A method for temperature control of polyvinyl chloride resilient flooring

Abstract

The application provides a polyvinyl chloride elastic floor temperature control method, comprising the following steps: collecting the water content of the self-leveling layer surface between the floor bottom surface and the self-leveling layer and the initial floor bottom surface heat flux density of each measuring point, and synchronously collecting the floor surface temperature and the current heating rate of the floor heating system; selecting the measuring points with the loss exceeding the preset threshold value from the floor bottom surface heat conduction loss, classifying the adjacent super-threshold measuring points into the same region according to the spatial position, obtaining the excessive drying region set and the corresponding average heat conduction loss; and determining the valve opening degree and the heating rate of the corresponding floor heating loop of each region according to the excessive drying region set and the corresponding average heat conduction loss and the current heating rate of the floor heating system.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a method for temperature control of polyvinyl chloride (PVC) resilient flooring. Background Technology

[0002] In the field of materials processing, the preparation and performance optimization of polyvinyl chloride (PVC) composite materials are of great significance. They are widely used in industries such as construction, packaging, and medicine, directly impacting product durability and safety. Especially in the heating process, the balance between temperature control and material composition maintenance remains crucial to product quality. Currently, traditional heating methods often control temperature through fixed power or simple incremental increases. While convenient, these methods fall short when dealing with complex material systems.

[0003] Many methods neglect the differences in temperature changes across different regions within a material, and the risk that certain key components may be lost due to temperature fluctuations during heating. This neglect leads to uneven material properties and even quality defects during processing, particularly in products requiring long-term flexibility. For example, an existing patent, CN102993603A, discloses a heating technique involving kneading and mixing in the preparation of PVC composite materials, which suffers from problems such as inadequate PVC degradation or plasticization due to improper temperature control. Focusing on specific technical challenges, the adjustment step size of the heating power becomes a core factor affecting temperature distribution and material composition stability.

[0004] If the power adjustment is too gradual, it will lead to excessively long heating times, affecting production efficiency; conversely, if the adjustment is too rapid, it may cause a rapid rise in the internal temperature of the material, resulting in an excessive temperature difference between the surface and the interior. This difference can cause the surface temperature to quickly approach the dangerous range where certain key components are prone to volatilization, leading to component loss and affecting material performance. More complexly, this uneven temperature distribution is not static but dynamically evolves during the heating process, increasing the difficulty of control. For example, in a real-world processing scenario, when heating polyvinyl chloride (PVC), if the power increases too quickly, the surface temperature may rise sharply in a short period, approaching the critical point where certain additives are prone to volatilization, while the internal temperature has not yet reached the ideal state. In this case, the surface additives will be lost more rapidly due to the high temperature, causing the surface to harden and become brittle, while the interior may not be fully fused due to insufficient temperature, ultimately resulting in a decline in the overall performance of the product.

[0005] Therefore, how to dynamically adjust the power increment step during the heating process to balance the temperature difference between the material surface and the interior, while avoiding the loss of key components due to high-temperature volatilization, has become a key problem that needs to be solved in this study. Summary of the Invention

[0006] This invention provides a method for temperature control of polyvinyl chloride resilient flooring, comprising: Collect the moisture content of the self-leveling layer surface between the floor bottom and the self-leveling layer and the initial heat flux density of the floor bottom at each measuring point, and simultaneously collect the floor surface temperature and the current heating rate of the underfloor heating system. Based on the surface moisture content of the self-leveling layer, identify the drying points where the moisture content is lower than the lower limit of the preset drying range, extract the heat flux density of the floor bottom surface at each drying point, compare it with the initial heat flux density of the floor bottom surface to determine the heat flux density decay state, and define the heat conduction loss of the floor bottom surface at each drying point based on the heat flux density decay state. From the heat conduction loss of the floor bottom surface, select the over-threshold measurement points whose loss values ​​exceed the preset loss threshold, and classify adjacent over-threshold measurement points into the same area according to their spatial location to obtain the set of over-dry areas and the average heat conduction loss corresponding to the set of over-dry areas. Based on the set of excessively dry areas, and based on the average heat conduction loss and the current heating rate of the underfloor heating system, determine the valve opening and heating rate of the corresponding underfloor heating circuit; The valve opening and the heating rate are sent to the corresponding underfloor heating circuit for execution. After execution, the heat flux density of the floor surface in each area is collected. Unimproved areas with heat flux density lower than the initial floor surface heat flux density and no improvement in heat conduction are identified. The valve opening of the circuit corresponding to the unimproved area is adjusted to obtain a stable valve opening. Based on the opening degree of the stable loop valve, the output of the underfloor heating system is controlled, the updated floor surface temperature of each area is collected, and the target area where the surface temperature difference converges to the preset stable range is identified.

[0007] Furthermore, the process of collecting the moisture content of the self-leveling layer surface and the initial heat flux density of the floor bottom surface at each measuring point, and simultaneously collecting the floor surface temperature and the current heating rate of the underfloor heating system, includes: Obtain the surface moisture content of the self-leveling layer and the heat flux density of the floor bottom at each measuring point; Based on the timestamps for moisture content and heat flux density, an initial state data record containing the measurement point number is generated. Acquire the real-time floor surface temperature value collected by the infrared temperature sensor and read the current heating rate value output by the floor heating controller; Based on the initial state data record containing the measurement point number, a synchronously collected data set is generated, which includes the heat flux density value of the floor bottom surface, the moisture content value of the self-leveling layer surface, the real-time temperature value of the floor surface, and the current heating rate value of the underfloor heating.

[0008] Furthermore, based on the surface moisture content of the self-leveling layer, the step of identifying drying points where the moisture content is lower than the lower limit of a preset drying range, extracting the floor bottom heat flux density at each drying point, comparing it with the initial floor bottom heat flux density to obtain the heat flux density decay state, and defining the floor bottom heat conduction loss at each drying point based on the heat flux density decay state, includes: Extract the surface moisture content values ​​of the self-leveling layer at each measuring point; Under the condition that the moisture content value is lower than the preset lower limit threshold of the drying range, the corresponding measuring points are summarized to form a list of drying measuring points including measuring point numbers and moisture content values; Extract the current floor bottom surface heat flux density value of each drying point in the drying point list, and retrieve the initial floor bottom surface heat flux density value; The difference between the current floor surface heat flux density value and the initial floor surface heat flux density value is used to obtain the heat flux density attenuation. The attenuation ratio is obtained by dividing the heat flux density attenuation by the initial heat flux density value at the bottom of the floor. The degree of heat conduction loss at the bottom of the floor is determined based on the attenuation ratio, and a record of heat conduction loss at the bottom of the floor is generated.

