Temperature and humidity control method and system for sports wood flooring based on temperature and humidity sensors

Abstract

This invention belongs to the field of intelligent venue environmental control and IoT automation technology, and discloses a method and system for temperature and humidity control of sports wood flooring based on temperature and humidity sensors. The method includes the following steps: S1, deploying multiple LoRa temperature and humidity sensor nodes in the gaps between the joists under the sports wood flooring, below the buried navigation lights, and in key areas at the four corners of the venue, and uploading the temperature and humidity data collected by each LoRa sensor node to an edge gateway via a LoRa gateway; S2, the edge gateway divides the sealed cavity under the sports wood flooring into multiple control zones according to the venue's planar grid and the airflow direction under the floor. This method and system for temperature and humidity control of sports wood flooring based on temperature and humidity sensors, through the edge gateway performing zoned weighted processing of distributed sensor data, and combining hysteresis comparison logic to set start / stop threshold ranges and dead zones, significantly solves the problems of single-point misjudgment, uneven local dehumidification, and frequent equipment start / stop.

Description

Technical Field

[0001] This invention relates to the field of intelligent venue environmental control and Internet of Things automation technology, specifically to a method and system for temperature and humidity control of sports wood flooring based on temperature and humidity sensors. Background Technology

[0002] Sports wood flooring is widely used in large-span indoor spaces such as stadiums, performing arts centers, large conference centers, and exhibition halls. This type of flooring is usually composed of a surface layer, a joist structure, and an underlying support space. The space under the flooring is prone to forming a relatively closed or semi-closed air cavity. Due to the large area of ​​the venue, significant changes in the intensity of personnel activities, frequent entry of outdoor humid air, and the influence of the airflow under the flooring on the joists, wall boundaries, and equipment foundations, the temperature and humidity conditions under different locations under the sports wood flooring often vary significantly. If the space under the flooring is in a state of high humidity or localized humidity accumulation for a long time, it can easily affect the dimensional stability and service life of the wood flooring, and may lead to problems such as mold, swelling, and deformation.

[0003] Existing methods for moisture control in sports wood flooring mainly include regular manual ventilation by opening windows, manual operation of portable dehumidifiers, installing a small number of temperature and humidity sensors under the floor or in the venue and controlling the start and stop of fans according to fixed thresholds, and using blowers to directly supply air to the joist cavity under the wood floor. These methods are relatively simple in structure and have low deployment costs, and can improve the air humidity under the floor to a certain extent. However, in large-span venues, temperature and humidity data collected at single points or a small number of points are easily affected by local airflow, sunlight, equipment heat sources or installation locations, making it difficult to accurately reflect the overall or zoned humidity distribution under the sports wood floor. This can easily lead to problems such as localized areas being damp but the control system not responding in time, or short-term fluctuations in local sensors causing false triggering. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for controlling the temperature and humidity of sports wood flooring based on a temperature and humidity sensor, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling the temperature and humidity of sports wood flooring based on a temperature and humidity sensor, comprising the following steps: S1. Install multiple LoRa temperature and humidity sensor nodes in the gaps between the joists under the sports wood floor, under the buried navigation guide lights, and in key areas at the four corners of the venue, and upload the temperature and humidity data collected by each LoRa temperature and humidity sensor node to the edge gateway through the LoRa gateway. S2. The edge gateway divides the sealed cavity under the sports wood floor into multiple control zones according to the venue's planar grid and the airflow direction under the floor. S3. For any control zone, the edge gateway collects data from multiple LoRa temperature and humidity sensor nodes within and near the control zone, and uses a spatiotemporal weighted fusion algorithm to calculate the comprehensive humidity index of the control zone. S4. The edge gateway calculates the dynamic compensation amount of environmental load based on the outdoor dew point temperature, the floor safe storage reference dew point and the moisture load coefficient mapped by the venue schedule, and generates the start-up threshold and stop threshold of the ventilation equipment by combining the reference humidity and the hysteresis dead zone. S5. When the comprehensive humidity index is greater than the start threshold, control the ventilation equipment of the corresponding control zone to start; when the comprehensive humidity index is less than the stop threshold, control the ventilation equipment of the corresponding control zone to stop. S6. When the LoRa temperature and humidity sensor node goes offline or the edge gateway fails to upload data, the edge gateway marks the abnormal node and switches to the data of a nearby redundant node or enables a conservative ventilation strategy. After communication is restored, data synchronization and calibration are performed.

