An intelligent control system for planting environment for seedling cultivation

By grid-dividing seedling cultivation areas in large-scale greenhouses and adjusting environmental regulation equipment, the regulation difficulties caused by differences in environmental parameters during seedling cultivation in multiple batches are solved, and a more stable growth environment is achieved and the seedling cultivation effect is improved.

CN118759987BActive Publication Date: 2025-06-06SHENZHEN ENLITE ENERGY TECH
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Patent Information

Application Number
CN202411001704.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-25
Publication Date
2025-06-06
Estimated Expiration
2044-07-25

AI Technical Summary

Technical Problem

In large-scale greenhouses, seedlings of multiple batches are cultivated at the same time, resulting in differences in environmental parameters required for different batches of seedlings, resulting in difficulties in overall environmental regulation of the greenhouse.

Method used

Seedling areas are divided by grids, sub-regions are generated, and classified and marked according to the growth status of the seedlings. The parameter data of the monitoring area is obtained using the overlapping boundary line, the regulation deviation between the actual situation and the standard environmental parameters is calculated, and the boundary position of the sub-region and the output power of the environmental regulation equipment are adjusted.

Benefits of technology

In a large-scale greenhouse, the environmental mutual influence between different batches of seedlings is reduced, and the seedling cultivation effect is improved.

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Abstract

The present invention relates to the technical field of seedling environment regulation, and specifically discloses an intelligent regulation system for seedling planting environment, including: a region division module: gridding the seedling region, and classifying sub-regions with the same growth state of seedlings into one category; a boundary extraction module: overlapping boundary lines of two adjacent sub-regions; an initialization module: initializing the environment regulation equipment inside each sub-region according to the growth state of the seedlings corresponding to each sub-region; a data acquisition module: acquiring parameter data measured by a sensor device in a monitoring area; a sub-region adjustment module: evaluating the influence of adjacent sub-regions on the current sub-region according to the comparison of parameter data with standard environmental parameters, and adjusting the sub-region boundary position and the output power of the environment regulation equipment according to the influence degree. In this way, in a large-scale greenhouse, during the multi-batch seedling raising process, the mutual influence of the environment between different batches is reduced, thereby improving the seedling raising effect.
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Description

Technical Field

[0001] The present invention relates to the technical field of seedling raising environment regulation and control, and in particular to an intelligent regulating and controlling system for a planting environment for seedling raising. Background Art

[0002] The seedling environment is a key factor affecting the germination of plant seeds and the growth of seedlings. It involves a series of controllable external conditions, mainly including temperature, humidity, light and soil quality. In agricultural production, by precisely controlling these factors, the healthy development of seedlings can be promoted, their stress resistance can be enhanced, and a solid foundation can be laid for subsequent transplantation and growth. The ideal seedling environment should have a suitable temperature range to promote rapid and uniform germination of seeds; constant and moderate humidity to ensure that the seeds absorb enough water without being soaked and rotten; sufficient light to meet the energy needs of plants for photosynthesis; and fertile, well-drained soil to provide necessary nutrients and good root growth space.

[0003] Through modern technology such as greenhouses, automatic spray systems and LED fill lights, people can more accurately simulate and create the best seedling environment, and achieve efficient and high-quality plant seedling cultivation. Among them, the Internet of Things technology plays a key role. By setting up multiple sensors in the planting area to collect data, various parameter information of the planting area can be fed back to the staff in real time, thus facilitating the environmental regulation of the planting area.

[0004] In small-scale greenhouse seedling cultivation, one room can be used for one seedling; that is, the same batch of seedlings can be cultivated in the entire greenhouse or shed at the same time, without considering the differences between different internal areas. However, in large-scale greenhouse environments, there are often multiple batches of seedlings being cultivated at the same time; that is, after a part of the mature seedlings are transplanted from the greenhouse, in order to improve the efficiency of seedling cultivation, the vacant areas after transplanting are replanted. Therefore, with intermittent transplanting, there will be multiple batches of seedlings in the greenhouse, and the environmental parameters required by different seedlings are different, which makes it difficult to control the overall environment of the greenhouse. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent control system for the planting environment for seedling cultivation to solve the above-mentioned technical problems.

