CN109190836A - Public building energy resource system intelligently manages cloud - Google Patents
Public building energy resource system intelligently manages cloud Download PDFInfo
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- CN109190836A CN109190836A CN201811080550.3A CN201811080550A CN109190836A CN 109190836 A CN109190836 A CN 109190836A CN 201811080550 A CN201811080550 A CN 201811080550A CN 109190836 A CN109190836 A CN 109190836A
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- 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
Abstract
The present invention relates to a kind of public building energy resource systems intelligently to manage cloud comprising: data acquisition subsystem, real time monitoring subsystem, data visualization sub-systems, running optimizatin subsystem, efficiency diagnostic subsystem, comprehensive management subsystem.It is good with scalability, be conducive to the communications protocol of integrated polymorphic type multi-energy data, efficiency diagnosis can be carried out to energy resource system using energy resource system physical modeling, the public building energy management system of running optimizatin can be carried out to energy resource system using artificial intelligence and energy resource system emulation technology.
Description
Technical field
The present invention relates to a kind of public building energy management systems, and in particular to a kind of public building energy resource system intelligence pipe
Control cloud.
Background technique
The function of BAS has obtained very big promotion in last decade, and increases corresponding management function,
The system of this automatic management building is known as building management system.Currently, monitoring of tools, equipment management, energy consumption monitoring and
The function of energy management is combined into a system, referred to as building energy management system.Building energy management system is with energy management
It is target with energy saving decision, acquires the operation information data relevant to energy consumption of device systems in real time, pass through analysis, control and pipe
The means such as reason, optimization improve the efficiency of operation management with can and eliminate energy waste.
Existing building energy managing and control system generally using by acquisition energy measurement terminal energy consumption data, supplies the energy
It answers, distribute and consumption is monitored, grasp Energy consumption in real time, understand energy consumption structure, calculate and analyze various equipment energy
Consumption standard monitors each energy system operation abnormal conditions.It is by WEB that various energy consumption daily paper reports, various energy consumption datas is bent
Line and whole energy consumption are distributed to related management and operation personnel, complete monitoring and energy resource system to enterprise energy system
Monitoring, analysis and the management of condition diagnosing.
But existing building energy managing and control system has the following problems: 1) in acquisition energy measurement terminal energy consumption data
When, using the communication protocol of professional standard fixed format, agreement poor expandability is unfavorable for the multi-energy data of integrated polymorphic type.
This agreement is chiefly used in field bus device acquisition, is not suitable for internet communication mechanism.In terms of energy resource system control, usually
It, can not be with accurately controlling reality all using manual-remote control operation equipment start-stop or simple logic control (temperature difference, pressure difference etc.)
The supply-demand mode of existing end and source.Mark can not be analyzed using equipment and system energy efficiency in terms of energy resource system efficiency diagnosis
The potential operation problem of energy resource system；2) conventional " efficiency diagnosis " only keeps a close watch on " energy consumption " index, therefore can not really find to lead
Cause the deep-seated problem of low-energy-efficiency；3) the recommendation operating parameter that conventional running optimizatin technology is mostly provided using design specification is base
It is quasi-, it is difficult to adapt to the complicated variation of operating condition, therefore can not improving energy efficiency space to greatest extent.
Accordingly, it is desirable to provide a kind of have scalability good, be conducive to the communications protocol of integrated polymorphic type multi-energy data, energy
Efficiency diagnosis enough is carried out to energy resource system using energy resource system physical modeling, skill can be emulated using artificial intelligence and energy resource system
Art carries out the public building energy management system of running optimizatin to energy resource system.
Summary of the invention
The technical problem to be solved by the present invention is to existing public building energy resource systems, such as: 1)
When acquiring energy measurement terminal energy consumption data, using the communication protocol of professional standard fixed format, agreement poor expandability, no
Conducive to the multi-energy data of integrated polymorphic type.This agreement is chiefly used in field bus device acquisition, is not suitable for internet communication machine
System.In terms of energy resource system control, be generally used manual-remote control operation equipment start-stop or simple logic control (temperature difference,
Pressure difference etc.), the supply-demand mode of end and source can not be realized with accurately controlling.It uses and sets in terms of energy resource system efficiency diagnosis
Standby and system energy efficiency can not analyze the potential operation problem of energy resource system to mark.2) conventional " efficiency diagnosis " only keeps a close watch on " energy
Consumption " index, therefore can not really find the deep-seated problem for leading to low-energy-efficiency.3) conventional running optimizatin technology is mostly to design rule
On the basis of the recommendation operating parameter that model provides, it is difficult to adapt to the complicated variation of operating condition, therefore energy can not be promoted to greatest extent
Imitate space etc..
