CN115952695A - Temperature detection data remote interaction method based on heat supply control system - Google Patents

Temperature detection data remote interaction method based on heat supply control system Download PDF

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CN115952695A
CN115952695A CN202310234179.6A CN202310234179A CN115952695A CN 115952695 A CN115952695 A CN 115952695A CN 202310234179 A CN202310234179 A CN 202310234179A CN 115952695 A CN115952695 A CN 115952695A
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heat supply
temperature
preset
daily
value
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CN115952695B (en
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孙继伟
赵颖
郭磊宏
肖木森
刘娇
刘哲先
张冲
刘扬
胡明明
张丁戈
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Tianjin Jin'an Thermal Power Co ltd
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Tianjin Jin'an Thermal Power Co ltd
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Abstract

The invention relates to the field of data processing, in particular to a temperature detection data remote interaction method based on a heat supply control system, which comprises the following steps: collecting a plurality of daily indoor actual temperatures of heat supply detection equipment; judging whether the daily indoor actual temperature is abnormal or not, and judging whether the actual heat supply information reaches the standard or not according to the heat supply index when the daily indoor actual temperature is judged to be abnormal; determining a correction coefficient for correcting a preset standard heat supply value according to the cell basic information to obtain a standard heat supply value so as to calculate the standard heat supply value, and determining a daily heat supply value according to the air temperature; judging whether the daily indoor actual temperature and the daily air temperature of each user which do not meet the heat demand meet a preset indoor and outdoor temperature difference standard or not according to the daily air temperature when judging that the daily heat demand does not meet the heat demand, and judging whether the daily heat supply value is normal or not; and adjusting the adjustment coefficient of the daily heat supply value to obtain the target daily heat supply value. The invention realizes the accurate control of the heat supply value.

Description

Temperature detection data remote interaction method based on heat supply control system
Technical Field
The invention relates to the field of data processing, in particular to a temperature detection data remote interaction method based on a heat supply control system.
Background
The intelligent heating management control platform adopts advanced technologies such as Internet of things, cloud computing, mobile interconnection and big data, establishes the intelligent heating management control platform with the accurate control of room temperature as the target, realizes the overall target of heat supply and accurate heat supply as required, and dynamically masters the daily actual temperature change of the user in the room.
Chinese patent application publication No.: the patent of CN112347648A discloses a comprehensive analysis algorithm for heating load temperature anomaly, which comprises a first step of periodically acquiring the temperature of a designated room in each area of any same floor; step two, periodically calculating the real-time temperature of the room on the same floor; and step three, acquiring the maximum heat supply standard temperature and the minimum heat supply standard temperature, and judging whether the room temperature is too cold or too hot or normal by analyzing and comparing the maximum heat supply standard temperature and the minimum heat supply standard temperature with the real-time temperature.
In the prior art, the real-time temperature in a room is monitored, the abnormity of the room temperature is judged according to the heat supply standard temperature analysis, and the heat supply data analysis is not comprehensive due to the fact that only the temperature data is analyzed, so that the accurate control of a heat supply value cannot be realized.
Disclosure of Invention
Therefore, the invention provides a temperature detection data remote interaction method based on a heat supply control system, which can solve the problem that the accurate control of a heat supply value cannot be realized.
In order to achieve the above object, the present invention provides a method for remotely interacting temperature detection data based on a heating control system, which comprises:
collecting a plurality of daily indoor actual temperatures of heat supply detection equipment;
comparing the daily indoor actual temperature with a standard heat supply value to judge whether the daily indoor actual temperature is abnormal or not, acquiring actual heat supply information of a heat supply station when the daily indoor actual temperature is judged to be abnormal, and judging whether the actual heat supply information reaches the standard or not according to heat supply indexes to perform early warning;
acquiring basic information of a cell, determining a correction coefficient for correcting a preset standard heat supply value according to the basic information of the cell to obtain a standard heat supply value, and determining a daily heat supply value in the current day according to the air temperature;
the method comprises the steps of obtaining the heat demand of a user, comparing the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand, judging whether the temperature difference between the daily indoor actual temperature of each user which does not meet the heat demand and the daily air temperature of each user meets a preset indoor and outdoor temperature difference standard according to the daily air temperature when the daily indoor actual temperature does not meet the heat demand, and determining whether the daily heat supply value is normal according to the judgment result of the temperature difference;
and counting the number of users judged to have abnormal heat supply value in the current day, comparing the number of users with the preset number of users judged to have abnormal heat supply value in the current day, and determining an adjusting coefficient for adjusting the heat supply value in the current day according to a comparison result to obtain a target heat supply value in the current day.
Further, three temperature judgment modes for comparing the daily indoor actual temperature with a standard heat supply value to judge whether the daily indoor actual temperature is abnormal or not are provided, wherein,
the first type of temperature judgment mode is that the daily indoor actual temperature is judged to be abnormal under the condition of a first preset daily indoor actual temperature;
the second type of temperature judgment mode is that the daily indoor actual temperature is judged to be normal under the second preset daily indoor actual temperature condition;
the third type of temperature judgment mode is that the daily indoor actual temperature is judged to be abnormal under the condition of a third preset daily indoor actual temperature;
the first preset daily indoor actual temperature condition is that the daily indoor actual temperature is greater than a second standard heat supply value, the second preset daily indoor actual temperature condition is that the daily indoor actual temperature is greater than or equal to a first standard heat supply value and less than or equal to a second standard heat supply value, the third preset daily indoor actual temperature condition is that the daily indoor actual temperature is less than the first standard heat supply value, and the first standard heat supply value is less than the second standard heat supply value.
Further, the actual heat supply information of the heat supply station is obtained when the daily indoor actual temperature is judged to be abnormal, and whether the actual heat supply information reaches the standard or not is judged according to the heat supply index so as to carry out early warning comprises the following steps:
when the daily indoor actual temperature is judged to be abnormal, judging whether the actual heat supply information reaches the standard or not according to the heat supply index;
and early warning is carried out according to a judgment result of whether the actual heat supply information reaches the standard, if the actual heat supply information is judged not to reach the standard, abnormal information is sent to a heat exchange station terminal, the abnormal information comprises abnormal heat supply index information and a corresponding abnormal heat supply index difference value, and the abnormal heat supply index difference value is the difference value between the actual heat supply information and a second heat supply index.
