WO2018192307A1 - 供暖调节方法及装置 - Google Patents
供暖调节方法及装置 Download PDFInfo
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- WO2018192307A1 WO2018192307A1 PCT/CN2018/077849 CN2018077849W WO2018192307A1 WO 2018192307 A1 WO2018192307 A1 WO 2018192307A1 CN 2018077849 W CN2018077849 W CN 2018077849W WO 2018192307 A1 WO2018192307 A1 WO 2018192307A1
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- 238000000034 method Methods 0.000 title claims abstract description 29
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 118
- 238000010438 heat treatment Methods 0.000 claims description 63
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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
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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
- F24D11/00—Central heating systems using heat accumulated in storage masses
- F24D11/02—Central heating systems using heat accumulated in storage masses using heat pumps
- F24D11/0214—Central heating systems using heat accumulated in storage masses using heat pumps water heating system
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/1927—Control of temperature characterised by the use of electric means using a plurality of sensors
- G05D23/193—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces
- G05D23/1932—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of a plurality of spaces
- G05D23/1934—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of a plurality of spaces each space being provided with one sensor acting on one or more control means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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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
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/04—Sensors
- F24D2220/042—Temperature sensors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Definitions
- the invention relates to the technical field of thermal system management, in particular to a heating adjustment method and device.
- the standard indoor temperature for central heating is 18 °C ⁇ 2 °C, but the heating company can not monitor the actual indoor temperature of each district and each household, but only adjust according to experience and weather conditions. Frequently, the heating supply is not up to standard or exceeds the standard. Some homes have to open windows for the entire heating season to reach 26°C or above, and some households often complain about temperatures below 16°C.
- the present invention provides a heating adjustment method, the method comprising:
- Calculating an average indoor temperature of the cell where the average indoor temperature of the cell refers to an average value of real-time indoor temperatures of each household in the cell;
- At least one of a water pump flow rate and a water temperature supplied to the cell is adjusted.
- the method determines whether the heating of the cell is within the normal range, and timely discovers a cell that does not meet the standard or seriously exceeds the standard, and performs regulation.
- the calculating the average indoor temperature of the cell includes:
- the average indoor temperature of the cell is calculated based on the real-time indoor temperature of each household.
- the indoor temperature of the household can be quickly obtained.
- the average value of the indoor temperature of the residents in the community is used as a reference for heating regulation, which can alleviate the impact of heating abnormalities of individual households.
- the adjusting at least one of a water pump flow rate and a water temperature supplied to the cell includes:
- At least one of the water pump flow rate and the water temperature is quantitatively adjusted according to the determined adjustment amount.
- the huge user base of the existing intelligent air conditioner has accumulated a large amount of air conditioning data. Based on these data, a positive correlation between the indoor temperature and the outdoor temperature, the pump flow rate and the water temperature is established, and at least one of the pump flow rate and the water temperature can be relatively accurately determined. The amount of adjustment of the item avoids waste of energy.
- the outdoor temperature is obtained by the following steps:
- the outdoor temperature can also be obtained by the following steps:
- the outdoor temperature of the preset time period can be known, and the heating amount can be adjusted in advance according to the future temperature change to prevent the indoor temperature from fluctuating due to the change of the outdoor weather.
- the method further includes:
- An alert is issued when at least one of the water pump flow rate and the water temperature of the cell exceeds a corresponding preset threshold value.
- the method further includes:
- the heating facility in the household may be faulty.
- the indoor temperature of the household By comparing the indoor temperature of the household with the average indoor temperature of the residential area, it is possible to know the precise heating situation of the household, and timely check the fault to ensure heating.
- the present invention provides a heating adjustment apparatus, the apparatus comprising:
- a calculation module configured to calculate an average indoor temperature of the cell, where an average indoor temperature of the cell refers to an average value of real-time indoor temperatures of each household in the cell;
- a determining module configured to determine whether the average indoor temperature belongs to a standard temperature range
- an adjustment module configured to adjust at least one of a water pump flow rate and a water temperature supplied to the cell when the average indoor temperature does not belong to the standard temperature range.
- the heating adjustment device further includes:
- the obtaining module is configured to obtain real-time indoor temperature of each household in the cell collected by the wireless communication module of the smart air conditioner;
- the calculating module is configured to calculate an average indoor temperature of the cell according to real-time indoor temperatures of each household acquired by the acquiring module.
- the heating adjustment device further includes:
- Determining a module determining a adjustment amount of at least one of a water pump flow rate and a water temperature according to a current correlation between the current outdoor temperature and the establishing relationship module;
- the adjustment module is configured to adjust at least one of a water pump flow rate and a water temperature according to an adjustment amount determined by the determination module.
- the heating water pump flow rate and the water temperature supplied to the cell are adjusted, and the temperature of the cell is restored to the standard value, the response speed is fast, the reliability is high, and the user experience is improved, and energy is saved.
- FIG. 1 is a flow chart showing a heating adjustment method according to an exemplary embodiment
- FIG. 3 is a flowchart of a heating adjustment method according to an exemplary embodiment
- FIG. 4 is a structural block diagram of a heating adjustment apparatus according to an exemplary embodiment
- FIG. 5 is a structural block diagram of another heating adjustment apparatus according to an exemplary embodiment
- FIG. 6 is a structural block diagram of still another heating adjustment apparatus according to an exemplary embodiment.
- FIG. 1 is a flow chart of a heating adjustment method according to an exemplary embodiment. As shown in FIG. 1, the method includes:
- Calculating an average indoor temperature of the cell where the average indoor temperature of the cell refers to an average value of real-time indoor temperatures of each household in the cell;
- At least one of a water pump flow rate and a water temperature supplied to the cell is adjusted.
