Disaster prevention linkage control system for facility agriculture parks based on three-dimensional microclimate monitoring

Abstract

The present invention discloses a disaster prevention linkage control system for a facility agriculture park based on three-dimensional microclimate monitoring, specifically involving the field of linkage control of agricultural facilities, and specifically includes the following steps: by deploying a high-precision temperature and other parameter sensor network composed of multiple layers of surface, plant height, and roof in the park, a three-dimensional perception system covering the entire park is constructed to collect and monitor temperature data in real time; data fusion and dynamic analysis of temperatures within different layers are performed to establish an accurate prediction for the spread of complex thermal surge behaviors within the park, and to identify potential high-risk areas for thermal surge behavior changes; at the same time, a zoning response mechanism and refined control methods are introduced, and by configuring adjustable devices such as local blowing devices, automatic shading devices, and micro-sprinkler irrigation equipment, accurate responses and differentiated control of different areas are achieved. The shift from overall protection to precise protection has improved the timeliness and response accuracy of disaster prevention.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster prevention linkage control, and more specifically, to a disaster prevention linkage control system for a facility agriculture park based on three-dimensional microclimate monitoring. Background Art

[0002] In current facility agriculture parks, sudden heat damage incidents frequently occur under high-temperature conditions. However, existing temperature monitoring and disaster response systems are mostly based on static climate analysis and judgment of the entire region, making it difficult to identify abnormally high temperatures at the microscale within the park. In complex park structures, due to significant vertical temperature differences between greenhouse roofs, plant canopies, and the ground surface, single-layer sensing methods often fail to capture the potential heat damage risks brought about by localized temperature jumps. Furthermore, existing disaster prevention device deployment strategies often rely on fixed linkage or full-area activation, failing to differentiate responses based on the behavioral characteristics of high-temperature events. This results in poorly targeted disaster prevention and delayed protective responses. The diverse behavior of heat damage, such as transport, spread, and localized containment, exhibits distinct spatial evolution mechanisms in actual disasters, but current systems lack the ability to structurally distinguish these, hindering the design of targeted prevention and control strategies. Specifically, at the equipment control level, equipment deployment and response strategies are not coordinated based on the spatial structure of heat shock behavior. This creates a disconnect between the operation of disaster prevention equipment and the behavior of heat damage, limiting the park's disaster prevention and control capabilities. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a disaster prevention linkage control system for a facility agriculture park based on three-dimensional microclimate monitoring to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] The disaster prevention linkage control system for facility agriculture parks based on three-dimensional microclimate monitoring includes a temperature sensing module, a thermal surge slope area recognition module, a thermal surge behavior recognition module, a control network construction module, a control area division module, and a linkage control module, among which:

[0006] The temperature sensing module establishes a three-dimensional temperature sensing network in the greenhouse roof, plant canopy and surface area within the facility agriculture park according to the preset spatial grid;

[0007] The thermal surge slope area identification module constructs a spatial temperature gradient field based on the collected temperature data and identifies the thermal surge slope area;

[0008] The thermal surge behavior identification module performs temperature rise time series evolution analysis on the thermal surge slope area, and classifies the thermal surge behavior type based on the temperature change trend and boundary expansion mode of the thermal surge slope area;

[0009] The control network construction module divides the physical intervention capabilities of the deployed disaster prevention and response equipment and establishes a linkage control network for the disaster prevention and response equipment;

[0010] The control area division module is based on the identified hot soil slope area boundary, expanding to form a first-level response area and a second-level buffer zone, and constructing a control action area with a hierarchical spatial structure;

[0011] The linkage control module generates differentiated control instruction sets for all disaster prevention response equipment in the control area and executes regional disaster prevention linkage control.

[0012] In a preferred embodiment, the temperature sensing module establishes a three-dimensional temperature sensing network in the roof, plant canopy and surface area of ​​the facility agriculture park according to a preset spatial grid, specifically including:

[0013] Based on the structural layout of the facility agriculture park, the boundary range and layer height values ​​of three types of temperature monitoring areas are set: roof, plant canopy and ground surface;

[0014] Perform horizontal and vertical equal-interval division in each monitoring area to construct a two-dimensional grid point set with hierarchical identification;

[0015] The corresponding level height values ​​are superimposed on the two-dimensional grid point coordinates to construct a three-dimensional sampling point set with complete spatial positioning and sorted by grid number;

[0016] The sampling period, data channel and unified sampling reference time are configured for each three-dimensional sampling point, and the temperature data acquisition task is performed to output three-dimensional temperature time series data with a hierarchical structure.

[0017] In a preferred embodiment, the thermal surge slope region identification module constructs a spatial temperature gradient field based on the collected temperature data, and identifying the thermal surge slope region specifically includes:

[0018] Extract the continuous temperature change value sequence of all three-dimensional sampling points within the target analysis time window from the three-dimensional temperature time series data;

[0019] The temperature difference calculation is performed on the coordinate pairs of adjacent two-dimensional grid points in the same level, and converted into temperature gradient values ​​according to the spatial spacing to construct the local spatial temperature gradient grid;

[0020] Perform a preset high gradient threshold discrimination operation on the temperature gradient field, screen the regional point set that meets the continuous high gradient condition, and aggregate it into an initial thermal spike fragment set based on the spatial adjacency relationship;

[0021] The area continuity and gradient consistency judgment are performed on the set of thermal burst fragments to identify the thermal burst slope area.

