CN117366663A - Heat supply regulation control system in building - Google Patents
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- CN117366663A CN117366663A CN202311657311.0A CN202311657311A CN117366663A CN 117366663 A CN117366663 A CN 117366663A CN 202311657311 A CN202311657311 A CN 202311657311A CN 117366663 A CN117366663 A CN 117366663A
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Classifications
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- 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
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
Abstract
The invention discloses a heat supply regulation control system in a building, relates to the field of heat supply regulation control, and is used for solving the problem of inaccurate energy-saving control of heat supply equipment in a ventilation area; the system comprises a data acquisition module, a heat supply analysis module, a data comparison module and an adjustment control module; according to the invention, the air environment state of the heat supply demand area is analyzed, the temperature fluctuation information, the heat supply feedback information and the equipment response information are acquired, the temperature fluctuation information, the heat supply feedback information and the equipment response information are simultaneously generated to generate the regulation feedback coefficient, the heat supply demand area for generating the low-accuracy heat supply control signal is correspondingly heat supply regulated according to the comparison between the regulation feedback coefficient and the regulation feedback threshold value, and more attention is increased, so that the problem of inaccurate heat supply demand in a part of buildings is solved, the resource occupation condition caused by inaccurate heat supply analysis is reduced, the heat supply timeliness is realized, and the heat supply demand analysis accuracy is increased.
Description
Technical Field
The invention relates to the field of heat supply regulation control, in particular to a heat supply regulation control system in a building.
Background
The heat supply is performed in the building to provide comfortable indoor temperature and hot water to meet heat demands of occupants and users, and air and surfaces inside the building can be heated through the heat supply system to maintain a temperature range where a human body feels comfortable, thereby improving comfort of living and working environments, and ensuring that people can keep proper warmth in the indoor in cold seasons.
The prior art has the following defects:
for some high-demand hot-ends, such as houses with high demands of constant temperature, constant humidity, constant oxygen and the like, the real-time demand of heat supply regulation and control is also higher, so that corresponding unit control equipment needs to have faster real-time and accuracy for data acquisition, thereby accurately controlling the temperature of each hot-end, but due to the lack of self-sensing regulation, corresponding control equipment cannot accurately acquire related data in the heat supply regulation process, so that the data real-time insufficiency and the abnormal operation parameter acquisition of uploading unit equipment are not clear enough, the supply of a hydraulic heat source of the hot-end in the heat supply regulation process is insufficient, and the comfort experience of the hot-end is reduced.
The present invention proposes a solution to the above-mentioned problems.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide an in-building heating regulation control system, which collects temperature fluctuation information, heating feedback information, and equipment response information, and generates a regulation feedback coefficient by combining the temperature fluctuation information, the heating feedback information, and the equipment response information, and compares the regulation feedback coefficient with a regulation feedback threshold value, so as to perform heating regulation in time on a heating demand area where a low-accuracy heating control signal is generated, thereby solving the problem of ambiguous heating demand in a part of buildings, and solving the problem proposed in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a heat supply regulation control system in a building comprises a data acquisition module, a heat supply analysis module, a data comparison module and a regulation control module, wherein the modules are connected through signals;
the data acquisition module is used for acquiring heat supply demand information of a heat supply demand area, wherein the heat supply demand information comprises temperature fluctuation information, heat supply feedback information and equipment response information;
the heat supply analysis module is used for receiving the data sent by the data acquisition module, generating a regulation and control feedback coefficient by combining temperature fluctuation information, heat supply feedback information and equipment response information in the received data, and analyzing a heat supply demand state and transmitting the data to the data comparison module;
the data comparison module is used for receiving the data sent by the heat supply analysis module, analyzing the heat supply state of the heat supply demand area according to the regulation and control feedback coefficient in the received data, obtaining a comparison result, determining the actual heat supply condition and sending the analysis result to the regulation and control module;
the adjusting control module is used for receiving the data transmitted by the data comparison module and adjusting and controlling the heat supply demand area in the building according to the comparison result.