The technical scheme adopted by the invention to solve the technical problem is that:
A kind of intelligent control cloud of public building energy resource system comprising: data acquisition subsystem, real time monitoring subsystem,
Data visualization sub-systems, running optimizatin subsystem, efficiency diagnostic subsystem, comprehensive management subsystem；Data visualization subsystem
System, the setting of running optimizatin subsystem, efficiency diagnostic subsystem are in cloud platform part, data acquisition subsystem, real time monitoring subsystem
System be arranged network portion between local platform, local platform and cloud platform part using MQTT protocol realization communication gate with
Data communication between intelligence control cloud.
Further, data acquisition subsystem includes advance data acquisition software, communication gate, measuring instrument.
Further, real time monitoring subsystem includes real-time monitoring system, programmable controller, sensor.
Further, data visualization sub-systems include energy resource system energy consumption monitoring module and energy system operation monitoring mould
Block.
Further, efficiency diagnostic subsystem includes energy resource system model module and efficiency diagnostic module.Efficiency diagnosis
Subsystem is connected with data acquisition subsystem, data visualization sub-systems and running optimizatin subsystem；Efficiency diagnostic subsystem leads to
The energy consumption data for receiving data acquisition subsystem real-time measurement is crossed, above-mentioned real time energy consumption data are imported into energy resource system model module
Energy resource system model in, carry out calculate and discriminatory analysis；Its efficiency etc. that the related energy is carried out by efficiency diagnostic module
Grade, and automatically generate diagnostic analysis report.
Further, running optimizatin subsystem includes optimization algorithm module and energy resource system emulation module；The running optimizatin
Subsystem is connect with data visualization sub-systems, efficiency diagnostic subsystem and data acquisition subsystem.
Further, running optimizatin subsystem includes optimization algorithm module and energy resource system emulation module.
The efficiency diagnostic method of cloud is intelligently managed based on the public building energy resource system, this method comprises:
S01 to it is each with can equipment model, model include input variable, output variable, important operating parameter threshold value,
Efficiency characteristic；
S02 is on the basis of to equipment modeling, to each sub-energy resource system modelling；
S03 calculates energy efficiency index, and energy efficiency index is equal to sub-energy resource system during output a certain form energy, corresponding same
One quantum of output, theoretically accessible minimum energy consumption and the ratio for actually occurring energy consumption.
S04 determines that sub-energy resource system is in " cross and supply ", " owing to supply ", " balance " or " exception " four shapes according to energy efficiency index
One of state, and to causing inefficient problem to be classified, and the sub-energy resource system physical model based on foundation, automatically generate diagnosis
Report.
The method that the running optimizatin of cloud is intelligently managed based on the public building energy resource system, this method comprises:
S01 models the running optimizatin problem of each sub-energy resource system respectively, has combed optimization aim, determines basis number
According to；
S02 cleans data using the methods of normalization, factorization, missing values processing and removal synteny, and makes
Notable feature is filtered out with " related coefficient " method, is trained using regression algorithm, tuning is subject to model and algorithm；
S03 carries out load prediction based on gray model and Kalman smoother.
According to the method for the running optimizatin, S03 carried out based on gray model and Kalman smoother load prediction into
One step includes:
S031 eliminates the periodic component of load sequence using frequency domain decomposition, establishes the gray model of sequence；
S032 is based on gray model, using the cumulative sequence of each sub-energy resource system loading as state, energy resource system total load
Cumulative sequence as observation, establish linear discrete-time stochastic systems model, Kalman smoother utilized to calculate each sub-energy resource system
The optimal estimation value of the cumulative sequence of load；
S033, which finally passes through regressive and restores and add cycle component, obtains the predicted value of each sub-energy resource system loading；
S034Kalman smoother using high-accuracy system loading prediction result to sub- energy resource system load prediction into
Row adjustment reduces prediction error.