[0022] In a preferred embodiment, the thermal surge behavior identification module performs a temperature rise time series evolution analysis on the thermal surge slope area, and classifies the thermal surge behavior types based on the temperature change trend and boundary expansion mode of the thermal surge slope area, specifically including:

[0023] The temperature rise rate between adjacent time points in the hot soil slope area is calculated using the time difference method. The first-order difference of the rate curve is performed to extract the inflection point and identify the change trend of the regional temperature rise structure.

[0024] Extract the position change of the outer edge points of the thermal surge slope area in continuous time sections, generate the boundary movement vector sequence, and identify the boundary expansion mode;

[0025] A joint classification rule is set to perform joint discrimination on the regional temperature rise structure and boundary extension mode, and the thermal surge behavior type label of each thermal surge slope area is marked, where the thermal surge behavior types include spreading type, closed type and transfer type.

[0026] In a preferred embodiment, the control network construction module divides the physical intervention capabilities of the deployed disaster prevention response equipment and establishes a linkage control network for the disaster prevention response equipment, specifically including:

[0027] Based on the physical intervention characteristics of disaster prevention response equipment, three types of disaster prevention response equipment are defined: surface control type, point control type, and flow control type;

[0028] Set numbers for all disaster response equipment and build a key-value correspondence structure between equipment numbers and equipment type tags;

[0029] Determine the overlap between the deployment area of ​​each disaster prevention response device and the three-dimensional grid coordinates, and record the grid number to which the disaster prevention response device belongs;

[0030] Obtain physical connection links between disaster prevention and response equipment and establish communication control channels to build a device linkage network with a trigger structure.

[0031] In a preferred embodiment, the control area division module is based on the identified thermal surge slope area boundary, and is expanded to form a primary response area and a secondary buffer area. The construction of the control area with a hierarchical spatial structure specifically includes:

[0032] Perform boundary extraction on the boundary contours in the hot soil slope area structure, output the boundary coordinate point set and closed contour curve of each area, and mark the area within the closed contour curve as the first-level response area;

[0033] Preset the boundary extrapolation scale, set the secondary buffer zone construction strategy based on the thermal burst behavior type label, and expand the boundary of the primary response area based on the construction strategy to form a secondary buffer zone;

[0034] The coordinates of the first-level response areas and second-level buffer zones at different levels are aggregated to form an independent coordinate set of the hierarchical regulatory action areas.

[0035] In a preferred embodiment, the secondary buffer construction strategy is set according to the hot burst behavior type label as follows:

[0036] The boundary expansion velocity distribution of the spreading thermal surge slope area is extracted, and a continuous outer boundary closed zone is formed as a secondary buffer zone by extrapolating the velocity extreme value section in the direction of the boundary normal line.

[0037] Extrapolate the contour curve boundary of the closed thermal surge slope area and construct a closed-loop buffer zone with the same width as the boundary as the secondary buffer zone;

[0038] The movement trajectory of the transfer-type hot soil slope area is extracted, and a forward linear cutoff response structure belt is constructed by extrapolation along the movement direction. At the same time, symmetrical lateral auxiliary pre-cooling areas are constructed on both sides of the linear cutoff response structure belt to form a belt-shaped composite response structure as a secondary buffer zone.

[0039] In a preferred embodiment, the linkage control module generates a differentiated control instruction set for all disaster prevention response equipment in the control action area, and the execution of regional disaster prevention linkage control specifically includes:

[0040] Extract the primary response areas and secondary buffer zones in different regulatory action areas, and establish a spatial coordinate binding relationship with the disaster prevention response equipment based on the grid number to which the disaster prevention response equipment belongs;

[0041] Match all point-controlled devices within the first-level response area based on spatial coordinate binding relationships to generate a set of single-point control instructions for local precise execution;

[0042] In the secondary buffer, all surface control devices are matched according to the spatial coordinate binding relationship, and a surface control instruction set covering the buffer area is generated;

[0043] For the first-level response area of ​​the transport type, the flow control equipment in the corresponding layer is extracted, and a set of control instructions for the opposite intervention is generated along the moving direction of the thermal surge slope area;

[0044] All control command sets are synchronously sent to disaster prevention response equipment through communication control channels to implement regional disaster prevention linkage control.

[0045] The technical effects and advantages of the present invention's facility agriculture park disaster prevention linkage control system based on microclimate three-dimensional monitoring are as follows:

[0046] By constructing a multi-level three-dimensional temperature sensing network, it is possible to accurately collect the temperature status of areas at different heights in the facility agriculture park, effectively making up for the deficiency of the traditional single-level monitoring method in being unable to identify the hidden dangers of heat damage at a small scale. By constructing the spatial temperature gradient field and identifying the heat surge slope area, it is possible to capture the local high temperature evolution trend in advance, and classify and identify the heat surge behavior in combination with the time series and boundary change pattern, so as to accurately distinguish between the spreading type, the closed type and the transfer type of heat disaster. On this basis, a linkage network is constructed according to the structural characteristics of the heat surge behavior and the physical intervention capability of the disaster prevention equipment, and the action boundaries and coordination mechanisms of the point control, surface control and flow control equipment are established, so as to generate matching control response areas under the spatial hierarchical structure, and issue differentiated control instructions. Compared with the traditional unified control mode of the entire park, the present invention can realize precise linkage control in a smaller response unit, improve energy utilization efficiency and response timeliness, and effectively enhance the park's ability to respond to local heat disasters and its adaptive protection level. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a structural schematic diagram of the disaster prevention linkage control system of the facility agriculture park based on microclimate three-dimensional monitoring of the present invention. DETAILED DESCRIPTION