In a preferred embodiment, the temperature fluctuation information comprises a heating temperature stability index and is calibrated as GRW, the heating feedback information comprises a heating temperature deviation duration value and is calibrated as SCP, and the plant response information comprises a control frequency response index and is calibrated as CJP.
In a preferred embodiment, the logic for obtaining the heating temperature stability index is as follows:
acquiring temperature data in unit time after heat supply reaches preset conditions, and establishing a temperature data setX is a positive integer, a set temperature value +.>Calculating to obtain the average temperature valueAnd temperature maximum->And temperature minimum->And calculating to obtain a heat supply temperature stability index:。
in a preferred embodiment, the logic for obtaining the heating temperature deviation duration value is as follows:
acquiring target temperature in a building, recording actual indoor temperature in the building by using a sensor at each sampling time point in the acquisition time period, calculating a difference value between the actual indoor temperature and the set target temperature, and establishing a thermometer deviation value setY is a positive integer, a sampling time interval set is established +.>Y is a positive integer, and the heating temperature deviation duration value is calculated according to the following calculation formula: />。
In a preferred embodiment, the control frequency response index acquisition logic is as follows:
the method comprises the steps of obtaining amplitude sequence data of a transmission signal of control equipment in each unit time, obtaining, establishing an amplitude sequence data set, obtaining input amplitude and corresponding input amplitude of data in the amplitude sequence data set, calculating the amplitude value, and calculating the formula:establishing a transmission amplitude frequency set->W is a positive integer, a control frequency response index is calculated, and the calculated expression is: />。
In a preferred embodiment, the heat supply state of the heat supply demand area is analyzed according to the regulation feedback coefficient in the received data, and the specific steps are as follows:
the heat supply temperature stability index, the heat supply temperature deviation duration value and the control frequency response index are combined to generate a regulation and control feedback coefficient;
the heat supply temperature stability index, the heat supply temperature deviation duration value and the control frequency response index are in a proportional relation with the regulation feedback coefficient;
comparing the regulation feedback coefficient with a regulation feedback threshold;
if the regulation feedback coefficient is greater than or equal to the regulation feedback threshold, generating a low-accuracy heat supply control signal;
and if the regulation feedback coefficient is smaller than the regulation feedback threshold value, generating a high-accuracy heat supply control signal.
In a preferred embodiment, the adjusting and controlling the heat supply demand area in the building according to the comparison result means adjusting the heat supply demand area in the building for generating the low-accuracy heat supply control signal, improving the frequency of temperature monitoring data and the frequency of transmission data of the heat supply demand by the temperature sensing, increasing the acquisition frequency of user feedback, and improving the frequency of environmental monitoring.
The invention relates to a technical effect and advantages of a heat supply regulation control system in a building, which are as follows:
according to the invention, the air environment state of the heat supply demand area is analyzed, the temperature fluctuation information, the heat supply feedback information and the equipment response information are acquired, the temperature fluctuation information, the heat supply feedback information and the equipment response information are simultaneously generated to generate the regulation feedback coefficient, the heat supply demand area generating the low-accuracy heat supply control signal is timely regulated by comparing the regulation feedback coefficient with the regulation feedback threshold value, and more attention is increased, so that the problem of inaccurate heat supply demand in a part of buildings is solved, the resource occupation condition caused by inaccurate heat supply analysis is reduced, the heat supply timeliness is realized, and the accuracy of heat supply demand analysis is increased.
Drawings
Fig. 1 is a schematic structural diagram of a heating regulation control system in a building according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to achieve the above purpose, fig. 1 shows a schematic structural diagram of a heat supply regulation control system in a building according to the present invention, which specifically includes a data acquisition module, a heat supply analysis module, a data comparison module, and a regulation control module, where the modules are connected by signals.
