CN112013521A - Air conditioning system adjusting method and system based on weather forecast - Google Patents

Air conditioning system adjusting method and system based on weather forecast Download PDF

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Publication number
CN112013521A
CN112013521A CN202010939457.4A CN202010939457A CN112013521A CN 112013521 A CN112013521 A CN 112013521A CN 202010939457 A CN202010939457 A CN 202010939457A CN 112013521 A CN112013521 A CN 112013521A
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time
air conditioning
conditioning system
temperature
information
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CN112013521B (en
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聂占文
石志强
李强
毕鑫磊
贺龙
杨梦凯
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Zhongweitong Beijing Technology Co ltd
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Zhongweitong Beijing Technology Co ltd
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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
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • 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
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • 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
    • 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
    • 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
    • F24F2110/20—Humidity
    • 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
    • F24F2110/20—Humidity
    • F24F2110/22—Humidity of the outside air
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/10—Weather information or forecasts

Abstract

The invention provides an air conditioning system adjusting method and system based on weather forecast, belonging to the technical field of air conditioning energy conservation, wherein the method comprises the following steps: collecting current indoor and outdoor temperature and humidity information and weather forecast information in specified time; judging the availability of weather forecast information; and determining the cold load required by indoor temperature adjustment by using the weather forecast information, enabling the indoor temperature to reach an appointed preset parameter within the appointed time by adjusting a control strategy of an air conditioning system, generating a time table, setting a sampling time point in advance, detecting outdoor actual temperature information at the sampling time point in advance, comparing the actual condition of the temperature information with the weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameter according to a comparison result. The system comprises modules corresponding to the steps of the method.

Description

Air conditioning system adjusting method and system based on weather forecast
Technical Field
The invention provides an air conditioning system adjusting method and system based on weather forecast, and belongs to the technical field of air conditioning energy conservation.
Background
The current air conditioner energy saving generally adopts PID control and load prediction to regulate an air conditioning system. However, air conditioning systems, particularly central air conditioning systems, are complex systems with time lag, time variation, non-linearity, and large inertia, which are difficult to describe with accurate mathematical models or methods. For an air conditioning system in a subway station, factors influencing the indoor temperature of the subway station are outdoor temperature, illumination intensity, passenger flow, heat generated by train braking, equipment heating and the like, wherein the main influence factor is the outdoor temperature. Due to the time-varying dynamic characteristics of the central air-conditioning system and the complex structure of the underground space of the subway station, the large hysteresis of the station air-conditioning system is caused. At present, most subway stations are still controlled by the traditional BAS, and some stations are provided with energy-saving systems, and basically adopt PID (proportion integration differentiation) regulation and load prediction regulation, but the problem of large hysteresis of an air conditioning system of the stations cannot be well solved.
In the traditional BAS control, the control strategy is not changed, i.e., the mode and parameters are not changed, and the control cannot be adjusted according to the conformity of the station, which causes energy waste. In the adjusting process of the PID controller, the adjustment is carried out based on real-time conformity of a station, so that the hysteresis exists, the parameter setting depends on the experience of engineering debugging personnel to a great extent, the influence is great due to human factors, once the parameter setting is carried out, the automatic adjustment cannot be carried out along with the change of the load and the working condition, the energy-saving effect is poor, the oscillation is easy, and the operation stability of an air conditioning system and the service quality of the tail end of an air conditioner are influenced. Although the load prediction method can solve the problem of hysteresis of an air conditioning system to a certain extent, the current load prediction means is based on historical and real-time data basically, the load prediction precision is not high, the system cannot respond to sudden weather conditions in time, system oscillation is easily caused, and a relatively ideal regulation effect is difficult to obtain.
Disclosure of Invention
The invention provides an air conditioning system adjusting method and system based on weather forecast, which are used for solving the problems that the load forecasting precision is not high, the system cannot respond to sudden weather conditions in time, the system is easy to vibrate, and a relatively ideal adjusting effect is difficult to obtain:
an air conditioning system adjusting method based on weather forecast, the air conditioning system adjusting method comprising:
collecting current indoor and outdoor temperature and humidity information and weather forecast information in specified time;
judging the availability of weather forecast information;
determining the cold load required by the indoor temperature adjustment by using the weather forecast information, enabling the indoor temperature to reach the specified preset parameter within the specified time by adjusting the control strategy of the air conditioning system, generating a time table,
setting a sampling time point in advance, detecting outdoor actual temperature information when the sampling time point is in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
Further, the determining process in the specified time includes:
when the air conditioning system operates for the first time, the weather forecast information is carried out at the specified time according to the preset specified time, wherein the preset specified time is 15min, namely, the weather forecast information is collected once within the first operation time period of the air conditioning system according to the frequency of every 15 min. And the area scope of weather forecast information collection is as follows: a radiation area with the place of the air conditioning system as the center of a circle and the distance of 1km as the radius; after the air conditioning system is operated for the second time, the scheduled time is determined according to the following process:
acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition;
determining a time adjustment coefficient of the designated time by utilizing the relation between the starting time of the air conditioning system and the time adjustment coefficient according to the starting time of the air conditioning system;
determining the designated time by using a time adjustment coefficient in combination with a time acquisition model, wherein the time acquisition model is as follows:
Figure BDA0002673120960000021
wherein T represents a designated time, TkiThe time length of starting the ith operation of the air conditioning system in one day is represented, and n represents the number of times of starting the operation of the air conditioning system in one day; t iscjRepresenting the time for the air conditioning system to collect the weather forecast information for the jth time in a day; m represents the number of times of collecting weather forecast information in one day of the air conditioning system, t0Representing a preset designated time, wherein the preset designated time is 15 min; λ represents a time adjustment coefficient.
