CN112697996A - Soil monitoring method, device, equipment and storage medium - Google Patents

Soil monitoring method, device, equipment and storage medium Download PDF

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CN112697996A
CN112697996A CN201911005160.4A CN201911005160A CN112697996A CN 112697996 A CN112697996 A CN 112697996A CN 201911005160 A CN201911005160 A CN 201911005160A CN 112697996 A CN112697996 A CN 112697996A
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soil
parameter values
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翁倩
唐睿
刘一珉
卞军伟
廖鹏程
詹海鹏
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China Mobile Communications Group Co Ltd
China Mobile Chengdu ICT Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Chengdu ICT Co Ltd
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Abstract

The invention discloses a soil monitoring method, a soil monitoring device, soil monitoring equipment and a storage medium. The method comprises the following steps: acquiring a plurality of first physical parameter values acquired by a plurality of soil acquisition points acquired by a soil physical parameter sensor in a first time period; the plurality of soil collection points are soil collection points of the same target soil; determining first variation information of a plurality of first physical parameter values in a first time period; and when the first change information meets the preset condition, generating prompt information, wherein the prompt information is used for prompting a farmer to adjust the physical condition of the soil. According to the embodiment of the invention, the change of the physical condition of the soil can be analyzed through the soil temperature and humidity sensor, the improvement of the physical condition of the soil can be judged in time, and the farming activity can be guided, so that the efficiency and the accuracy of soil monitoring are improved.

Description

Soil monitoring method, device, equipment and storage medium
Technical Field
The invention belongs to the technical field of monitoring, and particularly relates to a soil monitoring method, a soil monitoring device, soil monitoring equipment and a storage medium.
Background
The mark of soil fertility is good soil property, rich nutrient content, good soil water permeability and water retention, unobstructed soil ventilation condition and heat absorption and heat preservation capability. The four major fertility factors of the soil comprise nutrient factors, physical factors, chemical factors and biological factors. Wherein the physical factors of soil fertility refer to the texture, structural condition, porosity, moisture and temperature condition of the soil, and the like. They affect the oxygen content, the redox and the aeration conditions of the soil, and thus the rate and the state of the conversion of nutrients in the soil, the nature and the law of functioning of the soil water and the growth and physiological activities of the plant root system. The physical factors of the soil fertility have obvious restriction effect on the change of water, fertilizer, gas and heat in the soil.
The existing manual monitoring method depends on the experience of agricultural experts and growers, a large amount of manpower is consumed, and errors exist due to possible judgment errors; the existing laboratory has long analysis time period, is not beneficial to timely judging the soil state, has large requirement on professional personnel, has complex process and can not timely improve the physical condition of soil fertility.
Disclosure of Invention
The embodiment of the invention provides a soil monitoring method which can be used for analyzing the change of soil physical conditions based on a soil temperature and humidity sensor, judging the soil physical conditions in time and guiding the farming activities.
In a first aspect, an embodiment of the present invention provides a soil monitoring method, including:
acquiring a plurality of first physical parameter values acquired by a plurality of soil acquisition points acquired by a soil physical parameter sensor in a first time period; the plurality of soil collection points are soil collection points of the same target soil; determining first variation information of a plurality of first physical parameter values in a first time period; and when the first change information meets the preset condition, generating prompt information, wherein the prompt information is used for prompting a farmer to adjust the physical condition of the soil.
In one possible implementation, determining an absolute value of fluctuation of the first change information relative to preset second change information, wherein the preset second change information is change information of a plurality of second physical parameter values in a second time period, which is determined according to a plurality of second physical parameter values obtained by collecting a plurality of soil collection points in the second time period; when the absolute value of the fluctuation satisfies a preset threshold, it is determined that the first change information satisfies a preset condition.
In another possible implementation, the plurality of soil collection points are a plurality of soil collection points at the same depth, or the plurality of soil collection points are a plurality of soil collection points at different depths.
In yet another possible implementation, determining first variation information of the plurality of first physical parameter values in the first time period includes: determining first physical characteristic parameter values corresponding to the plurality of first physical parameter values respectively; first variation information is determined based on the plurality of first physical characteristic parameter values.