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

[0007] A planting environment intelligent control system for seedling cultivation, comprising:

[0008] Area division module: divide the seedling raising area into grids to generate several sub-areas; classify the seedlings in each sub-area according to their growth status, classify the sub-areas with the same growth status into one category, and mark them;

[0009] Boundary extraction module: merging sub-regions of the same type with common boundaries to obtain a seedling area division map of the seedling area; obtaining overlapping boundary lines of two adjacent sub-regions according to the seedling area division map;

[0010] Initialization module: according to the growth status of the seedlings corresponding to each sub-area, obtain the standard environmental parameters of each sub-area; and initialize the environmental control equipment inside each sub-area according to the standard environmental parameters;

[0011] Data acquisition module: using the coincident boundary line as a reference to extend a preset distance into the sub-area to obtain the monitoring area, and obtaining parameter data measured by the sensor equipment in the monitoring area;

[0012] Sub-area adjustment module: Calculate the control deviation between the actual situation of the current sub-area and the ideal state corresponding to the standard environmental parameters based on the comparison of parameter data with standard environmental parameters; Evaluate the influence of adjacent sub-areas on the current sub-area based on the control deviation, and adjust the sub-area boundary position and the output power of the environmental control equipment based on the influence.

[0013] As a further solution of the present invention: in the area division module, when there are two or more growth states of the seedlings in the sub-area obtained according to the grid division, the sub-area is divided again according to the areas where the seedlings in different growth states are located; the growth state of the seedlings includes the germination stage, the seedling stage and the strong seedling stage.

[0014] As a further solution of the present invention: in the data acquisition module, the specific method of obtaining the monitoring area is as follows:

[0015] Acquire overlapping boundary lines of the sub-areas, and connect the starting point and the end point of the overlapping boundary lines to obtain a reference boundary line;

[0016] The reference boundary line is horizontally swept into the sub-region by a preset distance, and an overlapping area between the swept area and the sub-region is obtained and defined as a monitoring area.

[0017] As a further solution of the present invention: In the sub-region adjustment module, the specific method for calculating the control deviation between the actual situation of the current sub-region and the ideal state corresponding to the standard environmental parameters based on the comparison of parameter data with the standard environmental parameters is as follows:

[0018] Obtaining basic information of the sensor equipment in the monitoring area, the basic information including parameter data measured by the sensor equipment and the shortest distance between the sensor equipment and the reference boundary line;

[0019] Setting a reference period, obtaining parameter data collected by a certain sensor device within the reference period, and calculating an average value as the actual environmental parameter of the sensor device;

[0020] Calculate the difference between the actual environmental parameter and the standard environmental parameter as the deviation value of the location point of the corresponding sensor device;

[0021] Connect the positions with similar states to obtain a closed plane figure, which is defined as a gradient region, where similar states mean that the positions in the gradient region satisfy the constraints:

[0022]

[0023] D'∈(Dd,D+d)

[0024] Wherein, ΔP represents the difference between the deviation value of any position point in the current gradient area and the deviation value of the current position point; p is the preset screening threshold; D' represents the shortest distance between the current position point and the reference boundary line; D represents the average value of the shortest distances between all position points in the current gradient area and the reference boundary line; d represents the preset distance margin;

[0025] The boundary line of each gradient zone close to the adjacent sub-region is taken as the gradient line, and the average distance between the gradient line and the reference boundary line and the average value of the deviation values ​​of all position points in the corresponding gradient zone are taken as the control deviation of the corresponding gradient line.

[0026] As a further solution of the present invention: In the sub-region adjustment module, the specific method of evaluating the influence of the adjacent sub-region on the current sub-region according to the control deviation and adjusting the sub-region boundary position and the output power of the environmental control device according to the influence degree is as follows:

[0027] Obtaining gradient lines and control deviations corresponding to each gradient line, wherein the control deviations include an average distance between the gradient line and the reference boundary line and an average value of deviation values ​​of all position points in the gradient area;

[0028] The average value of the deviation values ​​of all the position points in the gradient area is recorded as the gradient value, and the difference in the gradient values ​​between adjacent gradient lines is calculated, and several gradient lines with gentle changes are selected according to the difference in the gradient values;

[0029] According to the selected gradient lines, the average distance between each gradient line and the reference boundary line is obtained, and the minimum value min is screened out;

[0030] The reference boundary line is horizontally translated to the inside of the sub-region with a translation distance of the minimum value min, and a new sub-region is formed with the original boundary line of the sub-region; and the seedlings in the atomic region that do not belong to the current sub-region are moved to the current sub-region.

