CN113701232A - Heat supply system building-level regulation and control method and system based on temperature diversity analysis - Google Patents
Heat supply system building-level regulation and control method and system based on temperature diversity analysis Download PDFInfo
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Abstract
The invention relates to a heating system building-level regulation and control method and system based on temperature diversity analysis, wherein temperature data are obtained according to the actual temperature distribution of a building on a demand side, and a temperature interval of heating demand is divided; acquiring deviation between the temperature interval and the expected temperature to determine a weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature; acquiring the temperature distribution diversity of all buildings under different temperature division modes in a heating system regulation object; and establishing a data-driven mapping model, performing regulation and control based on temperature diversity analysis, realizing building of a diversity evaluation index of building temperature, reflecting the temperature distribution characteristics of the demand-side diversified energy consumption information from the system, providing a new idea for accurate regulation and control of the heat supply system as required, and performing accurate regulation and control as required based on temperature diversity analysis according to the established data-driven mapping model of the room temperature diversity of the building of the heat supply system and the relationship between parameters of the control equipment.
Description
Technical Field
The invention belongs to the technical field of advanced control of heating systems, and particularly relates to a heating system building-level regulation and control method and system based on temperature diversity analysis.
Background
The urban central heating system is an important component of the urban energy system in northern China and is directly related to the civilization of common people. The urban centralized heating system is a complex system with strong coupling and large hysteresis, and the regulation and control of the heating power station have the problems of extensive regulation and control, main dependence on manual experience, untimely regulation and the like. The heat supply system is used for producing high-temperature hot water in a heat source plant and driving the hot water to circularly flow in a primary side pipe network to convey heat energy to each heat station, the primary side and the secondary side exchange heat in the heat station to transfer the heat from the primary side to the secondary side, and the secondary side supplies heat to each heat user in the secondary side pipe network.
The current heating station can not accurately predict the specific requirements of each building heat user, and usually adopts excessive heat supply measures, thereby causing the problems of energy waste, low utilization efficiency and the like. In the regulation and control process, in order to meet the building requirements, the current heat supply system is controlled by establishing a temperature acquisition system and taking the room temperature as a direct regulation and control target. In fact, there is a regularity in the temperature distribution of buildings, and different room temperature distributions may correspond to the same regulation and control requirements. The entropy concept in thermodynamics is referred to, building temperature diversity evaluation indexes are established, diversified energy utilization information on a demand side is reflected, the building temperature distribution characteristics can be reflected from the overall orderliness of the system, and a new thought is provided for accurate regulation and control of a heat supply system according to needs.
Therefore, a new building-level regulation and control method and system for a heating system based on temperature diversity analysis needs to be designed based on the technical problems.
Disclosure of Invention
The invention aims to provide a heating system building-level regulation and control method and system based on temperature diversity analysis.
In order to solve the technical problem, the invention provides a heating system building-level regulation and control method based on temperature diversity analysis, which comprises the following steps:
acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand;
acquiring deviation between the temperature interval and the expected temperature to determine a weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature;
acquiring the temperature distribution diversity of all buildings under different temperature division modes in a heating system regulation object; and
and establishing a data-driven mapping model, and performing regulation and control based on temperature diversity analysis.