[0009] Furthermore, the summary of corresponding measuring points forms a list of dry measuring points including measuring point numbers and moisture content values, including: Compare the surface moisture content of the self-leveling layer at each measuring point with the preset lower limit threshold of the drying range; Query the spatial coordinates of the paving area where the low moisture content measuring point is below the preset lower limit threshold of the drying range; Query the floor heating circuit number corresponding to the spatial coordinates and generate a spatial positioning record; Determine the monitoring grid unit where each low moisture content measuring point is located; The surface drying state of the self-leveling layer is determined by calculating the difference between the moisture content values ​​at each low moisture content measuring point and the lower limit threshold of the preset drying range. Summarize the moisture content values, spatial coordinates, underfloor heating circuit numbers, monitoring grid units, and the surface dryness of the self-leveling layer to form a list of dryness measurement points.

[0010] Furthermore, the step of selecting measurement points with loss values ​​exceeding a preset loss threshold from the heat conduction loss of the floor surface, and grouping adjacent measurement points exceeding the threshold into the same region according to their spatial location to obtain a set of excessively dry regions and the average heat conduction loss corresponding to the set of excessively dry regions, includes: Read the heat flux density attenuation ratio at each drying measurement point; Compare the heat flux density attenuation ratio with a preset heat conduction loss threshold; Under the condition that the heat flux density attenuation ratio is greater than the preset heat conduction loss threshold, the corresponding drying measurement point is marked as an over-threshold measurement point; All measurement points exceeding the threshold are compiled into a set of measurement points exceeding the threshold. Extract the spatial coordinates of each threshold measurement point in the threshold measurement point set. A density-based spatial clustering algorithm is used to perform clustering operations on the spatial coordinates. Obtain the pre-defined neighborhood radius parameter and minimum number of points parameter; Calculate the Euclidean distance between the horizontal and vertical coordinate data of each measurement point exceeding the threshold. Under the condition that the Euclidean distance is less than the neighborhood radius parameter, the corresponding overthreshold measurement points are assigned to the same spatial cluster, generating multiple spatial clusters containing adjacent overthreshold measurement points; For each spatial cluster, extract the boundary coordinates of each measurement point exceeding the threshold within the spatial cluster; Determine the minimum and maximum values ​​of the horizontal coordinate data; Determine the minimum and maximum values ​​of the vertical axis data; The rectangular coverage area of ​​the spatial cluster is defined by the minimum and maximum values ​​of the horizontal coordinate data and the minimum and maximum values ​​of the vertical coordinate data; The rectangular coverage area is marked as an excessively dry region, and a set of excessively dry regions is generated; Extract the heat flux density attenuation ratio of all measurement points exceeding the threshold within the set of excessively dry regions; Calculate the arithmetic mean of the heat flux density decay ratio to generate the average heat conduction loss.

[0011] Furthermore, determining the valve opening and heating rate of the corresponding underfloor heating circuit based on the set of excessively dry areas, the average heat conduction loss, and the current heating rate of the underfloor heating system includes: Read the area number and average heat flux density loss value of each excessively dry area; By comparing the average heat flux density loss value with the preset loss level threshold, a loss level identifier is generated for each over-drying region. Query the floor heating circuit number corresponding to each measuring point within the rectangular coverage area; The most frequently occurring floor heating circuit number is used as the main control circuit number for the excessively dry area. Obtain the current heating rate and current valve opening output from the floor heating controller; The pre-established valve opening adjustment table is queried based on the loss level identifier; Calculate the difference between the current valve opening and the valve opening reduction rate to generate the target valve opening. Calculate the difference between the current heating rate and the rate of decrease in the heating rate to generate the target heating rate.

[0012] Furthermore, the step of sending the valve opening and the heating rate to the corresponding underfloor heating circuit for execution, collecting the heat flux density of the floor surface in each area after execution, identifying unimproved areas where the heat flux density is lower than the initial floor surface heat flux density and the heat conduction state has not improved, and adjusting the valve opening of the circuit corresponding to the unimproved area to obtain a stable circuit valve opening includes: Extract the main control loop number for each over-drying zone; The generated target valve opening data is encapsulated into a control command data packet; The control command data packet is sent from the floor heating controller to the floor heating circuit corresponding to the main control circuit number to perform circuit parameter adjustment. Within a preset acquisition period after the control command data packet is executed, the heat flux density values ​​of the floor bottom surface at the measuring points in each over-drying area are continuously extracted. Compare the heat flux density value of the floor bottom surface after execution with the initial heat flux density value of the floor bottom surface at the corresponding measuring point collected during the system initialization phase; If the heat flux density value of the floor bottom surface after the execution is lower than the initial heat flux density value of the floor bottom surface, it is determined that the heat conduction state of the corresponding measuring point has not improved. The number of measuring points where the heat conduction status did not improve was counted; Compare the number of measurement points whose heat conduction state has not improved with a preset threshold for the number of measurement points whose heat conduction state has not improved. For excessively dry areas where the number of measurement points whose heat conduction status has not been improved is greater than the threshold for the number of unimproved measurement points, the corresponding areas are marked as unimproved areas. Obtain the real-time valve opening value of the current circuit, calculate the difference between the real-time valve opening value and the pre-configured opening decrease parameter, and generate the adjusted valve opening value. The adjusted valve opening value is sent to the corresponding circuit for control execution; The heat flux density acquisition and judgment process is triggered cyclically. If the number of measuring points where the heat conduction status has not improved is lower than the threshold value for the number of unimproved measuring points, extract the valve opening record value for the current corresponding circuit. The valve opening record value is set as the stable loop valve opening value for each region.

[0013] Furthermore, the step of controlling the output of the underfloor heating system based on the opening degree of the stable loop valve, collecting updated floor surface temperatures in each area, and identifying target areas where the surface temperature range converges to a preset stable range includes: Send a control command containing the opening parameters of the stabilization loop valves to the underfloor heating controller; Control the valve opening position of each heating circuit to maintain the valve opening parameters of the stable circuit; Within the preset temperature acquisition period after the underfloor heating output control, obtain the floor surface temperature values ​​of all measuring points in each excessively dry area; Extract the highest and lowest temperature values ​​within the region; The surface temperature range is obtained by calculating the difference between the highest temperature value and the lowest temperature value. Compare the surface temperature range of each over-dried region with a preset stable range threshold; If the surface temperature difference is less than a preset stable range threshold, the area is marked as a temperature stable area, and the system identification information of the temperature stable area is output.

[0014] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses a temperature control method for polyvinyl chloride (PVC) resilient flooring. Addressing the issue of uneven floor surface temperature and the correlation between heat transfer loss and the dryness of the self-leveling layer during the underfloor heating start-up phase, this method comprehensively analyzes the surface moisture content of the self-leveling layer, the heat flux density of the floor's underside, and the heating rate to accurately identify excessively dry areas and optimize the underfloor heating circuit control. The invention first collects moisture content and heat flux data, identifying dry measurement points and areas with excessive heat loss. Then, it categorizes excessively dry areas based on spatial location, calculates the average heat transfer loss, and dynamically adjusts the valve opening and heating rate of the corresponding circuits. Finally, by continuously monitoring the heat flux density and surface temperature, it ensures that the temperature difference converges to a stable range. The core innovation of this invention lies in its multi-dimensional linkage analysis based on moisture content and heat flux density, enabling precise control of the underfloor heating system. This significantly improves the temperature uniformity and energy efficiency of the PVC resilient flooring during the heating phase, reduces heat loss, and ensures the floor's lifespan and comfort. Attached Figure Description

[0015] Figure 1 This is a flowchart of a method for controlling the temperature of polyvinyl chloride resilient flooring according to the present invention.