[0031] As a further solution of the present invention: the specific method of adjusting the sub-region boundary position and the output power of the environmental control device according to the impact degree also includes:

[0032] A sensing device for obtaining the position of the reference boundary line after translation;

[0033] Adjusting the output power of the environment control device close to the translated reference boundary line, and acquiring the parameter data measured by the sensing device in real time;

[0034] When the deviation between the parameter data and the standard environmental parameter does not exceed a preset error range, the output power of the environmental control device is stopped from being adjusted.

[0035] As a further solution of the present invention: in the sub-region adjustment module, the specific method of obtaining the gradient line is as follows:

[0036] Obtain the closed plane figure corresponding to the gradient area;

[0037] Obtaining the outer boundary line of the plane figure;

[0038] Taking the vertical direction of the sweeping direction of the reference boundary line as the standard, the upper vertex and the lower vertex in the outer boundary line are obtained, and the outer boundary line is divided into two parts by the upper vertex and the lower vertex; and the outer boundary line on the side close to the reference boundary line is used as the gradient line.

[0039] As a further solution of the present invention: in the sub-region adjustment module, a specific method for selecting a plurality of gradient lines with a gentle change according to the difference in gradient values ​​is as follows:

[0040] According to the average distance between the gradient line and the reference boundary line, a group of continuous gradient lines are selected from large to small, and the difference in gradient values ​​of the selected gradient lines is less than a preset change threshold and the gradient value of the gradient line does not exceed a preset maximum error.

[0041] The beneficial effects of the present invention are as follows: for a large-scale greenhouse, even if there are multiple transplants and replantings, resulting in multiple batches of seedlings in the greenhouse, and the environmental requirements are often bound to the growth status of the seedlings, in order to ensure the normal growth of the seedlings, in this case, the distance between adjacent sub-areas and the environmental control equipment at the boundary position can be adjusted to eliminate the corresponding errors, thereby providing a more stable growth environment for the seedlings;

[0042] Therefore, in the specific technical scheme of the present invention, the seedling raising area in the large greenhouse is first divided by grid division to confirm the growth positions of different batches of seedlings; and the overlapping boundaries of different batches of seedlings are obtained according to the positions of the divided areas; then the parameter data of the monitoring area at the overlapping boundaries are collected and analyzed by the sensing equipment to confirm the degree to which the monitoring area is affected by the adjacent areas, and the overlapping boundary positions of the sub-areas are adjusted according to the influence, as well as the environmental control equipment at the overlapping boundaries; thereby, in the large-scale greenhouse, during the multi-batch seedling raising process, the mutual influence between the environments of different batches is reduced, thereby improving the seedling raising effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1 It is a schematic diagram of the process of an intelligent control system for a planting environment for seedling cultivation according to the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1 As shown, the present invention is an intelligent control system for a planting environment for seedling cultivation, comprising:

[0047] Area division module: divide the seedling raising area into grids to generate several sub-areas; classify the seedlings in each sub-area according to their growth status, classify the sub-areas with the same growth status into one category, and mark them;

[0048] Boundary extraction module: merging sub-regions of the same type with common boundaries to obtain a seedling area division map of the seedling area; obtaining overlapping boundary lines of two adjacent sub-regions according to the seedling area division map;

[0049] Initialization module: according to the growth status of the seedlings corresponding to each sub-area, obtain the standard environmental parameters of each sub-area; and initialize the environmental control equipment inside each sub-area according to the standard environmental parameters;

[0050] Data acquisition module: using the coincident boundary line as a reference to extend a preset distance into the sub-area to obtain the monitoring area, and obtaining parameter data measured by the sensor equipment in the monitoring area;

[0051] Sub-area adjustment module: Calculate the control deviation between the actual situation of the current sub-area and the ideal state corresponding to the standard environmental parameters based on the comparison of parameter data with standard environmental parameters; Evaluate the influence of adjacent sub-areas on the current sub-area based on the control deviation, and adjust the sub-area boundary position and the output power of the environmental control equipment based on the influence.

