CN112862181B - Heating unit energy-saving operation control system and method based on block chain - Google Patents

Heating unit energy-saving operation control system and method based on block chain Download PDF

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CN112862181B
CN112862181B CN202110153743.2A CN202110153743A CN112862181B CN 112862181 B CN112862181 B CN 112862181B CN 202110153743 A CN202110153743 A CN 202110153743A CN 112862181 B CN112862181 B CN 112862181B
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blockchain
kpx
energy
heat transfer
heating unit
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CN112862181A (en
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祁红波
陈晨
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00—Details
    • F24D19/10—Arrangement or mounting of control or safety devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/35—Utilities, e.g. electricity, gas or water
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/20—Analytics; Diagnosis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

Abstract

The invention relates to a heating unit energy-saving operation control system and a method based on a block chain, wherein the heating unit energy-saving operation control system comprises: a plurality of heating units and a plurality of block chain chips; each heating unit is connected with a corresponding blockchain chip; the block chain chip is used for determining an energy-saving strategy in a period of time in the future according to the current operation data of the heating unit and combining the current environment parameters and weather forecast data, and controlling the operation of the corresponding heating unit according to the energy-saving strategy. The system adopts a block chain mode, combines an energy consumption prediction intelligent contract and an energy saving strategy intelligent contract to determine an energy saving strategy, and can realize a high-efficiency energy saving effect; in addition, the system integrates the computing power of a plurality of blockchain chips, corrects the indoor and outdoor comprehensive heat transfer coefficients of the building, improves the correction efficiency and accuracy of parameters and improves the energy-saving effect of the system while ensuring the high availability of the system.

Description

Heating unit energy-saving operation control system and method based on block chain
Technical Field
The invention relates to the technical field of energy-saving control, in particular to a heating unit energy-saving operation control system and method based on a block chain.
Background
With the development of clean energy projects from multi-place coal in China, the air source heat pump unit is moved into the home of more and more users. Although different subsidy schemes, such as peak-valley electricity and electricity fee subsidy, are proposed by government, users are still concerned about how to use the machine set with energy conservation and high energy efficiency.
The conventional energy-saving optimization control strategy is controlled by relying on a centralized server, so that single-point fault problems can easily occur, such as power failure of a machine room, disconnection of a communication link, machine room damage caused by natural disasters and the like, can cause unavailability of a system, and cannot better realize energy saving.
Disclosure of Invention
In view of the above, the invention aims to overcome the defects of the prior art and provide a heating unit energy-saving operation control system and method based on a block chain.
In order to achieve the above purpose, the invention adopts the following technical scheme: a heating unit energy saving operation control system based on a blockchain, comprising:
a plurality of heating units and a plurality of blockchain chips;
the number of the heating units is equal to that of the blockchain chips, and each heating unit is connected with a corresponding blockchain chip;
the block chain chip is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit and combining current environment parameters and weather forecast data, and controlling the operation of the corresponding heating unit according to the energy-saving strategy.
Optionally, the blockchain chip includes:
the weather data acquisition module is used for acquiring the meteorological parameters of the location;
the parameter calculation intelligent contract is used for calculating the comprehensive heat transfer coefficient of the building according to the indoor and outdoor temperatures and the unit heat supply;
the energy consumption prediction intelligent contract is used for predicting the power consumption of the heating unit in a period of time in the future according to the current operation data of the heating unit, the building comprehensive heat transfer coefficient and the weather forecast data;
the energy-saving strategy intelligent contract is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit, the current indoor temperature, the building comprehensive heat transfer coefficient, the heat storage coefficient and the weather forecast data;
the unit data management module is used for communicating with the corresponding heating units, acquiring and analyzing the operation data of the heating units, and issuing control instructions to the heating units according to the energy-saving strategy;
and the block chain data management module is used for storing and managing the related data of the energy-saving operation.
Optionally, the meteorological parameters include: temperature, humidity and/or wind speed;
the energy saving operation related data includes: water inlet temperature, water outlet temperature, indoor temperature, outdoor temperature, building integrated heat transfer coefficient, and/or building category.
Optionally, the control instruction includes:
the on-off state of the heating unit, the compressor frequency, and/or the set indoor temperature.
