CN115619136A - Building management method and system - Google Patents
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Abstract
The invention relates to the field of smart city management and control, and provides a building management method and a building management system, wherein the system comprises a data acquisition module, an energy efficiency analysis module, a power grid interaction module and a market transaction module; the data acquisition module is used for acquiring operation data and power consumption data of energy utilization equipment in the building and respectively sending the operation data and the power consumption data to the energy efficiency analysis module, the power grid interaction module and the market transaction module; the energy efficiency analysis module is used for carrying out energy efficiency evaluation on the building according to the operation data and the power utilization data sent by the data acquisition module; the power grid interaction module is used for carrying out demand response on the building according to the operation data and the power utilization data sent by the data acquisition module; and the market transaction module is used for carrying out power utilization management and control on the building according to the operation data and the power utilization data sent by the data acquisition module. The invention realizes the refined management and energy efficiency improvement of building energy consumption and realizes the flexible allocation of the power grid to user side load resources.
Description
Technical Field
The invention relates to the field of smart city management and control, in particular to a building management method and system.
Background
In order to effectively improve the energy utilization efficiency, reduce the energy consumption and respond to the national call of energy conservation and emission reduction, the China has come out of a dual-control policy for the macroscopic regulation and control of the energy consumption of enterprises and buildings. Meanwhile, for responding to the response construction of the national power grid demand side, an energy consumption new pattern which takes electricity as a center, takes a network as a platform, is complementary in multiple energy sources, is coordinated in source and grid storage, is efficiently consumed by clean energy and comprehensively improves social energy efficiency is required to be constructed, and a large improvement space exists for building management energy.
At present, hardware components of a building system are independent of one another, an energy utilization control technology falls behind, an optimization strategy algorithm is not sufficiently applied, and the requirements of the development of an electric power internet of things technology are not met. Therefore, how to manage the building is a problem which needs to be solved urgently.
Disclosure of Invention
The invention provides a building management method and a building management system, which are used for solving the problem of building management, realizing the fine management and energy efficiency improvement of building energy consumption by building a man-machine-object interconnected network infrastructure, and realizing the flexible allocation of a power grid to user side load resources.
The invention provides a building management system which comprises a data acquisition module, an energy efficiency analysis module, a power grid interaction module and a market trading module, wherein the data acquisition module is used for acquiring data; the data acquisition module is respectively in communication connection with the energy efficiency analysis module, the power grid interaction module and the market trading module;
the data acquisition module is used for acquiring operation data and power utilization data of energy utilization equipment in the building and respectively sending the operation data and the power utilization data to the energy efficiency analysis module, the power grid interaction module and the market transaction module;
the energy efficiency analysis module is used for carrying out energy efficiency evaluation on the building according to the operation data and the power utilization data sent by the data acquisition module;
the power grid interaction module is used for carrying out demand response on the building according to the operation data and the power utilization data sent by the data acquisition module;
and the market transaction module is used for carrying out power utilization control on the building according to the operation data and the power utilization data sent by the data acquisition module.
In one embodiment, the system further comprises a thermal inertia model for predicting a load and/or an operating temperature of the energy-using device.
In one embodiment, the system further comprises a baseline regression model for predicting the regulatory capacity of the energy usage device.
In one embodiment, the system further comprises an energy efficiency improvement model for determining a regulation strategy of the energy utilization equipment in the building.
In one embodiment, the system further comprises a demand response regulation and control model for regulating and controlling the load variation of the energy utilization equipment according to the power grid instruction.
The invention also provides a building management method, which comprises the following steps:
collecting operation data and power utilization data of energy utilization equipment in the building;
and performing energy efficiency assessment, demand response and power utilization management and control on the building according to the operation data and the power utilization data.
In one embodiment, the method further comprises:
determining a regulation and control strategy of the energy utilization equipment according to the operation data of the energy utilization equipment and the environmental data in the building;
and determining a target adjustment strategy according to the comprehensive energy efficiency of the regulation and control strategy, and executing the target adjustment strategy.
In one embodiment, the method further comprises:
determining a power grid instruction of the energy utilization equipment according to the operation data, the power utilization data and environment data in the building;
and regulating and controlling the load variation of the energy utilization equipment by adopting the power grid instruction.
The present invention also provides a building management apparatus, comprising:
the acquisition module is used for acquiring the operation data and the electricity utilization data of the energy utilization equipment in the building;
and the management module is used for carrying out energy efficiency assessment, demand response and power utilization management and control on the building according to the operation data and the power utilization data.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements any of the above building management methods when executing the program.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a building management method as described in any one of the above.
