An energy-saving constant temperature dehumidification system for air conditioners

Abstract

The present invention discloses an energy-saving constant temperature dehumidification system for an air conditioner, which relates to the technical field of constant temperature dehumidification and solves the technical problem in the prior art that two models cannot be compared to infer whether the real-time energy consumption in the control stage is normal and targeted adjustments cannot be made. Specifically, the system comprises an environmental model construction unit, which constructs an environmental model for a designated area corresponding to an air-conditioning control center; a control model construction unit, which constructs a control model for the control area, and performs control evaluation on the control area based on the control model construction to infer the control status of each point in the real-time control area; after completing the control model construction, the dynamic control model and the environmental model are sent together to a model comparison module, which performs model comparison after receiving the model, and can detect the real-time control progress through the model comparison.

Description

Technical Field

[0001] The invention relates to the technical field of constant temperature dehumidification, in particular to an energy-saving constant temperature dehumidification system for an air conditioner. Background Art

[0002] The energy-saving air conditioner constant temperature dehumidification system is an air conditioning technology that maintains a stable indoor temperature during the dehumidification process while reducing energy consumption. Its core goal is to solve the problem that traditional dehumidification equipment (such as ordinary air conditioners and dehumidifiers) easily causes the room temperature to drop or energy consumption to be high during dehumidification. It is suitable for scenarios with high requirements for temperature and humidity accuracy (such as archives, electronic workshops, medical facilities, etc.).

[0003] However, in the existing technology, it is impossible to build an environmental model for the area controlled by the air conditioner, and it is impossible to monitor the environmental control efficiency of each point. At the same time, it is impossible to build a control model for the air conditioner and perform control evaluation on the control area. In addition, it is impossible to compare the two models to infer whether the real-time energy consumption during the control stage is normal, and it is impossible to make targeted adjustments.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to provide an energy-saving constant temperature dehumidification system for an air conditioner.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An energy-saving constant temperature dehumidification system for an air conditioner includes an air conditioning control center, wherein the air conditioning control center is communicatively connected to an environment model building unit, a control model building unit, and a model comparison module;

[0008] The environmental model building unit is used to build an environmental model for the designated area corresponding to the air conditioning control center. According to the environmental impact identification of the designated area corresponding to the air conditioning control center, the designated area is divided into points, and the environmental impact caused by the points is classified. After the classification is completed, the environmental model of the designated area is built;

[0009] The control model building unit builds a control model for the control area and performs control evaluation on the control area based on the control model to infer the control status of each point in the real-time control area;

[0010] After the control model is built, the control model and the environment model are sent together to the model comparison module. After receiving the model comparison module, the model comparison is performed. The real-time control progress can be detected through the model comparison.

[0011] As a preferred embodiment of the present invention, the process of the environment model building unit is as follows:

[0012] Mark the designated area of ​​the air conditioning control center as the control area, divide the control area into several sub-areas, divide the corresponding sub-areas into several points, and monitor the temperature of each point. The sub-areas are divided by space, and the points are distributed in an array to fill each sub-area and build an environmental model.

[0013] Monitor the temperature of each point in the sub-area, mark the point where the temperature first rises and cannot be reduced to the temperature before the rise as a hot spot, and mark the point where the temperature fluctuates after the hot spot is generated but does not exceed the floating speed of the hot spot as a warming point;

[0014] And mark the types of heat points and temperature-increasing points in the array distribution points.

[0015] As a preferred embodiment of the present invention, when the temperature of a heating point fluctuates, when the surrounding environment temperature floating control speed increases, the probability decrease span of the corresponding heating point is obtained, and at the same time, the temperature control speed is increased after the heating point is generated, and the spread speed decrease span of the location where the temperature increase point is located is obtained. The probability decrease span of the heating point corresponding to the increase in the surrounding environment temperature floating control speed when the temperature of the heating point fluctuates and the spread speed decrease span of the location where the temperature increase point is located corresponding to the increase in the temperature control speed after the heating point is generated are marked as controllable data and avoidable data, respectively, and are compared with the probability decrease span threshold and the speed decrease span threshold, respectively.

[0016] As a preferred embodiment of the present invention, if the controllable data exceeds the probability drop span threshold, or the avoidable data exceeds the speed drop span threshold, a model risk signal is generated and sent to the air conditioning control center; if the controllable data does not exceed the probability drop span threshold, and the avoidable data does not exceed the speed drop span threshold, a model safety signal is generated and sent to the air conditioning control center.