Optionally, the blockchain chip further includes: an IPv6 communication module;
when the system comprises a plurality of blockchain chips, each blockchain chip is networked with other blockchain chips through the IPv6 communication module so as to realize mutual communication connection among the plurality of blockchain chips.
Optionally, the blockchain chip is further configured to:
calculating average error between actual indoor temperature and set indoor temperature in future period;
correcting the building comprehensive heat transfer coefficient according to the average error;
and determining an energy-saving strategy of the heating unit by utilizing the corrected building comprehensive heat transfer coefficient.
The invention also provides a block chain-based heating unit energy-saving operation control method, which comprises the following steps:
acquiring current operation data, current environmental parameters and weather forecast data of a heating unit;
according to the current operation data of the heating unit and combining the current environment parameters and weather forecast data, determining an energy-saving strategy in a future period of time;
and controlling the operation of the corresponding heating units according to the energy-saving strategy.
Optionally, the environmental parameters include: indoor and outdoor temperatures;
the determining the energy saving strategy in a future period of time according to the current operation data of the heating unit and combining the current environment parameters and weather forecast data comprises the following steps:
calculating the comprehensive heat transfer coefficient of the building according to the indoor and outdoor temperatures and the unit heat supply amount;
predicting the power consumption of the heating unit in a future period of time according to the current operation data of the heating unit, the comprehensive heat transfer coefficient of the building and weather forecast data;
and determining an energy saving strategy in a future period according to the current operation data of the heating unit, the indoor temperature, the building comprehensive heat transfer coefficient, the heat storage coefficient and the weather forecast data.
Optionally, the energy saving strategy includes:
for a future period of time, the on-off state of the heating unit, the compressor frequency, and/or the set indoor temperature within each time period unit.
Optionally, the method further comprises:
calculating average error between actual indoor temperature and set indoor temperature in future period;
correcting the building comprehensive heat transfer coefficient according to the average error;
and determining an energy-saving strategy of the heating unit by utilizing the corrected building comprehensive heat transfer coefficient.
Optionally, the correcting the building integrated heat transfer coefficient according to the average error includes:
determining the minimum average error in all block chain chip sets U (Kpi) of the building class n in the system, and taking a building integrated heat transfer coefficient KpX corresponding to the minimum average error as a Kp baseline value;
broadcasting the building integrated heat transfer coefficient KpX to blockchain chips of similar buildings; for all the blockchain chips of the similar building, each blockchain chip calculates the corresponding generated power consumption Q (KpX) and Q (Kpi) by using the new building comprehensive heat transfer coefficient KpX and the self initial building comprehensive heat transfer coefficient Kpi, and compares the Q (KpX) with the Q (Kpi);
if Q (KpX) is smaller than Q (Kpi), the building integrated heat transfer coefficient corresponding to the block chain chip is updated to KpX; the set of blockchain chips of meter Q (KpX) < Q (Kpi) is U (kp_min), and the set of meter Q (KpX) > = Q (Kpi) is U (kp_max);
for the set U (Kp_Max), in the next iteration, kpX' corresponding to the minimum average error in the set is obtained as a new Kp baseline value;
for the set U (Kp_Min), if the number of corresponding blockchains in the set U (Kp_Min) is larger than a preset value, kpX is effective; otherwise, kpX is not validated;
when KpX is not effective, the average error of the second smallest blockchain chip is selected from all blockchain chip sets U (Kpi) of the building class n, the building integrated heat transfer coefficient KpX 'corresponding to the average error is obtained, the building integrated heat transfer coefficient KpX' is broadcasted to other blockchain chips in the set U (Kpi), and each blockchain chip is compared through the power consumption quantities Q (KpX ') and Q (Kpi) to determine whether to update the building integrated heat transfer coefficient corresponding to the blockchain chip to KpX', and so on until all blockchain chips of the building class are traversed.
