WO2017042783A1 - System for controlling the electrical energy for a group of buildings - Google Patents

System for controlling the electrical energy for a group of buildings Download PDF

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Publication number
WO2017042783A1
WO2017042783A1 PCT/IB2016/056399 IB2016056399W WO2017042783A1 WO 2017042783 A1 WO2017042783 A1 WO 2017042783A1 IB 2016056399 W IB2016056399 W IB 2016056399W WO 2017042783 A1 WO2017042783 A1 WO 2017042783A1
Authority
WO
WIPO (PCT)
Prior art keywords
buildings
group
controlling
electrical energy
control unit
Prior art date
Application number
PCT/IB2016/056399
Other languages
French (fr)
Inventor
Ignacio CHANG
Edilberto HALL
Nicholas BELIZ
Oscar BARRIA
Original Assignee
Universidad Tecnológica De Panamá
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Universidad Tecnológica De Panamá filed Critical Universidad Tecnológica De Panamá
Publication of WO2017042783A1 publication Critical patent/WO2017042783A1/en

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • H02J3/0012—Contingency detection
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/10—The network having a local or delimited stationary reach
    • H02J2310/12—The local stationary network supplying a household or a building
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Definitions

  • the invention belongs to the field of intelligent electrical energy saving and controlling models for a group of buildings.
  • the patent CN201925249U describes a device for saving energy and guaranteeing high efficiency, the base thereof being an intelligent control valve. This device contains a set of components. While in CN 101458560A, a computational method for saving energy is applied.
  • patent CN202040938U makes known a system for diagnosing the conservation of the energy of equipment monitoring and consuming energy of the air-conditioning unit.
  • CN101126926A provides information on a system for controlling intelligent buildings for environmental protection and with the aim of saving energy and consisting of a module for acquiring information, a power supply module, a data processing module, a control module and a memory module.
  • CN201266319Y is a system based on an Ethernet network.
  • This system comprises monitoring energy data sent by a device placed in a lower distribution layer, a set of data for managing data located in an intermediate layer for carrying out the merging of information, data mining and regional communication and the management of the lower layer and an actuation device positioned in an upper layer for carrying out the process for optimizing data and downloading an optimization scheme, the devices of the three layers are connected via Ethernet.
  • a system for controlling the electrical energy for a group of buildings is object of the present invention.
  • the proposed system includes sensors distributed in the buildings to be controlled which monitor in real time different variables associated with the electrical system such as power consumed.
  • sensors distributed in the buildings to be controlled which monitor in real time different variables associated with the electrical system such as power consumed.
  • the model set out takes as the input the database of various sensors which may be in a network for monitoring.
  • the anomalous changes in the electrical system are thus registered and it is possible to generate a response (or alert) in accordance with current knowledge (from assessments, sequences of erroneous data which was found during the execution thereof or learning in order to generate them). If there is no solution in the system for addressing the anomaly, the system aggregates the solutions presented in said cases (automatic learning).
  • the model to be followed preferably complies with the ISO 50001 standard which regulates an energy management system.
  • the model is adaptable, adjustable (it learns and makes corrections), flexible (it incorporates mechanisms and IT tools) and dynamic (because it is in a continuous process of change) with the system, facilitating the replicability thereof and enabling its operation not to be affected by the acquisition of any component, or preventing said component from not being able to connect to the model.
  • FIG. 1 is a general view of the block diagram of the control system used for the operation of the system.
  • FIG. 2 is a functional block diagram of the control system. DETAILED DESCRIPTION OF THE INVENTION
  • FIG. 1 corresponds to a block diagram of the system where a reference data unit 1 can be seen which contains the results of the energy assessment with capacity to modify said results if the system itself so determines.
  • the brain of the system which contains the control principle which is applied is represented in the control unit 2, in this case it preferably applies a technique within the scope of artificial intelligence.
  • the actuators 3 contain the mechanisms for correcting errors or responding to an alert which has been triggered. If the system does not have the capacity to correct it, it sends a message to the administrator of the system by various means so that it is corrected and thereby guarantees the desired values.
  • FIG. 1 and 2 illustrate the group of buildings 4 which are controlled by the parameters defined together with the administration of the management system.
  • the measuring which may be from simple sensors 5 to a SCADA system.
  • a model for the intelligent saving and controlling of electrical energy is established for a group of buildings 4 based on systems for monitoring electrical consumption, taking as the initial element the measuring and obtaining of information of the energy consumptions which are produced in the complete installation, storing historical data and continuing to monitor critical variables in the system. All this supplies the databases for obtaining a continuous improvement in the areas of quality, environment and security.
  • the concept of intelligent control is currently applied for improving the use of energy, maintaining a periodic prognostic of the energy use with the aim of monitoring and improving its efficiency, allowing visibility for planning improvements in the scope of energy saving. It has a network of sensors which include the method for detecting the sources of error, distributed around a specified destination address. It also has a modular structure configuration and the use of intelligent agents.
  • An objective of the present embodiment is to apply artificial intelligence to an energy management system composed of various modular units for improving the energy efficiency and saving of a group of buildings including those located in different areas of a country.
  • Another objective is to develop a control principle which allows the system to make decisions when there is a determined anomaly or alert.
  • connection to an interface 6 allows the data from the sensors 5 to be displayed.
  • These data from the monitoring process may be stored in a database 7 and the consumption data could be presented in numeric data or histograms which allows the variables to be displayed; the data may be from the voltages to the power by means of graphics allowing the historic progression of each one of the variables to be displayed on the interface 6.
  • It is an autonomous model with automatic and optimized decision making, it integrates components such as sensors 5 and actuators 3 which carry out the decision making and thus efficient control is generated. It can make use of data mining and artificial intelligence to define adaptable, adjustable, flexible and dynamic mechanisms.
  • FIG. 2 illustrates the different elements of the system for controlling electric energy for a group of buildings.
  • a series of sensors 5 distributed in a plurality of buildings 4 can be seen.
  • Each sensor 5 measures and monitors in real time one or various variables associated with the electrical system of the building in which it is installed.
  • the information obtained is managed by a control unit 2 which compares the monitored variables of the electrical system of various buildings 4 with reference variables 1 that are already predefined.
  • the data obtained may be stored in a database 7 for the subsequent analysis thereof or to recover them in case this is required. Based on the result of the comparison, said control unit 2 generates a response signal.
  • various actuators 3 distributed in the buildings 4 may perform an action on the electrical installation of the building to adjust the functioning to established criteria, preferably to achieve intelligent management of the buildings with respect to energy efficiency and saving or to address possible anomalies detected in a robust manner.
  • the interface 6 allows the measurements taken and the responses generated to be displayed.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A system for controlling the electrical energy for a group of buildings with a plurality of sensors (5) distributed in buildings (4) to monitor in real time variables associated with the electrical system of each building (4). It has a control unit (2) to compare the monitored variables of the electrical system of the buildings (4) with reference variables (1) and also generates a response signal based on the result of the comparison. Actuators (3) distributed in the buildings (4) perform an action on the electrical installation of the building based on the response signal generated by the control unit (2).