Further, the relationship between the starting time of the air conditioning system and the time adjustment coefficient is as follows:
when the running time of the air conditioning system is between 5:00 and 9:00, the value range of the time adjustment coefficient lambda is as follows: 0.048-0.057;
when the running time of the air conditioning system is 12: 00-15: 00, the value range of the time adjustment coefficient lambda is as follows: 0.058-0.061;
when the running time of the air conditioning system is 17: 00-19: 00, the value range of the time adjustment coefficient lambda is as follows: 0.038-0.052;
when the starting time of the air conditioning system is in other time periods except for 5: 00-9: 00, 12: 00-15: 00 and 17: 00-19: 00, the value range of the time adjusting coefficient lambda is as follows: 0.086-0.095.
Further, determining a cooling load required by indoor temperature adjustment by using the weather forecast information, enabling the indoor temperature to reach a specified preset parameter within the specified time by adjusting a control strategy of an air conditioning system, and generating a time table, wherein the time table comprises:
determining the target temperature for indoor temperature regulation according to the temperature rise and fall change condition in the collected weather information within the specified time;
determining a cooling load required for indoor temperature adjustment through the target temperature;
acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load;
and adjusting a control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance to enable each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
Further, set up sampling time point in advance, detect outdoor actual temperature information when sampling time point in advance, compare with the weather information that obtains in advance according to the actual conditions of temperature information, confirm whether to carry out the redetermination of cold load and preset parameter according to the comparison result, include:
acquiring and setting a sampling time point in advance, wherein the sampling time point in advance is a sampling time point of outdoor temperature before a time point corresponding to the designated time; the advance time sampling point is obtained by the following formula:
Figure BDA0002673120960000031
wherein Tq represents an advanced sampling time point that is earlier than the specified time; t iswlIndicating the time for the air conditioning system to detect and collect outdoor temperature information for the first time of a day, p indicating the time for the air conditioning system to detect and collect outdoor temperature information for the second time of a dayThe number of times of outdoor temperature information;
when the sampling time point corresponding to the designated time is reached, detecting and collecting outdoor temperature information in real time, and acquiring the outdoor temperature information corresponding to the sampling time point;
judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not;
when the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value, immediately re-determining the indoor required cold load, and re-determining preset parameters;
determining a difference quantity that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold value, and performing adaptive adjustment on the temperature difference threshold value according to the difference quantity and an adaptive adjustment model, wherein the adaptive adjustment model is as follows:
Figure BDA0002673120960000032
wherein H1The temperature difference threshold value after self-adaptive adjustment is represented, and H represents a preset temperature difference threshold value; cmaxA maximum value of a difference amount representing that a difference between the temperature information and a temperature rise and fall change situation acquired in advance exceeds the temperature difference threshold; ctThe difference quantity represents that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold value for the tth time; s represents the number of times the difference between the temperature information and the temperature rise and fall variation situation acquired in advance exceeds the temperature difference threshold.
A weather forecast based air conditioning system, the system comprising:
the acquisition module is used for acquiring current indoor and outdoor temperature and humidity information and weather forecast information in specified time;
the judging module is used for judging the usability of the weather forecast information;
the control module is used for determining the cold load required by the indoor temperature adjustment by utilizing the weather forecast information, enabling the indoor temperature to reach the specified preset parameter within the specified time by adjusting the control strategy of the air conditioning system, and generating a time table,
and the adjusting module is used for setting a sampling time point in advance, detecting outdoor actual temperature information when the sampling time point is in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
Further, the adoption module comprises:
the time information acquisition module is used for acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition;
the adjusting coefficient determining module is used for determining the time adjusting coefficient of the designated time by utilizing the relation between the starting time of the air conditioning system and the time adjusting coefficient according to the starting time of the air conditioning system;
and the appointed time acquisition module is used for determining the appointed time by utilizing a time adjustment coefficient and combining a time acquisition model.
Further, the relationship between the starting time of the air conditioning system and the time adjustment coefficient is as follows:
when the running time of the air conditioning system is between 5:00 and 9:00, the value range of the time adjustment coefficient lambda is as follows: 0.048-0.057;
when the running time of the air conditioning system is 12: 00-15: 00, the value range of the time adjustment coefficient lambda is as follows: 0.058-0.061;
when the running time of the air conditioning system is 17: 00-19: 00, the value range of the time adjustment coefficient lambda is as follows: 0.038-0.052;
when the starting time of the air conditioning system is in other time periods except for 5: 00-9: 00, 12: 00-15: 00 and 17: 00-19: 00, the value range of the time adjusting coefficient lambda is as follows: 0.086-0.095.