In yet another possible implementation, determining the second variation information includes: determining second physical characteristic parameter values corresponding to the plurality of second physical parameter values respectively; and determining second variation information according to the plurality of second physical characteristic parameter values.
In yet another possible implementation, the first and second physical parameter values include temperature and humidity, respectively.
In yet another possible implementation, the first physical characteristic parameter value and the second physical characteristic parameter value include a moisture-like diffusivity and a moisture-isothermal diffusivity, respectively.
In a second aspect, an embodiment of the present invention provides a processing apparatus, where the apparatus includes:
the monitoring module is used for acquiring a plurality of first physical parameter values acquired by a plurality of soil acquisition points acquired by the soil physical parameter sensor within a first time period; the plurality of soil collection points are soil collection points of the same target soil; the calculation module is used for determining first change information of a plurality of first physical parameter values in a first time period; and the detection module is used for generating prompt information when the first change information meets the preset condition, and the prompt information is used for prompting a farmer to adjust the physical condition of the soil.
In a third aspect, an embodiment of the present invention provides a computing device, where the device includes: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the computing method as provided by embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium, where computer program instructions are stored, and when the computer program instructions are executed by a processor, the computer program instructions implement the processing method provided by the embodiment of the present invention.
According to the soil monitoring method, the soil monitoring device, the soil monitoring equipment and the computer storage medium, a periodic change rule is obtained by data mining and data analysis of soil physical parameter values obtained by the sensor, and dynamic change information of soil is compared with historical change information or predicted change information of the soil, so that dynamic monitoring and real-time analysis of soil physical conditions are achieved, and further agricultural activities are guided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a soil monitoring method provided by an embodiment of the invention;
FIG. 2 is a schematic cross-sectional view of soil provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of variation information provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of another variation information provided by the embodiment of the present invention;
FIG. 5 is a schematic flow chart provided by an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of an apparatus provided by an embodiment of the present invention;
fig. 7 is a schematic diagram of an exemplary hardware architecture provided by an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The soil texture is also the soil type divided according to the particle composition of the soil, mainly inherits the type and the characteristics of the matrix of the finished soil, is influenced by artificial factors such as farming, fertilizing, irrigation and drainage, land leveling and the like, is a very stable natural attribute of the soil, and has great influence on the soil fertility.
The sandy soil has good permeability, is easy to cultivate and fast in temperature rise, but the sandy soil has weak drought resistance and is easy to leak water and fertilizer, so that the soil has less nutrients, and in addition, the sandy soil lacks of clay grains and organic matters, so that the fertilizer retention performance is weak, and the quick-acting fertilizer is easy to lose along with rainwater and irrigation water. Therefore, the organic fertilizer is applied to sandy soil forcibly, topdressing is carried out timely, and the principle of frequent watering and thin application is mastered.
The clay soil has rich nutrients and high organic matter content, so most soil nutrients are not easy to be lost by rain and irrigation water, and the fertilizer retention performance is good. However, the clay has poor permeability and is difficult to cultivate, and when the soil is in rain or irrigated, water is difficult to seep in the soil body, so that the water is difficult to drain, the growth of crop root systems is influenced, and the absorption of the root systems to soil nutrients is hindered. For the soil, the ditching and the drainage are paid attention to the production, the underground water level is reduced to avoid or reduce waterlogging, and the fine cultivation is selected under the condition of proper soil moisture, so that the soil structure and the soil tilth are improved, and the release of soil nutrients is promoted.
The soil is not sticky and sand-free, has the advantages of sandy soil and clay, is ideal soil, has excellent ploughability and is suitable for various crops.
According to the physical conditions of different soils, different improvement operations can be made. The yield of most crops in agricultural production can be increased by improving the physical conditions of the soil, the dynamic change conditions of the temperature and the moisture of the soil can reflect the texture, the structural condition, the porosity and the like of the soil, and then the change conditions of the physical conditions of the soil can be analyzed. According to the change condition of the physical condition of the soil, the user can be reminded in time whether to irrigate, turn over, loosen and improve the soil. And then the planting condition is timely and effectively improved.
The existing manual monitoring method depends on the experience of agricultural experts and growers, has high requirements on experts and labor personnel, and can cause errors due to misjudgment and errors, thereby bringing about insufficient further fertility of the soil.