[0016] Figure 2 This is a schematic diagram of a method for controlling the temperature of polyvinyl chloride resilient flooring according to the present invention.

[0017] Figure 3 This is another schematic diagram of a method for controlling the temperature of polyvinyl chloride resilient flooring according to the present invention. Detailed Implementation

[0018] To further understand the content of this invention, a detailed description of the invention is provided in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0019] like Figures 1-3 This embodiment of a method for controlling the temperature of polyvinyl chloride resilient flooring may specifically include: Step S101: Collect the moisture content of the self-leveling layer surface between the floor bottom and the self-leveling layer, as well as the initial heat flux density of the floor bottom at each measuring point, and simultaneously collect the floor surface temperature and the current heating rate of the underfloor heating system.

[0020] Wireless moisture content sensors and heat flux density sensors are embedded at the interface between the self-leveling layer surface and the bottom surface of the PVC resilient flooring. This ensures that contact and data acquisition are maintained wirelessly after the flooring is laid, acquiring the moisture content values ​​of the self-leveling layer surface and the heat flux density values ​​of the flooring bottom surface at each measuring point. Based on the acquisition timestamps of the moisture content and heat flux density values, an initial state data record is established for each measuring point. The initial state data record includes the measuring point number, moisture content value, heat flux density value, and corresponding acquisition time. Real-time temperature values ​​at each measuring point on the floor surface are acquired using an infrared temperature sensor, and the current heating rate value output by the underfloor heating controller is read synchronously. The floor surface temperature value and heating rate value are matched with the initial state data record according to the measuring point number, resulting in a synchronously acquired data set of the flooring bottom surface heat flux density value, self-leveling layer surface moisture content value, floor surface temperature value, and underfloor heating heating rate value for each measuring point.

[0021] In areas where PVC resilient flooring is installed, a capacitive humidity probe is used as the moisture content sensor. It is installed at the interface between the flooring and the self-leveling layer, with the probe's sensing end in direct contact with the surface of the self-leveling layer to detect changes in moisture content at this interface. The heat flux density sensor uses a thin-film thermopile structure, attached to the side of the flooring facing the self-leveling layer, to sense the intensity of heat transfer across the interface.

[0022] For example, within the area covered by the underfloor heating circuit, several measuring points are divided according to a preset grid spacing. Each measuring point is equipped with a set of moisture content sensors and heat flux density sensors. The output terminals of each sensor are connected to a data acquisition device. The data acquisition device synchronously reads the moisture content and heat flux density values ​​of each measuring point according to a unified clock signal, and labels each set of values ​​with the corresponding measuring point number and acquisition time, forming an initial state data record.

[0023] In one embodiment, an infrared temperature sensor is mounted above the floor surface, facing the floor surface area corresponding to each measuring point, and converts the infrared energy radiated from the floor surface into a temperature value. The underfloor heating controller outputs the current heating rate value in real time, which represents the magnitude of change in the underfloor heating water supply temperature over time.

[0024] Specifically, the data acquisition unit collects the floor moisture content in real time using a moisture content sensor, monitors the heat flux density using a heat flux density sensor, acquires the floor surface temperature using a temperature sensor, and calculates the underfloor heating rate. Then, based on the measurement point number, these values ​​are matched with the initial state data records and aggregated to form a synchronously acquired data set for each measurement point. This data set contains the moisture content, heat flux density, floor surface temperature, and underfloor heating rate at the same measurement point at the same acquisition time.

[0025] Step S102: Based on the surface moisture content of the self-leveling layer, identify the drying test points where the moisture content is lower than the lower limit of the preset drying range, extract the heat flux density of the floor bottom surface of each drying test point, compare it with the initial heat flux density of the floor bottom surface, and define the heat conduction loss of the floor bottom surface of each drying test point by the heat flux density decay state.

[0026] The moisture content of the self-leveling layer surface at each measuring point is obtained. This moisture content is then compared one by one with a preset lower limit threshold for the drying range. If the moisture content of a measuring point is lower than the preset lower limit threshold, that measuring point is marked as a dry measuring point, and a list of dry measuring points is compiled. This list includes the measuring point number and corresponding moisture content value of each dry measuring point. Based on the measuring point number in the dry measuring point list, the current floor surface heat flux density value of each dry measuring point is extracted from the synchronously acquired data group. Simultaneously, the initial floor surface heat flux density value corresponding to the measuring point number is retrieved from the initial state data record. The difference between the current floor surface heat flux density value and the initial floor surface heat flux density value is calculated to obtain the heat flux density attenuation of each dry measuring point. For each dry measuring point, the heat flux density attenuation is divided by the initial floor surface heat flux density value to obtain the heat flux density attenuation ratio. This heat flux density attenuation ratio characterizes the degree of heat conduction loss on the floor surface at each dry measuring point, forming a record of heat conduction loss on the floor surface at each dry measuring point.

[0027] During the initial stage of PVC resilient floor heating, the moisture content of the self-leveling layer directly affects the heat transfer efficiency between the floor and the self-leveling layer. The preset lower limit threshold for the dry zone is determined based on the material properties of the self-leveling layer. When the moisture content of the self-leveling layer surface is lower than this threshold, it indicates that the self-leveling layer in that area is dry, and the thermal resistance of the contact interface between it and the floor changes.

[0028] For example, after the data acquisition device reads the surface moisture content value of the self-leveling layer at each measuring point, it compares the value with the preset lower limit threshold of the drying range. Measuring points with moisture content values ​​lower than the threshold are marked as dry measuring points. The list of dry measuring points is stored in list form, and each record contains the measuring point number and the corresponding moisture content value, which facilitates subsequent retrieval of relevant data by measuring point number.

[0029] In one embodiment, based on the measurement point numbers in the drying measurement point list, the current floor surface heat flux density value of each drying measurement point is located and extracted from the synchronously acquired data group. The heat flux density value reflects the amount of heat passing through the floor surface per unit area per unit time, and its value change is closely related to the heat transfer state between the floor surface and the self-leveling layer. Simultaneously, the initial floor surface heat flux density value corresponding to the same measurement point number is retrieved from the initial state data record; this value records the baseline heat transfer level of each measurement point before the underfloor heating is started. Subtracting the initial floor surface heat flux density value from the current floor surface heat flux density value yields the heat flux density attenuation at each drying measurement point. A negative attenuation value indicates that the current heat flux density is lower than the initial state.

[0030] Specifically, the heat flux density attenuation ratio is calculated by dividing the heat flux density attenuation by the initial heat flux density value at the bottom of the floor, resulting in a dimensionless ratio. The larger this ratio, the more severe the heat conduction loss at the bottom of the floor at that dry measuring point, meaning that more heat is lost at this interface during the transfer of heat from the underfloor heating pipes to the floor surface.

