Multi-area monitoring dehumidification frequency conversion control system based on indoor swimming pool

Abstract

The invention relates to a multi-area monitoring dehumidification frequency conversion control system based on an indoor swimming pool, and the system employs an interpolation method to process the temperature and humidity of each sub-area, and obtains the indoor temperature and humidity spatial distribution of the swimming pool. Setting a temperature and humidity target of each sub-region, and adjusting the temperature and humidity of each sub-region according to the temperature and humidity target; a high-definition camera is used for obtaining dynamic distribution of personnel in the swimming pool after temperature and humidity adjustment, the suitability degree of each sub-area is determined according to the dynamic distribution of the personnel, and the overall suitable temperature and humidity in the swimming pool are obtained after accumulation; and performing temperature and humidity control according to the relationship between the frequency conversion parameters and the overall suitable temperature and humidity. The problems that in the prior art, it is difficult to obtain the temperature and humidity space distribution in the swimming pool to adjust the temperature and humidity of all areas, it is difficult to judge the overall proper temperature and humidity in the swimming pool according to hobbies of people, and consequently temperature and humidity control is inaccurate are solved.

Description

Technical Field

[0001] The invention belongs to the technical field of indoor dehumidification, and relates to a multi-zone monitoring dehumidification frequency conversion control system based on an indoor swimming pool. Background Art

[0002] In modern life, indoor swimming pools are becoming a popular place for people to relax and exercise, and are increasingly attracting widespread attention. However, their special environmental characteristics bring many challenges, especially the precise control of humidity and temperature. Due to the continuous evaporation of the swimming pool surface, the indoor air humidity is very likely to remain high, and different areas, such as the swimming pool area, the audience area, and the locker room, have different comfort requirements for temperature and humidity. Traditional control methods often cannot take into account the precise adjustment of various areas at the same time, which leads to a series of disadvantages such as energy waste, poor environmental comfort, and easy damage to equipment due to humidity problems.

[0003] It is difficult to obtain the spatial distribution of temperature and humidity in the swimming pool room and adjust the temperature and humidity in each area in the prior art. In addition, it is difficult to judge the comfort index of the overall temperature and humidity in the swimming pool room according to people's preferences in the prior art, resulting in inaccurate temperature and humidity control. Summary of the invention

[0004] The present invention provides a multi-zone monitoring dehumidification frequency conversion control system based on an indoor swimming pool, which aims to use the interpolation method to process the temperature and humidity of each sub-zone to obtain the spatial distribution of temperature and humidity in the swimming pool; set the temperature and humidity targets of each sub-zone for adjustment; and use a high-definition camera to obtain the dynamic distribution of people in the swimming pool after the temperature and humidity are adjusted to characterize people's preferences for temperature and humidity, so as to accurately control the temperature and humidity in the swimming pool.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The present application provides a multi-zone monitoring dehumidification variable frequency control system based on an indoor swimming pool, including a variable frequency wind module, a refrigerant module and an electric control module, wherein the variable frequency wind module, the refrigerant module and the electric control module are communicatively connected, wherein:

[0007] The variable frequency wind module is composed of a cold bridge prevention box, a variable frequency centrifugal supply fan, a variable frequency centrifugal return fan and an air valve, and is used to draw indoor air into the dehumidification heat pump box through the air duct, and send the treated air back to the room through the supply fan;

[0008] The refrigerant module is composed of a variable frequency compressor, an evaporator, a reheat condenser, an outdoor condenser, a titanium bulb, a liquid storage tank, an electronic expansion valve, a dry filter and a copper tube, and is used to dehumidify and cool the indoor air or dehumidify and heat the indoor air;

[0009] The electric control module is composed of a control panel, a main control board, a variable frequency drive module, a plurality of contactors and a plurality of temperature and humidity sensors, and is used to automatically control the variable frequency centrifugal return air fan and the variable frequency compressor according to the temperature and humidity of different areas in the swimming pool, including:

[0010] Divide the indoor area of ​​the swimming pool into several sub-areas, and use temperature and humidity sensors to monitor the temperature and humidity of each sub-area;

[0011] The temperature and humidity of each sub-area are processed by interpolation method to obtain the spatial distribution of temperature and humidity in the swimming pool;

[0012] Setting temperature and humidity targets for each sub-area, and adjusting the temperature and humidity for each sub-area according to the temperature and humidity targets;

[0013] Using a high-definition camera to obtain the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity, and determining the suitability of each sub-area according to the dynamic distribution of people;

[0014] Calculate the overall suitable temperature and humidity in the swimming pool according to the suitability of each sub-area;

[0015] quantifying the response relationship between the variable frequency parameters of the variable frequency centrifugal return fan and the variable frequency compressor and the overall suitable temperature and humidity through a generalized additive model;

[0016] According to the response relationship, the frequency conversion parameters are controlled so that the overall suitable temperature and humidity in the swimming pool room are maintained above a preset threshold value.

[0017] Furthermore, the interpolation method is calculated as follows:

[0018]

[0019]

[0020] Where, T p represents the temperature and humidity at a certain point p in the indoor space of the swimming pool; T i represents the temperature and humidity of the i-th sub-area, n is the number of sub-areas; w i represents the distance weight of the i-th sub-region; D p Represents the Euclidean distance from point p to the monitoring point in the i-th sub-region.

[0021] Furthermore, the method of using a high-definition camera to obtain the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity, and determining the suitability of each sub-area according to the dynamic distribution of people, includes the following steps:

[0022] Real-time image acquisition: The image information of each sub-area of ​​the indoor swimming pool is collected by a high-definition camera according to pre-configured parameters, the actual scene is converted into a digital image signal, and the collected image data is transmitted to the back-end image processing server through wired or wireless communication;

[0023] Preprocessing the image data, including image format unification and normalization, as well as noise removal and enhancement processing;

[0024] Personnel detection and identification: Use computer vision technology to extract personnel features from pre-processed images and output the position information of personnel in each sub-area of ​​the image;

[0025] Personnel tracking and trajectory construction: Based on the results of personnel detection, the personnel tracking algorithm is used to associate the same person in multiple consecutive frames of images and construct a continuous movement trajectory of the person;

[0026] Extraction of dynamic distribution features of personnel: Extract key indicators that can reflect the dynamic distribution of personnel in each sub-area from the constructed personnel movement trajectory and related location and time information, and collect and organize the key indicators to form a dynamic distribution data set of personnel that changes over time; the key indicators include the real-time number of personnel in each sub-area, the average length of stay of personnel, the frequency of personnel entry and exit, and the degree of personnel aggregation;

[0027] Determination of suitability of sub-regions: cluster analysis method is used to divide the key indicator data set into several clusters; the suitability levels are numbered according to the numerical range of the key indicators of the clusters; and the suitability level of each sub-region is determined.