Further, the method for acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand comprises the following steps:
the highest temperature in the statistic building data is TmaxMinimum temperature TminTemperature range of TA＝Tmax-TminTemperature range [ T ]max，Tmin]Evenly divided into n temperature intervals:
{[Tmin，T1]，[T1，T2]，[T2，T3]，…，[Tm-1，Tmax]}；
wherein, Tmin＝T0，Tmax＝Yn(ii) a Recording the temperature interval as
Falling within a temperature interval [ Ti-1，Ti]The number of temperature data sets in (1) is zi。
Further, the method for acquiring the deviation of the temperature interval from the expected temperature to determine the weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the temperature diversity of the building comprises the following steps:
acquiring the probability of the value of the measurement data falling in a temperature interval;
temperature interval i: [ T ]i-1，Ti]Has a weight coefficient of wi；
The desired temperature of the heating system is Te；
The expected temperature is the temperature meeting the requirements of users, the larger the deviation between the temperature interval and the expected temperature is, the larger the influence of the interval on the diversity is, the larger the weight coefficient is;
probability p of measurement data value falling in temperature intervaliComprises the following steps:
further, the method for determining the weight coefficient of the temperature intervals according to the deviation of the expected temperature to obtain the influence of each temperature interval on the building temperature diversity further comprises the following steps:
acquiring the influence of each temperature interval on the temperature diversity of the building, namely the interval i-bandInfluence of incoming on the diversity diComprises the following steps:
wherein n is the number of temperature intervals; diIs about piAt (0, 1/e)]Is increased by (1/e, 1)]It is decremented.
Further, the method for acquiring the temperature distribution diversity of all buildings under different temperature division modes in the heating system regulation and control object comprises the following steps:
relative diversity of building temperature distribution DrelComprises the following steps:
wherein, for any temperature interval division mode, a summation function D is adoptedrelMaximum of (d) at all diTaking 1/n;
temperature distribution diversity DjComprises the following steps:
wherein k is a diversity correction coefficient; alpha is alphajThe dimension of the diversity of the buildings.
Determining a diversity correction coefficient k and a diversity dimension alpha according to actual requirements and historical dataj。
Further, the method for establishing a building-level data-driven mapping model of the heating system and performing regulation and control based on temperature diversity analysis comprises the following steps:
acquiring room temperature data diversity data of a building in the operation process of a heat supply system, acquiring temperature data of the building and a room on the demand side of the heat supply system, and acquiring temperature distribution diversity D of the buildingjThen the diversity calculation result on the demand side is
The operation database acquires equipment parameters in the operation process of the heat supply system: opening degree theta of primary side valve and temperature t supplied at primary sidePrimary side supplySecondary side temperature tSecondary side supplyThe operating frequency f and the regulating parameter beta of the secondary side circulating pump;
establishing a data-driven mapping model of various regulation and control parameters and room temperature diversity:
calculating a set value of the diversity of the room temperature on the demand side according to the data driving mapping model, and acquiring the opening theta of a valve on the primary side and the temperature t supplied by the primary side according to the data driving mapping modelPrimary side supplySecondary side temperature tSecondary side supplyAnd updating the temperature distribution diversity according to the target value of the operating frequency f of the secondary side circulating pump to ensure the temperature distribution diversity D of the target buildingjCan be stabilized at the set value.
In a second aspect, the present invention further provides a data-driven mapping model adopted by the method for regulating and controlling the building level of a heating system based on temperature diversity analysis, including:
wherein the diversity calculation result of the demand side is
The opening of the primary side valve is theta; the temperature supplied at the primary side is tPrimary side supply(ii) a Secondary side temperature supply is tSecondary side supply(ii) a The operating frequency of the secondary side circulating pump is f; the control parameter is beta.
In a third aspect, the present invention further provides a heating system building level regulation and control system based on temperature diversity analysis, including:
the dividing module is used for acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand;
the influence acquisition module is used for acquiring the deviation between the temperature interval and the expected temperature to determine the weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature;
the diversity module is used for acquiring the temperature distribution diversity of all buildings under different temperature division modes in the heating system regulation and control object; and
and the model construction module is used for establishing a data-driven mapping model and carrying out regulation and control based on temperature diversity analysis.