By adopting the technical scheme, the heating unit energy-saving operation control system based on the block chain comprises: a plurality of heating units and a plurality of blockchain chips; the number of the heating units is equal to that of the blockchain chips, and each heating unit is connected with a corresponding blockchain chip; the block chain chip is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit and combining current environment parameters and weather forecast data, and controlling the operation of the corresponding heating unit according to the energy-saving strategy. The system adopts a block chain mode, combines an energy consumption prediction intelligent contract and an energy saving strategy intelligent contract, determines an energy saving strategy, controls the operation of a heating unit according to the energy saving strategy, and can realize a high-efficiency energy saving effect; in addition, the system uses the IPv6 communication module to networking the blockchain chips, integrates the computing power of a plurality of blockchain chips, corrects the indoor and outdoor comprehensive heat transfer coefficients of the building, and makes an energy-saving strategy by utilizing the corrected building comprehensive heat transfer coefficients, thereby forming a complete distributed energy-saving blockchain system. The system breaks through the limitation of the traditional centralized server, improves the correction efficiency and accuracy of parameters and improves the energy-saving effect of the system while ensuring the high availability of the system.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a block-chain-based heating unit energy-saving operation control system;
FIG. 2 is a schematic diagram of the architecture of the blockchain chip of the present invention;
FIG. 3 is a schematic flow chart of a block chain-based heating unit energy-saving operation control method according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a second embodiment of a control method for energy-saving operation of a heating unit based on a blockchain.
In the figure: 1. a first heating unit; 2. a second heating unit; 3. a third heating unit; 4. a first blockchain chip; 5. a second blockchain chip; 6. a third blockchain chip; 7. a weather data acquisition module; 8. calculating intelligent contracts by parameters; 9. an energy consumption prediction intelligent contract; 10. an energy saving strategy intelligent contract; 11. a unit data management module; 12. a blockchain data management module; 13. and an IPv6 communication module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
Fig. 1 is a schematic diagram of a block chain-based heating unit energy-saving operation control system.
As shown in fig. 1, the energy-saving operation control system of a heating unit based on a block chain according to the present invention includes:
three heating units (first heating unit 1, second heating unit 2, and third heating unit 3) and three blockchain chips (first blockchain chip 4, second blockchain chip 5, and third blockchain chip 6);
the first heating unit 1 is connected with the first blockchain chip 4, the second heating unit 2 is connected with the second blockchain chip 5, and the third heating unit 3 is connected with the third blockchain chip 6; the first blockchain chip 4, the second blockchain chip 5 and the third blockchain chip 6 also form a communication network for information interaction;
in this embodiment, the number of the heating units and the blockchain chips may be set according to actual situations, and the three are only used as examples, and the scope of the invention is not limited;
the block chain chip is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit and combining current environment parameters and weather forecast data, and controlling the operation of the corresponding heating unit according to the energy-saving strategy.
Further, as shown in fig. 2, the blockchain chip includes:
the weather data acquisition module 7 is used for acquiring the atmospheric parameters of the location;
the intelligent contract 8 is used for calculating the comprehensive heat transfer coefficient of the building according to the indoor and outdoor temperatures and the unit heat supply;
the energy consumption prediction intelligent contract 9 is used for predicting the power consumption of the heating unit in a period of time in the future according to the current operation data of the heating unit, the building comprehensive heat transfer coefficient and the weather forecast data;
the energy-saving strategy intelligent contract 10 is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit, the current indoor temperature, the comprehensive heat transfer coefficient of the building, the heat storage coefficient and the weather forecast data;
the unit data management module 11 is used for communicating with the corresponding heating units, acquiring and analyzing operation data of the heating units, and issuing control instructions to the heating units according to the energy-saving strategy;
and the block chain data management module 12 is used for storing and managing the energy-saving operation related data.
Specifically, the meteorological parameters include: temperature, humidity and/or wind speed;
the energy saving operation related data includes: water inlet temperature, water outlet temperature, indoor temperature, outdoor temperature, building integrated heat transfer coefficient, and/or building category.
Further, the control instruction includes:
the on-off state of the heating unit, the compressor frequency, and/or the set indoor temperature.
Further, the blockchain chip further includes: an IPv6 communication module 13;
when the system comprises a plurality of blockchain chips, each blockchain chip is networked with other blockchain chips through the IPv6 communication module 13 so as to realize mutual communication connection among the plurality of blockchain chips.
In actual use, the parameter calculation intelligent contract 8 is used for calculating the building integrated heat transfer coefficient Kp,
the initial building comprehensive heat exchange coefficient Kp=f (Tn, tw, qt) formula 1
Parameter description: tn is the indoor temperature, tw is the outdoor temperature, and Qt is the heat supply of the unit.
