CN115542824B - Central air conditioning unit control method and system based on energy consumption management and control - Google Patents
Central air conditioning unit control method and system based on energy consumption management and control Download PDFInfo
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Abstract
The invention relates to the technical field of control management, and provides a central air conditioning unit control method and system based on energy consumption management and control, wherein the method comprises the following steps: connecting an air conditioner energy consumption management system to extract energy consumption data, acquiring an air conditioner energy consumption data set, classifying to obtain a plurality of energy consumption management blocks, and performing energy consumption similarity analysis to obtain a plurality of energy consumption similarity coefficients; merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks; the energy consumption control method has the advantages that the synchronous control parameters are obtained through the energy consumption merging blocks, the sub-blocks of each energy consumption merging block in the energy consumption merging blocks are controlled, the technical problems that the management precision of the central air conditioning unit control is not high, the effect is poor, and the energy saving control cannot be implemented are solved, the energy consumption synchronous hierarchical management is achieved, the management precision of the central air conditioning unit control is improved, the management effect of the central air conditioning unit is optimized, and the technical effect of the central air conditioning unit energy saving management is achieved.
Description
Technical Field
The invention relates to the technical field related to control management, in particular to a central air conditioning unit control method and system based on energy consumption management and control.
Background
The BIM (building information model) is commonly used in the whole building construction process, and the air conditioning system can perform directional control on the temperature in the target space.
However, the logic of the air conditioner is fixed (generally including low temperature alarm and temperature control, namely when the temperature of the surface cooler is measured by wind and is lower than 5 ℃, after the surface cooler alarms, the unit is closed, the water valve is fully opened, the heat recovery air valve is fully opened, the exhaust valve is fully closed, and the temperature control is that the water valve (cold and hot water pipe) is adjusted according to the difference between the air supply temperature and the air supply temperature set value, specifically, the water valve is closed when the temperature is higher than the set value in winter and is opened when the temperature is lower than the set value, the water valve is opened when the temperature is higher than the set value in summer and is closed when the temperature is lower than the set value), the system function requirement is delayed, meanwhile, the central air conditioner unit control is mostly adjusted and controlled along with the change of the site temperature, and the energy consumption management precision of the central air conditioner unit control is not high.
In summary, it is urgently needed to construct a central air conditioning unit control system meeting relevant energy-saving standards, to perform high-precision management on energy consumption, to improve the overall control efficiency of the central air conditioning unit, and to optimize the management effect of the central air conditioning unit, so as to realize energy-saving management of the central air conditioning unit.
In summary, the technical problems of low management precision, poor effect and incapability of realizing energy-saving management and control in the prior art exist in the control of the central air conditioning unit.
Disclosure of Invention
The application provides a central air conditioning unit control method and system based on energy consumption management and control, and aims to solve the technical problems that in the prior art, the central air conditioning unit control is low in management precision and poor in effect, and energy-saving management and control cannot be achieved.
In view of the foregoing problems, the embodiments of the present application provide a method and a system for controlling a central air conditioning unit based on energy consumption management and control.
In a first aspect of the present disclosure, a central air conditioning unit control method based on energy consumption management and control is provided, where the method is applied to a central air conditioning unit control system, the central air conditioning unit control system is in communication connection with an air conditioning energy consumption management system, and the method includes: connecting the air conditioner energy consumption management system to extract energy consumption data, and acquiring an air conditioner energy consumption data set; classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks, wherein each energy consumption management block corresponds to one unit device; performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients; merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks, wherein each merged block in the energy consumption merged blocks at least comprises one unit device; acquiring synchronous control parameters by the energy consumption merging blocks; and controlling the sub-blocks of each energy consumption merging block in the plurality of energy consumption merging blocks according to the synchronous control parameters.