[0017] As a preferred embodiment of the present invention, the process of controlling the model building unit is as follows:

[0018] According to each point of the environmental model, the air flow trajectory is used as the point control trajectory, and each point of the environmental model is covered according to the point control trajectory. The change of the corresponding point type of the environmental model is obtained within the coverage progress, and a dynamic control model is constructed based on the real-time recorded floating changes of the environmental model;

[0019] The average existence time reduction span of the hot spots in the dynamic control model is obtained, and the average number of warming points around the hot spots in the dynamic control model is also obtained. The average existence time reduction span of the hot spots in the control model and the average number of warming points around the hot spots in the dynamic control model are compared with the time reduction span threshold and the number reduction span threshold, respectively.

[0020] As a preferred embodiment of the present invention, if the average existence time of the hot spots in the dynamic control model decreases by more than the time decrease span threshold, or the average number of temperature-increasing points around the hot spots in the dynamic control model decreases by more than the number decrease span threshold, a trajectory constant control signal is generated and sent to the air conditioning control center;

[0021] If the average existence time of the hot spots in the dynamic control model decreases by less than the duration decrease span threshold, and the average number of warming points around the hot spots in the dynamic control model decreases by less than the number decrease span threshold, a trajectory change control signal is generated and sent to the air conditioning control center.

[0022] As a preferred embodiment of the present invention, the process of model comparison is as follows:

[0023] According to the real-time control progress of the control model, each time node in the control progress is obtained, and the energy consumption in each time node is obtained according to the corresponding point type control period. The node type transformation trend in each control period of the control progress is compared with the energy consumption fluctuation trend: Among them, the node type transformation trend is expressed as a trend of decreasing the number of heat points or a trend of decreasing the speed of temperature increase points;

[0024] The energy consumption fluctuation trend corresponding to each control period is analyzed. If the energy consumption fluctuation trend is an increasing trend, the current control period is marked as a floating energy consumption period; conversely, if the energy consumption fluctuation trend is not an increasing trend, the current control period is marked as a stable energy consumption period.

[0025] As a preferred embodiment of the present invention, trend comparison:

[0026] The reciprocating floating frequency of the node type change trend in the floating energy consumption period is obtained, and the numerical floating span of the node type change trend in the stable energy consumption period is obtained at the same time; and the reciprocating floating frequency of the node type change trend in the floating energy consumption period and the numerical floating span of the node type change trend in the stable energy consumption period are compared with the trend reciprocating floating frequency threshold and the numerical floating span threshold respectively:

[0027] If the reciprocating floating frequency of the node type change trend during the floating energy consumption period exceeds the trend reciprocating floating frequency threshold, or the numerical floating span of the node type change trend during the stable energy consumption period does not exceed the numerical floating span threshold, a control adjustment signal is generated and sent to the air conditioning control center;

[0028] If the reciprocating floating frequency of the node type change trend during the floating energy consumption period does not exceed the trend reciprocating floating frequency threshold, and the numerical floating span of the node type change trend during the stable energy consumption period exceeds the numerical floating span threshold, a control qualification signal is generated and sent to the air conditioning control center.

[0029] As a preferred embodiment of the present invention, after the air-conditioning control center receives the control adjustment signal, it performs energy consumption detection and control on the energy consumption period when the node type transformation trend shows a floating trend within the real-time control period of the control model, and performs energy consumption equipment operation detection on the stable energy consumption period corresponding to when the numerical floating span of the node type transformation trend decreases; and performs equipment operation debugging based on the detection results.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. In the present invention, an environmental model is constructed for the designated area corresponding to the air-conditioning control center. According to the environmental impact identification of the designated area corresponding to the air-conditioning control center, the designated area is divided into points, and classified according to the environmental impact caused by the points. After the classification is completed, the environmental model of the designated area is constructed, which improves the control requirements of the real-time environmental parameters of the designated area. Through model construction, the environmental control efficiency of each point can be monitored, and the source can be traced in time in case of abnormalities, thereby reducing the risk of environmental abnormalities and improving the targetedness of environmental control.