[0052] For large-scale greenhouses, even if there are multiple transplants and replantings, resulting in multiple batches of seedlings in the greenhouse, the environmental requirements are often bound to the growth status of the seedlings. In order to ensure the normal growth of the seedlings, in this case, the distance between adjacent sub-areas and the environmental control equipment at the boundary position can be adjusted to eliminate the corresponding errors, thereby providing a more stable growth environment for the seedlings.

[0053] Therefore, in the specific technical scheme of the present invention, the seedling raising area in the large greenhouse is first divided by grid division to confirm the growth positions of different batches of seedlings; and the overlapping boundaries of different batches of seedlings are obtained according to the positions of the divided areas; then the parameter data of the monitoring area at the overlapping boundaries are collected and analyzed by the sensing equipment to confirm the degree to which the monitoring area is affected by the adjacent areas, and the overlapping boundary positions of the sub-areas are adjusted (shrinking inward) according to the influence, as well as the environmental control equipment at the overlapping boundaries are adjusted; thereby, in the large-scale greenhouse, during the multi-batch seedling raising process, the mutual influence between the environments of different batches is reduced, thereby improving the seedling raising effect.

[0054] Among them, it is worth noting that the environmental parameters of the present invention include parameters that need to be managed during the seedling cultivation process, such as temperature and humidity, while the standard environmental parameters refer to the environmental temperature and humidity required for the corresponding seedling growth state, which can be consulted through existing seedling cultivation experience or relevant seedling cultivation literature, and will not be elaborated here.

[0055] In another preferred embodiment of the present invention, in the area division module, when there are two or more growth states of the seedlings in the sub-area obtained according to the grid division, the sub-area is divided again according to the areas where the seedlings in different growth states are located; the growth state of the seedlings includes the germination stage, the seedling stage and the strong seedling stage.

[0056] Although in most cases, mature seedlings are transplanted in a complete area, when the transplanting quantity does not meet the conditions, only part of the mature seedlings will be transplanted in a grid area. Therefore, after replanting, two or more batches of seedlings may appear in the same grid area. In this case, the single grid area needs to be further subdivided.

[0057] In a preferred embodiment of the present invention, in the data acquisition module, the specific method of obtaining the monitoring area is as follows:

[0058] Acquire overlapping boundary lines of the sub-areas, and connect the starting point and the end point of the overlapping boundary lines to obtain a reference boundary line;

[0059] The reference boundary line is horizontally swept into the sub-region by a preset distance, and an overlapping area between the swept area and the sub-region is obtained and defined as a monitoring area.

[0060] In a preferred embodiment of the present invention, in the sub-region adjustment module, a specific method for calculating the control deviation between the actual situation of the current sub-region and the ideal state corresponding to the standard environmental parameters based on the comparison of parameter data with the standard environmental parameters is as follows:

[0061] Obtaining basic information of the sensor equipment in the monitoring area, the basic information including parameter data measured by the sensor equipment and the shortest distance between the sensor equipment and the reference boundary line;

[0062] Setting a reference period, obtaining parameter data collected by a certain sensor device within the reference period, and calculating an average value as the actual environmental parameter of the sensor device;

[0063] Calculate the difference between the actual environmental parameter and the standard environmental parameter as the deviation value of the location point of the corresponding sensor device;

[0064] Connect the positions with similar states to obtain a closed plane figure, which is defined as a gradient region, where similar states mean that the positions in the gradient region satisfy the constraints:

[0065]

[0066] D'∈(Dd,D+d)

[0067] Wherein, ΔP represents the difference between the deviation value of any position point in the current gradient area and the deviation value of the current position point; p is the preset screening threshold; D' represents the shortest distance between the current position point and the reference boundary line; D represents the average value of the shortest distances between all position points in the current gradient area and the reference boundary line; d represents the preset distance margin;

[0068] The boundary line of each gradient zone close to the adjacent sub-region is taken as the gradient line, and the average distance between the gradient line and the reference boundary line and the average value of the deviation values ​​of all position points in the corresponding gradient zone are taken as the control deviation of the corresponding gradient line.