The invention provides a building management method and a building management system, wherein the system comprises a data acquisition module, an energy efficiency analysis module, a power grid interaction module and a market trading module; the data acquisition module is used for acquiring operation data and power consumption data of energy utilization equipment in the building and respectively sending the operation data and the power consumption data to the energy efficiency analysis module, the power grid interaction module and the market transaction module; the energy efficiency analysis module is used for carrying out energy efficiency evaluation on the building according to the operation data and the power utilization data sent by the data acquisition module; the power grid interaction module is used for carrying out demand response on the building according to the operation data and the power utilization data sent by the data acquisition module; and the market transaction module is used for carrying out power utilization management and control on the building according to the operation data and the power utilization data sent by the data acquisition module. According to the invention, the refined management and the energy efficiency improvement of building energy utilization are realized, and the flexible allocation of a power grid to user side load resources is realized.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic structural view of a building management system provided by the present invention;
FIG. 2 is a schematic structural diagram of an energy efficiency improvement model provided by the present invention;
FIG. 3 is a schematic structural diagram of a demand response regulatory model provided by the present invention;
FIG. 4 is a schematic flow diagram of a building management method provided by the present invention;
FIG. 5 is a schematic diagram of a building management apparatus according to the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The building management method and system of the present invention are described below in conjunction with fig. 1-6.
Specifically, the invention provides a building management system, and referring to fig. 1, fig. 1 is a schematic structural diagram of the building management system provided by the invention.
The building management system provided by the embodiment of the invention comprises a data acquisition module, an energy efficiency analysis module, a power grid interaction module and a market transaction module; the data acquisition module is respectively in communication connection with the energy efficiency analysis module, the power grid interaction module and the market transaction module;
the data acquisition module is used for acquiring operation data and power consumption data of energy utilization equipment in the building and respectively sending the operation data and the power consumption data to the energy efficiency analysis module, the power grid interaction module and the market trading module;
the energy efficiency analysis module is used for carrying out energy efficiency evaluation on the building according to the operation data and the power utilization data sent by the data acquisition module;
the power grid interaction module is used for carrying out demand response on the building according to the operation data and the power utilization data sent by the data acquisition module;
and the market transaction module is used for carrying out power utilization control on the building according to the operation data and the power utilization data sent by the data acquisition module.
It should be noted that the building management system of the invention integrates information of people, land, things, situations, organizations, houses and the like in the area by comprehensively applying modern scientific technology, integrates resources of public management, public service, commercial service and the like, takes a building comprehensive information service platform as support, and promotes building management and modernization of building management and promotes intellectualization of public service and convenience service by relying on moderately advanced infrastructure construction, thereby being an innovative mode of building management and service and also an important measure for realizing a novel urbanization development target and a building service system construction target.
The building management system provided by the embodiment of the invention is a demand-side response-oriented 5G intelligent building management system, which comprises a cold source system, a heat source system, an air conditioning system, a water supply and drainage system, an electric power system, a lighting system (outdoor lighting, flood lighting and beacon lights), an elevator and the like, and is used for carrying out signal acquisition and control on electromechanical equipment such as an air conditioning unit, an air supply and exhaust fan, a refrigerating unit, a cooling tower, a boiler, a heat exchanger, a water tank water pump and the like in the whole building. The system and various terminals of the building use 5G network communication, and the main modules and the functions thereof comprise:
meters and sensors of various buildings are adapted to a 5G network through a 5G terminal computing gateway, all data transmission is realized through the 5G network, the wide access of various terminals is realized, data are received and transmitted in real time, and various control instructions are transmitted quickly. The building management system is provided with a data acquisition module, the data acquisition module monitors and acquires operation data and electricity utilization data of energy utilization equipment in the building in real time through a 5G network, and transmits the acquired data to other modules, such as an energy efficiency analysis module, a power grid interaction module and a market transaction module.
The building management system is provided with an energy efficiency analysis module, the energy efficiency analysis module is used for receiving the operation data and the power utilization data sent by the data acquisition module, and then based on the operation data, the power utilization data and the historical energy efficiency data, the energy efficiency of the building is evaluated from two dimensions of system-level energy efficiency and equipment-level energy efficiency. For example, important information such as key energy utilization equipment, operation parameters and environmental changes is focused, an energy utilization optimization control model for commercial buildings is constructed, and an intelligent internet of things terminal is developed, so that the energy utilization efficiency can be improved, the energy utilization cost for users is reduced, and the energy efficiency is improved.