[0031] It should be noted that the record of heat conduction loss on the bottom surface of the floor includes the measurement point number, heat flux density attenuation, and heat flux density attenuation ratio of each drying measurement point. The heat flux density attenuation ratio is used as a quantitative indicator to define the degree of heat conduction loss at each drying measurement point.

[0032] The system acquires the real-time moisture content of the self-leveling layer surface at each measuring point, compares it with the preset lower limit threshold of the drying range, identifies the measuring points with moisture content values ​​lower than the lower limit threshold, and identifies the spatial coordinates of the paving area where they are located and the corresponding underfloor heating circuit number. It then determines the drying status of the self-leveling layer surface at each low moisture content measuring point and the coverage area of ​​the monitoring grid where it is located, forming a list of drying measuring points and their self-leveling layer drying status and spatial positioning information.

[0033] The system acquires the real-time moisture content values ​​of the self-leveling layer surface at each measuring point. These moisture content values ​​are then compared one by one with the preset lower limit threshold of the drying range. If the moisture content value of a measuring point is lower than the preset lower limit threshold, the measuring point is marked as a low moisture content measuring point. Based on the pre-established measuring point layout map, the system queries the spatial coordinates of the floor paving area where each low moisture content measuring point is located. The spatial coordinates include the horizontal and vertical coordinates of the measuring point within the paving area. Simultaneously, the system queries the underfloor heating circuit number corresponding to the spatial coordinates to obtain the spatial location record of each low moisture content measuring point. Based on the spatial coordinates recorded in the spatial positioning record, the monitoring grid unit where each low moisture content measuring point is located is determined. The monitoring grid unit is a pre-divided rectangular area, and each grid unit covers multiple adjacent measuring points. The dryness status of the self-leveling layer surface at each low moisture content measuring point is obtained based on the difference D between the moisture content value M of each low moisture content measuring point and the preset lower limit threshold L of the dryness range, where D = LM. If D exceeds the preset dryness threshold of 2.0, it is determined to be severely dry; otherwise, it is determined to be slightly dry.

[0034] Within the area where the PVC resilient flooring is laid, a pre-established measurement point layout map records the spatial location information of each measurement point within the area. The measurement point layout map uses a two-dimensional coordinate system, with one corner of the laying area as the origin. The horizontal coordinate represents the distance of the measurement point along the length of the flooring, and the vertical coordinate represents the distance of the measurement point along the width of the flooring. Each measurement point number corresponds one-to-one with its spatial coordinate position.

[0035] For example, after the data acquisition device reads the real-time moisture content values ​​of each measuring point, it compares them one by one with the preset lower limit threshold of the drying range. The preset lower limit threshold of the drying range is preset based on the hygroscopic characteristics of the self-leveling layer material. When the moisture content value of a measuring point is lower than the threshold, it indicates that the surface of the self-leveling layer at that measuring point is in a dry state, and the measuring point is marked as a low moisture content measuring point.

[0036] In one embodiment, the spatial coordinates of the low moisture content measuring points are retrieved from the measuring point layout diagram based on their measuring point numbers. Simultaneously, a mapping table between spatial coordinates and underfloor heating circuit numbers is pre-established based on the laying direction and circuit distribution of the underfloor heating pipes. The underfloor heating circuit number corresponding to the location of each low moisture content measuring point is obtained by querying this mapping table. The measuring point number, spatial coordinates, and underfloor heating circuit number are then combined to form a spatial positioning record.

[0037] Specifically, a monitoring grid unit is a rectangular area formed by dividing the laying area into grids, with each monitoring grid unit covering multiple adjacent monitoring points. Based on the horizontal and vertical coordinates in the spatial positioning record, it is determined which monitoring grid unit each low moisture content monitoring point falls within, thus identifying the monitoring grid unit to which that point belongs. The division into monitoring grid units ensures spatial continuity of the dryness status of adjacent areas, facilitating the identification of the distribution range of dry areas.

[0038] It should be noted that the dryness status is determined based on the difference between the moisture content value and the preset lower limit threshold of the dryness range. The preset dryness threshold is used to distinguish the severity of dryness. When the difference exceeds the preset dryness threshold, it indicates that the surface moisture loss of the self-leveling layer at that measuring point is relatively severe, and it is judged as severely dry; when the difference does not exceed the preset dryness threshold, it is judged as slightly dry. The list of dry measuring points is stored in the form of a data table. Each record includes the measuring point number, moisture content value, spatial coordinates, underfloor heating circuit number, monitoring grid unit to which it belongs, and dryness status of the low moisture content measuring point, realizing the association storage of the dryness status of the self-leveling layer and spatial location information of each low moisture content measuring point.

[0039] Step S103: Select measurement points whose heat conduction loss exceeds a preset threshold from the heat conduction loss of the floor bottom surface, and classify adjacent measurement points exceeding the threshold into the same area according to their spatial location to obtain the set of excessively dry areas and their corresponding average heat conduction loss.

[0040] The heat flux density attenuation ratio of each drying measuring point is read from the heat conduction loss record of the floor bottom surface. This heat flux density attenuation ratio is compared one by one with a preset heat conduction loss threshold. If the heat flux density attenuation ratio of a drying measuring point exceeds the preset threshold, the measuring point is marked as an over-threshold measuring point. This over-threshold measuring point set is then formed, containing the measuring point number and corresponding heat flux density attenuation ratio of each over-threshold measuring point. Based on the measuring point number of each measuring point in the over-threshold measuring point set, the corresponding spatial coordinate position is retrieved from the drying measuring point list. Spatial clustering is performed on these spatial coordinate positions using the DBSCAN clustering method. Input parameters include eps (preset neighborhood radius of 0.5 meters) and minPts (minimum number of points of 3). Over-threshold measuring points whose Euclidean distance between the horizontal and vertical coordinates is less than eps are grouped into the same spatial cluster. Multiple spatial clusters are output, each containing multiple adjacent over-threshold measuring points. For each spatial cluster, the spatial coordinates of each threshold-exceeding measurement point within the cluster are extracted. The minimum, maximum, minimum, and maximum horizontal coordinates, as well as the minimum and maximum vertical coordinates, of the spatial cluster are determined. The rectangular coverage area of ​​the cluster is defined using these four boundary coordinates and marked as an over-drying region. These over-drying regions are then aggregated to form a set. For each over-drying region in this set, the heat flux density attenuation ratio of all threshold-exceeding measurement points within that region is calculated. The arithmetic mean of these attenuation ratios is calculated to obtain the average heat conduction loss of the over-drying region. This average heat conduction loss is then associated with and stored with the corresponding over-drying region.

[0041] During the start-up phase of PVC resilient floor heating, the heat conduction loss record of the floor's underside aggregates the heat flux density attenuation ratio at each dry measuring point. A preset heat conduction loss threshold is established based on the thermal stability requirements of the flooring material. When the heat flux density attenuation ratio at a measuring point exceeds this threshold, it indicates a significant decrease in heat transfer efficiency between the floor's underside and the self-leveling layer at that location, and the measuring point is marked as an over-threshold measuring point.