[0028] Furthermore, the personnel feature extraction includes extracting edge features, texture features and high-level semantic features of the personnel based on a deep learning model.

[0029] Furthermore, the personnel tracking algorithm is configured as a multi-target tracking method based on Kalman filtering combined with the Hungarian algorithm or a DeepSORT algorithm based on deep learning.

[0030] Furthermore, the cluster analysis method is configured as a K-means clustering method, including: data preparation, collecting and organizing dynamic key indicator data of personnel in each sub-area, and performing standardization processing; determining the number of clusters; randomly selecting the initial cluster center, iteratively updating the cluster center and allocating samples until convergence, and finally completing the cluster analysis.

[0031] Furthermore, the overall suitable temperature and humidity are calculated as follows:

[0032] S z =S 1 +S 2 +...+Sn ,

[0033] In the formula, S z Indicates the overall suitable temperature and humidity; S 1 , S 2 , …, S n is the suitability of each sub-region, and n is the number of sub-regions.

[0034] Furthermore, the generalized additive model includes the following construction steps:

[0035] Determine model parameters: determine model parameters according to data characteristics, the model parameters include distribution family form, smooth function and node number, the distribution family form is configured as Poisson distribution, the smooth function is configured as cubic spline function, and the node number is configured as half of the sample number;

[0036] Model optimization: Use the test set to evaluate the model's prediction results on fitness, and optimize the model parameters according to the prediction results until they are within the preset error range.

[0037] Furthermore, the step of controlling the frequency conversion parameters according to the response relationship so that the overall suitable temperature and humidity in the swimming pool room is maintained above a preset threshold value comprises the following steps:

[0038] Visualize the response relationship between the frequency conversion parameters and the overall suitable temperature and humidity by fitting the response relationship curve of the generalized additive model

[0039] When the overall suitable temperature and humidity in the swimming pool room is lower than a preset threshold, abnormal frequency conversion parameters that are not within the overall suitable temperature and humidity threshold range in the response relationship curve are determined;

[0040] The abnormal frequency conversion parameters are adjusted until the overall suitable temperature and humidity remain above the preset threshold.

[0041] Beneficial effects of the present invention:

[0042] The temperature and humidity of each sub-area are processed by interpolation method to obtain the spatial distribution of temperature and humidity in the swimming pool; the temperature and humidity targets of each sub-area are set, and the temperature and humidity of each sub-area are adjusted according to the temperature and humidity targets; the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity is obtained by using a high-definition camera, and the suitability of each sub-area is determined according to the dynamic distribution of people, and the overall suitable temperature and humidity of the swimming pool is obtained after accumulation; the temperature and humidity are controlled according to the relationship between the frequency conversion parameters and the overall suitable temperature and humidity. The present invention solves the problem that it is difficult to obtain the spatial distribution of temperature and humidity in the swimming pool to adjust the temperature and humidity of each area in the prior art, and it is difficult to judge the overall suitable temperature and humidity of the swimming pool according to people's preferences, resulting in inaccurate temperature and humidity control. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0044] Figure 1 It is a structural diagram of a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool in the present invention.

[0045] Figure 2 This is a flow chart of automatically controlling a variable frequency centrifugal return air fan and a variable frequency compressor according to the temperature and humidity in different areas of a swimming pool in one embodiment of the present invention.

[0046] Figure 3 This is a flow chart of using a high-definition camera to obtain the dynamic distribution of people in a swimming pool after adjusting the temperature and humidity in one embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.

[0048] See also Figure 1-Figure 3 The present application provides a multi-zone monitoring and dehumidification variable frequency control system based on an indoor swimming pool, including a variable frequency wind module, a refrigerant module and an electric control module, wherein the variable frequency wind module, the refrigerant module and the electric control module are communicatively connected, wherein:

[0049] The variable frequency wind module is composed of a cold bridge prevention box, a variable frequency centrifugal supply fan, a variable frequency centrifugal return fan and an air valve, and is used to draw indoor air into the dehumidification heat pump box through the air duct, and send the treated air back to the room through the supply fan;

[0050] In this embodiment, the core components of the variable frequency wind module include an anti-cold bridge box, a variable frequency centrifugal supply fan, a variable frequency centrifugal return fan, and an air valve. The anti-cold bridge box can effectively avoid condensation and cold bridge phenomena caused by the large temperature difference between the inside and outside, ensure the normal operation of the entire module, reduce energy loss, and create a good and stable working environment for the internal equipment.

[0051] The variable frequency centrifugal supply fan and variable frequency centrifugal return fan are the "power engines" of air flow. The return fan is responsible for extracting air from various parts of the room into the dehumidification heat pump box through the air duct, which allows the air to be treated to continuously enter the core area of ​​the system, providing a basis for subsequent dehumidification, temperature control and other treatments. After a series of fine treatments such as dehumidification and cooling or dehumidification and heating of the air by the refrigerant module, the variable frequency centrifugal supply fan begins to play a role. It sends the air that has met the preset environmental requirements back to the room, ensuring that each area of ​​the room can maintain a suitable temperature and humidity range, creating a comfortable use environment for the indoor swimming pool.

[0052] The presence of the air valve further enhances the controllability of the entire air circulation system. By adjusting the opening of the air valve, the air volume and air flow direction in different areas can be flexibly controlled. Combined with the frequency conversion function of the supply fan and return fan, according to the actual indoor temperature and humidity conditions and the usage requirements of different areas, the efficient circulation and reasonable distribution of air can be accurately achieved, so that the air environment of the entire indoor swimming pool is always kept in an ideal state.

[0053] The refrigerant module is composed of a variable frequency compressor, an evaporator, a reheat condenser, an outdoor condenser, a titanium bulb, a liquid storage tank, an electronic expansion valve, a dry filter and a copper tube, and is used to dehumidify and cool the indoor air or dehumidify and heat the indoor air;

[0054] In this embodiment, the refrigerant module, as the core functional unit, undertakes the key task of dehumidifying and cooling or dehumidifying and heating the indoor air. Its components include variable frequency compressor, evaporator, reheat condenser, outdoor condenser, titanium bulb, liquid storage tank, electronic expansion valve, dry filter and copper tube. Through the complex and orderly synergy between the components, precise control of the entire thermal process is achieved.