[0032] 2. In the present invention, a control model is constructed for the control area, and a control evaluation is performed on the control area based on the control model to infer the control status of each point in the real-time control area, so as to improve the real-time control efficiency, perform control in time when the control is abnormal, and perform targeted control in the control stage. It is not necessary to perform real-time detection of the control of the entire control area, and control is performed on the point by changing the control model, thereby improving the control efficiency. At the same time, the control model can also evaluate the energy consumption in combination with the control progress, so as to perform targeted management and control of energy consumption, without affecting the control efficiency while minimizing energy consumption.

[0033] 3. In the present invention, model comparison is performed. Through model comparison, the real-time control progress can be detected, and it can be accurately inferred whether the energy consumption of the real-time control progress matches the control progress, so as to make targeted adjustments to ensure ambient temperature control. At the same time, it can also analyze whether it matches to make targeted adjustments to the energy consumption, and regulate the real-time energy consumption under the premise of meeting the control requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0035] Figure 1 This is a system principle block diagram of the present invention;

[0036] Figure 2 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION

[0037] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0038] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0039] See also Figure 1-Figure 2 As shown, an energy-saving air conditioner constant temperature dehumidification system includes an air conditioning control center, wherein the air conditioning control center is communicatively connected to an environment model construction unit and a control model construction unit, and the environment model construction unit and the control model construction unit are communicatively connected to a model comparison module;

[0040] The air conditioning control center is suitable for various scenarios such as industrial processing, factory offices, etc., and controls the temperature and humidity of designated areas to ensure that the environmental parameters of the designated areas are within the set parameter range and improve the work efficiency of the designated areas. This system is centered on the air conditioning control center and uses energy-saving air conditioners to perform constant temperature and dehumidification control.

[0041] The air conditioning control center generates an environmental model building signal and sends it to the environmental model building unit;

[0042] The environmental model construction unit is used to construct an environmental model for the designated area corresponding to the air conditioning control center. Based on the environmental impact identification of the designated area corresponding to the air conditioning control center, the designated area is divided into points, and the environmental impact caused by the points is classified. After the classification is completed, the environmental model is constructed for the designated area, which improves the control requirements of the real-time environmental parameters of the designated area. Through model construction, the environmental control efficiency of each point can be monitored, and the source can be traced in time when an abnormality occurs, reducing the risk of environmental abnormalities and improving the targetedness of environmental control;

[0043] Mark the designated area of ​​the air conditioning control center as the control area, divide the control area into several sub-areas, divide the corresponding sub-areas into several points, and monitor the temperature of each point. The sub-areas are divided by space, and the points are distributed in an array to fill each sub-area and build an environmental model.

[0044] It should be explained that when an object occupies each point in the sub-area, the temperature of the object is monitored; when no object is occupied, the temperature of the environment where the point is located is monitored;

[0045] Monitor the temperature of each point in the sub-area, mark the point where the temperature first rises and cannot be reduced to the temperature before the rise as a hot spot, and mark the point where the temperature fluctuates after the hot spot is generated but does not exceed the floating speed of the hot spot as a warming point;

[0046] And mark the types of heat points and temperature-increasing points in the array distribution points;

[0047] When the temperature of a hot spot fluctuates, if the ambient temperature fluctuation control speed increases, the corresponding probability decrease span of the hot spot is obtained. At the same time, the temperature control speed increases after the hot spot is generated, and the spread speed decrease span at the location of the warming point is obtained. The corresponding probability decrease span of the hot spot generated when the ambient temperature fluctuation control speed increases when the hot spot is temperature fluctuating, and the corresponding spread speed decrease span at the location of the warming point when the temperature control speed increases after the hot spot is generated are marked as controllable data and avoidable data, respectively, and compared with the probability decrease span threshold and speed decrease span threshold, respectively:

[0048] If the surrounding environment temperature fluctuation control speed increases when the temperature of the hot spot fluctuates, and the corresponding probability decrease span of the hot spot generation exceeds the probability decrease span threshold, or if the temperature control speed increases after the hot spot is generated, and the corresponding spread speed decrease span at the location of the temperature increase point exceeds the speed decrease span threshold, it is inferred that there is a risk in the temperature state of the current environment model, and a model risk signal is generated and sent to the air conditioning control center. After receiving the model risk signal, the air conditioning control center performs timely control according to the location of the hot spot and the movement trajectory of the temperature increase point to intercept the temperature spread and control the temperature fluctuation speed;