In a fourth aspect, the present invention further provides a heating system building level regulation and control device based on temperature diversity analysis, including:
the system comprises a building temperature characteristic data acquisition module, a temperature diversity calculation module, a mapping model module for regulating and controlling parameters and diversity, a temperature regulation and control module based on building temperature diversity evaluation and a heating system regulation and control target calculation and decision module;
the building temperature characteristic data acquisition module comprises: the temperature sensors are arranged in a room thermometer and a building, and the building temperature characteristic data acquisition module transmits data to the temperature diversity calculation module;
the temperature diversity calculation module is suitable for functions of data transmission, data preprocessing, calculation analysis and the like, and transmits results to the mapping model module for regulating and controlling parameters and diversity and the heating system regulation and control target calculation and decision module;
the mapping model module for regulating and controlling the parameters and the diversity obtains the result of the temperature diversity calculation module as input to give the parameters of the target equipment in the actual regulating and controlling process;
the temperature regulation and control module based on building temperature diversity evaluation gives control instructions of regulation and control objects such as valves and the like;
the heating system regulation and control target calculation and decision module receives the control instruction and then carries out screening and identification, finally gives a regulation and control decision, and simultaneously monitors the building temperature characteristic data acquisition module to avoid over regulation.
The invention has the advantages that the temperature data is obtained according to the actual temperature distribution of the building on the demand side, and the temperature interval of the heat supply demand is divided; acquiring deviation between the temperature interval and the expected temperature to determine a weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature; acquiring the temperature distribution diversity of all buildings under different temperature division modes in a heating system regulation object; and establishing a data-driven mapping model, performing regulation and control based on temperature diversity analysis, realizing building of a diversity evaluation index of building temperature, reflecting the temperature distribution characteristics of the demand-side diversified energy consumption information from the system, providing a new idea for accurate regulation and control of the heat supply system as required, and performing accurate regulation and control as required based on temperature diversity analysis according to the established data-driven mapping model of the room temperature diversity of the building of the heat supply system and the relationship between parameters of the control equipment.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in 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 other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a heating system building level regulation method based on temperature diversity analysis in accordance with the present invention;
FIG. 2 is a schematic diagram of a building level regulation method of a heating system based on temperature diversity analysis according to the present invention;
fig. 3 is a schematic block diagram of a heating system building level regulation system based on temperature diversity analysis according to the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent 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.
Example 1
Fig. 1 is a flow chart of a heating system building-level regulation method based on temperature diversity analysis according to the present invention.
As shown in fig. 1, this embodiment 1 provides a heating system building-level regulation and control method based on temperature diversity analysis, including: acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand; acquiring deviation between the temperature interval and the expected temperature to determine a weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature; acquiring the temperature distribution diversity of all buildings under different temperature division modes in a heating system regulation object; and establishing a data-driven mapping model, performing regulation and control based on temperature diversity analysis, realizing building of a diversity evaluation index of building temperature, reflecting the temperature distribution characteristics of the demand-side diversified energy consumption information from the system, providing a new idea for accurate regulation and control of the heat supply system as required, and performing accurate regulation and control as required based on temperature diversity analysis according to the established data-driven mapping model of the room temperature diversity of the building of the heat supply system and the relationship between parameters of the control equipment.
In this embodiment, the method for regulating and controlling the building level of the heating system based on the temperature diversity analysis may be divided into the following steps: step S1, according to the actual temperature distribution situation of the building on the demand side of the heating system, counting the temperature data and dividing the temperature interval of the demand of heating; step S2, analyzing the deviation between the temperature intervals and the expected temperature, determining the weight coefficient of the temperature intervals, and calculating the influence of each temperature interval on the diversity of the building temperature; step S3, calculating the temperature distribution diversity of all buildings under different temperature division modes in the heating system regulation and control object; and step S4, establishing a data-driven mapping model of the relationship between the room temperature diversity of the building level of the heating system and the parameters of the control equipment, and performing regulation and control based on temperature diversity analysis.
Fig. 2 is a schematic diagram of the building-level regulation method of the heating system based on the temperature diversity analysis according to the present invention.