[0042] For example, the data processing unit iterates through each data point in the record of heat conduction loss on the floor surface, reads the heat flux density attenuation ratio for each point, and compares the values ​​with a preset heat conduction loss threshold. The set of measurement points exceeding the threshold is stored in a list format, with each record containing the measurement point number of the measurement point exceeding the threshold and its corresponding heat flux density attenuation ratio. This set reflects the distribution of measurement points with more severe heat conduction loss in the laying area.

[0043] In one embodiment, a density-based clustering method assesses the spatial proximity of measurement points, grouping spatially close over-threshold measurement points into the same spatial cluster. The core of this method lies in setting a preset neighborhood radius, which defines the distance standard for determining whether two measurement points are adjacent. For each measurement point in the over-threshold measurement point set, its spatial coordinates are retrieved from a list of dry measurement points, and the Euclidean distance between this point and other over-threshold measurement points is calculated. The Euclidean distance is calculated by taking the square root of the sum of the squares of the differences in the horizontal and vertical coordinates of the two measurement points. When the calculated Euclidean distance is less than the preset neighborhood radius, the two measurement points are considered adjacent. Starting from any over-threshold measurement point, adjacent over-threshold measurement points are sequentially grouped into the same spatial cluster, and then adjacent measurement points of the newly added measurement point are continued to be added to the same cluster, until no new adjacent measurement points can be found, thus forming a spatial cluster. The above process is repeated for over-threshold measurement points that have not yet been grouped into any cluster, ultimately resulting in multiple independent spatial clusters.

[0044] Specifically, each spatial cluster contains multiple spatially adjacent over-threshold measurement points, which form a continuous over-drying area within the floor paving area. The division of spatial clusters organizes the originally discrete over-threshold measurement points into spatially continuous regional units, facilitating subsequent assessment and control of the overall thermal conductivity of the region.

[0045] It should be noted that the boundaries of the excessively dry regions are determined using a rectangular enclosure method. For each spatial cluster, the spatial coordinates of all measurement points exceeding the threshold within the cluster are traversed, and the minimum and maximum values ​​of the horizontal and vertical coordinates are extracted. The minimum and maximum values ​​of the horizontal and vertical coordinates are used to determine the lower left vertex of the rectangular region, and the maximum values ​​of the horizontal and vertical coordinates are used to determine the upper right vertex of the rectangular region, thus defining the rectangular coverage area of ​​the spatial cluster. This rectangular coverage area is marked as an excessively dry region, and the excessively dry regions corresponding to all spatial clusters are aggregated to form a set of excessively dry regions.

[0046] In one possible implementation, each region in the set of excessively dry regions corresponds to a spatially continuous zone of high heat conduction loss. The set of excessively dry regions is stored as a data table, with each record containing a region number, the coordinates of the four boundaries of the rectangular coverage area, and the number of measurement points exceeding the threshold within that region. Furthermore, the average heat conduction loss is calculated on a per-region basis. For each region in the set of excessively dry regions, the heat flux density attenuation ratio of all measurement points exceeding the threshold within the rectangular coverage area is statistically analyzed. The sum of these ratios is then divided by the total number of measurement points exceeding the threshold within the region to obtain the arithmetic mean, which is the average heat conduction loss of that excessively dry region. The average heat conduction loss is expressed as a dimensionless value, representing the overall decrease in heat conduction efficiency within the region.

[0047] Understandably, by associating the average heat transfer loss with the corresponding excessively dry areas, each excessively dry area not only has a clearly defined spatial boundary but also a quantified level of heat transfer loss. This association storage method establishes a correspondence between the location information and the degree of loss information of each excessively dry area, providing a data foundation for subsequent differentiated regulation of the underfloor heating circuit for areas with different degrees of loss.

[0048] Step S104: Based on the set of excessively dry areas and their corresponding average heat conduction loss and the current heating rate of the underfloor heating system, determine the valve opening and heating rate of the corresponding underfloor heating circuit for each area.

[0049] The region ID and average heat flux loss value of each excessively dry region are read from the set of excessively dry regions. Based on preset loss level thresholds, the average heat flux loss value is compared with each level threshold. If the average heat flux loss value is between the preset mild loss threshold (10%) and the preset moderate loss threshold (20%), it is determined to be at the mild loss level. If the average heat flux loss value exceeds the preset moderate loss threshold (20%), it is determined to be at the severe loss level, thus obtaining the loss level identifier for each excessively dry region. The average heat flux loss is calculated using the formula L=(Qi-Qc) / Qi*100%, where L is the loss percentage, Qi is the initial heat flux density, and Qc is the current heat flux density. Based on the rectangular coverage area of ​​each excessively dry region, the floor heating circuit number corresponding to each measuring point within the rectangular coverage area is retrieved from a pre-established list of dryness measuring points collected from the floor heating system sensors. The floor heating circuit number with the highest frequency of occurrence in the area is used as the main control circuit number for that area. The loss level identifier is then associated with the main control circuit number to establish a correspondence between each excessively dry region and its main control floor heating circuit. The system obtains the current heating rate and valve opening value output by the underfloor heating controller. Based on the loss level identifier, it queries a pre-established valve opening adjustment table, which records the valve opening reduction and heating rate reduction corresponding to different loss levels. The target valve opening is obtained by subtracting the corresponding valve opening reduction from the current valve opening value, and the target heating rate is obtained by subtracting the corresponding heating rate reduction from the current heating rate value. This forms the target valve opening and target heating rate for the main control loop of each over-drying zone.

[0050] During the initial stage of PVC resilient floor heating, the average heat transfer loss in excessively dry areas reflects the degree of decrease in heat transfer efficiency between the floor surface and the self-leveling layer in that area. The loss level is determined using a dual-threshold method, with preset mild and moderate loss thresholds forming two dividing points, classifying the average heat transfer loss into two levels: mild and severe loss.

[0051] For example, when the average heat transfer loss of an excessively dry area is between a preset mild loss threshold and a preset moderate loss threshold, the area is classified as having a mild loss level, indicating that the heat transfer efficiency has decreased but is still within a controllable range. When the average heat transfer loss exceeds the preset moderate loss threshold, the area is classified as having a severe loss level, indicating that the heat transfer efficiency has decreased significantly.

[0052] In one embodiment, the main control loop number is determined using a frequency statistics method. Based on the rectangular coverage area of ​​the excessively dry zone, all measuring points whose spatial coordinates fall within this area are retrieved from the list of dry measuring points. The floor heating loop number corresponding to each measuring point is extracted, and the frequency of each loop number within the area is counted. The loop number with the highest frequency is designated as the main control loop number for that area. The main control loop number represents the floor heating loop that contributes the most to the heat supply to the excessively dry zone, and subsequent valve opening adjustments are performed on this main control loop.

[0053] Specifically, the valve opening adjustment table is a pre-established lookup table that records the adjustment parameters corresponding to different loss levels. The table includes three columns: loss level, valve opening reduction magnitude, and heating rate reduction magnitude. A mild loss level corresponds to a smaller reduction in both valve opening and heating rate, while a severe loss level corresponds to a larger reduction in both. Based on the loss level identifier for each over-drying zone, the corresponding adjustment parameters are retrieved from the valve opening adjustment table.