Further, the control module includes:
the change information acquisition module is used for determining the target temperature of indoor temperature adjustment according to the acquired temperature rise and fall change condition in the weather information within the specified time;
the cold load obtaining module is used for determining the cold load required by indoor temperature adjustment according to the target temperature;
the parameter acquisition module is used for acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load;
and the air conditioning system operation control module is used for adjusting the control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance, enabling each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
Further, the adjustment module includes:
the sampling time point setting module is used for acquiring and setting a sampling time point in advance, wherein the sampling time point in advance is a sampling time point of outdoor temperature before a time point corresponding to the designated time;
the outdoor temperature information acquisition module is used for detecting and acquiring outdoor temperature information in real time when the sampling time point corresponding to the specified time is reached, and acquiring the outdoor temperature information corresponding to the sampling time point;
the temperature difference judging module is used for judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not;
the resetting module is used for immediately resetting the indoor required cold load and resetting the preset parameters when the difference between the temperature information and the temperature rise and fall change condition acquired in advance exceeds a preset temperature difference threshold value;
and the self-adaptive adjusting module is used for determining the difference of the temperature information and the temperature rise and fall change condition obtained in advance, wherein the difference exceeds the difference threshold of the temperature, and the self-adaptive adjusting module is used for carrying out self-adaptive adjustment on the temperature difference threshold by combining a self-adaptive adjusting model according to the difference.
The invention has the beneficial effects that:
the invention provides a method and a system for adjusting an air conditioning system based on weather forecast, which utilize a weather forecast means to forecast the load change of the air conditioning system at the future time to obtain the optimal operation parameter under the load condition, and control each parameter variable of the air conditioning system in advance, thereby not only avoiding the control time difference caused by the large time lag and the large inertia of the air conditioning system, but also ensuring the balance and the time synchronization of the cooling of the air conditioning system and the cooling of the load.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system block diagram of the system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides an air conditioning system adjusting method and system based on weather forecast, which are used for solving the problems that the load forecasting precision is not high, the system cannot respond to sudden weather conditions in time, the system is easy to vibrate, and a relatively ideal adjusting effect is difficult to obtain:
an embodiment of the present invention provides an air conditioning system adjusting method based on weather forecast, and as shown in fig. 1, the air conditioning system adjusting method includes:
s1, collecting current indoor and outdoor temperature and humidity information and weather forecast information in specified time;
s2, judging the availability of the weather forecast information;
s3, determining the cold load required by the indoor temperature adjustment by using the weather forecast information, adjusting the control strategy of the air conditioning system to enable the indoor temperature to reach the preset parameters within the appointed time, generating a time table,
s4, setting a sampling time point in advance, detecting outdoor actual temperature information at the sampling time point in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to the comparison result.
The working principle of the technical scheme is as follows: firstly, collecting current indoor and outdoor temperature and humidity information and weather forecast information in specified time; then, judging the availability of the weather forecast information; then, determining the cold load required by indoor temperature adjustment by using the weather forecast information, enabling the indoor temperature to reach a specified preset parameter within the specified time by adjusting the control strategy of the air conditioning system, and generating a time table; and finally, setting a sampling time point in advance, detecting outdoor actual temperature information at the sampling time point in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
The effect of the above technical scheme is as follows: the method for adjusting the air conditioning system can predict the load of the air conditioning system more accurately and perform feed-forward control on the air conditioning system, thereby avoiding the hysteresis and the oscillation of the system, ensuring the balance of supply and demand of the system and enabling the air conditioning system to be in a high-efficiency running state and an energy-saving optimization state all the time.
In an embodiment of the present invention, the determining process in the specified time includes:
when the air conditioning system operates for the first time, the weather forecast information is carried out at the specified time according to the preset specified time, wherein the preset specified time is 15min, namely, the weather forecast information is collected once within the first operation time period of the air conditioning system according to the frequency of every 15 min. And the area scope of weather forecast information collection is as follows: a radiation area with the place of the air conditioning system as the center of a circle and the distance of 1km as the radius; after the air conditioning system is operated for the second time, the scheduled time is determined according to the following process:
s101, acquiring starting time of the air conditioning system and time required by indoor and outdoor temperature and humidity information acquisition;
s102, determining a time adjustment coefficient of the designated time by utilizing the relation between the starting time of the air conditioning system and the time adjustment coefficient according to the starting time of the air conditioning system;
s103, determining the designated time by using a time adjustment coefficient and combining a time acquisition model, wherein the time acquisition model is as follows:
Figure BDA0002673120960000071
wherein T represents a designated time, TkiThe time length of starting the ith operation of the air conditioning system in one day is represented, and n represents the number of times of starting the operation of the air conditioning system in one day; t iscjRepresenting the time for the air conditioning system to collect the weather forecast information for the jth time in a day; m represents the number of times of collecting weather forecast information in one day of the air conditioning system, t0Representing a preset designated time, wherein the preset designated time is 15 min; λ represents a time adjustment coefficient.
The working principle of the technical scheme is as follows: firstly, acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition; then, according to the starting time of the air conditioning system, determining a time adjustment coefficient of the specified time by using the relation between the starting time of the air conditioning system and the time adjustment coefficient; and finally, determining the specified time by utilizing a time adjustment coefficient and combining a time acquisition model.