[0006] As a further step, in S1, the LoRa temperature and humidity sensor node is powered by a low-power dry battery, and the acquisition range is -20℃ to 70℃ and 5%RH to 95%RH; the LoRa temperature and humidity sensor node is aggregated by the LoRa gateway and then connected to the edge computing gateway, and the edge computing gateway communicates with the cloud platform through the MQTT protocol.

[0007] As a further step, in S3, the spatiotemporal weighted fusion algorithm includes: determining spatial weights based on the Euclidean distance from the LoRa temperature and humidity sensor node to the geometric center of the corresponding control zone, and determining a time trend correction factor based on the humidity change trend of the LoRa temperature and humidity sensor node in the past time window, so that the LoRa temperature and humidity sensor node that is closer to the geometric center of the control zone and has a more obvious humidity increase trend contributes more to the comprehensive humidity index.

[0008] As a further step, the spatial weight is determined using an inverse distance weighting method, and the distance attenuation index is preferably 2; the time trend correction factor is determined based on the sliding average humidity of the LoRa temperature and humidity sensor node within a past time window or the humidity change trend within a past time window, wherein the past time window is preferably 30 minutes, and the trend sensitivity coefficient is preferably 0.1 to 0.3.

[0009] Furthermore, in S4, the start threshold, stop threshold, and dynamic compensation amount for environmental load are determined by the following formulas: ; ; ; in, As the baseline humidity, This is a hysteresis dead zone. For real-time outdoor dew point temperature, The baseline dew point for safe floor storage. The moisture load factor mapped to the venue schedule. and This is the adjustment coefficient.

[0010] As a further point, the aforementioned Preferably 3%RH; Preferably 12℃; The value is 0 when there is no activity, 0.3 during routine training, and 0.6 during large-scale events or sold-out performances; Preferably 0.5, the The preferred version is 2.0.

[0011] As a further step, in S6, the edge gateway has data cleaning, disconnection caching, and protocol conversion functions; when the cloud platform communication is interrupted, the edge gateway performs control based on the locally cached data, and uploads the data during the disconnection period to the cloud platform after communication is restored.

[0012] As a further step, in S3, before calculating the comprehensive humidity index, the edge gateway performs validity screening on the data uploaded by the LoRa temperature and humidity sensor nodes. The validity screening includes field integrity verification, timestamp validity verification, sensor range verification, adjacent sampling abrupt change verification, and humidity median deviation verification within the same control zone. LoRa temperature and humidity sensor nodes that do not meet any of the verification conditions are marked as abnormal nodes in the current calculation cycle and will not participate in the comprehensive humidity index calculation of that control zone for the time being.

[0013] A temperature and humidity control system for sports wood flooring based on a temperature and humidity sensor, used to execute the above method, the system comprising: Multiple LoRa temperature and humidity sensor nodes are deployed in the gaps between the joists under the sports wood flooring, under the buried navigation lights, and in key areas at the four corners of the venue; A LoRa gateway is used to aggregate temperature and humidity data uploaded by multiple LoRa temperature and humidity sensor nodes; Edge gateways are used for data cleaning, disconnection caching, protocol conversion, control partitioning, comprehensive humidity index calculation, dynamic hysteresis threshold calculation, and degradation control in case of communication anomalies. The central control unit or cloud platform is used to display temperature and humidity data and the status of ventilation equipment, and provides an interface for switching between manual and automatic modes; The ventilation actuator includes a smart socket and a low-pressure blower or air curtain controlled by the smart socket; The low-pressure blower or air curtain machine is installed at the bottom of the side wall of the venue or at the boundary area of ​​the sports wood floor to provide directional ventilation to the sealed cavity under the sports wood floor. A guide hood is installed below the air outlet of the air curtain machine to ensure that the airflow flows parallel to the floor surface.

[0014] Compared with the prior art, the beneficial effects of the present invention are: the temperature and humidity control method and system for sports wood flooring based on temperature and humidity sensors: 1. Multi-node temperature and humidity data fusion and anti-frequent start-stop control algorithm: The distributed sensor data is partitioned and weighted through the edge gateway, and start-stop threshold range and dead zone are set by combining hysteresis comparison logic, which greatly solves the problems of single-point misjudgment, uneven local dehumidification and frequent equipment start-stop.

[0015] 2. Reliable IoT communication architecture based on LoRa and edge gateway: The architecture adopts LoRa long-distance penetration networking + edge gateway local protocol parsing, data filtering and disconnection caching + MQTT reliable uplink mechanism to ensure real-time data transmission and high reliability with low packet loss rate in large metal stadium structures.