[0054] It should be noted that the target valve opening is calculated by subtracting the reduction in valve opening from the current valve opening value, and the target heating rate is calculated by subtracting the reduction in heating rate from the current heating rate value. By reducing the valve opening and heating rate of the underfloor heating circuit corresponding to the excessively dry area, the rate of heat input to that area is slowed down, causing the floor surface temperature to rise more gradually.

[0055] Step S105: Send the valve opening and heating rate of each over-drying area to the corresponding loop of the underfloor heating system for execution. Continuously collect the heat flux density of the floor bottom surface in each area after execution. Identify areas where the heat flux density of the floor bottom surface is still lower than the initial heat flux density of the floor bottom surface and the heat conduction state of the interface between the floor bottom surface and the self-leveling layer has not been improved, and adjust the corresponding loop valve opening to obtain the stable loop valve opening of each area.

[0056] Based on the main control loop number of each excessively dry area, the target valve opening is encapsulated as a control command. This control command is then sent to the corresponding underfloor heating loop via the underfloor heating controller, completing the parameter execution for each loop in each excessively dry area. Within a preset acquisition period after the control command is executed, the floor surface heat flux density values ​​at measuring points within each excessively dry area are continuously collected. The collected floor surface heat flux density values ​​after execution are compared with the initial floor surface heat flux density values ​​at the corresponding measuring points in the initial state data record collected during system initialization. If the floor surface heat flux density value after execution is still lower than the initial floor surface heat flux density value, it is determined that the heat conduction state at that measuring point has not improved, and the number of measuring points with unimproved heat conduction state in each area is counted. For excessively dry areas where the number of measuring points with unimproved heat conduction state exceeds a preset unimproved measuring point threshold, this area is marked as an unimproved area. Based on the main control loop number of the unimproved area, the adjusted valve opening is obtained by subtracting a preset opening reduction margin from the current valve opening. The adjusted valve opening is then sent to the corresponding loop for execution. Repeat the heat flux density acquisition and heat conduction status determination until the number of measurement points in each over-drying area whose heat conduction status has not improved is lower than the preset unimproved measurement point threshold. Record the valve opening of the corresponding loop in each area at this time as the stable loop valve opening.

[0057] During the startup phase of PVC resilient floor heating, control commands are issued through the communication link between the floor heating controller and each floor heating circuit. The floor heating controller locates the corresponding floor heating circuit based on the main control circuit number of each excessively dry area, and transmits the target valve opening degree and target heating rate as digital signals to the actuator of that circuit. Upon receiving the commands, the actuator adjusts the valve opening position and the circulation pump speed.

[0058] For example, the preset acquisition period refers to the time interval between the issuance of the control command and the next data acquisition. The setting of this time interval takes into account the hysteresis characteristics of the hot water flow in the underfloor heating pipes and the temperature response of the floor surface. Within the preset acquisition period, the heat flux density sensor continuously reads the heat flux density values ​​of the floor surface at a fixed sampling frequency, forming a sequence of heat flux density values ​​of the floor surface after execution.

[0059] In one embodiment, the determination of whether the heat conduction state has improved is achieved using a single-point comparison method. For each measuring point within each over-drying area, the current heat flux density value of that measuring point is extracted from the post-execution floor bottom surface heat flux density value sequence and compared with the initial floor bottom surface heat flux density value of that measuring point in the initial state data record. If the current heat flux density value is lower than the initial floor bottom surface heat flux density value, it indicates that the heat transfer efficiency of the floor bottom surface towards the self-leveling layer at that measuring point has not yet recovered to the initial level, and the heat conduction state of that measuring point is determined to have not improved. After traversing all measuring points within the area, the number of measuring points with no improvement in heat conduction state is counted, and this number reflects the overall degree of heat conduction recovery in the area.

[0060] Specifically, the preset threshold for unimproved measuring points is used to determine whether an over-drying area has reached the overall improvement standard. When the number of measuring points in an over-drying area where the heat conduction state has not improved exceeds the preset threshold, it indicates that the heat conduction state in that area has not been sufficiently improved under the current valve opening setting, and that area is marked as an unimproved area. The preset threshold for unimproved measuring points is related to the total number of measuring points in that area, for example, it can be set to T×0.2, where T is the total number of measuring points.

[0061] It should be noted that the valve opening adjustment for unimproved areas adopts a decreasing method. The preset decreasing range is a pre-defined valve opening adjustment step size. The calculated valve opening after adjustment is the current valve opening minus the preset decreasing range. By reducing the valve opening, the hot water flow in that loop is reduced, thus slowing down the temperature gradient between the floor surface and the self-leveling layer, reducing heat conduction loss caused by excessively rapid heating. After the adjusted valve opening is issued to the corresponding loop for execution, a new round of heat flux density acquisition and heat conduction status determination begins.

[0062] In one possible implementation, heat flux density acquisition and heat conduction state determination form a closed-loop iterative process. After each valve opening adjustment, a preset acquisition cycle is entered, followed by re-acquiring the heat flux density value of the floor surface after the execution, re-determining the heat conduction state of each measuring point, and re-counting the number of measuring points whose heat conduction state has not improved. This iterative process continues until the number of measuring points with unimproved heat conduction state in each over-drying area is lower than the preset unimproved measuring point threshold. Furthermore, when the number of measuring points with unimproved heat conduction state in an over-drying area first falls below the preset unimproved measuring point threshold, it indicates that the area has met the judgment criteria for improved heat conduction state under the current valve opening setting. At this time, the valve opening of the corresponding loop in that area is no longer adjusted, and the current valve opening value is recorded as the stable loop valve opening for that area.

[0063] Understandably, the stable loop valve opening represents the valve opening position corresponding to the improvement of heat conduction in each excessively dry area during the underfloor heating start-up phase. The stable loop valve opening value varies from area to area due to differences in location, initial dryness, and underfloor heating circuit layout. The stable loop valve opening obtained through closed-loop iterative adjustment achieves differentiated control of heat conduction in each area.

[0064] Step S106: Control the output of the underfloor heating system according to the opening degree of the stable loop valve in each area, collect the updated floor surface temperature of each area, identify the area where the surface temperature difference converges to the preset stable range, and complete the surface temperature rise stabilization control during the start-up phase of PVC elastic floor underfloor heating.

[0065] Based on the valve opening degree of the stable loop corresponding to each over-drying zone, a valve opening control command for each loop is issued to the underfloor heating controller. The underfloor heating controller adjusts the valve opening position of each underfloor heating loop according to the valve opening degree of the stable loop, maintaining the hot water supply state of each loop under the valve opening degree of the stable loop, thus completing the stable control of the underfloor heating output. Within the preset temperature acquisition period after the underfloor heating output is stabilized, the floor surface temperature values ​​of all measuring points in each over-drying zone are collected by an infrared temperature sensor. For each over-drying zone, the highest and lowest temperature values ​​in that zone are extracted from the collected floor surface temperature values, and the difference between the highest and lowest temperature values ​​is calculated to obtain the surface temperature range of that zone. The surface temperature range of each over-drying zone is compared with a preset stable range threshold. If the surface temperature range of a certain zone is less than the preset stable range threshold, it is determined that the surface temperature of that zone has converged to a stable state, and the zone is marked as a temperature stable zone. When all over-drying zones are marked as temperature stable zones, the surface temperature rise stabilization control during the start-up phase of the PVC resilient floor underfloor heating is completed.