The effect of the above technical scheme is as follows: the appointed time obtained by the method can be matched with the actual running time condition of the air conditioner, the appointed time is obtained according to the actual running time condition of the air conditioning system and the time condition used for collecting the weather forecast information, the appointed time can be adjusted in real time according to the running condition and the information collecting condition of the air conditioning system, the matching degree of the time point for collecting the weather forecast and the actual running condition of the air conditioning system is higher, the collected weather forecast information is matched with the actual running condition of the air conditioning system more, the accuracy of the adjustment of the control strategy of the follow-up air conditioning system can be guaranteed, the accuracy of the adjustment of the indoor temperature and humidity is improved, the cold load is determined more effectively and accurately, and the energy consumption and the energy saving amount are guaranteed to.
In an embodiment of the present invention, the relationship between the starting time of the air conditioning system and the time adjustment coefficient is as follows:
when the running time of the air conditioning system is between 5:00 and 9:00, the value range of the time adjustment coefficient lambda is as follows: 0.048-0.057; among them, 0.52 is most preferable, and 0.50 is less preferable;
when the running time of the air conditioning system is 12: 00-15: 00, the value range of the time adjustment coefficient lambda is as follows: 0.058-0.061; among them, 0.059 is most preferable, and 0.060 is less preferable;
when the running time of the air conditioning system is 17: 00-19: 00, the value range of the time adjustment coefficient lambda is as follows: 0.038-0.052; of these, 0.043 is most preferred, and 0.048 is less preferred;
when the starting time of the air conditioning system is in other time periods except for 5: 00-9: 00, 12: 00-15: 00 and 17: 00-19: 00, the value range of the time adjusting coefficient lambda is as follows: 0.086-0.095. Among them, 0.089 is most preferable, and 0.093 is less preferable;
the working principle of the technical scheme is as follows: the method comprises the steps of adjusting the value range of a time adjustment coefficient according to different time periods of the operation time of the air conditioning system, acquiring different appointed time according to different value ranges of the time adjustment coefficient, and acquiring weather forecast information based on different time periods through adjustment of the appointed time.
The effect of the above technical scheme is as follows: through the adjustment of the value of the time adjustment coefficient lambda, the air conditioning system can adjust the acquisition frequency of the weather forecast information by adjusting the specified time according to the change complexity of the corresponding weather condition in a special time period (namely, each time period) of a day and the flow condition of indoor personnel corresponding to the time period, so that the matching degree between the acquisition time point and frequency of the weather forecast information and the actual operation and actual weather change conditions of the air conditioning system is further improved. The accuracy of determining the cold load of the air conditioning system in a special time period is further improved.
In an embodiment of the present invention, determining a cooling load required for adjusting an indoor temperature by using the weather forecast information, and adjusting a control strategy of an air conditioning system to make the indoor temperature reach a predetermined preset parameter within a predetermined time, and generating a schedule includes:
s301, determining the target temperature for indoor temperature adjustment according to the temperature rise and fall change condition in the collected weather information within the specified time;
s302, determining a cold load required by indoor temperature adjustment according to the target temperature;
s303, acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load;
s304, adjusting a control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance to enable each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
The working principle of the technical scheme is as follows: firstly, determining the target temperature for indoor temperature regulation according to the temperature rise and fall change condition in the collected weather information within the specified time; then, determining the cold load required by indoor temperature adjustment according to the target temperature; then, acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cooling load; and finally, adjusting a control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance to enable each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
The effect of the above technical scheme is as follows: the air conditioning system adjusting method can also enable the load prediction of the air conditioning system to be more accurate, and performs feed-forward control on the air conditioning system, thereby avoiding the hysteresis and the oscillation of the system, ensuring the supply and demand balance of the system, and enabling the air conditioning system to be in a high-efficiency running state and an energy-saving optimization state all the time.
In one embodiment of the present invention, setting a sampling time point in advance, detecting outdoor actual temperature information at the sampling time point in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine a cold load and a preset parameter according to a comparison result, includes:
s401, acquiring and setting a sampling time point in advance, wherein the sampling time point in advance is a sampling time point of outdoor temperature before a time point corresponding to the designated time; the advance time sampling point is obtained by the following formula:
Figure BDA0002673120960000081
wherein, TqRepresenting an advanced sampling time point, the advanced sampling time point being earlier than the specified time; t iswlThe time for detecting and acquiring outdoor temperature information for the first time in a day is represented by p, and the number of times for detecting and acquiring outdoor temperature information in the day is represented by p;
s402, detecting and collecting outdoor temperature information in real time when the sampling time point in advance corresponding to the designated time is reached, and acquiring the outdoor temperature information corresponding to the sampling time point in advance;
s403, judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not;
s404, when the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value, immediately re-determining the indoor required cold load, and re-determining preset parameters;
s405, determining a difference quantity that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold, and performing adaptive adjustment on the temperature difference threshold by combining an adaptive adjustment model according to the difference quantity, wherein the adaptive adjustment model is as follows:
Figure BDA0002673120960000091
wherein H1The temperature difference threshold value after self-adaptive adjustment is represented, and H represents a preset temperature difference threshold value; cmaxA maximum value of a difference amount representing that a difference between the temperature information and a temperature rise and fall change situation acquired in advance exceeds the temperature difference threshold; ctThe difference quantity represents that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold value for the tth time; s represents the number of times the difference between the temperature information and the temperature rise and fall variation situation acquired in advance exceeds the temperature difference threshold.