[0049] If the surrounding environment temperature fluctuation control speed increases when the temperature of the hot spot fluctuates, and the corresponding probability decrease span of the hot spot generation does not exceed the probability decrease span threshold, and the temperature control speed increases after the hot spot is generated, and the corresponding spread speed decrease span at the location of the temperature increase point does not exceed the speed decrease span threshold, then it is inferred that there is no risk in the temperature state of the current environmental model, and a model safety signal is generated and sent to the air conditioning control center;

[0050] The air conditioning control center generates a control model building signal and sends it to the control model building unit;

[0051] After receiving the control model building signal, the control model building unit builds a control model for the control area, and performs control evaluation on the control area based on the control model to infer the control status of each point in the real-time control area, so as to improve the real-time control efficiency, and timely control when the control is abnormal. In addition, targeted control can be performed in the control stage, and there is no need to perform real-time detection of the control of the entire control area. In addition, control is performed on the point by changing the control model, thereby improving the control efficiency. At the same time, the control model can also evaluate the energy consumption in combination with the control progress, so as to carry out targeted control of energy consumption, without affecting the control efficiency while minimizing energy consumption.

[0052] According to each point of the environmental model, the air flow trajectory is used as the point control trajectory, and each point of the environmental model is covered according to the point control trajectory. The change of the corresponding point type of the environmental model is obtained within the coverage progress, and a dynamic control model is constructed based on the real-time recorded floating changes of the environmental model;

[0053] Obtain the average duration reduction span of the hot spots in the dynamic control model, and at the same time obtain the average duration reduction span of the number of warming points around the hot spots in the dynamic control model. Compare the average duration reduction span of the hot spots in the control model and the average duration reduction span of the number of warming points around the hot spots in the dynamic control model with the duration reduction span threshold and the number reduction span threshold, respectively:

[0054] If the average duration of a hot spot in the dynamic control model decreases by more than the duration decrease span threshold, or the average number of warming points around the hot spot in the dynamic control model decreases by more than the number decrease span threshold, it is inferred that the environmental control in the dynamic control model is effective, and a trajectory constant control signal is generated and sent to the air conditioning control center. After receiving the signal, the air conditioning control center performs constant control based on the current point control trajectory.

[0055] If the average duration of the hot spots in the dynamic control model decreases by less than the duration decrease span threshold, and the average number of temperature-increasing points around the hot spots in the dynamic control model decreases by less than the number decrease span threshold, it is inferred that the environmental control in the dynamic control model has not produced any effect, and a trajectory change control signal is generated and sent to the air conditioning control center. After receiving the signal, the air conditioning control center uses the already set point control trajectory as a correction standard to adjust the trajectory to change the control trajectory and improve the temperature control efficiency of each point in the environmental model.

[0056] After the control model is built, the control model and the environmental model are sent together to the model comparison module. After receiving the model comparison module, the model comparison is performed. Through the model comparison, the real-time control progress can be detected, and the energy consumption of the real-time control progress can be accurately inferred to match the control progress, so as to make targeted adjustments to ensure the control of the ambient temperature. At the same time, the energy consumption can be adjusted in a targeted manner based on the analysis of whether it matches, and the real-time energy consumption can be regulated under the premise of meeting the control requirements.

[0057] According to the real-time control progress of the control model, each time node in the control progress is obtained, and the energy consumption in each time node is obtained according to the corresponding point type control period. The node type transformation trend in each control period of the control progress is compared with the energy consumption fluctuation trend: Among them, the node type transformation trend is expressed as a trend of decreasing the number of heat points or a trend of decreasing the speed of temperature increase points;

[0058] Analyze the energy consumption fluctuation trend of each control period. If the energy consumption fluctuation trend is an increasing trend, the current control period is marked as a floating energy consumption period. On the contrary, if the energy consumption fluctuation trend is not an increasing trend, the current control period is marked as a stable energy consumption period.

[0059] Trend comparison: Obtain the reciprocating floating frequency of the node type change trend during the floating energy consumption period, and at the same time obtain the numerical floating span of the node type change trend during the stable energy consumption period. The numerical floating span is expressed as the span of reducing the number of hot spots or the span of reducing the speed of temperature increase points.