As shown in fig. 2, in the present embodiment, the method for acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heating demand includes: in step S1, according to the actual temperature distribution of the building on the demand side of the heating system, counting the temperature data and dividing the heating demand temperature interval; for different types of buildings at demand sides, the hot user conditions are different, the buildings can be divided into areas, floors, units and rooms, but all temperature data are required to come from the same-level object, an actual data acquisition system covers main users, and the obtained data can reflect the main body temperature condition; the highest temperature in the statistic building data is TmaxMinimum temperature TminTemperature range of TA＝Tmax-TminTemperature range [ T ]max，Tmin]Evenly divided into n temperature intervals:
{[Tmin，T1]，[T1，T2]，[T2，T3]，…，[Tm-1，Tmax]}；
wherein, Tmin＝T0，Tmax＝Tn(ii) a Recording the temperature interval as
Falling within a temperature interval [ Ti-1，Ti]The number of temperature data sets in (1) is zi。
In this embodiment, the temperature acquisition regionThe method for determining the weight coefficient of the temperature intervals according to the deviation of the expected temperature to obtain the influence of each temperature interval on the building temperature diversity comprises the following steps: in step S2, in step S21, the probability that the measured data value falls within the temperature range is obtained; temperature interval i: [ T ]i-1，Ti]Has a weight coefficient of wi(ii) a The desired temperature of the heating system is TeThe actual operation condition of the heating system is determined by the user demand; the expected temperature is the temperature meeting the requirements of users, the larger the deviation between the temperature interval and the expected temperature is, the larger the influence of the interval on the diversity is, the larger the weight coefficient is; by ziThe product of the weight coefficient and the measured data value expresses the weight of the probability, and the probability p that the measured data value falls in the temperature intervaliComprises the following steps:
in this embodiment, the method for determining the weighting factor of the temperature intervals according to the deviation from the expected temperature to obtain the influence of each temperature interval on the building temperature diversity further includes: step S22, obtaining the influence of each temperature interval on the diversity of building temperature, namely the influence d on the diversity caused by the interval iiComprises the following steps:
wherein n is the number of temperature intervals; diIs about piAt (0, 1/e)]Is increased by (1/e, 1)]It is decremented.
In this embodiment, the method for acquiring the temperature distribution diversity of all buildings in the heating system control object in different temperature division modes includes: in step S3: step S31, calculating the relative diversity of the temperature distribution; for the same heat supply system, under different heat supply conditions, the temperature is divided intoThe corresponding diversity conditions are different when the cloth is different, and the relative diversity of the available temperature distribution is expressed; the analysis of the temperature distribution diversity needs to comprehensively consider the influence of the temperature of each interval on the diversity and the relative diversity D of the building temperature distributionrelComprises the following steps:
wherein, for any temperature interval division mode, a summation function D is adoptedrelMaximum of (d) at all diTaking 1/n; meanwhile, the value of relative diversity is (0, 1)]I.e. an interval (0, 1)]Inner functions, which indicate that they can be directly compared mathematically; and diRelated to interval weight, when different temperature interval division methods are carried out on the same building object, the method can be used for expressing the temperature difference of building users under different divisions, namely DrelDifferent states for the same object;
step S32, calculating the universal temperature distribution diversity during regulation and control; when diversity analysis is carried out on different buildings, the difference of temperature distribution ranges and the like among the different buildings cannot be expressed only by considering the relative diversity of the temperature distribution; the actual heating system secondary network can cover commercial buildings and public buildings, the energy utilization requirements of the commercial buildings and the public buildings are different, the temperature ranges of the buildings are different, the diversity expressions are also different, and therefore, the universal temperature distribution diversity D is providedjComprises the following steps:
wherein k is a diversity correction coefficient; alpha is alphajThe dimension of the diversity of the buildings.