The working principle of the technical scheme is as follows: in the operation process of the air conditioning system, the weather forecast information of the subsequent appointed time is obtained, and then the outdoor temperature and humidity information is predicted, so that the operation parameters of the air conditioning system when the operation reaches the appointed time are predicted and set in advance. According to the method provided by the embodiment, a sampling time point is set before the air conditioner runs to the appointed time, outdoor temperature and humidity are detected at the sampling time point in advance, a real-time monitoring result is compared with outdoor temperature and humidity information of the time point corresponding to the appointed time which is predicted in advance, when the difference between the real-time monitoring result and the outdoor temperature and humidity information exceeds a temperature difference threshold value, the difference between the outdoor temperature and the temperature information at the time point corresponding to the subsequent appointed time is larger due to the fact that weather change conditions exceed prediction, at the moment, the cold load of the air conditioner system which runs to the appointed time point needs to be determined again according to the outdoor temperature and humidity information obtained at the sampling time point in advance, and then the parameters of the air conditioner which runs.
The effect of the above technical scheme is as follows: by the method, the accuracy of the cold load of the air conditioning system can be effectively improved, the problem that the indoor temperature and humidity adjustment is inaccurate due to inaccurate cold load prediction of the air conditioning system caused by overlarge or sudden change of weather can be effectively avoided, and meanwhile, unnecessary energy consumption can be effectively avoided by re-determining the cold load. On the other hand, the sampling point of the advance time obtained by the formula is highly matched with the actual operation time of the air conditioner and the weather forecast information obtaining time, so that the time difference between the sampling point of the advance time and the appointed time can ensure that the actual possible weather condition of the appointed time can be effectively monitored in time, the interval between the sampling point of the advance time and the appointed time can be ensured not to generate unpredictable second temperature change, and the timeliness and the effectiveness of outdoor environment temperature monitoring are effectively improved. Meanwhile, through the self-adaptive adjustment of the temperature difference threshold value, the accuracy of the temperature difference comparison standard can be improved in severe weather with rapid change and complicated change, so that the accuracy of the cold load determination of the air conditioning system at a specified time point in severe weather is improved, and the problem of inaccurate control and adjustment of the air conditioning system caused by large outdoor temperature and humidity prediction error due to the fact that the difference threshold value is fixed under the condition of changeable weather is avoided.
An embodiment of the present invention provides an air conditioning system adjusting system based on weather forecast, and as shown in fig. 2, the system includes:
the acquisition module is used for acquiring current indoor and outdoor temperature and humidity information and weather forecast information in specified time;
the judging module is used for judging the usability of the weather forecast information;
the control module is used for determining the cold load required by the indoor temperature adjustment by utilizing the weather forecast information, enabling the indoor temperature to reach the specified preset parameter within the specified time by adjusting the control strategy of the air conditioning system, and generating a time table,
and the adjusting module is used for setting a sampling time point in advance, detecting outdoor actual temperature information when the sampling time point is in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
The working principle of the technical scheme is as follows: firstly, acquiring current indoor and outdoor temperature and humidity information and weather forecast information in specified time through an acquisition module; then, the availability of the weather forecast information is judged by utilizing a judging module; then, determining the cold load required by indoor temperature adjustment by using the weather forecast information through a control module, enabling the indoor temperature to reach a specified preset parameter within the specified time by adjusting a control strategy of an air conditioning system, and generating a time table; and finally, setting a sampling time point in advance through an adjusting module, detecting outdoor actual temperature information at the sampling time point in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
The effect of the above technical scheme is as follows: the effect of the above technical scheme is as follows: the method for adjusting the air conditioning system can predict the load of the air conditioning system more accurately and perform feed-forward control on the air conditioning system, thereby avoiding the hysteresis and the oscillation of the system, ensuring the balance of supply and demand of the system and enabling the air conditioning system to be in a high-efficiency running state and an energy-saving optimization state all the time.
In an embodiment of the present invention, the adoption module includes:
the time information acquisition module is used for acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition;
the adjusting coefficient determining module is used for determining the time adjusting coefficient of the designated time by utilizing the relation between the starting time of the air conditioning system and the time adjusting coefficient according to the starting time of the air conditioning system;
and the appointed time acquisition module is used for determining the appointed time by utilizing a time adjustment coefficient and combining a time acquisition model. The time acquisition model is as follows:
Figure BDA0002673120960000111
wherein T represents a designated time, TkiThe time length of starting the ith operation of the air conditioning system in one day is represented, and n represents the number of times of starting the operation of the air conditioning system in one day; t iscjRepresenting the time for the air conditioning system to collect the weather forecast information for the jth time in a day; m represents the number of times of collecting weather forecast information in one day of the air conditioning system, t0Representing a preset designated time, wherein the preset designated time is 15 min; λ represents a time adjustment coefficient.
The working principle of the technical scheme is as follows: firstly, acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition through a time information acquisition module; then, determining a time adjustment coefficient of the specified time by using an adjustment coefficient determining module according to the starting time of the air conditioning system and the relation between the starting time of the air conditioning system and the time adjustment coefficient; and finally, determining the designated time by using a time adjustment coefficient and a time acquisition model through a designated time acquisition module.