[0048] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0049] Example 1

[0050] Figure 1 The present invention provides a disaster prevention linkage control system for a facility agriculture park based on three-dimensional microclimate monitoring, including a temperature sensing module, a heat surge slope area recognition module, a heat surge behavior recognition module, a control network construction module, a control area division module, and a linkage control module, wherein:

[0051] The temperature sensing module establishes a three-dimensional temperature sensing network in the greenhouse roof, plant canopy and surface area within the facility agriculture park according to the preset spatial grid;

[0052] The thermal surge slope area identification module constructs a spatial temperature gradient field based on the collected temperature data and identifies the thermal surge slope area;

[0053] The thermal surge behavior identification module performs temperature rise time series evolution analysis on the thermal surge slope area, and classifies the thermal surge behavior type based on the temperature change trend and boundary expansion mode of the thermal surge slope area;

[0054] The control network construction module divides the physical intervention capabilities of the deployed disaster prevention and response equipment and establishes a linkage control network for the disaster prevention and response equipment;

[0055] The control area division module is based on the identified hot soil slope area boundary, expanding to form a first-level response area and a second-level buffer zone, and constructing a control action area with a hierarchical spatial structure;

[0056] The linkage control module generates differentiated control instruction sets for all disaster prevention response equipment in the control area and executes regional disaster prevention linkage control.

[0057] The temperature sensing module establishes a three-dimensional temperature sensing network in the roof, plant canopy and surface area within the facility agriculture park according to a preset spatial grid.

[0058] During the deployment of a temperature monitoring network in a facility agriculture park, temperature monitoring areas at different vertical levels are defined based on the typical structural layout. Within a park, distinct vertical structural layers are typically formed, primarily by the greenhouse roof structure, the crop canopy, and the ground surface. This layering can significantly vary in microclimate formation, heat accumulation, and air flow. Therefore, it is crucial to clearly define the boundaries and height coordinates of each layer to ensure hierarchical integrity and spatial accuracy for subsequent data collection. The definition process is based on the facility's architectural structure and crop type. The roof height typically ranges from 2.5 to 4 meters, with specific values ​​set based on the actual height structure of a steel arch greenhouse, glass greenhouse, or multi-span greenhouse. The plant canopy layer generally corresponds to the average height of the highest growing point of the crop's main stem. This can be manually measured during the peak growing season or based on historical data. For example, the canopy height for tomato crops is 1.2 to 1.8 meters. The ground layer, defined as the area within 10 centimeters above the ground or soil surface, reflects the bottom temperature variations caused by heat radiating from the ground. The entire monitoring area is expanded outward from the effective crop planting area by a certain buffer distance to ensure effective coverage of the marginal microclimate conditions. The default buffer width is set to 0.5 to 1 meter. Finally, the spatial boundaries and height levels of the three types of monitoring areas are calibrated.

[0059] After defining the layer boundaries, each layer is further divided into equally spaced grids horizontally (in the X-direction) and vertically (in the Y-direction) to form a well-structured set of two-dimensional temperature sampling grid points. The division process ensures that the spatial resolution of the grid is sufficient to accurately capture local thermal fluctuations. The default grid spacing is between 0.5 and 1 meter, and this spacing is adjusted based on the actual park area and the density of sensor devices. This avoids excessive spacing that prevents effective resolution of temperature gradients, or excessive spacing that results in redundant deployment and energy waste. After the two-dimensional division is complete, the vertical attributes of each monitoring layer are combined with their Z-axis identifiers and superimposed onto the two-dimensional coordinates to form a complete set of three-dimensional sampling points. Each 3D point has a unique spatial location (X, Y, Z), where Z is the actual height of the corresponding roof, canopy, or ground surface. A uniform numbering scheme is generated for all 3D points. Grid numbering follows a left-to-right, top-to-bottom order, maintaining a consistent hierarchical order across different Z-level data at the same X, Y, and Z locations.

[0060] Configure data collection parameters for each sampling point to ensure uniformity and comparability of collected data across time and space. First, the sampling period should be determined based on the park's heat damage response requirements and data processing capabilities. A range of 30 seconds to 5 minutes is generally recommended. If the park's primary focus is on preventing and controlling sudden heat events, a shorter sampling period can be used to capture rapid temperature rises. If the goal is long-term temperature control and microclimate trend analysis, a longer sampling period can be used to reduce system load. Each 3D point is clearly identified with a data channel to ensure the correct attribution of collected data during transmission and processing. Once the collection task is initiated, each point will collect temperature values ​​at a fixed interval and record a timestamp, generating structured temperature time series data. This data should be stored as "time-point-temperature value" triples, forming a multi-layered temperature dynamic database covering the roof, canopy, and ground surface. Data output can be generated to generate standardized datasets on an hourly, daily, or event-triggered basis.

[0061] The thermal surge slope region identification module constructs a spatial temperature gradient field based on the collected temperature data to identify the thermal surge slope region.