Further, when the daily indoor actual temperature is judged to be abnormal, judging whether the actual heat supply information reaches the standard according to the heat supply index, comparing the actual heat supply information with the heat supply index to judge whether the actual heat supply information reaches the standard,
the first type of heat supply information judgment mode is that the actual heat supply information is judged to be not up to the standard under the condition of first preset heat supply information;
the second type of heat supply information judgment mode is that the actual heat supply information is judged to reach the standard under the second preset heat supply information condition;
the third type of heat supply information judgment mode is that the actual heat supply information is judged to be not up to the standard under the third preset heat supply information condition;
the first preset heat supply information condition is that the actual heat supply information is larger than a second heat supply index, the second preset heat supply information condition is that the actual heat supply information is larger than or equal to the first heat supply index and smaller than or equal to the second heat supply index, the third preset heat supply information condition is that the actual heat supply information is smaller than the first heat supply index, and the first heat supply index is smaller than the second heat supply index.
Further, acquiring cell basic information to obtain the standard heating value, wherein the cell basic information comprises a built-up age and a heating rate, determining four correction modes for correcting a correction coefficient of a preset standard heating value according to the built-up age and the heating rate to obtain the standard heating value, wherein,
the first type of correction mode is that a first correction coefficient is selected to correct the preset standard heat supply value under a first preset correction condition for the construction life and the heat supply rate;
the second type of correction mode is that the construction life and the heating rate do not correct the preset standard heating value under the second preset correction condition;
the third type of correction mode is that the construction life and the heating rate select a second correction coefficient under a third preset correction condition to correct the preset standard heating value;
the fourth type of correction mode is that the construction life and the heating rate do not correct the preset standard heating value under the fourth preset correction condition;
the first preset correction condition is that the construction age is greater than a preset construction age and the heating rate is less than a preset heating rate, the second preset correction condition is that the construction age is greater than the preset construction age and the heating rate is greater than the preset heating rate, the third preset correction condition is that the construction age is less than the preset construction age and the heating rate is less than the preset heating rate, the fourth preset correction condition is that the construction age is less than the preset construction age and the heating rate is greater than the preset heating rate, the first correction coefficient is less than 1.2, the second correction coefficient is greater than 1, and the first correction coefficient is less than the second correction coefficient.
Further, according to the air temperature, determining the daily heating value of the day, calculating the difference between the daily air temperature and the standard air temperature, if the difference is greater than 0 and the difference is greater than the preset air temperature difference, selecting the standard heating value to lower the standard heating value by the coefficient of lowering the standard heating value to obtain the daily heating value, and if the difference is less than 0 and the absolute value of the difference is greater than the preset air temperature difference, selecting the standard heating value to raise the standard heating value by the coefficient of raising the standard heating value to obtain the daily heating value, wherein the coefficient of lowering the standard heating value is greater than 0 and less than 1, and the coefficient of raising the standard heating value is greater than 1 and less than 1.1.
Further, two types of demand judgment modes are provided for acquiring the heat demand of the user, comparing the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand, wherein,
the first requirement judging mode is that the daily indoor actual temperature is judged to be not in accordance with the heat demand under the first preset heat demand condition;
the second requirement judging mode is that the daily indoor actual temperature meets the heat demand under the second preset heat demand condition;
the first preset heat demand condition is that the difference value between the daily indoor actual temperature and the heat demand is larger than a preset difference value, the second preset heat demand condition is that the difference value between the daily indoor actual temperature and the heat demand is smaller than a preset difference value, and the difference value is the absolute value of the difference value between the daily indoor actual temperature and the heat demand.
Further, when the daily indoor actual temperature is judged to be not in accordance with the heat demand, dividing the daily indoor actual temperature which is not in accordance with the heat demand into a first demand non-compliant group and a second demand non-compliant group, acquiring a current day air temperature corresponding to the heat demand which is not in accordance with, respectively judging whether the temperature difference between the daily indoor actual temperature and the current day air temperature of each user in the first demand non-compliant group and the second demand non-compliant group is in accordance with a preset indoor and outdoor temperature difference standard according to the current day air temperature, wherein,
the first demand non-compliance group is that the daily indoor actual temperature is greater than the heat demand, the difference value between the daily indoor actual temperature and the daily air temperature is calculated to be a first temperature difference and is compared with the preset indoor and outdoor temperature difference, if the first temperature difference is greater than the preset indoor and outdoor temperature difference, the first temperature difference is judged to be non-compliance with the preset indoor and outdoor temperature difference standard, the daily heat supply value is determined to be abnormal, if the first temperature difference is less than the preset indoor and outdoor temperature difference, the first temperature difference is judged to be compliance with the preset indoor and outdoor temperature difference standard, and the daily heat supply value is determined to be normal;
the second demand is not conform to the group and does every day indoor actual temperature is less than with the heat demand, calculate every day indoor actual temperature with the difference of temperature in the same day is the second difference in temperature, and with predetermine indoor outer difference in temperature and contrast, if the second difference in temperature is greater than predetermines indoor outer difference in temperature, then judges that the second difference in temperature is not conform to predetermine indoor outer difference in temperature standard, and confirms that the heat supply value in the same day is unusual, if the second difference in temperature is less than predetermines indoor outer difference in temperature, then judges that the second difference in temperature accords with predetermines indoor outer difference in temperature standard, and confirms that the heat supply value in the same day is normal.
Further, the number of users judged to have abnormal daily heat supply values is counted, the number of users judged to have abnormal daily heat supply values is compared with the number of users preset to be judged to have abnormal daily heat supply values, three types of determining modes for adjusting the adjusting coefficient of the daily heat supply values are determined according to the comparison result, wherein,
the first type of determining mode is that the abnormal judgment user number determines to select a first adjusting coefficient to adjust the daily heat supply value under the condition of a first preset abnormal judgment user number;
the second type of determination mode is that the number of the users with abnormal judgment determines to select a second regulating coefficient to regulate the heat supply value in the day under the condition of a second preset number of users with abnormal judgment;
the third type of determination mode is that the number of the abnormal users is judged without adjusting the heat supply value in the same day under the condition of a third preset number of the abnormal users;
the first preset abnormal judgment user number condition is that the abnormal judgment user number is larger than a second preset abnormal judgment user number, the second preset abnormal judgment user number condition is that the abnormal judgment user number is larger than or equal to the first preset abnormal judgment user number and smaller than or equal to the second preset abnormal judgment user number, and the third preset abnormal judgment user number condition is that the abnormal judgment user number is smaller than the first preset abnormal judgment user number.