The effect of the above technical scheme is as follows: the appointed time obtained by the method can be matched with the actual running time condition of the air conditioner, the appointed time is obtained according to the actual running time condition of the air conditioning system and the time condition used for collecting the weather forecast information, the appointed time can be adjusted in real time according to the running condition and the information collecting condition of the air conditioning system, the matching degree of the time point for collecting the weather forecast and the actual running condition of the air conditioning system is higher, the collected weather forecast information is matched with the actual running condition of the air conditioning system more, the accuracy of the adjustment of the control strategy of the follow-up air conditioning system can be guaranteed, the accuracy of the adjustment of the indoor temperature and humidity is improved, the cold load is determined more effectively and accurately, and the energy consumption and the energy saving amount are guaranteed to.
In an embodiment of the present invention, the relationship between the starting time of the air conditioning system and the time adjustment coefficient is as follows:
when the running time of the air conditioning system is between 5:00 and 9:00, the value range of the time adjustment coefficient lambda is as follows: 0.048-0.057;
when the running time of the air conditioning system is 12: 00-15: 00, the value range of the time adjustment coefficient lambda is as follows: 0.058-0.061;
when the running time of the air conditioning system is 17: 00-19: 00, the value range of the time adjustment coefficient lambda is as follows: 0.038-0.052;
when the starting time of the air conditioning system is in other time periods except for 5: 00-9: 00, 12: 00-15: 00 and 17: 00-19: 00, the value range of the time adjusting coefficient lambda is as follows: 0.086-0.095.
The working principle of the technical scheme is as follows: the method comprises the steps of adjusting the value range of a time adjustment coefficient according to different time periods of the operation time of the air conditioning system, acquiring different appointed time according to different value ranges of the time adjustment coefficient, and acquiring weather forecast information based on different time periods through adjustment of the appointed time.
The effect of the above technical scheme is as follows: through the adjustment of the value of the time adjustment coefficient lambda, the air conditioning system can adjust the acquisition frequency of the weather forecast information by adjusting the specified time according to the change complexity of the corresponding weather condition in a special time period (namely, each time period) of a day and the flow condition of indoor personnel corresponding to the time period, so that the matching degree between the acquisition time point and frequency of the weather forecast information and the actual operation and actual weather change conditions of the air conditioning system is further improved. The accuracy of determining the cold load of the air conditioning system in a special time period is further improved.
In one embodiment of the invention, the control module comprises:
the change information acquisition module is used for determining the target temperature of indoor temperature adjustment according to the acquired temperature rise and fall change condition in the weather information within the specified time;
the cold load obtaining module is used for determining the cold load required by indoor temperature adjustment according to the target temperature;
the parameter acquisition module is used for acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load;
and the air conditioning system operation control module is used for adjusting the control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance, enabling each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
The working principle of the technical scheme is as follows: firstly, determining the target temperature of indoor temperature regulation according to the temperature rise and fall change condition in the collected weather information within the specified time through a change information collection module; then, determining the cold load required by indoor temperature adjustment through the target temperature by using a cold load acquisition module; then, acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load through a parameter acquisition module; and finally, adjusting a control strategy of the air conditioning system by using an air conditioning system operation control module, controlling each parameter variable of the air conditioning system in advance to enable each adjusting parameter of the air conditioning system to reach a preset parameter after the appointed time, and generating a time table.
The effect of the above technical scheme is as follows: the air conditioning system adjusting method can also enable the load prediction of the air conditioning system to be more accurate, and performs feed-forward control on the air conditioning system, thereby avoiding the hysteresis and the oscillation of the system, ensuring the supply and demand balance of the system, and enabling the air conditioning system to be in a high-efficiency running state and an energy-saving optimization state all the time.
In one embodiment of the present invention, the adjusting module includes:
the sampling time point setting module is used for acquiring and setting a sampling time point in advance, wherein the sampling time point in advance is a sampling time point of outdoor temperature before a time point corresponding to the designated time; wherein the advance time sampling point is obtained by the following formula:
Figure BDA0002673120960000131
wherein, TqRepresenting an advanced sampling time point, the advanced sampling time point being earlier than the specified time; t iswlThe time for detecting and acquiring outdoor temperature information for the first time in a day is represented by p, and the number of times for detecting and acquiring outdoor temperature information in the day is represented by p;
the outdoor temperature information acquisition module is used for detecting and acquiring outdoor temperature information in real time when the sampling time point corresponding to the specified time is reached, and acquiring the outdoor temperature information corresponding to the sampling time point;
the temperature difference judging module is used for judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not;
the resetting module is used for immediately resetting the indoor required cold load and resetting the preset parameters when the difference between the temperature information and the temperature rise and fall change condition acquired in advance exceeds a preset temperature difference threshold value;
and the self-adaptive adjusting module is used for determining the difference of the temperature information and the temperature rise and fall change condition obtained in advance, wherein the difference exceeds the difference threshold of the temperature, and the self-adaptive adjusting module is used for carrying out self-adaptive adjustment on the temperature difference threshold by combining a self-adaptive adjusting model according to the difference.