[0062] A representative time period is selected to establish a time window for extracting temperature evolution characteristics. This time window typically covers periods prone to daily heat surges, such as the four hours around noon, or periods of high heat risk designated by other meteorological warning conditions. This time window is kept uniform, and the corresponding time series temperature values ​​for all sampling points are directly indexed and extracted from the 3D temperature time series data to ensure data continuity and complete coverage. For each set of 2D grid points within the same hierarchy, the temperature change series for each point within this time window is extracted one by one. To construct a temperature gradient grid, the temperature difference between each pair of spatially adjacent 2D grid points is calculated at the same timestamp and divided by the actual spatial distance between the two points to obtain the instantaneous temperature gradient. This calculation applies only to the horizontal direction (X and Y axes), and gradient conversion is performed once for each pair of adjacent points, ultimately forming a 2D temperature gradient map for the entire area at the specified time. To ensure accuracy, spatial distance calculations should be based on the actual point spacing. The gradient calculation is performed on a time-series basis. This gradient conversion process is repeated for each time point within the analysis window, resulting in a three-dimensional data set of "time-location-gradient value" covering the entire two-dimensional monitoring layer of the entire park. Each layer independently constructs its own temperature gradient grid. The temperature gradient values ​​are stored and associated with their timestamps and spatial locations, forming a continuous sequence of local temperature gradient grids.

[0063] After the gradient grid is constructed, potential heat surge areas can be identified. First, a numerical threshold for identifying high gradients is set as the criterion for determining whether a sudden heat surge has occurred. This threshold should be based on historical high-temperature event data within the facility agriculture park and the heat sensitivity of different crops. For example, a gradient change of 0.8°C or more per meter can be used as the threshold for identification. This value is a fixed parameter, explicitly specified in the system settings and uniformly referenced during gradient determination. A temperature gradient grid is identified for each time section, filtering out all grid points with gradient values ​​greater than the set threshold to form a temporary high-gradient point set. To identify persistent heat surges, it is necessary to determine whether these points maintain a high gradient across multiple consecutive time sections throughout the analysis window. This continuity requirement is generally set to at least three consecutive time points to avoid misidentification due to short-term disturbances. All grid points meeting the persistent high gradient criteria are spatially aggregated. Spatial aggregation is based on the adjacency between grid points. Aggregation is performed using the 8-neighbor principle to form multiple connected subregions. Each subregion is defined as an initial heat surge segment, with information such as spatial morphology, area, duration, and location.

[0064] After obtaining the initial set of thermal spike segments, to improve the accuracy of the assessment and its practical relevance to disaster prevention, it is necessary to select regions with continuous area distribution and consistent gradient directions as the final thermal spike slope regions. These regions are defined as areas where the local spatial gradient value in the temperature gradient field exceeds a preset threshold and where the temperature exhibits a rapid upward trend in the time series (i.e., regions with both significant spatial slope and temporal abrupt changes). When performing area continuity assessment, the coverage area of ​​each initial segment must be at least the minimum response unit area (set based on a combination of the grid size and the spatial coverage capability of the device; the default setting is the grid area). The minimum response unit area matches the spatial coverage capability of the actual response device. For segments that meet the area requirement, gradient direction consistency is assessed. This process involves calculating the gradient direction vectors of all high-gradient points within the segment and determining whether they point in the same direction within a certain angular tolerance. For example, if the gradient directions of the majority (e.g., 80%) of the points are consistent within a specific angular range (e.g., a 45-degree tolerance), the gradient direction is considered consistent. This assessment ensures that the identified areas represent spatially explainable trends in thermal outburst evolution, rather than clusters of high gradients caused by random fluctuations. All thermal outburst segments that meet the requirements of area continuity and gradient consistency are identified as thermal outburst slope areas. Each thermal outburst slope area requires a spatial index, average temperature gradient value, start and end times, and coordinates of its level and location.

[0065] The thermal surge behavior identification module performs a temperature rise time series evolution analysis on the thermal surge slope area, and classifies the thermal surge behavior type based on the temperature change trend and boundary expansion mode of the thermal surge slope area.

[0066] The temperature rise rate is calculated using the time difference method. This method divides the difference in the average temperature between two adjacent time points by the corresponding time interval to produce a temperature rise rate series. This series reflects the variation in the intensity of the temperature rise within the region throughout the entire analysis time window, revealing the trend of thermal spike behavior. To identify stage changes during the temperature rise process, a first-order difference operation is performed on the rate curve to extract the variation in the temperature rise rate and identify inflection points in the rate series. These inflection points correspond to turning points where the temperature rise rate accelerates or decelerates, indicating the structural stages of temperature evolution within the thermal spike slope region. For example, if the rate shows a significant increase in the middle section followed by a rapid decline, it indicates that the region has experienced a rapid thermal spike followed by a stabilization process. Parameters such as the number, location, and magnitude of the inflection points can be used to categorize the temperature rise structure and, accordingly, uniformly label it to form a description of the temperature rise structure within the thermal spike slope region. Among them, the specific method of determining the temperature change trend type is: for each set of temperature rise trajectories in the thermal surge slope area, the average temperature rise rate and its first-order derivative value in the continuous time window are calculated, and the inflection point position is recorded; if the number of inflection points is not greater than 1, and the temperature rise rate is in a continuous growth state on the time axis, then the temperature rise process in this area is judged to be "continuous enhancement type"; if the number of inflection points is greater than 1, and the temperature rise rate shows an alternating rise and platform phenomenon in multiple stages, then the temperature rise process in this area is judged to be "stage mutation type".