[0069] In a preferred embodiment of the present invention, in the sub-region adjustment module, the specific method of evaluating the influence of the adjacent sub-region on the current sub-region according to the control deviation and adjusting the sub-region boundary position and the output power of the environmental control device according to the influence degree is as follows:

[0070] Obtaining gradient lines and control deviations corresponding to each gradient line, wherein the control deviations include an average distance between the gradient line and the reference boundary line and an average value of deviation values ​​of all position points in the gradient area;

[0071] The average value of the deviation values ​​of all the position points in the gradient area is recorded as the gradient value, and the difference in the gradient values ​​between adjacent gradient lines is calculated, and several gradient lines with gentle changes are selected according to the difference in the gradient values;

[0072] According to the selected gradient lines, the average distance between each gradient line and the reference boundary line is obtained, and the minimum value min is screened out;

[0073] The reference boundary line is horizontally translated to the inside of the sub-region with a translation distance of the minimum value min, and a new sub-region is formed with the original boundary line of the sub-region; and the seedlings in the atomic region that do not belong to the current sub-region are moved to the current sub-region.

[0074] In a preferred embodiment of the present invention, the specific method of adjusting the sub-region boundary position and the output power of the environment control device according to the impact degree also includes:

[0075] A sensing device for obtaining the position of the reference boundary line after translation;

[0076] Adjusting the output power of the environment control device close to the translated reference boundary line, and acquiring the parameter data measured by the sensing device in real time;

[0077] When the deviation between the parameter data and the standard environmental parameter does not exceed a preset error range, the output power of the environmental control device is stopped from being adjusted.

[0078] Among them, in this embodiment, the adjusted environmental control device is the device responsible for the boundary position in the corresponding sub-area, which can be adjusted according to the standard environmental parameters and actual parameter data. The specific adjustment plan can refer to the existing technology.

[0079] In a preferred embodiment of the present invention, in the sub-region adjustment module, a specific method for obtaining the gradient line is as follows:

[0080] Obtain the closed plane figure corresponding to the gradient area;

[0081] Obtaining the outer boundary line of the plane figure;

[0082] Taking the vertical direction of the sweeping direction of the reference boundary line as the standard, the upper vertex and the lower vertex in the outer boundary line are obtained, and the outer boundary line is divided into two parts by the upper vertex and the lower vertex; and the outer boundary line on the side close to the reference boundary line is used as the gradient line.

[0083] In a preferred embodiment of the present invention, in the sub-region adjustment module, a specific method for selecting a plurality of gradient lines with a gentle change according to the difference in gradient values ​​is as follows:

[0084] According to the average distance between the gradient line and the reference boundary line, a group of continuous gradient lines are selected from large to small, and the difference in gradient values ​​of the selected gradient lines is less than a preset change threshold and the gradient value of the gradient line does not exceed a preset maximum error.

[0085] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent control system for the planting environment for seedling cultivation, characterized in that: include: Area division module: divide the seedling raising area into grids to generate several sub-areas; classify the seedlings in each sub-area according to their growth status, classify the sub-areas with the same growth status into one category, and mark them; Boundary extraction module: merging sub-regions of the same type with common boundaries to obtain a seedling area division map of the seedling area; obtaining overlapping boundary lines of two adjacent sub-regions according to the seedling area division map; Initialization module: according to the growth status of the seedlings corresponding to each sub-area, obtain the standard environmental parameters of each sub-area; and initialize the environmental control equipment inside each sub-area according to the standard environmental parameters; Data acquisition module: using the coincident boundary line as a reference to extend a preset distance into the sub-area to obtain the monitoring area, and obtain the parameter data measured by the sensor equipment in the monitoring area; Sub-area adjustment module: calculates the control deviation between the actual situation of the current sub-area and the ideal state corresponding to the standard environmental parameters based on the comparison of parameter data with standard environmental parameters; evaluates the influence of the adjacent sub-area on the current sub-area based on the control deviation, and adjusts the sub-area boundary position and the output power of the environmental control equipment based on the influence; In the sub-region adjustment module, the specific method for calculating the control deviation between the actual situation of the current sub-region and the ideal state corresponding to the standard environmental parameters based on the comparison of parameter data with the standard environmental parameters is as follows: Obtaining basic information of the sensor equipment in the monitoring area, the basic information including parameter data measured by the sensor equipment and the shortest distance between the sensor equipment and the reference boundary line; Setting a reference period, obtaining parameter data collected by a certain sensor device within the reference period, and calculating an average value as the actual environmental parameter of the sensor device; Calculate the difference between the actual environmental parameter and the standard environmental parameter as the deviation value of the location point of the corresponding sensor device; Connect the positions with similar states to obtain a closed plane figure, which is defined as a gradient region, where similar states mean that the positions in the gradient region satisfy the constraints: ; ; Wherein, ΔP represents the difference between the deviation value of any position point in the current gradient region and the deviation value of the current position point; p is the preset screening threshold; D' represents the shortest distance between the current position point and the reference boundary line; D represents the average value of the shortest distances between all position points in the current gradient area and the reference boundary line; d represents the preset distance margin; The boundary line of each gradient zone close to the adjacent sub-region is taken as the gradient line, and the average distance between the gradient line and the reference boundary line and the average value of the deviation values ​​of all position points in the corresponding gradient zone are taken as the control deviation of the corresponding gradient line.