- a certain district A has 200 households, and the arithmetic mean of the indoor temperatures of all the households can be calculated, and the cut-off average of the indoor temperatures of all the households can also be used as the average indoor temperature of the residential area.
- the truncated average value it can effectively prevent the influence of temperature abnormality of individual users in the cell A.
- a resident m is very afraid of cold, and air conditioning is also installed on the basis of heating of the house, and the temperature setting is high, and the resident n
- the radiators in the home are aging, or the installation area is small, so the indoor temperature is low.
- the indoor standard temperature is 18 °C ⁇ 2 °C.
- the implementation standards of various provinces and regions are slightly different, and individual cities have reached 20 °C ⁇ 2 °C.
- the indoor temperature is 20°C
- the temperature is 18°C
- the temperature is 15°C. Therefore, in order to improve the quality of life and meet the requirements of adjustable room temperature, China's relevant specifications will set the indoor temperature range of the main room of civil buildings at 18-24 ° C. From the actual survey results, most of the building heating design temperature is 18 -20 ° C.
- the standard temperature range may be set according to regional environmental differences and local policies, but the minimum temperature of the range is not lower than 16 ° C, and the maximum temperature is not higher than 24 ° C to avoid unnecessary Energy waste.
- the main parameters affecting the indoor temperature in the heating system are outdoor temperature, pump flow and water temperature. According to the calculation formula of 7.1.1 design flow in CJJ34-2010 "Design Code for Urban Heating Pipe Network", the heat load, flow rate and temperature are as follows:
- T1 water supply temperature, °C
- T2 backwater temperature, °C.
- thermal load Q is proportional to the flow rate G and the supply and return water temperature difference (t 1 -t 2 ).
- the main parameters affecting the heat load include, but are not limited to, the building height, the heat transfer coefficient of the building materials, the building area of different orientations, the indoor temperature and the outdoor temperature.
- the thermal load Q can be known by the following formula:
- the parameter a is a temperature correction coefficient corresponding to different outdoor temperatures. E.g:
- the parameter b is the building correction factor, which corresponds to the building materials, orientation and use that the building does not use (for example, the bathroom temperature should be slightly higher than the bedroom temperature, etc.).
- V is the building profile volume
- t np is the average room temperature
- t w is the outdoor temperature.
- the temperature difference of the return water (t 1 -t 2 ) is generally determined by the heat sink area of the household, but for the households at the end of the heating system, if the water supply temperature is too low, when the water reaches these households, the water temperature is already low. There is no guarantee that these households will reach the set temperature difference, and the indoor temperature of these households will also be greatly affected.
- adjusting the indoor temperature can be achieved by adjusting the water supply temperature of the cell and the water pump flow rate. Whether it is to adjust the water supply temperature or pump flow separately, or to adjust at the same time, the indoor temperature can be adjusted.
- the real-time indoor temperature of each household in the cell collected by the wireless communication module of the smart air conditioner can be obtained, and then the average indoor temperature of the cell is 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 module.
- the invention is not limited.
- the intelligent air-conditioning equipment has the function of measuring the indoor temperature, and uses the WiFi module provided by the smart air conditioner to know the indoor temperature of the household in real time, so as to avoid installing a new temperature measuring module in the household, reducing the layout cost, and Stability and penetration are high. Compared with the traditional household temperature measurement, it can save a lot of manpower and material resources and improve reliability.
- the WiFi module of the smart air conditioner can report the indoor temperature to the server every hour.
- the reporting interval can be adjusted according to the oldness of the cell 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 cell A is often lower than 16 ° C, then the cell A can be used as a key control object, and the intelligent air conditioner of the residential unit of the cell can report the indoor temperature data to the server every half an hour.
- the server can analyze the data of the cell A, adjust the water pump flow rate or water temperature supplied to the cell A in time, or simultaneously adjust the water pump flow rate and the water temperature supplied to the cell A, and obtain timely feedback.
- the frequency of reporting data of the smart air conditioner of the residential unit can be reduced, for example, in one test, according to the real-time indoor of each household.
- the temperature is calculated as the average indoor temperature of the cell B is 20 ° C, then the average indoor temperature of the cell B can be detected after 2 hours, and if it is still the standard temperature, the average indoor temperature of the cell is detected at intervals of 4 hours. analogy.
- the detection interval may be set to no more than 6 hours to prevent sudden equipment failure or heating accidents.
- the existing database of air-conditioning big data stores a large amount of historical data.
- a positive correlation between the average indoor temperature of the cell and the outdoor temperature, the water pump flow rate, and the water temperature can be established based on the historical data.
- a positive correlation between the average indoor temperature and the outdoor temperature, pump flow, and water temperature is trained by a decision tree algorithm.
- the heating system adjusts the water pump flow rate or the water temperature
- the adjustment amount of at least one of the water pump flow rate and the water temperature may be determined according to the current outdoor temperature and the positive correlation relationship.
- the huge user base of the existing intelligent air conditioner has accumulated a large amount of air conditioning data. Based on these data, a positive correlation between indoor temperature and outdoor temperature, pump flow rate and water temperature is established, and the water pump flow rate and/or water temperature are quantitatively adjusted to realize the heating system. The refined control prevents energy waste caused by repeated fine-tuning.
- the outdoor temperature of the cell is obtained by determining a geographic location of the cell, acquiring real-time meteorological data corresponding to the geographic location, and the temperature information included in the meteorological data is the outdoor temperature.
- the outdoor temperature can be sensed by a temperature sensor in the smart air conditioner outdoor unit and uploaded to the server through the wireless communication module of the smart air conditioner.
