sensor environment parameter information and environmental parameter export as the Energy efficiency evaluation result data with third private key signature.Algorithm
The Energy efficiency evaluation result data of output is sent to energy consumption data server, carries out subsequent storage, inquiry, report and energy consumption
Early warning movement.
The transmission and dynamically load that algorithm instructs are judged by above-mentioned energy conservation, realize the extensive concurrent of energy conservation judge and is divided
Cloth trust computing prevents network node concentrations and flow congestion.
Embodiment 7
In above-described embodiment 6, the execution process of another embodiment of step S6 is as shown in fig. 7, comprises following steps：
S601, environment parameter acquire concentrator requests energy conservation to judge algorithm instruction to Energy efficiency evaluation server；
S602, Energy efficiency evaluation server receive request, and then returning to one to environment parameter acquisition concentrator has the first private key label
Algorithm instruction is judged in the energy conservation of name.
This embodiment the difference is that, energy conservation judge algorithm instruction from environment parameter acquire concentrator to Energy efficiency evaluation take
Business device obtains after initiating request.
What the embodiment of the present invention was announced is preferred embodiment, and however, it is not limited to this, the ordinary skill people of this field
Member, easily according to above-described embodiment, understands spirit of the invention, and make different amplification and variation, but as long as not departing from this
The spirit of invention, all within the scope of the present invention.
Claims (10)
1. the building energy conservation based on trust computing monitors, evaluates and early warning system, which is characterized in that including passing through wireless network phase
The wireless sensor and environment parameter of connection acquire concentrator, and the Energy efficiency evaluation being connected with environment parameter acquisition concentrator
Server and energy consumption data server；Wherein：
Environment parameter acquires concentrator, and inside includes being sequentially connected the radio network interface connect, sensor management unit, tidal data recovering
Unit, computer and Ethernet interface, the computer are also connected with entity authentication unit and energy consumption alarm unit；
Energy efficiency evaluation server, including sequentially connected DEU data encryption unit, Energy efficiency evaluation algorithm unit and entity authentication unit；
Energy consumption data server, including sequentially connected data authentication unit, energy consumption data storage unit and energy consumption report unit,
It is also connected with energy consumption reminding unit and data query unit in energy consumption data storage unit, is connected with energy consumption on data query unit
Prewarning unit；
Wireless sensor, metope temperature, roofing temperature, air themperature, fresh air volume, voltage and electricity for collecting environment,
Then environment parameter is transmitted to by wireless network and acquires concentrator；
Environment parameter acquires concentrator and is then delivered to Energy efficiency evaluation service for collecting the wireless sensor data in a region
Device carries out energy saving judge, and is transmitted to energy consumption data server and carries out data storage, inquiry and report；
Energy efficiency evaluation server, for receiving the sensor measurement transmitted from environment parameter acquisition concentrator and environment ginseng
Number executes energy conservation and judges operation, and energy saving evaluation result data are then returned to environment parameter acquisition concentrator；
Energy consumption data server, for from environment parameter acquisition concentrator environment parameter data and energy saving evaluation result data into
Row certification, storage, inquiry, report and energy consumption early warning are reminded.
2. the building energy conservation monitoring according to claim 1 based on trust computing, evaluation and early warning system, feature exist
In the wireless sensor includes microcomputer, and the sensor element that is connected with the microcomputer and wireless
Network interface.
3. the building energy conservation monitoring according to claim 1 based on trust computing, evaluation and early warning system, feature exist
In, the wireless sensor be metope temperature sensor, outdoor temperature sensor, indoor temperature transmitter, fresh air quantity sensor,
Any combination of voltage measuring apparatus and electrical quantity measurement arrangement.
4. the building energy conservation monitoring according to claim 1 based on trust computing, evaluation and early warning system, feature exist
In the environment parameter acquires to be recognized used by the entity authentication unit of concentrator and the entity authentication unit of Energy efficiency evaluation server
Card mechanism is rivest, shamir, adelman, establishes communication connection between concentrator and Energy efficiency evaluation server for acquiring in environment parameter
When, carry out two-way entity identities certification；Wherein：
It is stored with the first public key and the second private key on the entity authentication unit of environment parameter acquisition concentrator, Energy efficiency evaluation server
The first private key and the second public key are stored on entity authentication unit；First public key and the first private key constitute one group it is asymmetric plus
Close algorithm, the second public key and the second private key constitute one group of rivest, shamir, adelman.
5. the building energy conservation monitoring according to claim 4 based on trust computing, evaluation and early warning system, feature exist
In, the environment parameter acquire concentrator to before energy consumption data server transmissioning data, data to be transmitted need to be carried out it is asymmetric plus
It is close；Wherein：It is stored with third private key on the environment parameter acquisition concentrator, is deposited on the data authentication unit of energy consumption data server
Third public key is contained, the third private key and third public key constitute one group of rivest, shamir, adelman.