Step S33, selecting a system diversity correction coefficient k and a diversity dimension alpha by combining the actual demand and the historical dataj(ii) a In practical use, alphajExpressing the dimension number of each divided temperature interval as information, wherein k is the correction of the comprehensive measurement of each property of the whole system; supply heat to the inhabitants, alphajTake 1, k 1, i.e. regression to the relative diversity of building temperature distributions DrelThe calculation method of (1); for buildings of public buildings and commercial buildings, parameter fitting is carried out by combining the pedestrian flow, the building characteristics, the energy consumption time and the temperature supply historical data, and alpha is generally consideredjTaking the temperature range nT of 0.8-1.5 k and the buildingaAnd are in positive correlation.
In this embodiment, the method for establishing a building-level data-driven mapping model of a heating system and performing regulation and control based on temperature diversity analysis includes: in step S4: step S41, room temperature data diversity data of the building in the operation process of the heating system are obtained, and according to the installation condition of the temperature measuring device and the actual arrangement of the data acquisition system, the temperature data of the building and the room on the demand side of the heating system are obtained according to the step S1; for the area lacking the temperature measuring device, approximation or omission can be performed, or the measurement can be obtained by means of secondary side and outdoor supply and return temperature data by means of simulation and the like. Then, the temperature distribution diversity D of the building is calculated according to the steps S2 and S3jFinally, matching and sorting the calculation results according to the object at the demand side and the system running time, and recording the diversity calculation result at the demand side as
The temperature distribution diversity calculation result data of all buildings are required to be contained;
step S42, obtaining equipment parameters in the operation process of the heating system from the operation database; the method for acquiring the operation data of the heat station mainly comprises the following steps: opening degree theta of primary side valve and temperature t supplied at primary sidePrimary side supplySecondary side temperature tSecondary side supplyThe operation frequency f of the secondary side circulating pump can also be adjusted and controlled according to the actual condition of the heat supply system, including valve state, water supply temperature and other various regulation and control parameters beta in pipe network control;
step S43, establishing a mapping relation between room temperature diversity and actual regulation and control parameters according to the acquired historical data; training a regulation model of a heat supply system by adopting a neural network algorithm, namely fitting the opening theta of a primary side valve of a heat station and the temperature t supplied by the primary sidePrimary side supplySecondary side temperature tSecondary side supplyOperation frequency f of secondary side circulating pump and diversity statistical result
Establishing a data-driven mapping model of various regulation and control parameters and room temperature diversity:
step S44, calculating a set value of the room temperature diversity of the demand side according to the data driving mapping model, and controlling the equipment to enable the regulation and control parameter to track the set value; calculating to obtain the target value of the operation parameters of the thermal power station to be controlled, the opening theta of the primary side valve and the temperature t supplied by the primary side by using the mapping model of the room temperature diversity and the actual regulation and control parameters of S43Primary side supplySecondary side temperature tSecondary side supplyThe operating frequency f of the secondary side circulating pump and the like, the numerical value is transmitted to the control system, the control system adjusts the numerical value to be continuously close to the target value, meanwhile, the temperature distribution diversity is updated and calculated, and finally the temperature distribution diversity D of the target building is enabled to bejCan be stabilized at the set value.
Example 2
On the basis of embodiment 1, this embodiment 2 further provides a data-driven mapping model adopted by the method for regulating and controlling the building level of a heating system based on temperature diversity analysis, including:
wherein the diversity calculation result of the demand side is
The opening of the primary side valve is theta; the temperature supplied at the primary side is tPrimary side supply(ii) a Secondary side temperature supply is tSecondary side supply(ii) a The operating frequency of the secondary side circulating pump is f; the control parameter is beta.
Example 3
Fig. 3 is a schematic block diagram of a heating system building level regulation system based on temperature diversity analysis according to the present invention.
As shown in fig. 3, on the basis of embodiment 1, this embodiment 3 further provides a heating system building-level regulation and control system based on temperature diversity analysis, including: the dividing module is used for acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand; the influence acquisition module is used for acquiring the deviation between the temperature interval and the expected temperature to determine the weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature; the diversity module is used for acquiring the temperature distribution diversity of all buildings under different temperature division modes in the heating system regulation and control object; and the model construction module is used for establishing a data-driven mapping model and carrying out regulation and control based on temperature diversity analysis.