In another aspect of the present disclosure, a central air conditioning unit control system based on energy consumption management and control is provided, wherein the method includes: the energy consumption data extraction module is used for connecting the air conditioner energy consumption management system to extract energy consumption data and obtain an air conditioner energy consumption data set; the data classification module is used for classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks, wherein each energy consumption management block corresponds to one unit device; the energy consumption similarity analysis module is used for carrying out energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients; the block merging module is used for merging the energy consumption management blocks according to the energy consumption similarity coefficients and outputting a plurality of energy consumption merging blocks, wherein each merging block in the energy consumption merging blocks at least comprises one unit device; a control parameter obtaining module, configured to obtain a synchronous control parameter according to the multiple energy consumption combining blocks; and the energy consumption control module is used for controlling the sub-blocks of each energy consumption merging block in the plurality of energy consumption merging blocks according to the synchronous control parameters.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the energy consumption data is extracted by connecting an air conditioner energy consumption management system, so that an air conditioner energy consumption data set is obtained; classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks; performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients; merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks; acquiring synchronous control parameters by using a plurality of energy consumption merging blocks; the sub-blocks of each energy consumption merging block in the energy consumption merging blocks are controlled according to the synchronous control parameters, so that the technical effects of merging, managing and controlling energy consumption of the same level aiming at energy consumption information, carrying out synchronous hierarchical management on the energy consumption, improving the management precision of the control of the central air conditioning unit, optimizing the management effect of the central air conditioning unit and realizing the energy-saving management of the central air conditioning unit are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart of a possible method for controlling a central air conditioning unit based on energy consumption management and control according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating a possible process of obtaining a plurality of energy consumption similarity coefficients in a central air conditioning unit control method based on energy consumption management and control according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating a possible process of outputting a plurality of energy consumption combined blocks in a central air conditioning unit control method based on energy consumption management and control according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a possible structure of a central air conditioning unit control system based on energy consumption management and control according to an embodiment of the present application.
Description of reference numerals: the energy consumption data processing system comprises an energy consumption data extraction module 100, a data classification module 200, an energy consumption similarity analysis module 300, a block merging module 400, a control parameter acquisition module 500 and an energy consumption control module 600.
Detailed Description
The technical scheme provided by the application has the following general idea:
the embodiment of the application provides a method for restraining the working parameters of each unit of a central air conditioning unit through the working scene parameters to obtain the restraint intervals of the working parameters of each unit; and further constructing an energy consumption constraint condition according to the mapping relation between the energy consumption and the working parameters of the central air conditioning unit, and selecting the working parameter value with smaller energy consumption based on the constraint interval of the working parameters of each unit to control the air conditioning unit.
Having described the principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a central air conditioning unit control method based on energy consumption management and control, where the method is applied to a central air conditioning unit control system, the central air conditioning unit control system is in communication connection with an air conditioning energy consumption management system, and the method includes:
s10: connecting the air conditioner energy consumption management system to extract energy consumption data, and acquiring an air conditioner energy consumption data set;
s20: classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks, wherein each energy consumption management block corresponds to one unit device;
specifically, for a target building, one or more cold and heat source stations are arranged in the whole building, and cold and heat media for air conditioners are conveyed to air treatment equipment, namely the central air conditioning unit, which is dispersedly arranged through pipelines, wherein the energy consumption data of the air conditioning energy consumption management system comprises related parameter indexes such as refrigeration/heat, operating power and the like, and the communication connection is simply formed by signal transmission interaction between the central air conditioning unit control system and the air conditioning energy consumption management system;
the central air conditioning unit control system is in communication connection with the air conditioning energy consumption management system, the air conditioning energy consumption management system collects energy consumption data in the operation process of the central air conditioning unit, the central air conditioning unit control system is connected with the air conditioning energy consumption management system, energy consumption data are extracted through a communication network formed after connection, an air conditioning energy consumption data set is obtained, and each element of the air conditioning energy consumption data set corresponds to energy consumption data of each time point of the air conditioning operation state;
on the basis, a cold and hot energy source station arranged inside the target building is determined, and the unit equipment of the cold and hot energy source station is commonly as follows: the system comprises a water chilling unit, a chilled water pump, a cooling tower, a boiler and a hot water pump, wherein equipment partitioning is performed on each group of unit equipment, each energy consumption management block corresponds to one unit equipment, and correspondingly, according to the equipment partitioning (the distribution condition of a certain cold and hot energy resource station in a target building), the air conditioner energy consumption data set is classified to obtain a plurality of energy consumption management blocks, so that a data basis is provided for subsequent data analysis.