[0066] In the final control phase of the PVC resilient floor heating system startup, the heating controller sends valve opening control commands to the actuators of each heating circuit based on the valve opening degree of the stable circuit corresponding to each excessively dry area. Upon receiving the commands, the actuators adjust the valve opening position to the state corresponding to the stable circuit valve opening, thus maintaining the hot water flow rate of each circuit at a stable level.

[0067] For example, the preset temperature acquisition cycle refers to the waiting time between the completion of stable control of the underfloor heating output and the start of temperature data acquisition. This time interval is set considering the thermal conductivity characteristics and temperature response hysteresis of the floor material, ensuring that the floor surface temperature fully responds and tends to equilibrium under stable heat input. After the preset temperature acquisition cycle ends, the infrared temperature sensor scans the temperature of each measuring point in the excessively dry area, recording the floor surface temperature value at each measuring point.

[0068] In one embodiment, the surface temperature range is calculated independently for each excessively dry area. From the floor surface temperature values ​​at all measuring points within that area, the temperature with the highest value is retrieved as the highest temperature value for that area, and the temperature with the lowest value is retrieved as the lowest temperature value. Subtracting the lowest temperature value from the highest temperature value yields the surface temperature range for that area. The surface temperature range reflects the dispersion of the floor surface temperature distribution within that area; a smaller range value indicates that the temperatures at each measuring point within the area are closer together, and the temperature distribution is more uniform.

[0069] Specifically, the preset stable range threshold is a pre-defined upper limit value for temperature range, used to determine whether the floor surface temperature in a certain area has converged to a stable state. When the surface temperature range of an excessively dry area is less than the preset stable range threshold, it indicates that the difference in floor surface temperature at each measuring point in that area has been controlled within an acceptable range, and that area is marked as a temperature stable area.

[0070] It should be noted that the completion of surface temperature stabilization control is determined by the condition that all over-dried areas have reached a temperature stable state. When each area in the set of over-dried areas is marked as a temperature stable area, it indicates that the surface temperature of the PVC resilient flooring has achieved uniform distribution in all areas during the underfloor heating start-up phase, and the surface temperature stabilization control during the underfloor heating start-up phase is complete.

[0071] If the technical solution of this application involves the collection, processing, or application of personal information, the relevant products have, before implementing any personal information processing activities, fully and clearly informed individuals of the processing rules in accordance with the "Personal Information Protection Law of the People's Republic of China" and other current laws and regulations, and obtained their voluntary and explicit consent. If sensitive personal information is involved, the product has obtained the individual's separate consent before processing, and such consent is given in an explicit manner. For example, prominent signs are set up in the area where information collection devices such as cameras are located, clearly indicating "Entering is considered as consent to the collection of personal information"; or through pop-ups, checkboxes, user-initiated uploads, etc., under the premise of clearly listing the processor's identity, processing purpose, processing method, and information type, the user actively completes the authorization operation. The above mechanisms ensure that all personal information processing activities are based on legal authorization and fully comply with national compliance requirements regarding personal information protection.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for temperature control of polyvinyl chloride resilient flooring, characterized in that, include: Collect the moisture content of the self-leveling layer surface between the floor bottom and the self-leveling layer and the initial heat flux density of the floor bottom at each measuring point, and simultaneously collect the floor surface temperature and the current heating rate of the underfloor heating system. Based on the surface moisture content of the self-leveling layer, identify the drying points where the moisture content is lower than the lower limit of the preset drying range, extract the heat flux density of the floor bottom surface at each drying point, compare it with the initial heat flux density of the floor bottom surface to determine the heat flux density decay state, and define the heat conduction loss of the floor bottom surface at each drying point based on the heat flux density decay state. From the heat conduction loss of the floor bottom surface, select the over-threshold measurement points whose loss values ​​exceed the preset loss threshold, and classify adjacent over-threshold measurement points into the same area according to their spatial location to obtain the set of over-dry areas and the average heat conduction loss corresponding to the set of over-dry areas. Based on the set of excessively dry areas, and based on the average heat conduction loss and the current heating rate of the underfloor heating system, determine the valve opening and heating rate of the corresponding underfloor heating circuit; The valve opening and the heating rate are sent to the corresponding underfloor heating circuit for execution. After execution, the heat flux density of the floor surface in each area is collected. Unimproved areas with heat flux density lower than the initial floor surface heat flux density and no improvement in heat conduction are identified. The valve opening of the circuit corresponding to the unimproved area is adjusted to obtain a stable valve opening. Based on the opening degree of the stable loop valve, the output of the underfloor heating system is controlled, the updated floor surface temperature of each area is collected, and the target area where the surface temperature difference converges to the preset stable range is identified.

2. The method for temperature control of polyvinyl chloride resilient flooring according to claim 1, characterized in that, The method involves collecting the moisture content of the self-leveling layer surface and the initial heat flux density of the floor bottom surface at each measuring point, and simultaneously collecting the floor surface temperature and the current heating rate of the underfloor heating system, including: Obtain the surface moisture content of the self-leveling layer and the heat flux density of the floor bottom at each measuring point; Based on the timestamps for moisture content and heat flux density, an initial state data record containing the measurement point number is generated. Acquire the real-time floor surface temperature value collected by the infrared temperature sensor and read the current heating rate value output by the floor heating controller; Based on the initial state data record containing the measurement point number, a synchronously collected data set is generated, which includes the heat flux density value of the floor bottom surface, the moisture content value of the self-leveling layer surface, the real-time temperature value of the floor surface, and the current heating rate value of the underfloor heating.

3. The method for temperature control of polyvinyl chloride resilient flooring according to claim 1, characterized in that, The process involves identifying drying points with moisture content below a preset lower limit of the drying range based on the surface moisture content of the self-leveling layer, extracting the heat flux density of the floor bottom surface at each drying point, comparing it with the initial floor bottom surface heat flux density to obtain the heat flux density decay state, and defining the heat conduction loss of the floor bottom surface at each drying point based on the heat flux density decay state. This includes: Extract the surface moisture content values ​​of the self-leveling layer at each measuring point; Under the condition that the moisture content value is lower than the preset lower limit threshold of the drying range, the corresponding measuring points are summarized to form a list of drying measuring points including measuring point numbers and moisture content values; Extract the current floor bottom surface heat flux density value of each drying point in the drying point list, and retrieve the initial floor bottom surface heat flux density value; The difference between the current floor surface heat flux density value and the initial floor surface heat flux density value is used to obtain the heat flux density attenuation. The attenuation ratio is obtained by dividing the heat flux density attenuation by the initial heat flux density value at the bottom of the floor. The degree of heat conduction loss at the bottom of the floor is determined based on the attenuation ratio, and a record of heat conduction loss at the bottom of the floor is generated.