In this embodiment, specific functions of each module have been described in detail in embodiment 1, and are not described in detail in this embodiment.
Example 4
On the basis of embodiment 1, this embodiment 4 still provides a heating system building level regulation and control device based on temperature diversity analysis, includes: the system comprises a building temperature characteristic data acquisition module, a temperature diversity calculation module, a mapping model module for regulating and controlling parameters and diversity, a temperature regulation and control module based on building temperature diversity evaluation and a heating system regulation and control target calculation and decision module;
the building temperature characteristic data acquisition module comprises: the temperature sensors are arranged in a room thermometer and a building, and the building temperature characteristic data acquisition module transmits data to the temperature diversity calculation module; the temperature diversity calculation module is suitable for functions of data transmission, data preprocessing, calculation analysis and the like, and transmits results to the mapping model module for regulating and controlling parameters and diversity and the heating system regulation and control target calculation and decision module; the mapping model module for regulating and controlling the parameters and the diversity obtains the result of the temperature diversity calculation module as input to give the parameters of the target equipment in the actual regulating and controlling process; the temperature regulation and control module based on building temperature diversity evaluation gives control instructions of regulation and control objects such as valves and the like; the heating system regulation and control target calculation and decision module receives the control instruction and then carries out screening and identification, finally gives a regulation and control decision, and simultaneously monitors the building temperature characteristic data acquisition module to avoid over regulation.
The modules are respectively subjected to module packaging, a data transmission channel is established, so that the temperature diversity calculation module and the heating system regulation and control target calculation and decision module can timely extract data of the demand side temperature characteristic data acquisition module, a control target and a method can be provided for the temperature regulation and control module based on demand side diversity evaluation through the mapping model module of regulation and control parameters and diversity, and the heating system regulation and control target calculation and decision module can obtain the most reliable result.
In this embodiment, the heating system building-level regulation and control device based on the temperature diversity analysis is suitable for obtaining the regulation and control decision by adopting the heating system building-level regulation and control method based on the temperature diversity analysis in embodiment 1.
In summary, the temperature data is acquired according to the actual temperature distribution of the building on the demand side, and the temperature interval of the heat supply demand is divided; acquiring deviation between the temperature interval and the expected temperature to determine a weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature; acquiring the temperature distribution diversity of all buildings under different temperature division modes in a heating system regulation object; and establishing a data-driven mapping model, performing regulation and control based on temperature diversity analysis, realizing building of a diversity evaluation index of building temperature, reflecting the temperature distribution characteristics of the demand-side diversified energy consumption information from the system, providing a new idea for accurate regulation and control of the heat supply system as required, and performing accurate regulation and control as required based on temperature diversity analysis according to the established data-driven mapping model of the room temperature diversity of the building of the heat supply system and the relationship between parameters of the control equipment.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. 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 light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (9)
1. A heating system building-level regulation and control method based on temperature diversity analysis is characterized by comprising the following steps:
acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand;
acquiring deviation between the temperature interval and the expected temperature to determine a weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature;
acquiring the temperature distribution diversity of all buildings under different temperature division modes in a heating system regulation object; and
and establishing a data-driven mapping model, and performing regulation and control based on temperature diversity analysis.