[0055] As the power core of the refrigerant circulation system, the variable frequency compressor dynamically adjusts the operating frequency according to the system's control instructions, and then accurately controls the pressure and flow of the refrigerant, providing a continuous and variable driving force for the entire refrigerant cycle. From a thermodynamic point of view, the change in its operating frequency directly affects the change in the state parameters of the refrigerant, and determines the intensity and efficiency of the subsequent heat exchange process. This enables the system to flexibly adapt to the corresponding working state according to the temperature and humidity data monitored in real time in various areas of the indoor swimming pool to meet the diverse environmental adjustment needs.

[0056] The evaporator plays a key role in the heat exchange process and is a key link in achieving dehumidification and cooling. Based on the principle of heat and mass transfer, the hot and humid air in the room exchanges heat with the low-temperature refrigerant in the evaporator. The heat of the air is absorbed by the refrigerant, causing the air temperature to drop. At the same time, the water vapor in the air condenses and precipitates after reaching the dew point temperature on the low-temperature surface, realizing the physical process of dehumidification, thereby reducing the moisture content of the air and achieving the effect of dehumidifying and cooling the air.

[0057] The reheat condenser plays an indispensable role under specific working conditions, that is, when dehumidification and heating are required. With the help of the heat carried by the high-temperature and high-pressure refrigerant discharged by the compressor, the reheat condenser transfers the heat to the dehumidified air through heat conduction, causing the air temperature to rise to the set appropriate range. Through this process, the coordinated regulation of dehumidification and heating is cleverly achieved, ensuring that the indoor air maintains a comfortable temperature level while reducing the humidity.

[0058] The outdoor condenser is mainly responsible for maintaining the thermal balance of the entire refrigerant circulation system. By exchanging heat with the outdoor environment, it releases excess heat inside the system to the external environment, ensuring that the refrigerant can continue to maintain a stable thermodynamic state during the circulation process, ensuring the stable operation of the system and the orderly progress of each heat exchange process.

[0059] As a key component adapted to the special environment of indoor swimming pools, titanium bubbles ensure a stable and efficient heat exchange process between the refrigerant and other media in the specific link of the refrigerant circulation due to their excellent corrosion resistance, good thermal conductivity and other characteristics, providing a strong guarantee for the reliable operation of the entire system in a high humidity environment.

[0060] The setting of the liquid receiver is to ensure sufficient supply of refrigerant under different working conditions. By storing a certain amount of refrigerant, it effectively avoids the problem of insufficient or excessive refrigerant caused by factors such as changes in system load, and maintains the stability and continuity of the refrigerant circulation system.

[0061] As a key component for accurately controlling the refrigerant flow, the electronic expansion valve is based on thermal control theory and the real-time needs of the system. By accurately adjusting its opening, it can achieve subtle and precise control of the refrigerant flow, thereby accurately regulating the degree of cooling or heating, laying the foundation for achieving precise regulation of air temperature and humidity.

[0062] The filter drier plays an important role in maintaining the healthy operation of the entire refrigerant module. It effectively removes moisture, impurities and possible tiny particles contained in the refrigerant through physical or chemical adsorption, etc., to prevent these substances from causing adverse phenomena such as ice blockage, pipeline corrosion and blockage of throttling elements during the refrigerant circulation process, thereby ensuring the normal operation of the refrigerant circulation system and the stable performance of each component.

[0063] Copper tubes, as the refrigerant transport carrier, rely on their excellent thermal conductivity, good plasticity and high sealing properties to build a refrigerant circulation network that is closely connected between the components, ensuring the smooth circulation of the refrigerant in the entire module, allowing the heat exchange process between the components to be connected in an orderly manner, and collaboratively completing the dehumidification and cooling or dehumidification and heating of the indoor air.

[0064] The electric control module is composed of a control panel, a main control board, a variable frequency drive module, a plurality of contactors and a plurality of temperature and humidity sensors, and is used to automatically control the variable frequency centrifugal return air fan and the variable frequency compressor according to the temperature and humidity of different areas in the swimming pool room;

[0065] In this embodiment, the electronic control module occupies the core control hub position. It integrates key components such as the control panel, the main control board, the frequency conversion drive module, several contactors and several temperature and humidity sensors, and together constructs a highly intelligent and refined automatic control system, which aims to accurately respond to the temperature and humidity changes in different areas of the swimming pool room, and then implement scientific and efficient automatic control of the frequency conversion centrifugal return fan and frequency conversion compressor to ensure that the indoor temperature and humidity always meet the preset ideal state and meet the heat and humidity regulation needs in complex environments.

[0066] As the key interface for interaction between the system and the operator, the control panel is designed in accordance with the principles of human-computer interaction engineering, and has the characteristics of intuitiveness, ease of use, and versatility. It not only provides operators with a convenient operation window for accurately setting the target parameter values ​​of temperature and humidity in each area of ​​the indoor swimming pool, but also can display the monitoring data of temperature and humidity in each area and the operating status information of the entire system in real time. From the academic perspective of information visualization and interactive design, its interface layout, operation logic, and data presentation method have been carefully considered to ensure that users can efficiently and accurately complete system parameter configuration, operation monitoring, troubleshooting and other operational tasks, thereby achieving seamless connection between people and control systems and meeting diverse actual management needs.

[0067] As the core control unit of the electronic control module, the main control board deeply integrates theories and technologies from multiple disciplines, including control theory, signal processing, computer science, etc. It is responsible for receiving real-time environmental data collected and transmitted by temperature and humidity sensors scattered in various key areas of the indoor swimming pool. Based on the principles of thermal and hygroscopic science and advanced sensing technology, these sensors can convert the physical quantities of temperature and humidity in the environment into corresponding electrical signals with high precision and reliability, and then feed them back to the main control board. The main control board uses complex algorithms to deeply process and analyze the massive and multi-source data obtained. Such algorithms are usually based on classical control theories (such as PID control, optimal control, etc.), modern intelligent control methods (such as fuzzy control, neural network control, etc.) and advanced data fusion technology. By building a rigorous mathematical model or a sophisticated rule base, it comprehensively considers many factors such as the instantaneous value, rate of change, spatiotemporal correlation of temperature and humidity in each area, and the dynamic balance of the overall environment, and then accurately judges the subtle differences between the overall indoor environmental state and the local area. Based on this comprehensive and in-depth analysis result, the main control board generates precise control instructions in strict accordance with the preset optimization control strategy, provides a clear action guide for subsequent actuators, and drives the entire system to dynamically adjust towards the goal of maintaining a stable and comfortable indoor environment.