And laboratory analysis spends the time cycle long, is unfavorable for in time judging the soil state to consume the manual work many, the professional demand is big, the process is complicated, soil fertility physical condition can not in time be improved.
In order to improve the accuracy and efficiency of soil detection, the embodiment of the invention provides a soil monitoring method, and the soil monitoring method provided by the embodiment of the invention is first described in detail below.
Fig. 1 is a schematic flow chart of a user soil monitoring method according to an embodiment of the present invention. As shown in fig. 1, the execution subject of the method is a server, and the method may include S101-S103, which are specifically as follows:
s101, obtaining a plurality of first physical parameter values obtained by a plurality of soil collection points collected by a soil physical parameter sensor in a first time period; the plurality of soil collection points are soil collection points of the same target soil.
The plurality of soil collection points are a plurality of soil collection points with the same depth, or the plurality of soil collection points are a plurality of soil collection points with different depths.
In one embodiment, the soil collection points at the same depth are multiple sampling points deployed in the horizontal direction, and the data collected by the sampling points can be averaged by deploying the sampling points in the horizontal direction, so that the stability and the referential performance of data collection can be improved. For example, on 100 square meters of soil, one sampling point is deployed every 10 square meters, i.e., there are 10 sampling points in total. And averaging the data acquired by the 10 sampling points at the same time point to obtain the soil physical parameter value of the time point.
In one embodiment, the multiple soil collection points with different depths are multiple sampling points deployed in the profile direction, and the multiple sampling points deployed in the profile direction can perform fitting processing on data collected by the sampling points, so that the rule that the physical parameter value changes along with the increase of the depth is determined.
The factors of the change of the soil temperature are many, such as the structure, texture, tightness, porosity, water content of the soil affect the heat capacity and heat conductivity of the soil and the heat consumed by the water evaporation of the soil. The change of the physical conditions of the soil can be reflected by the temperature and the humidity of the soil.
The soil temperature and humidity change trends of different depths are basically consistent, the soil temperature and humidity change trend is changed periodically along with the time, the temperature is gradually reduced along with the increase of the soil depth, the image trend is that the amplitude of temperature waves is gradually reduced, the change amplitude of the water content is also gradually reduced, and the delay time is gradually increased. That is, it is assumed that the change rule of the physical parameter value of the soil collected at a depth of 20cm along with time is first depth soil change information, and the fluctuation amplitude of the physical parameter value of the soil at the first depth along with time is a first depth amplitude; and on the basis that the change rule of the physical parameter value of the soil collected at the depth of 40cm along with the time is the change information of the soil at the second depth, and the fluctuation amplitude of the physical parameter value of the soil at the second depth along with the time is the second depth amplitude. The second depth magnitude should be less than the first depth magnitude and the second depth magnitude should occur at a time later than the first depth magnitude.
In one embodiment, soil temperature and humidity sensors are deployed on the horizontal plane and the profile, and it is understood that the soil temperature and humidity sensors can measure the temperature and humidity of the soil simultaneously. The soil physical parameter sensor can simultaneously measure a plurality of physical parameter values of soil.
The soil humidity sensor is a sensor for measuring soil moisture with high precision and high sensitivity. By measuring the dielectric constant of the soil, the real moisture content of various soils can be directly and stably reflected. The soil moisture sensor can measure the volume percentage of soil moisture, and is a soil moisture measuring method which meets the current international standard. The soil temperature sensor can monitor the soil temperature and is used for experiments and scientific researches.
The soil temperature and humidity sensor, the soil temperature sensor and the soil physical parameter sensor all adopt buried measuring methods.
In one embodiment, fig. 2 is a schematic cross-sectional view of soil provided by an embodiment of the invention. As shown in fig. 2, a pit with a diameter of more than 60cm is dug in the vertical soil horizontal plane, the depth is determined according to the requirements of the actual measurement process, then the sensor steel needle is horizontally inserted into the pit wall at the depths of 20cm, 40cm and 60cm respectively, the pit is filled with soil, and the soil in the pit is compacted to ensure that the sensor steel needle is in close contact with the soil. After a period of stabilization, measurements and recordings can be made for several days, months or even longer. The soil temperature and humidity sensor can continuously monitor the soil temperature, and has stable performance, high reliability and no maintenance.
