CN107192003A - method and device for heating regulation - Google Patents

Abstract

The embodiment of the present invention discloses a method for heating regulation, including: collecting the indoor temperatures of multiple users in the community within a set time period; calculating the average value T of the indoor temperatures of the multiple users; calculating the The difference ΔT between the average value T and a set temperature T'; adjust the heating flow supplied to the cell according to the ΔT, and adjust the time period according to the ΔT. By periodically collecting the indoor temperature of multiple users in the community, according to the difference between the average value of the indoor temperature of multiple users and the set temperature, it is determined whether it is necessary to adjust the heating flow supplied to the community and adjust the adjustment period of the heating flow according to the temperature difference . In this way, the rapid and refined control and adjustment of the heating flow of the community can be realized by using the big data of room temperature. The invention also discloses a device for heating regulation.

Description

Method and device for heating regulation

technical field

The invention relates to the technical field of thermal system management, in particular to a method and device for heating regulation.

Background technique

For heating in winter in the north, the standard indoor temperature of central heating stipulated by the state is 18°C±2°C, but the heating company cannot monitor the actual indoor temperature of each community and each user, and only makes approximate adjustments based on experience and weather conditions. It often leads to the situation that the heating supply does not meet or exceed the standard. Some homes have to open windows when the temperature reaches 26°C throughout the heating season, and some homes often complain when the temperature is lower than 16°C. At present, there is a need for a scheme that can be used to adjust the heating flow of the residential area, so as to finely control the heating of the residential area.

Contents of the invention

Embodiments of the present invention provide a method and device for heating regulation, which can finely control the heating of a community. In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is presented below. This summary is not an overview, nor is it intended to identify key/critical elements or delineate the scope of these embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

According to the first aspect of the embodiments of the present invention, there is provided a method for heating regulation, including: collecting the indoor temperatures of multiple users in the community within a set time period; calculating the indoor temperature of the multiple users the average value T; calculate the difference ΔT between the average value T and a set temperature T'; adjust the heating flow supplied to the cell according to the ΔT, and adjust the time period according to the ΔT.

Optionally, when the ΔT is less than zero, the heating flow of the sub-district is increased; when the ΔT is greater than zero, the heating flow of the sub-district is decreased.

Optionally, the adjusting the heating flow supplied to the sub-district includes adjusting the flow rate and/or water temperature of the water pump supplied to the sub-district.

Optionally, before adjusting the heating flow supplied to the sub-district according to the ΔT, it further includes: judging whether the water pump flow and/or water temperature supplied to the sub-district exceeds a corresponding preset threshold value; when the water pump supplied to the sub-district When the flow rate and/or water temperature exceeds the corresponding preset threshold value, an alarm prompt will be issued.

Optionally, it also includes: calculating the difference ΔT' between the real-time indoor temperature of the users in the cell and the average value T; and issuing an alarm when the absolute value of ΔT' is greater than or equal to a preset threshold.

Optionally, adjusting the time period according to the ΔT includes: when the absolute value of the ΔT is greater than the first temperature difference threshold, shortening the time period according to a preset ratio, or shortening the time period according to a preset unit time. time period, or shorten the time period to a preset time period.

Optionally, the preset ratio includes a first preset ratio and a second preset ratio, the preset unit time includes a first unit time and a second unit time, and the preset time period includes a first time period and a second time period. Wherein, the first preset ratio is greater than the second preset ratio, the first unit time is longer than the second unit time, and the first time period is shorter than the second time period.

Optionally, when the absolute value of ΔT is greater than the first temperature difference threshold and less than the second temperature difference threshold, shortening the time period by a first preset ratio or shortening the time period by a first unit time, or , shorten the time period to the first time period; when the absolute value of the ΔT is greater than or equal to the second temperature difference threshold, shorten the time period according to a second preset ratio or shorten the time period according to a second unit time the time period, or shorten the time period to a second time period. Wherein, the second temperature difference threshold is greater than the first temperature difference threshold.

According to the second aspect of the embodiment of the present invention, there is provided a device for heating adjustment, including: a collection module, used to collect the indoor temperatures of multiple users in the community within a set time period; a calculation module, used to Calculate the average value T of the indoor temperatures of the multiple users and calculate the difference ΔT between the average value T and a set temperature T'; the adjustment module is used to adjust the heating flow supplied to the cell according to the ΔT, And adjust the time period according to the ΔT.

Optionally, the adjustment module is configured to increase the heating flow of the sub-district when the ΔT is smaller than a first threshold; reduce the heating flow of the sub-district when the ΔT is greater than a second threshold; wherein, the first A threshold is less than or equal to zero, and the second threshold is greater than or equal to zero.