- the server alarms if the cell water pump flow rate or water temperature has reached the threshold value, but the average indoor temperature of the cell is still outside the normal range, an abnormal condition is determined, the server alarms, and the location of the abnormal cell is indicated.
- 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 diameter is 20mm
- the flow should be less than 1.2m/s when the diameter is 25mm.
- Outdoor minimum temperature °C Return water temperature °C Water supply temperature °C 5 ⁇ 10 35 40 3 ⁇ 5 45 50 ⁇ 55 0 to 3 42 55 ⁇ 60 -2 ⁇ 0 55 60 ⁇ 65 -5 ⁇ -2 60 65 ⁇ 70 -5 or less 60 65 ⁇ 70
- the fault point can be found in time, which is convenient for the staff to check in time.
- the heating temperature is adjusted as a whole.
- the difference between the real-time indoor temperature of each household in the cell and the average indoor temperature of the cell may be calculated, if If the absolute value of the difference is greater than the preset threshold, there may be a heating abnormality in the corresponding household.
- the average indoor temperature of a certain area A is 20 ° C
- the preset 4 ° C is an abnormal threshold
- the indoor temperature of the resident m is 10 ° C
- the absolute value of the difference from the average indoor temperature is 10 ° C.
- the server will prompt the abnormal situation, and display the specific location of the resident m, so that the staff can check the abnormality.
- Figure 2 shows the trend of the average indoor temperature and outdoor temperature of the six cells provided by the air conditioning big data.
- the ordinate of the graph is temperature
- the abscissa is date
- the average indoor temperature trend of the six cells is recorded between November 13, 2015 and March 2, 2016.
- the average indoor temperature of these 6 plots is mainly distributed between 22 °C and 25 °C.
- the two curves in the frame of Figure 2 record the outdoor weather between November 13, 2015 and March 2, 2016.
- the average indoor temperature curve of each cell is very close.
- the indoor temperature of each cell is strongly correlated with the outdoor temperature, without interfering with heating. In this case, the indoor temperature is extremely susceptible to the outdoor temperature.
- the heating adjustment method includes the following steps:
- the positive correlation between the average indoor temperature of the community and the outdoor temperature, the pump flow rate and the water temperature is obtained;
- At least one of a water pump flow rate and a water temperature is adjusted according to the outdoor temperature of the future preset time period and the positive correlation.
- the positive correlation can establish a positive correlation between the average indoor temperature and the outdoor temperature, the pump flow rate, and the water temperature by modeling the historical data in the large database of the air conditioner.
- the heating system adjusts the pump flow rate or the water temperature
- the adjustment of the pump flow rate and/or the water temperature may be determined according to the future temperature predicted by the weather forecast and the positive correlation relationship, thereby realizing the temperature regulation in advance and maintaining the indoors of the household. Constant temperature to improve the user experience.
- the forecast information shows the temperature every three hours.
- the outdoor temperature of the area where the cell is located in the next three hours may be obtained in advance for three hours, and the average indoor temperature may be obtained according to the outdoor temperature and the positive correlation relationship.
- the water pump flow and water temperature information are adjusted in time.
- the outdoor temperature prediction information of the area where the cell is located in the future day may be obtained according to the short-term weather forecast of the area where the cell is located, with a preset time of one day.
- 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 more accurately reflects the temperature of the future day.
- FIG. 4 is a block diagram of a heating adjustment apparatus according to an exemplary embodiment. As shown in FIG. 4 , the apparatus includes a calculation module 41 , a determination module 42 , and an adjustment module 43 .
- the calculating module 41 is configured to calculate an average indoor temperature of the cell, where an average indoor temperature of the cell refers to an average value of real-time indoor temperatures of each household in the cell;
- the determining module 42 is configured to determine whether the average indoor temperature belongs to a standard temperature range
- the adjustment module 43 is configured to adjust the water pump flow rate and/or the water temperature supplied to the cell when the average indoor temperature does not belong to the standard temperature range.
- the heating adjustment device determines whether the average indoor temperature of the cell calculated by the calculation module is within a normal range by the determination module, and can timely find a cell whose heating is not up to standard or seriously exceeds the standard, and is regulated by the adjustment module.
- the device shown in FIG. 4 is used to implement the method flow shown in FIG. 1 , and the related content descriptions are the same, and are not described here.
- FIG. 5 is a block diagram showing another implementation of a heating adjustment apparatus according to an exemplary embodiment. As shown in FIG. 5, on the basis of the embodiment shown in FIG. 4, the apparatus may further include: an acquisition module 40.
- the obtaining module 40 is configured to acquire real-time indoor temperature of each household in the cell collected by the wireless communication module of the smart air conditioner.
- the calculating module 41 calculates an average indoor temperature of the cell according to the real-time indoor temperature of each household acquired by the acquiring module.
- FIG. 6 is a block diagram showing another implementation of a heating adjustment apparatus according to an exemplary embodiment. As shown in FIG. 6, on the basis of the embodiment shown in FIG. 4, the apparatus may further include: establishing a relationship module 44 and The module 45 is determined.
- the establishing relationship module 44 establishes a positive correlation between the average indoor temperature and the outdoor temperature, the water pump flow rate, and the water temperature according to the historical data stored in the database; the determining module 45 establishes a positive correlation relationship according to the current outdoor temperature and the establishing relationship module. Determine the adjustment of pump flow and / or water temperature.
- the adjustment module 43 quantitatively adjusts the water pump flow rate and/or the water temperature according to the determined adjustment amount.
- Quantitative adjustment of pump flow and / or water temperature enables fine control of the heating device, avoiding energy waste caused by repeated fine-tuning.