[0068] The variable frequency drive module plays a key role in the entire electronic control system. It is the key link between the main control board and the two core power devices, the variable frequency centrifugal return fan and the variable frequency compressor. Its operating mechanism is deeply rooted in power electronics and motor control theory. According to the precise control instructions issued by the main control board, the variable frequency drive module uses advanced power electronic conversion technology to accurately convert the input power supply signal, transform the voltage and waveform modulation, generate a drive power supply signal suitable for the motor characteristics of the variable frequency centrifugal return fan and the variable frequency compressor, and output it to the corresponding motor end, so as to achieve high-precision linear control of the motor speed and output power. From the academic level of motor science and electric power transmission, this drive mode based on variable frequency technology can enable the equipment to flexibly and accurately adjust the working state according to the heat and humidity load requirements of the actual environment, effectively avoiding the problems of energy waste and insufficient adjustment accuracy of traditional fixed frequency equipment under some working conditions, achieving the goal of energy saving, high efficiency and precise control of air circulation volume and refrigerant circulation intensity, and laying a solid power foundation for the refined adjustment of the indoor swimming pool environment.

[0069] As an indispensable electrical actuator in the electronic control module, the contactor plays a vital role in the circuit control of the entire system based on the principles of electromagnetics and electrical control theory. Based on the instructions issued by the main control board, multiple contactors systematically implement the on-off control of different circuit branches, strictly control the access and exit timing of various electrical equipment during the operation of the system, and ensure the safety, stability of the entire electrical system and the orderliness of the coordinated work between various components. In a complex circuit topology, the reliable action of the contactor can effectively prevent the occurrence of circuit failures, such as short circuits, overloads, etc., and at the same time ensure that different devices operate in a predetermined logical order and time sequence, avoiding system abnormalities caused by unreasonable electrical connections or equipment start-stop sequences, thereby providing solid electrical protection for the stable operation of the entire system.

[0070] The automatic control of the variable frequency centrifugal return fan and the variable frequency compressor according to the temperature and humidity of different areas in the swimming pool room includes:

[0071] S1. Divide the indoor area of ​​the swimming pool into several sub-areas, and use temperature and humidity sensors to monitor the temperature and humidity of each sub-area;

[0072] In this embodiment, the indoor space of the swimming pool has the characteristics of functional diversity and environmental complexity. In order to achieve accurate temperature and humidity monitoring and subsequent effective control and adjustment, it needs to be divided into several sub-areas based on scientific and reasonable principles. From the perspective of spatial function, it can usually be divided into different functional areas such as above the swimming pool surface, audience area, locker room, shower room, rest area and equipment room, because these areas have obvious differences in temperature and humidity generation mechanism, human comfort requirements and impact on the overall environment. For example, due to the continuous evaporation of water above the surface of the swimming pool, a large amount of water vapor is released, the humidity is very easy to rise and fluctuate frequently, and the dehumidification requirements are relatively strict; the audience area is mainly concerned with the comfort of the human body during the viewing activities, and the temperature and humidity need to be maintained in a range suitable for viewing and staying; due to the frequent entry and exit of people and the changing of clothes in the locker room and shower room, humidity control is crucial to prevent bacterial growth and keep the air fresh; the rest area is more focused on creating a quiet and comfortable resting atmosphere, and the temperature and humidity must be in line with the physical needs of the human body in a relaxed state; although the equipment room does not directly serve personnel activities, the equipment in the room has specific requirements for the temperature and humidity environment to ensure its stable operation and extend its service life.

[0073] S2, using the interpolation method to process the temperature and humidity of each sub-area to obtain the spatial distribution of temperature and humidity in the swimming pool;

[0074] Furthermore, the interpolation method is calculated as follows:

[0075]

[0076] Where, T p represents the temperature and humidity at a certain point p in the indoor space of the swimming pool; T i represents the temperature and humidity of the i-th sub-area, n is the number of sub-areas; w i represents the distance weight of the i-th sub-region; D p Represents the Euclidean distance from point p to the monitoring point in the i-th sub-region.

[0077] S3, setting temperature and humidity targets for each sub-area, and adjusting the temperature and humidity for each sub-area according to the temperature and humidity targets;

[0078] In this embodiment, setting the temperature and humidity targets for each sub-area is an important step in achieving personalized environmental control. The setting of this target needs to comprehensively consider multiple factors such as human comfort, swimming pool operation requirements, and relevant environmental standards. According to the functional characteristics of different sub-areas, the appropriate temperature and humidity ranges are determined respectively. For example, above the surface of the swimming pool, more emphasis may be placed on humidity control to avoid excessive accumulation of water vapor, while the locker room needs to take into account the temperature and humidity balance to prevent the breeding of bacteria. Subsequently, according to the set temperature and humidity targets, the system specifically adjusts the temperature and humidity of each sub-area, generates corresponding control instructions through the main control board according to the built-in control algorithm, drives the variable frequency centrifugal return fan and variable frequency compressor and other equipment to work together, and changes the air circulation and refrigerant circulation status, so as to gradually achieve the temperature and humidity of each sub-area approaching the target value, and meet the local environmental comfort and functional requirements.

[0079] S4. Using a high-definition camera to obtain the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity, and determining the suitability of each sub-area according to the dynamic distribution of people;

[0080] In this embodiment, the use of high-definition cameras to obtain the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity, and to determine the suitability of each sub-area based on this, is a key link in achieving refined and humanized environmental control. With its high-precision imaging capabilities and wide viewing angle coverage, high-definition cameras are carefully arranged at various key locations in the indoor swimming pool to ensure that real-time images of each indoor sub-area can be captured without blind spots. These cameras continuously collect image information at a preset frame rate, and the massive image data obtained is then transmitted to a dedicated image processing system via wired or wireless transmission.

[0081] In the image processing system, in-depth analysis is carried out based on advanced computer vision technology. First, the target detection algorithm is used to accurately identify the individuals in the image and distinguish the location information of different individuals in each sub-area. Then, with the help of the target tracking algorithm, the movement trajectory of the personnel is continuously tracked, so as to clearly grasp the dynamic situation of the personnel in each sub-area in different time periods, such as the length of stay, activity range, and frequency of entry and exit. Through these detailed analyses, a complete and real-time updated dynamic distribution map of indoor personnel can be constructed.

[0082] The suitability of each sub-area is determined based on such dynamic distribution information of personnel. In principle, people tend to stay and move in areas with more suitable environmental conditions such as temperature and humidity. Therefore, indicators such as the density of personnel distribution and the length of stay can intuitively reflect the suitability of the environment in each sub-area. For example, in the audience area, if the high-definition camera detects a large number of people gathering in a certain period of time, and most people stay for a long time to watch, and rarely walk around or change positions due to discomfort, this indicates that the current temperature and humidity conditions of the sub-area meet the comfort needs of the human body, and its suitability is at a high level. Similarly, in the rest area, if it is observed that people enter and exit in an orderly manner and are generally willing to rest for a long time after entering, it also shows that the temperature and humidity of the area create a comfortable and relaxing environment, and the suitability is good. On the contrary, if a sub-area is sparsely populated, or if people stay for a short time but leave quickly, and frequently change positions, it is likely that the temperature and humidity environment of the area has not reached the ideal state, and the suitability is relatively low, which needs further optimization and adjustment.