The intelligent energy consumption prediction contract 9 predicts the power consumption Q of the unit on the next day according to the building comprehensive heat transfer coefficient, the system heat storage coefficient, the solar radiation amount on the next day, weather forecast data and user history data,
q=f (C, kp, qfX, weatherData, historyData) equation 2
Parameter description: qfX is the average solar radiation amount per hour of 24 hours on the next day, and can be obtained through historical data; c is the heat storage coefficient of the system, kp is the comprehensive heat transfer coefficient of the building.
The power saving policy intelligent contract 10 is responsible for the calculation of the power saving policy,
p (fcom, power, temp) = Σf (TnX, twX, to, ti, c, kp) equation 3
Parameter description: tnX the average indoor temperature 24 hours on the day, twX the predicted outdoor temperature 24 hours the next day, to the outlet water temperature at time 23 on the day, ti the inlet water temperature at time 23 on the day, fcom the predicted compressor frequency, power the predicted on-off state, temp the predicted indoor temperature.
The compressor frequency, on-off state and indoor temperature of each hour on the next day predicted by the energy saving strategy are shown in the following table:
time of day fcom power temp
0 25 0 24
1 35 1 25
2 40 1 26
3 41 1 26
4 0 0 24
…… …… …… ……
23 55 1 28
Further, the blockchain chip is further configured to:
calculating average error between actual indoor temperature and set indoor temperature in future period;
correcting the building comprehensive heat transfer coefficient according to the average error;
and determining an energy-saving strategy of the heating unit by utilizing the corrected building comprehensive heat transfer coefficient.
The specific implementation process of the blockchain chip for correcting the building integrated heat transfer coefficient according to the average error is described in fig. 3.
When the system is in actual use, the block chain chip is connected with the corresponding heating unit, and then the category of the building is set, so that the current operation data of the heating unit, the current indoor and outdoor temperature and weather forecast data are obtained; and determining the energy-saving strategy in a future period of time according to the indoor and outdoor temperatures, the heat supply amount of the unit and the building comprehensive heat transfer coefficient, the current indoor temperature, the building comprehensive heat transfer coefficient, the heat storage coefficient and the weather forecast data by the energy-saving strategy intelligent contract 10.
The prediction period in this embodiment may be 24 hours a day, and according to the operation data of the heating unit on the first day and the indoor and outdoor temperatures as initial data, the building integrated heat transfer coefficient Kp0 may be calculated according to the initial data, and the energy saving strategy of the second strip may be determined according to the building integrated heat transfer coefficient Kp0, the initial data and the weather forecast data on the next day, which specifically includes: the next day the on-off state of each heating unit in the system, the compressor frequency, and the set indoor temperature. And then collecting actual operation data of the heating unit on the next day and the actual temperatures of the indoor and the outdoor, recalculating the building comprehensive heat transfer coefficient Kp1 according to the actual operation data of the heating unit on the next day and the actual temperatures of the indoor and the outdoor, correcting the previous building comprehensive heat transfer coefficient Kp0 by utilizing the recalculated building comprehensive heat transfer coefficient Kp1, and carrying out energy saving strategy formulation on the third day by utilizing the corrected building comprehensive heat transfer coefficient, and so on, improving the accuracy of the building comprehensive heat transfer coefficient by continuously correcting the building comprehensive heat transfer coefficient so as to ensure that the formulated energy saving strategy has a better energy saving effect on the premise of meeting the requirements of users. For a specific corrective adjustment procedure, please see below.
The energy-saving operation control system of the heating unit based on the block chain adopts a block chain mode, combines the energy consumption prediction intelligent contract 9 and the energy-saving strategy intelligent contract 10 to determine an energy-saving strategy, controls the operation of the heating unit according to the energy-saving strategy, and can realize high-efficiency energy-saving effect with high availability; in addition, the system uses the IPv6 communication module 13 to networking the blockchain chips, integrates the computing power of a plurality of blockchain chips, corrects the indoor and outdoor comprehensive heat transfer coefficients of the building, and utilizes the corrected building comprehensive heat transfer coefficients to formulate an energy-saving strategy, thus forming a complete set of distributed energy-saving blockchain system. The system breaks through the limitation of the traditional centralized server, improves the correction efficiency and accuracy of parameters and improves the energy-saving effect of the system while ensuring the high availability of the system.