Further, when the adjustment of the daily heat supply value is determined, according to the daily indoor actual temperature and the heat demand of the abnormal user, selecting an up-regulation coefficient or a down-regulation coefficient from the first regulation coefficient or the second regulation coefficient to adjust the daily heat supply value to a target daily heat supply value,
if the daily indoor actual temperature is larger than the heat demand, selecting a reduction coefficient from the first regulation coefficient or the second regulation coefficient to increase the daily heat supply value;
if the daily indoor actual temperature is lower than the heat demand, selecting an increasing coefficient from the first adjusting coefficient or the second adjusting coefficient to decrease the daily heat supply value;
wherein the turn-up coefficient is greater than 1 and less than 1.1, and the turn-down coefficient is greater than 0 and less than 0.9.
Compared with the prior art, the method has the advantages that whether the indoor temperature reaches the standard heating temperature or not is monitored, parameters of heating equipment of the heat exchange station are analyzed when the indoor temperature is abnormal, and abnormal conditions are found to be maintained; the correction coefficient for correcting the preset standard heat supply value is determined according to the cell basic information to obtain the standard heat supply value, so that the standard heat supply value is adjusted according to different cell construction conditions and different temperatures, and the user requirements are met; judging whether the daily indoor actual temperature meets the shared heat demand or not, realizing the judgment of the heat demands of different users, judging whether the daily indoor actual temperature of the user does not meet the shared heat demand or not due to the current temperature when judging that the daily indoor actual temperature does not meet the shared heat demand, and judging whether the daily heat supply value does not meet the shared heat demand or not due to too much adjustment caused by the temperature condition adjustment; the adjustment coefficient for adjusting the daily heat supply value is determined according to the comparison result of the number of the users and the preset number of the abnormal users, the daily heat supply value under the daily air temperature is adjusted in time when the number of the users with the abnormal daily heat supply value is too large, and the abnormality is detected in time by monitoring the indoor temperature of each household in real time, so that the accurate control of the heat supply values of different users in different communities is realized, and the heat consumption requirements of the users are met.
Especially, whether the daily indoor actual temperature is abnormal is judged by comparing the acquired daily indoor actual temperature with a standard heating value, whether the indoor temperature reaches the standard heating temperature is monitored, and then the actual heating information of the heating station is acquired when the daily indoor actual temperature is judged to be abnormal, and abnormal conditions are found in time for maintenance treatment, so that the heat demand of a user is met.
Particularly, the actual heat supply information of the heat supply station is obtained when the daily indoor actual temperature is judged to be abnormal, whether the actual heat supply information reaches the standard is judged according to the heat supply index, the analysis of the parameters of the heat supply equipment of the heat exchange station when the indoor temperature is abnormal is realized, and the abnormal condition is found in time to carry out maintenance treatment.
Especially, the correction coefficient of the preset standard heat supply value is determined and corrected according to the cell basic information to obtain the standard heat supply value, so that the standard heat supply value is adjusted according to the construction conditions of different cells, the user requirements are met, the accurate control of the heat supply values of different users in different cells is realized, and the heat consumption requirements of the users are met.
Particularly, the daily indoor actual temperature of the user is compared with the heat demand to judge whether the daily indoor actual temperature meets the heat demand, so that the judgment on the heat demand of different users is realized, further, whether the daily indoor actual temperature does not meet the heat demand due to too much adjustment caused by temperature condition adjustment is judged, the heat supply value is accurately corrected, and the heat demand of the user is met.
Especially, the number of users judged to have abnormal daily heat supply values is counted, the number of the users is compared with the number of the users judged to have abnormal daily heat supply values in advance, the adjusting coefficient for adjusting the daily heat supply values is determined according to the comparison result, the daily heat supply values under the daily air temperature are adjusted in time when the number of the users with abnormal daily heat supply values is too large, the indoor temperature of each household is monitored in real time, abnormality is detected in time, accurate control over the heat supply values of different users in different communities is achieved, and the heat utilization requirements of the users are met.
Drawings
Fig. 1 is a schematic flow chart of a method for remotely interacting temperature detection data based on a heating control system according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another method for remotely interacting temperature detection data based on a heating control system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a temperature detection data remote interaction system based on a heating control system according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a method for remotely interacting temperature detection data based on a heating control system according to an embodiment of the present invention includes:
step S110, collecting a plurality of daily indoor actual temperatures of heat supply detection equipment;
step S120, comparing the daily indoor actual temperature with a standard heat supply value to judge whether the daily indoor actual temperature is abnormal, acquiring actual heat supply information of a heat supply station when the daily indoor actual temperature is judged to be abnormal, and judging whether the actual heat supply information reaches the standard according to heat supply indexes to perform early warning;
step S130, acquiring basic information of a cell, determining a correction coefficient for correcting a preset standard heat supply value according to the basic information of the cell to obtain a standard heat supply value, and determining a daily heat supply value according to the air temperature;
step S140, acquiring the heat demand of the user, comparing the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand, judging whether the temperature difference between the daily indoor actual temperature and the daily air temperature of each user which does not meet the heat demand meets a preset indoor and outdoor temperature difference standard according to the daily air temperature when judging that the daily indoor actual temperature does not meet the heat demand, and determining whether the daily heat supply value is normal according to the judgment result of the temperature difference;
step S150, counting the number of users judged to have abnormal heat supply value in the current day, comparing the number of users with the number of users judged to be abnormal in the preset time, and determining an adjusting coefficient for adjusting the heat supply value in the current day according to the comparison result to obtain the target heat supply value in the current day.
Specifically, the daily indoor actual temperature data acquisition cycle is 11 months per year to 4 months per year, the acquisition frequency is 30 minutes per pen, and the user information is imported manually.