[0083] Furthermore, the method of using a high-definition camera to obtain the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity, and determining the suitability of each sub-area according to the dynamic distribution of people, includes the following steps:

[0084] S41, real-time image acquisition:

[0085] During the operation of the system, each high-definition camera continuously and stably collects image information of each sub-area of ​​the indoor swimming pool according to the pre-configured parameters, converts the actual scene into a digital image signal, and records the images of people at different times and locations. During the collection process, the continuity of the image must be ensured to avoid frame loss due to equipment failure, network fluctuations, etc., because the loss of any frame of the image may affect the accurate judgment of the dynamics of the people.

[0086] The collected image data is transmitted promptly and accurately to the back-end image processing server or control unit with corresponding processing capabilities through wired (such as using Ethernet cables to build a stable LAN transmission, which is suitable for long distances and scenarios with high requirements for data transmission stability) or wireless (such as using high-performance Wi-Fi networks, which facilitates flexible camera layout and avoids complex wiring problems, but requires sufficient bandwidth and signal strength) communication methods. In this process, network communication technologies such as data verification and retransmission mechanisms are used to ensure the integrity of image data and prevent transmission errors, data loss and other problems.

[0087] S42, image data preprocessing, including:

[0088] Image format unification and normalization: Since images collected by different cameras may differ in format (such as common JPEG, PNG, etc.), size (different pixel sizes), color mode (RGB, grayscale, etc.), etc., the received image data must first be processed uniformly. Convert all images to a uniform format, size, and color mode to facilitate subsequent processing with a uniform algorithm. For example, uniformly convert JPEG format images of a specific resolution (such as 1920×1080 pixels) in RGB color mode to ensure the standardization of the entire image data set.

[0089] Noise removal and enhancement processing: Factors such as light changes in indoor environments and interference from electrical equipment may cause noise in the image, affecting the accuracy of personnel detection. Use appropriate filtering algorithms, such as Gaussian filtering to effectively remove Gaussian noise, and median filtering to have a good suppression effect on salt and pepper noise, to reduce image noise interference and make the image clearer and smoother. At the same time, use image enhancement technology to enhance the image contrast by adjusting the histogram equalization, highlight the difference between the main body of the person and the background, facilitate the subsequent accurate identification of the person's outline and features, and improve the image quality for subsequent analysis and processing.

[0090] S43. Personnel detection and identification, including:

[0091] Feature extraction and model selection: Use computer vision technology to extract features from preprocessed images, such as edge features, texture features, and high-level semantic features extracted based on deep learning models. According to the actual application scenario and the comprehensive requirements for detection accuracy and speed, select a suitable person detection model, such as the classic convolutional neural network (CNN)-based target detection model (such as SSD, YOLOv5, etc.). These models are trained on a large number of labeled person image data sets, learn the characteristic representation of people under different postures, angles, and lighting conditions, and can accurately locate the position of people in the image.

[0092] Personnel target positioning and labeling: The selected person detection model is applied to each frame of the image. The model will output the location information of the person in the image, usually in the form of a rectangular box (bounding box), framing the approximate area where the person is located, and at the same time giving a corresponding confidence score to reflect the reliability of the detection result. Reliable person detection results are screened out according to the set confidence threshold (such as 0.5, which can be adjusted according to the actual detection effect), and the detected person targets are labeled on the image, clearly showing the specific location of each person in each sub-area, in preparation for subsequent personnel tracking.

[0093] S44. Personnel tracking and trajectory construction, including:

[0094] Tracking algorithm selection and initialization: Based on the results of personnel detection, select a suitable personnel tracking algorithm to associate the same person in different frame images and construct a continuous movement trajectory of the person. Commonly used tracking algorithms include multi-target tracking methods based on Kalman filtering combined with the Hungarian algorithm. It uses Kalman filtering to predict the movement state (position, speed, etc.) of personnel, and then solves the multi-target matching problem through the Hungarian algorithm to achieve accurate tracking of multiple personnel; there are also algorithms such as DeepSORT based on deep learning, which can track more accurately by learning the appearance and movement characteristics of personnel. According to the complexity of the activities of indoor swimming pool personnel, system computing resources and other factors, select a suitable tracking algorithm and perform initialization settings, such as setting relevant parameters such as state transition model and observation model.

[0095] Personnel trajectory generation: With the continuous input of image sequences, the tracking algorithm continuously tracks each person based on the position information of personnel detection and pre-set rules, associates the positions of the same person in multiple consecutive frames of images, and gradually generates a complete movement trajectory of the person. For example, in the audience area, if a person gets up from his seat, moves to the aisle, and then walks to the exit, the tracking algorithm can accurately record the corresponding movement trajectory coordinate sequence and time nodes, clearly presenting the activity routes and stays of the person in each sub-area.

[0096] S45. Extraction of dynamic distribution features of personnel, including:

[0097] Determination of key indicators: Extract key indicators that can reflect the dynamic distribution of personnel in each sub-area from the constructed personnel movement trajectory and related location and time information. These indicators include but are not limited to: the real-time number of personnel in each sub-area (count the number of personnel detected in the area in each period), the average length of stay of personnel (calculate the average length of stay of personnel in the area, reflecting the attractiveness and comfort of the area to personnel), the frequency of entry and exit of personnel (count the number of times personnel enter and exit the area and the relationship between the time interval, reflecting the activity and convenience of use of the area), the degree of personnel aggregation (by analyzing the distance distribution between personnel, etc., to determine whether it is dispersed or concentrated, reflecting the regional space utilization and environmental suitability), etc.

[0098] Data statistics and collation: For each sub-area, the above key indicators are counted and collated at certain time intervals (such as every minute, every five minutes, etc., determined according to the actual environmental change speed and control accuracy requirements) to form a data set of dynamic personnel distribution that changes over time. This clearly shows the specific values ​​of indicators such as the number of people in each sub-area, length of stay, and frequency of entry and exit at different times, providing a detailed data basis for subsequent suitability determination.

[0099] S46. Determination of suitability of sub-regions: Use cluster analysis method to divide the key indicator data set into several clusters; number the suitability levels according to the numerical range of the key indicators of the clusters; determine the suitability level of each sub-region.