Fig. 3 is a schematic flow chart of a first embodiment of a control method for energy-saving operation of a heating unit based on a blockchain.
As shown in fig. 3, the method for controlling energy-saving operation of a heating unit based on a blockchain according to the embodiment includes:
s31: acquiring current operation data, current environmental parameters and weather forecast data of a heating unit;
s32: according to the current operation data of the heating unit and combining the current environment parameters and weather forecast data, determining an energy-saving strategy in a future period of time;
further, the environmental parameters include: indoor and outdoor temperatures;
the determining the energy saving strategy in a future period of time according to the current operation data of the heating unit and combining the current environment parameters and weather forecast data comprises the following steps:
calculating the comprehensive heat transfer coefficient of the building according to the indoor and outdoor temperatures and the unit heat supply amount;
predicting the power consumption of the heating unit in a future period of time according to the current operation data of the heating unit, the comprehensive heat transfer coefficient of the building and weather forecast data;
and determining an energy saving strategy in a future period according to the current operation data of the heating unit, the indoor temperature, the building comprehensive heat transfer coefficient, the heat storage coefficient and the weather forecast data.
Further, the energy saving strategy includes:
for a future period of time, the on-off state of the heating unit, the compressor frequency, and/or the set indoor temperature within each time period unit.
S33: and controlling the operation of the corresponding heating units according to the energy-saving strategy.
Further, the method further comprises:
calculating average error between actual indoor temperature and set indoor temperature in future period;
correcting the building comprehensive heat transfer coefficient according to the average error;
and determining an energy-saving strategy of the heating unit by utilizing the corrected building comprehensive heat transfer coefficient.
For the building integrated heat transfer coefficient Kp, the thermodynamic definition is: under the condition of stable heat transfer, the temperature difference of air at two sides of the enclosure structure is 1 degree (K or DEG C), and the unit time is the unit of heat transferred by unit area, wherein the unit is watt/(square meter DEG C) (W/m) 2 K, where K can be replaced with C), reflecting the strength of the heat transfer process.
In the practical application process, different building structures are various, and the heat transfer coefficient of each building is difficult to directly measure. Considering the main factors affecting heat transfer such as house orientation, floors, building materials, etc., in order to simplify the problem, the present case sets that the same kind of building has the same integrated heat transfer coefficient Kp, more precisely, the same kind of Kp is allowed to fluctuate within a certain range, for example δ=0.01, i.e. the largest Kp and the smallest Kp in this kind differ by 0.01. Through actual measurement, the reference value range of Kp is 0.2-0.8.
The major peripheral structures of the building are classified in this case as follows:
as shown in fig. 4, in practical use, the method of the present embodiment includes:
(1) Blockchain chip mounting and setting:
when the block chain chip is installed, building types (256 types) are imported, and intelligent contracts, energy consumption prediction intelligent contracts and energy saving strategy intelligent contracts are calculated by configuration parameters. Since the blockchain chips support IPv6, each blockchain chip has an IPv6 address, and different blockchain chips can be networked only by knowing the IP addresses of each other, so that a real distributed system is formed.
(2) The specific flow of the energy-saving strategy is as follows:
an initialization stage: the block chain chip receives the set data, and calculates an initial building comprehensive heat transfer coefficient Kp0=f (Tn, tw, qt);
and (3) an operation stage: the intelligent contract for energy consumption prediction of the block chain chip is used for calculating heat supply quantity, power consumption and indoor and outdoor heat exchange quantity of the unit, and the energy consumption of the next day is predicted by combining weather forecast data to obtain an energy-saving strategy P.
Initial energy-saving strategy issuing stage: and after the energy-saving strategy is calculated according to Kp0 value calculated by the blockchain chip in the initial stage and 23 days before, starting to issue the energy-saving strategy to a corresponding heating unit at the next day 0, controlling the unit according to the predicted energy-saving strategy (comprising predicted compressor frequency, predicted set indoor temperature and predicted on-off state), and counting average error value delta T of actual indoor temperature and set indoor temperature from hour to hour in the next day by the blockchain chip, namely delta t=avg (sigma|T indoor-T setting|).