Optionally, the adjustment module is configured to adjust the flow rate and/or water temperature of the water pump supplied to the residential area.

Optionally, the device for heating adjustment further includes: a judging module, used to judge whether the flow rate and/or water temperature of the water pump supplied to the sub-district exceeds the corresponding preset threshold value; When the water pump flow rate and/or water temperature exceeds the corresponding preset threshold value, an alarm prompt will be issued.

Optionally, the adjustment module is configured to, when the absolute value of ΔT is greater than the first temperature difference threshold, shorten the time period by a preset ratio, or shorten the time period by a preset unit time, or to shorten the time period to a preset time period.

Optionally, the preset ratio includes a first preset ratio and a second preset ratio, the preset unit time includes a first unit time and a second unit time, and the preset time period includes a first time period and a second time period. Wherein, the first preset ratio is greater than the second preset ratio, the first unit time is longer than the second unit time, and the first time period is shorter than the second time period.

Optionally, when the absolute value of the ΔT is greater than the first temperature difference threshold and less than the second temperature difference threshold, the adjustment module shortens the time period according to a first preset ratio, or shortens the time period according to a first unit time The time period, or shorten the time period to the first time period; when the absolute value of the ΔT is greater than or equal to the second temperature difference threshold, the adjustment module shortens the time period according to a second preset ratio The time period, or shorten the time period by the second unit time, or shorten the time period to the second time period. Wherein, the second temperature difference threshold is greater than the first temperature difference threshold.

The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

By periodically collecting the indoor temperature of multiple users in the community, according to the difference between the average value of the indoor temperature of multiple users and the set temperature, it is determined whether it is necessary to adjust the heating flow supplied to the community and adjust the adjustment period of the heating flow according to the temperature difference . In this way, the rapid and refined control and adjustment of the heating flow of the community can be realized by using the big data of room temperature.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

Fig. 1 is a flow chart of a method for heating regulation according to an exemplary embodiment;

Figure 2 is the trend curve of the average indoor temperature and outdoor temperature of the 6 residential areas provided by the air-conditioning big data;

Fig. 3 is a structural block diagram of a device for heating regulation according to an exemplary embodiment.

detailed description

The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims. Herein, various embodiments may be referred to individually or collectively by the term "invention", which is for convenience only and is not intended to automatically limit the scope of this application if in fact more than one invention is disclosed. A single invention or inventive concept. Herein, relational terms such as first and second etc. are used only to distinguish one entity or operation from another without requiring or implying any actual relationship or relationship between these entities or operations. order. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method or apparatus comprising a set of elements includes not only those elements but also other elements not expressly listed element. Various embodiments herein are described in a progressive manner, each embodiment focuses on the differences from other embodiments, and the same and similar parts of the various embodiments may be referred to each other. As for the structures, products, etc. disclosed in the embodiments, since they correspond to the parts disclosed in the embodiments, the description is relatively simple, and for relevant parts, please refer to the description of the method part.

Fig. 1 is a schematic flowchart of a heating regulation method according to an exemplary embodiment. As shown in Fig. 1, the heating regulation process includes:

Step 101: Collect indoor temperatures of multiple users in the community within a set time period.

In the embodiment of the present invention, in order to solve the problem that the heating company makes approximate adjustments based on experience and weather conditions, resulting in substandard or over-standard heating, the indoor temperatures of multiple users are collected and collected periodically within the set time to ensure that The real-time and reliability of user indoor environment monitoring and adjustment.

Step 102: Calculate the average value T of the indoor temperatures of the multiple users.

Step 103: Calculate the difference ΔT between the average value T and a set temperature T'.

Step 104: Adjust the heating flow supplied to the cell according to the ΔT, and adjust the time period according to the ΔT.

For example, a community A has 200 users, and the average value T of the indoor temperatures of multiple users is calculated as the arithmetic mean of the indoor temperatures of all users, or the truncated average value of the indoor temperatures of all users can be used as the average value of the community Room temperature. The censored average value can effectively prevent the impact of abnormal temperature of individual users in community A. For example, a user m is very afraid of cold, and the air conditioner is turned on on the basis of heating the house, and the temperature is set at a high level, while user n The radiators in the home are aging, or the installation area is small, so the indoor temperature is low.

According to the "Civil Building Energy Conservation Design Standards" and "Heating Ventilation and Air Conditioning Design Specifications" documents, the indoor guiding standard temperature is 18°C ± 2°C. However, the implementation standards of various provinces and regions are slightly different, and individual cities have reached 20°C ± 2°C.