- the database may be constructed using existing outdoor temperature and indoor temperature data recorded by intelligent air conditioning big data, combined with water pump flow statistics and water temperature statistics.
- the above-described heating adjustment device may be included in a server of the heating system.
- the system further includes a smart air conditioner, and the smart air conditioner has a wireless communication module, such as a WiFi module, and the like, and can send the acquired indoor temperature information to the heating adjustment device.
- the system further has a water pump on which the flow meter and the temperature sensor are mounted, and the heating adjustment device can obtain the water pump flow rate and the water temperature through a communication module on the water pump, for example, a WiFi module.
- the server can determine the adjustment of the pump flow rate and/or the water temperature based on the current average indoor temperature and outdoor temperature data. In addition, the correspondence between pump flow, water temperature, average indoor temperature and outdoor temperature can be counted in the database to facilitate modeling and analysis of the relationship between these parameters.
- the heating adjustment device further includes a display module configured to display one or more of the real-time outdoor temperature, the average cell temperature of the cell, the water pump flow rate, and the water temperature.
- the water pump flow rate and/or the water temperature of the cell exceeds the threshold value, but the average indoor temperature of the cell still exceeds the standard temperature range, it is determined that the heating of the cell is faulty, and the fault information and the cell location are determined. Displayed on the display module, it is convenient for the staff to check the fault in time.
- the heating system of the household when the average temperature of the cell is normal, but the difference between the indoor temperature of the cell and the average indoor temperature of the cell exceeds a certain threshold, it is determined that the heating system of the household has a fault, and the fault is The information and the location of the household are displayed on the display module, so that the staff can check the fault in time.
- Each of the modules of the heating adjustment device provided above may be a hardware module or a software module.
- the heating adjustment apparatus may further include a processor and a memory, wherein the memory stores instructions for the processor to read and execute, and the processor is configured to perform the steps in the various embodiments of the method described above.