2. A heating system building-level regulation method based on temperature diversity analysis as claimed in claim 1,
the method for acquiring temperature data and dividing the temperature interval of the heat supply demand according to the actual temperature distribution of the building on the demand side comprises the following steps:
the highest temperature in the statistic building data is TmaxMinimum temperature TminTemperature range of TA＝Tmax-TminTemperature range [ T ]max，Tmin]Evenly divided into n temperature intervals:
{[Tmin，T1]，[T1，T2]，[T2，T3]，...，[Tn-1，Tmax]}；
wherein, Tmin＝T0，Tmax＝Tn(ii) a Recording temperatureThe interval size is
Falling within a temperature interval [ Ti-1，Ti]The number of temperature data sets in (1) is zi。
3. A heating system building-level regulation method based on temperature diversity analysis as claimed in claim 2,
the method for acquiring the deviation between the temperature interval and the expected temperature to determine the weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the temperature diversity of the building comprises the following steps:
acquiring the probability of the value of the measurement data falling in a temperature interval;
temperature interval i: [ T: [ [ T ]i-1，Ti]Has a weight coefficient of wi；
The desired temperature of the heating system is Te；
The expected temperature is the temperature meeting the requirements of users, the larger the deviation between the temperature interval and the expected temperature is, the larger the influence of the interval on the diversity is, the larger the weight coefficient is;
probability p of measurement data value falling in temperature intervaliComprises the following steps:
4. a heating system building-level regulation method based on temperature diversity analysis as claimed in claim 3,
the method for acquiring the deviation between the temperature interval and the expected temperature to determine the weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the temperature diversity of the building further comprises the following steps:
acquiring the influence d on the diversity of the building temperature caused by each temperature interval, namely the influence d on the diversity caused by the interval iiComprises the following steps:
wherein n is the number of temperature intervals; diIs about piAt (0, 1/e)]Is increased by (1/e, 1)]It is decremented.
5. A heating system building-level regulation method based on temperature diversity analysis as claimed in claim 4,
the method for acquiring the temperature distribution diversity of all buildings under different temperature division modes in the heating system regulation and control object comprises the following steps:
relative diversity of building temperature distribution DrelComprises the following steps:
wherein, for any temperature interval division mode, a summation function D is adoptedrelMaximum of (d) at all diTaking 1/n;
temperature distribution diversity DjComprises the following steps:
wherein k is a diversity correction coefficient; alpha is alphajThe dimension of the diversity of the buildings.
Determining a diversity correction coefficient k and a diversity dimension alpha according to actual requirements and historical dataj。
6. A heating system building-level regulation method based on temperature diversity analysis as claimed in claim 5,
the method for establishing the building-level data-driven mapping model of the heating system and carrying out regulation and control based on temperature diversity analysis comprises the following steps:
acquiring room temperature data diversity data of a building in the operation process of a heat supply system, acquiring temperature data of the building and a room on the demand side of the heat supply system, and acquiring temperature distribution diversity D of the buildingjThen the diversity calculation result on the demand side is
The operation database acquires equipment parameters in the operation process of the heat supply system: opening degree theta of primary side valve and temperature t supplied at primary sidePrimary side supplySecondary side temperature tSecondary side supplyThe operating frequency f and the regulating parameter beta of the secondary side circulating pump;
establishing a data-driven mapping model of various regulation and control parameters and room temperature diversity:
calculating a set value of the diversity of the room temperature on the demand side according to the data driving mapping model, and acquiring the opening theta of a valve on the primary side and the temperature t supplied by the primary side according to the data driving mapping modelPrimary side supplySecondary side temperature tSecondary side supplyAnd updating the temperature distribution diversity according to the target value of the operating frequency f of the secondary side circulating pump to ensure the temperature distribution diversity D of the target buildingjCan be stabilized at the set value.
7. A data-driven mapping model adopted by the building-level regulation and control method of a heating system based on temperature diversity analysis as claimed in claim 1, comprising:
wherein the diversity of the demand side is measuredThe result of calculation is
The opening of the primary side valve is theta; the temperature supplied at the primary side is tPrimary side supply(ii) a Secondary side temperature supply is tSecondary side supply(ii) a The operating frequency of the secondary side circulating pump is f; the control parameter is beta.