Description

SYSTEM FOR CONTROLLING THE ELECTRICAL ENERGY FOR A GROUP OF
BUILDINGS
FIELD OF THE INVENTION
The invention belongs to the field of intelligent electrical energy saving and controlling models for a group of buildings.
BACKGROUND OF THE INVENTION
At present, the increase of energy demand, as well as the current short and medium-term predictions show a series of problems that should be considered: the impact on the environment, the volatility of the prices of fossil fuels, the depletion of the same and the lack of an energy model, leads to work on solutions which may make compatible the needs of current and future energy, with the environment and regional economies.
The patent CN201925249U describes a device for saving energy and guaranteeing high efficiency, the base thereof being an intelligent control valve. This device contains a set of components. While in CN 101458560A, a computational method for saving energy is applied.
Another modality, patent CN202040938U makes known a system for diagnosing the conservation of the energy of equipment monitoring and consuming energy of the air-conditioning unit.
Another patent, CN101126926A provides information on a system for controlling intelligent buildings for environmental protection and with the aim of saving energy and consisting of a module for acquiring information, a power supply module, a data processing module, a control module and a memory module.
Whereas CN201266319Y is a system based on an Ethernet network. This system comprises monitoring energy data sent by a device placed in a lower distribution layer, a set of data for managing data located in an intermediate layer for carrying out the merging of information, data mining and regional communication and the management of the lower layer and an actuation device positioned in an upper layer for carrying out the process for optimizing data and downloading an optimization scheme, the devices of the three layers are connected via Ethernet.
DESCRIPTION OF THE INVENTION
The rapid urban and economic growth which many cities experience has an impact on the electrical energy demand and given that there are few projects for increasing the installed capacity for generating energy, difficulties are expected in the electrical sector, which is why it is essential to significantly reduce the demand of this energy, thus contributing to sustainability and reduction of greenhouse gas emissions to the environment. Within this context, the invention is presented with the aim of effectively using the energy required.
A system for controlling the electrical energy for a group of buildings is object of the present invention. The proposed system includes sensors distributed in the buildings to be controlled which monitor in real time different variables associated with the electrical system such as power consumed. In the system, there is also a control unit for comparing the variables monitored with reference variables, generating a response signal based on the comparison and also different actuators distributed in the buildings to be controlled for performing an action on the electrical installation itself of the building based on the response signal generated by the control unit and adapting the energy available to the needs of each building.
Owing to the proposed system, industries and other sectors may achieve a significant improvement in terms of the energy use, optimizing their consumption and using more renewable energy. As has been indicated, the model set out takes as the input the database of various sensors which may be in a network for monitoring. The anomalous changes in the electrical system are thus registered and it is possible to generate a response (or alert) in accordance with current knowledge (from assessments, sequences of erroneous data which was found during the execution thereof or learning in order to generate them). If there is no solution in the system for addressing the anomaly, the system aggregates the solutions presented in said cases (automatic learning). The model to be followed preferably complies with the ISO 50001 standard which regulates an energy management system. The model is adaptable, adjustable (it learns and makes corrections), flexible (it incorporates mechanisms and IT tools) and dynamic (because it is in a continuous process of change) with the system, facilitating the replicability thereof and enabling its operation not to be affected by the acquisition of any component, or preventing said component from not being able to connect to the model.
DESCRIPTION OF THE FIGURES
FIG. 1 is a general view of the block diagram of the control system used for the operation of the system.
FIG. 2 is a functional block diagram of the control system. DETAILED DESCRIPTION OF THE INVENTION