[0016] 3. Directional airflow replacement and low-noise ventilation matching technology: In response to the airflow characteristics of the sealed cavity under the wooden floor, an innovative air curtain machine / directional air guide structure is adopted to replace the traditional direct blower, and the smoothness of the air duct at the lower edge of the air outlet is optimized, so as to reduce the operating noise to a compliant range while ensuring dehumidification efficiency.

[0017] 4. Dual-mode control with cloud-edge-device collaboration and smooth dynamic parameter adjustment: The central control platform supports seamless switching between remote / local manual and automatic modes; when dynamically adjusting thresholds or modes, soft start / soft stop control curves are used to avoid mechanical shock to the fan and sudden noise changes, thereby improving the human-machine interaction experience and equipment lifespan. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the method flow of the present invention; Figure 2 This is a schematic diagram of the control system structure of the present invention; Figure 3 This is a schematic diagram of the control partition and multi-node spatiotemporal weighted fusion logic of the present invention; Figure 4 This is a schematic diagram of the dynamic hysteresis threshold generation and ventilation equipment start-stop control logic of the present invention; Figure 5 This is a schematic diagram of the communication fault tolerance and degradation control process of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figures 1-5 The present invention provides the following technical solution: This embodiment provides a method and system for controlling the temperature and humidity of sports wood flooring based on temperature and humidity sensors. The method can be executed by an edge gateway, or by the edge gateway, central control terminal and cloud platform working together. The system includes multiple LoRa temperature and humidity sensor nodes, a LoRa gateway, an edge gateway, a central control terminal or cloud platform and a ventilation execution unit.

[0021] The system includes: LoRa temperature and humidity sensor nodes for collecting temperature and humidity data of the sealed cavity and surrounding area under the sports wood flooring; LoRa gateways for aggregating data uploaded by multiple LoRa temperature and humidity sensor nodes; edge gateways for data cleaning, disconnection caching, protocol conversion, control zone division, comprehensive humidity index calculation, dynamic hysteresis threshold calculation, and degradation control in case of communication anomalies; central control unit or cloud platform for displaying temperature and humidity data and ventilation equipment status, and providing a manual and automatic mode switching interface; and ventilation execution units including smart sockets and low-pressure blowers or air curtains controlled by the smart sockets, with a guide hood installed below the air outlet of the air curtain to ensure that the airflow flows parallel to the floor surface.

[0022] In this embodiment, the temperature and humidity control method for sports wood flooring based on temperature and humidity sensors includes the following steps: S1. Install multiple LoRa temperature and humidity sensor nodes in the gaps between the joists under the sports wood floor, under the buried navigation guide lights, and in key areas at the four corners of the venue, and upload the temperature and humidity data collected by each LoRa temperature and humidity sensor node to the edge gateway through the LoRa gateway. S2. The edge gateway divides the sealed cavity under the sports wood floor into multiple control zones according to the venue's planar grid and the airflow direction under the floor. S3. For any control zone, the edge gateway collects data from multiple LoRa temperature and humidity sensor nodes within and near the control zone, and uses a spatiotemporal weighted fusion algorithm to calculate the comprehensive humidity index of the control zone. S4. The edge gateway calculates the dynamic compensation amount of environmental load based on the outdoor dew point temperature, the floor safe storage reference dew point and the moisture load coefficient mapped by the venue schedule, and generates the start-up threshold and stop threshold of the ventilation equipment by combining the reference humidity and the hysteresis dead zone. S5. When the overall humidity index is greater than the start threshold, control the ventilation equipment of the corresponding control zone to start; when the overall humidity index is less than the stop threshold, control the ventilation equipment of the corresponding control zone to stop. S6. When the LoRa temperature and humidity sensor node goes offline or the edge gateway fails to upload data, the edge gateway marks the abnormal node and switches to the data of a nearby redundant node or enables a conservative ventilation strategy. After communication is restored, data synchronization and calibration are performed.