Wherein the adaptive adjustment model is as follows:
Figure BDA0002673120960000132
wherein H1The temperature difference threshold value after self-adaptive adjustment is represented, and H represents a preset temperature difference threshold value; cmaxA maximum value of a difference amount representing that a difference between the temperature information and a temperature rise and fall change situation acquired in advance exceeds the temperature difference threshold; ctThe difference quantity represents that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold value for the tth time; s represents the number of times the difference between the temperature information and the temperature rise and fall variation situation acquired in advance exceeds the temperature difference threshold.
The working principle of the technical scheme is as follows: firstly, acquiring and setting a sampling time point in advance through a sampling time point in advance setting module, wherein the sampling time point in advance is a sampling time point of outdoor temperature before a time point corresponding to the specified time; then, detecting and collecting outdoor temperature information in real time by adopting an outdoor temperature information acquisition module when the sampling time point in advance corresponding to the specified time is reached, and acquiring the outdoor temperature information corresponding to the sampling time point in advance; then, a temperature difference judging module is used for judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not; then, when the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value, a re-setting module is used for immediately re-determining the indoor required cold load and re-determining preset parameters; and finally, determining the difference between the temperature information and the temperature rise and fall change condition obtained in advance to exceed the difference of the temperature difference threshold value through a self-adaptive adjusting module, and carrying out self-adaptive adjustment on the temperature difference threshold value according to the difference and a self-adaptive adjusting model.
The effect of the above technical scheme is as follows: by the method, the accuracy of the cold load of the air conditioning system can be effectively improved, the problem that the indoor temperature and humidity adjustment is inaccurate due to inaccurate cold load prediction of the air conditioning system caused by overlarge or sudden change of weather can be effectively avoided, and meanwhile, unnecessary energy consumption can be effectively avoided by re-determining the cold load. On the other hand, the sampling point of the advance time obtained by the formula is highly matched with the actual operation time of the air conditioner and the weather forecast information obtaining time, so that the time difference between the sampling point of the advance time and the appointed time can ensure that the actual possible weather condition of the appointed time can be effectively monitored in time, the interval between the sampling point of the advance time and the appointed time can be ensured not to generate unpredictable second temperature change, and the timeliness and the effectiveness of outdoor environment temperature monitoring are effectively improved. Meanwhile, through the self-adaptive adjustment of the temperature difference threshold value, the accuracy of the temperature difference comparison standard can be improved in severe weather with rapid change and complicated change, so that the accuracy of the cold load determination of the air conditioning system at a specified time point in severe weather is improved, and the problem of inaccurate control and adjustment of the air conditioning system caused by large outdoor temperature and humidity prediction error due to the fact that the difference threshold value is fixed under the condition of changeable weather is avoided.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. An air conditioning system adjusting method based on weather forecast is characterized by comprising the following steps:
collecting current indoor and outdoor temperature and humidity information and weather forecast information in specified time;
judging the availability of weather forecast information;
determining the cold load required by the indoor temperature adjustment by using the weather forecast information, enabling the indoor temperature to reach the specified preset parameter within the specified time by adjusting the control strategy of the air conditioning system, generating a time table,
setting a sampling time point in advance, detecting outdoor actual temperature information when the sampling time point is in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
2. The air conditioning system adjusting method according to claim 1, wherein the determination process within the designated time includes:
acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition;
determining a time adjustment coefficient of the designated time by utilizing the relation between the starting time of the air conditioning system and the time adjustment coefficient according to the starting time of the air conditioning system;
determining the designated time by using a time adjustment coefficient in combination with a time acquisition model, wherein the time acquisition model is as follows:
Figure FDA0002673120950000011
wherein T represents a designated time, TkiThe time length of starting the ith operation of the air conditioning system in one day is represented, and n represents the number of times of starting the operation of the air conditioning system in one day; t iscjRepresenting the time for the air conditioning system to collect the weather forecast information for the jth time in a day; m represents the number of times of collecting weather forecast information in one day of the air conditioning system, t0Representing a preset designated time, wherein the preset designated time is 15 min; λ represents a time adjustment coefficient.
3. The air conditioning system adjusting method according to claim 2, wherein the relationship between the air conditioning system start-up time and the time adjustment coefficient is as follows:
when the running time of the air conditioning system is between 5:00 and 9:00, the value range of the time adjustment coefficient lambda is as follows: 0.048-0.057;
when the running time of the air conditioning system is 12: 00-15: 00, the value range of the time adjustment coefficient lambda is as follows: 0.058-0.061;
when the running time of the air conditioning system is 17: 00-19: 00, the value range of the time adjustment coefficient lambda is as follows: 0.038-0.052;
when the starting time of the air conditioning system is in other time periods except for 5: 00-9: 00, 12: 00-15: 00 and 17: 00-19: 00, the value range of the time adjusting coefficient lambda is as follows: 0.086-0.095.