[0067] The outer edge points of the regional boundary are defined as the grid points that form the outer shell of the thermal surge slope area. The outer edge points of the same thermal surge area are recorded in multiple consecutive time sections, and the position changes of each point are analyzed. The boundary movement vector is calculated by calculating the coordinate difference between the outer edge points at the same location at adjacent time points. These movement vectors are arranged in chronological order to generate a sequence of movement trajectories for each boundary point. Aggregation processing is performed on this vector sequence. This process extracts the main boundary evolution direction and deformation characteristics based on the distribution density of boundary points within the region, the consistency of movement direction, and vector length statistics. Among them, the specific confirmation method of the boundary expansion mode is: extract the horizontal displacement vector of the boundary point of the heat map area at each frame position in the time series, and calculate the boundary expansion rate between three consecutive frames; if the boundary expansion rate is greater than the set threshold (such as 1 meter / 10 minutes) in multiple directions and the expansion area continues to expand, the regional spatial behavior is judged to be "extensional spread"; if the boundary points basically overlap in the time series and the expansion rate is not significant, the spatial behavior is judged to be "boundary stability"; if the continuous offset of the regional center of mass exceeds the threshold and the overall boundary shows an overall translation trend, the behavior is judged to be "overall transfer".

[0068] Finally, a joint matching rule was constructed for temperature rise trends and boundary variation patterns: when the temperature rise is continuously increasing and spatially spreading, it is labeled as a "diffusion-type thermal surge"; when the temperature rise is a staged mutation with a stable boundary, it is labeled as a "closed-type thermal surge"; when the temperature rise is stable or has no significant increase, the regional centroid continuously shifts, and the boundary shifts significantly, it is labeled as a "transfer-type thermal surge." The judgment results are written into the structure of each thermal surge slope area.

[0069] The control network construction module divides the physical intervention capabilities of the deployed disaster prevention response equipment and establishes a linkage control network for the disaster prevention response equipment.

[0070] Disaster response equipment deployed in facility agriculture parks typically includes various entities for controlling the thermal environment, such as roof opening and closing control structures, canopy-level spraying or cooling devices, and air ducts and airflow guides within ventilation ducts. To achieve differentiated, coordinated control, these devices must be functionally categorized based on their physical scope of intervention and form of action. Based on the spatial manifestation of their control behavior, they are divided into three control types. "Point-controlled" devices, such as vertical sprinklers and infrared heaters located at specific ground locations, are devices with a centralized, locally directional control action. These include devices with a controlled action within one or a few grid cells. "Surface-controlled" devices, such as dimmable sunshades and horizontally extendable spray arms, have a planar scope of action, covering multiple adjacent grid points and exhibiting a planar distribution. "Flow-controlled" devices, such as exhaust fans and airflow nozzles with directional adjustment mechanisms deployed within facility ventilation ducts, exhibit directional flow control. Their intervention behavior manifests as continuous airflow in a fixed or variable direction. The criteria for determining the three types of equipment described above are based on the equipment's manufacturing parameters and layout, not on subjective assumptions. Each disaster response device is assigned a unique number, and a key-value pair structure is constructed between this number and its device type tag, forming a unified data index table. This table serves as the basis for subsequent control strategy mapping and device invocation, ensuring rapid identification and targeted control of different types of equipment.

[0071] The physical locations of all deployed equipment in the park are mapped to the constructed three-dimensional grid coordinate system. The three-dimensional grid system has been delineated according to three levels: roof, canopy, and ground surface, and has a unique spatial numbering system. For each device, the three-dimensional coordinate value of its deployment location is extracted, including its anchor point (fixed position) and the control boundary of its movable range. By determining whether the device coordinates fall into a certain grid unit or have a spatial intersection with several grid units, the attribution relationship between the device and the grid is established. For "point control type" equipment, it can be directly located to the nearest grid number; for "surface control type" equipment, the entire set of grid numbers involved should be recorded based on the overlapping relationship between its coverage area and multiple grid units; for "flow control type" equipment, in addition to recording the grid number corresponding to its anchor point position, it is also necessary to mark the coherent grid path number involved in its control flow direction to construct a directional spatial control path.

[0072] After completing device type calibration and spatial mapping, establish linkage control capabilities between disaster prevention and response devices. Identify whether there is a physical connectivity relationship between devices, such as a shared communication line, a shared control main line, or a network node that can perform relay control. Based on layout drawings and wiring data, extract the connection relationships between all devices to form a logical connection map between devices. Establish logical trigger channels for device pairs with existing connections. For example, when a thermal burst behavior in a certain area is identified and triggers the activation of a "point-controlled" device, the device's activation signal will be synchronously transmitted via the communication channel to the "surface-controlled" or "flow-controlled" device connected to it, thereby executing a synchronized or delayed activation operation. Each communication control channel includes structural fields such as the trigger source device number, the response device number, the trigger condition logic, and the linkage delay parameter. To ensure the stability and response rate of the linkage control, all devices with a connection relationship are combined into a linkage device cluster to build a disaster prevention device linkage network with a topological structure.

[0073] The control area division module is based on the identified thermal surge slope area boundary, and expands to form a primary response area and a secondary buffer area to construct a control action area with a layered spatial structure.

[0074] Within each thermal surge gradient region, the outermost temperature gradient boundary points are extracted. Specifically, all temperature gradient points within the region are traversed. Based on the boundary gradient threshold criteria described in the previous process, the points at the critical boundary gradient value are considered candidate points for the outer edge. Subsequently, a closed contour curve is constructed using a two-dimensional contour reconstruction method, such as a minimum circumscribed polygon or contour fitting algorithm (e.g., multi-segment Bezier curve fitting or arc segment interpolation). The closed region corresponding to this contour curve is used as the spatial boundary of the first-level response zone. Closure verification is performed on each closed contour curve to ensure that the point set is connected from beginning to end and has a single closed property. The contour point set is represented in a spatial coordinate system and stored in clockwise or counterclockwise order to facilitate subsequent buffer zone construction. The boundary point set and curve output are stored in a standardized structure, including the region number, contour point coordinate sequence, contour closure flag, and a set of grid cell numbers within the closed region. Finally, in the three-dimensional temperature sensing grid of the park, the corresponding spatial grid within the closed outline is marked as the "first-level response area", and a unique number is assigned to the response area in the data structure to facilitate device calling and action area management in the subsequent control instruction generation stage.