[0023] S1: LoRa Temperature and Humidity Sensor Node Deployment and Data Upload In this embodiment of the application, multiple LoRa temperature and humidity sensor nodes are deployed in the gaps between the joists under the sports wood flooring, below the buried navigation guide lights, and in key areas at the four corners of the venue. When the temperature and humidity data collected by each LoRa temperature and humidity sensor node is uploaded to the edge gateway via the LoRa gateway, it is specifically used for: LoRa temperature and humidity sensor nodes are installed in the gaps between the joists under the sports wood flooring to collect temperature and humidity data in the sealed cavity under the sports wood flooring. LoRa temperature and humidity sensor nodes are deployed below the underground navigation guide lights to collect temperature and humidity data near the equipment installation area under the floor. LoRa temperature and humidity sensor nodes were deployed in key areas at the four corners of the venue to collect temperature and humidity data of the venue's boundary areas. The LoRa gateway receives temperature and humidity data uploaded by multiple LoRa temperature and humidity sensor nodes and forwards the data to the edge gateway.

[0024] Specifically, the LoRa temperature and humidity sensor node is powered by a low-power dry battery and has a sampling range of -20℃ to 70℃ and 5%RH to 95%RH. Each LoRa temperature and humidity sensor node collects temperature and humidity data at its location according to a preset sampling period and uploads them to the LoRa gateway via LoRa communication.

[0025] Specifically, after receiving the data uploaded by each LoRa temperature and humidity sensor node, the LoRa gateway aggregates and sends it to the edge computing gateway. The edge computing gateway communicates with the cloud platform via the MQTT protocol so that the cloud platform or central control terminal can receive, display and manage the temperature and humidity data of each control zone.

[0026] Furthermore, the edge gateway can store temperature and humidity data locally for a recent period of time, which can be used to calculate the comprehensive humidity index, determine the start and stop of ventilation equipment, and perform local control in case of communication failure.

[0027] In summary, by deploying multiple LoRa temperature and humidity sensor nodes in the gaps between the joists under the sports wood flooring, under the buried navigation lights, and in key areas at the four corners of the venue, this application can obtain distributed temperature and humidity sampling data. Compared with single-point sampling, this method can more comprehensively reflect the humidity distribution in the sealed cavity under the sports wood flooring in a large-area venue, providing a data foundation for subsequent zonal control.

[0028] S2: Control partitioning In this embodiment of the application, when the edge gateway divides the sealed cavity under the sports wood floor into multiple control zones according to the venue's planar grid and the airflow direction beneath the floor, it is specifically used for: Obtain the planar dimensions of the sports wood flooring installation area, the direction of the joists under the floor, the installation location of ventilation equipment, and the layout location of LoRa temperature and humidity sensor nodes; The sealed cavity beneath the sports wood flooring is divided into multiple planar areas according to the venue's grid layout. Based on the airflow direction beneath the floor, multiple planar areas are divided into multiple control zones; Establish corresponding partition numbers, node ranges, and ventilation equipment relationships for each control zone.

[0029] Specifically, the venue's planar grid can be determined based on the venue's length, width, and the actual area of ​​the wooden floor. The edge gateway determines the geometric range of each control zone based on the venue's planar grid and, in conjunction with the airflow direction under the floor, determines the airflow relationship between adjacent control zones.

[0030] Specifically, when a ventilation device primarily functions in one control zone, a correspondence is established between the ventilation device and that control zone; when a ventilation device can affect multiple control zones, the edge gateway establishes a correspondence between the ventilation device and the multiple control zones within its influence range.

[0031] Furthermore, the edge gateway can use LoRa temperature and humidity sensor nodes within the same control zone as primary sampling nodes and LoRa temperature and humidity sensor nodes in the vicinity as auxiliary sampling nodes, so as to consider the humidity influence of the local zone and the neighboring area when calculating the comprehensive humidity index.

[0032] In summary, by dividing the control zones according to the venue's grid and the airflow direction beneath the floor, this application enables the ventilation control of the sealed cavity beneath the sports wood floor to be transformed from uniform control across the entire venue to zoned control, thereby improving the responsiveness to localized high-humidity areas.

[0033] S3: Comprehensive Humidity Index Calculation In this embodiment of the application, when the edge gateway collects data from multiple LoRa temperature and humidity sensor nodes within and near any control zone, and calculates the comprehensive humidity index of the control zone using a spatiotemporal weighted fusion algorithm, it is specifically used for: The edge gateway divides the sealed cavity under the sports wood floor into M independent control zones according to the venue's planar grid and the airflow direction under the floor.