The building management system is provided with a power grid interaction module, the power grid interaction module is used for receiving the operation data and the power consumption data sent by the data acquisition module, and then carrying out demand response on the building according to the operation data and the power consumption data sent by the data acquisition module. The power grid interaction module is also used for acquiring an analysis result of the demand response, setting a scheme for automatically participating in the demand response based on the analysis result, and whether to participate in the demand response, so that the use convenience of a user is improved. For example, by refining the classification of adjustable load resources, the design of a demand response scene is perfected, a virtual power plant, a demand response and intelligent control technology is applied, model algorithm research and key equipment development are enhanced, intelligent support is provided for source network load storage cooperative service, and the maximum load response capability of the building is realized.
The building management system is provided with a market trading module, the market trading module is used for receiving operation data and power utilization data sent by the data acquisition module, and then power utilization management and control are carried out on the building according to the operation data and the power utilization data sent by the data acquisition module. For example, the market trading module plans the implementation form of the electric power market trading in the building management system, and controls the whole processes of bidding, winning bid, executing, settling and evaluating. Based on the method, an automatic bidding and bidding mode is adopted to participate in automatic demand response and power market transaction of a power grid, electric quantity distribution and energy utilization adjustment of different equipment of the building are realized according to the bid-winning load, simultaneously, the bid-winning benefits of the corresponding load are settled in real time, commercial building users are promoted to participate in power spot market transaction, the optimized price mechanism of the response power market of the users is guided, and the energy utilization cost of the users is reduced.
After the demand response quantity, the energy consumption cost and the user comfort degree information of the building are determined, the balance between the commercial building energy consumption and the power grid is achieved through a regulation strategy, wherein the regulation strategy comprises regional regulation, such as the regulation of the global temperature in the region or precooling; adjusting an air supply system, such as adjusting the frequency conversion of a fan or reducing the number of fans; cooling system regulation, such as chilled water pump frequency conversion or chilled water pump frequency conversion; lighting systems, for example, intelligently adjusting lighting device brightness. Through the continuous iteration regulation and control strategy, the balance between the energy consumption of the commercial building and the power grid can be realized.
It should be noted that the building management system further includes the following functions:
information overview: the system integrates basic information and energy utilization information of commercial buildings through a graphical display interface, and vividly and intuitively displays parameters and trends related to building energy efficiency and demand response.
Energy efficiency analysis: the system evaluates the building energy efficiency from two dimensions of system-level energy efficiency and equipment-level energy efficiency, and forms an energy efficiency improvement scheme and a control strategy by analyzing data acquired in real time and historical energy efficiency data.
Responding to the equipment management: the system manages the equipment which is powered off and shut down according to power grid planning, and the equipment comprises information such as equipment name, equipment type, equipment address and equipment details.
Response plan management: the system realizes the management of the shutdown equipment, the shutdown time, the attention matters during the shutdown and the like, including plan names, plan start-stop time, plan states, plan execution conditions and the like.
Response plan implementation: and managing the implementation of the corresponding plan, supporting the plan implementation condition writing, and if the plan implementation is completed, clicking a plan completed button to mark the plan state as completed.
Responding to the predicted income: and calculating the outage time period according to the published information of the power grid to obtain subsidy benefits. And predicting subsidy income of the power failure plan according to the subsidy amount of each degree of electricity and the historical power utilization level.
Market trading: the system manages and controls the whole processes of bidding, bid winning, execution, settlement and evaluation by planning the implementation form of the electric power market transaction in the building management system, reserves an interface and a user interface, and can be quickly connected with an electric power company marketing system and bring considerable economic benefit to users when the client side can regulate resources to formally enter an auxiliary service market.
The building management system provided by the embodiment of the invention is based on a 5G network, a terminal computing gateway, a model strategy and edge computing power, realizes development of an intelligent building management system by means of advanced technologies such as artificial intelligence and machine learning, ensures real-time performance of data transmission by means of the 5G network, ensures accuracy of a regulation strategy by means of an artificial intelligence algorithm, can realize self-adaptive regulation of building energy consumption, and can reduce building energy consumption, improve energy efficiency benefit, obtain power grid demand response subsidy, reduce social comprehensive energy efficiency, reduce a large amount of manual operation and maintenance and save labor cost on the premise of meeting the comfort level of personnel in a building. Namely, the building management system builds the man-machine-object interconnected network infrastructure through the characteristics of high speed of 5G, low time delay and large connection, and realizes the fine management and energy efficiency improvement of building energy consumption and the flexible allocation of a power grid to user side load resources on the basis. In addition, the intelligent building management system provided by the invention also has the following advantages:
the advancement is as follows: by applying the 5G + edge calculation technology, the generation and consumption of the data attribution are ensured, and the response timeliness and the information privacy safety are improved.