(3) And (3) correcting the building comprehensive heat transfer coefficient:
the initially calculated Kp0 value generally needs to be corrected due to the variety of building maintenance structures. In a conventional manner, the energy saving strategy for the next day is calculated after correcting only 1 time per day. Because the Kp value range is 0.2-0.8, the correction step length is 0.01, so that 60 times, namely 60 days, are needed to correct the actual Kp value of the building in the worst case, and the efficiency is low.
The integrated heat transfer coefficient is fixed for each building. This case, in order to simplify the problem, considers that the same kind (256 kinds) of buildings have the same integrated heat transfer coefficient Kp, more precisely, the same kind Kp allows to fluctuate within a certain range, such as δ=0.01, i.e. the maximum value of Kp in such kind differs from the minimum value by 0.01.
Taking Beijing as an example, the building maintenance structures are divided into 256 types, and the number of each building is about 2 ten thousand. By utilizing the characteristic of block chain networking, each type of building structure can try to correct 2 ten thousand Kp values, which are far larger than the actual Kp in the range of 0.20-0.80 and 60 Kp values, and all Kp values can be traversed by only one calculation, so that the correction period is shortened from 60 days to 1 day. Namely, in the initial issuing stage of the energy-saving strategy, a plurality of groups of blockchain chips with the same building type are selected by taking initial Kp0 as a base line, and each group of Kpi is sequentially valued within the range of U= [ -0.01 x 30+Kpo and 0.01 x 30+Kp0 ]. Since the range of Kp is given to be 0.2 to 0.8, kpi=0.2 if Kpi is less than the lower limit of Kp of 0.2, and kpi=0.8 if the upper limit is exceeded.
And predicting the energy-saving strategy of the next day by each group of blockchain chips according to a preset Kpi value. The night operation stage (0:00-6:00) of the next day reduces the influence of artificial modification of the set temperature, and the blockchain chip counts the difference value between the actual indoor temperature and the set indoor temperature every hour to obtain an average error delta T.
The modified loop iteration step includes the following steps:
[1] the system acquires KpX corresponding to the minimum average error Min (delta T) as an actual Kp value of the building type n, broadcasts kpX to blockchain chips (M in total, counted as a set U (Kpi)) of all heating units of the same type n, calculates power consumption generated by applying a new KpX value and an initial Kpi value through energy consumption prediction intelligent contract by the blockchain chips, and compares the new KpX value with the initial Kpi value; if Q (KpX) < Q (Kpi), then this Kp value is used. The set of blockchain chips of meter Q (KpX) < Q (kp0) is U (kp_min), and the set of meter Q (KpX) > = Q (Kpi) is U (kp_max). For set U (Kp_Max), in the next iteration, kpX "where Δt is the smallest is obtained as the new Kp baseline value.
[2] The number of U (Kp_Min) is Z, and if Z > = M/2, then KpX is validated, wherein M/2 is a preset value. When the Z block chain chip package block data in the class n are communicated, the public key of X is used for signing the data, namely the block data comprises key data such as building category, building comprehensive heat transfer coefficient and the like.
Alternatively, in this round of iteration, all energy saving rewards (e.g., electricity fees) generated by the KpX value may be rewarded to the user of X by a certain rule (e.g., 1% electricity fee). The next iteration, when Kp generated by building Y is taken as the minimum, then 0.5% of the total energy saving cost will be obtained, and so on.
[3] If Z < M/2, selecting KpX' of the second smallest delta t blockchain chip from all blockchain chip sets U (Kpi) of class n, if all blockchain chips are not traversed, turning to step [1], otherwise turning to step [4];
[4] when all the blockchain chips in the class n are traversed, the original Kp0 is used for issuing a control strategy for the blockchain chips which do not use the new KpX value, and the private key of the blockchain chips is used for signing the blockchain data.
For each iteration, because the comprehensive heat transfer coefficients of the buildings of the same kind are similar, when the preset value is set to be M/2, all Kp values in M sets can reach a true value after the M sets are iterated for log 2-60 times. log2 (60) =6, i.e. after about 6 iterations, is reduced by a factor of 10 compared to the original (0.8-0.2)/0.01=60.