Specifically, the embodiment of the invention compares the collected daily indoor actual temperature with the standard heat supply value to judge whether the daily indoor actual temperature is abnormal, so as to monitor whether the indoor temperature reaches the standard heat supply temperature; the method comprises the steps of acquiring actual heat supply information of a heat supply station when daily indoor actual temperature is judged to be abnormal, judging whether the actual heat supply information reaches the standard or not according to heat supply indexes, analyzing parameters of heat supply equipment of the heat exchange station when the indoor temperature is abnormal, and performing maintenance treatment when the indoor temperature is abnormal; determining a correction coefficient for correcting the preset standard heat supply value according to the cell basic information to obtain a standard heat supply value, and determining a daily heat supply value according to the air temperature, so that the standard heat supply value is adjusted according to different cell construction conditions and different air temperatures to meet the user requirements; comparing the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand for use, so as to judge the heat demand of different users, judging whether the daily indoor actual temperature of the user does not meet the heat demand for use due to the current temperature when judging that the daily indoor actual temperature does not meet the heat demand for use, and judging whether the daily heat supply value is adjusted too much due to the adjustment of the temperature condition so as to cause that the daily indoor actual temperature does not meet the heat demand for use; the number of the users judged to be abnormal in the heat supply value of the day is counted, the number of the users is compared with the number of the users judged to be abnormal in preset, the adjustment coefficient of the heat supply value of the day is determined and adjusted according to the comparison result, the heat supply value of the day under the temperature of the day is adjusted in time when the number of the users abnormal in the heat supply value of the day is too many, the indoor temperature of each household is monitored in real time, abnormality is detected in time, accurate control over the heat supply values of different users in different communities is achieved, and the heat consumption requirements of the users are met.
Specifically, the daily indoor actual temperature is compared with a standard heat supply value to judge whether the daily indoor actual temperature is abnormal or not,
the first type of temperature judgment mode is that the daily indoor actual temperature is judged to be abnormal under the condition of a first preset daily indoor actual temperature;
the second type of temperature judgment mode is that the daily indoor actual temperature is judged to be normal under the second preset daily indoor actual temperature condition;
the third type of temperature judgment mode is that the daily indoor actual temperature is judged to be abnormal under the condition of a third preset daily indoor actual temperature;
the first preset daily indoor actual temperature condition is that the daily indoor actual temperature is greater than a second standard heat supply value, the second preset daily indoor actual temperature condition is that the daily indoor actual temperature is greater than or equal to a first standard heat supply value and less than or equal to a second standard heat supply value, the third preset daily indoor actual temperature condition is that the daily indoor actual temperature is less than the first standard heat supply value, and the first standard heat supply value is less than the second standard heat supply value.
Specifically, the embodiment of the invention compares the acquired daily indoor actual temperature with the standard heat supply value to judge whether the daily indoor actual temperature is abnormal or not, so as to monitor whether the indoor temperature reaches the standard heat supply temperature or not, further acquire the actual heat supply information of the heat supply station when the daily indoor actual temperature is judged to be abnormal, timely find the abnormality and carry out maintenance treatment, and meet the heat consumption requirements of users.
Referring to fig. 2, acquiring actual heat supply information of a heat supply station when determining that the daily indoor actual temperature is abnormal, and determining whether the actual heat supply information reaches the standard according to a heat supply index to perform early warning includes:
step S121, judging whether the actual heat supply information reaches the standard or not according to the heat supply index when the daily indoor actual temperature is judged to be abnormal;
and S122, early warning is carried out according to a judgment result of whether the actual heat supply information reaches the standard, and if the actual heat supply information is judged not to reach the standard, abnormal information is sent to a heat exchange station terminal, wherein the abnormal information comprises abnormal heat supply index information and a corresponding abnormal heat supply index difference value, and the abnormal heat supply index difference value is the difference value between the actual heat supply information and a second heat supply index.
Specifically, when the daily indoor actual temperature is judged to be abnormal, the method judges whether the actual heat supply information reaches the standard according to the heat supply index, compares the actual heat supply information with the heat supply index to judge whether the actual heat supply information reaches the standard,
the first type of heat supply information judgment mode is that the actual heat supply information is judged to be not up to the standard under the condition of first preset heat supply information;
the second type of heat supply information judgment mode is that the actual heat supply information is judged to reach the standard under the second preset heat supply information condition;
the third type of heat supply information judgment mode is that the actual heat supply information is judged to be not up to the standard under the third preset heat supply information condition;
the first preset heat supply information condition is that the actual heat supply information is larger than a second heat supply index, the second preset heat supply information condition is that the actual heat supply information is larger than or equal to the first heat supply index and smaller than or equal to the second heat supply index, the third preset heat supply information condition is that the actual heat supply information is smaller than the first heat supply index, and the first heat supply index is smaller than the second heat supply index.
Specifically, the actual heat supply information includes an actual water supply temperature, an actual water return temperature, an actual water supply pressure, an actual water supply flow and an actual heat consumption, the first heat supply index includes a first water supply temperature index, a first water return temperature index, a first water supply pressure index, a first water supply flow index and a first heat consumption index, and the second heat supply index includes a second water supply temperature index, a second water return temperature index, a second water supply pressure index, a second water supply flow index and a second heat consumption index.
Specifically, the embodiment of the invention acquires the actual heat supply information of the heat supply station when the daily indoor actual temperature is judged to be abnormal, and judges whether the actual heat supply information reaches the standard or not according to the heat supply index, so that the analysis of the parameters of the heat supply equipment of the heat exchange station when the indoor temperature is abnormal is realized, and the maintenance treatment is carried out when the abnormality is found.
Specifically, cell basic information is acquired to obtain the standard heating value, the cell basic information comprises a built-in age and a heating rate, a correction coefficient for correcting a preset standard heating value is determined according to the built-in age and the heating rate to obtain four types of correction modes of the standard heating value, wherein,
the first type of correction mode is that the construction life and the heating rate select a first correction coefficient under a first preset correction condition to correct the preset standard heating value;
the second type of correction mode is that the construction life and the heating rate do not correct the preset standard heating value under the second preset correction condition;
the third type of correction mode is that the construction life and the heating rate select a second correction coefficient under a third preset correction condition to correct the preset standard heating value;
the fourth type of correction mode is that the construction life and the heating rate do not correct the preset standard heating value under the fourth preset correction condition;
the first preset correction condition is that the construction age is greater than a preset construction age and the heating rate is less than a preset heating rate, the second preset correction condition is that the construction age is greater than the preset construction age and the heating rate is greater than the preset heating rate, the third preset correction condition is that the construction age is less than the preset construction age and the heating rate is less than the preset heating rate, the fourth preset correction condition is that the construction age is less than the preset construction age and the heating rate is greater than the preset heating rate, the first correction coefficient is less than 1.2, the second correction coefficient is greater than 1, and the first correction coefficient is less than the second correction coefficient.