2. The intelligent control system for the planting environment for seedling cultivation according to claim 1, characterized in that: In the area division module, when there are two or more growth states of seedlings in a sub-area obtained according to the grid division, the sub-area is divided again according to the areas where the seedlings in different growth states are located; the growth states of the seedlings include the germination stage, the seedling stage and the strong seedling stage.

3. The intelligent control system for the planting environment for seedling cultivation according to claim 1, characterized in that: In the data acquisition module, the specific method of obtaining the monitoring area is as follows: Acquire overlapping boundary lines of the sub-areas, and connect the starting point and the end point of the overlapping boundary lines to obtain a reference boundary line; The reference boundary line is horizontally swept into the sub-region by a preset distance, and an overlapping area between the swept area and the sub-region is obtained and defined as a monitoring area.

4. The intelligent control system for the planting environment for seedling cultivation according to claim 1, characterized in that: In the sub-region adjustment module, the specific method of evaluating the influence of the adjacent sub-region on the current sub-region according to the control deviation and adjusting the sub-region boundary position and the output power of the environmental control device according to the influence degree is as follows: Obtaining gradient lines and control deviations corresponding to each gradient line, wherein the control deviations include an average distance between the gradient line and the reference boundary line and an average value of deviation values ​​of all position points in the gradient area; The average value of the deviation values ​​of all the position points in the gradient area is recorded as the gradient value, and the difference in the gradient values ​​between adjacent gradient lines is calculated, and several gradient lines with gentle changes are selected according to the difference in the gradient values; According to the selected gradient lines, the average distance between each gradient line and the reference boundary line is obtained, and the minimum value min is screened out; The reference boundary line is horizontally translated to the inside of the sub-region with a translation distance of the minimum value min, and a new sub-region is formed with the original boundary line of the sub-region; and the seedlings in the atomic region that do not belong to the current sub-region are moved to the current sub-region.

5. The intelligent control system for the planting environment for seedling cultivation according to claim 1, characterized in that: The specific method of adjusting the sub-area boundary position and the output power of the environmental control equipment according to the degree of influence also includes: A sensing device for obtaining the position of the reference boundary line after translation; Adjusting the output power of the environment control device close to the translated reference boundary line, and acquiring the parameter data measured by the sensing device in real time; When the deviation between the parameter data and the standard environmental parameter does not exceed a preset error range, the output power of the environmental control device is stopped from being adjusted.

6. The intelligent control system for the planting environment for seedling cultivation according to claim 1, characterized in that: In the sub-region adjustment module, the specific method of obtaining the gradient line is as follows: Obtain the closed plane figure corresponding to the gradient area; Obtaining the outer boundary line of the plane figure; Taking the vertical direction of the sweeping direction of the reference boundary line as the standard, the upper vertex and the lower vertex in the outer boundary line are obtained, and the outer boundary line is divided into two parts by the upper vertex and the lower vertex; and the outer boundary line on the side close to the reference boundary line is used as the gradient line.

7. The intelligent control system for the planting environment for seedling cultivation according to claim 4, characterized in that: In the sub-region adjustment module, the specific method of selecting a plurality of gradient lines with gentle changes according to the difference in gradient values ​​is as follows: According to the average distance between the gradient line and the reference boundary line, a group of continuous gradient lines are selected from large to small, and the difference in gradient values ​​of the selected gradient lines is less than a preset change threshold and the gradient value of the gradient line does not exceed a preset maximum error.

Citation Information

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