6. building energy conservation monitoring, evaluation and the early warning system described in -5 any one based on trust computing according to claim 1,
It is characterized in that, the Energy efficiency evaluation server has distributed load balancing characteristic, internal includes traffic monitoring unit,
For acquiring the network flow data for passing through Energy efficiency evaluation server；It is corresponding, building energy conservation monitoring, evaluation and early warning
System further includes load-balanced server, and the inside of the load-balanced server includes load dispatching unit, and with it is described
The load overload alarm unit and load condition Centralized Monitoring unit that load dispatching unit is connected；Load dispatching unit and energy conservation
The traffic monitoring unit of evaluation server is connected.
7. the building energy conservation based on trust computing monitors, evaluates and method for early warning, which is characterized in that include the following steps：
S1, the metope temperature of wireless sensor acquisition environment, roofing temperature, air themperature, fresh air volume, voltage and electricity letter
Then breath is transmitted to environment parameter by wireless network and acquires concentrator；
The environment parameter information collected is transmitted to Energy efficiency evaluation server by S2, environment parameter acquisition concentrator, is commented with carrying out energy conservation
Sentence operation；
S3, environment parameter acquisition concentrator receive the energy saving evaluation result data exported from Energy efficiency evaluation server；
S4, environment parameter acquisition concentrator are by the environment parameter information collected and energy saving evaluation result data transmission to energy consumption data service
Device；
S5, energy consumption data server receive environment parameter information and energy saving evaluation result data, stored, inquired, report and
Energy consumption early warning movement；
Wherein：
Transmit process described in step S2 further includes that the entity identities between environment parameter acquisition concentrator and Energy efficiency evaluation server are recognized
Card process, authentication mechanism used by the entity identities verification process are rivest, shamir, adelman；Wherein：Environment parameter acquisition collection
It is stored with the first public key and the second private key on middle device, the first private key and the second public key are stored on Energy efficiency evaluation server；It is described
First public key and the first private key constitute one group of rivest, shamir, adelman, and the second public key and the second private key constitute one group of asymmetric encryption
Algorithm；
Transmit process described in step S4 further includes the data authentication between environment parameter acquisition concentrator and energy consumption data server
Process, authentication mechanism used by the data authentication process are rivest, shamir, adelman；Wherein：The environment parameter acquisition is concentrated
It is stored with third private key on device, third public key, the third private key are stored on the data authentication unit of energy consumption data server
One group of rivest, shamir, adelman is constituted with third public key.
8. the building energy conservation monitoring according to claim 7 based on trust computing, evaluation and method for early warning, feature exist
In operation is judged in energy conservation described in step S2 has load-balancing function, and specifically, step S2 further includes following steps：
S201, Energy efficiency evaluation server receive the environment parameter information from environment parameter acquisition concentrator, are denoted as the first Energy efficiency evaluation
Server；
Internal traffic monitoring unit network flow data collected is transmitted to load by S202, each Energy efficiency evaluation server
The load dispatching unit of equalization server；
According to the network flow data of each Energy efficiency evaluation server collected, dynamic select is negative for S203, load-balanced server
Most light Energy efficiency evaluation server is carried, the second Energy efficiency evaluation server is denoted as；Then by the positioning of the second Energy efficiency evaluation server
Identification information broadcast notifies all Energy efficiency evaluation servers；
The received environment parameter information of institute is transmitted to the second Energy efficiency evaluation server by S204, the first Energy efficiency evaluation server；
S205, the second Energy efficiency evaluation server carry out energy conservation and judge operation, and export energy saving evaluation result data；
The energy saving evaluation result data of output by Ethernet, are transmitted to environment parameter and adopted by S206, the second Energy efficiency evaluation server
Collect concentrator.
9. the building energy conservation monitoring according to claim 7 based on trust computing, evaluation and method for early warning, feature exist
In including the following steps：
S1, the metope temperature of wireless sensor acquisition environment, roofing temperature, air themperature, fresh air volume, voltage and electricity letter
Then breath is transmitted to environment parameter by wireless network and acquires concentrator；
S6, Energy efficiency evaluation server send the energy conservation judge algorithm with the first private key signature to environment parameter acquisition concentrator and refer to
It enables；
S7, environment parameter acquisition concentrator using it is described energy conservation judge algorithm instruction, according to the wireless sensor data collected into
Operation is judged in row energy conservation, and output has the Energy efficiency evaluation result data of third private key signature；
S4, environment parameter acquisition concentrator are by the environment parameter information collected and energy saving evaluation result data transmission to energy consumption data service
Device；
S5, energy consumption data server receive environment parameter information and energy saving evaluation result data, stored, inquired, report and
Energy consumption early warning movement.