S102, determining first change information of a plurality of first physical parameter values in a first time period.
Determining first variation information of a plurality of first physical parameter values in a first time period, comprising: determining first physical characteristic parameter values corresponding to the plurality of first physical parameter values respectively; first variation information is determined based on the plurality of first physical characteristic parameter values.
As shown in fig. 3, fig. 3 is a schematic diagram of variation information provided by an embodiment of the present invention. When the plurality of soil collection points are a plurality of soil collection points with different depths, on one hand, the first change information can represent the change situation that the physical parameter value of a certain time obtained by a time node with more representative data in a certain time period increases along with the soil depth. For example, the variation of the physical parameter value collected at 18 th day within 30 days along with the soil parameter is taken as first variation information; on the other hand, the first variation information may also indicate a variation of the average value of the collected physical parameter values with the soil depth increase in a certain time period, for example, the physical parameter values collected within seven days of the week are averaged, and a variation of the average value of the physical parameter values with the soil depth increase in seven days is taken as the first variation information. It will be appreciated that the time nodes at which the values of the physical parameters are collected are substantially consistent over the seven days. The data acquisition condition of the second change information is consistent with the first change information.
Fig. 4 is a schematic diagram illustrating variation information according to an embodiment of the present invention, and as shown in fig. 4, when a plurality of soil collection points are a plurality of soil collection points at the same depth, first variation information indicates that a physical parameter value varies with time within a certain time period; the second variation information indicates a case where the value of the physical parameter varies with time within a certain historical time period. It is understood that the time period may be hours, days, weeks or months, with the second variation information occurring before the first variation information.
The first and second physical parameter values include temperature and humidity, respectively.
In one embodiment, first change information of the plurality of temperature values over a first time period is determined, and first change information of the plurality of humidity values over the first time period is determined.
The first physical characteristic parameter value and the second physical characteristic parameter value respectively comprise moisture equal-temperature diffusivity and moisture equal-temperature diffusivity.
In one embodiment, moisture and other moisture diffusivities corresponding to a plurality of temperature values respectively are determined, and first change information is determined according to the moisture and other moisture diffusivities; and determining moisture isothermal diffusivity corresponding to the plurality of humidity values respectively, and determining first change information according to the plurality of moisture isothermal diffusivity.
Determining the first physical characteristic parameter values corresponding to the plurality of first physical parameter values respectively comprises: calculating according to the obtained real-time soil temperature data and a moisture equal-moisture diffusivity formula in the unsaturated soil heat-moisture coupling migration basic model; and calculating according to the obtained real-time soil humidity data and a moisture isothermal diffusivity formula in the unsaturated soil heat-moisture coupling migration basic model.
DT=-2.3495*10-56+2.037*10-55-6.6946*10-64+1.0438*10-63-7.8699*10-82+2.735*10-93-5.4039*10-12
Dθ=2.2176*10-6*(θ6*e-7)exp(-2.09*10-3*T)
Wherein D isTMoisture isowet diffusivity; dθThe isothermal diffusivity of water is shown in the table 1 and the table 2, T is the soil temperature, theta is the soil humidity, data are obtained according to the record of a sensor, e is the soil porosity which is determined according to the soil planted in the greenhouse, and the specific reference value of the soil porosity is shown in the table 2.
TABLE 1 reference value for soil porosity
Figure BDA0002242528060000081
TABLE 2 relationship of soil texture to moisture and air
Figure BDA0002242528060000082
S103, when the first change information meets the preset condition, prompt information is generated and used for prompting a farmer to adjust the physical condition of the soil.
Determining an absolute value of fluctuation of the first change information relative to preset second change information, wherein the preset second change information is change information of a plurality of second physical parameter values in a second time period, which is determined according to a plurality of second physical parameter values obtained by collecting a plurality of soil collecting points in the second time period; when the absolute value of the fluctuation satisfies a preset threshold, it is determined that the first change information satisfies a preset condition.