[0034] Regarding the first Each control zone is monitored in real time by the edge gateway, which collects data from the area within and adjacent to that control zone. Humidity data uploaded by each LoRa temperature and humidity sensor node; The edge gateway connects to the first LoRa temperature and humidity sensor node based on each LoRa sensor node. The Euclidean distance between the geometric centers of each control partition and the first control partition is used to determine the relative distance between each LoRa temperature and humidity sensor node and the first control partition. Spatial weights of each control partition; The edge gateway determines the corresponding time trend correction factor based on the humidity change trend of each LoRa temperature and humidity sensor node within the past time window; The edge gateway calculates the first step based on humidity data, spatial weights, and a time trend correction factor. The overall humidity index of each control zone.

[0035] Specifically, no. Each control partition in The overall humidity index at any given time is calculated using the following formula: in, For the first Each control partition in The overall humidity index at any given time. For the first The LoRa temperature and humidity sensor node relative to the first The weight of each control partition, For the first One LoRa temperature and humidity sensor node in Humidity values ​​collected at all times For the first Time trend correction factor corresponding to each LoRa temperature and humidity sensor node To participate in the The number of LoRa temperature and humidity sensor nodes calculated for each control zone.

[0036] Specifically, the spatial weights are modeled using the inverse distance weighting method. The LoRa temperature and humidity sensor node relative to the first Weight of each control partition Determine using the following formula: in For the first The LoRa temperature and humidity sensor node to the first Euclidean distance between the geometric centers of each control partition; The preferred distance decay index is... =2 By using this spatial weight, the LoRa temperature and humidity sensor node that is closer to the geometric center of the control zone and less affected by airflow interference will contribute more to the humidity judgment of the control zone.

[0037] Specifically, time trend correction factor Determine using the following formula: For the first The humidity value of each LoRa temperature and humidity sensor node at the corresponding moment in the past time window; The past time window is preferred to be 30 minutes. The trend sensitivity coefficient is preferably set to 0.1 to 0.3.

[0038] Furthermore, when the first When the humidity of a LoRa temperature and humidity sensor node shows a rapid upward trend within a past time window, the time trend correction factor increases, amplifying the influence of the LoRa temperature and humidity sensor node in the calculation of the comprehensive humidity index; when the humidity of the LoRa temperature and humidity sensor node does not rise significantly or is in a downward trend, its influence on the comprehensive humidity index is not amplified or is reduced accordingly.

[0039] Furthermore, the edge gateway performs the above-mentioned fusion calculation at a fixed period, preferably 5 seconds. In each calculation period, the edge gateway outputs the comprehensive humidity index sequence of each control zone and uses the comprehensive humidity index sequence as input data for subsequent dynamic hysteresis threshold comparison and ventilation equipment start-stop control.

[0040] In summary, through the above methods, this application does not use the humidity value of a single LoRa temperature and humidity sensor node as the control basis, nor does it use a simple arithmetic average of the humidity values ​​of each node. Instead, it considers both the spatial location of the node and the humidity change trend, so that the node that is closer to the target control zone and has a more obvious humidity increase trend has a higher contribution to the control decision. Therefore, the system can realize spatial interpolation and dynamic trend prediction of the humidity state of the sealed cavity under the sports wood floor, reducing the risk of single-point misjudgment, failure to respond to local humidity changes in a timely manner, and ventilation control lag.

[0041] S4: Dynamic Hysteresis Threshold Generation In this embodiment, when the edge gateway calculates the dynamic compensation amount of the environmental load based on the outdoor dew point temperature, the floor safety storage reference dew point, and the moisture load coefficient mapped from the venue schedule, and generates the start-up and stop thresholds for the ventilation equipment by combining the reference humidity and the hysteresis dead zone, it is specifically used for: Obtain real-time outdoor dew point temperature; Obtain the floor safety storage baseline dew point; Obtain the moisture load factor mapped from the venue schedule; The dynamic compensation amount of environmental load is calculated based on the real-time outdoor dew point temperature, the floor safe storage reference dew point, and the moisture dissipation load factor. The start-up and stop-down thresholds are calculated based on the baseline humidity, dynamic compensation of environmental load, and hysteresis dead zone.

[0042] Specifically, the activation threshold is determined according to the following formula: ,in As the activation threshold, As the baseline humidity, This is the dynamic compensation amount for environmental load. This is a hysteresis dead zone.

[0043] Specifically, the stopping threshold is determined according to the following formula: ,in This is the stopping threshold.

[0044] Specifically, the dynamic compensation amount for environmental load is determined according to the following formula: ,in For real-time outdoor dew point temperature, The baseline dew point for safe floor storage. The moisture load factor mapped to the venue schedule. and This is the adjustment coefficient.