Specifically, the preset standard heat supply value is a set value of a unified heat supply value of all the communities, and the standard heat supply value is a specific heat supply temperature of each community.
Specifically, the embodiment of the invention determines the correction coefficient for correcting the preset standard heat supply value according to the cell basic information to obtain the standard heat supply value so as to calculate the standard heat supply value, so that the standard heat supply value is adjusted according to the construction conditions of different cells to meet the user requirements, the accurate control of the heat supply values of different users in different cells is realized, and the heat utilization requirements of the users are met.
Specifically, a daily heating value is determined according to the air temperature, the difference value between the daily air temperature and the standard air temperature is calculated, if the difference value is larger than 0 and the difference value is larger than the preset air temperature difference value, the standard heating value is selected to lower the standard heating value by the coefficient of lowering so as to obtain the daily heating value, and if the difference value is smaller than 0 and the absolute value of the difference value is larger than the preset air temperature difference value, the standard heating value is selected to raise the standard heating value by the coefficient of raising so as to obtain the daily heating value, wherein the coefficient of lowering the standard heating value is larger than 0 and smaller than 1, and the coefficient of raising is larger than 1 and smaller than 1.1.
Specifically, each cell has a corresponding specific heat supply value, but the standard heat supply value is the standard heat supply value at a specific air temperature, so the daily heat supply value of each cell needs to be continuously adjusted according to the change of the daily air temperature.
Specifically, the embodiment of the invention determines the daily heating value according to the air temperature, so that the standard heating value is adjusted for different cells and different air temperatures, the user requirements are met, the accurate control of the heating values of different users in different cells is realized, and the heat utilization requirements of the users are met.
Specifically, two types of demand determination methods are used, in which the user's heat demand is acquired, the user's daily indoor actual temperature is compared with the heat demand to determine whether the daily indoor actual temperature meets the heat demand,
the first requirement judging mode is that the daily indoor actual temperature is judged to be not in accordance with the heat demand under the first preset heat demand condition;
the second requirement judging mode is that the daily indoor actual temperature meets the heat demand under the second preset heat demand condition;
the first preset heat demand condition is that the difference value between the daily indoor actual temperature and the heat demand is greater than a preset difference value, the second preset heat demand condition is that the difference value between the daily indoor actual temperature and the heat demand is less than a preset difference value, and the difference value is the absolute value of the difference value between the daily indoor actual temperature and the heat demand.
Specifically, the heat demand is the temperature of the actual demand uploaded by the user according to the fact that whether the user meets the own demand or not is judged by the user according to the historical indoor temperature; the preset time is set according to days; the collection time of the daily indoor actual temperature is 24 hours, and the temperature of the day is the lowest temperature of the day.
Specifically, the embodiment of the invention compares the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand for sharing, so as to judge the heat demand of different users, further judge whether the daily indoor actual temperature does not meet the heat demand for sharing due to too much adjustment caused by temperature condition adjustment, accurately correct the heat supply value, and meet the heat demand of the user.
Specifically, when the daily indoor actual temperature is judged to be not in accordance with the heat demand, dividing the daily indoor actual temperature which is not in accordance with the heat demand into a first demand nonconforming group and a second demand nonconforming group, acquiring a current day air temperature corresponding to the heat demand which is not in accordance with the heat demand, respectively judging whether the temperature difference between the daily indoor actual temperature and the current day air temperature of each user in the first demand nonconforming group and the second demand nonconforming group is in accordance with a preset indoor and outdoor temperature difference standard or not according to the current day air temperature, wherein,
the first demand non-compliance group is that the daily indoor actual temperature is greater than the heat demand, the difference value between the daily indoor actual temperature and the daily air temperature is calculated to be a first temperature difference and is compared with the preset indoor and outdoor temperature difference, if the first temperature difference is greater than the preset indoor and outdoor temperature difference, the first temperature difference is judged to be non-compliance with the preset indoor and outdoor temperature difference standard, the daily heat supply value is determined to be abnormal, if the first temperature difference is less than the preset indoor and outdoor temperature difference, the first temperature difference is judged to be compliance with the preset indoor and outdoor temperature difference standard, and the daily heat supply value is determined to be normal;
the second demand is not conform to the group and does every day indoor actual temperature is less than with the heat demand, calculate every day indoor actual temperature with the difference of temperature in the same day is the second difference in temperature, and with predetermine indoor outer difference in temperature and contrast, if the second difference in temperature is greater than predetermines indoor outer difference in temperature, then judges that the second difference in temperature is not conform to predetermine indoor outer difference in temperature standard, and confirms that the heat supply value in the same day is unusual, if the second difference in temperature is less than predetermines indoor outer difference in temperature, then judges that the second difference in temperature accords with predetermines indoor outer difference in temperature standard, and confirms that the heat supply value in the same day is normal.
Specifically, when the daily indoor actual temperature > the heat demand, the first temperature difference Δ T1 > [ Δ T0 ] indicates that the heat supply station is turned up to increase the heat supply value due to outdoor cooling, but the indoor temperature is too high compared with the heat demand of the user due to too much turning up, and therefore it is determined that the heat supply value is abnormal in the day; the first temperature difference delta T1 is less than delta T0, which indicates that the heat supply value of the heat supply station is increased due to outdoor cold, and the increased heat supply value is normal, so that the heat supply value in the current day is determined to be normal;
when the daily indoor actual temperature is less than the heat demand, the second temperature difference delta T2 is greater than delta T0, which indicates that the heat supply station is turned down due to outdoor temperature rise, but the indoor temperature is lower than the heat demand of the user due to too much turning down, so that the heat supply value in the day is judged to be abnormal; and the second temperature difference delta T2 is less than delta T0, which indicates that the heat supply value of the heat supply station is reduced due to outdoor temperature rise, and the reduced heat supply value is normal, so that the heat supply value in the current day is determined to be normal.