According to the research results of the health department, when the human body is properly dressed, warm enough and in a quiet state, the indoor temperature of 20°C is more comfortable, 18°C has no cold feeling, and 15°C is the temperature limit for obvious cold feeling. Therefore, in order to improve the quality of life and meet the requirements of adjustable room temperature, the relevant regulations in my country set the indoor temperature range of the main rooms of civil buildings at 18-24°C. According to the actual survey results, the design temperature of most buildings is 18°C. -20°C is the set temperature T'.

In this embodiment, the set temperature T' can be set according to regional environmental differences and local policies, but the set temperature T' should not be lower than 16°C, and should not be higher than 24°C to avoid unnecessary energy consumption. waste.

Calculate the difference ΔT between the average value T of the indoor temperatures of the multiple users and a set temperature T', and determine whether the indoor temperature of the community A is up to standard according to the difference ΔT, and whether it is necessary to adjust the heating flow supplied to the community A. If the indoor temperature of community A is not up to standard, adjust the heating flow supplied to the community and shorten the time period for collecting users' indoor temperatures.

The method provided in this embodiment periodically collects the indoor temperatures of multiple users in the community, and determines whether it is necessary to adjust the heating flow supplied to the community according to the difference between the average value of the indoor temperatures of the multiple users and the set temperature. The response speed to the indoor temperature change of the community is fast, the adjustment reliability of the heating flow is high, and the user experience is improved.

Optionally, in some embodiments, the real-time indoor temperature of each user in the community can be collected through the wireless communication module of the smart air conditioner, and then the average indoor temperature of the community can be calculated.

The wireless communication module may be a WiFi module, a 2.4G wireless module, a ZigBee module, an optical module or other wireless transceiver modules, etc., which are not limited in the present invention.

Taking the WiFi module as an example, all smart air conditioners have the function of measuring indoor temperature. The WiFi module that comes with the smart air conditioner can be used to obtain the user's indoor temperature in real time, which can avoid installing new temperature measurement modules in the user's home, reduce deployment costs, and High stability and popularity. Compared with the traditional home temperature measurement, it can save a lot of manpower and material resources and improve reliability.

Optionally, in some embodiments, the WiFi module of the smart air conditioner may report the indoor temperature to the server every hour. According to the big data analysis of the smart air conditioner, the reporting interval can be adjusted according to the newness or oldness of the community, or the temperature compliance rate. For example, if it is known from the air-conditioning big data that the average indoor temperature of a certain community A is often lower than 16°C, then this community A can be used as a key control object, and the smart air conditioner of the user in this community can report the indoor temperature data to the server every half an hour. The server can analyze the data of community A, and adjust the heating flow supplied to community A in time.

Optionally, in any of the foregoing embodiments, when the ΔT is less than zero, that is, when the average T of indoor temperatures of multiple users is lower than the set temperature, the heating flow of the community is increased; when ΔT is greater than zero, That is, when the average value T of the indoor temperatures of multiple users is higher than the set temperature, the heating flow of the community is reduced.

Optionally, in some embodiments, a first threshold and a second threshold are set, and when ΔT is smaller than the first threshold, the heating flow of the cell is increased, and when ΔT is greater than the second threshold, the heating flow of the cell is decreased. Wherein, the first threshold is less than or equal to zero, and the second threshold is greater than or equal to zero.

Optionally, the first threshold is -1°C or -2°C, and the second threshold is 1°C or 2°C.

Assume that the set temperature T' is 18°C, the first threshold is -2°C, and the second threshold is 2°C as an example. When it is detected that the average T of the indoor temperature of multiple users in a certain cell A is 17°C, and the difference ΔT between the average T of the indoor temperature of multiple users and the set temperature T' is -1°C, then it is not correct for cell A The heating flow is adjusted. When it is detected that the average T of the indoor temperature of multiple users in a certain cell A is 15°C, and the difference ΔT between the average T of the indoor temperature of multiple users and the set temperature T' is -3°C, the cell A is raised. heating flow. When it is detected that the average T of the indoor temperatures of multiple users in a cell A is 19°C, and the difference ΔT between the average T of the indoor temperatures of multiple users and the set temperature T' is 1°C, then the Heating flow is regulated. When it is detected that the average T of the indoor temperature of multiple users in a cell A is 21°C, and the difference ΔT between the average T of the indoor temperature of multiple users and the set temperature T' is 3°C, the temperature of cell A is reduced. heating flow.

The main parameters affecting the room temperature in a heating system are the outside temperature, pump flow and water temperature. According to the calculation formula of 7.1.1 design flow in CJJ34-2010 "Code for Design of Urban Heating Pipeline Network", it can be known that the relationship between heat load, flow and temperature is as follows:

In the formula:

G—design flow rate, t/h;

Q—heat load, kW;

c—the specific heat capacity of water, kJ/kg·℃; (generally take 4.1868)

t1—water supply temperature, °C;

t2—return water temperature, °C.