S30: performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients;
as shown in fig. 2, step S30 includes the steps of:
s31: obtaining energy consumption data sets corresponding to the energy consumption management blocks;
s32: classifying the energy consumption data sets corresponding to the blocks to obtain an equipment fixed energy consumption data set and an equipment dynamic energy consumption data set of each group of blocks;
s33: performing Tanimoto similarity calculation on each block by using the equipment fixed energy consumption data set and the equipment dynamic energy consumption data set, and outputting a similarity calculation result, wherein the similarity calculation result comprises fixed energy consumption similarity and dynamic energy consumption similarity;
s34: and obtaining the plurality of energy consumption similarity coefficients based on the fixed energy consumption similarity and the dynamic energy consumption similarity.
Specifically, performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients, specifically including: the elements of the fixed energy consumption mapping data set are fixed energy consumption at each time point, namely energy consumption of a machine (such as size of a machine type, current-limiting rated voltage, connection conductor attribute, equipment power and the like), the elements of the dynamic energy consumption mapping data set are dynamic energy consumption at each time point, namely external energy consumption (such as real-time temperature of a working environment, running time and the like), and the similarity calculation result comprises fixed energy consumption similarity and dynamic energy consumption similarity;
mapping and partitioning the air conditioner energy consumption data set according to the energy consumption management blocks to obtain energy consumption data sets corresponding to the blocks (cold and hot media output by cold and hot energy stations are conveyed to air treatment equipment which is dispersedly arranged through air conditioner pipelines, and energy pipelines in the same partition belong to the same cold and hot energy station, wherein the cold and hot media are cold water and hot water generally); classifying the energy consumption data sets corresponding to the blocks to obtain an equipment fixed energy consumption data set and an equipment dynamic energy consumption data set of each group of blocks; carrying out Tanimoto similarity calculation on each block by using the equipment fixed energy consumption data set and the equipment dynamic energy consumption data set, and outputting a similarity calculation result; and traversing the energy consumption data sets corresponding to the blocks to calculate similarity, and obtaining a plurality of energy consumption similarity coefficients based on the fixed energy consumption similarity and the dynamic energy consumption similarity (the energy consumption similarity comprises the fixed energy consumption similarity and the dynamic energy consumption similarity), so as to provide support for subsequent data analysis.
Step S32 includes the steps of:
s321: acquiring a fixed energy consumption mapping data group based on an energy consumption index source and the data size according to the equipment fixed energy consumption data set;
s322: acquiring a dynamic energy consumption mapping data group based on an energy consumption index source and data size according to the equipment dynamic energy consumption data set;
s323: and taking the fixed energy consumption mapping data group and the dynamic energy consumption mapping data group as data for similarity calculation.
Step S33 includes the steps of:
s331: the energy consumption similarity calculation formula between every two blocks is as follows:
wherein is present>
The energy consumption similarity of the first block A and the second block B is obtained; />
Matching number for the fixed energy consumption index of the first block; />
Matching the number of the dynamic energy consumption indexes of the first block;
for a fixed energy consumption indicator matching number for the second block>
Being a second blockDynamic energy consumption index matching quantity.