[0075] For thermal surge slope regions classified as spreading, an outward expansion buffer structure aligned with the direction of heat diffusion is constructed based on the dynamic behavior of their boundary expansion over time. First, the closed boundary contour of the spreading region is extracted. The boundary expansion velocity field is constructed by combining the position change data of the boundary points in continuous time frames. For each boundary point, the position difference between the two previous and next time sections is calculated, and the expansion velocity is calculated based on the sampling interval to generate a boundary velocity distribution curve. The velocity curve is then filtered to identify the extreme velocity segments, that is, the continuous set of boundary points where the boundary expansion velocity reaches a peak. These points represent the main diffusion path of the thermal surge behavior in the spreading direction. Within these high-expansion-rate boundary segments, the boundary normal direction is constructed, that is, the extrapolation direction perpendicular to the boundary contour. A fixed expansion distance is set along this direction to generate an outward extension curve, forming an auxiliary outer contour line parallel to the original closed boundary. To ensure the continuity of the construction, multi-segment interpolation is used to connect all the expansion points to construct a complete and closed buffer contour. The spatial grid of the annular area between the closed outline of the original first-level response zone and the extrapolated outline is labeled as the "spreading secondary buffer zone." This annular area has directionality and integrity in its structure, effectively covering the critical boundary of the thermal burst spread direction, and serves as the second response layer triggered by subsequent control instructions.

[0076] The core characteristic of closed thermal bump behavior is that its thermal bump structure is approximately stationary or locally circulates in space, with stable boundaries and no obvious expansion direction. The buffer construction strategy for this type of area is based on the original closed contour, constructing a uniformly wide band structure around its entire circumference. First, the closed boundary contour point set of this type of thermal bump area is called from the previous step. After confirming its geometric structure integrity, equal-width extrapolation is performed along the outer side according to the boundary normal direction of each point. For each boundary point, the tangent direction is first constructed based on its adjacent boundary points, and then the normal direction is calculated. A preset extrapolation length is then selected in this normal direction to construct new boundary point coordinates. All extrapolated points constitute the boundary of the outer buffer zone. By filling the spatial grid area between the inner and outer contours, a complete closed-loop buffer zone is formed and labeled as a "closed secondary buffer zone." Because this buffer zone has no obvious expansion direction, it is mainly used for surround control and local pre-cooling treatment. Its stable structure and uniform effect make it suitable for systemic heat dissipation protection scenarios.

[0077] For areas identified as transfer-type heat surges, a linear, strip-like response structure is used to construct a buffer zone. The heat surge behavior identification module extracts the displacement path of the heat surge center point within the area over a continuous time period to construct a heat surge trajectory. This trajectory represents the primary direction of heat transfer and serves as a key basis for constructing the strip-like buffer. Based on the end points of the trajectory, a linear, strip-like response structure is constructed by extrapolating a certain distance in the direction of movement. This structure is a long strip, with a width consistent with the response device's coverage bandwidth and a direction consistent with the heat surge's direction of movement. Symmetrically distributed lateral auxiliary pre-cooling zones are extrapolated at equal distances perpendicular to either side of the linear structure. These zones primarily serve to offset the secondary diffusion effect caused by the heat surge's radial expansion. The resulting strip-like composite response structure consists of a central isolation zone and its two auxiliary zones. Its overall shape is bilaterally extended, exhibiting both directional and spatial envelope properties. This strip-like structure is labeled as a "transfer-type secondary buffer zone."

[0078] For all generated first-level response areas and various second-level buffer zones, their closed contour coordinate point sets are extracted respectively, and converted into a unified set of spatial grid numbers. For buffer zones with different types of thermal surge behavior, their data structures may have morphological differences, but they are uniformly converted into standardized coordinate formats when the coordinates are aggregated. During the aggregation process, a "control hierarchy" label system is established to clarify whether each response area belongs to the first-level or second-level area, and the corresponding thermal surge behavior type is marked. All coordinate sets are then stored as a hierarchical structure index table, in which each record includes fields such as: heat map area number, behavior type, response area level, spatial grid set number, and closed status flag. The independent coordinate set after construction provides a precise spatial boundary for the area of ​​action of regionalized linkage control, ensuring that subsequent control instructions can be accurately mapped to the corresponding equipment when distributed.

[0079] The linkage control module generates a differentiated control instruction set for all disaster prevention response equipment in the regulation action area and executes regionalized disaster prevention linkage control.

[0080] After determining the type of thermal surge behavior and delineating the response area, the coordinate sets of the first-level response area and second-level buffer zone corresponding to each thermal surge slope area generated above are extracted separately and hierarchically integrated into the spatial structure. Each response area is identified by a grid number and spatial coordinates. Specifically, each first-level response area is a continuous closed grid set, and each second-level buffer zone corresponds to a multi-segment strip or ring grid set in the peripheral buffer area. Subsequently, the three-dimensional spatial grid numbers corresponding to all deployed disaster prevention and response equipment are called one by one and the coordinates are matched with the grid number sets of the above response areas. If the deployment grid number of a device is exactly the same as any number in the first-level response area, the device is classified as a first-level response area-bound device; similarly, a device with a matching number in the second-level buffer zone coordinate set is classified as a second-level buffer zone-bound device. The above matching operation uses the device number as an index to output the device number binding table and coordinate binding table for the first-level and second-level action areas, respectively, thereby realizing the construction of the spatial binding relationship between the response area and the device.