That is, the heat load:

Q=c(t ₁ -t ₂ )G/3.6

It can be seen that the heat load Q is proportional to the flow rate G and the temperature difference between supply and return water (t ₁ -t ₂ ).

The main parameters affecting the heat load include but are not limited to: building height, heat transfer coefficient of building materials, building area with different orientations, indoor temperature and outdoor temperature, etc. In the existing community, the parameters of the building itself have been fixed, so the heat load Q can be obtained by the following formula:

Q＝abV(t _np -t _w )

The parameter a is the temperature correction coefficient, which corresponds to different outdoor temperatures. E.g:

Outdoor temperature °C Correction factor a 0 2.05 -5 1.67 -10 1.45

The parameter b is the building correction coefficient, which corresponds to the unused building materials, orientation and usage of the building (for example, the temperature of the bathroom should be slightly higher than that of the bedroom, etc.). V is the building outline volume, t _np is the average indoor temperature, and t _w is the outdoor temperature.

It can be seen that abV(t _np -t _w )=c(t ₁ -t ₂ )G/3.6

The temperature difference between supply and return water (t ₁ -t ₂ ) is generally determined by the area of the heat sink of the user, but for the end users of the heating system, if the supply water temperature is too low, when the water flow reaches these users, the water temperature is already very low , it cannot be guaranteed that these users can reach the set temperature difference, so the indoor temperature of these users will also be greatly affected.

It can be seen that, given the known outdoor temperature, adjusting the indoor temperature can be realized by adjusting the water supply temperature of the community and the flow rate of the water pump. Whether it is to adjust the temperature of the water supply or the flow rate of the water pump separately, or at the same time, it can realize the regulation and control of the indoor temperature.

A large amount of historical data is stored in the existing air-conditioning big data database. Optionally, in some embodiments, based on these historical data, a positive correlation between the average indoor temperature of the community and the outdoor temperature, water pump flow, and water temperature can be established. There are many factors that affect the indoor temperature. Although it can be known that when the outdoor temperature is constant, the relationship between the average indoor temperature, the pump flow rate and the water temperature is generally positively correlated, but the specific relationship cannot be quantitatively obtained. Quantitative analysis and adjustment of the average indoor temperature can be realized by establishing an appropriate mathematical model through the values of the average indoor temperature, outdoor temperature, water pump flow and water temperature in the historical data of the big data statistics.

Optionally, in some embodiments, the positive correlation between the average indoor temperature and outdoor temperature, water pump flow and water temperature is trained by decision tree algorithm. When the heating system adjusts the flow rate of the water pump or the water temperature, the adjustment amount of at least one of the flow rate of the water pump and the water temperature may be determined according to the current outdoor temperature and the positive correlation. The huge user base of existing intelligent air conditioners has accumulated a large amount of air conditioning data. On the basis of these data, the positive correlation between indoor temperature and outdoor temperature, water pump flow and water temperature is established, and the heating system is realized by quantitatively adjusting water pump flow and/or water temperature. The refined regulation avoids energy waste caused by repeated fine-tuning.

Optionally, in the foregoing embodiments, the outdoor temperature of the cell is obtained through the following steps: determining the geographic location of the cell; obtaining real-time weather data corresponding to the geographic location, and the temperature information contained in the weather data is the outside temperature. Using the real-time sharing of Internet data, obtaining weather data accurate to the community through the cloud platform can provide more reliable and richer data, avoiding the waste of manpower and material resources caused by the deployment of temperature acquisition modules.

Optionally, in some implementations, the temperature sensor in the outdoor unit of the smart air conditioner can be used to sense the outdoor temperature and uploaded to the server through the wireless communication module of the smart air conditioner.

Optionally, in any of the foregoing embodiments, before adjusting the heating flow supplied to the sub-district according to the difference ΔT, it is necessary to determine whether at least one of the water pump flow and water temperature supplied to the sub-district exceeds the corresponding preset threshold value. When at least one of the water pump flow rate and water temperature in the community exceeds the corresponding preset threshold value, an alarm prompt is issued.