Specifically, classifying the energy consumption data sets corresponding to the multiple blocks to obtain the device fixed energy consumption data set and the device dynamic energy consumption data set of each group of blocks specifically includes: performing data classification (the fixed energy consumption is marked as 0, and the data can be classified quickly) through the equipment fixed energy consumption data set, and acquiring a fixed energy consumption mapping data set based on an energy consumption index source and the data size, wherein the fixed energy consumption mapping data set = { fixed energy consumption of a first block A, fixed energy consumption of a second block B, fixed energy consumption of a third block C, … … and fixed energy consumption of an Nth block }; according to the dynamic energy consumption data set of the equipment, carrying out data classification (the dynamic energy consumption is marked as 1, and the data rapid classification can be realized), and obtaining a dynamic energy consumption mapping data set based on an energy consumption index source and the data size, wherein the dynamic energy consumption mapping data set = { the dynamic energy consumption of a first block A, the dynamic energy consumption of a second block B, the dynamic energy consumption of a third block C, … … and the dynamic energy consumption of an Nth block }, and the energy consumption index source and the data size are mapped and associated with each other; taking the fixed energy consumption mapping data group and the dynamic energy consumption mapping data group as data for similarity calculation, and providing data support for subsequent similarity calculation;
performing Tanimoto similarity calculation on each block by using the device fixed energy consumption data set and the device dynamic energy consumption data set, and outputting a similarity calculation result, which specifically comprises the following steps: the energy consumption similarity calculation formula between every two blocks is as follows:
wherein is present>
The energy consumption similarity of the first block A and the second block B; />
For a fixed energy consumption index matching number (A) of the first block 1 ∈N * ）；/>
Matching number (A) for dynamic energy consumption index of first block 2 ∈N * ）；/>
For a fixed energy consumption index matching number (B) of the second block 1 ∈N * ），/>
Matching number of dynamic energy consumption index for second block (B) 2 ∈N * ) The first block a and the second block B are any two groups of blocks that need to perform energy consumption similarity calculation (specifically, N blocks perform energy consumption similarity calculation, and N-1 energy consumption similarities can be obtained, where the N-1 energy consumption similarities include: the energy consumption similarity of the first block A and the second block B, the energy consumption similarity of the second block B and the third block C, and the energy consumption similarity of … …, the N-1 block and the N block), and the similarity calculation formula indexes are substituted into verification, so that support is provided for guaranteeing the accuracy of the energy consumption similarity calculation analysis.
S40: merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks, wherein each merged block in the energy consumption merged blocks at least comprises one unit device;
as shown in fig. 3, step S40 includes the steps of:
s41: performing similarity threshold analysis on the multiple energy consumption similarity coefficients to obtain a similar interval;
s42: carrying out step grading according to the similar intervals to obtain a plurality of similar subintervals;
s43: and partitioning the energy consumption similar coefficients based on the similar subintervals to obtain energy consumption management blocks respectively corresponding to the similar subintervals, and merging the energy consumption management blocks belonging to the same similar subintervals.
Specifically, merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks includes: each merging block in the energy consumption merging blocks at least comprises a set device (the energy consumption characteristics in each merging block are similar, for example, the fixed energy consumption and the dynamic energy consumption have high similarity, the set device can be a water chilling unit, a chilled water pump, a cooling tower or any other set device in a cold and hot energy station), the similar threshold is a preset parameter index, the similar threshold comprises a plurality of threshold sections (the plurality of threshold sections are [0,0.2 ], [0.2,0.4 ], [0.4,0.6 ], [0.6,0.8 ], [0.8,1), and the preset index can be correspondingly set according to the distribution of the energy consumption similar coefficients);
performing similar threshold analysis on the multiple energy consumption similar coefficients, determining that the multiple energy consumption similar coefficients belong to a certain interval range in multiple sections of threshold intervals, taking corresponding sectional information as marking data, performing threshold partition marking on the multiple energy consumption similar coefficients to obtain similar intervals (if similar thresholds are [0,0.2 ], [0.2,0.4), [0.4,0.6), [0.6,0.8), [0.8,1), performing threshold partition marking on the energy consumption similar coefficients, and taking [0.4,0.6) as marking content); step grading is carried out on the similar intervals through threshold value partition marks to obtain a plurality of similar subintervals (such as marked content siblings [0.4,0.6 ]), the similar subintervals are classified to the same step, and corresponding energy consumption similar coefficients are mapped to the same interval aiming at the same step to obtain the similar subintervals); the energy consumption similar coefficients are partitioned based on the similar subintervals (the energy consumption similar coefficients are partitioned, a foundation is provided for energy consumption management aiming at energy consumption information, generally, energy conservation needs to be carried out on ensuring that a unit operates at higher efficiency, and accurate regulation and control management needs to be carried out), energy consumption management blocks respectively corresponding to the similar subintervals are obtained (namely, a water chilling unit, a chilled water pump, a cooling tower, a boiler and a hot water pump are subjected to stepped partitioning according to energy consumption, and the energy consumption grades of the same partition have consistency), the energy consumption management blocks belonging to the same similar subintervals are combined, and support is provided for energy consumption management aiming at related energy saving standards (such as common public building energy saving design standard GB 50189-2015 clause 5.4).