The energy-saving operation control method of the heating unit based on the block chain adopts a block chain mode, and combines the energy consumption prediction intelligent contract and the energy-saving strategy intelligent contract to determine an energy-saving strategy, and the control method can realize high-efficiency energy-saving effect; in addition, the method corrects the indoor and outdoor comprehensive heat transfer coefficients of the building in a data interaction mode through a plurality of blockchain chips of the same type of building, improves the correction efficiency and accuracy of parameters, and is also beneficial to improving the energy-saving effect of the system.
It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.
It should be noted that in the description of the present invention, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present invention, unless otherwise indicated, the meaning of "plurality" means at least two.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (6)

1. The utility model provides a heating unit energy-saving operation control system based on block chain which characterized in that includes:
a plurality of heating units and a plurality of blockchain chips;
the number of the heating units is equal to that of the blockchain chips, and each heating unit is connected with a corresponding blockchain chip;
the block chain chip is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit and combining current environment parameters and weather forecast data, and controlling the operation of the corresponding heating unit according to the energy-saving strategy; the blockchain chip includes:
the weather data acquisition module is used for acquiring the meteorological parameters of the location;
the parameter calculation intelligent contract is used for calculating the comprehensive heat transfer coefficient according to the indoor and outdoor temperatures and the unit heat supply amount;
the energy consumption prediction intelligent contract is used for predicting the power consumption of the heating unit in a future period of time according to the current operation data of the heating unit and the comprehensive heat transfer coefficient and weather forecast data;
the energy-saving strategy intelligent contract is used for determining an energy-saving strategy in a future period according to the current operation data of the heating unit, the current indoor temperature, the comprehensive heat transfer coefficient, the heat storage coefficient and the weather forecast data;
the unit data management module is used for communicating with the corresponding heating units, acquiring and analyzing the operation data of the heating units, and issuing control instructions to the heating units according to the energy-saving strategy;
the block chain data management module is used for storing and managing the related data of the energy-saving operation;
the blockchain chip is also to: calculating average error between actual indoor temperature and set indoor temperature in future period; correcting the comprehensive heat transfer coefficient according to the average error; determining an energy-saving strategy of the heating unit by utilizing the corrected comprehensive heat transfer coefficient; the correcting the comprehensive heat transfer coefficient according to the average error comprises the following steps:
determining the minimum average error in all block chain chip sets U (Kpi) of the building class n in the system, and taking a comprehensive heat transfer coefficient KpX corresponding to the minimum average error as a Kp baseline value;
broadcasting the integrated heat transfer coefficients KpX into blockchain chips of similar buildings; for all the blockchain chips of the similar building, each blockchain chip calculates the corresponding generated power consumption Q (KpX) and Q (Kpi) by using the new comprehensive heat transfer coefficient KpX and the initial comprehensive heat transfer coefficient Kpi, and compares the Q (KpX) with the Q (Kpi);
if Q (KpX) < Q (Kpi), the integrated heat transfer coefficient corresponding to the blockchain chip is updated to KpX; the set of blockchain chips of meter Q (KpX) < Q (Kpi) is U (kp_min), and the set of meter Q (KpX) > = Q (Kpi) is U (kp_max);
for the set U (Kp_Max), in the next iteration, kpX' corresponding to the minimum average error in the set is obtained as a new Kp baseline value;
for the set U (Kp_Min), if the number of corresponding blockchains in the set U (Kp_Min) is larger than a preset value, kpX is effective; otherwise, kpX is not validated;
when KpX is not effective, the average error of the second smallest blockchain chip is selected from all blockchain chip sets U (Kpi) of the building class n, the comprehensive heat transfer coefficient KpX 'corresponding to the average error is obtained, the comprehensive heat transfer coefficient KpX' is broadcasted to other blockchain chips in the set U (Kpi), and each blockchain chip is compared through the power consumption Q (KpX ') and Q (Kpi) to determine whether to update the comprehensive heat transfer coefficient corresponding to the blockchain chip to KpX', and so on until all blockchain chips of the building class are traversed.
2. The energy-saving operation control system of a heating unit according to claim 1, wherein,
the meteorological parameters include: temperature, humidity and/or wind speed;
the energy saving operation related data includes: inlet water temperature, outlet water temperature, indoor temperature, outdoor temperature, integrated heat transfer coefficient, and/or building category.
3. The heating unit energy saving operation control system according to claim 1, wherein the control instruction includes:
the on-off state of the heating unit, the compressor frequency, and/or the set indoor temperature.