[0060] The reciprocating floating frequency of the node type change trend during the floating energy consumption period and the numerical floating span of the node type change trend during the stable energy consumption period are compared with the trend reciprocating floating frequency threshold and the numerical floating span threshold respectively:

[0061] If the reciprocating floating frequency of the node type change trend within the floating energy consumption period exceeds the trend reciprocating floating frequency threshold, or the numerical floating span of the node type change trend within the stable energy consumption period does not exceed the numerical floating span threshold, it is inferred that the energy consumption corresponding to the real-time control progress of the control model does not match the regional environmental control, and a control adjustment signal is generated and sent to the air-conditioning control center. After receiving the signal, the air-conditioning control center performs energy consumption detection and control on the energy consumption period in which the node type change trend shows a floating trend within the real-time control period of the control model, and performs energy consumption equipment operation detection on the stable energy consumption period corresponding to when the numerical floating span of the node type change trend decreases; and performs equipment operation debugging based on the detection results;

[0062] If the reciprocating floating frequency of the node type change trend within the floating energy consumption period does not exceed the trend reciprocating floating frequency threshold, and the numerical floating span of the node type change trend within the stable energy consumption period exceeds the numerical floating span threshold, then it is inferred that the energy consumption corresponding to the real-time control progress of the control model matches the regional environmental control, and a control qualification signal is generated and sent to the air-conditioning control center.

[0063] When the present invention is in use, the environmental model construction unit is used to construct an environmental model for the designated area corresponding to the air-conditioning control center, divide the designated area into points according to the environmental impact identification of the designated area corresponding to the air-conditioning control center, and classify the points according to the environmental impact caused by the points. After the classification is completed, the environmental model is constructed for the designated area; the control model construction unit constructs a control model for the control area, and performs control evaluation on the control area according to the control model to infer the control status of each point in the real-time control area; after the control model construction is completed, the control model and the environmental model are sent together to the model comparison module. After receiving the model, the model comparison module performs model comparison, and the real-time control progress can be detected through the model comparison.

[0064] Thresholds, preset values, and preset ranges are set for comparative analysis of results to determine whether they are good or bad. The values ​​are set based on a combination of large-scale model analysis of sample data and manual experience, and can also be adjusted appropriately based on seasonal or common-sense factors.

[0065] The settings of weight ratio coefficients, influencing factors, etc. are assigned specific values ​​according to the influence of each parameter on the result, which ultimately reflects the impact on the result. They are also set and entered into storage through a combination of large-scale model analysis of sample data and manual experience. Appropriate adjustments can also be made based on seasonal or common-sense influencing conditions.

[0066] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An energy-saving air conditioner constant temperature dehumidification system, characterized in that: The air conditioning control center includes an environment model building unit, a control model building unit, and a model comparison module. The environmental model building unit is used to build an environmental model for the designated area corresponding to the air conditioning control center. Based on the environmental impact identification of the designated area corresponding to the air conditioning control center, the designated area is divided into points, and the environmental impact caused by the points is classified. After the classification is completed, the environmental model of the designated area is built. The process of the environmental model building unit is as follows: Mark the designated area of ​​the air conditioning control center as the control area, divide the control area into several sub-areas, divide the corresponding sub-areas into several points, and monitor the temperature of each point. The sub-areas are divided by space, and the points are distributed in an array to fill each sub-area and build an environmental model. Monitor the temperature of each point in the sub-area, mark the point where the temperature first rises and cannot be reduced to the temperature before the rise as a hot spot, and mark the point where the temperature fluctuates after the hot spot is generated but does not exceed the floating speed of the hot spot as a warming point; And mark the types of heat points and temperature-increasing points in the array distribution points; The control model building unit builds a control model for the control area and performs control evaluation on the control area based on the control model to infer the control status of each point in the real-time control area. The process of the control model building unit is as follows: According to each point of the environmental model, the air flow trajectory is used as the point control trajectory, and each point of the environmental model is covered according to the point control trajectory. The change of the corresponding point type of the environmental model is obtained within the coverage progress, and a dynamic control model is constructed based on the real-time recorded floating changes of the environmental model; Obtain the average duration reduction span of the hot spots in the dynamic control model, and at the same time obtain the average duration reduction span of the number of warming points around the hot spots in the dynamic control model, and compare the average duration reduction span of the hot spots in the control model and the average duration reduction span of the number of warming points around the hot spots in the dynamic control model with the duration reduction span threshold and the number reduction span threshold, respectively; After the control model is built, the control model and the environment model are sent to the model comparison module. After receiving the model comparison module, the model comparison is performed. The real-time control progress can be detected through model comparison. The model comparison process is as follows: According to the real-time control progress of the control model, each time node in the control progress is obtained, and the energy consumption in each time node is obtained according to the corresponding point type control period. The node type transformation trend in each control period of the control progress is compared with the energy consumption fluctuation trend: Among them, the node type transformation trend is expressed as a trend of decreasing the number of heat points or a trend of decreasing the speed of temperature increase points; The energy consumption fluctuation trend corresponding to each control period is analyzed. If the energy consumption fluctuation trend is an increasing trend, the current control period is marked as a floating energy consumption period; conversely, if the energy consumption fluctuation trend is not an increasing trend, the current control period is marked as a stable energy consumption period.

