CN113647314A - Intervention method and system for soil planting - Google Patents
Intervention method and system for soil planting Download PDFInfo
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- CN113647314A CN113647314A CN202110790311.2A CN202110790311A CN113647314A CN 113647314 A CN113647314 A CN 113647314A CN 202110790311 A CN202110790311 A CN 202110790311A CN 113647314 A CN113647314 A CN 113647314A
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Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C23/00—Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
- A01C23/007—Metering or regulating systems
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C23/00—Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
- A01C23/04—Distributing under pressure; Distributing mud; Adaptation of watering systems for fertilising-liquids
- A01C23/042—Adding fertiliser to watering systems
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The application provides an intervention method for soil planting, which comprises the following steps: the server receives soil data that soil check out test set gathered, and soil data includes: soil moisture, soil EC value and soil microelement content; the server determines a corresponding crop identifier according to the identifier of the soil detection equipment; the server acquires a crop model corresponding to the crop identification; the server takes the soil data as the input of the crop model, and obtains parameters needing intervention and corresponding parameter intervention values output by the crop model; the server determines nutrient solution information to be supplemented according to the parameters to be intervened and the corresponding parameter intervention values; and the server instructs related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented. The method can effectively and accurately carry out automatic liquid preparation and irrigation. In addition, an intervention system for soil planting is also provided.
Description
Technical Field
The application relates to the technical field of information processing, in particular to an intervention method and system for soil planting.
Background
With the development of strategies in the fields of science and technology, technology and agriculture assistance and promotion of development of agricultural technology, science and technology personnel are always actively exploring the way of modern agricultural technology development, how to realize scientific planting and automatic production, ensure yield and income increase of farmers and improve production efficiency becomes the key point of research.
The existing scheme aiming at soil planting basically adopts a single machine form, production data cannot be stored persistently, and meanwhile, no guide standard exists in the liquid preparation and production process, and no scientific data guide exists in the drip irrigation process, so that scientific intervention cannot be performed on soil planting.
Thus, there is a need for a way to intervene efficiently.
Disclosure of Invention
The application provides a method and a system for intervening in soil planting, and the method for intervening in soil planting can greatly improve the effectiveness and accuracy of intervening.
A method for intervening in soil planting is applied to a soil planting intervening system, and the system comprises: a soil detection device, a server,
the method comprises the following steps:
the server receives soil data collected by the soil detection equipment, wherein the soil data comprises: soil moisture, soil EC value and soil microelement content;
the server determines a corresponding crop identifier according to the identifier of the soil detection device;
the server acquires a crop model corresponding to the crop identification;
the server takes the soil data as the input of the crop model, and obtains parameters needing intervention and corresponding parameter intervention values output by the crop model;
the server determines nutrient solution information to be supplemented according to the parameters needing intervention and the corresponding parameter intervention values;
and the server instructs related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented.
An intervention system for soil planting, the system comprising: soil detection equipment and a server;
the soil detection device is used for gathering soil data, soil data includes: soil moisture, soil EC value and soil microelement content;
the server is used for receiving soil data collected by the soil detection equipment; determining a corresponding crop identifier according to the identifier of the soil detection device; acquiring a crop model corresponding to the crop identification; taking the soil data as the input of the crop model, and acquiring parameters needing intervention and corresponding parameter intervention values output by the crop model; determining nutrient solution information to be supplemented according to the parameters needing intervention and the corresponding parameter intervention values; and indicating related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented.