S50: acquiring synchronous control parameters by the energy consumption merging blocks;
s60: and controlling the sub-blocks of each energy consumption merging block in the plurality of energy consumption merging blocks according to the synchronous control parameters.
Step S50 includes the steps of:
s51: acquiring a first energy consumption merging block and a second energy consumption merging block … … Nth energy consumption merging block of the plurality of energy consumption merging blocks;
s52: analyzing the number of the sub-blocks in the first energy consumption merging block and the second energy consumption merging block … … Nth energy consumption merging block respectively to obtain M energy consumption merging blocks of which the number of the sub-blocks is more than or equal to 2, wherein N, M is a positive integer more than 0, and N is more than or equal to M;
s53: and acquiring the synchronization control parameters based on the M energy consumption merging blocks, wherein the synchronization control parameters comprise M groups of control parameter sets, each group of control parameter set comprises a plurality of control subsets, and each control subset corresponds to one unit device.
Specifically, the acquiring the synchronization control parameter with the plurality of energy consumption combining blocks includes: n, M are positive integers greater than 0, N is greater than or equal to M, the synchronous control parameters include M sets of control parameter sets, each set of control parameter set includes a plurality of control subsets, each control subset corresponds to a unit device, the synchronous control parameters further include Z independent control parameters, each independent control parameter corresponds to a unit device, and generally, the synchronous control parameters may be acquisition frequency of synchronous acquisition control, early warning condition judgment frequency of synchronous early warning control, and retrieval extraction frequency of synchronous call control;
acquiring a first energy consumption combination block and a second energy consumption combination block … … Nth energy consumption combination block of the plurality of energy consumption combination blocks; analyzing the number of the sub-blocks in the first energy consumption merging block and the second energy consumption merging block … … nth energy consumption merging block respectively to obtain M energy consumption merging blocks with the number of the sub-blocks being greater than or equal to 2 (specifically, Z energy consumption merging blocks with the number of the sub-blocks being equal to 1 are synchronously controlled without independently performing index setting); and acquiring the synchronous control parameters based on the M energy consumption merging blocks, and controlling the sub-blocks of each energy consumption merging block in the plurality of energy consumption merging blocks according to the synchronous control parameters to provide support for implementing index synchronous control.
Further, the embodiment of the present application further includes:
s71: building a synchronous controller, wherein the synchronous controller comprises synchronous acquisition control, synchronous early warning control and synchronous calling control;
s72: and giving synchronous control authority to the M energy consumption merging blocks, and connecting control terminals of the M energy consumption merging blocks with a terminal of the synchronous controller so as to realize synchronous control on each sub-block in the M energy consumption merging blocks.
Specifically, the synchronous controller includes synchronous acquisition control (acquisition frequency is set synchronously, and may be set to 1Hz or other values, which provides support for synchronous management), synchronous early warning control (linked with related devices such as a siren, and gives an alarm after meeting early warning conditions) (the early warning conditions may be related energy consumption limiting rules such as daily energy consumption exceeding a daily energy consumption threshold, monthly energy consumption exceeding a monthly energy consumption threshold, and the like), and synchronous call control (the synchronous call control object may be the retrieval and extraction frequency of the data retrieval and extraction engine);
building a synchronous controller, wherein the acquisition frequency of synchronous acquisition control, the early warning condition judgment frequency of synchronous early warning control and the retrieval extraction frequency of synchronous calling control in the synchronous controller meet the synchronous control; the M energy consumption merging blocks are endowed with synchronous control authority (the synchronous control authority is administrator level authority, the user can perform user-defined management only after management identity authentication is performed on the user, and the initialized synchronous control authority is suitable for various building areas of 5000M 2 The following small and medium-sized buildingsConnecting the control terminals of the M energy consumption merging blocks with the terminal of the synchronous controller, so that each sub-block in the M energy consumption merging blocks realizes synchronous control, and support is provided for ensuring the synchronism of control instructions;
after the user needs to manage identity authentication, the user can perform custom management, which is particularly described as follows: the method has the advantages that other problems that a user is not operated properly, the acquisition frequency of synchronous acquisition control is lower than the acquisition speed, the acquired transaction does not reach an expected end point, the acquired transaction is possibly in an incorrect state and the like are avoided, generally, under the condition that the acquired transaction does not reach the expected end point, the central air conditioning unit control system is switched to a recovery program, the acquired transaction can be rolled back (rollback) forcibly, namely any modification executed by the acquired transaction is cancelled, the acquired transaction is not started as well, and support is provided for protecting data safety.