Public building energy resource system provided by the invention intelligently manages cloud, has the advantages that with scalability
It is good, be conducive to the communications protocol of integrated polymorphic type multi-energy data, energy resource system can be carried out using energy resource system physical modeling
Efficiency diagnosis can carry out the public building energy of running optimizatin using artificial intelligence and energy resource system emulation technology to energy resource system
Management system.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that public building energy resource system provided by the invention intelligently manages cloud.
Fig. 2 is the communications rack composition that public building energy resource system provided by the invention intelligently manages cloud.
Specific embodiment
The present invention is described in more detail below with reference to accompanying drawings, which show the preferred embodiment of the present invention,
It should be understood that those skilled in the art can modify invention described herein and still realize beneficial effects of the present invention.Cause
This, following description should be understood as the widely known of those skilled in the art, and be not intended as limitation of the present invention.
For clarity, not describing whole features of practical embodiments.In the following description, it is not described in detail well known function
And structure, because they can make the present invention chaotic due to unnecessary details.It will be understood that opening in any practical embodiments
In hair, it is necessary to make a large amount of implementation details to realize the specific objective of developer.
To be clearer and more comprehensible the purpose of the present invention, feature, a specific embodiment of the invention is made with reference to the accompanying drawing
Further instruction.It should be noted that attached drawing is all made of very simplified form and using non-accurate ratio, only with one
Purpose that is convenient, clearly aiding in illustrating the embodiment of the present invention.
As shown in Figure 1, public building energy resource system provided by the invention intelligently manages cloud, the public building energy resource system intelligence
Cloud can be managed to be made of six subsystems, comprising: data acquisition subsystem, real time monitoring subsystem, data visualization sub-systems,
Running optimizatin subsystem, efficiency diagnostic subsystem, comprehensive management subsystem.
Wherein, data acquisition subsystem includes advance data acquisition software, communication gate, measuring instrument.The measuring instrument
It can be ammeter, hotlist and water meter.The data acquisition subsystem measures real time energy consumption data by measuring instrument, then passes through
Above-mentioned energy consumption data is sent advance data acquisition software by communication network management.The advance data acquisition software and real time monitoring subsystem
Real-time monitoring system communication connection in system realizes data communication, and then realizes the real time monitoring to energy consumption data.Data are adopted
Subsystem has been also connected with the energy resource system energy consumption monitoring module and energy system operation monitoring modular of data visualization sub-systems
And the energy resource system model module and system diagnostics module of efficiency diagnostic subsystem, so that real time energy consumption data are uploaded to
It states in functional module, realizes the visualizing monitor to energy consumption data and diagnosis.In addition, data acquisition subsystem is also excellent with operation
Optimization algorithm module and energy resource system emulation module communication connection in sub-systems, to realize the optimization control of system energy
System.
Monitoring subsystem in real time includes real-time monitoring system, programmable controller.Preferably, the real time monitoring subsystem is also
It may include sensor, which can be that the temperature, pressure and flow being mounted in electric power, heating power or Hydraulic Power System pass
Sensor.Control feedback data is provided to control corresponding electric power, heating power or Hydraulic Power System for programmable controller, is realized more
The PLC technology of optimization.The real-time monitoring system of above-mentioned real time monitoring subsystem is excellent by data acquisition subsystem and operation
Optimization algorithm module connection in sub-systems, thus obtaining running Optimization data, and pass through programmable controller pair
The energy consumption of corresponding electric power, heating power or Hydraulic Power System optimizes control.
Data visualization sub-systems include energy resource system energy consumption monitoring module and energy system operation monitoring modular.Above-mentioned two
A module receives the real time energy consumption data of data acquisition subsystem respectively, by visualization processing, with realizing real time energy consumption data
It visualizes, provides intuitive Visualization Model for monitoring.
Efficiency diagnostic subsystem includes energy resource system model module and efficiency diagnostic module.The efficiency diagnostic subsystem and number
It is connected according to acquisition subsystem, data visualization sub-systems with running optimizatin subsystem.Efficiency diagnostic subsystem, by receiving data
Above-mentioned real time energy consumption data are imported the energy resource system of energy resource system model module by the energy consumption data of acquisition subsystem real-time measurement
In model, calculating and discriminatory analysis are carried out.Its efficiency grade that the related energy is carried out by efficiency diagnostic module, and give birth to automatically
It is reported at diagnostic analysis.