10. the building energy conservation according to claim 7-9 any one based on trust computing monitors, evaluates and the pre- police
Method, which is characterized in that step S6 includes the following steps：
S601, environment parameter acquire concentrator requests energy conservation to judge algorithm instruction to Energy efficiency evaluation server；
S602, Energy efficiency evaluation server receive request, and then returning to one to environment parameter acquisition concentrator has the first private key label
Algorithm instruction is judged in the energy conservation of name.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810774049.0A CN108924234B (en) | 2018-07-15 | 2018-07-15 | Building energy-saving monitoring, evaluating and early warning system and method based on trusted computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810774049.0A CN108924234B (en) | 2018-07-15 | 2018-07-15 | Building energy-saving monitoring, evaluating and early warning system and method based on trusted computing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108924234A true CN108924234A (en) | 2018-11-30 |
| CN108924234B CN108924234B (en) | 2021-09-21 |
Family
ID=64413933
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810774049.0A Active CN108924234B (en) | 2018-07-15 | 2018-07-15 | Building energy-saving monitoring, evaluating and early warning system and method based on trusted computing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108924234B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111178768A (en) * | 2019-12-31 | 2020-05-19 | 无锡军创工程技术有限公司 | Smart energy management system based on cloud platform |
| CN111460453A (en) * | 2019-01-22 | 2020-07-28 | 百度在线网络技术（北京）有限公司 | Machine learning training method, controller, device, server, terminal and medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201429177Y (en) * | 2009-05-14 | 2010-03-24 | 杭州光泽科技有限公司 | System for remote intelligent real-time monitoring and optimization evaluation of air conditioner energy conservation |
| US20100286937A1 (en) * | 2009-05-08 | 2010-11-11 | Jay Hedley | Building energy consumption analysis system |
| CN102072747A (en) * | 2011-01-27 | 2011-05-25 | 华中科技大学 | Thermal parameter field monitoring-based building group energy consumption monitoring system and method thereof |
| US20130073102A1 (en) * | 2009-10-15 | 2013-03-21 | Bayer Materialscience Ag | Method and system for monitoring and analyzing energy consumption in industrial, commercial or administrative buildings |
| CN103309292A (en) * | 2012-03-16 | 2013-09-18 | 江苏华斯软件科技有限公司 | Energy consumption monitoring device |
| CN103366256A (en) * | 2013-07-25 | 2013-10-23 | 武汉三力通信有限责任公司 | Energy consumption monitoring and evaluating system |
| CN103676794A (en) * | 2012-09-04 | 2014-03-26 | 上海杰之能信息科技有限公司 | Energy consumption monitoring method and energy consumption monitoring system |
| US20140103905A1 (en) * | 2011-02-17 | 2014-04-17 | Outsmart Power Systems, Llc | Energy monitoring device |
| US20150276829A1 (en) * | 2014-03-31 | 2015-10-01 | Panoramic Power Ltd. | System and Methods Thereof for Monitoring of Energy Consumption Cycles |
| CN205428174U (en) * | 2016-02-10 | 2016-08-03 | 天津城建大学 | Long -range energy consumption data acquisition system |
| CN106780161A (en) * | 2016-12-19 | 2017-05-31 | 上海置信节能环保有限公司 | A kind of building energy management system and data processing method |
-
2018
- 2018-07-15 CN CN201810774049.0A patent/CN108924234B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100286937A1 (en) * | 2009-05-08 | 2010-11-11 | Jay Hedley | Building energy consumption analysis system |
| CN201429177Y (en) * | 2009-05-14 | 2010-03-24 | 杭州光泽科技有限公司 | System for remote intelligent real-time monitoring and optimization evaluation of air conditioner energy conservation |
| US20130073102A1 (en) * | 2009-10-15 | 2013-03-21 | Bayer Materialscience Ag | Method and system for monitoring and analyzing energy consumption in industrial, commercial or administrative buildings |
| CN102072747A (en) * | 2011-01-27 | 2011-05-25 | 华中科技大学 | Thermal parameter field monitoring-based building group energy consumption monitoring system and method thereof |
| US20140103905A1 (en) * | 2011-02-17 | 2014-04-17 | Outsmart Power Systems, Llc | Energy monitoring device |
| CN103309292A (en) * | 2012-03-16 | 2013-09-18 | 江苏华斯软件科技有限公司 | Energy consumption monitoring device |
| CN103676794A (en) * | 2012-09-04 | 2014-03-26 | 上海杰之能信息科技有限公司 | Energy consumption monitoring method and energy consumption monitoring system |
| CN103366256A (en) * | 2013-07-25 | 2013-10-23 | 武汉三力通信有限责任公司 | Energy consumption monitoring and evaluating system |