The central heating process is divided into three key components of a heat source, a heating power pipe network and a heat supply using end, in the heat supply process in a building, the main links of energy consumption often occur at the heat supply using end, because the imbalance of the hydraulic working condition of the heating power pipe network leads to uneven heating effect of the room temperature of the heat supply using end, and alternate heat and heat, so that the heat supply using end adopts a strategy of increasing flow or increasing water supply temperature in order to meet the room temperature requirement under the most adverse condition, but the coping mode brings about a huge energy waste problem, and in the central heating process, due to uneven water flow distribution of the heating power pipe network, some users cannot obtain enough heat in the heating season, namely, a means of increasing the water supply temperature or increasing the water flow is adopted to ensure that the room temperature of the most adverse user can meet the heating requirement, and in the heating requirement, the demand feedback of insufficient heat supply is timely carried out, so that the basic heating requirement of the heat supply using end is ensured.
The temperature control system can ensure that the temperature in the building is in a set range, the temperature can be automatically adjusted according to the indoor and outdoor temperatures and other environmental conditions through intelligent temperature control equipment, a thermostatic valve, an indoor temperature sensor and the like, and the working state of the heating system can be adjusted according to the needs of different time periods by using timing control, so that unnecessary energy waste is avoided. The remote control technology enables a user to remotely control the heating system through the smart phone or other remote equipment, so that flexibility and convenience are improved.
When the heat supply end is used for supplying heat, each heat supply state of the heat supply end is analyzed so as to determine the actual heat supply requirement condition of the heat supply end;
the data acquisition module acquires heat supply demand information of a heat supply demand area, wherein the heat supply demand information comprises temperature fluctuation information, heat supply feedback information and equipment response information, and transmits the acquired temperature fluctuation information, heat supply feedback information and equipment response information to the heat supply analysis module;
the temperature fluctuation information comprises a heat supply temperature stability index and is calibrated as GRW, the heat supply feedback information comprises a heat supply temperature deviation duration value and is calibrated as SCP, and the equipment response information comprises a control frequency response index and is calibrated as CJP;
the heat supply temperature stability index in the temperature fluctuation information is used for analyzing the heat supply requirement, and the heat supply temperature stability index represents the fluctuation condition between the actual temperature and the expected heat supply temperature in the building after heat supply is used, and can have the following influence:
user comfort: the high heat supply temperature stability index means that the fluctuation of the temperature in the building is large, the heat supply effect is unstable, users feel uncomfortable, the frequent fluctuation of the temperature leads the users to feel overheated or supercooled in different periods, the heat supply expected requirement of the users is not met, and the indoor comfort level is influenced;
system performance: the high heating temperature stability index indicates that the control strategy of the heating system is not accurate enough, and the stable indoor temperature cannot be effectively maintained, which affects the overall efficiency of the heating system and slows down the response speed of the system.
The acquisition logic of the heating temperature stability index is as follows:
acquiring temperature data in unit time after heat supply reaches preset conditions, and establishing a temperature data setX is a positive integer, a set temperature value +.>Calculating to obtain the average temperature valueAnd temperature maximum->And temperature minimum->And calculating to obtain a heat supply temperature stability index:。
after the heat supply reaches the preset condition, the heat supply in the building reaches the set temperature and continues to be performed, the preset condition can be specifically determined by setting the temperature or the set heat supply time, and the unit time can be 10 minutes, half hour and other time periods and is determined according to specific requirements.
The heat supply feedback information comprises a heat supply temperature deviation duration value which is the sum of time when deviation exists between the indoor temperature of an actual building and a set target temperature in the heat supply process, and reflects the condition that the target temperature cannot be maintained in a certain period of heat supply, namely the duration of the temperature deviation from the target temperature, wherein the heat supply temperature deviation duration value has the following effects:
energy waste: the larger temperature deviation duration value indicates that the heating system has a problem in temperature regulation, so that the system is frequently started and stopped or excessively regulated, the energy consumption of the system can be increased, and unnecessary energy waste is caused;
system performance decreases: the larger temperature deviation duration value indicates that the control strategy of the heating system is not accurate enough and cannot effectively maintain stable indoor temperature, which may affect the overall efficiency of the heating system, slow down the response speed of the system and reduce the performance of the system.