[0081] After establishing spatial binding relationships, control types must be differentiated based on the physical intervention capability labels assigned to each disaster response device during deployment. From the set of devices within the primary response zone, select the device number set labeled "point control type." Then, establish a set of single-point control instructions for each device, following the order of their bound grid numbers. Each control instruction contains core fields such as the device number, the spatial reference information for the current thermal surge zone location, a summary of current environmental parameters, and the trigger response level. This allows the point-control device to perform rapid adjustments in the localized high-risk thermal surge zone. Conversely, from the set of device numbers within the secondary buffer zone, select all devices labeled "area control type." Their coverage boundaries are extracted, and a set of area control instructions matching the buffer zone's contours is constructed. The generation rules for this set of instructions ensure that the coverage area matches the device's intervention capability. Each instruction contains information fields such as the device number, control zone number, and preset control status field to achieve a regionalized area adjustment response. When a thermal surge slope area is determined to be "transport type," its primary response zone exhibits the dynamic characteristic of stable migration along a primary direction. To this end, it is necessary to re-screen the device binding table within this type of first-level response area and extract the set of device numbers with the device capability label "flow control type". Subsequently, based on the heat surge boundary movement vector data of the transfer-type heat surge area, the main transfer direction reference vector of the area is constructed, and based on this, a directional control instruction sequence is generated. Each instruction must clearly specify the device number, current device position, reverse reference vector of the target movement direction, control gradient level, and linkage relationship identification field. The response instruction of the flow control type device is not a single point or area activation, but it is necessary to establish a pressure regulation belt or airflow guidance path in a continuous space based on the movement path of the heat surge area, thereby forming a repressive intervention process outside the area. Therefore, this type of instruction set needs to include a directional field drive identifier to ensure that the flow control response and the heat surge migration direction constitute a reverse intervention effect, thereby achieving external energy shielding and disturbance guidance for the sudden high temperature area.

[0082] After constructing the control command sets for point-controlled, area-controlled, and flow-controlled devices, all command information must be organized and sorted by response region level, device type, and spatial coordinates to generate a complete command distribution list. During the command distribution process, the communication control link corresponding to each device number must be invoked, and commands must be synchronously pushed through the established linkage control network. To ensure the timeliness and linkage consistency of disaster prevention responses, all distribution operations must be executed based on a unified control cycle and synchronization mark time to avoid response mismatches caused by communication delays or inconsistent control pacing. Furthermore, a receipt mechanism must be established for all devices receiving commands. Upon receiving command execution feedback, the control status identification table for the response region must be updated to confirm whether the current control action covers all corresponding devices. If a device fails to respond or responds abnormally within a specific response zone or secondary buffer zone, a reissue mechanism or redundant control paths will be executed in subsequent cycles. This will enable a regionalized, differentiated, and linked disaster prevention and control strategy for various thermal surge scenarios within the facility agriculture park.

[0083] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.

[0084] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in the embodiments of this application are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0085] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0086] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0088] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected to achieve the purpose of this embodiment according to actual needs.

[0089] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0090] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0091] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0092] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A disaster prevention linkage control system for facility agriculture parks based on three-dimensional microclimate monitoring, characterized by: It includes temperature sensing module, thermal surge slope area recognition module, thermal surge behavior recognition module, control network construction module, control area division module and linkage control module, among which: The temperature sensing module establishes a three-dimensional temperature sensing network in the greenhouse roof, plant canopy and surface area within the facility agriculture park according to the preset spatial grid; The thermal surge slope area identification module constructs a spatial temperature gradient field based on the collected temperature data and identifies the thermal surge slope area; The thermal surge behavior identification module performs temperature rise time series evolution analysis on the thermal surge slope area, and classifies the thermal surge behavior type based on the temperature change trend and boundary expansion mode of the thermal surge slope area; The control network construction module divides the physical intervention capabilities of the deployed disaster prevention and response equipment and establishes a linkage control network for the disaster prevention and response equipment; The control area division module is based on the identified hot soil slope area boundary, expanding to form a first-level response area and a second-level buffer zone, and constructing a control action area with a hierarchical spatial structure; The linkage control module generates differentiated control instruction sets for all disaster prevention response equipment in the control area and executes regional disaster prevention linkage control.

2. The facility agriculture park disaster prevention linkage control system based on microclimate three-dimensional monitoring according to claim 1 is characterized in that: The temperature sensing module establishes a three-dimensional temperature sensing network in the greenhouse roof, plant canopy and surface area within the facility agriculture park according to the preset spatial grid, specifically including: Based on the structural layout of the facility agriculture park, the boundary range and layer height values ​​of three types of temperature monitoring areas are set: roof, plant canopy and ground surface; Perform horizontal and vertical equal-interval division in each monitoring area to construct a two-dimensional grid point set with hierarchical identification; The corresponding level height values ​​are superimposed on the two-dimensional grid point coordinates to construct a three-dimensional sampling point set with complete spatial positioning and sorted by grid number; The sampling period, data channel and unified sampling reference time are configured for each three-dimensional sampling point, and the temperature data acquisition task is performed to output three-dimensional temperature time series data with a hierarchical structure.