| US20150276829A1 (en) * | 2014-03-31 | 2015-10-01 | Panoramic Power Ltd. | System and Methods Thereof for Monitoring of Energy Consumption Cycles |
| CN205428174U (en) * | 2016-02-10 | 2016-08-03 | 天津城建大学 | Long -range energy consumption data acquisition system |
| CN106780161A (en) * | 2016-12-19 | 2017-05-31 | 上海置信节能环保有限公司 | A kind of building energy management system and data processing method |
Non-Patent Citations (5)
| Title |
|---|
| MAHAMMAD A. HANNAN等: ""A Review of Internet of Energy Based Building Energy Management Systems: Issues and Recommendations"", 《IEEE ACCESS》 * |
| 姜秀柱等: "《计算机网络》", 31 July 2010, 中国矿业大学出版社 * |
| 孙列 等: ""支持能耗分析的物业管理信息系统"", 《电力与能源》 * |
| 李志勇等: "《助理跨境电子商务师》", 31 October 2015, 北京理工大学出版社 * |
| 杨静，张天长: "《数据加密解密技术》", 31 October 2017, 武汉大学出版社 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111460453A (en) * | 2019-01-22 | 2020-07-28 | 百度在线网络技术（北京）有限公司 | Machine learning training method, controller, device, server, terminal and medium |
| CN111460453B (en) * | 2019-01-22 | 2023-12-12 | 百度在线网络技术（北京）有限公司 | Machine learning training method, controller, device, server, terminal and medium |
| CN111178768A (en) * | 2019-12-31 | 2020-05-19 | 无锡军创工程技术有限公司 | Smart energy management system based on cloud platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108924234B (en) | 2021-09-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN205428174U (en) | Long -range energy consumption data acquisition system | |
| CN101893889B (en) | Energy-saving metering and control system based on technology of Internet of things | |
| CN206002869U (en) | A kind of intelligent domestic system based on wireless sensor network | |
| US20110153107A1 (en) | Apparatus and method for smart energy management by controlling power consumption | |
| CN100428720C (en) | ZigCcc supported method for collecting data of electric energy and device for measuring electric energy | |
| Rodriguez et al. | Wireless sensor network for data-center environmental monitoring | |
| Li et al. | Research on water meter reading system based on LoRa communication | |
| KR101068862B1 (en) | Demand-based real time energy monitoring and management system | |
| CN104571034B (en) | Intelligent management and control equipment and control method thereof | |
| CN109391923B (en) | Building energy consumption management method and system based on 5G architecture | |
| CN102967004A (en) | Temperature area method based heat metering allocation device and allocation method | |
| CN201623860U (en) | Wireless sensor network and water quality monitoring system based on sensor network | |
| CN110910183A (en) | Intelligent community instrument data rapid processing system and method based on edge calculation | |
| CN108924234A (en) | Building energy conservation monitoring, evaluation and early warning system and method based on trust computing | |
| Hong et al. | Cloud computing-based building energy management system with zigbee sensor network | |
| CN103336493A (en) | An energy management system | |
| CN108600967A (en) | Preassembled transformer station wireless sensor network measure and control device based on block chain | |
| CN207833300U (en) | A kind of building site water power energy-saving monitoring and wireless remote control system | |
| CN102109394B (en) | Multi-building united temperature area method heat metering system based on wireless temperature acquisition | |
| CN102881132A (en) | Remote wireless meter reading and monitoring system through interconnection of Internet and ad hoc multi-hop network | |
| CN105404248A (en) | Home equipment operation monitoring system based on Internet of Things (IOT) | |
| CN112512006B (en) | Outdoor communication monitoring device based on LORA technology and application method thereof | |
| Dehalwar et al. | Multi-agent based public key infrastructure for smart grid | |
| JP6591968B2 (en) | In-house management of home area network | |
| KR101766888B1 (en) | Smart meter and method for operating thereof |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210903 Address after: 518055 rooms 2201 to 2204, block B, building 7, Shenzhen International Innovation Valley, Dashi 1st Road, Xili community, Xili street, Nanshan District, Shenzhen, Guangdong Applicant after: SHENZHEN JUNYE BUILDING TECHNOLOGY Co.,Ltd. Address before: Room 4035, 3rd floor, building 3, zone a, smart Industrial Park, high tech Economic Zone, Jianhu County, Yancheng City, Jiangsu Province 224700 Applicant before: JIANHU LIANZHONG WISDOM TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |