CN114153251A - Control method and system of intelligent flowerpot - Google Patents
Control method and system of intelligent flowerpot Download PDFInfo
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- CN114153251A CN114153251A CN202111357254.5A CN202111357254A CN114153251A CN 114153251 A CN114153251 A CN 114153251A CN 202111357254 A CN202111357254 A CN 202111357254A CN 114153251 A CN114153251 A CN 114153251A
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
Abstract
The invention discloses a control method and a control system of an intelligent flowerpot, wherein the method comprises the following steps: detecting an environmental parameter of a target environment where the intelligent flowerpot is located and a state parameter of the intelligent flowerpot potted in the intelligent flowerpot, evaluating whether the environmental parameter meets a standard growth condition of the intelligent flowerpot potted in the intelligent flowerpot, selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result, determining a growth requirement of the intelligent flowerpot potted in the intelligent flowerpot according to the state parameter, and controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement. Whether the operation such as supplementary growth and watering, fertilization need be carried out to it can be rationally confirmed, can realize intelligent judgement and operation, improved the survival rate cultivated in a pot, improved user's experience and felt.
Description
Technical Field
The invention relates to the technical field of equipment control, in particular to a control method and a control system of an intelligent flowerpot.
Background
With the continuous improvement of living standards of people, more and more people begin to pursue spiritual enjoyment, fish or flowers are cultivated at home to cultivate sentiment, meanwhile, flowers can beautify the home environment, indoor air is improved, and meanwhile, pleasant mood can be brought to the master, the existing flower cultivation method is to plant flowers or other potted plants in flowerpots and regularly fertilize and water to ensure the survival of the potted plants, but due to different work and rest time of each person, most people often forget to fertilize and change soil for the potted plants due to busy work, large pressure and other reasons, so that the potted plants are withered or die due to improper cultivation, researchers research and create intelligent flowerpots which can intelligently replace users to fertilize and water the potted plants, and only need to preset working time and working parameters by the users to intelligently cultivate the potted plants in the period when the users are not at home, the experience of the user is greatly improved, but the method has the following problems: because working parameters are preset, intelligent cultivation work can not be reasonably carried out aiming at the real-time condition of planting in a pot inside the intelligent flowerpot, so that the situation that the pot is accidentally dead due to too much fertilization or watering is caused.
Disclosure of Invention
In view of the above-mentioned problems, the present invention provides a control method and system for an intelligent flowerpot to solve the problem mentioned in the background art that since working parameters are preset, intelligent cultivation cannot be reasonably performed in view of the real-time situation of planting a pot plant in the intelligent flowerpot, which results in the occurrence of unexpected death of the pot plant due to too much fertilization or watering.
A control method of an intelligent flowerpot comprises the following steps:
detecting environmental parameters of a target environment where the intelligent flowerpot is located and state parameters of a potted plant in the intelligent flowerpot;
evaluating whether the environmental parameters meet standard growth conditions of potted plants in the intelligent flowerpot, and selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result;
determining the growth requirement of a potted plant in the intelligent flowerpot according to the state parameters;
and controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth demand according to the growth demand.
Preferably, the environmental parameter of the target environment where the intelligent flowerpot is located and the state parameter of the potted plant in the intelligent flowerpot are detected, and the method comprises the following steps:
detecting a sunlight irradiation parameter and a temperature parameter in the target environment, and determining the sunlight irradiation parameter and the temperature parameter as environment parameters of the target environment;
shooting a state image of a potted plant in the intelligent flowerpot to obtain a shot picture;
comparing the shot picture with a picture of the potted plant in a healthy state to determine a texture deviation degree, and determining a first growth state parameter of the potted plant according to the texture deviation degree and a preset growth state parameter of the potted plant;
and removing the unnatural growth state parameters in the first growth state parameters to obtain second growth state parameters, and confirming the second growth state parameters as state parameters of potted plants in the intelligent flowerpot.
Preferably, the evaluating whether the environmental parameter meets a standard growth condition of a pot plant in the intelligent flowerpot and selectively starting a growth assisting function of the intelligent flowerpot according to an evaluation result includes:
determining growth evaluation data of the potted plant according to the environmental parameters;
determining an environmental level within a target environment from the growth assessment data;
judging whether the environment level is in an environment level interval corresponding to the standard growth condition of the potted plant in the intelligent flowerpot, if so, confirming that the environment level meets the standard growth condition of the potted plant;
and when the environment grade is confirmed not to meet the standard growth condition of the potted plant, starting the auxiliary ventilation and auxiliary lighting functions of the intelligent flowerpot.