- the heating adjustment method and device provided by the present invention adjusts the temperature of the heating water pump supplied to the cell and the water temperature when determining the average indoor temperature abnormality of the current cell, so that the temperature of the cell returns to the standard value, the response speed is fast, the reliability is high, and Improve user experience and save energy.
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Abstract
一种供暖调节方法及装置,方法包括:计算小区的平均室内温度,小区的平均室内温度为小区中各住户的实时室内温度的平均值;判断平均室内温度是否属于标准温度值域;在平均室内温度不属于标准温度值域时,调节供给小区的水泵流量和水温中的至少一项。在小区的平均室内温度异常时,通过调节供暖水泵流量和水温,使小区的温度恢复标准值,其响应速度快,可靠性高。
Description
本申请基于申请号为201710254028.1、申请日为2017年04月18日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
本发明涉及热力***管理技术领域,尤其涉及供暖调节方法及装置。
在北方冬季进行供暖,国家规定的集中供热的标准室内温度为18℃±2℃,可是供暖公司监测不到各小区以及各住户的实际室内温度,只是根据经验及天气情况进行大概的调节,经常导致供热不达标或超标的情况,有的家里整个供暖季达到26℃以上要开窗,有的家里温度低于16℃经常投诉。
发明内容
为克服相关技术中存在的问题,本发明提供一种供暖调节方法,所述方法包括:
计算小区的平均室内温度,所述小区的平均室内温度指所述小区中各住户的实时室内温度的平均值;
判断所述平均室内温度是否属于标准温度值域;
在所述平均室内温度不属于所述标准温度值域时,调节供给所述小区的水泵流量和水温中的至少一项。
所述方法通过确定小区的供暖是否在正常范围内,及时发现供暖不达标或严重超标的小区,并进行调控。
可选的,所述计算小区的平均室内温度包括:
获取智能空调的无线通信模块采集的小区内各个住户的实时室内温度;
根据各个住户的实时室内温度计算所述小区的平均室内温度。
通过智能空调的无线通信模块,可以快速获知住户的室内温度。采用小区内住户的室内温度的平均值作为供暖调节的参考,可以减轻个别住户的供暖异常带来的影响。
可选的,所述调节供给所述小区的水泵流量和水温中的至少一项包括:
根据数据库中存储的历史数据,建立小区的平均室内温度与室外温度、水泵流量以及水温的正相关关系;
根据当前室外温度和所述正相关关系,确定水泵流量和水温中至少一项的调节量;
根据所述确定的调节量定量调节水泵流量和水温中的至少一项。
现有智能空调庞大的用户群已积累了大量的空调数据,在这些数据的基础上建立室内温度与室外温度、水泵流量和水温的正相关关系,可以相对精确的确定水泵流量和水温中至少一项的调节量,避免能源的浪费。
可选的,所述室外温度通过以下步骤获得:
确定所述小区的地理位置;
获取与所述地理位置对应的气象数据,所述气象数据中包含的温度信息即为所述室外温度。
通过云平台获取精确到小区的天气数据,更可靠,数据量更丰富。
可选的,所述室外温度还可以通过以下步骤获得:
确定所述小区的地理位置;
获取与小所述地理位置对应的天气预报信息,从所述天气预报信息中确定未来预设时长的室外温度。
通过天气预报信息,获知未来预设时长的室外温度,可以根据未来的温度变化,提前调节供暖量,防止室内温度因室外天气的变化而不断波动。
可选的,所述方法还包括:
在所述平均室内温度不属于所述标准温度值域时,判断供给所述小区的水泵流量和水温中的至少一项是否超过对应的预设门限值;
当所述小区的水泵流量和水温中的至少一项超过对应的预设门限值时,发出告警提示。
通过在测得温度异常时,判定水泵流量和水温中的至少一项是否超出对应的门限值,可以尽早发现温度异常是否是由于事故或者设备的故障引起的,方便工作人员及早排查。
可选的,所述方法还包括:
计算所述小区内各个住户的实时室内温度与所述小区的平均室内温度的差值;
在所述差值的绝对值大于或等于预设阈值时,则发出告警提示。
如果小区的平均室内温度正常,而其中的某一住户家中的室内温度异常,则可能是该住户家中的供暖设施出现故障。通过比较住户的室内温度与小区的平均室内温度,可以获知精确到户的供暖情况,及时排查故障,保障供暖。
另一方面,本发明提供了一种供暖调节装置,所述装置包括:
计算模块,用于计算小区的平均室内温度,所述小区的平均室内温度指所述小区中各住户的实时室内温度的平均值;
判断模块,用于判断所述平均室内温度是否属于标准温度值域;
调节模块,用于在所述平均室内温度不属于所述标准温度值域时,调节供给所述小区的水泵流量和水温中的至少一项。
可选的,所述供暖调节装置还包括:
获取模块,用于获取智能空调的无线通信模块采集的小区内各个住户的实时室内温度;
所述计算模块,用于根据所述获取模块获取到的各个住户的实时室内温度计算所述小区的平均室内温度。
可选的,所述供暖调节装置还包括:
建立关系模块,用于根据数据库中存储的历史数据,建立小区平均室内温度与室外温度、水泵流量以及水温的正相关关系;
确定模块,根据当前室外温度和所述建立关系模块建立的正相关关系,确定水泵流量和水温中至少一项的调节量;
所述调节模块用于根据所述确定模块确定的调节量调节水泵流量和水温中的至少一项。
充分利用大数据的统计分析功能,对调节给予定量指导,提高调节的效率和精度。
本发明的实施例提供的技术方案可以包括以下有益效果:
通过确定当前小区的平均室内温度异常时,调节供给该小区的供暖水泵流量和水温,使小区的温度恢复标准值,其响应速度快,可靠性高,并且提高了用户体验,节约了能源。应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能限制本发明。
此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本发明的实施例,并与说明书一起用于解释本发明的原理。
图1是根据一示例性实施例示出的一种供暖调节方法的流程图;
图2是空调大数据提供的6个小区的平均室内温度以及室外温度的走势曲线;
图3是根据一示例性实施例示出的一种供暖调节方法的流程图;
图4是根据一示例性实施例示出的一种供暖调节装置的结构框图;
图5是根据一示例性实施例示出的另一种供暖调节装置的结构框图;
图6是根据一示例性实施例示出的又一种供暖调节装置的结构框图。
以下描述和附图充分地示出本发明的具体实施方案,以使本领域的技术人员能够实践它们。实施例仅代表可能的变化。除非明确要求,否则单独的部件和功能是可选的,并且操作的顺序可以变化。一些实施方案的部分和特征可以被包括在或替换其他 实施方案的部分和特征。本发明的实施方案的范围包括权利要求书的整个范围,以及权利要求书的所有可获得的等同物。在本文中,各实施方案可以被单独地或总地用术语“发明”来表示,这仅仅是为了方便,并且如果事实上公开了超过一个的发明,不是要自动地限制该应用的范围为任何单个发明或发明构思。本文中,诸如第一和第二等之类的关系术语仅仅用于将一个实体或者操作与另一个实体或操作区分开来,而不要求或者暗示这些实体或操作之间存在任何实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素。本文中各个实施例采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似部分互相参见即可。对于实施例公开的结构、产品等而言,由于其与实施例公开的部分相对应,所以描述的比较简单,相关之处参见方法部分说明即可。
图1是根据一示例性实施例示出的一种供暖调节方法流程图。如图1所示,所述方法包括:
计算小区的平均室内温度,所述小区的平均室内温度指所述小区中各住户的实时室内温度的平均值;
判断所述平均室内温度是否属于标准温度值域;
在所述平均室内温度不属于所述标准温度值域时,调节供给所述小区的水泵流量和水温中的至少一项。
例如,某小区A具有200个住户,可以计算其所有住户的室内温度的算术平均值,也可以采用所有住户的室内温度的截尾平均值作为该小区的平均室内温度。采用截尾平均值,可以有效防止小区A中个别用户的温度异常带来的影响,如某住户m非常怕冷,在房屋供暖的基础上还开了空调,温度设定很高,而住户n家里的暖气片老化,或者安装面积很少,从而室内温度较低。
根据《民用建筑节能设计标准》和《采暖通风与空气调节设计规范》文件,室内指导标准温度为18℃±2℃。但是各个省份和地区的执行标准略有差异,个别城市达到了20℃±2℃。
据***门的研究结果,当人体衣着适宜、保暖量充分且处于安静状态时,室内温度20℃比较舒适,18℃无冷感,15℃是产生明显冷感的温度界限。因此,本着提高生活质量,满足室温可调的要求,我国相关规范将民用建筑主要房间的室内温度范 围定在18-24℃,从实际调查结果来看,大部分建筑供暖设计温度选择为18-20℃。
在本实施例中,所述标准温度值域可以根据地区环境差异以及地方政策设定,但是所述值域的最低温度不低于16℃,最高温度也不宜高于24℃以避免不必要的能源浪费。
以设定18℃-22℃为标准温度值域为例,当检测到某小区A的平均室内温度为16℃时,则判定所述小区A的室内温度不达标,需要调节小区A的供暖***。
影响供暖***中室内温度的主要参数有室外温度、水泵流量和水温。根据CJJ34—2010《城镇供热管网设计规范》中7.1.1设计流量的计算公式可知,热负荷、流量、温度之间如下:
式中:
G—设计流量,t/h;
Q—热负荷,kW;
c—水的比热容,kJ/kg·℃;(一般取4.1868)
t1—供水温度,℃;
t2—回水温度,℃。
也就是说,热负荷:
Q=c(t
1-t
2)G/3.6
由此可知,热负荷Q与流量G以及供回水温差(t
1-t
2)均成正比。
影响热负荷的主要参数包括但不限于:建筑高度、建筑材料的传热系数、不同朝向的建筑面积、室内温度和室外温度等。在现有小区中,建筑的自身参数已经固定,那么热负荷Q可以通过以下公式获知:
Q=abV(t
np-t
w)
其中参数a为温度修正系数,对应不同的室外温度。例如:
室外温度℃ | 修正系数a |
0 | 2.05 |
-5 | 1.67 |
-10 | 1.45 |
参数b为建筑修正系数,对应建筑物不用的建筑材料、朝向以及用途(例如,卫生间温度应略高于卧室温度等)。V为建筑物轮廓体积,t
np为平均室内温度,t
w为室外温度。
由此可见,abV(t
np-t
w)=c(t
1-t
2)G/3.6
而供回水温差(t
1-t
2)一般来说是由住户的散热片面积决定的,但是对于供暖***末端的住户,如果供水温度过低,当水流到达这些住户时,水温已经很低,不能保证这些住户的可以达到设定温差,从而这些住户的室内温度也会受到较大影响。
由此可见,在已知室外温度的情况下,调节室内温度可以通过调节小区的供水温度、以及水泵流量来实现。无论是单独调节供水温度或水泵流量,还是同时调节,都能实现对室内温度的调控。
该实施例通过确定小区的供暖是否在正常范围内,能够及时发现供暖不达标或严重超标的小区,并进行调控。
在一种实施方式中,可以获取智能空调的无线通信模块采集的小区内各个住户的实时室内温度,然后再计算得出小区的平均室内温度。
所述无线通信模块可以是WiFi模块、2.4G无线模块、ZigBee模块、光模块或者其他无线收发模块等,本发明不做限制。
以WiFi模块为例,智能空调设备均具有测室内温度的功能,利用智能空调自带的WiFi模块实时获知住户的室内温度,这样可以避免在住户家中安装新的测温模块,降低布设成本,并且稳定性和普及率较高。相比于传统的入户测温,可以大量节约人力物力,提高可靠性。
在一种实时方式中,智能空调的WiFi模块可以每间隔一小时向服务器上报一次室内温度。根据智能空调的大数据分析,所述上报间隔可以根据小区的新旧程度,或者温度达标率来调整。例如,如果由空调大数据获知某小区A的平均室内温度经常低于16℃,那么该小区A可以作为重点调控对象,该小区住户的智能空调可以每间隔半小时向服务器上报一次室内温度数据,服务器可以分析小区A的数据,及时调整供给小区A的水泵流量或水温,或者同时调节供给小区A的水泵流量和水温,并获得及时反馈。
在一种实时方式中,如果一次检测中,一个小区的平均室内温度属于标准温度范围内,那么可以降低该小区住户的智能空调上报数据的频率,例如,一次检测中,根据各个住户的实时室内温度计算所述小区B的平均室内温度为20℃,那么可以间隔2小时后再检测该小区B的平均室内温度,如果还是标准温度,再间隔4小时检测该小区的平均室内温度等,以此类推。在一种实施方式中,可以设定所述检测间隔不超过6小时,防止突发设备故障或供暖事故。