If the water pump flow rate or water temperature in the community has reached the threshold value, but the average indoor temperature of the community is still beyond the normal range, it will determine the abnormal situation, the server will alarm, and prompt the location of the abnormal community. For example, according to the regulation of heating water flow, the diameter of the heating pipeline is 15mm, the flow rate should be less than 0.8m/s, the flow rate should be less than 1.0m/s when the pipe diameter is 20mm, and the flow rate should be less than 1.2m/s when the pipe diameter is 25mm. When the water flow adjustment has exceeded the above threshold value, but the indoor temperature is still not within the standard range, it is considered that the district heating system is faulty. According to the regulation of heating water temperature:

Minimum outdoor temperature ℃ Return water temperature ℃ Supply water temperature ℃ 5～10 35 40 3～5 45 50～55 0～3 42 55～60 -2～0 55 60～65 -5～-2 60 65～70 -5 or less 60 65～70

If the water supply temperature has exceeded the above threshold value, but the average indoor temperature of the community is still not within the standard range, it is considered that the district heating system is faulty. By monitoring the average indoor temperature, the flow rate of the water pump and the temperature of the water supply, the fault point can be found in time, which is convenient for the staff to troubleshoot in time.

Optionally, in any of the foregoing embodiments, adjusting the time period according to the ΔT includes: shortening the time period according to a preset ratio when the absolute value of the ΔT is greater than a first temperature difference threshold, or, according to The preset unit time shortens the time period, or shortens the time period to a preset time period.

For example, if the first temperature difference threshold is 2°C and ΔT is 6°C, it indicates that the temperature difference is large, and the heating flow of the community should be quickly adjusted. In order to monitor the heating situation of the community in real time, increase the frequency of data reporting, and shorten the time period for collecting user indoor temperature.

Optionally, the preset ratio includes a first preset ratio and a second preset ratio, the preset unit time includes a first unit time and a second unit time, and the preset time period includes a first time period and a second time period. Wherein, the first preset ratio is smaller than the second preset ratio, the first unit time is shorter than the second unit time, and the first time period is longer than the second time period.

Optionally, when the absolute value of ΔT is greater than the first temperature difference threshold and less than the second temperature difference threshold, shortening the time period by a first preset ratio or shortening the time period by a first unit time, or , shorten the time period to the first time period; when the absolute value of the ΔT is greater than or equal to the second temperature difference threshold, shorten the time period according to a second preset ratio or shorten the time period according to a second unit time the time period, or shorten the time period to a second time period. Wherein, the second temperature difference threshold is greater than the first temperature difference threshold.

Optionally, the first temperature difference threshold is 2°C or 3°C, and the second temperature difference threshold is 4°C or 5°C.

Optionally, the first preset ratio is 25%, and the second preset ratio is 50%.

Optionally, the first unit time is 10 minutes, and the second unit time is 20 minutes.

Optionally, the first time period is 30 minutes, and the second time period is 15 minutes.

It is more conducive to fine control by setting multiple temperature difference thresholds and multiple corresponding adjustment parameters.

Optionally, in some embodiments, if the average indoor temperature of a cell falls within the standard temperature range during a detection, that is, when the absolute value of ΔT is less than or equal to the first temperature difference threshold, then the cell user’s temperature can be maintained or even reduced. The frequency of data reporting by smart air conditioners. For example, in one detection, if the absolute value of the difference ΔT between the average value T of the indoor temperatures of multiple users and a set temperature T' is less than the first temperature difference threshold, it can be checked after an interval of 1 hour. Detect the average indoor temperature of the cell B, if it is still lower than the first temperature difference threshold, then detect the average indoor temperature of the cell at intervals of 2 hours, etc., and so on. In one embodiment, the detection interval can be set to be no more than 6 hours to prevent sudden equipment failures or heating accidents. This helps to distinguish the key monitoring area from the standard temperature area, reasonably plan the frequency of data reporting by smart air conditioners, reduce the amount of data storage and processing to a certain extent, and save energy.

Optionally, in any of the foregoing embodiments, it also includes calculating the difference ΔT' between the real-time indoor temperature of each user in the cell and the average value T of the indoor temperature of multiple users, and the absolute value of ΔT' When it is greater than or equal to the preset threshold, an alarm prompt will be issued. It is convenient to timely deal with the uneven heating caused by the different distances between some users and the heating system or the different heating equipment. In the above embodiments, the heating temperature adjustment is performed with the community as a whole. In this embodiment, specific to each user in the cell, after obtaining the average indoor temperature of the cell, the difference between the real-time indoor temperature of each user in the cell and the average indoor temperature of the cell can also be calculated, if the difference If the absolute value of the value is greater than the preset threshold, it means that there may be abnormal heating in the corresponding user's home. For example: the average indoor temperature of a community A is 20°C, and 4°C is preset as the abnormal threshold, that is, the preset threshold. If the indoor temperature of user m is 10°C, and the absolute value ΔT' of the difference from the average indoor temperature is 10°C, it is considered that the heating in user m's home is abnormal, and the server will prompt the abnormal situation and display the specific location of user m, which is convenient The staff came to check for abnormalities.