To sum up, the method and the system for controlling the central air conditioning unit based on energy consumption management and control provided by the embodiment of the application have the following technical effects:
1. the energy consumption data is extracted by connecting an air conditioner energy consumption management system, so that an air conditioner energy consumption data set is obtained; classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks; performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients; merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks; acquiring synchronous control parameters by using a plurality of energy consumption merging blocks; according to the method and the system for controlling the central air conditioning unit based on energy consumption management and control, the purpose of carrying out merging management and control on energy consumption of the same level aiming at energy consumption information and carrying out synchronous hierarchical management on energy consumption is achieved, the management precision of the control of the central air conditioning unit is improved, the management effect of the central air conditioning unit is optimized, and the technical effect of energy-saving management of the central air conditioning unit is achieved.
2. The method comprises the steps that a first energy consumption merging block and a second energy consumption merging block … … Nth energy consumption merging block which are used for obtaining a plurality of energy consumption merging blocks are adopted, and the number of sub-blocks is analyzed respectively to obtain M energy consumption merging blocks of which the number of the sub-blocks is more than or equal to 2; and acquiring synchronous control parameters based on the M energy consumption merging blocks to provide support for realizing index synchronous control.
Example two
Based on the same inventive concept as the method for controlling a central air conditioning unit based on energy consumption management and control in the foregoing embodiment, as shown in fig. 4, an embodiment of the present application provides a system for controlling a central air conditioning unit based on energy consumption management and control, wherein the system includes:
the energy consumption data extraction module 100 is used for connecting an air conditioner energy consumption management system to extract energy consumption data and obtain an air conditioner energy consumption data set;
the data classification module 200 is configured to classify the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks, where each energy consumption management block corresponds to one unit device;
the energy consumption similarity analysis module 300 is configured to perform energy consumption similarity analysis based on the multiple energy consumption management blocks to obtain multiple energy consumption similarity coefficients;
a block merging module 400, configured to merge the energy consumption management blocks according to the energy consumption similarity coefficients and output a plurality of energy consumption merged blocks, where each of the energy consumption merged blocks includes at least one unit device;
a control parameter obtaining module 500, configured to obtain a synchronization control parameter according to the multiple energy consumption combining blocks;
the energy consumption control module 600 is configured to control a sub-block of each energy consumption combining block of the plurality of energy consumption combining blocks according to the synchronization control parameter.
Further, the system comprises:
an energy consumption merge block acquisition module, configured to acquire a first energy consumption merge block and a second energy consumption merge block … … nth energy consumption merge block of the multiple energy consumption merge blocks;
the sub-block number analysis module is used for respectively analyzing the number of sub-blocks in the first energy consumption merged block and the second energy consumption merged block … … Nth energy consumption merged block to obtain M energy consumption merged blocks of which the number of the sub-blocks is more than or equal to 2, wherein N, M is a positive integer which is more than 0, and N is more than or equal to M;
a synchronization control parameter obtaining module, configured to obtain the synchronization control parameter based on the M energy consumption combining blocks, where the synchronization control parameter includes M groups of control parameter sets, each group of control parameter set includes multiple control subsets, and each control subset corresponds to one unit device.
Further, the system comprises:
the synchronous controller building module is used for building a synchronous controller, wherein the synchronous controller comprises synchronous acquisition control, synchronous early warning control and synchronous calling control;
and the synchronous control module is used for endowing the M energy consumption merging blocks with synchronous control authority and connecting the control terminals of the M energy consumption merging blocks with the terminal of the synchronous controller so as to realize synchronous control on each sub-block in the M energy consumption merging blocks.