Maturity: and adopting mature or engineering-verified technology on the basis of application.
Opening property: and an open technical standard is adopted, so that the system interconnection or expansion is prevented from being obstructed.
And (3) standardization: standardized designs and standardized products are used.
And (3) expandability: the system allows for future development, leaving redundancy in embedments and cabling. The management of the system is combined according to the demand of the system, namely, the integral management of future building groups is fully considered on the premise of ensuring the independent operation of the single buildings.
Safety: including the security of the system itself and the security of information transfer.
Service awareness: the safe, comfortable, convenient, fast, efficient and environment-friendly living and working environment is provided for users of the building.
Based on the above embodiment, the system further comprises a thermal inertia model for predicting the load and/or the operating temperature of the energy consuming device.
In a building management system, aiming at an energy efficiency improvement scene, on the premise of meeting the comfort level, the energy efficiency improvement and the energy consumption cost reduction of the operation of a user are realized through a thermal inertia model. The thermal inertia model is used for predicting the load and/or the operating temperature of the energy utilization equipment, for example, the thermal inertia model is used for predicting the outlet air temperature and the load trend of the air conditioning system in real time.
According to the embodiment of the invention, the load and/or the operation temperature of the energy utilization equipment are predicted through the inertia model, so that the energy efficiency of a user is improved and the energy utilization cost of operation is reduced.
Based on the above embodiment, the system further comprises a baseline regression model for predicting the regulatory capability of the energy usage equipment.
In a building management system, aiming at a demand response scene and a spot market trading scene, a flexible load regulation and control technology is adopted to realize the regulation and control of user side energy utilization equipment and load on the basis of studying and judging the power grid response capacity, the user energy utilization cost and the comfort level through a baseline regression model and a price signal guide mechanism.
The baseline Regression model is used for predicting the regulation and control capability of the energy consumption device, wherein the baseline Regression model is an SVM (Support Vector Regression) model. For example, the adjustable potential of the air conditioning system is predicted in real time by adopting an SVM model algorithm, so that a user can know the regulation and control capacity of energy utilization equipment and flexibly and autonomously participate in a demand response event.
Based on the above embodiment, the system further includes an energy efficiency improvement model for determining a regulation and control strategy of the energy consumption equipment in the building.
The building management system further comprises an energy efficiency improvement model used for determining a regulation strategy of the energy utilization equipment in the building. The energy efficiency improvement model predicts the temperature and the load trend of the air conditioning system in real time by applying a thermal inertia model, and dynamically optimizes the regulation and control strategies of the three subsystems (a cooling water circulation subsystem, a chilled water circulation subsystem and a tail end air conditioning box system) based on a Support Vector Machine (SVM) algorithm. The iterative historical database is updated in real time by a learning mode built in the model, and continuous optimization control of the cold and heat source host, the circulating pipe network and the tail end air conditioning cabinet is realized.
Referring to fig. 2, fig. 2 illustrates an energy efficiency improvement model by taking an air conditioning system as an example. The input parameters of the energy efficiency improvement model comprise the running state of the air conditioning equipment, information of each acquisition point, the water pump frequency, the valve position of the electric valve and environmental parameters; the output parameter is a regulation strategy; using an algorithm including a Support Vector Machine (SVM) algorithm; the optimization target is that the comprehensive energy efficiency is optimal.
Specifically, the method includes the steps of inputting cold quantity required by a user into a thermal inertia model, predicting air outlet temperature and load of an air conditioning system through the thermal inertia model, determining a flow calculation value according to the temperature and the load of the air conditioning system, then primarily making an air conditioner host start-stop strategy according to the temperature and the load of the air conditioning system, primarily making a freezing water pump frequency conversion or start-stop strategy according to a water supply return temperature and the flow calculation value, primarily making valve position opening strategies of all terminal electromagnetic valves and terminal fan start-stop strategies according to a refrigerating quantity calculation value and a return air temperature, and primarily making a cooling tower fan start-stop strategy and a cooling water pump start-stop strategy according to the flow calculation value and the water supply return temperature. And regulating and controlling the three subsystems according to the determined strategy, and simultaneously carrying out dynamic optimization on the regulation and control strategies of the three subsystems by adopting a Support Vector Machine (SVM) algorithm. Judging whether the comprehensive energy efficiency is optimal or not by combining historical data, and if so, executing a strategy; and if the energy efficiency is not optimal, strategy adjustment is carried out on each subsystem, and the comprehensive energy efficiency is optimal through continuously iteratively calculating and adjusting the strategy.