[0045] Furthermore, Preferably, the RH level is 3%. The preferred temperature is 12℃; Take 0 when there is no activity, 0.3 during daily training, and 0.6 during major events or sold-out performances; The preferred value is 0.5. The preferred version is 2.0.

[0046] Furthermore, the real-time outdoor dew point temperature can be obtained through a meteorological interface or calculated from the temperature and humidity sensors installed at the venue's fresh air inlets. The venue schedule can be entered by the central control unit or mapped from the cloud platform after reading the venue's reservation or event schedule information.

[0047] In summary, by incorporating the moisture load coefficient mapped from the outdoor dew point temperature and the venue schedule into the threshold calculation, this application enables the start-up and stop thresholds to dynamically change according to the external moisture load and the venue's usage status. Through the setting of a hysteresis dead zone, this application can reduce the problem of frequent start-ups and shutdowns of ventilation equipment near the threshold. Furthermore, after a preset system operation time, the edge gateway or cloud platform reads the historical sequence of the comprehensive humidity index of each control zone, historical data of the outdoor dew point temperature, the moisture load coefficient corresponding to the venue schedule, the number of start-ups and shutdowns of ventilation equipment, the operating time, and the power consumption recorded by the smart socket. Based on the above data, the dew point compensation coefficient, the activity load compensation coefficient, the baseline humidity, and the hysteresis dead zone are periodically calibrated. This calibration does not change the basic logic of the temperature and humidity control method, but rather reduces ineffective operation and frequent start-ups and shutdowns of ventilation equipment while ensuring the safe humidity range of the sealed cavity under the sports wood floor.

[0048] S5: Ventilation equipment start / stop control In this embodiment, when the overall humidity index is greater than the start-up threshold, the ventilation equipment in the corresponding control zone is started; when the overall humidity index is less than the stop-down threshold, the ventilation equipment in the corresponding control zone is stopped. Specifically, this is used for: The edge gateway compares the overall humidity index of any control zone with the start-up threshold; When the overall humidity index exceeds the activation threshold, the edge gateway sends an activation control command to the ventilation equipment in the corresponding control zone. The edge gateway compares the overall humidity index of the ventilated control zone with the stop threshold; When the overall humidity index is less than the stop threshold, the edge gateway sends a shutdown control command to the ventilation equipment in the corresponding control zone.

[0049] Specifically, the ventilation equipment can be a low-pressure blower or an air curtain machine. The edge gateway can control the power supply status of the low-pressure blower or air curtain machine via a smart socket, thereby enabling the ventilation equipment to start or stop.

[0050] Specifically, when the overall humidity index of multiple control zones changes asynchronously, the edge gateway makes judgments on each control zone separately and controls the ventilation equipment of the corresponding control zone separately. Therefore, it is not necessary to start and stop all ventilation equipment in the entire venue at the same time.

[0051] Furthermore, the central control unit can display the comprehensive humidity index, start threshold, stop threshold, and current status of ventilation equipment for each control zone. Users can select manual or automatic mode on the central control unit. In automatic mode, the edge gateway performs control based on the comparison results of the comprehensive humidity index with the start and stop thresholds. In manual mode, users issue start or stop commands through the central control unit.

[0052] In summary, by comparing the comprehensive humidity index with the dynamic hysteresis threshold, this application can start or stop the ventilation equipment according to the actual humidity status of the control zone, thereby achieving zoned humidity control of the sealed cavity under the sports wood floor.

[0053] S6: Communication fault tolerance and degradation control In this embodiment, when the LoRa temperature and humidity sensor node goes offline or the edge gateway fails to upload data, the edge gateway marks the abnormal node and switches to data from a nearby redundant node or enables a conservative ventilation strategy. When data synchronization and calibration are performed after communication is restored, the specific purpose is as follows: Determine if the LoRa temperature and humidity sensor node is offline; When a LoRa temperature and humidity sensor node goes offline, the edge gateway marks the LoRa temperature and humidity sensor node as an abnormal node; For LoRa temperature and humidity sensor nodes that are marked as abnormal nodes, the edge gateway switches to nearby redundant node data to participate in the comprehensive humidity index calculation of the corresponding control zone. When the corresponding control partition lacks available neighboring redundant node data, the edge gateway enables a conservative ventilation strategy. Once communication is restored, the edge gateway performs data synchronization calibration.