The logic for acquiring the heat supply temperature deviation duration value is as follows:
acquiring target temperature in a building, recording actual indoor temperature in the building by using a sensor at each sampling time point in the acquisition time period, calculating a difference value between the actual indoor temperature and the set target temperature, and establishing a thermometer deviation value setY is a positive integer, a sampling time interval set is established +.>Y is a positive integer, and the heating temperature deviation duration value is calculated according to the following calculation formula: />。
It should be noted that, the target temperature in the building refers to the temperature that the user wants to reach indoors, the sensor may be a temperature sensor, an intelligent thermometer, or other devices for measuring temperature, the time period is set according to the actual situation, and the sampling time interval represents the time interval between the sampling time point and the next sampling time point.
The control frequency response index in the equipment response information refers to the response speed of the control equipment to the frequency change in the input signal, and is used for comprehensively evaluating the response condition of the control equipment after the indoor temperature of the building is changed, wherein a small control frequency response index indicates the frequency difference of response adjustment of the control equipment to the temperature change, and the control frequency response index has the following effects:
the response speed is high: the control frequency response index is large, which means that the control equipment can adjust the temperature change more quickly, so that the dynamic performance of the heating system is improved, and the heating system can adapt to the change of the indoor temperature more quickly;
the energy efficiency is improved: the control of the frequency response index is greatly beneficial to reducing the energy consumption of the system, the heating system can adjust the temperature more rapidly, the unnecessary energy consumption is reduced, and the energy efficiency is improved;
temperature stability: the control of the frequency response index is greatly beneficial to improving the stability of the system to indoor temperature, and the high response speed means that the equipment can regulate the temperature more timely, reduce the fluctuation range of the temperature and improve the stability of the temperature.
The acquisition logic for the control frequency response index is as follows:
acquiring amplitude sequence data of a transmission signal of a control device in each unit time, acquiring, establishing an amplitude sequence data set, acquiring input amplitude and corresponding input amplitude of data in the amplitude sequence data set, calculating an amplitude value,the calculation formula is as follows:establishing a transmission amplitude frequency set->W is a positive integer, a control frequency response index is calculated, and the calculated expression is: />。
The time length is set according to the actual requirement in a unit time, for example, the time length of 1 minute, 1 hour, etc., an input signal, for example, a real-time temperature data input signal is applied to the control device, the frequency related to the signal is adjusted, the information of the input signal is recorded by using a sensor or a measuring device, the amplitude of the signal is measured, and the amplitude of an output signal related to the frequency of the input signal is recorded.
The heat supply analysis module generates a regulation and control feedback coefficient by combining the temperature fluctuation information, the heat supply feedback information and the equipment response information, and transmits the regulation and control feedback coefficient to the data comparison module;
the heat supply analysis module obtains a heat supply temperature stability index GRW, a heat supply temperature deviation duration value SCP and a control frequency response index CJP for normalization analysis, generates a regulation and control feedback coefficient, and calibrates the regulation and control feedback coefficient as T z The specific formula is as follows:wherein T is z To regulate the feedback coefficient r 1 、r 2 、r 3 For the heat supply temperature stabilizing index GRW, the heat supply temperature deviation time length value SCP, the preset proportion coefficient of the control frequency response index CJP, and r 1 、r 2 、r 3 Are all greater than 0.
As can be seen from the formula, the larger the heating temperature stability index is, the larger the heating temperature deviation duration value is, the larger the control frequency response index is, namely the regulation and control feedback coefficient T z The larger the expression value of the water heater is, the unstable heat supply in the building is shown, the worse the heat supply feedback is, and the heat supply temperature is stableThe smaller the constant index, the smaller the heating temperature deviation duration value and the smaller the control frequency response index, namely the regulation and control feedback coefficient T z The smaller the expression value of the heat supply system is, the more stable the heat supply in the building is, and the higher the heat supply feedback accuracy is.
The data comparison module compares the generated regulation feedback coefficient with a regulation feedback threshold value to generate a low-accuracy heat supply control signal and a high-accuracy heat supply control signal;
after the data comparison module obtains the regulation feedback coefficient, the regulation feedback coefficient is compared with a regulation feedback threshold value;
if the regulation feedback coefficient is greater than or equal to the regulation feedback threshold, generating a low-accuracy heat supply control signal, wherein the low-accuracy heat supply control signal indicates unstable heat supply in the building, the heat supply feedback is accurate, and the actual heat supply condition is inconsistent with the expected situation of a user easily;
if the regulation feedback coefficient is smaller than the regulation feedback threshold, a high-accuracy heat supply control signal is generated, heat supply in the building is stable, the heat supply feedback accuracy is high, and the heat supply meets the user expectation.