According to the embodiment of the invention, the regulation and control strategy of the energy utilization equipment in the building is determined through the energy efficiency improvement model, so that the optimal comprehensive energy efficiency of the building is realized.
Based on the above embodiment, the system further includes a demand response regulation and control model, which is used for regulating and controlling the load variation of the energy utilization equipment according to the power grid instruction.
The building management system further comprises a demand response regulation and control model used for regulating and controlling the load variation of the energy utilization equipment according to the power grid instruction. The demand response regulation and control model predicts the adjustable potential of the air conditioning system in real time by applying a baseline regression model algorithm.
Referring to fig. 3, fig. 3 illustrates a demand response regulation model by taking an air conditioning system as an example. The input parameters of the demand response regulation and control model comprise the running state of the air conditioning equipment, information of each acquisition point, the water pump frequency, the valve position of the electric valve and environmental parameters; the output parameter is the maximum regulation and control quantity of the air conditioner load; the algorithm used includes a non-linear programming method and the like; the optimization target is to accurately regulate and control the air conditioner load variation according to the power grid instruction.
Specifically, historical data of the air conditioning system is adopted, effective data in the historical data are extracted, the effective data are divided, a part of effective data are trained, an element set is determined based on influence factor analysis, the element set is normalized to obtain a data set, SVR optimization is carried out on the data set, the SVR optimized data and the other part of effective data are used as test data, the test data are normalized, and finally the load trend of the air conditioning system is predicted according to the normalized test data. The method comprises the steps of determining response quantity by adopting predicted load trends and power grid regulation demand levels, determining comfort level by adopting environmental parameters, and regulating and controlling three subsystems (a cooling water circulation subsystem, a chilled water circulation subsystem and a tail end air conditioning box system) if the response quantity and the comfort level are not balanced, wherein for example, the response quantity is 26 ℃, the current environmental temperature is 28 ℃, namely the current environmental temperature does not meet the demand temperature of a user, and the temperature is required to reach the demand temperature of the user by regulating and controlling the three subsystems. Preliminarily making a regulation strategy, including a start-stop regulation strategy, a temperature regulation strategy, a flow regulation strategy, a valve position regulation strategy and the like, realizing strategy regulation by sending a power grid instruction, calculating the actual load variation, if the actual load variation is less than or equal to the response quantity, indicating that the required temperature is not reached, and continuously adjusting the strategy of each subsystem; and if the actual load variation is larger than the response quantity, the requirement temperature is reached, at the moment, the strategy is executed, and meanwhile, the requirement response information is evaluated through a requirement response evaluation module, wherein the requirement response information comprises information such as effective response quantity, actual response time, deviation rate, climbing rate and the like.
According to the embodiment of the invention, the load variation of the energy utilization equipment is regulated and controlled based on the power grid instruction through the demand response regulation and control model, so that the accurate regulation and control of the load variation of the energy utilization equipment are improved, and the balance between the response and the comfort of a user is realized.
Referring to fig. 4, based on the foregoing embodiment, an embodiment of the present invention provides a building management method applied to the building management system according to any one of the foregoing embodiments, including:
it should be noted that meters and sensors of various buildings are adapted to a 5G network through a 5G end computing gateway, all data transmission is realized through the 5G network, wide access of various terminals is realized, data are received and transmitted in real time, and various control instructions are quickly transmitted.
The building management system is provided with a data acquisition module, the data acquisition module monitors and acquires operation data and electricity utilization data of energy utilization equipment in the building in real time through a 5G network, and transmits the acquired data to other modules, such as an energy efficiency analysis module, a power grid interaction module and a market transaction module.
And 200, performing energy efficiency assessment, demand response and power utilization management and control on the building according to the operation data and the power utilization data.
The building management system is provided with an energy efficiency analysis module, the energy efficiency analysis module is used for receiving the operation data and the power utilization data sent by the data acquisition module, and then based on the operation data, the power utilization data and the historical energy efficiency data, the energy efficiency of the building is evaluated from two dimensions of system-level energy efficiency and equipment-level energy efficiency. The energy efficiency assessment refers to calculating and assessing performance indexes such as building energy consumption and energy system efficiency.