[0054] Specifically, the edge gateway has data cleaning, disconnection caching, and protocol conversion functions. Data cleaning is used to parse and filter the data uploaded by the LoRa gateway; disconnection caching is used to save locally collected and control data when communication with the cloud platform is interrupted; and protocol conversion is used to convert the data uploaded by the LoRa gateway into a data format that can be recognized by the central control terminal or the cloud platform.

[0055] Specifically, when communication with the cloud platform is interrupted, the edge gateway continues to perform control based on local cached data, and does not stop the humidity protection of the sealed cavity under the sports wood floor due to the interruption of cloud platform communication. After communication is restored, the edge gateway uploads the data during the disconnection period to the cloud platform so that the cloud platform can perform historical records, alarm tracing, or operational analysis.

[0056] Furthermore, the conservative ventilation strategy can be to start the ventilation equipment of the corresponding control zone according to the preset running time, or to extend the running time of the ventilation equipment of the corresponding control zone according to the historical humidity status. The data synchronization calibration after communication is restored includes re-accessing the node data after communication is restored and updating the calculation basis of the comprehensive humidity index of the corresponding control zone.

[0057] In summary, by using abnormal node marking, switching to nearby redundant nodes, conservative ventilation strategies, and synchronous calibration after communication recovery, this application can maintain basic humidity control capabilities when LoRa temperature and humidity sensor nodes are offline or edge gateways fail to upload data, thereby improving the reliability of system operation in complex venue environments.

[0058] In this application embodiment, a temperature and humidity control system for sports wood flooring based on temperature and humidity sensors is also provided for executing the above-mentioned temperature and humidity control method. The system includes multiple LoRa temperature and humidity sensor nodes, a LoRa gateway, an edge gateway, a central control terminal or cloud platform, and a ventilation execution unit.

[0059] Specifically, multiple LoRa temperature and humidity sensor nodes are deployed in the gaps between the joists under the sports wood flooring, under the underground navigation lights, and in key areas at the four corners of the venue to collect temperature and humidity data.

[0060] Specifically, the LoRa gateway is used to aggregate temperature and humidity data uploaded by multiple LoRa temperature and humidity sensor nodes and forward the temperature and humidity data to the edge gateway.

[0061] Specifically, the edge gateway is used for data cleaning, disconnection caching, protocol conversion, control partitioning, comprehensive humidity index calculation, dynamic hysteresis threshold calculation, and degradation control in case of communication anomalies.

[0062] Specifically, the central control unit or cloud platform is used to display temperature and humidity data and the status of ventilation equipment, and provides an interface for switching between manual and automatic modes.

[0063] Specifically, the ventilation execution unit includes a smart socket and a low-pressure blower or air curtain machine controlled by the smart socket. The low-pressure blower or air curtain machine is installed at the bottom of the side wall of the venue or in the boundary area of ​​the sports wood floor to provide directional ventilation to the sealed cavity under the sports wood floor.

[0064] Furthermore, the smart socket can receive control commands from the edge gateway or central control terminal, and control the power supply status of the low-pressure blower or air curtain machine according to the control commands. The smart socket can also record the operating status of the ventilation equipment and feed the operating status back to the edge gateway or central control terminal.

[0065] In summary, through the above system structure, this embodiment forms a temperature and humidity control chain consisting of LoRa temperature and humidity sensor node acquisition—LoRa gateway aggregation—edge gateway calculation and control—central control terminal or cloud platform display—ventilation execution unit action, which can automatically control the temperature and humidity of the sealed cavity under the sports wood floor.

[0066] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for controlling the temperature and humidity of sports wood flooring based on a temperature and humidity sensor, characterized in that: Includes the following steps: S1. Install multiple LoRa temperature and humidity sensor nodes in the gaps between the joists under the sports wood floor, under the buried navigation guide lights, and in key areas at the four corners of the venue, and upload the temperature and humidity data collected by each LoRa temperature and humidity sensor node to the edge gateway through the LoRa gateway. S2. The edge gateway divides the sealed cavity under the sports wood floor into multiple control zones according to the venue's planar grid and the airflow direction under the floor. S3. For any control zone, the edge gateway collects data from multiple LoRa temperature and humidity sensor nodes within and near the control zone, and uses a spatiotemporal weighted fusion algorithm to calculate the comprehensive humidity index of the control zone. S4. The edge gateway calculates the dynamic compensation amount of environmental load based on the outdoor dew point temperature, the floor safe storage reference dew point and the moisture load coefficient mapped by the venue schedule, and generates the start-up threshold and stop threshold of the ventilation equipment by combining the reference humidity and the hysteresis dead zone. S5. When the comprehensive humidity index is greater than the start threshold, control the ventilation equipment of the corresponding control zone to start; when the comprehensive humidity index is less than the stop threshold, control the ventilation equipment of the corresponding control zone to stop. S6. When the LoRa temperature and humidity sensor node goes offline or the edge gateway fails to upload data, the edge gateway marks the abnormal node and switches to the data of a nearby redundant node or enables a conservative ventilation strategy. After communication is restored, data synchronization and calibration are performed.

2. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 1, characterized in that: In S1, the LoRa temperature and humidity sensor node is powered by a low-power dry battery and has a measurement range of -20℃ to 70℃ and 5%RH to 95%RH. The LoRa temperature and humidity sensor node is aggregated by the LoRa gateway and then connected to the edge computing gateway. The edge computing gateway communicates with the cloud platform through the MQTT protocol.

3. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 1, characterized in that: In S3, the spatiotemporal weighted fusion algorithm includes: determining spatial weights based on the Euclidean distance from the LoRa temperature and humidity sensor node to the geometric center of the corresponding control zone, and determining a time trend correction factor based on the humidity change trend of the LoRa temperature and humidity sensor node in the past time window, so that the LoRa temperature and humidity sensor node that is closer to the geometric center of the control zone and has a more obvious humidity increase trend contributes more to the comprehensive humidity index.

4. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 3, characterized in that: The spatial weights are determined using an inverse distance weighting method, and the distance attenuation index is preferably 2; the time trend correction factor is determined based on the sliding average humidity of the LoRa temperature and humidity sensor node within a past time window, where the past time window is preferably 30 minutes, and the trend sensitivity coefficient is preferably 0.1 to 0.

3.

5. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 1, characterized in that: In S4, the start threshold, stop threshold, and dynamic compensation amount for environmental load are determined by the following formulas: ； ； ； in, As the baseline humidity, This is a hysteresis dead zone. For real-time outdoor dew point temperature, The baseline dew point for safe floor storage. The moisture load factor mapped to the venue schedule. and This is the adjustment coefficient.

6. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 5, characterized in that: The Preferably 3%RH; Preferably 12℃; The value is 0 when there is no activity, 0.3 during routine training, and 0.6 during large-scale events or sold-out performances; Preferably 0.5, the The preferred version is 2.

0.

7. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 1, characterized in that: In S6, the edge gateway has data cleaning, disconnection caching and protocol conversion functions; when the cloud platform communication is interrupted, the edge gateway performs control based on the locally cached data, and uploads the data during the disconnection period to the cloud platform after the communication is restored.

8. The temperature and humidity control method for sports wood flooring based on a temperature and humidity sensor according to claim 1, characterized in that: In S3, before calculating the comprehensive humidity index, the edge gateway performs validity screening on the data uploaded by the LoRa temperature and humidity sensor nodes. The validity screening includes field integrity verification, timestamp validity verification, sensor range verification, adjacent sampling abrupt change verification, and humidity median deviation verification within the same control zone. LoRa temperature and humidity sensor nodes that do not meet any of the verification conditions are marked as abnormal nodes in the current calculation cycle and will not participate in the comprehensive humidity index calculation of that control zone for the time being.

9. A temperature and humidity control system for sports wood flooring based on a temperature and humidity sensor, characterized in that: The system for performing the method according to any one of claims 1 to 8, the system comprising: Multiple LoRa temperature and humidity sensor nodes are deployed in the gaps between the joists under the sports wood flooring, under the buried navigation lights, and in key areas at the four corners of the venue; A LoRa gateway is used to aggregate temperature and humidity data uploaded by multiple LoRa temperature and humidity sensor nodes; Edge gateways are used for data cleaning, disconnection caching, protocol conversion, control partitioning, comprehensive humidity index calculation, dynamic hysteresis threshold calculation, and degradation control in case of communication anomalies. The central control unit or cloud platform is used to display temperature and humidity data and the status of ventilation equipment, and provides an interface for switching between manual and automatic modes; The ventilation actuator includes a smart socket and a low-pressure blower or air curtain controlled by the smart socket; The low-pressure blower or air curtain machine is installed at the bottom of the side wall of the venue or at the boundary area of ​​the sports wood floor to provide directional ventilation to the sealed cavity under the sports wood floor. A guide hood is installed below the air outlet of the air curtain machine to ensure that the airflow flows parallel to the floor surface.

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