[0100] In the process of determining the suitability of sub-regions, cluster analysis methods are used to carry out operations. First, key indicator data sets of dynamic distribution of personnel in each sub-region are collected, covering the number of personnel, average length of stay and other aspects. Then, cluster analysis algorithms such as K-Means are used to divide the data into several clusters according to the intrinsic characteristics of the data, so that data with similar characteristics are gathered together, including: data preparation, collecting and collating key indicator data of dynamic personnel in each sub-region, and standardizing them; determining the number of clusters; randomly selecting the initial cluster center, iteratively updating the cluster center and allocating samples until convergence, and finally completing the cluster analysis. Then, carefully analyze the numerical range of key indicators in each cluster, and number the suitability level according to certain rules, such as the cluster with the best value corresponds to a high-level number, and the slightly inferior corresponds to a lower number. Finally, by comparing the clusters where the key indicators of each sub-region are located, the corresponding suitability level is determined, so as to accurately grasp the suitability of the environment of each sub-region, and provide a strong reference for the subsequent temperature and humidity control of the indoor swimming pool.

[0101] S5. Calculate the overall suitable temperature and humidity in the swimming pool according to the suitability of each sub-area;

[0102] In this embodiment, after determining the suitability of each sub-area, the method of calculating the overall suitable temperature and humidity of the swimming pool is relatively direct. Since the suitability of each sub-area can already reflect the comfort level of its environment, it is only necessary to directly add up the suitability values ​​of all sub-areas. The sum obtained after the accumulation reflects the comprehensive suitability of the indoor environment of the swimming pool from an overall level, and then the corresponding overall suitable temperature and humidity can be determined based on past experience or the corresponding relationship between the sum of suitability and temperature and humidity set in the system, providing a precise target basis for further scientific and precise regulation of the indoor temperature and humidity of the swimming pool.

[0103] Furthermore, the overall suitable temperature and humidity are calculated as follows:

[0104] S z =S 1 +S 2 +...+S n ,

[0105] In the formula, S z Indicates the overall suitable temperature and humidity; S 1 , S 2 , …, S n is the suitability of each sub-region, and n is the number of sub-regions.

[0106] S6. quantifying the response relationship between the variable frequency parameters of the variable frequency centrifugal return fan and the variable frequency compressor and the overall suitable temperature and humidity through a generalized additive model;

[0107] In this embodiment, the generalized additive model (GAM) is an advanced statistical analysis model, which is an important extension of the traditional linear regression model. Traditional linear regression assumes that the dependent variable is linearly related to the independent variable, while the generalized additive model breaks through this limitation and allows the independent variable to affect the dependent variable in the form of a nonlinear function. There are several reasons why the generalized additive model is used to quantify the response relationship between the variable frequency parameters of the variable frequency centrifugal return fan and the variable frequency compressor and the overall suitable temperature and humidity in the indoor swimming pool environment control. First, the relationship between the variable frequency parameters (such as fan speed, compressor frequency, etc.) and the overall suitable temperature and humidity is often not a simple linear relationship, and there may be complex nonlinear associations. For example, when the speed is increased to a certain level, the rate of change of the impact on temperature and humidity will change. GAM can accurately capture such situations. Second, the model is highly flexible and can adaptively explore the true relationship between variables based on the actual collected data, without assuming a specific nonlinear function form in advance, so as to accurately present how the temperature and humidity respond when the operating parameters change. Third, it can provide intuitive visual results to help staff clearly understand the strength and trend of the impact of different parameters on temperature and humidity, thereby providing a strong basis for scientifically and rationally adjusting the operating status of equipment and achieving precise environmental control.

[0108] In the control of indoor swimming pool environment, the frequency conversion parameters involving frequency conversion centrifugal return fans and frequency conversion compressors cover many key aspects. For frequency conversion centrifugal return fans, speed is an important parameter, measured in revolutions per minute (rpm). The speed directly affects the air circulation speed and flow rate, and has a significant impact on temperature and humidity control. Air volume is also critical, measured in cubic meters per hour (m 3 / h) measurement, which is related to indoor air renewal and heat and water vapor diffusion efficiency. Wind pressure is measured in Pascal (Pa), which ensures that air can flow smoothly in complex air ducts and ensures stable temperature and humidity in each area. There are also motor current and power, in amperes (A), watts (W) or kilowatts (kW), which reflect the motor load and energy consumption, and indirectly affect temperature and humidity regulation and equipment operation.

[0109] As for variable frequency compressors, the operating frequency is measured in Hertz (Hz). The cooling or heating capacity is adjusted by changing the frequency. The higher the frequency, the greater the cooling and heating power. The role should not be underestimated. The cooling capacity and heating capacity should not be ignored. The cooling capacity reflects the amount of heat removed from the room per unit time, while the heating capacity is the opposite. The units of both are mostly kilowatts (kW). They directly determine the actual effect of indoor temperature and humidity regulation. These operating parameters cooperate and work together to jointly affect the temperature and humidity conditions of the indoor swimming pool. They are also important considerations for constructing a generalized additive model to quantify its relationship with the overall suitable temperature and humidity response.

[0110] Furthermore, the generalized additive model includes the following construction steps:

[0111] S61, determining model parameters: determining model parameters according to data characteristics, the model parameters including distribution family form, smoothing function and number of nodes, the distribution family form is configured as Poisson distribution, the smoothing function is configured as cubic spline function, and the number of nodes is configured as half of the number of samples;

[0112] When constructing a generalized additive model, it is a crucial basic link to reasonably determine the model parameters. First of all, we must consider the settings of various parameters based on the characteristics of the collected data: for the distribution family form, the configuration here is Poisson distribution. The reason for choosing Poisson distribution is that the overall temperature and humidity suitability is a discrete variable, and Poisson distribution is a probability distribution assumption that fits the reality. It can well describe the frequency of rare events within a certain time or space range, and help to accurately characterize the probability distribution characteristics of variables such as overall suitable temperature and humidity under different conditions, laying the foundation for the subsequent precise analysis of the model.

[0113] The smoothing function is configured as a cubic spline function, which has good smoothness and flexibility, and can approximate the complex nonlinear relationship between variables in the form of a piecewise polynomial. When dealing with non-simple linear relationships between variable frequency parameters (such as the speed and air volume of the variable frequency centrifugal return fan and the operating frequency of the variable frequency compressor) and the overall suitable temperature and humidity, it can make adaptive adjustments based on the changing trend of the data, and fit the real response relationship more smoothly and accurately, so that the model can capture local details while ensuring overall continuity.