The building management system is provided with a power grid interaction module, the power grid interaction module is used for receiving the operation data and the power consumption data sent by the data acquisition module, and then carrying out demand response on the building according to the operation data and the power consumption data sent by the data acquisition module. The power grid interaction module is also used for acquiring an analysis result of the demand response, setting a scheme for automatically participating in the demand response based on the analysis result, and whether to participate in the demand response, so that the use convenience of a user is improved.
The building management system is provided with a market trading module, the market trading module is used for receiving the operation data and the power utilization data sent by the data acquisition module, and then the building is subjected to power utilization management and control according to the operation data and the power utilization data sent by the data acquisition module. For example, the market trading module is used for planning the implementation form of the electric market trading in the building management system and managing and controlling the whole process of bidding, winning a bid, executing, settling and evaluating.
According to the building management method provided by the embodiment of the invention, the operation data and the power utilization data of the energy utilization equipment in the building are collected, and then the energy efficiency assessment, the demand response and the power utilization management and control are carried out on the building according to the operation data and the power utilization data. According to the invention, through the characteristics of high speed, low time delay and large connection of 5G, a network infrastructure of man-machine-object interconnection is built, and on the basis, the fine management and energy efficiency improvement of building energy utilization are realized, and the flexible allocation of a user side load resource by a power grid is realized.
Based on the above embodiment, the method further includes:
determining a regulation strategy of the energy utilization equipment according to the operation data of the energy utilization equipment and the environmental data in the building;
and determining a target adjustment strategy according to the comprehensive energy efficiency of the regulation and control strategy, and executing the target adjustment strategy.
It should be noted that the building management system further includes an energy efficiency improvement model, which is used to determine a regulation and control strategy of the energy utilization equipment in the building. The method comprises the steps of determining regulation strategies of energy utilization equipment according to operation data of the energy utilization equipment of the energy efficiency improvement model and environment data in the building, then determining comprehensive energy efficiency of each regulation strategy, determining a strategy with the energy efficiency meeting set requirements as a target regulation strategy, and executing the target regulation strategy.
For example, referring to fig. 2, fig. 2 illustrates an energy efficiency improvement model by taking an air conditioning system as an example. The input parameters of the energy efficiency improvement model comprise the running state of the air conditioning equipment, information of each acquisition point, the water pump frequency, the valve position of the electric valve and environmental parameters; the output parameter is a regulation strategy; using an algorithm including a Support Vector Machine (SVM) algorithm; the optimization target is that the comprehensive energy efficiency is optimal.
Specifically, the cooling demand capacity of a user is input into a thermal inertia model, the air outlet temperature and the load of an air conditioning system are predicted through the thermal inertia model, a flow calculation value is determined according to the temperature and the load of the air conditioning system, then an air conditioner host start-stop strategy is preliminarily formulated according to the temperature and the load of the air conditioning system, a freezing water pump frequency conversion or start-stop strategy is preliminarily formulated according to the return water supply temperature and the flow calculation value, each tail end solenoid valve position opening strategy and each tail end fan start-stop strategy are preliminarily formulated according to the cooling capacity calculation value and the return water return temperature, and a cooling tower fan start-stop strategy and a cooling water pump start-stop strategy are preliminarily formulated according to the flow calculation value and the return water supply temperature. And regulating and controlling the three subsystems according to the determined strategy, and dynamically optimizing the regulation and control strategies of the three subsystems by adopting a Support Vector Machine (SVM) algorithm. Judging whether the comprehensive energy efficiency is optimal or not by combining historical data, and if so, executing a strategy; and if the energy efficiency is not optimal, strategy adjustment is carried out on each subsystem, and the comprehensive energy efficiency is optimal through continuously iteratively calculating and adjusting the strategy.
According to the embodiment of the invention, the regulation and control strategy of the energy utilization equipment is determined according to the operation data of the energy utilization equipment and the environmental data in the building, then the target regulation strategy is determined according to the comprehensive energy efficiency of the regulation and control strategy, and the target regulation strategy is executed, so that the optimal comprehensive energy efficiency of the building is realized.
Based on the above embodiment, the method further includes:
determining a power grid instruction of the energy utilization equipment according to the operation data, the power utilization data and environment data in a building;
and regulating and controlling the load variation of the energy utilization equipment by adopting the power grid instruction.