Further, the system comprises:
the energy consumption data set acquisition module is used for acquiring energy consumption data sets corresponding to the plurality of blocks according to the plurality of energy consumption management blocks;
the data classification module is used for classifying the energy consumption data sets corresponding to the blocks to obtain an equipment fixed energy consumption data set and an equipment dynamic energy consumption data set of each group of blocks;
the similarity calculation result output module is used for carrying out Tanimoto similarity calculation on each block by using the equipment fixed energy consumption data set and the equipment dynamic energy consumption data set and outputting a similarity calculation result, wherein the similarity calculation result comprises fixed energy consumption similarity and dynamic energy consumption similarity;
and the energy consumption similarity coefficient acquisition module is used for acquiring the plurality of energy consumption similarity coefficients based on the fixed energy consumption similarity and the dynamic energy consumption similarity.
Further, the system comprises:
the fixed energy consumption mapping data group acquisition module is used for acquiring a fixed energy consumption mapping data group based on an energy consumption index source and data size according to the equipment fixed energy consumption data set;
the dynamic energy consumption mapping data set acquisition module is used for acquiring a dynamic energy consumption mapping data set based on an energy consumption index source and data size according to the equipment dynamic energy consumption data set;
and the similarity calculation data determining module is used for taking the fixed energy consumption mapping data group and the dynamic energy consumption mapping data group as data for similarity calculation.
Further, the system comprises:
the similarity calculation module is used for calculating the energy consumption similarity between every two blocks according to the following formula:
wherein is present>
The energy consumption similarity of the first block A and the second block B is obtained; />
Matching number for the fixed energy consumption index of the first block; />
Matching the number of the dynamic energy consumption indexes of the first block;
for a fixed energy consumption indicator matching number, for the second block>
The number of dynamic energy consumption index matches for the second block.
Further, the system comprises:
the similarity threshold analysis module is used for carrying out similarity threshold analysis on the multiple energy consumption similarity coefficients to obtain a similarity interval;
the step grading module is used for carrying out step grading according to the similar intervals to obtain a plurality of similar subintervals;
and the energy consumption management block merging module is used for partitioning the plurality of energy consumption similarity coefficients based on the similar subintervals, acquiring energy consumption management blocks respectively corresponding to the plurality of similar subintervals, and merging the energy consumption management blocks belonging to the same similar subintervals.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be identified by a non-limiting computer processor call to implement any of the methods in the embodiments of the present application, without unnecessary limitation.
Furthermore, in summary, the first or second may not only represent an order relationship, but also may represent a specific concept and/or may indicate that a plurality of elements may be individually or collectively selected. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (7)
1. A central air conditioning unit control method based on energy consumption management and control is characterized in that the method is applied to a central air conditioning unit control system, the central air conditioning unit control system is in communication connection with an air conditioning energy consumption management system, and the method comprises the following steps:
connecting the air conditioner energy consumption management system to extract energy consumption data, and acquiring an air conditioner energy consumption data set;
classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks, wherein each energy consumption management block corresponds to one unit device;
performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients;
merging the energy consumption management blocks according to the energy consumption similarity coefficients, and outputting a plurality of energy consumption merged blocks, wherein each merged block in the energy consumption merged blocks at least comprises one unit device;
acquiring synchronous control parameters by the energy consumption merging blocks;
controlling a sub-block of each energy consumption merging block in the plurality of energy consumption merging blocks according to the synchronous control parameter;
wherein, performing energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients, including:
obtaining energy consumption data sets corresponding to the energy consumption management blocks;
classifying the energy consumption data sets corresponding to the blocks to obtain an equipment fixed energy consumption data set and an equipment dynamic energy consumption data set of each group of blocks;
performing Tanimoto similarity calculation on each block by using the equipment fixed energy consumption data set and the equipment dynamic energy consumption data set, and outputting a similarity calculation result, wherein the similarity calculation result comprises fixed energy consumption similarity and dynamic energy consumption similarity;
and obtaining the plurality of energy consumption similarity coefficients based on the fixed energy consumption similarity and the dynamic energy consumption similarity.