According to the intervention method and system for soil planting, soil data are collected through the soil detection device, crop marks are obtained, crop models corresponding to the crop marks are obtained, the soil data are used as input of the crop models, output parameters needing intervention and corresponding parameter intervention values are obtained, nutrient solution information to be supplemented is further determined, and related hardware equipment is indicated to achieve automatic liquid preparation and irrigation according to the nutrient solution information to be supplemented.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a flow chart of a method of intervention in soil planting in one embodiment;
FIG. 2 is a flow diagram of a server directing associated hardware devices for automatic dispensing and irrigation in one embodiment;
FIG. 3 is an architecture diagram of an intervention system for soil planting in one embodiment.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, a method for intervention of soil planting is proposed, which is applied to an intervention system of soil planting, and the system comprises: soil detection equipment and a server;
the method comprises the following steps:
Wherein, soil check out test set is arranged in detecting the composition in the soil, includes: detecting soil moisture, detecting soil EC value, detecting soil microelement content, etc. The server is connected with the soil detection equipment through a network, and the soil detection equipment sends the detected soil data to the server. The soil EC value is used for measuring the concentration of soluble salt in the solution, and can also be used for measuring the concentration of soluble ions in liquid fertilizer or planting medium.
And 104, the server determines a corresponding crop identifier according to the identifier of the soil detection device.
Wherein, soil detection equipment is used for soil detection equipment of unique identification, and the crops sign is used for crops of unique identification, and for example, crops have cucumber, eggplant, hot pepper etc.. Each crop corresponds to an identifier, for example, the green cucumber corresponds to a green cucumber identifier, and the eggplant corresponds to an eggplant identifier. Different soil sensing devices will be employed for different crops accordingly. For example, the field of planting the green cucumber sets up soil detection equipment 1 in advance and is used for detecting the regional soil data of green cucumber, and the field of planting the eggplant sets up soil detection equipment 2 in advance and is used for detecting the regional soil data of eggplant.
And pre-establishing a corresponding relation between the soil detection equipment identifier and the crop identifier. For example, each soil detection device is numbered in advance, the corresponding number is used as an identifier of the soil detection device, then a corresponding crop identifier is determined according to an area actually detected by the soil detection device, and a corresponding relationship between the identifier of the soil detection device and the crop identifier is established. Therefore, in practical application, the server can quickly determine the corresponding crop identification according to the identification of the soil detection device.
And 106, the server acquires a crop model corresponding to the crop identification.
The growth characteristics of each crop are different, that is, the required growth environments are different, and in order to intervene in a targeted manner, a crop model is established in advance for each crop, for example, a pepper model corresponds to a pepper model, a cucumber model corresponds to a cucumber model, and an eggplant model corresponds to an eggplant model. The crop model comprises growth conditions suitable for the crop, such as a suitable soil moisture range, a soil EC value concentration range, a soil microelement content range and the like. For example, the pepper model is suitable for 10-20% of soil moisture, 300-500 us/cm of soil EC value concentration and the like.
And step 108, the server takes the soil data as the input of the crop model, and obtains parameters needing intervention and corresponding parameter intervention values output by the crop model.
The soil data is used as the input of the crop model, so that the soil data and a plurality of conditions contained in the crop model can be compared conveniently, and parameters needing intervention and corresponding parameter intervention values are determined according to comparison results. For example, the obtained soil data includes 8% of soil moisture, and the suitable soil moisture in the crop model is 10% to 20%, obviously, the current soil moisture needs to be intervened, the soil moisture is used as a parameter that needs to be intervened, and the corresponding parameter intervention value needs to be calculated specifically for how much intervention is needed, for example, if 15% is used as a standard soil moisture value, the corresponding parameter intervention value is 15% to 8% to 7%, that is, the corresponding intervention value of the soil moisture is 7% by calculation.
And step 110, the server determines nutrient solution information to be supplemented according to the parameters needing intervention and the corresponding parameter intervention values.
The method comprises the steps of determining parameters to be intervened and parameter intervention values, determining nutrient solution information, and determining nutrient solution information to be supplemented because each parameter to be intervened is finally irrigated into a field in a nutrient solution mode. And only the information of the nutrient solution to be supplemented is determined, the automatic liquid distribution can be carried out, and then irrigation can be carried out. For example, for a certain scene, assuming that the collected soil moisture is 8% and the EC value concentration is 600us/cm, through a certain algorithm, the nutrient solution which needs to be supplemented by 1.5 cubic meters and has the EC value concentration of 100us/cm may be obtained finally.
And step 112, the server instructs related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented.
Wherein the related hardware devices comprise: a clear water tank, a water-soluble fertilizer container, a stirring device and the like. For example, water is deeply poured into the nutrient solution barrel by opening a water valve of the clear water tank, then a certain amount of water-soluble fertilizer is poured into the nutrient solution barrel from the water-soluble fertilizer container, and finally the water-soluble fertilizer is stirred by the stirring device, so that the automatic preparation of the nutrient solution is completed. The nutrient solution is then flowed into the pipeline and then delivered to the crop through the pipeline. In order to save water resources, a drip irrigation mode is adopted for irrigation, and the size of water flow is controlled by controlling the electromagnetic valve on the pipeline, so that automatic drip irrigation is realized.
According to the intervention method for soil planting, soil data are collected through the soil detection device, after crop identification is obtained, the corresponding crop model is determined, the soil data are used as input of the crop model, the output parameters needing intervention and the corresponding parameter intervention values are obtained, nutrient solution information to be supplemented is further determined, and related hardware equipment is indicated to achieve automatic liquid preparation and irrigation according to the nutrient solution information to be supplemented.
In one embodiment, the crop model includes a soil moisture range, a soil EC value range, and a soil trace element content range;
the server takes the soil data as the input of the crop model, obtains parameters needing intervention and corresponding parameter intervention values output by the crop model, and comprises the following steps:
judging whether the soil moisture is in the soil moisture range or not, if not, determining the soil moisture as a parameter needing intervention, and determining a parameter intervention value corresponding to the soil moisture according to the difference value of the standard soil moisture and the soil moisture;
judging whether the soil EC value is in the soil EC value range or not, if not, determining the soil EC value as a parameter needing intervention, and determining a parameter intervention value corresponding to the soil EC value according to the difference value of the standard soil EC value and the soil EC value;
judging whether the content of the soil trace elements is in the soil trace element content range, if not, determining the content of the soil trace elements as parameters needing intervention, and determining parameter intervention values corresponding to the content of the soil trace elements according to the difference value of the standard soil trace element content and the content of the soil trace elements.
The crop model comprises parameters such as a soil moisture range, a soil EC value range, a soil microelement content range and the like, and each parameter is compared with the corresponding parameter range, if the parameter ranges, the intervention is not needed, and if the parameter ranges are not within the parameter ranges, the intervention is needed. Firstly, determining parameters needing intervention according to comparison, and then calculating to obtain corresponding intervention values according to standard values corresponding to each parameter. For example, if the soil moisture is in the range of 10% to 20% and the collected soil moisture is 8%, it indicates that the soil moisture needs to be intervened, i.e. the soil moisture is a parameter that needs to be intervened. Then, assuming that the standard soil moisture corresponding to the soil moisture is 15%, the parameter intervention value of the soil moisture is equal to the difference between the standard soil moisture and the soil moisture by 7%.
In one embodiment, the server determines nutrient solution information to be supplemented according to the parameters needing intervention and corresponding parameter intervention values, and the method comprises the following steps: determining substances to be supplemented according to parameters needing intervention; calculating to-be-supplemented nutrient solution information according to a corresponding parameter intervention value and a preset algorithm, wherein the to-be-supplemented nutrient solution information comprises: the volume of the nutrient solution and the content of substances to be supplemented in the nutrient solution.
Wherein, the nutrient solution information includes: the volume of the nutrient solution and the content of the substances contained therein. According to the principle of what is lacking, the substances needing to be supplemented are determined according to the parameters needing to be intervened obtained by the calculation, for example, if the calculation is lack of moisture, the substances are supplemented, and if the EC value is lacked or the EC value is excessive, the substances need to be supplemented or diluted. If the trace elements are not available, the trace elements need to be supplemented. The volume of nutrient solution is determined according to the amount of water to be supplemented. For example, assuming a calculated 7% water deficit, a 15% standard water deficit, and a total water demand in the field of 3.21 cubic meters in the area, the volume of nutrient solution required to be replenished is calculated to be 3.21 × 7/15 to 1.5 cubic meters.
In an embodiment, the nutrient solution information to be supplemented is obtained by calculating according to a preset algorithm according to the corresponding parameter intervention value, and the nutrient solution information to be supplemented includes: the volume of the nutrient solution and the content of substances to be supplemented in the nutrient solution comprise: calculating a difference between a standard soil moisture and the soil moisture; acquiring a total moisture reference value, and calculating the capacity of the nutrient solution according to the difference value between the standard soil moisture and the total moisture reference value; and when EC exists in the substances to be supplemented, acquiring the existing water content, and calculating to obtain the EC value to be supplemented according to the total water reference value, the existing water content, the soil EC value and the standard soil EC value.
Wherein the preset algorithm is specifically based on the targetAnd calculating the difference value of the quasi soil moisture and the total moisture reference value to obtain the volume of the nutrient solution. The following formula is adopted:
wherein S represents the calculated volume of the nutrient solution needing to be supplemented, y represents standard soil moisture, y' represents soil moisture, and E represents a total moisture reference value.
In one embodiment, the EC value is in us/cm, so there is a particular way to calculate it when calculating the EC value. Not only the total moisture reference, but also the existing moisture content, and the standard soil EC value and soil EC value, need to be known, and in one embodiment, are calculated using the following formula:
x2＝(E*x-E1*x1)/S
wherein x is2For the calculated EC value to be supplemented, E represents the total moisture reference value, E1Representing the existing water content, x representing the standard soil EC value, x1The EC value of the existing soil is shown, and S represents the volume of nutrient solution needing to be supplemented. For example, assume that E is 3.21m3，x＝400us/cm，x1＝600us/cm，S＝1.5m3，E1＝1.71m3Then x is calculated2＝((3.21*400)-(1.71*600))/1.5＝172us/cm。
As shown in fig. 2, in one embodiment, the server instructs the related hardware device to perform automatic dispensing and irrigation according to the nutrient solution information to be supplemented, including:
Wherein, the information of the nutrient solution to be supplemented is known, and the specific water dosage and the water-soluble fertilizer dosage can be determined according to the information of the nutrient solution to be supplemented. For example, the volume of the nutrient solution is known as the amount of water. Knowing the content of the substance to be supplemented in the nutrient solution, the amount of water-soluble fertilizer to be used can be determined.
And step 204, the server controls a water valve of the clean water tank to be opened, and clean water corresponding to the water consumption is input into the nutrient solution barrel.
The clear water corresponding to the amount of water is input into the nutrient solution barrel by controlling the on-off of a water valve of the clear water tank, for example, if 1.5 liters of water needs to be input, 1.5 liters of water is added into the nutrient solution barrel from the clear water tank.
And step 206, the server controls the water-soluble fertilizer container to pour the water-soluble fertilizer with the same amount as the water-soluble fertilizer into the nutrient solution barrel.
Wherein, the water-soluble fertilizer container is controlled according to the dosage of the water-soluble fertilizer, and the corresponding fertilizer is poured into the nutrient solution barrel.
And 208, controlling the nutrient solution barrel added with the clear water and the water-soluble fertilizer to stir by the server to finish liquid preparation.
Wherein, clear water and fertilizer are poured into the nutrient solution barrel and then stirred to complete the solution preparation.
And step 210, controlling nutrient solution in the nutrient solution barrel to enter a pipeline by the server, and controlling the water flow through an electromagnetic valve on the pipeline so as to realize automatic drip irrigation.