这样有利于区分重点监控小区与标准温度小区,合理规划智能空调上报数据的频率,一定程度上减少数据的存储和处理量,节约能源。
现有空调大数据的数据库中存储了海量的历史数据,在一种实施方式中,可以根据这些历史数据,建立小区平均室内温度与室外温度、水泵流量以及水温的正相关关系。
影响室内温度的因素非常多,虽然现在可以获知在室外温度一定时,平均室内温度与水泵流量以及水温之间的关系是大体正相关的,但是无法定量的得到具体关系。通过大数据统计历史数据中小区平均室内温度、室外温度、水泵流量和水温的值,建立恰当的数学模型,可以实现对平均室内温度的定量分析和调节。
在一种实施方式中,通过决策树算法训练出平均室内温度与室外温度、水泵流量和水温之间的正相关关系。所述供暖***对水泵流量或者水温进行调节的时候,可以根据当前室外温度和所述正相关关系,确定水泵流量和水温中至少一项的调节量。
现有智能空调庞大的用户群已积累了大量的空调数据,在这些数据的基础上建立室内温度与室外温度、水泵流量和水温的正相关关系,定量调节水泵流量和/或水温实现了供暖***的精细化调控,避免了反复微调造成的能源浪费。
在一种实施方式中,小区的室外温度通过以下步骤获得:确定所述小区的地理位置;获取与所述地理位置对应的实时气象数据,所述气象数据中包含的温度信息即为所述室外温度。
利用互联网数据的实时共享,通过云平台获取精确到小区的天气数据能够更可靠、更丰富的数据,避免了布设温度采集模块造成的人力物力浪费。
在另一种实施方式中,可以利用智能空调室外机中的温度传感器感知室外温度,并通过智能空调的无线通信模块上传给服务器。
在一种实施方式中,如果小区水泵流量或水温已经达到门限值,然而小区的平均室内温度依然超出正常范围,则判定异常情况,服务器报警,并提示异常小区的位置。 例如,根据供暖水流量的规定,供暖管路的管径为15mm,流量应小于0.8m/s,管径20mm时流量应小于1.0m/s,管径25mm时流量应小于1.2m/s。当水流量调节已经超出上述门限值,而室内温度依然没有在标准范围内时,则认为小区供暖***出现故障。根据供暖水温的规定:
室外最低温度℃ | 回水温度℃ | 供水温度℃ |
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以下 | 60 | 65~70 |
如果供水温度已经超出上述门限值,然而小区的平均室内温度还是没有在标准范围内,则认为小区供暖***出现故障。
通过对平均室内温度以及水泵流量和供水温度的监测,可以及时发现故障点,便于工作人员及时排查。
以上实施例以小区为整体进行供暖温度调节。在一种实施方式中,具体到小区中的每个住户,在得到小区的平均室内温度之后,还可以计算小区内各个住户的实时室内温度与所述小区的平均室内温度的差值,如果该差值的绝对值大于预设阈值,则对应住户家中可能存在供暖异常。例如:某小区A的平均室内温度为20℃,预设4℃为异常阈值,住户m的室内温度为10℃,与平均室内温度的差值的绝对值为10℃,则认为住户m家中供暖异常,服务器会对异常情况进行提示,并显示住户m的具***置,方便工作人员上门排查异常。
图2给出了空调大数据提供的6个小区的平均室内温度与室外温度的走势曲线。如图2所示,所述曲线图的纵坐标为温度,横坐标为日期,记录了2015年11月13日至2016年3月2日之间,所述6个小区的平均室内温度走势。这6个小区的平均室内温度主要分布在22℃与25℃之间,图2中框线内的两条曲线记录了2015年11月13日至2016年3月2日之间的室外天气的温度变化,其中上方的曲线记录的是当日最高温度,下方的曲线记录的是当日最低温度。根据图2可以看出,各小区的平均室内温度曲线的走势非常接近,通过与室外天气的温度变化对比可以看出,各小区的平均室内温度与室外温度强相关,在没有对供暖进行干预的情况下,室内温度极易受 到室外温度的影响。
由此可知,可以通过室外温度的变化提前预知室内温度的变化。
在另一种实施方式中,如图3所示,供暖调节方法包括以下步骤:
根据空调大数据的数据库,获取小区的平均室内温度与室外温度、水泵流量以及水温的正相关关系;
获取与小区所在地理位置对应的天气预报信息,从所述天气预报信息中确定未来预设时长的室外温度;
根据所述未来预设时长的室外温度以及所述正相关关系,调节水泵流量和水温中的至少一项。
如前所述,所述正相关关系可以通过对空调大数据库中的历史数据建模,建立平均室内温度与室外温度、水泵流量和水温之间的正相关关系。所述供暖***对水泵流量或者水温进行调节的时候,可以根据天气预报预测的未来气温和所述正相关关系,确定水泵流量和/或水温的调节量,从而实现提前调控温度,保持住户家中室内温度恒定,改善用户体验。
根据现在的短时天气预报信息,预报信息显示每三个小时的温度。在一种实施方式中,可以选择三小时为预设时长,预先获取未来三个小时小区所在地区的室外温度,根据所述室外温度和上述正相关关系,可以获取平均室内温度维持恒定时所对应的水泵流量和水温信息,及时调整。
在另一种实施方式中,也可以根据小区所在地区的短期天气预报,以一天为预设时长,获取未来一天小区所在地区的室外温度预测信息。未来一天的最高气温和最低气温的加权平均值,作为室外温度信息,根据上述正相关关系,获取平均室内温度维持恒定时所对应的水泵流量和水温信息,及时调整。采用加权平均值可以根据昼夜时长等调整加权系数,使得所述室外温度的计算更精确反应未来一天的气温情况。
图4是根据一示例性实施例示出的一种供暖调节装置的框图,如图4所示,所述装置包括:计算模块41、判断模块42和调节模块43。
所述计算模块41用于计算小区的平均室内温度,所述小区的平均室内温度指所述小区中各住户的实时室内温度的平均值;
所述判断模块42用于判断所述平均室内温度是否属于标准温度值域;
所述调节模块43用于在所述平均室内温度不属于所述标准温度值域时,调节供给所述小区的水泵流量和/或水温。
该实施例提供的供暖调节装置,通过判断模块确定计算模块计算得到的小区的平均室内温度是否在正常范围内,能够及时发现供暖不达标或严重超标的小区,并通过调节模块进行调控。
如图4所示的装置用于实现上述如图1所示的方法流程,涉及到的相关内容描述相同,此处不赘述。
图5是根据一示例性实施例示出的另一种实现供暖调节装置的框图,如图5所示,在上述图4所示实施例的基础上,该装置还可包括:获取模块40。
所述获取模块40,用于获取智能空调的无线通信模块采集的小区内各个住户的实时室内温度。