Preferably, the determining the growth requirement of the potted plant in the intelligent flowerpot according to the state parameters includes:
analyzing the state parameters to determine a current growth state of the potted plant;
judging whether the current growth state is a healthy state or not according to the current growth state, if so, not needing subsequent operation, and otherwise, determining the sub-health state of the potted plant according to the current growth state;
matching the current growing environment of the potted plant from a preset database according to the sub-health state;
and determining the growth requirement of the potted plant in the intelligent flowerpot according to the current growth environment.
Preferably, after determining the growth requirement of a potted plant in the intelligent flowerpot according to the state parameter, before controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement, the method further includes:
analyzing the soil in the intelligent flowerpot according to the growth requirement to obtain an analysis result;
determining the addition amount corresponding to each growth demand option according to the analysis result;
analyzing the analysis result, and determining the matrix distribution of the soil morphological parameters in the intelligent flowerpot;
and determining an operation area in the area corresponding to the soil in the intelligent flowerpot according to the matrix distribution, and associating the operation area with the addition amount corresponding to each growth demand option.
Preferably, according to the growth demand control the intelligent flowerpot execute the operation instruction corresponding to the growth demand, include:
determining a target operation parameter corresponding to the intelligent flowerpot for executing the growth requirement;
determining a first operation instruction corresponding to the growth execution requirement of the intelligent flowerpot according to the target operation parameter;
setting a working index for the first operation instruction according to the addition amount corresponding to each growth demand option to obtain a second operation instruction;
and controlling the intelligent flowerpot to execute the second operation instruction.
Preferably, the method further comprises:
generating a laser signal, sending the laser signal to soil in the intelligent flowerpot, and receiving a feedback signal;
classifying the sub-signals in the feedback signals, and determining the spatial distribution of root systems potted in the soil in the intelligent flowerpot according to the classification result;
collecting secretions of potted plants in different root systems in real time according to a preset period and analyzing the secretions to determine the abnormal distribution state of the root systems of the potted plants;
and evaluating the abnormal distribution state of the root system, confirming whether the potted plant has death risk according to a second evaluation result, and if so, sending an alarm prompt.
Preferably, to sub-signal in the feedback signal is categorised, confirms the inside root system spatial distribution cultivated in a pot of soil in the intelligent flowerpot according to the classification result, includes:
constructing a space image inside the soil of the intelligent flowerpot according to the classification result and the signal frequency of each sub-signal;
extracting first contour information in the space image;
determining a signal sequence of the laser signal, and determining a gain calibration sequence according to the signal sequence and a propagation map of the laser signal;
calibrating the first contour information by using the gain calibration sequence to obtain second contour information;
determining dynamic distribution of a first root system capable of potting in soil in the flowerpot according to the second outline information;
decomposing the first root system dynamic distribution into root system independent sub-distributions;
acquiring the dynamic modal response of each sub-distribution, and determining the stability of the root system corresponding to each sub-distribution according to the dynamic modal response of each sub-distribution;
determining a first spatial position of a corresponding first target root system according to the first sub-distribution with the stability greater than or equal to a preset threshold;
analyzing the target dynamic modal response of the second sub-distribution with the stability smaller than the preset threshold value to obtain a modal parameter of the target dynamic modal response;
calculating an aliasing coefficient of the modal parameter of each second sub-distribution, and determining a second spatial position of a second target root system corresponding to each second sub-distribution according to the aliasing coefficient, a preset root system distribution function and the internal soil area of the intelligent flowerpot;
and combining the first spatial position with the second spatial position to determine the spatial distribution of the root systems potted in the soil in the intelligent flowerpot.
A control system for an intelligent pot, the system comprising:
the detection module is used for detecting the environmental parameters of the target environment where the intelligent flowerpot is located and the state parameters of the potted plants in the intelligent flowerpot;
the evaluation module is used for evaluating whether the environmental parameters meet standard growth conditions of potted plants in the intelligent flowerpot and selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result;
the determining module is used for determining the growth requirement of the potted plant in the intelligent flowerpot according to the state parameters;
and the control module is used for controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth demand according to the growth demand.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a work flow chart of a control method of an intelligent flowerpot provided by the invention;
FIG. 2 is another work flow chart of the control method of the intelligent flowerpot provided by the invention;
FIG. 3 is a flowchart illustrating another operation of the method for controlling the intelligent flowerpot provided by the present invention;
fig. 4 is a schematic structural diagram of a control system of the intelligent flowerpot provided by the invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
With the continuous improvement of living standards of people, more and more people begin to pursue spiritual enjoyment, fish or flowers are cultivated at home to cultivate sentiment, meanwhile, flowers can beautify the home environment, indoor air is improved, and meanwhile, pleasant mood can be brought to the master, the existing flower cultivation method is to plant flowers or other potted plants in flowerpots and regularly fertilize and water to ensure the survival of the potted plants, but due to different work and rest time of each person, most people often forget to fertilize and change soil for the potted plants due to busy work, large pressure and other reasons, so that the potted plants are withered or die due to improper cultivation, researchers research and create intelligent flowerpots which can intelligently replace users to fertilize and water the potted plants, and only need to preset working time and working parameters by the users to intelligently cultivate the potted plants in the period when the users are not at home, the experience of the user is greatly improved, but the method has the following problems: because working parameters are preset, intelligent cultivation work can not be reasonably carried out aiming at the real-time condition of planting in a pot inside the intelligent flowerpot, so that the situation that the pot is accidentally dead due to too much fertilization or watering is caused. In order to solve the above problem, the present embodiment discloses a control method for an intelligent flowerpot.
A control method of an intelligent flowerpot is shown in figure 1 and comprises the following steps:
s101, detecting environmental parameters of a target environment where an intelligent flowerpot is located and state parameters of a pot plant in the intelligent flowerpot;
s102, evaluating whether the environmental parameters meet standard growth conditions of potted plants in the intelligent flowerpot, and selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result;
s103, determining the growth requirement of a pot plant in the intelligent flowerpot according to the state parameters;
and S104, controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement.
The working principle of the technical scheme is as follows: detecting an environmental parameter of a target environment where the intelligent flowerpot is located and a state parameter of the intelligent flowerpot potted in the intelligent flowerpot, evaluating whether the environmental parameter meets a standard growth condition of the intelligent flowerpot potted in the intelligent flowerpot, selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result, determining a growth requirement of the intelligent flowerpot potted in the intelligent flowerpot according to the state parameter, and controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement.
The beneficial effects of the above technical scheme are: through the environmental parameter and the state parameter cultivated in a pot that locate target environment according to intelligent flowerpot and come to judge the growth state cultivated in a pot of certain period intelligently, and then can rationally confirm whether need assist growth and water to it, operations such as fertilization, can realize intelligent judgement and operation, the survival rate cultivated in a pot has been improved, user's experience sense has been improved, thereby solved among the prior art because working parameter is set up in advance, so can't be to the inside real-time condition of planting cultivated in a pot of intelligent flowerpot come to carry out intelligent cultivation work rationally thereby lead to fertilizeing or water the problem that the emergence of too many causes the unexpected death situation cultivated in a pot.
In one embodiment, as shown in fig. 2, the detecting the environmental parameter of the target environment in which the intelligent flowerpot is located and the status parameter of the pot plant in the intelligent flowerpot includes:
step S201, detecting a sunlight irradiation parameter and a temperature parameter in the target environment, and determining the sunlight irradiation parameter and the temperature parameter as environment parameters of the target environment;
s202, shooting a state image of a pot plant in the intelligent flowerpot to obtain a shot picture;
step S203, comparing the shot picture with a picture of the potted plant in a healthy state to determine a texture deviation degree, and determining a first growth state parameter of the potted plant according to the texture deviation degree and a preset growth state parameter of the potted plant;
and S204, removing the unnatural growth state parameters in the first growth state parameters to obtain second growth state parameters, and confirming the second growth state parameters as state parameters of potted plants in the intelligent flowerpot.
The beneficial effects of the above technical scheme are: the first growth state parameter of the potted plant is determined according to the texture of the picture, so that the deep growth state parameter of the potted plant can be obtained more accurately instead of the simple growth state parameter of the surface, a data base is provided for subsequent auxiliary operation evaluation, further, the influence of the parameter of the material artificially applied to the surface of the potted plant can be removed by removing the unnatural growth state parameter in the first growth state parameter, and the accuracy of the data is further improved.
In one embodiment, as shown in fig. 3, the evaluating whether the environmental parameter meets a standard growth condition of a pot plant in the intelligent flowerpot and selectively turning on a growth assisting function of the intelligent flowerpot according to the evaluation result comprises:
s301, determining growth evaluation data of the potted plant according to the environmental parameters;
step S302, determining the environmental level in the target environment according to the growth evaluation data;
step S303, judging whether the environment level is in an environment level interval corresponding to the standard growth condition of the potted plant in the intelligent flowerpot, and if so, confirming that the environment level meets the standard growth condition of the potted plant;
and S304, when the environment grade is confirmed not to meet the standard growth condition of the potted plant, starting the auxiliary ventilation and auxiliary lighting functions of the intelligent flowerpot.
The beneficial effects of the above technical scheme are: whether the environment grade meets the standard growth condition of the potted plant or not can be determined by evaluating the environment grade, so that the natural environment of the potted plant can be reasonably evaluated, and further, the decision guarantee is provided for the follow-up opening of the auxiliary ventilation and auxiliary lighting functions of the intelligent flowerpot.
In one embodiment, the determining the growth requirement of a pot plant in the intelligent flowerpot according to the state parameters includes:
analyzing the state parameters to determine a current growth state of the potted plant;
judging whether the current growth state is a healthy state or not according to the current growth state, if so, not needing subsequent operation, and otherwise, determining the sub-health state of the potted plant according to the current growth state;
matching the current growing environment of the potted plant from a preset database according to the sub-health state;
and determining the growth requirement of the potted plant in the intelligent flowerpot according to the current growth environment.
The beneficial effects of the above technical scheme are: the current growth environment of the potted plant is determined by utilizing a matching mode, deep digging and analysis of soil inside the potted plant can be avoided, damage to the growth environment of the potted plant is avoided, the survival performance of the potted plant is further improved, furthermore, the current growth environment is analyzed to determine the growth requirement of the potted plant in the intelligent flowerpot, compared with the prior art that human eyes objectively and accurately determine the growth requirement of the potted plant through monitoring image observation, the survival performance of the potted plant is further improved.
In one embodiment, after determining the growth requirement of a pot plant in the intelligent flowerpot according to the state parameter, before controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement, the method further comprises:
analyzing the soil in the intelligent flowerpot according to the growth requirement to obtain an analysis result;
determining the addition amount corresponding to each growth demand option according to the analysis result;
analyzing the analysis result, and determining the matrix distribution of the soil morphological parameters in the intelligent flowerpot;
and determining an operation area in the area corresponding to the soil in the intelligent flowerpot according to the matrix distribution, and associating the operation area with the addition amount corresponding to each growth demand option.
The beneficial effects of the above technical scheme are: the healthy growth of bonsai can be guaranteed and the waste of resources can be avoided through confirming the addition amount that every growth demand option corresponds, still indirectly improved the vitality of bonsai simultaneously, furtherly, can accurately confirm operating area and position to the growth distribution of bonsai in the inside soil of intelligent flowerpot through confirming the operating area, further guaranteed the survival rate of bonsai, also accurately realized simultaneously to the supplementary operation flow of bonsai, improved work efficiency.
In one embodiment, controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement comprises:
determining a target operation parameter corresponding to the intelligent flowerpot for executing the growth requirement;
determining a first operation instruction corresponding to the growth execution requirement of the intelligent flowerpot according to the target operation parameter;
setting a working index for the first operation instruction according to the addition amount corresponding to each growth demand option to obtain a second operation instruction;
and controlling the intelligent flowerpot to execute the second operation instruction.
The beneficial effects of the above technical scheme are: can make intelligent flowerpot come rationally to carry out the auxiliary operation to cultivated in a pot according to the addition that every demand option corresponds, further improve work efficiency.
In one embodiment, the method further comprises:
generating a laser signal, sending the laser signal to soil in the intelligent flowerpot, and receiving a feedback signal;
classifying the sub-signals in the feedback signals, and determining the spatial distribution of root systems potted in the soil in the intelligent flowerpot according to the classification result;
collecting secretions of potted plants in different root systems in real time according to a preset period and analyzing the secretions to determine the abnormal distribution state of the root systems of the potted plants;
and evaluating the abnormal distribution state of the root system, confirming whether the potted plant has death risk according to a second evaluation result, and if so, sending an alarm prompt.
The beneficial effects of the above technical scheme are: the root system growth condition of the pot in the soil can be determined in real time by determining the spatial distribution of the root system in the inner space of the pot according to the feedback signal of the soil, and further, whether the pot is life-threatening or not can be evaluated according to the abnormal distribution state analysis, so that the practicability is improved.
In one embodiment, the classifying the sub-signals in the feedback signal and determining the spatial distribution of the root system potted inside the soil in the intelligent flowerpot according to the classification result includes:
constructing a space image inside the soil of the intelligent flowerpot according to the classification result and the signal frequency of each sub-signal;
extracting first contour information in the space image;
determining a signal sequence of the laser signal, and determining a gain calibration sequence according to the signal sequence and a propagation map of the laser signal;
calibrating the first contour information by using the gain calibration sequence to obtain second contour information;
determining dynamic distribution of a first root system capable of potting in soil in the flowerpot according to the second outline information;
decomposing the first root system dynamic distribution into root system independent sub-distributions;
acquiring the dynamic modal response of each sub-distribution, and determining the stability of the root system corresponding to each sub-distribution according to the dynamic modal response of each sub-distribution;
determining a first spatial position of a corresponding first target root system according to the first sub-distribution with the stability greater than or equal to a preset threshold;
analyzing the target dynamic modal response of the second sub-distribution with the stability smaller than the preset threshold value to obtain a modal parameter of the target dynamic modal response;
calculating an aliasing coefficient of the modal parameter of each second sub-distribution, and determining a second spatial position of a second target root system corresponding to each second sub-distribution according to the aliasing coefficient, a preset root system distribution function and the internal soil area of the intelligent flowerpot;
and combining the first spatial position with the second spatial position to determine the spatial distribution of the root systems potted in the soil in the intelligent flowerpot.
The beneficial effects of the above technical scheme are: can confirm the spatial position of every root system cultivated in a pot in the inside soil of intelligent flowerpot accurately, improve the accuracy of final root system spatial distribution determination result, further, thereby can overcome the influence of laser signal self through confirming the gain calibration sequence and make the profile information after the calibration accord with reality more.
This embodiment also discloses a control system of intelligent flowerpot, as shown in fig. 4, this system includes:
the detection module 401 is configured to detect an environmental parameter of a target environment where the intelligent flowerpot is located and a state parameter of a potted plant in the intelligent flowerpot;
an evaluation module 402, configured to evaluate whether the environmental parameter meets a standard growth condition of a pot plant in an intelligent flowerpot, and selectively turn on a growth assisting function of the intelligent flowerpot according to a first evaluation result;
a determining module 403, configured to determine a growth requirement of a potted plant in the intelligent flowerpot according to the state parameter;
and the control module 404 is configured to control the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement.
The working principle and the advantageous effects of the above technical solution have been explained in the method claims, and are not described herein again.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. The control method of the intelligent flowerpot is characterized by comprising the following steps:
detecting environmental parameters of a target environment where the intelligent flowerpot is located and state parameters of a potted plant in the intelligent flowerpot;
evaluating whether the environmental parameters meet standard growth conditions of potted plants in the intelligent flowerpot, and selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result;
determining the growth requirement of a potted plant in the intelligent flowerpot according to the state parameters;
and controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth demand according to the growth demand.
2. The method for controlling the intelligent flowerpot according to claim 1, wherein the detecting of the environmental parameter of the target environment where the intelligent flowerpot is located and the state parameter of the potted plant in the intelligent flowerpot comprises:
detecting a sunlight irradiation parameter and a temperature parameter in the target environment, and determining the sunlight irradiation parameter and the temperature parameter as environment parameters of the target environment;
shooting a state image of a potted plant in the intelligent flowerpot to obtain a shot picture;
comparing the shot picture with a picture of the potted plant in a healthy state to determine a texture deviation degree, and determining a first growth state parameter of the potted plant according to the texture deviation degree and a preset growth state parameter of the potted plant;
and removing the unnatural growth state parameters in the first growth state parameters to obtain second growth state parameters, and confirming the second growth state parameters as state parameters of potted plants in the intelligent flowerpot.
3. The method for controlling the intelligent flowerpot according to claim 1, wherein the evaluating whether the environmental parameter meets a standard growth condition of a pot plant in the intelligent flowerpot and selectively starting a growth assisting function of the intelligent flowerpot according to the evaluation result comprises:
determining growth evaluation data of the potted plant according to the environmental parameters;
determining an environmental level within a target environment from the growth assessment data;
judging whether the environment level is in an environment level interval corresponding to the standard growth condition of the potted plant in the intelligent flowerpot, if so, confirming that the environment level meets the standard growth condition of the potted plant;
and when the environment grade is confirmed not to meet the standard growth condition of the potted plant, starting the auxiliary ventilation and auxiliary lighting functions of the intelligent flowerpot.
4. The method for controlling the intelligent flowerpot according to claim 1, wherein the determining of the growth requirement of the pot plant in the intelligent flowerpot according to the state parameters comprises:
analyzing the state parameters to determine a current growth state of the potted plant;
judging whether the current growth state is a healthy state or not according to the current growth state, if so, not needing subsequent operation, and otherwise, determining the sub-health state of the potted plant according to the current growth state;
matching the current growing environment of the potted plant from a preset database according to the sub-health state;
and determining the growth requirement of the potted plant in the intelligent flowerpot according to the current growth environment.
5. The method for controlling the intelligent flowerpot according to claim 1, wherein after determining the growth requirement of a pot plant in the intelligent flowerpot according to the state parameters, before controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth requirement according to the growth requirement, the method further comprises the following steps:
analyzing the soil in the intelligent flowerpot according to the growth requirement to obtain an analysis result;
determining the addition amount corresponding to each growth demand option according to the analysis result;
analyzing the analysis result, and determining the matrix distribution of the soil morphological parameters in the intelligent flowerpot;
and determining an operation area in the area corresponding to the soil in the intelligent flowerpot according to the matrix distribution, and associating the operation area with the addition amount corresponding to each growth demand option.
6. The method for controlling the intelligent flowerpot according to the claim 5, wherein the step of controlling the intelligent flowerpot to execute the operation instruction corresponding to the growth requirement according to the growth requirement comprises the following steps:
determining a target operation parameter corresponding to the intelligent flowerpot for executing the growth requirement;
determining a first operation instruction corresponding to the growth execution requirement of the intelligent flowerpot according to the target operation parameter;
setting a working index for the first operation instruction according to the addition amount corresponding to each growth demand option to obtain a second operation instruction;
and controlling the intelligent flowerpot to execute the second operation instruction.
7. The method for controlling an intelligent pot according to claim 1, further comprising:
generating a laser signal, sending the laser signal to soil in the intelligent flowerpot, and receiving a feedback signal;
classifying the sub-signals in the feedback signals, and determining the spatial distribution of root systems potted in the soil in the intelligent flowerpot according to the classification result;
collecting secretions of potted plants in different root systems in real time according to a preset period and analyzing the secretions to determine the abnormal distribution state of the root systems of the potted plants;
and evaluating the abnormal distribution state of the root system, confirming whether the potted plant has death risk according to a second evaluation result, and if so, sending an alarm prompt.
8. The method for controlling the intelligent flowerpot according to claim 7, wherein the step of classifying the sub-signals in the feedback signal and determining the spatial distribution of the root system of the potted plant inside the soil in the intelligent flowerpot according to the classification result comprises the steps of:
constructing a space image inside the soil of the intelligent flowerpot according to the classification result and the signal frequency of each sub-signal;
extracting first contour information in the space image;
determining a signal sequence of the laser signal, and determining a gain calibration sequence according to the signal sequence and a propagation map of the laser signal;
calibrating the first contour information by using the gain calibration sequence to obtain second contour information;
determining dynamic distribution of a first root system capable of potting in soil in the flowerpot according to the second outline information;
decomposing the first root system dynamic distribution into root system independent sub-distributions;
acquiring the dynamic modal response of each sub-distribution, and determining the stability of the root system corresponding to each sub-distribution according to the dynamic modal response of each sub-distribution;
determining a first spatial position of a corresponding first target root system according to the first sub-distribution with the stability greater than or equal to a preset threshold;
analyzing the target dynamic modal response of the second sub-distribution with the stability smaller than the preset threshold value to obtain a modal parameter of the target dynamic modal response;
calculating an aliasing coefficient of the modal parameter of each second sub-distribution, and determining a second spatial position of a second target root system corresponding to each second sub-distribution according to the aliasing coefficient, a preset root system distribution function and the internal soil area of the intelligent flowerpot;
and combining the first spatial position with the second spatial position to determine the spatial distribution of the root systems potted in the soil in the intelligent flowerpot.
9. The utility model provides a control system of intelligence flowerpot which characterized in that, this system includes:
the detection module is used for detecting the environmental parameters of the target environment where the intelligent flowerpot is located and the state parameters of the potted plants in the intelligent flowerpot;
the evaluation module is used for evaluating whether the environmental parameters meet standard growth conditions of potted plants in the intelligent flowerpot and selectively starting a growth auxiliary function of the intelligent flowerpot according to a first evaluation result;
the determining module is used for determining the growth requirement of the potted plant in the intelligent flowerpot according to the state parameters;
and the control module is used for controlling the intelligent flowerpot to execute an operation instruction corresponding to the growth demand according to the growth demand.
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Citations (10)
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