Wherein, join in marriage liquid automatically and accomplish the back, need irrigate the field with it, in order to save the water resource, adopt the form of driping irrigation, come the size of control flow through the solenoid valve on the control tube way to the realization is driped irrigation with predetermined rivers size. The server realizes automatic liquid distribution and irrigation by controlling related hardware equipment, greatly improves the effectiveness and accuracy of intervention, and is favorable for saving labor cost.
In one embodiment, the system further comprises: the air detection equipment is used for acquiring air humidity, air temperature and illumination intensity; the method further comprises the following steps: the server receives air data collected by the air detection equipment, wherein the air data comprises: air humidity, air temperature and light intensity; the server determines a corresponding crop identifier according to the identifier of the air detection equipment; the server acquires a crop model corresponding to the crop identification; the server takes the air data as the input of the crop model to obtain an intervention scheme output by the crop model; controlling at least one of the air humidifier, the air temperature regulator, and the light regulator to perform an intervention process according to the intervention plan.
The greenhouse environment can be used for monitoring and intervening soil data and air data including air humidity, temperature, illumination intensity and the like, different crops have different crop models, the air data serve as corresponding crop models, corresponding intervening schemes can be obtained, for example, if the air humidity is insufficient, an air humidifier is controlled to intervene, if the air temperature is too high or too low, an air temperature regulator is controlled to regulate the air temperature, and the illumination regulator is used for regulating illumination conditions. Through automatic intervention on air data, the effectiveness and accuracy of intervention are improved, and the yield of crops is improved.
As shown in fig. 3, a soil planting intervention system is proposed, the system comprising: the soil detection device 302, the server 304, the soil detection device 302 and the server 304 are connected through a network;
the soil detection device is used for gathering soil data, soil data includes: soil moisture, soil EC value and soil microelement content;
the server is used for receiving soil data collected by the soil detection equipment; determining a corresponding crop identifier according to the identifier of the soil detection device; acquiring a crop model corresponding to the crop identification; taking the soil data as the input of the crop model, and acquiring parameters needing intervention and corresponding parameter intervention values output by the crop model; determining nutrient solution information to be supplemented according to the parameters needing intervention and the corresponding parameter intervention values; and indicating related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented.
In one embodiment, the server is further configured to determine whether the soil moisture is in the soil moisture range, determine soil moisture as a parameter requiring intervention if the soil moisture is in the soil moisture range, determine a parameter intervention value corresponding to the soil moisture according to a difference between the soil moisture and a standard soil moisture, determine whether the soil EC value is in the soil EC value range if the soil EC value is in the soil EC value range, determine a soil EC value as a parameter requiring intervention if the soil EC value is not in the soil moisture range, and determine a parameter intervention value corresponding to the soil EC value according to a difference between the soil EC value and a standard soil EC value; judging whether the content of the soil trace elements is in the soil trace element content range or not, if not, determining the content of the soil trace elements as parameters needing intervention, and determining parameter intervention values corresponding to the content of the soil trace elements according to the difference value of the content of the soil trace elements and the content of standard soil trace elements.
In one embodiment, the server is further configured to determine a substance to be replenished based on the parameter requiring intervention; calculating to-be-supplemented nutrient solution information according to a corresponding parameter intervention value and a preset algorithm, wherein the to-be-supplemented nutrient solution information comprises: the volume of the nutrient solution and the content of substances to be supplemented in the nutrient solution.
In one embodiment, the server is further configured to calculate a difference between the standard soil moisture and the soil moisture; acquiring a total moisture reference value, and calculating the capacity of the nutrient solution according to the difference value between the standard soil moisture and the total moisture reference value; and when EC exists in the substances to be supplemented, acquiring the existing water content, and calculating to obtain the EC value to be supplemented according to the total water reference value, the existing water content, the soil EC value and the standard soil EC value.