Specifically, when the daily indoor actual temperature is judged to be not in accordance with the shared heat demand, whether the daily indoor actual temperature of the user is in accordance with the shared heat demand or not is judged, and whether the daily heat supply value is adjusted too much due to temperature condition adjustment to cause the daily indoor actual temperature to be in accordance with the shared heat demand or not is judged, so that accurate control over the heat supply values of different users in different cells is achieved, and the heat consumption demand of the user is met.
Specifically, the number of users judged to have abnormal daily heat supply values is counted, the number of users judged to have abnormal daily heat supply values is compared with the number of users preset to be judged to have abnormal daily heat supply values, three types of determination modes for adjusting the adjustment coefficient of the daily heat supply values are determined according to the comparison result, wherein,
the first type of determining mode is that the abnormal judgment user number determines to select a first adjusting coefficient to adjust the heat supply value in the day under the condition of a first preset abnormal judgment user number;
the second type of determination mode is that the number of the users with abnormal judgment determines to select a second regulating coefficient to regulate the heat supply value in the day under the condition of a second preset number of users with abnormal judgment;
the third type of determination mode is that the number of the abnormal users is judged without adjusting the heat supply value in the same day under the condition of a third preset number of the abnormal users;
the first preset abnormal judgment user number condition is that the abnormal judgment user number is larger than a second preset abnormal judgment user number, the second preset abnormal judgment user number condition is that the abnormal judgment user number is larger than or equal to the first preset abnormal judgment user number and smaller than or equal to the second preset abnormal judgment user number, and the third preset abnormal judgment user number condition is that the abnormal judgment user number is smaller than the first preset abnormal judgment user number.
Specifically, the embodiment of the invention counts the number of users judged to have abnormal daily heat supply values, compares the number of the users with the number of preset abnormal daily heat supply users, determines the regulating coefficient for regulating the daily heat supply values according to the comparison result, timely adjusts the daily heat supply values at the daily air temperature when too many users with abnormal daily heat supply values exist, and timely detects the abnormality by monitoring the indoor temperature of each user in real time, thereby realizing accurate control of the heat supply values of different users in different communities and meeting the heat utilization requirements of the users.
Specifically, when the adjustment of the daily heat supply value is determined, according to the daily indoor actual temperature and the heat demand of the abnormal user, an increasing coefficient or a decreasing coefficient in the first adjusting coefficient or the second adjusting coefficient is selected to adjust the daily heat supply value to a target daily heat supply value, wherein,
if the daily indoor actual temperature is larger than the heat demand, selecting a reduction coefficient from the first regulation coefficient or the second regulation coefficient to increase the daily heat supply value;
if the daily indoor actual temperature is lower than the heat demand, selecting an increasing coefficient of the first adjusting coefficient or the second adjusting coefficient to decrease the daily heat supply value;
wherein the turn-up coefficient is greater than 1 and less than 1.1, and the turn-down coefficient is greater than 0 and less than 0.9.
Specifically, according to the embodiment of the invention, the adjustment coefficient for adjusting the heat supply value of the day is determined according to the comparison result, the heat supply value of the day at the temperature of the day is adjusted in time when the number of users with abnormal heat supply value of the day is too large, and the abnormality is detected in time by monitoring the indoor temperature of each household in real time, so that the accurate control of the heat supply values of different users in different communities is realized, and the heat utilization requirements of the users are met.
Referring to fig. 3, an embodiment of the present invention further provides a system for remotely interacting temperature detection data based on a heating control system, where the system includes:
the acquisition module 210 is used for acquiring a plurality of daily indoor actual temperatures of the heat supply detection equipment;
an abnormality judgment module 220, connected to the acquisition module, for comparing the daily indoor actual temperature with a standard heat supply value to judge whether the daily indoor actual temperature is abnormal, and acquiring actual heat supply information of the heat supply station when the daily indoor actual temperature is judged to be abnormal, judging whether the actual heat supply information reaches the standard according to the heat supply index, and generating abnormal information to send to the heat exchange station terminal and the inspector terminal when the actual heat supply information does not reach the standard;
a confirming module 230, connected to the abnormality determining module, for obtaining the basic information of the cell, determining a correction coefficient for correcting a preset standard heat supply value according to the basic information of the cell to obtain a standard heat supply value, and determining a daily heat supply value according to the air temperature;
a requirement judging module 240, connected to the confirming module, for obtaining a heat demand of a user, comparing the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand, judging whether the temperature difference between the daily indoor actual temperature of each user not meeting the heat demand and the daily indoor temperature meets a preset indoor and outdoor temperature difference standard according to the daily temperature when judging that the daily indoor actual temperature does not meet the heat demand, and determining whether the daily heat supply value is normal according to a judgment result of the temperature difference;
and the adjusting module 250 is connected with the demand judging module and used for counting the number of users judged to have abnormal heat supply value in the current day, comparing the number of the users with the preset number of users judged to have abnormal heat supply value in the current day, and determining and adjusting an adjusting coefficient of the heat supply value in the current day according to a comparison result to obtain a target heat supply value in the current day.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A temperature detection data remote interaction method based on a heating control system is characterized by comprising the following steps:
collecting a plurality of daily indoor actual temperatures of heat supply detection equipment;
comparing the daily indoor actual temperature with a standard heat supply value to judge whether the daily indoor actual temperature is abnormal or not, acquiring actual heat supply information of a heat supply station when the daily indoor actual temperature is judged to be abnormal, and judging whether the actual heat supply information reaches the standard or not according to heat supply indexes to perform early warning;
acquiring basic cell information, determining a correction coefficient for correcting a preset standard heat supply value according to the basic cell information to obtain a standard heat supply value, and determining a daily heat supply value according to air temperature;
the method comprises the steps of obtaining the heat demand of a user, comparing the daily indoor actual temperature of the user with the heat demand to judge whether the daily indoor actual temperature meets the heat demand, judging whether the temperature difference between the daily indoor actual temperature of each user which does not meet the heat demand and the daily air temperature meets a preset indoor and outdoor temperature difference standard according to the daily air temperature when the daily indoor actual temperature does not meet the heat demand, and determining whether the daily heat supply value is normal according to the judgment result of the temperature difference;
and counting the number of users with abnormal heat supply value in the day, comparing the number of users with abnormal preset judgment, and determining an adjusting coefficient for adjusting the heat supply value in the day according to a comparison result to obtain a target heat supply value in the day.