3. The facility agriculture park disaster prevention linkage control system based on microclimate three-dimensional monitoring according to claim 1 is characterized in that: The thermal surge slope area identification module constructs a spatial temperature gradient field based on the collected temperature data, and the identification of the thermal surge slope area specifically includes: Extract the continuous temperature change value sequence of all three-dimensional sampling points within the target analysis time window from the three-dimensional temperature time series data; The temperature difference calculation is performed on the coordinate pairs of adjacent two-dimensional grid points in the same level, and converted into temperature gradient values ​​according to the spatial spacing to construct the local spatial temperature gradient grid; Perform a preset high gradient threshold discrimination operation on the temperature gradient field, screen the regional point set that meets the continuous high gradient condition, and aggregate it into an initial thermal spike fragment set based on the spatial adjacency relationship; The area continuity and gradient consistency judgment are performed on the set of thermal burst fragments to identify the thermal burst slope area.

4. The disaster prevention linkage control system for facility agriculture park based on microclimate three-dimensional monitoring according to claim 1 is characterized in that: The thermal surge behavior identification module performs a temperature rise time series evolution analysis on the thermal surge slope area. Based on the temperature change trend and boundary expansion mode of the thermal surge slope area, the thermal surge behavior types are classified into the following types: The temperature rise rate between adjacent time points in the hot soil slope area is calculated using the time difference method. The first-order difference of the rate curve is performed to extract the inflection point and identify the change trend of the regional temperature rise structure. Extract the position change of the outer edge points of the thermal surge slope area in continuous time sections, generate the boundary movement vector sequence, and identify the boundary expansion mode; A joint classification rule is set to perform joint discrimination on the regional temperature rise structure and boundary extension mode, and the thermal surge behavior type label of each thermal surge slope area is marked, where the thermal surge behavior types include spreading type, closed type and transfer type.

5. The disaster prevention linkage control system for facility agriculture park based on microclimate three-dimensional monitoring according to claim 1 is characterized in that: The control network construction module divides the physical intervention capabilities of the deployed disaster prevention response equipment and establishes a linkage control network for the disaster prevention response equipment, specifically including: Based on the physical intervention characteristics of disaster prevention response equipment, three types of disaster prevention response equipment are defined: surface control type, point control type, and flow control type; Set numbers for all disaster response equipment and build a key-value correspondence structure between equipment numbers and equipment type tags; Determine the overlap between the deployment area of ​​each disaster prevention response device and the three-dimensional grid coordinates, and record the grid number to which the disaster prevention response device belongs; Obtain physical connection links between disaster prevention and response equipment and establish communication control channels to build a device linkage network with a trigger structure.

6. The disaster prevention linkage control system for facility agriculture park based on microclimate three-dimensional monitoring according to claim 1 is characterized in that: The control area division module is based on the identified thermal surge slope area boundary, expanding to form a primary response area and a secondary buffer zone, and constructing a control action area with a hierarchical spatial structure. Specifically, it includes: Perform boundary extraction on the boundary contours in the hot soil slope area structure, output the boundary coordinate point set and closed contour curve of each area, and mark the area within the closed contour curve as the first-level response area; Preset the boundary extrapolation scale, set the secondary buffer zone construction strategy based on the thermal burst behavior type label, and expand the boundary of the primary response area based on the construction strategy to form a secondary buffer zone; The coordinates of the first-level response areas and second-level buffer zones at different levels are aggregated to form an independent coordinate set of the hierarchical regulatory action areas.

7. The facility agriculture park disaster prevention linkage control system based on microclimate three-dimensional monitoring according to claim 6 is characterized in that: The secondary buffer construction strategy is specifically set according to the hot burst behavior type label: The boundary expansion velocity distribution of the spreading thermal surge slope area is extracted, and a continuous outer boundary closed zone is formed as a secondary buffer zone by extrapolating the velocity extreme value section in the direction of the boundary normal line. Extrapolate the contour curve boundary of the closed thermal surge slope area and construct a closed-loop buffer zone with the same width as the boundary as the secondary buffer zone; The movement trajectory of the transfer-type hot soil slope area is extracted, and a forward linear cutoff response structure belt is constructed by extrapolation along the movement direction. At the same time, symmetrical lateral auxiliary pre-cooling areas are constructed on both sides of the linear cutoff response structure belt to form a belt-shaped composite response structure as a secondary buffer zone.

8. The facility agriculture park disaster prevention linkage control system based on microclimate three-dimensional monitoring according to claim 1 is characterized in that: The linkage control module generates a differentiated control instruction set for all disaster prevention response equipment in the control action area, and performs regional disaster prevention linkage control, specifically including: Extract the primary response areas and secondary buffer zones in different regulatory action areas, and establish a spatial coordinate binding relationship with the disaster prevention response equipment based on the grid number to which the disaster prevention response equipment belongs; Match all point-controlled devices within the first-level response area based on spatial coordinate binding relationships to generate a set of single-point control instructions for local precise execution; In the secondary buffer, all surface control devices are matched according to the spatial coordinate binding relationship, and a surface control instruction set covering the buffer area is generated; For the first-level response area of ​​the transport type, the flow control equipment in the corresponding layer is extracted, and a set of control instructions for the opposite intervention is generated along the moving direction of the thermal surge slope area; All control command sets are synchronously sent to disaster prevention response equipment through communication control channels to implement regional disaster prevention linkage control.

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