With reference to the figures, various exemplary embodiments are described in a non-limiting manner. The figures are not dimensioned to scale. FIG. 1 corresponds to a block diagram of the system where a reference data unit 1 can be seen which contains the results of the energy assessment with capacity to modify said results if the system itself so determines. The brain of the system which contains the control principle which is applied is represented in the control unit 2, in this case it preferably applies a technique within the scope of artificial intelligence. The actuators 3 contain the mechanisms for correcting errors or responding to an alert which has been triggered. If the system does not have the capacity to correct it, it sends a message to the administrator of the system by various means so that it is corrected and thereby guarantees the desired values. FIG. 1 and 2 illustrate the group of buildings 4 which are controlled by the parameters defined together with the administration of the management system. Lastly, the measuring, which may be from simple sensors 5 to a SCADA system.
A model for the intelligent saving and controlling of electrical energy is established for a group of buildings 4 based on systems for monitoring electrical consumption, taking as the initial element the measuring and obtaining of information of the energy consumptions which are produced in the complete installation, storing historical data and continuing to monitor critical variables in the system. All this supplies the databases for obtaining a continuous improvement in the areas of quality, environment and security. The concept of intelligent control is currently applied for improving the use of energy, maintaining a periodic prognostic of the energy use with the aim of monitoring and improving its efficiency, allowing visibility for planning improvements in the scope of energy saving. It has a network of sensors which include the method for detecting the sources of error, distributed around a specified destination address. It also has a modular structure configuration and the use of intelligent agents.
An objective of the present embodiment is to apply artificial intelligence to an energy management system composed of various modular units for improving the energy efficiency and saving of a group of buildings including those located in different areas of a country.
Another objective is to develop a control principle which allows the system to make decisions when there is a determined anomaly or alert.
Optionally, the connection to an interface 6 allows the data from the sensors 5 to be displayed. These data from the monitoring process may be stored in a database 7 and the consumption data could be presented in numeric data or histograms which allows the variables to be displayed; the data may be from the voltages to the power by means of graphics allowing the historic progression of each one of the variables to be displayed on the interface 6. It is an autonomous model with automatic and optimized decision making, it integrates components such as sensors 5 and actuators 3 which carry out the decision making and thus efficient control is generated. It can make use of data mining and artificial intelligence to define adaptable, adjustable, flexible and dynamic mechanisms.
With this embodiment, an important initiative to be followed is established which lies in the rational and conscious use of energy which seeks to significantly reduce the power and energy demands without affecting the normal activities which are carried out in buildings or industries. Energy has become a key metric for businesses. Saving energy means saving operational costs. Energy consumption also means reducing greenhouse gas emissions and demonstrating greater care for natural resources. These are also tangible actions for public and private companies who are looking to comply with and contribute to sustainable development.
FIG. 2 illustrates the different elements of the system for controlling electric energy for a group of buildings. A series of sensors 5 distributed in a plurality of buildings 4 can be seen. Each sensor 5 measures and monitors in real time one or various variables associated with the electrical system of the building in which it is installed. The information obtained is managed by a control unit 2 which compares the monitored variables of the electrical system of various buildings 4 with reference variables 1 that are already predefined. The data obtained may be stored in a database 7 for the subsequent analysis thereof or to recover them in case this is required. Based on the result of the comparison, said control unit 2 generates a response signal. With the response, various actuators 3 distributed in the buildings 4 may perform an action on the electrical installation of the building to adjust the functioning to established criteria, preferably to achieve intelligent management of the buildings with respect to energy efficiency and saving or to address possible anomalies detected in a robust manner. The interface 6 allows the measurements taken and the responses generated to be displayed.