When the regulation control module receives the low-accuracy heat supply control signal transmitted by the data comparison module, the regulation control module carries out regulation control on a heat supply demand area in the building;
specifically, the monitoring and data transmission frequency of the temperature sensor is improved, so that the change of indoor temperature can be more accurately captured, if the monitoring frequency of the sensor is lower, hysteresis response to temperature fluctuation can be caused, and the accuracy of heat supply control is affected; the acquisition frequency of the user feedback is increased, and the user's desire for indoor temperature can be better known through real-time or more frequent user feedback, so that the heat supply control strategy is timely adjusted, the monitoring frequency of environmental factors (such as weather, wind speed and the like) is improved, and the change of the external environment is more timely captured, so that the working mode of the heat supply system is timely adjusted; the real-time data analysis tool is used for monitoring the dynamic change condition of the heating system, so that potential problems are timely identified, the heating accuracy is accurately predicted, and a corresponding heating control strategy is adopted.
For example, in terms of increasing the monitoring frequency of the temperature sensor, assuming that the monitoring frequency of the temperature sensor is updated every ten minutes in the original case, the monitoring frequency of the temperature sensor is increased to be updated every minute by increasing the monitoring frequency;
adjusting the monitoring frequency parameters of the temperature sensor ensures that enough storage capacity is available to process more frequent temperature data, more data points are generated due to the increase of the frequency, the system communication protocol and the network bandwidth are ensured to be sufficient to support the temperature data transmission of higher frequency, if the corresponding monitoring system is based on remote monitoring or cloud platform, the network is required to be ensured to be capable of timely transmitting more frequent data, so the corresponding monitoring system can more accurately capture the instantaneous change of the indoor temperature by increasing the monitoring frequency of the temperature sensor, thereby adjusting the working state of the heating system more timely, which is helpful to prevent the overlarge temperature fluctuation and improve the stability and the user satisfaction of the heating system.
The relevant threshold value is set by those skilled in the art according to the actual situation, and is not limited herein.
According to the invention, the air environment state of the heat supply demand area is analyzed, the temperature fluctuation information, the heat supply feedback information and the equipment response information are acquired, the temperature fluctuation information, the heat supply feedback information and the equipment response information are simultaneously generated to generate the regulation feedback coefficient, the heat supply demand area generating the low-accuracy heat supply control signal is timely regulated by comparing the regulation feedback coefficient with the regulation feedback threshold value, and more attention is increased, so that the problem of inaccurate heat supply demand in a part of buildings is solved, the resource occupation condition caused by inaccurate heat supply analysis is reduced, the heat supply timeliness is realized, and the accuracy of heat supply demand analysis is increased.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (7)
1. A heat supply regulation control system in building, its characterized in that: the system comprises a data acquisition module, a heat supply analysis module, a data comparison module and an adjustment control module, wherein the modules are connected through signals;
the data acquisition module is used for acquiring heat supply demand information of a heat supply demand area, wherein the heat supply demand information comprises temperature fluctuation information, heat supply feedback information and equipment response information;
the heat supply analysis module is used for receiving the data sent by the data acquisition module, generating a regulation and control feedback coefficient by combining temperature fluctuation information, heat supply feedback information and equipment response information in the received data, and analyzing a heat supply demand state and transmitting the data to the data comparison module;
the data comparison module is used for receiving the data sent by the heat supply analysis module, analyzing the heat supply state of the heat supply demand area according to the regulation and control feedback coefficient in the received data, obtaining a comparison result, determining the actual heat supply condition and sending the analysis result to the regulation and control module;
the adjusting control module is used for receiving the data transmitted by the data comparison module and adjusting and controlling the heat supply demand area in the building according to the comparison result.