In one embodiment, the server is further used for determining the water usage amount and the water-soluble fertilizer usage amount according to the nutrient solution information to be supplemented; controlling a water valve of a clear water tank to be opened, and inputting clear water corresponding to the amount of the water into a nutrient solution barrel; controlling a water-soluble fertilizer container to pour out water-soluble fertilizer with the same amount as the water-soluble fertilizer into the nutrient solution barrel; controlling the nutrient solution barrel added with the clear water and the water-soluble fertilizer to stir to complete solution preparation; and controlling the nutrient solution in the nutrient solution barrel to enter a pipeline, and controlling the water flow through an electromagnetic valve on the pipeline so as to realize automatic drip irrigation.
In one embodiment, the system further comprises: the air detection equipment is used for acquiring air humidity, air temperature and illumination intensity;
the server is further configured to receive air data collected by the air detection device, where the air data includes: air humidity, air temperature and light intensity; determining a corresponding crop identifier according to the identifier of the air detection equipment; acquiring a crop model corresponding to the crop identification; taking the air data as the input of the crop model, and acquiring an intervention scheme output by the crop model; controlling at least one of the air humidifier, the air temperature regulator, and the light regulator to perform an intervention process according to the intervention plan.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An intervention method for soil planting, which is applied to an intervention system for soil planting, and the system comprises: soil detection equipment and a server, which are characterized in that,
the method comprises the following steps:
the server receives soil data collected by the soil detection equipment, wherein the soil data comprises: soil moisture, soil EC value and soil microelement content;
the server determines a corresponding crop identifier according to the identifier of the soil detection device;
the server acquires a crop model corresponding to the crop identification;
the server takes the soil data as the input of the crop model, and obtains parameters needing intervention and corresponding parameter intervention values output by the crop model;
the server determines nutrient solution information to be supplemented according to the parameters needing intervention and the corresponding parameter intervention values;
and the server instructs related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented.
2. The method of claim 1, wherein the crop model includes a soil moisture range, a soil EC value range, and a soil trace element content range;
the server takes the soil data as the input of the crop model, obtains parameters needing intervention and corresponding parameter intervention values output by the crop model, and comprises the following steps:
judging whether the soil moisture is in the soil moisture range or not, if not, determining the soil moisture as a parameter needing intervention, and determining a parameter intervention value corresponding to the soil moisture according to a difference value between standard soil moisture and the soil moisture;
judging whether the soil EC value is in the soil EC value range or not, if not, determining the soil EC value as a parameter needing intervention, and determining a parameter intervention value corresponding to the soil EC value according to a difference value between a standard soil EC value and the soil EC value;
judging whether the content of the soil trace elements is in the soil trace element content range or not, if not, determining the content of the soil trace elements as parameters needing intervention, and determining parameter intervention values corresponding to the content of the soil trace elements according to the difference value between the standard content of the soil trace elements and the content of the soil trace elements.
3. The method according to claim 1, wherein the server determines nutrient solution information to be supplemented according to the parameters needing intervention and corresponding parameter intervention values, and the method comprises the following steps:
determining substances to be supplemented according to parameters needing intervention;
calculating to-be-supplemented nutrient solution information according to a corresponding parameter intervention value and a preset algorithm, wherein the to-be-supplemented nutrient solution information comprises: the volume of the nutrient solution and the content of substances to be supplemented in the nutrient solution.
4. The method according to claim 3, wherein the nutrient solution information to be supplemented is calculated according to the corresponding parameter intervention value and a preset algorithm, and the nutrient solution information to be supplemented comprises: the volume of the nutrient solution and the content of substances to be supplemented in the nutrient solution comprise:
calculating a difference between the standard soil moisture and the soil moisture;
acquiring a total moisture reference value, and calculating the capacity of the nutrient solution according to the difference value between the standard soil moisture and the total moisture reference value;
and when EC exists in the substances to be supplemented, acquiring the existing water content, and calculating to obtain the EC value to be supplemented according to the total water reference value, the existing water content, the soil EC value and the standard soil EC value.