It should be noted that the building management system further includes a demand response regulation model for regulating and controlling the load variation of the energy utilization device according to the power grid command. The demand response regulation and control model determines a power grid instruction of the energy utilization equipment according to the operation data, the electricity utilization data and the environment data in the building, and then regulates and controls the load variation of the energy utilization equipment by adopting the power grid instruction.
For example, referring to fig. 3, fig. 3 illustrates a demand response regulation model by taking an air conditioning system as an example. The input parameters of the demand response regulation and control model comprise the running state of the air conditioning equipment, information of each acquisition point, the water pump frequency, the valve position of the electric valve and environmental parameters; the output parameter is the maximum regulating and controlling quantity of the air conditioner load; the algorithm used includes a non-linear programming method and the like; the optimization target is to accurately regulate and control the air conditioner load variation according to the power grid instruction.
Specifically, historical data of the air conditioning system is adopted, effective data in the historical data are extracted, the effective data are divided, a part of effective data are trained, an element set is determined based on influence factor analysis, the element set is normalized to obtain a data set, SVR optimization is carried out on the data set, the SVR optimized data and the other part of effective data are used as test data, the test data are normalized, and finally the load trend of the air conditioning system is predicted according to the normalized test data. The method comprises the steps of determining response quantity by adopting predicted load trend and power grid regulation and control demand grade, determining comfort level by adopting environmental parameters, and regulating and controlling three subsystems (a cooling water circulation subsystem, a chilled water circulation subsystem and a tail end air conditioning box system) if the response quantity and the comfort level are not balanced, wherein for example, the response quantity is 26 ℃, the current environmental temperature is 28 ℃, namely the current environmental temperature does not meet the demand temperature of a user, and the temperature is required to reach the demand temperature of the user by regulating and controlling the three subsystems. Preliminarily making a regulation strategy, including a start-stop regulation strategy, a temperature regulation strategy, a flow regulation strategy, a valve position regulation strategy and the like, realizing strategy regulation by sending a power grid instruction, calculating the actual load variation, if the actual load variation is less than or equal to the response quantity, indicating that the required temperature is not reached, and continuously adjusting the strategy of each subsystem; and if the actual load variation is larger than the response quantity, the requirement temperature is reached, at the moment, the strategy is executed, and meanwhile, the requirement response information is evaluated through a requirement response evaluation module, wherein the requirement response information comprises information such as effective response quantity, actual response time, deviation rate, climbing rate and the like.
According to the embodiment of the invention, the power grid instruction of the energy utilization equipment is determined according to the operation data, the electricity utilization data and the environmental data in the building, and then the load variation of the energy utilization equipment is regulated and controlled by adopting the power grid instruction, so that the accurate regulation and control of the load variation of the energy utilization equipment are improved, and the balance between the response and the comfort of a user is realized.
Fig. 5 is a schematic structural diagram of a building management apparatus provided by the invention, and referring to fig. 5, an embodiment of the invention provides a building management apparatus, which includes an acquisition module 501, a determination module 502 and a quality inspection module 503.
The acquisition module 501 is configured to acquire operation data and power consumption data of the energy consumption equipment in the building;
the management module 502 is configured to perform energy efficiency assessment, demand response, and power consumption management and control on the building according to the operation data and the power consumption data.
According to the building management device provided by the embodiment of the invention, the operation data and the power utilization data of the energy utilization equipment in the building are collected, and then the energy efficiency assessment, the demand response and the power utilization management and control are carried out on the building according to the operation data and the power utilization data. According to the invention, through the characteristics of high speed, low time delay and large connection of 5G, a network infrastructure of man-machine-object interconnection is built, and on the basis, the fine management and energy efficiency improvement of building energy utilization are realized, and the flexible allocation of a user side load resource by a power grid is realized.
In one embodiment, the building management apparatus further comprises a first determining module and an executing module;
the first determining module is used for determining a regulation and control strategy of the energy utilization equipment according to the operation data of the energy utilization equipment and the environment data in the building;
and the execution module is used for determining a target adjustment strategy according to the comprehensive energy efficiency of the regulation and control strategy and executing the target adjustment strategy.