[0114] The number of nodes is configured to be half of the number of samples. The determination of the number of nodes is related to the fitting accuracy of the spline function to the data. Setting it to half of the number of samples is a choice after comprehensively weighing the complexity of the model and the risk of overfitting. Too few nodes may lead to insufficient fitting and fail to fully reflect the complexity of the variable relationship; while too many nodes can fit the data more carefully, it is easy to cause overfitting problems and make the model's generalization ability on new data worse. Taking half the number of nodes as the number of samples helps to find a balance between the two, so that the model can better fit the response relationship between the variable frequency parameters and the overall suitable temperature and humidity under the current data set.

[0115] S62, Model optimization: Use the test set to evaluate the model's prediction results on suitability, and optimize the model parameters according to the prediction results until they are within the preset error range.

[0116] After completing the initial model parameter setting, the model performance needs to be further improved through the model optimization step. The test set is used to evaluate the model's prediction results for suitability (here it should be based on the suitability reflected by the overall suitable temperature and humidity related indicators). This process is based on the independent test set divided from the existing data set. The test set data is the data that the model has never encountered during the training process, so as to simulate the performance of the model when facing new data in actual applications.

[0117] According to the prediction results, analyze the error between the model prediction value and the actual suitability value in the test set. If the error exceeds the preset range, it means that the current parameter settings of the model may not be ideal enough and cannot accurately capture the influence of the frequency conversion parameters on the overall suitable temperature and humidity. At this time, it is necessary to adjust and optimize the model parameters, such as appropriately increasing or decreasing the number of nodes, and then use the test set for evaluation again. Repeat this process until the model's prediction result for suitability is within the preset error range, ensuring that the model has good accuracy and generalization ability, so that it can be reliably used for subsequent quantitative analysis of the relationship between the frequency conversion parameters and the overall suitable temperature and humidity response and actual environmental control decision-making reference.

[0118] S7. According to the response relationship, control the frequency conversion parameters so that the overall suitable temperature and humidity in the swimming pool room are maintained above a preset threshold value.

[0119] In this embodiment, in the environmental control system of the indoor swimming pool, after successfully quantifying the response relationship between the frequency conversion parameters of the variable frequency centrifugal return fan and the variable frequency compressor and the overall suitable temperature and humidity through the generalized additive model, precise equipment parameter control is carried out based on this. First, the threshold of the overall suitable temperature and humidity in the swimming pool is clearly set. This threshold is determined based on multiple factors such as human comfort, swimming pool operation requirements and relevant standards. Then, the current overall suitable temperature and humidity values ​​are monitored in real time and compared with the preset thresholds.

[0120] When it is found that the overall suitable temperature and humidity are close to or tend to be lower than the preset threshold, the response relationship that has been mastered can be used to quickly analyze what adjustments need to be made to the frequency conversion parameters. For example, if the response relationship shows that increasing the speed of the frequency conversion centrifugal return fan, increasing the air volume, and appropriately increasing the operating frequency of the frequency conversion compressor can effectively increase the temperature and humidity, the control system will accurately issue instructions to drive the corresponding equipment to change the operating parameters as required, so that the temperature and humidity return to above the preset threshold. Throughout the process, these links are continuously monitored, compared, and adjusted in a cycle to ensure that the overall suitable temperature and humidity in the swimming pool are always stable above the preset threshold, creating a comfortable and standard indoor environment for users, and realizing intelligent and refined control of the temperature and humidity of the indoor swimming pool.

[0121] Furthermore, the step of controlling the frequency conversion parameters according to the response relationship so that the overall suitable temperature and humidity in the swimming pool room is maintained above a preset threshold value comprises the following steps:

[0122] S71, visualizing the response relationship between the frequency conversion parameters and the overall suitable temperature and humidity by fitting the response relationship curve of the generalized additive model;

[0123] After constructing the generalized additive model, professional data analysis software or drawing tools are used to perform curve fitting and visualization of the response relationship between the variable frequency parameters of the variable frequency centrifugal return fan and the variable frequency compressor and the overall suitable temperature and humidity revealed by the model. For example, with the speed of the variable frequency centrifugal return fan as the horizontal coordinate and the overall suitable temperature and humidity in the swimming pool room as the vertical coordinate, curve fitting is performed based on the data points output by the model to draw a curve that can intuitively show how the overall suitable temperature and humidity change accordingly with the change of the fan speed. Similarly, corresponding response relationship curves are also drawn for other key operating parameters such as the operating frequency of the variable frequency compressor. Through these visualized curves, staff can clearly and intuitively observe how the changes in different variable frequency parameters dynamically affect the overall suitable temperature and humidity, understand the general trend of the influence of each parameter, the sensitivity, and the possible interaction between the parameters, etc., and provide an intuitive basis for subsequent judgment and regulation.

[0124] S72, when the overall suitable temperature and humidity in the swimming pool room is lower than a preset threshold, determining abnormal frequency conversion parameters that are not within the overall suitable temperature and humidity threshold range in the response relationship curve;

[0125] The overall suitable temperature and humidity in the swimming pool room are continuously monitored in real time and compared with the pre-set threshold. Once the overall suitable temperature and humidity are found to be lower than the threshold, it means that the current equipment operation status fails to maintain the expected environmental conditions and needs to be adjusted. At this time, refer to the response relationship curves obtained by the previous fitting, and carefully check the difference between the overall suitable temperature and humidity values ​​corresponding to the current frequency conversion parameters and the values ​​that should correspond to the normal threshold range. Those frequency conversion parameters that fall outside the overall suitable temperature and humidity threshold range corresponding to the normal response relationship curve are abnormal frequency conversion parameters. For example, according to the response relationship curve, under a certain combination of compressor operating frequency and fan speed, the overall suitable temperature and humidity should be above the set threshold, but it is actually lower than the threshold. At this moment, the corresponding parameters such as compressor operating frequency and fan speed are judged as abnormal parameters, and their actual operation does not meet the expected requirements for maintaining a suitable environment, and further investigation and adjustment are required.

[0126] S73. Adjust the abnormal frequency conversion parameters until the overall suitable temperature and humidity are maintained above the preset threshold.

[0127] After determining the abnormal frequency conversion parameters, make targeted adjustments to these abnormal parameters based on the rules revealed by the response relationship curve and past equipment control experience. If the temperature and humidity do not meet the standards because the speed of the variable frequency centrifugal return fan is too low, then gradually increase the fan speed and observe the changes in the overall suitable temperature and humidity values ​​in real time; if the operating frequency of the variable frequency compressor does not meet the requirements, then increase or decrease its frequency accordingly, and adjust it in conjunction with other related parameters to avoid the adverse effects of single parameter adjustment. During the adjustment process, continue to pay attention to the overall suitable temperature and humidity values, repeatedly compare them with the preset thresholds, and continuously fine-tune the frequency conversion parameters until the overall suitable temperature and humidity rise and remain stable above the preset thresholds, ensuring that the indoor environment of the swimming pool is always comfortable and meets the requirements, and realizing indoor environment optimization management based on precise analysis and effective control.