Unlike the prior art, the efficiency that public building energy resource system provided by the invention intelligently manages cloud diagnoses subsystem
Efficiency diagnosis is deep among each sub-energy resource system by system, not only keeps a close watch on " energy consumption " this index for coming to the surface.Due to each
Sub-energy resource system is all by being constituted with energy equipment, we are modeled to each with energy equipment first, and model includes that input becomes
Amount, output variable, important operating parameter threshold value, efficiency characteristic etc..On the basis of to equipment modeling, to each sub-energy resource
System modelling is abstracted its operative mechanism in model.For convenient for energy efficiency evaluation, we have proposed the concepts of energy efficiency index:
Sub-energy resource system is during output a certain form energy, corresponding same quantum of output, theoretically accessible minimum energy consumption
With the ratio for actually occurring energy consumption.The efficiency diagnosis system that we construct is from " cross for ", " owe for ", " balance ", " exception "
Four dimensions are to causing inefficient problem to be classified, and the sub-energy resource system physical model based on foundation, develop automatic life
At diagnosis report.
Running optimizatin subsystem includes optimization algorithm module and energy resource system emulation module.The running optimizatin subsystem and number
It is connected according to visual subsystem, efficiency diagnostic subsystem with data acquisition subsystem.The public building energy provided by the invention system
The running optimizatin technology of system intelligence control cloud.The running optimizatin technology is based on machine learning and data mining technology.To each sub- energy
The running optimizatin problem of source system is modeled respectively, has combed optimization aim, it is determined that basic data.Using normalization,
The methods of factorization, missing values processing and removal synteny clean data, and are filtered out using " related coefficient " method
Notable feature.It is trained using regression algorithm, tuning is subject to model and algorithm by maturation method.
The target of running optimizatin is to find each optimal operating status of sub-energy resource system effectiveness, we have been applied to machine
Study and data mining technology.The running optimizatin problem of each sub-energy resource system is modeled respectively first, with cold station subsystem
For, optimization aim is determined as finding output cooling capacity and the maximum operating status of subsystem total power consumption ratio.Further, really
It is related with optimization problem which data has been determined.For cold station, data include: ambient humidity, dry-bulb temperature and wet-bulb temperature；End
Hold temperature and humidity；Each branch pressure difference, supply water temperature and semen donors etc..In the cleaning and Feature Selection link of data, Wo Menxuan
Normalization, factorization, missing values processing and removal 4 kinds of cleaning methods of synteny have been selected, and have been screened by " related coefficient " method
Notable feature out.Model training then uses regression algorithm, is diagnosed by " over-fitting " and " poor fitting " to model, and do
It adjusts out.In order to keep result more excellent, corresponding adjustment is had also been made to algorithm parameter.It is finally error analysis, is missed by observation
Difference sample, analytical error Producing reason determine problem source.
Load prediction is then carried out based on gray model and Kalman smoother.Load is eliminated first with frequency domain decomposition
The periodic component of sequence establishes the gray model of sequence；Total load predicted value is obtained using energy resource system total load prediction technique.
It is then based on gray model, using the cumulative sequence of each sub-energy resource system loading as state, the cumulative sequence of energy resource system total load
Column establish linear discrete-time stochastic systems model as observation, and it is cumulative to calculate each sub-energy resource system loading using Kalman smoother
The optimal estimation value of sequence finally restores by regressive and adds cycle component and obtain the prediction of each sub-energy resource system loading
Value.Kalman smoother is adjusted sub- energy resource system load prediction using the system loading prediction result of high-accuracy, drop
Low prediction error.
Preferably, public building energy resource system provided by the present application intelligently manages cloud, can further include integrated pipe
Manage subsystem.The comprehensive management subsystem includes equipment management and operation management system, is used to control to the public building energy
The management and operation, maintenance management of equipment in system intelligence managing and control system.The setting of comprehensive management subsystem improves public build
Build the level that energy resource system intelligently manages equipment operation and the maintenance management control of cloud system.