In one embodiment, the building management apparatus further comprises a second determination module and a regulation module;
the second determining module is used for determining a power grid instruction of the energy utilization equipment according to the operation data, the power utilization data and environment data in a building;
and the regulation and control module is used for regulating and controlling the load variation of the energy utilization equipment by adopting the power grid instruction.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor) 610, a communication Interface (Communications Interface) 620, a memory (memory) 630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a building management method comprising:
collecting operation data and power utilization data of energy utilization equipment in the building;
and performing energy efficiency assessment, demand response and power utilization management and control on the building according to the operation data and the power utilization data.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a building management method provided by the above methods, the method comprising:
collecting operation data and power utilization data of energy utilization equipment in the building;
and performing energy efficiency assessment, demand response and power utilization management and control on the building according to the operation data and the power utilization data.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. A building management system is characterized by comprising a data acquisition module, an energy efficiency analysis module, a power grid interaction module and a market transaction module; the data acquisition module is respectively in communication connection with the energy efficiency analysis module, the power grid interaction module and the market transaction module;
the data acquisition module is used for acquiring operation data and power utilization data of energy utilization equipment in the building and respectively sending the operation data and the power utilization data to the energy efficiency analysis module, the power grid interaction module and the market transaction module;
the energy efficiency analysis module is used for carrying out energy efficiency evaluation on the building according to the operation data and the power utilization data sent by the data acquisition module;
the power grid interaction module is used for carrying out demand response on the building according to the operation data and the power utilization data sent by the data acquisition module;
and the market transaction module is used for carrying out power utilization control on the building according to the operation data and the power utilization data sent by the data acquisition module.
2. A building management system as claimed in claim 1, wherein the system further comprises a thermal inertia model for predicting the load and/or operating temperature of the energy-using devices.
3. The building management system of claim 1, further comprising a baseline regression model for predicting regulatory capabilities of the energy-using devices.
4. The building management system of claim 1, further comprising an energy efficiency improvement model for determining a regulation strategy for the energy consuming devices within the building.
5. The building management system according to claim 1, further comprising a demand response regulation model for regulating the amount of load change of the energy-using devices according to grid instructions.
6. A building management method applied to the building management system according to any one of claims 1 to 5, comprising:
collecting operation data and power utilization data of energy utilization equipment in the building;
and performing energy efficiency assessment, demand response and power utilization management and control on the building according to the operation data and the power utilization data.
7. A building management method as claimed in claim 6, further comprising:
determining a regulation strategy of the energy utilization equipment according to the operation data of the energy utilization equipment and the environmental data in the building;
and determining a target adjustment strategy according to the comprehensive energy efficiency of the regulation and control strategy, and executing the target adjustment strategy.
8. The method for building management according to claim 6, further comprising:
determining a power grid instruction of the energy utilization equipment according to the operation data, the power utilization data and environment data in the building;
and regulating and controlling the load variation of the energy utilization equipment by adopting the power grid instruction.
9. A building management apparatus, comprising:
the acquisition module is used for acquiring the operation data and the electricity utilization data of the energy utilization equipment in the building;
and the management module is used for carrying out energy efficiency assessment, demand response and power consumption management and control on the building according to the operation data and the power consumption data.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements a building management method as claimed in any one of claims 6 to 8.
11. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the building management method as claimed in any one of claims 6 to 8.
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| CN202211215286.6A CN115619136A (en) | 2022-09-30 | 2022-09-30 | Building management method and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796392A (en) * | 2023-01-31 | 2023-03-14 | 中交第四航务工程勘察设计院有限公司 | Intelligent building display method and system based on 3D visualization |
| CN117249537A (en) * | 2023-11-20 | 2023-12-19 | 南京南自华盾数字技术有限公司 | Virtual power plant scheduling and control system and method based on central air conditioner |
| CN117351422A (en) * | 2023-10-20 | 2024-01-05 | 江苏平熙智能电子科技有限公司 | Intelligent building monitoring method and system |
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2022
- 2022-09-30 CN CN202211215286.6A patent/CN115619136A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796392A (en) * | 2023-01-31 | 2023-03-14 | 中交第四航务工程勘察设计院有限公司 | Intelligent building display method and system based on 3D visualization |
| CN117351422A (en) * | 2023-10-20 | 2024-01-05 | 江苏平熙智能电子科技有限公司 | Intelligent building monitoring method and system |
| CN117249537A (en) * | 2023-11-20 | 2023-12-19 | 南京南自华盾数字技术有限公司 | Virtual power plant scheduling and control system and method based on central air conditioner |
| CN117249537B (en) * | 2023-11-20 | 2024-03-19 | 南京南自华盾数字技术有限公司 | Virtual power plant scheduling and control system and method based on central air conditioner |
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