Figure 2 shows the trend curves of the average indoor temperature and outdoor temperature of the six communities provided by the air-conditioning big data. As shown in FIG. 2 , the ordinate of the graph is the temperature, and the abscissa is the date, recording the average indoor temperature trend of the 6 communities between November 13, 2015 and March 2, 2016. The average indoor temperature of these six districts is mainly distributed between 22°C and 25°C. The two curves in the frame line in Figure 2 record the outdoor weather from November 13, 2015 to March 2, 2016. Temperature changes, where the upper curve records the highest temperature of the day, and the lower curve records the lowest temperature of the day. According to Figure 2, it can be seen that the trend of the average indoor temperature curves of each district is very close. By comparing with the temperature change of outdoor weather, it can be seen that the average indoor temperature of each district is strongly correlated with the outdoor temperature. In some cases, the indoor temperature is easily affected by the outdoor temperature.

It can be seen from this that the change of the indoor temperature can be predicted in advance through the change of the outdoor temperature.

In some embodiments, a method for heating regulation includes the steps of:

According to the database of air-conditioning big data, the positive correlation relationship between the average indoor temperature and outdoor temperature, water pump flow and water temperature of the community is obtained;

Obtain weather forecast information corresponding to the geographic location of the community, and determine the outdoor temperature for a preset time in the future from the weather forecast information;

Adjusting at least one of the flow rate of the water pump and the water temperature according to the outdoor temperature for the preset time period in the future and the positive correlation.

As described in the previous embodiments, the positive correlation relationship can be established by modeling the historical data in the large air-conditioning database to establish the positive correlation relationship between the average indoor temperature and outdoor temperature, water pump flow rate and water temperature. When the heating system adjusts the water pump flow or water temperature, the adjustment amount of the water pump flow and/or water temperature can be determined according to the future air temperature predicted by the weather forecast and the positive correlation relationship, so as to realize the temperature regulation in advance and keep the indoor temperature of the user's home. Constant temperature improves user experience.

According to the current short-term weather forecast information, the forecast information shows the temperature every three hours. In some embodiments, three hours can be selected as the preset time length, and the outdoor temperature of the area where the cell is located in the next three hours can be obtained in advance. According to the outdoor temperature and the above positive correlation, the corresponding temperature when the average indoor temperature remains constant can be obtained. Water pump flow and water temperature information, timely adjustment.

Make full use of the statistical analysis function of big data, shorten the collection cycle of temperature, and realize the rapid adjustment of heating to make the heating temperature reach the standard.

Optionally, in some other embodiments, the outdoor temperature prediction information of the area where the cell is located in the next day may also be obtained according to the short-term weather forecast of the area where the cell is located, with one day as the preset duration. The weighted average of the highest temperature and the lowest temperature in the next day is used as the outdoor temperature information. According to the above positive correlation relationship, the corresponding water pump flow and water temperature information when the average indoor temperature remains constant are obtained and adjusted in time. The weighted average can be used to adjust the weighting coefficient according to the length of day and night, etc., so that the calculation of the outdoor temperature can more accurately reflect the temperature situation of the next day.

In some embodiments, the heating adjustment process further includes: adjusting the heating flow per unit time according to ΔT. Adjusting the heating flow per unit time includes increasing the heating flow per unit time and decreasing the heating flow per unit time. Increasing the heating flow per unit time means accelerating the adjustment speed of the heating flow. When increasing the heating flow, increasing the heating flow per unit time means accelerating the heating flow rate; when decreasing the heating flow, increasing the heating flow per unit time means accelerating the heating flow rate. Reducing the heating flow per unit time means slowing down the adjustment speed of the heating flow. When increasing the heating flow, reducing the heating flow per unit time means slowing down the rate of increase of the heating flow; when reducing the heating flow, reducing the heating flow per unit time means slowing down the decreasing speed of the heating flow.

Optionally, the unit time is a set value, for example, 10 minutes may be used as the unit time, 30 minutes may be used as the unit time, and 1 hour may also be used as the unit time. Correspondingly, the heating flow per unit time refers to the heating flow every 10 minutes, the heating flow every 30 minutes, or the heating flow every hour.

Optionally, when the absolute value of ΔT is greater than the first temperature difference threshold, the heating flow per unit time is adjusted according to ΔT.

Optionally, adjusting the heating flow per unit time according to ΔT includes: increasing the heating flow per unit time according to a first preset ratio when the absolute value of ΔT is greater than the first temperature difference threshold and smaller than the second temperature difference threshold; When the absolute value of ΔT is greater than the second temperature difference threshold, the heating flow per unit time is increased by a second preset ratio.

Optionally, the first temperature difference threshold is 2°C or 3°C, and the second temperature difference threshold is 4°C or 5°C.

Optionally, the first preset ratio is 25%, and the second preset ratio is 50%.