Claims

1. A system for controlling the electrical energy for a group of buildings, characterized in that it comprises: a plurality of sensors (5) distributed in a plurality of buildings (4), each sensor (5) being configured to monitor in real time a plurality of variables associated with the electrical system of the building (4); a control unit (2) configured to compare the monitored variables of the electrical system of a plurality of buildings (4) with references (1), said control unit (2) also being configured to generate a response signal based on the result of the comparison; a plurality of actuators (3) distributed in a plurality of buildings (4), each actuator (3) being configured to perform an action on the electrical installation of the building based on the response signal generated by the control unit (2).
2. The system for controlling the electrical energy for a group of buildings according to claim 1 , wherein the references (1) comprise historical data of a plurality of buildings (4).
3. The system for controlling the electrical energy for a group of buildings according to claim 1 or 2, wherein the references (1) are generated by the control unit (2) by means of automatic learning techniques.
4. The system for controlling the electrical energy for a group of buildings according to any one of claims 1 to 3, which also comprises an interface (6) for displaying the responses generated by the control unit (2).
5. The system for controlling the electrical energy for a group of buildings according to any one of claims 1 to 4, which also comprises a database (7) for storing the values of the variables monitored by the plurality of sensors (5).
6. The system for controlling the electrical energy for a group of buildings according to any one of claims 1 to 5, wherein the variables monitored by the plurality of sensors (5) comprise voltages and power consumed.
7. The system for controlling the electrical energy for a group of buildings according to any one of claims 1 to 6, wherein the response signal generated by the control unit (2) implements rules for minimizing consumption.
8. The system for controlling the electrical energy for a group of buildings according to any one of claims 1 to 6, wherein the response signal generated by the control unit (2) implements rules for correcting a detected anomaly.
PCT/IB2016/056399 2016-07-20 2016-10-25 System for controlling the electrical energy for a group of buildings WO2017042783A1 (en)

Applications Claiming Priority (2)

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PA91254 2016-07-20
PA9125401 2016-07-20

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114124730A (en) * 2022-01-27 2022-03-01 北京冠邦开源智能系统工程技术有限公司 Communication method, device and system
CN115685837A (en) * 2022-11-01 2023-02-03 青岛研创电子科技有限公司 Energy-saving control system and method based on intelligent power supply
CN115796390A (en) * 2023-01-31 2023-03-14 北京智能建筑科技有限公司 Data-driven building energy consumption abnormity diagnosis method and system

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US20100324962A1 (en) * 2009-06-22 2010-12-23 Johnson Controls Technology Company Smart building manager
US20110190952A1 (en) * 2010-02-04 2011-08-04 Boris Goldstein Method and System for an Integrated Intelligent Building
US20140330538A1 (en) * 2013-03-01 2014-11-06 New Energy Technologies, Inc. Building integrated photovoltaic devices as smart sensors for intelligent building energy management systems
US20150088312A1 (en) * 2013-09-26 2015-03-26 Delta Electronics, Inc. Smart building management system and multi-building management system

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Publication number Priority date Publication date Assignee Title
US20100324962A1 (en) * 2009-06-22 2010-12-23 Johnson Controls Technology Company Smart building manager
US20110190952A1 (en) * 2010-02-04 2011-08-04 Boris Goldstein Method and System for an Integrated Intelligent Building
US20140330538A1 (en) * 2013-03-01 2014-11-06 New Energy Technologies, Inc. Building integrated photovoltaic devices as smart sensors for intelligent building energy management systems
US20150088312A1 (en) * 2013-09-26 2015-03-26 Delta Electronics, Inc. Smart building management system and multi-building management system

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Publication number Priority date Publication date Assignee Title
CN114124730A (en) * 2022-01-27 2022-03-01 北京冠邦开源智能系统工程技术有限公司 Communication method, device and system
CN115685837A (en) * 2022-11-01 2023-02-03 青岛研创电子科技有限公司 Energy-saving control system and method based on intelligent power supply
CN115796390A (en) * 2023-01-31 2023-03-14 北京智能建筑科技有限公司 Data-driven building energy consumption abnormity diagnosis method and system

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