2. An in-building heating regulation control system as claimed in claim 1, wherein: the temperature fluctuation information comprises a heating temperature stability index and is calibrated to be GRW, the heating feedback information comprises a heating temperature deviation duration value and is calibrated to be SCP, and the equipment response information comprises a control frequency response index and is calibrated to be CJP.
3. An in-building heating regulation control system as claimed in claim 2, wherein: the acquisition logic of the heating temperature stability index is as follows:
acquiring temperature data in unit time after heat supply reaches preset conditions, and establishing a temperature data setX is a positive integer, a set temperature value +.>Calculating to obtain the average temperature valueAnd temperature maximum->And temperature minimum->And calculating to obtain a heat supply temperature stability index:。
4. an in-building heating regulation control system as claimed in claim 3, wherein: the logic for acquiring the heat supply temperature deviation duration value is as follows:
acquiring target temperature in a building, recording actual indoor temperature in the building by using a sensor at each sampling time point in the acquisition time period, calculating a difference value between the actual indoor temperature and the set target temperature, and establishing a thermometer deviation value setY is a positive integer, a sampling time interval set is established +.>Y is a positive integer, and the heating temperature deviation duration value is calculated according to the following calculation formula: />。
5. An in-building heating regulation control system as set forth in claim 4 wherein: the acquisition logic for the control frequency response index is as follows:
the method comprises the steps of obtaining amplitude sequence data of a transmission signal of control equipment in each unit time, obtaining, establishing an amplitude sequence data set, obtaining input amplitude and corresponding input amplitude of data in the amplitude sequence data set, calculating the amplitude value, and calculating the formula:establishing a transmission amplitude frequency set->W is a positive integer, a control frequency response index is calculated, and the calculated expression is: />。
6. An in-building heating regulation control system as set forth in claim 5 wherein: analyzing the heat supply state of the heat supply demand area according to the regulation and control feedback coefficient in the received data, wherein the specific steps are as follows:
the heat supply temperature stability index, the heat supply temperature deviation duration value and the control frequency response index are combined to generate a regulation and control feedback coefficient;
the heat supply temperature stability index, the heat supply temperature deviation duration value and the control frequency response index are in a proportional relation with the regulation feedback coefficient;
comparing the regulation feedback coefficient with a regulation feedback threshold;
if the regulation feedback coefficient is greater than or equal to the regulation feedback threshold, generating a low-accuracy heat supply control signal;
and if the regulation feedback coefficient is smaller than the regulation feedback threshold value, generating a high-accuracy heat supply control signal.
7. An in-building heating regulation control system as set forth in claim 6 wherein: the control of the heat supply demand area in the building according to the comparison result means that the heat supply demand area in the building generating the low-accuracy heat supply control signal is adjusted, the temperature monitoring data frequency and the transmission data frequency of the heat supply demand of the temperature sensing are improved, the user feedback acquisition frequency is increased, and the environment monitoring frequency is improved.
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| KR102035820B1 (en) * | 2019-01-23 | 2019-10-24 | 주식회사 나라컨트롤 | Integrated heating/cooling control method and control system considering thermal dynamics according to building operation characteristics |
| CN113701232A (en) * | 2021-08-26 | 2021-11-26 | 浙江大学常州工业技术研究院 | Heat supply system building-level regulation and control method and system based on temperature diversity analysis |
| CN115095907A (en) * | 2022-07-15 | 2022-09-23 | 唐山学院 | Intelligent heat supply energy-saving regulation and control method and system based on deep learning and storage medium |
| CN116700192A (en) * | 2023-07-19 | 2023-09-05 | 福建友谊胶粘带集团有限公司 | Intelligent monitoring system of adhesive tape production line |
| CN116721549A (en) * | 2023-08-10 | 2023-09-08 | 山东字节信息科技有限公司 | Traffic flow detection system and detection method |
| CN116881406A (en) * | 2023-09-08 | 2023-10-13 | 国网信息通信产业集团有限公司 | Multi-mode intelligent file retrieval method and system |
| CN117167938A (en) * | 2023-09-08 | 2023-12-05 | 广州晶诚蓄能科技有限公司 | Energy-saving control system of cooling equipment based on data analysis |
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