Fig. 3 is a block diagram of a device for heating regulation according to an exemplary embodiment. As shown in Fig. 3 , the device includes: a collection module 31 , a calculation module 32 and an adjustment module 33 .

The collection module 31 is configured to collect indoor temperatures of multiple users in the community within a set time period.

The calculation module 32 is used to calculate the average value T of the indoor temperatures of the multiple users and calculate the difference ΔT between the average value T and a set temperature T'.

An adjustment module 33, configured to adjust the heating flow supplied to the sub-district according to the ΔT, and adjust the time period according to the ΔT.

In the device for heating adjustment provided in this embodiment, the collection module periodically collects the indoor temperatures of multiple users in the community, and the calculation module calculates the difference between the indoor temperatures of multiple users in the community collected by the collection module and the set temperature, according to The difference is used to adjust the heating flow of the community, and is regulated by the adjustment module, so that the response speed to the indoor temperature change of the community is fast, the adjustment reliability of the heating flow is high, and the user experience is improved.

The device shown in FIG. 3 is used to implement the above-mentioned method flow shown in FIG. 1 , and the relevant content involved is described in the same way, and will not be repeated here.

Optionally, in some embodiments, the real-time indoor temperature of each user in the community is collected through the wireless communication module of the smart air conditioner, and then the average indoor temperature of the community is calculated.

Optionally, the adjustment module is configured to increase the heating flow of the sub-district when the ΔT is smaller than a first threshold; reduce the heating flow of the sub-district when the ΔT is greater than a second threshold; wherein, the first A threshold is less than or equal to zero, and the second threshold is greater than or equal to zero.

Optionally, the adjustment module is configured to adjust the flow rate and/or water temperature of the water pump supplied to the residential area.

Optionally, the adjustment module is configured to, when the absolute value of ΔT is greater than the first temperature difference threshold, shorten the time period by a preset ratio, or shorten the time period by a preset unit time, or to shorten the time period to a preset time period.

Optionally, the preset ratio includes a first preset ratio and a second preset ratio, the preset unit time includes a first unit time and a second unit time, and the preset time period includes a first time period and a second time period. Wherein, the first preset ratio is greater than the second preset ratio, the first unit time is longer than the second unit time, and the first time period is shorter than the second time period.

Optionally, when the absolute value of the ΔT is greater than the first temperature difference threshold and less than the second temperature difference threshold, the adjustment module shortens the time period according to a first preset ratio, or shortens the time period according to a first unit time The time period, or shorten the time period to the first time period; when the absolute value of the ΔT is greater than or equal to the second temperature difference threshold, the adjustment module shortens the time period according to a second preset ratio The time period, or shorten the time period by the second unit time, or shorten the time period to the second time period. Wherein, the second temperature difference threshold is greater than the first temperature difference threshold.

Optionally, the adjustment module is further configured to adjust the heating flow per unit time according to the ΔT. Wherein, when the absolute value of ΔT is greater than the first temperature difference threshold, the adjustment module adjusts the heating flow per unit time according to ΔT. Wherein, when the absolute value of the ΔT is greater than the first temperature difference threshold and less than the second temperature difference threshold, the adjustment module increases the heating flow per unit time according to the first preset ratio; when the absolute value of the ΔT is greater than the second When the temperature difference threshold is reached, the adjustment module increases the heating flow per unit time according to a second preset ratio. Wherein, the first preset ratio is smaller than the second preset ratio.

Optionally, the first temperature difference threshold is 2°C or 3°C, and the second temperature difference threshold is 4°C or 5°C.

Optionally, the first preset ratio is 25%, and the second preset ratio is 50%. Optionally, in some embodiments, the device may further include: a judging module and a prompting module. A judging module, configured to judge whether the flow rate and/or water temperature of the water pump supplied to the sub-district exceeds a corresponding preset threshold value. A prompting module, configured to issue an alarm prompt when the flow rate and/or water temperature of the water pump supplied to the community exceeds a corresponding preset threshold value.

Optionally, in some embodiments, the device may further include: a relationship establishing module and a determining module.

Establishing a relationship module according to the historical data stored in the database, establishing a positive correlation between the average indoor temperature of the community and outdoor temperature, water pump flow and water temperature; determining the module according to the current outdoor temperature and the positive correlation established by the relationship building module to determine the water pump flow and/or water temperature adjustments. The adjustment module 33 quantitatively adjusts the flow rate of the water pump and/or the water temperature according to the determined adjustment amount.

Quantitative adjustment of water pump flow and/or water temperature realizes fine regulation of the heating device and avoids energy waste caused by repeated fine-tuning.