所述计算模块41根据所述获取模块获取到的各个住户的实时室内温度计算所述小区的平均室内温度。
图6是根据一示例性实施例示出的另一种实现供暖调节装置的框图,如图6所示,在上述图4所示实施例的基础上,该装置还可包括:建立关系模块44和确定模块45。
其中,建立关系模块44根据数据库中存储的历史数据,建立小区平均室内温度与室外温度、水泵流量以及水温的正相关关系;确定模块45根据当前室外温度和所述建立关系模块建立的正相关关系,确定水泵流量和/或水温的调节量。
所述调节模块43根据所述确定的调节量定量调节水泵流量和/或水温。
定量调节水泵流量和/或水温实现了供暖装置的精细化调控,避免了反复微调造成的能源浪费。
在一种实施方式中,所述数据库可以采用现有的智能空调大数据记录的室外温度和室内温度数据,结合水泵流量统计数据和水温统计数据构成。
在一种实施方式中,上述供暖调节装置可以包括在供暖***的服务器中。所述***中还包括智能空调,所述智能空调具有无线通信模块,例如WiFi模块等,可以将获取的住户室内温度信息发送给所述供暖调节装置。所述***还具有水泵,水泵上安装有流量计和温度传感器,所述供暖调节装置可以通过水泵上的通信模块,例如,WiFi模块等,获取水泵流量和水温。服务器可以根据当前平均室内温度和室外温度数据判断水泵流量和/或水温的调节量。此外,水泵流量、水温、平均室内温度和室外温度的对应关系可以统计到数据库中,便于建模分析这些参数之间的关系。
在一种实施方式中,所述供暖调节装置还包括显示模块,用于显示所述实时室外温度、所述小区平均室内温度、所述水泵流量和所述水温中的一种或多种。
通过显示模块直观显示,可以方便工作人员及时获得小区的主要供暖参数。
在一种实施方式中,当小区的水泵流量和/或水温超出门限值,但小区的平均室内温度还是超出标准温度值域时,则判定小区供暖出现故障,将所述故障信息以及小区位置显示在所述显示模块上,便于工作人员及时排查故障。
在一种实施方式中,当小区的平均温度正常,但是小区内的某住户室内温度与小区的平均室内温度的差值超过一定阈值时,则判定该住户的供暖***存在故障,将所述故障信息以及该住户的位置显示在所述显示模块上,便于工作人员及时排查故障。
以上所提供的供暖调节装置中的各个模块,可以是硬件模块,也可以是软件模块。
本发明提供的供暖调节装置,还可以包括处理器和存储器,其中存储器中存储有可供处理器读取并执行的指令,处理器被配置为执行前文所述方法的各个实施例中的步骤。
本发明提供的供暖调节方法和装置,通过确定当前小区的平均室内温度异常时,调节供给该小区的供暖水泵流量和水温,使小区的温度恢复标准值,其响应速度快,可靠性高,并且提高了用户体验,节约了能源。
应当理解的是,本发明并不局限于上面已经描述并在附图中示出的流程及结构,并且可以在不脱离其范围进行各种修改和改变。本发明的范围仅由所附的权利要求来限制。
Claims (10)
- 一种供暖调节方法,其特征在于,所述方法包括:计算小区的平均室内温度,所述小区的平均室内温度为所述小区中各住户的实时室内温度的平均值;判断所述平均室内温度是否属于标准温度值域;在所述平均室内温度不属于所述标准温度值域时,调节供给所述小区的水泵流量和水温中的至少一项。
- 根据权利要求1所述的方法,其特征在于,所述计算小区的平均室内温度包括:获取智能空调的无线通信模块采集的小区内各个住户的实时室内温度;根据所述各个住户的实时室内温度计算所述小区的平均室内温度。
- 根据权利要求1所述的方法,其特征在于,所述调节供给所述小区的水泵流量和水温中的至少一项包括:根据数据库中存储的历史数据,建立小区平均室内温度与室外温度、水泵流量以及水温的正相关关系;根据当前室外温度和所述正相关关系,确定水泵流量和水温中至少一项的调节量;根据所述确定的调节量定量调节水泵流量和水温中的至少一项。
- 根据权利要求3所述的方法,其特征在于,所述室外温度通过以下步骤获得:确定所述小区的地理位置;获取与所述地理位置对应的气象数据,所述气象数据中包含的温度信息即为所述室外温度。
- 根据权利要求3所述的方法,其特征在于,所述室外温度通过以下步骤获得:确定所述小区的地理位置;获取与小所述地理位置对应的天气预报信息,从所述天气预报信息中确定未来预设时长的室外温度。
- 根据权利要求1所述的方法,其特征在于,所述方法还包括:在所述平均室内温度不属于所述标准温度值域时,判断供给所述小区的水泵流量和水温中的至少一项是否超过对应的预设门限值;当供给所述小区的水泵流量和水温中的至少一项超过对应的预设门限值时,发出告警提示。
- 根据权利要求1所述的方法,其特征在于,所述方法还包括:计算所述小区内各个住户的实时室内温度与所述小区的平均室内温度的差值;在所述差值的绝对值大于或等于预设阈值时,则发出告警提示。
- 一种供暖调节装置,其特征在于,所述装置包括:计算模块,用于计算小区的平均室内温度,所述小区的平均室内温度指所述小区中各住户的实时室内温度的平均值;判断模块,用于判断所述平均室内温度是否属于标准温度值域;调节模块,用于在所述平均室内温度不属于所述标准温度值域时,调节供给所述小区的水泵流量和水温中的至少一项。
- 根据权利要求8所述的供暖调节装置,其特征在于,所述装置还包括:获取模块,用于获取智能空调的无线通信模块采集的小区内各个住户的实时室内温度;所述计算模块用于根据所述获取模块获取到的各个住户的实时室内温度计算所述小区的平均室内温度。
- 根据权利要求8所述的供暖调节装置,其特征在于,所述装置还包括:建立关系模块,用于根据数据库中存储的历史数据,建立小区平均室内温度与室外温度、水泵流量以及水温的正相关关系;确定模块,根据当前室外温度和所述建立关系模块建立的正相关关系,确定水泵流量和水温中至少一项的调节量;所述调节模块用于根据所述确定模块确定的调节量调节水泵流量和水温中的至少一项。
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WO2018192307A9 (zh) | 2018-12-06 |
EP3614055A4 (en) | 2020-02-26 |
EP3614055B1 (en) | 2022-08-10 |
EP3614055A1 (en) | 2020-02-26 |
US20200158350A1 (en) | 2020-05-21 |
US11397010B2 (en) | 2022-07-26 |
CN107166504A (zh) | 2017-09-15 |
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