5. The method of claim 1, wherein the server instructs related hardware equipment to automatically dispense and irrigate according to the nutrient solution information to be supplemented, comprising:
the server determines the using amount of water and the using amount of the water-soluble fertilizer according to the nutrient solution information to be supplemented;
the server controls a water valve of the clear water tank to be opened, and clear water corresponding to the water consumption is input into the nutrient solution barrel;
the server controls a water-soluble fertilizer container to pour water-soluble fertilizer with the same amount as the water-soluble fertilizer into the nutrient solution barrel;
the server controls the nutrient solution barrel which is added with the clear water and the water-soluble fertilizer to stir, and liquid preparation is completed;
the server controls the nutrient solution in the nutrient solution barrel to enter the pipeline, and the electromagnetic valve on the pipeline is used for controlling the water flow, so that automatic drip irrigation is realized.
6. The method of claim 1, wherein the system further comprises: the air detection equipment is used for acquiring air humidity, air temperature and illumination intensity;
the method further comprises the following steps:
the server receives air data collected by the air detection equipment, wherein the air data comprises: air humidity, air temperature and light intensity;
the server determines a corresponding crop identifier according to the identifier of the air detection equipment;
the server acquires a crop model corresponding to the crop identification;
the server takes the air data as the input of the crop model to obtain an intervention scheme output by the crop model;
controlling at least one of the air humidifier, the air temperature regulator, and the light regulator to perform an intervention process according to the intervention plan.
7. An intervention system for soil planting, the system comprising: soil detection equipment and a server;
the soil detection device is used for gathering soil data, soil data includes: soil moisture, soil EC value and soil microelement content;
the server is used for receiving soil data collected by the soil detection equipment; determining a corresponding crop identifier according to the identifier of the soil detection device; acquiring a crop model corresponding to the crop identification; taking the soil data as the input of the crop model, and acquiring parameters needing intervention and corresponding parameter intervention values output by the crop model; determining nutrient solution information to be supplemented according to the parameters needing intervention and the corresponding parameter intervention values; and indicating related hardware equipment to carry out automatic liquid distribution and irrigation according to the nutrient solution information to be supplemented.
8. The system of claim 7, wherein the server is further configured to determine whether the soil moisture is in the soil moisture range, determine soil moisture as a parameter requiring intervention if the soil moisture is in the soil moisture range, determine a parameter intervention value corresponding to the soil moisture according to a difference between the soil moisture and a standard soil moisture to determine whether the soil EC value is in the soil EC value range, determine a soil EC value as a parameter requiring intervention if the soil EC value is not in the soil EC value range, and determine a parameter intervention value corresponding to the soil EC value according to a difference between the soil EC value and a standard soil EC value; judging whether the content of the soil trace elements is in the soil trace element content range or not, if not, determining the content of the soil trace elements as parameters needing intervention, and determining parameter intervention values corresponding to the content of the soil trace elements according to the difference value of the content of the soil trace elements and the content of standard soil trace elements.
9. The system of claim 7, wherein the server is further configured to determine a substance to be replenished based on a parameter requiring intervention; calculating to-be-supplemented nutrient solution information according to a corresponding parameter intervention value and a preset algorithm, wherein the to-be-supplemented nutrient solution information comprises: the volume of the nutrient solution and the content of substances to be supplemented in the nutrient solution.
10. The system of claim 7, further comprising: the air detection equipment is used for acquiring air humidity, air temperature and illumination intensity;
the server is used for receiving air data collected by the air detection equipment, and the air data comprises: air humidity, air temperature and light intensity; determining a corresponding crop identifier according to the identifier of the air detection equipment; acquiring a crop model corresponding to the crop identification; taking the air data as the input of the crop model, and acquiring an intervention scheme output by the crop model; controlling at least one of the air humidifier, the air temperature regulator, and the light regulator to perform an intervention process according to the intervention plan.
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