4. The air conditioning system adjusting method according to claim 1, wherein determining a cooling load required for indoor temperature adjustment using the weather forecast information, and making the indoor temperature reach a specified preset parameter within the specified time by adjusting a control strategy of the air conditioning system, and generating a schedule includes:
determining the target temperature for indoor temperature regulation according to the temperature rise and fall change condition in the collected weather information within the specified time;
determining a cooling load required for indoor temperature adjustment through the target temperature;
acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load;
and adjusting a control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance to enable each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
5. The air conditioning system adjusting method according to claim 1, wherein a sampling time point is set in advance, outdoor actual temperature information is detected at the sampling time point in advance, comparison is performed between an actual condition of the temperature information and weather information acquired in advance, and whether to re-determine the cooling load and the preset parameter is determined according to a comparison result, including:
acquiring and setting an advanced sampling time point, wherein the advanced sampling time point is acquired through the following formula:
Figure FDA0002673120950000021
wherein, TqRepresenting an advanced sampling time point, the advanced sampling time point being earlier than the specified time; t iswlThe time for detecting and acquiring outdoor temperature information for the first time in a day is represented by p, and the number of times for detecting and acquiring outdoor temperature information in the day is represented by p;
when the sampling time point corresponding to the designated time is reached, detecting and collecting outdoor temperature information in real time, and acquiring the outdoor temperature information corresponding to the sampling time point;
judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not;
when the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value, immediately re-determining the indoor required cold load, and re-determining preset parameters;
determining a difference quantity that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold value, and performing adaptive adjustment on the temperature difference threshold value according to the difference quantity and an adaptive adjustment model, wherein the adaptive adjustment model is as follows:
Figure FDA0002673120950000022
wherein H1The temperature difference threshold value after self-adaptive adjustment is represented, and H represents a preset temperature difference threshold value; cmaxA maximum value of a difference amount representing that a difference between the temperature information and a temperature rise and fall change situation acquired in advance exceeds the temperature difference threshold; ctThe difference quantity represents that the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds the temperature difference threshold value for the tth time; s represents that the difference between the temperature information and the temperature rise and fall change situation obtained in advance exceedsThe number of said temperature difference threshold values.
6. A weather forecast based air conditioning system, said system comprising:
the acquisition module is used for acquiring current indoor and outdoor temperature and humidity information and weather forecast information in specified time;
the judging module is used for judging the usability of the weather forecast information;
the control module is used for determining the cold load required by the indoor temperature adjustment by utilizing the weather forecast information, enabling the indoor temperature to reach the specified preset parameter within the specified time by adjusting the control strategy of the air conditioning system, and generating a time table,
and the adjusting module is used for setting a sampling time point in advance, detecting outdoor actual temperature information when the sampling time point is in advance, comparing the actual condition of the temperature information with weather information acquired in advance, and determining whether to re-determine the cold load and the preset parameters according to a comparison result.
7. The air conditioning system of claim 6, wherein the adoption module comprises:
the time information acquisition module is used for acquiring the starting time of the air conditioning system and the time required by indoor and outdoor temperature and humidity information acquisition;
the adjusting coefficient determining module is used for determining the time adjusting coefficient of the designated time by utilizing the relation between the starting time of the air conditioning system and the time adjusting coefficient according to the starting time of the air conditioning system;
and the appointed time acquisition module is used for determining the appointed time by utilizing a time adjustment coefficient and combining a time acquisition model.
8. The air conditioning system adjusting method according to claim 7, wherein the relationship between the air conditioning system start-up time and the time adjustment coefficient is as follows:
when the running time of the air conditioning system is between 5:00 and 9:00, the value range of the time adjustment coefficient lambda is as follows: 0.048-0.057;
when the running time of the air conditioning system is 12: 00-15: 00, the value range of the time adjustment coefficient lambda is as follows: 0.058-0.061;
when the running time of the air conditioning system is 17: 00-19: 00, the value range of the time adjustment coefficient lambda is as follows: 0.038-0.052;
when the starting time of the air conditioning system is in other time periods except for 5: 00-9: 00, 12: 00-15: 00 and 17: 00-19: 00, the value range of the time adjusting coefficient lambda is as follows: 0.086-0.095.
9. The air conditioning system of claim 6, wherein the control module comprises:
the change information acquisition module is used for determining the target temperature of indoor temperature adjustment according to the acquired temperature rise and fall change condition in the weather information within the specified time;
the cold load obtaining module is used for determining the cold load required by indoor temperature adjustment according to the target temperature;
the parameter acquisition module is used for acquiring corresponding specified preset parameters required by the air conditioning system according to the indoor required cold load;
and the air conditioning system operation control module is used for adjusting the control strategy of the air conditioning system, controlling each parameter variable of the air conditioning system in advance, enabling each adjusting parameter of the air conditioning system to reach a preset parameter after the specified time, and generating a time table.
10. The air conditioning system of claim 6, wherein the adjustment module comprises:
the sampling time point setting module is used for acquiring and setting a sampling time point in advance;
the outdoor temperature information acquisition module is used for detecting and acquiring outdoor temperature information in real time when the sampling time point corresponding to the specified time is reached, and acquiring the outdoor temperature information corresponding to the sampling time point;
the temperature difference judging module is used for judging whether the difference between the temperature information and the temperature rise and fall change condition obtained in advance exceeds a preset temperature difference threshold value or not;
the resetting module is used for immediately resetting the indoor required cold load and resetting the preset parameters when the difference between the temperature information and the temperature rise and fall change condition acquired in advance exceeds a preset temperature difference threshold value;
and the self-adaptive adjusting module is used for determining the difference of the temperature information and the temperature rise and fall change condition obtained in advance, wherein the difference exceeds the difference threshold of the temperature, and the self-adaptive adjusting module is used for carrying out self-adaptive adjustment on the temperature difference threshold by combining a self-adaptive adjusting model according to the difference.
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