2. The energy-saving constant temperature dehumidification system for air conditioner according to claim 1, characterized in that: When the temperature of a hot spot fluctuates, when the surrounding environment temperature fluctuation control speed increases, the corresponding probability decrease span of the hot spot is obtained. At the same time, the temperature control speed increases after the hot spot is generated, and the spread speed decrease span at the location of the warming point is obtained. The corresponding probability decrease span of the hot spot generation when the surrounding environment temperature fluctuation control speed increases when the hot spot is temperature fluctuating, and the corresponding spread speed decrease span at the location of the warming point when the temperature control speed increases after the hot spot is generated are marked as controllable data and avoidable data, respectively, and are compared with the probability decrease span threshold and the speed decrease span threshold, respectively.

3. The energy-saving constant temperature dehumidification system for air conditioner according to claim 2, characterized in that: If the controllable data exceeds the probability drop span threshold, or the avoidable data exceeds the speed drop span threshold, a model risk signal is generated and sent to the air conditioning control center; if the controllable data does not exceed the probability drop span threshold, and the avoidable data does not exceed the speed drop span threshold, a model safety signal is generated and sent to the air conditioning control center.

4. The energy-saving constant temperature dehumidification system for air conditioner according to claim 3, characterized in that: If the average duration of a hot spot in the dynamic control model decreases by more than the duration decrease span threshold, or the average number of warming points around the hot spot in the dynamic control model decreases by more than the number decrease span threshold, a trajectory constant control signal is generated and sent to the air conditioning control center. If the average existence time of the hot spots in the dynamic control model decreases by less than the duration decrease span threshold, and the average number of warming points around the hot spots in the dynamic control model decreases by less than the number decrease span threshold, a trajectory change control signal is generated and sent to the air conditioning control center.

5. The energy-saving constant temperature dehumidification system for air conditioner according to claim 4, characterized in that: Trend comparison: The reciprocating floating frequency of the node type change trend in the floating energy consumption period is obtained, and the numerical floating span of the node type change trend in the stable energy consumption period is obtained at the same time; and the reciprocating floating frequency of the node type change trend in the floating energy consumption period and the numerical floating span of the node type change trend in the stable energy consumption period are compared with the trend reciprocating floating frequency threshold and the numerical floating span threshold respectively: If the reciprocating floating frequency of the node type change trend during the floating energy consumption period exceeds the trend reciprocating floating frequency threshold, or the numerical floating span of the node type change trend during the stable energy consumption period does not exceed the numerical floating span threshold, a control adjustment signal is generated and sent to the air conditioning control center; If the reciprocating floating frequency of the node type change trend during the floating energy consumption period does not exceed the trend reciprocating floating frequency threshold, and the numerical floating span of the node type change trend during the stable energy consumption period exceeds the numerical floating span threshold, a control qualification signal is generated and sent to the air conditioning control center.

6. The energy-saving constant temperature dehumidification system for air conditioner according to claim 5, characterized in that: After receiving the control adjustment signal, the air conditioning control center performs energy consumption detection and control on the energy consumption period when the node type transformation trend shows a floating trend within the real-time control period of the control model, and performs energy consumption equipment operation detection on the stable energy consumption period corresponding to when the numerical floating span of the node type transformation trend decreases; and performs equipment operation debugging based on the detection results.

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