8. The utility model provides a heating system building level regulation and control system based on temperature diversity analysis which characterized in that includes:
the dividing module is used for acquiring temperature data according to the actual temperature distribution of the building on the demand side and dividing the temperature interval of the heat supply demand;
the influence acquisition module is used for acquiring the deviation between the temperature interval and the expected temperature to determine the weight coefficient of the temperature interval so as to acquire the influence of each temperature interval on the diversity of the building temperature;
the diversity module is used for acquiring the temperature distribution diversity of all buildings under different temperature division modes in the heating system regulation and control object; and
and the model construction module is used for establishing a data-driven mapping model and carrying out regulation and control based on temperature diversity analysis.
9. The utility model provides a heating system building level regulation and control device based on temperature diversity analysis which characterized in that includes:
the system comprises a building temperature characteristic data acquisition module, a temperature diversity calculation module, a mapping model module for regulating and controlling parameters and diversity, a temperature regulation and control module based on building temperature diversity evaluation and a heating system regulation and control target calculation and decision module;
the building temperature characteristic data acquisition module comprises: the temperature sensors are arranged in a room thermometer and a building, and the building temperature characteristic data acquisition module transmits data to the temperature diversity calculation module;
the temperature diversity calculation module is suitable for functions of data transmission, data preprocessing, calculation analysis and the like, and transmits results to the mapping model module for regulating and controlling parameters and diversity and the heating system regulation and control target calculation and decision module;
the mapping model module for regulating and controlling the parameters and the diversity obtains the result of the temperature diversity calculation module as input to give the parameters of the target equipment in the actual regulating and controlling process;
the temperature regulation and control module based on building temperature diversity evaluation gives control instructions of regulation and control objects such as valves and the like;
the heating system regulation and control target calculation and decision module receives the control instruction and then carries out screening and identification, finally gives a regulation and control decision, and simultaneously monitors the building temperature characteristic data acquisition module to avoid over regulation.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117366663A (en) * | 2023-12-06 | 2024-01-09 | 苏州博墨热能产品有限公司 | Heat supply regulation control system in building |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108240679A (en) * | 2018-02-22 | 2018-07-03 | 烟台科创捷能机电工程有限公司 | A kind of heat supply method based on building heating load prediction, device and system |
| CN109243547A (en) * | 2018-07-09 | 2019-01-18 | 河海大学 | A kind of air conditioner load group demand response potentiality quantitative evaluating method |
| CN109270841A (en) * | 2018-10-11 | 2019-01-25 | 东北电力大学 | A kind of energy flexibility regulation method of the intelligent building based on Model Predictive Control |
| CN109340900A (en) * | 2018-10-11 | 2019-02-15 | 瑞纳智能设备股份有限公司 | Secondary side heat supply Automatic Balance Regulation method based on supply and return water riser |
| US20210148592A1 (en) * | 2019-11-18 | 2021-05-20 | Johnson Controls Technology Company | Building cooling systems with energy optimization and model predictive control |
-
2021
- 2021-08-26 CN CN202110986888.0A patent/CN113701232B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108240679A (en) * | 2018-02-22 | 2018-07-03 | 烟台科创捷能机电工程有限公司 | A kind of heat supply method based on building heating load prediction, device and system |
| CN109243547A (en) * | 2018-07-09 | 2019-01-18 | 河海大学 | A kind of air conditioner load group demand response potentiality quantitative evaluating method |
| CN109270841A (en) * | 2018-10-11 | 2019-01-25 | 东北电力大学 | A kind of energy flexibility regulation method of the intelligent building based on Model Predictive Control |
| CN109340900A (en) * | 2018-10-11 | 2019-02-15 | 瑞纳智能设备股份有限公司 | Secondary side heat supply Automatic Balance Regulation method based on supply and return water riser |
| US20210148592A1 (en) * | 2019-11-18 | 2021-05-20 | Johnson Controls Technology Company | Building cooling systems with energy optimization and model predictive control |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117366663A (en) * | 2023-12-06 | 2024-01-09 | 苏州博墨热能产品有限公司 | Heat supply regulation control system in building |
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