2. A heating control system based remote interaction method for temperature detection data according to claim 1, characterized by three types of temperature determination methods for comparing the daily indoor actual temperature with a standard heating value to determine whether the daily indoor actual temperature is abnormal or not, wherein,
the first type of temperature judgment mode is that the daily indoor actual temperature is judged to be abnormal under the condition of a first preset daily indoor actual temperature;
the second type of temperature judgment mode is that the daily indoor actual temperature is judged to be normal under the second preset daily indoor actual temperature condition;
the third type of temperature judgment mode is that the daily indoor actual temperature is judged to be abnormal under the condition of a third preset daily indoor actual temperature;
the first preset daily indoor actual temperature condition is that the daily indoor actual temperature is greater than a second standard heat supply value, the second preset daily indoor actual temperature condition is that the daily indoor actual temperature is greater than or equal to a first standard heat supply value and less than or equal to a second standard heat supply value, the third preset daily indoor actual temperature condition is that the daily indoor actual temperature is less than the first standard heat supply value, and the first standard heat supply value is less than the second standard heat supply value.
3. The heating control system-based temperature detection data remote interaction method according to claim 2, wherein the step of obtaining actual heating information of the heating station when the daily indoor actual temperature is judged to be abnormal, and the step of judging whether the actual heating information reaches the standard according to the heating index to perform early warning comprises the steps of:
when the daily indoor actual temperature is judged to be abnormal, judging whether the actual heat supply information reaches the standard or not according to the heat supply index;
and early warning is carried out according to a judgment result of whether the actual heat supply information reaches the standard, if the actual heat supply information is judged not to reach the standard, abnormal information is sent to a heat exchange station terminal, the abnormal information comprises abnormal heat supply index information and a corresponding abnormal heat supply index difference value, and the abnormal heat supply index difference value is the difference value between the actual heat supply information and a second heat supply index.
4. A heating control system-based temperature detection data remote interaction method according to claim 3, characterized by three types of heating information determination means for determining whether actual heating information is up to standard according to heating index when determining daily indoor actual temperature abnormality, comparing the actual heating information with the heating index to determine whether the actual heating information is up to standard, wherein,
the first type of heat supply information judgment mode is that the actual heat supply information is judged to be not up to the standard under the condition of first preset heat supply information;
the second type of heat supply information judgment mode is that the actual heat supply information is judged to reach the standard under the second preset heat supply information condition;
the third type of heat supply information judgment mode is that the actual heat supply information is judged to be not up to the standard under the third preset heat supply information condition;
the first preset heat supply information condition is that the actual heat supply information is larger than a second heat supply index, the second preset heat supply information condition is that the actual heat supply information is larger than or equal to the first heat supply index and smaller than or equal to the second heat supply index, the third preset heat supply information condition is that the actual heat supply information is smaller than the first heat supply index, and the first heat supply index is smaller than the second heat supply index.
5. A heating control system based temperature detection data remote interaction method according to claim 4, characterized in that cell basic information is obtained to obtain the standard heating value, the cell basic information comprises a built-in age and a heating rate, four types of correction ways of correcting a preset standard heating value to obtain the standard heating value are determined according to the built-in age and the heating rate, wherein,
the first type of correction mode is that a first correction coefficient is selected to correct the preset standard heat supply value under a first preset correction condition for the construction life and the heat supply rate;
the second type of correction mode is that the construction life and the heating rate do not correct the preset standard heating value under the second preset correction condition;
the third type of correction mode is that the construction life and the heating rate select a second correction coefficient under a third preset correction condition to correct the preset standard heating value;
the fourth type of correction mode is that the construction life and the heating rate do not correct the preset standard heating value under the fourth preset correction condition;
the first preset correction condition is that the construction age is greater than a preset construction age and the heating rate is less than a preset heating rate, the second preset correction condition is that the construction age is greater than the preset construction age and the heating rate is greater than the preset heating rate, the third preset correction condition is that the construction age is less than the preset construction age and the heating rate is less than the preset heating rate, the fourth preset correction condition is that the construction age is less than the preset construction age and the heating rate is greater than the preset heating rate, the first correction coefficient is less than 1.2, the second correction coefficient is greater than 1, and the first correction coefficient is less than the second correction coefficient.
6. The heat supply control system based temperature detection data remote interaction method according to claim 5, wherein a daily heating supply value is determined according to the air temperature, a difference between the daily air temperature and a standard air temperature is calculated, if the difference is greater than 0 and the difference is greater than a preset air temperature difference, the standard heating supply value down-regulation coefficient is selected to lower the standard heating supply value to obtain the daily heating supply value, if the difference is less than 0 and the absolute value of the difference is greater than the preset air temperature difference, the standard heating supply value up-regulation coefficient is selected to raise the standard heating supply value to obtain the daily heating supply value, wherein the standard heating supply value down-regulation coefficient is greater than 0 and less than 1, and the up-regulation coefficient is greater than 1 and less than 1.1.
7. A heating control system based remote interaction method with temperature detection data according to claim 6, characterized by two types of demand determination methods of obtaining user's demand for heat, comparing user's daily indoor actual temperature with the demand for heat to determine whether the daily indoor actual temperature meets the demand for heat, wherein,
the first requirement judging mode is that the daily indoor actual temperature is judged to be not in accordance with the heat demand under the first preset heat demand condition;
the second requirement judging mode is that the daily indoor actual temperature meets the heat demand under the second preset heat demand condition;
the first preset heat demand condition is that the difference value between the daily indoor actual temperature and the heat demand is larger than a preset difference value, the second preset heat demand condition is that the difference value between the daily indoor actual temperature and the heat demand is smaller than a preset difference value, and the difference value is the absolute value of the difference value between the daily indoor actual temperature and the heat demand.