4. The method for temperature control of polyvinyl chloride resilient flooring according to claim 3, characterized in that, The summarized measuring points form a list of dry measuring points containing measuring point numbers and moisture content values, including: Compare the surface moisture content of the self-leveling layer at each measuring point with the preset lower limit threshold of the drying range; Query the spatial coordinates of the paving area where the low moisture content measuring point is below the preset lower limit threshold of the drying range; Query the floor heating circuit number corresponding to the spatial coordinates and generate a spatial positioning record; Determine the monitoring grid unit where each low moisture content measuring point is located; The surface drying state of the self-leveling layer is determined by calculating the difference between the moisture content values ​​at each low moisture content measuring point and the lower limit threshold of the preset drying range. Summarize the moisture content values, spatial coordinates, underfloor heating circuit numbers, monitoring grid units, and the surface dryness of the self-leveling layer to form a list of dryness measurement points.

5. The method for temperature control of polyvinyl chloride resilient flooring according to claim 1, characterized in that, The step of selecting measurement points whose heat conduction loss exceeds a preset threshold from the heat conduction loss of the floor surface, and grouping adjacent measurement points exceeding the threshold into the same region according to their spatial location, to obtain a set of excessively dry regions and the average heat conduction loss corresponding to the set of excessively dry regions, includes: Read the heat flux density attenuation ratio at each drying measurement point; Compare the heat flux density attenuation ratio with a preset heat conduction loss threshold; Under the condition that the heat flux density attenuation ratio is greater than the preset heat conduction loss threshold, the corresponding drying measurement point is marked as an over-threshold measurement point; All measurement points exceeding the threshold are compiled into a set of measurement points exceeding the threshold. Extract the spatial coordinates of each threshold measurement point in the threshold measurement point set; A density-based spatial clustering algorithm is used to perform clustering operations on the spatial coordinates. Obtain the pre-defined neighborhood radius parameter and minimum number of points parameter; Calculate the Euclidean distance between the horizontal and vertical coordinate data of each measurement point exceeding the threshold; Under the condition that the Euclidean distance is less than the neighborhood radius parameter, the corresponding overthreshold measurement points are assigned to the same spatial cluster, generating multiple spatial clusters containing adjacent overthreshold measurement points; For each spatial cluster, extract the boundary coordinates of each threshold measurement point within the spatial cluster; Determine the minimum and maximum values ​​of the horizontal coordinate data; Determine the minimum and maximum values ​​of the vertical axis data; The rectangular coverage area of ​​the spatial cluster is defined by the minimum and maximum values ​​of the horizontal coordinate data and the minimum and maximum values ​​of the vertical coordinate data; The rectangular coverage area is marked as an excessively dry region, and a set of excessively dry regions is generated; Extract the heat flux density attenuation ratio of all measurement points exceeding the threshold within the set of excessively dry regions; Calculate the arithmetic mean of the heat flux density decay ratio to generate the average heat conduction loss.

6. The method for temperature control of polyvinyl chloride resilient flooring according to claim 1, characterized in that, The step of determining the valve opening and heating rate of the corresponding underfloor heating circuit based on the set of excessively dry areas, the average heat conduction loss, and the current heating rate of the underfloor heating system includes: Read the area number and average heat flux density loss value of each excessively dry area; By comparing the average heat flux density loss value with the preset loss level threshold, a loss level identifier is generated for each over-drying region. Query the floor heating circuit number corresponding to each measuring point within the rectangular coverage area; The most frequently occurring floor heating circuit number is used as the main control circuit number for the excessively dry area. Obtain the current heating rate and current valve opening output from the floor heating controller; The pre-established valve opening adjustment table is queried based on the loss level identifier; Calculate the difference between the current valve opening and the valve opening reduction rate to generate the target valve opening. Calculate the difference between the current heating rate and the rate of decrease in the heating rate to generate the target heating rate.

7. The method for temperature control of polyvinyl chloride resilient flooring according to claim 1, characterized in that, The process of sending the valve opening and the heating rate to the corresponding underfloor heating circuit for execution, collecting the heat flux density of the floor surface in each area after execution, identifying unimproved areas where the heat flux density is lower than the initial floor surface heat flux density and the heat conduction state has not improved, and adjusting the valve opening of the circuit corresponding to the unimproved area to obtain a stable circuit valve opening includes: Extract the main control loop number for each over-drying zone; The generated target valve opening data is encapsulated into a control command data packet; The control command data packet is sent from the floor heating controller to the floor heating circuit corresponding to the main control circuit number to perform circuit parameter adjustment. Within a preset acquisition period after the control command data packet is executed, the heat flux density values ​​of the floor bottom surface at the measuring points in each over-drying area are continuously extracted. Compare the heat flux density value of the floor bottom surface after execution with the initial heat flux density value of the floor bottom surface at the corresponding measuring point collected during the system initialization phase; If the heat flux density value of the floor bottom surface after the execution is lower than the initial heat flux density value of the floor bottom surface, it is determined that the heat conduction state of the corresponding measuring point has not improved. The number of measuring points where the heat conduction state was not improved was counted; Compare the number of measurement points whose heat conduction state has not improved with a preset threshold for the number of measurement points whose heat conduction state has not improved. For excessively dry areas where the number of measurement points whose heat conduction status has not been improved is greater than the threshold for the number of unimproved measurement points, the corresponding areas are marked as unimproved areas. Obtain the real-time valve opening value of the current circuit, calculate the difference between the real-time valve opening value and the pre-configured opening decrease parameter, and generate the adjusted valve opening value. The adjusted valve opening value is sent to the corresponding circuit for control execution; The heat flux density acquisition and judgment process is triggered cyclically. If the number of measuring points where the heat conduction status has not improved is lower than the threshold value for the number of unimproved measuring points, extract the valve opening record value for the current corresponding circuit. The valve opening record value is set as the stable loop valve opening value for each region.

8. The method for temperature control of polyvinyl chloride resilient flooring according to claim 1, characterized in that, The step of controlling the output of the underfloor heating system according to the opening degree of the stable loop valve, collecting updated floor surface temperatures in each area, and identifying target areas where the surface temperature range converges to a preset stable range includes: Send a control command containing the opening parameters of the stabilization loop valves to the underfloor heating controller; Control the valve opening position of each heating circuit to maintain the valve opening parameters of the stable circuit; Within the preset temperature acquisition period after the underfloor heating output control, obtain the floor surface temperature values ​​of all measuring points in each excessively dry area; Extract the highest and lowest temperature values ​​within the region; The surface temperature range is obtained by calculating the difference between the highest temperature value and the lowest temperature value. Compare the surface temperature range of each over-dried region with a preset stable range threshold; If the surface temperature difference is less than a preset stable range threshold, the area is marked as a temperature stable area, and the system identification information of the temperature stable area is output.

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