4. The heating unit energy saving operation control system of claim 1, wherein the blockchain chip further comprises: an IPv6 communication module;
when the system comprises a plurality of blockchain chips, each blockchain chip is networked with other blockchain chips through the IPv6 communication module so as to realize mutual communication connection among the plurality of blockchain chips.
5. The block chain-based energy-saving operation control method for the heating unit is characterized by comprising the following steps of:
acquiring current operation data, current environmental parameters and weather forecast data of a heating unit; the environmental parameters comprise indoor and outdoor temperatures;
calculating the comprehensive heat transfer coefficient according to the indoor and outdoor temperatures and the unit heat supply amount;
predicting the power consumption of the heating unit in a period of time in the future according to the current operation data of the heating unit, the comprehensive heat transfer coefficient and the weather forecast data;
determining an energy-saving strategy in a future period of time according to the current operation data of the heating unit, the indoor temperature, the comprehensive heat transfer coefficient, the heat storage coefficient and the weather forecast data;
calculating average error between actual indoor temperature and set indoor temperature in future period;
correcting the comprehensive heat transfer coefficient according to the average error;
determining the minimum average error in all block chain chip sets U (Kpi) of the building class n in the system, and taking a comprehensive heat transfer coefficient KpX corresponding to the minimum average error as a Kp baseline value;
broadcasting the integrated heat transfer coefficients KpX into blockchain chips of similar buildings; for all the blockchain chips of the similar building, each blockchain chip calculates the corresponding generated power consumption Q (KpX) and Q (Kpi) by using the new comprehensive heat transfer coefficient KpX and the initial comprehensive heat transfer coefficient Kpi, and compares the Q (KpX) with the Q (Kpi);
if Q (KpX) < Q (Kpi), the integrated heat transfer coefficient corresponding to the blockchain chip is updated to KpX; the set of blockchain chips of meter Q (KpX) < Q (Kpi) is U (kp_min), and the set of meter Q (KpX) > = Q (Kpi) is U (kp_max);
for the set U (Kp_Max), in the next iteration, kpX' corresponding to the minimum average error in the set is obtained as a new Kp baseline value;
for the set U (Kp_Min), if the number of corresponding blockchains in the set U (Kp_Min) is larger than a preset value, kpX is effective; otherwise, kpX is not validated;
when KpX is not effective, selecting the average error of the second small blockchain chip from all blockchain chip sets U (Kpi) of the building class n, acquiring the comprehensive heat transfer coefficient KpX 'corresponding to the average error, broadcasting the comprehensive heat transfer coefficient KpX' to other blockchain chips in the set U (Kpi), comparing the power consumption quantity Q (KpX ') and Q (Kpi) of each blockchain chip to determine whether to update the comprehensive heat transfer coefficient corresponding to the blockchain chip to KpX', and so on until all blockchain chips of the building class n are traversed;
determining an energy-saving strategy of the heating unit by utilizing the corrected comprehensive heat transfer coefficient;
and controlling the operation of the corresponding heating units according to the energy-saving strategy.
6. The heating unit energy saving operation control method according to claim 5, wherein the energy saving strategy comprises:
for a future period of time, the on-off state of the heating unit, the compressor frequency, and/or the set indoor temperature within each time period unit.
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CN103017252A (en) * 2012-11-19 2013-04-03 江苏大学 Indoor electric heating film ground heating control device and indoor electric heating film ground heating control method
CN110597905A (en) * 2019-08-20 2019-12-20 天津理工大学 Decentralized cluster control system based on block chain and working method
CN110925943A (en) * 2019-11-26 2020-03-27 珠海格力电器股份有限公司 Control method, device and equipment of air source heat pump unit and storage medium

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Publication number Priority date Publication date Assignee Title
CN103017252A (en) * 2012-11-19 2013-04-03 江苏大学 Indoor electric heating film ground heating control device and indoor electric heating film ground heating control method
CN110597905A (en) * 2019-08-20 2019-12-20 天津理工大学 Decentralized cluster control system based on block chain and working method
CN110925943A (en) * 2019-11-26 2020-03-27 珠海格力电器股份有限公司 Control method, device and equipment of air source heat pump unit and storage medium

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