[0128] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool, characterized in that: It includes a variable frequency wind module, a refrigerant module and an electric control module, wherein the variable frequency wind module, the refrigerant module and the electric control module are communicatively connected, wherein: The electric control module is used to automatically control the variable frequency centrifugal return fan and the variable frequency compressor according to the temperature and humidity of different areas in the swimming pool, including: Divide the indoor area of ​​the swimming pool into several sub-areas, and use temperature and humidity sensors to monitor the temperature and humidity of each sub-area; The temperature and humidity of each sub-area are processed by interpolation method to obtain the spatial distribution of temperature and humidity in the swimming pool; Setting temperature and humidity targets for each sub-area, and adjusting the temperature and humidity for each sub-area according to the temperature and humidity targets; Using a high-definition camera to obtain the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity, and determining the suitability of each sub-area according to the dynamic distribution of people; Calculate the overall suitable temperature and humidity in the swimming pool according to the suitability of each sub-area; quantifying the response relationship between the variable frequency parameters of the variable frequency centrifugal return fan and the variable frequency compressor and the overall suitable temperature and humidity through a generalized additive model; According to the response relationship, the frequency conversion parameters are controlled so that the overall suitable temperature and humidity in the swimming pool room are maintained above a preset threshold value.

2. According to claim 1, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The interpolation method is calculated as follows: Where, T p represents the temperature and humidity at a certain point p in the indoor space of the swimming pool; T i represents the temperature and humidity of the i-th sub-area, n is the number of sub-areas; w i represents the distance weight of the i-th sub-region; D p Represents the Euclidean distance from point p to the monitoring point in the i-th sub-region.

3. According to claim 1, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The method of obtaining the dynamic distribution of people in the swimming pool after adjusting the temperature and humidity by using a high-definition camera and determining the suitability of each sub-area according to the dynamic distribution of people includes the following steps: Real-time image acquisition: The image information of each sub-area of ​​the indoor swimming pool is collected by a high-definition camera according to pre-configured parameters, the actual scene is converted into a digital image signal, and the collected image data is transmitted to the back-end image processing server through wired or wireless communication; Preprocessing the image data, including image format unification and normalization, as well as noise removal and enhancement processing; Personnel detection and identification: Use computer vision technology to extract personnel features from pre-processed images and output the position information of personnel in each sub-area of ​​the image; Personnel tracking and trajectory construction: Based on the results of personnel detection, the personnel tracking algorithm is used to associate the same person in multiple consecutive frames of images and construct a continuous movement trajectory of the person; Extraction of dynamic distribution features of personnel: Extract key indicators that can reflect the dynamic distribution of personnel in each sub-area from the constructed personnel movement trajectory and related location and time information, and collect and organize the key indicators to form a dynamic distribution data set of personnel that changes over time; the key indicators include the real-time number of personnel in each sub-area, the average length of stay of personnel, the frequency of personnel entry and exit, and the degree of personnel aggregation; Determination of suitability of sub-regions: cluster analysis method is used to divide the key indicator data set into several clusters; the suitability levels are numbered according to the numerical range of the key indicators of the clusters; and the suitability level of each sub-region is determined.

4. According to claim 3, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The personnel feature extraction includes extracting edge features, texture features and high-level semantic features of personnel based on a deep learning model.

5. According to claim 3, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The personnel tracking algorithm is configured as a multi-target tracking method based on Kalman filtering combined with the Hungarian algorithm or a DeepSORT algorithm based on deep learning.

6. According to claim 3, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The cluster analysis method is configured as a K-means clustering method, including: data preparation, collecting and collating dynamic key indicator data of personnel in each sub-area, and performing standardization processing; determining the number of clusters; randomly selecting initial cluster centers, iteratively updating cluster centers and allocating samples until convergence, and finally completing cluster analysis.

7. According to claim 1, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The overall suitable temperature and humidity are calculated as follows: S z =S1+S2+...+S n , In the formula, S z Indicates the overall suitable temperature and humidity; S1, S2, ..., S n is the suitability of each sub-region, and n is the number of sub-regions.

8. According to claim 1, a multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool is characterized in that: The generalized additive model includes the following construction steps: Determine model parameters: determine model parameters according to data characteristics, the model parameters include distribution family form, smooth function and node number, the distribution family form is configured as Poisson distribution, the smooth function is configured as cubic spline function, and the node number is configured as half of the sample number; Model optimization: Use the test set to evaluate the model's prediction results on fitness, and optimize the model parameters according to the prediction results until they are within the preset error range.

9. The multi-zone monitoring and dehumidification frequency conversion control system based on an indoor swimming pool according to claim 1 is characterized in that: According to the response relationship, controlling the frequency conversion parameters so that the overall suitable temperature and humidity in the swimming pool room is maintained above a preset threshold value includes the following steps: Visualize the response relationship between the frequency conversion parameters and the overall suitable temperature and humidity by fitting the response relationship curve of the generalized additive model When the overall suitable temperature and humidity in the swimming pool room is lower than a preset threshold, abnormal frequency conversion parameters that are not within the overall suitable temperature and humidity threshold range in the response relationship curve are determined; The abnormal frequency conversion parameters are adjusted until the overall suitable temperature and humidity remain above the preset threshold.

10. The multi-zone monitoring dehumidification frequency conversion control system based on an indoor swimming pool according to claim 1, characterized in that: It includes a variable frequency wind module, a refrigerant module and an electric control module, wherein the variable frequency wind module, the refrigerant module and the electric control module are communicatively connected, wherein: The variable frequency wind module is composed of a cold bridge prevention box, a variable frequency centrifugal supply fan, a variable frequency centrifugal return fan and an air valve, and is used to draw indoor air into the dehumidification heat pump box through the air duct, and send the treated air back to the room through the supply fan; The refrigerant module is composed of a variable frequency compressor, an evaporator, a reheat condenser, an outdoor condenser, a titanium bulb, a liquid storage tank, an electronic expansion valve, a dry filter and a copper tube, and is used to dehumidify and cool the indoor air or dehumidify and heat the indoor air; The electric control module is composed of a control panel, a main control board, a frequency conversion drive module, a plurality of contactors and a plurality of temperature and humidity sensors.

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