2. The method of claim 1, wherein the method further comprises:
acquiring a first energy consumption combination block and a second energy consumption combination block … … Nth energy consumption combination block of the plurality of energy consumption combination blocks;
analyzing the number of the sub-blocks in the first energy consumption merging block and the second energy consumption merging block … … Nth energy consumption merging block respectively to obtain M energy consumption merging blocks of which the number of the sub-blocks is more than or equal to 2, wherein N, M is a positive integer more than 0, and N is more than or equal to M;
and acquiring the synchronization control parameters based on the M energy consumption merging blocks, wherein the synchronization control parameters comprise M groups of control parameter sets, each group of control parameter set comprises a plurality of control subsets, and each control subset corresponds to one unit device.
3. The method of claim 2, wherein the method further comprises:
building a synchronous controller, wherein the synchronous controller comprises synchronous acquisition control, synchronous early warning control and synchronous calling control;
and giving synchronous control authority to the M energy consumption merging blocks, and connecting control terminals of the M energy consumption merging blocks with a terminal of the synchronous controller so as to realize synchronous control on each sub-block in the M energy consumption merging blocks.
4. The method of claim 1, wherein the method further comprises:
acquiring a fixed energy consumption mapping data group based on an energy consumption index source and the data size according to the equipment fixed energy consumption data set;
acquiring a dynamic energy consumption mapping data group based on an energy consumption index source and the data size according to the equipment dynamic energy consumption data set;
and taking the fixed energy consumption mapping data group and the dynamic energy consumption mapping data group as data for similarity calculation.
5. The method of claim 4, wherein the energy consumption similarity between every two blocks is calculated as follows:
wherein, T (A, B) is the energy consumption similarity of the first block A and the second block B; a. The 1 Matching number for the fixed energy consumption index of the first block; a. The 2 Matching number for the dynamic energy consumption index of the first block; b is 1 Fixed energy consumption for the second blockNumber of matches, B 2 The number of dynamic energy consumption index matches for the second block.
6. The method of claim 1, wherein the consolidating the plurality of energy consumption management blocks according to the plurality of energy consumption similarity factors, the method further comprising:
performing similarity threshold analysis on the multiple energy consumption similarity coefficients to obtain a similarity interval;
carrying out step grading according to the similar intervals to obtain a plurality of similar subintervals;
and partitioning the energy consumption similarity coefficients based on the similar subintervals to obtain energy consumption management blocks respectively corresponding to the similar subintervals, and merging the energy consumption management blocks belonging to the same similar subintervals.
7. The central air conditioning unit control system based on energy consumption management and control is used for implementing the central air conditioning unit control method based on energy consumption management and control of any one of claims 1-6, and comprises the following steps:
the energy consumption data extraction module is used for connecting the air conditioner energy consumption management system to extract energy consumption data and obtain an air conditioner energy consumption data set;
the data classification module is used for classifying the air conditioner energy consumption data set to obtain a plurality of energy consumption management blocks, wherein each energy consumption management block corresponds to one unit device;
the energy consumption similarity analysis module is used for carrying out energy consumption similarity analysis based on the energy consumption management blocks to obtain a plurality of energy consumption similarity coefficients;
the block merging module is used for merging the energy consumption management blocks according to the energy consumption similarity coefficients and outputting a plurality of energy consumption merging blocks, wherein each merging block in the energy consumption merging blocks at least comprises one unit device;
a control parameter obtaining module, configured to obtain a synchronization control parameter with the multiple energy consumption combining blocks;
the energy consumption control module is used for controlling the sub-blocks of each energy consumption merging block in the plurality of energy consumption merging blocks according to the synchronous control parameters;
wherein the energy consumption similarity analysis module comprises:
the energy consumption data set acquisition module is used for acquiring energy consumption data sets corresponding to the plurality of blocks according to the plurality of energy consumption management blocks;
the data classification module is used for classifying the energy consumption data sets corresponding to the blocks to obtain an equipment fixed energy consumption data set and an equipment dynamic energy consumption data set of each group of blocks;
the similarity calculation result output module is used for performing Tanimoto similarity calculation on each block by using the equipment fixed energy consumption data set and the equipment dynamic energy consumption data set and outputting a similarity calculation result, wherein the similarity calculation result comprises fixed energy consumption similarity and dynamic energy consumption similarity;
and the energy consumption similarity coefficient acquisition module is used for acquiring the plurality of energy consumption similarity coefficients based on the fixed energy consumption similarity and the dynamic energy consumption similarity.
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