8. The heating supply control system-based temperature detection data remote interaction method according to claim 7, wherein when the daily indoor actual temperature is determined not to meet the heat demand, the daily indoor actual temperature that does not meet the heat demand is divided into a first demand nonconforming group and a second demand nonconforming group, a daily air temperature corresponding to the nonconforming heat demand is obtained, and whether the temperature difference between the daily indoor actual temperature and the daily air temperature of each user in the first demand nonconforming group and the second demand nonconforming group meets a preset indoor-outdoor temperature difference standard or not is determined according to the daily air temperature,
the first requirement non-compliance group is that the daily indoor actual temperature is greater than the heat demand, the difference value between the daily indoor actual temperature and the daily air temperature is calculated to be a first temperature difference, the first temperature difference is compared with the preset indoor and outdoor temperature difference, if the first temperature difference is greater than the preset indoor and outdoor temperature difference, the first temperature difference is judged to be non-compliance with the preset indoor and outdoor temperature difference standard, and the daily heat supply value is determined to be abnormal, if the first temperature difference is less than the preset indoor and outdoor temperature difference, the first temperature difference is judged to be compliance with the preset indoor and outdoor temperature difference standard, and the daily heat supply value is determined to be normal;
the second demand is not conform to the group and does every day indoor actual temperature is less than with the heat demand, calculate every day indoor actual temperature with the difference of temperature in the same day is the second difference in temperature, and with predetermine indoor outer difference in temperature and contrast, if the second difference in temperature is greater than predetermines indoor outer difference in temperature, then judges that the second difference in temperature is not conform to predetermine indoor outer difference in temperature standard, and confirms that the heat supply value in the same day is unusual, if the second difference in temperature is less than predetermines indoor outer difference in temperature, then judges that the second difference in temperature accords with predetermines indoor outer difference in temperature standard, and confirms that the heat supply value in the same day is normal.
9. The heating control system-based remote interaction method for temperature detection data according to claim 8, wherein the number of users for whom abnormal heating values are determined on the same day is counted, the number of users for whom abnormal determination is determined is compared with a preset number of users for whom abnormal determination is determined, and three types of determination manners for adjusting the adjustment coefficient of the heating values on the same day are determined according to the comparison result, wherein,
the first type of determining mode is that the abnormal judgment user number determines to select a first adjusting coefficient to adjust the daily heat supply value under the condition of a first preset abnormal judgment user number;
the second type of determination mode is that the number of the users with abnormal judgment determines to select a second regulating coefficient to regulate the heat supply value in the day under the condition of a second preset number of users with abnormal judgment;
the third type of determination mode is that the number of the abnormal users is judged without adjusting the heat supply value in the same day under the condition of a third preset number of the abnormal users;
the first preset abnormal judgment user number condition is that the abnormal judgment user number is larger than a second preset abnormal judgment user number, the second preset abnormal judgment user number condition is that the abnormal judgment user number is larger than or equal to the first preset abnormal judgment user number and smaller than or equal to the second preset abnormal judgment user number, and the third preset abnormal judgment user number condition is that the abnormal judgment user number is smaller than the first preset abnormal judgment user number.
10. The heating control system-based temperature detection data remote interaction method according to claim 9, wherein when the adjustment of the heating value of the current day is determined, an up-regulation coefficient or a down-regulation coefficient of the first or second regulation coefficients is selected to adjust the heating value of the current day according to the daily indoor actual temperature and the heat demand of the abnormal user, wherein,
if the daily indoor actual temperature is larger than the heat demand, selecting a reduction coefficient from the first regulation coefficient or the second regulation coefficient to increase the daily heat supply value;
if the daily indoor actual temperature is lower than the heat demand, selecting an increasing coefficient from the first adjusting coefficient or the second adjusting coefficient to decrease the daily heat supply value;
wherein the turn-up coefficient is greater than 1 and less than 1.1, and the turn-down coefficient is greater than 0 and less than 0.9.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117611144A (en) * 2024-01-16 2024-02-27 天津市津安热电有限公司 Quick-response warm notification repair system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008215693A (en) * 2007-03-02 2008-09-18 Hanshin Electric Co Ltd Hot water storage type hot water supply device
CN102721104A (en) * 2012-06-11 2012-10-10 北京金房暖通节能技术有限公司 Climate compensation algorithm and control method for supply water temperature of central heating system
CN103528110A (en) * 2013-10-12 2014-01-22 新疆明和节能科技有限公司 Heat supply system for community
CN205783315U (en) * 2016-05-24 2016-12-07 河北惠沧节能科技有限公司 A kind of central heating temperature automatic adjustment system
CN207146520U (en) * 2017-07-24 2018-03-27 北京雅博恩典科技有限公司 One kind heating intelligent temperature control energy-saving management system
CN111561732A (en) * 2020-05-18 2020-08-21 瑞纳智能设备股份有限公司 Heat exchange station heat supply adjusting method and system based on artificial intelligence
CN114396646A (en) * 2021-12-27 2022-04-26 大连海心信息工程有限公司 Heat exchange station intelligent control method based on user effective room temperature

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008215693A (en) * 2007-03-02 2008-09-18 Hanshin Electric Co Ltd Hot water storage type hot water supply device
CN102721104A (en) * 2012-06-11 2012-10-10 北京金房暖通节能技术有限公司 Climate compensation algorithm and control method for supply water temperature of central heating system
CN103528110A (en) * 2013-10-12 2014-01-22 新疆明和节能科技有限公司 Heat supply system for community
CN205783315U (en) * 2016-05-24 2016-12-07 河北惠沧节能科技有限公司 A kind of central heating temperature automatic adjustment system
CN207146520U (en) * 2017-07-24 2018-03-27 北京雅博恩典科技有限公司 One kind heating intelligent temperature control energy-saving management system
CN111561732A (en) * 2020-05-18 2020-08-21 瑞纳智能设备股份有限公司 Heat exchange station heat supply adjusting method and system based on artificial intelligence
CN114396646A (en) * 2021-12-27 2022-04-26 大连海心信息工程有限公司 Heat exchange station intelligent control method based on user effective room temperature

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
JONAS GUSTAFSSON,ET AL: "Improved district heating substation efficiency with a new control strategy", 《APPLIED ENERGY》 *
万国峰;: "基于GPRS的市区供热测控系统设计", 兰州石化职业技术学院学报 *
白鹤;: "无线室温实时监测系统的应用", 区域供热 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117611144A (en) * 2024-01-16 2024-02-27 天津市津安热电有限公司 Quick-response warm notification repair system
CN117611144B (en) * 2024-01-16 2024-05-17 天津市津安热电有限公司 Quick-response warm notification repair system

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