Optionally, in some embodiments, the database can be formed by using the outdoor temperature and indoor temperature data recorded by the existing intelligent air conditioner big data, combined with the statistical data of water pump flow and water temperature.

Optionally, in some embodiments, the device for heating regulation described in any one of the foregoing embodiments may be included in a server of the heating system. The system also includes an intelligent air conditioner, which has a wireless communication module, such as a WiFi module, and can send the acquired user's indoor temperature information to the heating adjustment device. The system also has a water pump on which a flow meter and a temperature sensor are installed, and the heating regulating device can obtain the flow rate and water temperature of the water pump through a communication module on the water pump, such as a WiFi module. The server can determine the adjustment amount of the flow rate of the water pump and/or the water temperature according to the current average indoor temperature and outdoor temperature data. In addition, the corresponding relationship between pump flow, water temperature, average indoor temperature and outdoor temperature can be counted in the database, which is convenient for modeling and analysis of the relationship between these parameters.

Optionally, in some embodiments, the heating adjustment device further includes a display module, configured to display one or more of the real-time outdoor temperature, the average indoor temperature of the community, the flow rate of the water pump and the water temperature kind. Through the visual display of the display module, it is convenient for the staff to obtain the main heating parameters of the community in time.

Optionally, in some embodiments, when the water pump flow rate and/or water temperature of the community exceeds the threshold value, but the average indoor temperature of the community still exceeds the standard temperature range, it is determined that the heating of the community is faulty, and the fault information is sent to And the location of the cell is displayed on the display module, which is convenient for the staff to troubleshoot in time.

Optionally, in some embodiments, when the average temperature of the cell is normal, but the difference between the indoor temperature of a certain user in the cell and the average indoor temperature of the cell exceeds a certain threshold, it is determined that the heating system of the user is faulty, and the The fault information and the user's location are displayed on the display module, which is convenient for staff to troubleshoot in time.

Each module in the device for heating adjustment provided above may be a hardware module or a software module.

The device for heating adjustment provided by the present invention may further include a processor and a memory, wherein instructions that can be read and executed by the processor are stored in the memory, and the processor is configured to execute the above-mentioned method in each embodiment A step of.

It should be understood that the present invention is not limited to the processes and structures that have been described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (10)

1. a kind of method for heating regulation, it is characterised in that including：

The indoor temperature of multiple users in cell is collected within the time cycle of setting；

Calculate the average value T of the indoor temperature of the multiple user；

Calculate the average value T and a design temperature T ' difference DELTA T；

The heating flow for supplying the cell is adjusted according to the Δ T, and the time cycle is adjusted according to the Δ T.

2. the method as described in claim 1, it is characterised in that lift the cell when the Δ T is less than first threshold Heat flow；The heating flow of the cell is reduced when the Δ T is more than Second Threshold；Wherein, the first threshold is less than Or equal to zero, the Second Threshold is more than or equal to zero.

3. the method as described in claim 1, it is characterised in that the heating flow that the regulation supplies the cell includes regulation Supply the pump capacity and/or water temperature of the cell.

4. the method as described in claim 1, it is characterised in that described to be included according to the Δ T regulation time cycles：

When the absolute value of the Δ T is more than the first temperature difference threshold, the time cycle is shortened by preset ratio, or, by pre- If unit interval shorten time cycle, or, the time cycle is foreshortened into the default time cycle.

5. the method as described in any one of Claims 1-4, it is characterised in that also include：When adjusting unit according to the Δ T Interior heating flow.

6. a kind of device for heating regulation, it is characterised in that including：

Collection module, the indoor temperature for collecting multiple users in cell within the time cycle of setting；

Computing module, for the indoor temperature that calculates the multiple user average value T and calculate the average value T and a setting Temperature T ' difference DELTA T；

Adjustment module, the heating flow of the cell is supplied for being adjusted according to the Δ T, and according to Δ T regulations Time cycle.

7. device as claimed in claim 6, it is characterised in that the adjustment module, for being less than first threshold as the Δ T The heating flow of cell described in Shi Tisheng；The heating flow of the cell is reduced when the Δ T is more than Second Threshold；Wherein, The first threshold is less than or equal to zero, and the Second Threshold is more than or equal to zero.

8. device as claimed in claim 6, it is characterised in that the adjustment module, the water for adjusting the supply cell Pump discharge and/or water temperature.

9. device as claimed in claim 6, it is characterised in that the adjustment module, for being more than when the absolute value of the Δ T During the first temperature difference threshold, the time cycle is shortened by preset ratio, or, shorten week time by the default unit interval Phase, or, the time cycle is foreshortened into the default time cycle.

10. the device as described in any one of claim 6 to 9, it is characterised in that the adjustment module, is additionally operable to according to described Heating flow in the Δ T regulation unit interval.