Fig. 2 illustrates the network architecture that public building energy resource system provided by the present application intelligently manages cloud system.This is public
Intelligently control cloud system includes local monitor and cloud platform two parts to building energy system.Pass through between local platform and cloud platform
Network is attached.The network can be wireless network or cable network.The cloud platform part is provided with data visualization beggar
Comprehensive management subsystem can also be arranged in system, running optimizatin subsystem, efficiency diagnostic subsystem, preferably cloud platform part.
Above-mentioned subsystem passes through network connection by Cloud Server and local monitor part.
The detection part and connect that local monitor is monitored including the use of measuring instruments such as ammeter, water meter and hot/cold tables
Managed the data of cloud part and detection part intelligently by public building energy resource system to realize the local prison in real time of monitoring
Control system.The local real time monitoring apparatus further controls programmable controller, and then controls the temperature of energy resource system, pressure
Power, flow and/or valve.Wherein, detection part and real-time monitoring system pass through communication gate respectively and connect with network portion.
The network portion utilizes data communication between MQTT protocol realization communication gate and intelligence control cloud.Above-mentioned MQTT
Agreement be it is limited for a large amount of computing capabilitys, and it is logical in low bandwidth, the distance sensor of insecure network and control equipment to work
The agreement of news and design uses publish/subscribe massage pattern, provides one-to-many news release, releases application program coupling；
Message transmission to load contents shielding；Support three kinds of news release service quality；It is special by Last Will and Testament
Property circularizes all the parties concerned the mechanism of client abnormal interrupt.It enables to network scalability good by using MQTT agreement, has
Conducive to the communications protocol of integrated polymorphic type multi-energy data.
Public building energy resource system provided by the invention intelligently manages cloud, has the advantages that with scalability
It is good, be conducive to the communications protocol of integrated polymorphic type multi-energy data, energy resource system can be carried out using energy resource system physical modeling
Efficiency diagnosis can carry out the public building energy of running optimizatin using artificial intelligence and energy resource system emulation technology to energy resource system
Management system.
The basic principles, main features and advantages of the invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe originals of the invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (10)
1. a kind of public building energy resource system intelligently manages cloud, it is characterised in that: comprising: data acquisition subsystem, in real time prison
Control subsystem, data visualization sub-systems, running optimizatin subsystem, efficiency diagnostic subsystem, comprehensive management subsystem；Data can
Depending on sub-systems, running optimizatin subsystem, the setting of efficiency diagnostic subsystem in cloud platform part, data acquisition subsystem, in real time
The network portion that Monitor And Control Subsystem is arranged between local platform, local platform and cloud platform part is logical using MQTT protocol realization
Believe data communication between gateway and intelligence control cloud.
2. public building energy resource system according to claim 1 intelligently manages cloud, it is characterised in that: data acquisition subsystem
Including advance data acquisition software, communication gate, measuring instrument.
3. public building energy resource system according to claim 1 intelligently manages cloud, it is characterised in that: real time monitoring subsystem
Including real-time monitoring system, programmable controller, sensor.
4. public building energy resource system according to claim 1 intelligently manages cloud, it is characterised in that: data visualization subsystem
System includes energy resource system energy consumption monitoring module and energy system operation monitoring modular.
5. public building energy resource system according to claim 1 intelligently manages cloud, it is characterised in that: efficiency diagnostic subsystem
Including energy resource system model module and efficiency diagnostic module；The efficiency diagnostic subsystem and data acquisition subsystem, data visualization
Sub-systems are connected with running optimizatin subsystem；Efficiency diagnostic subsystem, by receiving data acquisition subsystem real-time measurement
Above-mentioned real time energy consumption data are imported in the energy resource system model of energy resource system model module, are calculated and sentenced by energy consumption data
Disconnected analysis；Its efficiency grade that the related energy is carried out by efficiency diagnostic module, and automatically generate diagnostic analysis report.
6. public building energy resource system according to claim 1 intelligently manages cloud, it is characterised in that: running optimizatin subsystem
Including optimization algorithm module and energy resource system emulation module；The running optimizatin subsystem is examined with data visualization sub-systems, efficiency
Disconnected subsystem is connected with data acquisition subsystem.
7. public building energy resource system according to claim 1 intelligently manages cloud, it is characterised in that: running optimizatin subsystem
Including optimization algorithm module and energy resource system emulation module.
8. intelligently managing the efficiency diagnostic method of cloud based on public building energy resource system described in claim 1, it is characterised in that
This method comprises:
S01 is modeled to each with energy equipment, and model includes input variable, output variable, important operating parameter threshold value, efficiency
Characteristic curve；
S02 is on the basis of to equipment modeling, to each sub-energy resource system modelling；
S03 calculates energy efficiency index, and energy efficiency index is equal to sub-energy resource system during output a certain form energy, corresponding same production
Output, theoretically accessible minimum energy consumption and the ratio for actually occurring energy consumption；
S04 according to energy efficiency index, determine sub-energy resource system be in " cross for ", " owe for ", " balance " or " exception " four states it
One, and to causing inefficient problem to be classified, and the sub-energy resource system physical model based on foundation, automatically generate diagnosis report
It accuses.
9. the method for intelligently being managed the running optimizatin of cloud based on public building energy resource system described in claim 1, feature are existed
In this method comprises:
S01 models the running optimizatin problem of each sub-energy resource system respectively, has combed optimization aim, has determined basic data；
S02 cleans data using the methods of normalization, factorization, missing values processing and removal synteny, and uses " phase
" method filters out notable feature to relationship number, is trained using regression algorithm, is subject to tuning to model and algorithm；
S03 carries out load prediction based on gray model and Kalman smoother.
10. the method for running optimizatin according to claim 9, it is characterised in that: S03 is based on gray model and Kalman is smooth
Device further comprises to carry out load prediction:
S031 eliminates the periodic component of load sequence using frequency domain decomposition, establishes the gray model of sequence；
S032 is based on gray model, and using the cumulative sequence of each sub-energy resource system loading as state, energy resource system total load tires out
Add sequence as observation, establish linear discrete-time stochastic systems model, calculates each sub-energy resource system loading using Kalman smoother
The optimal estimation value of cumulative sequence；
S033, which finally passes through regressive and restores and add cycle component, obtains the predicted value of each sub-energy resource system loading；
S034Kalman smoother adjusts sub- energy resource system load prediction using the system loading prediction result of high-accuracy
It is whole, reduce prediction error.
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| CN110865615A (en) * | 2019-11-05 | 2020-03-06 | 深圳供电局有限公司 | Energy analysis method and system |
| CN111222779A (en) * | 2019-12-31 | 2020-06-02 | 上海申铁信息工程有限公司 | Energy efficiency calendar system of central air-conditioning cold station and data processing method |
| CN112628881A (en) * | 2020-12-24 | 2021-04-09 | 春意环境科技有限公司 | Intelligent air conditioner maintenance and transportation system |
| CN113111094A (en) * | 2021-03-31 | 2021-07-13 | 湖南建工德顺电子科技有限公司 | Wisdom building cloud maincenter management and control platform |
| CN114143341A (en) * | 2021-11-23 | 2022-03-04 | 上海电力大学 | Modern building data collection platform for intelligent energy |
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| CN102193528A (en) * | 2010-03-05 | 2011-09-21 | 朗德华信（北京）自控技术有限公司 | Cloud computing based energy management control system and method |
| CN103679304A (en) * | 2012-08-31 | 2014-03-26 | 上海达希能源科技有限公司 | Building energy management system based on cloud services |
| CN105046595A (en) * | 2015-07-24 | 2015-11-11 | 武汉泰康翔科技有限公司 | Internet-of-things technology based energy efficiency assessment and diagnosis cloud system and method |
| CN105373971A (en) * | 2015-12-02 | 2016-03-02 | 国家电网公司 | Method of building energy efficiency management on the basis of big data |
| CN108491969A (en) * | 2018-03-16 | 2018-09-04 | 国家电网公司 | Spatial Load Forecasting model building method based on big data |
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| CN112628881A (en) * | 2020-12-24 | 2021-04-09 | 春意环境科技有限公司 | Intelligent air conditioner maintenance and transportation system |
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| CN114143341A (en) * | 2021-11-23 | 2022-03-04 | 上海电力大学 | Modern building data collection platform for intelligent energy |
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