In one embodiment, as shown in fig. 3, it is assumed that the first variation information is measured on day 300 after the start of monitoring and the second variation information is measured on day 30 after the start of monitoring. And if the change of the first change information in the soil depth of 20cm-40cm exceeds an interval formed by a first threshold value and a second threshold value determined by the second change information, and the absolute value of the fluctuation of the first change information relative to the preset second change information is considered to meet the preset threshold value, determining that the first change information meets the preset condition, and generating prompt information, wherein the prompt information is used for prompting farmers to add organic fertilizers, turn over and the like in time to improve the physical conditions of the soil. The change of the first change information in the soil depth of 60cm-100cm does not exceed an interval consisting of a first threshold value and a second threshold value determined by the second change information, and if the absolute value of the fluctuation of the first change information relative to the preset second change information does not meet the preset threshold value, the first change information is determined not to meet the preset condition, namely the soil physical condition is normal.
In an embodiment, as shown in fig. 4, when the first type of first variation information is compared with the second variation information, the periodic rule is changed, that is, the first variation information does not satisfy the preset condition, and the farmer receives the prompt information for improving the soil condition, so as to check the soil condition. And then improving the soil condition according to the content of the prompt message and the actual soil condition. Or the change condition of the second type of first change information in the same time period as the second change information exceeds an interval formed by a first threshold and a second threshold determined by the second change information, the condition is that the absolute value of the fluctuation of the first change information relative to the preset second change information meets the preset threshold, the first change information meets the preset condition, prompt information is generated, and the prompt information is used for prompting farmers to add organic fertilizers in time, plough and the like to improve the physical conditions of the soil.
In one embodiment, regression fitting is performed on different soil layer data at the same time point in a historical period, a curve obtained by fitting is used as a reference line, namely second change information, first change information measured subsequently is compared with the reference line, and if the first change information exceeds a threshold interval determined by the second change information or the periodic rule of the first change information changes compared with the second change information, farmers are prompted to adjust the soil state, the change condition of the physical condition of the soil is improved, organic fertilizer is added in time, ploughing is performed, and the like, and the soil state is improved.
In one embodiment, fig. 5 shows a flow diagram provided by an embodiment of the present invention, as shown in fig. 5,
firstly, deploying soil temperature and humidity sensors on a horizontal plane and a section, wherein the soil temperature and humidity sensors and the section both adopt buried measuring methods: and vertically digging a pit with the diameter larger than 60cm, horizontally inserting a sensor steel needle into the pit wall at the depth of 20cm, 40cm and 60cm according to the measurement requirement, burying and compacting the pit, and ensuring that the pit is tightly contacted with the soil. After a period of stabilization, measurements and recordings of successive time periods can be made.
And secondly, monitoring the soil temperature and the soil humidity by using a soil temperature and humidity sensor to obtain soil temperature and humidity data in a transverse space and a longitudinal space, and respectively obtaining data sets of 20cm, 40cm and 60cm on a soil profile.
Then, the control center analyzes the change of the soil temperature and humidity characteristics according to the acquired data set, on one hand, the acquired soil temperature and soil humidity data set is monitored and analyzed to respectively obtain a periodic change rule, namely first change information; on the other hand, the moisture-like moisture diffusivity D is obtained by utilizing the soil temperature and the soil humidityTAnd moisture isothermal diffusivity and DθAnd moisture diffusion rate D according to moistureTAnd moisture isothermal diffusivity and DθThe data sets are monitored and analyzed to respectively obtain periodic variation rules, namely first variation information.
And finally, according to the data set uploaded by the control center, performing time prediction analysis on the soil data of the same soil layer in different times in a preset period after planting is started to obtain first change information. Comparing the data obtained in the preset period with the predicted value, it can be understood that the predicted value, i.e. the second change information, may be obtained by an expert through calculation based on soil characteristics, or may be obtained based on a data set of soil physical parameters in a historical period. If the first change information exceeds the threshold interval determined by the second change information, or the first change information and the second change information are compared with each other and change regularly periodically, the system prompts a farmer to adjust the soil state.
Or, performing regression fitting on data acquired at different soil depths at the same time in the historical period, and using the data as a reference line, namely the second change information. And when the corresponding difference value between the first change information and the second change information exceeds a certain threshold value or the first change information and the second change information change periodically and regularly, the system prompts farmers to adjust the soil state, improve the change condition of the physical condition of the soil, add organic fertilizers, plough and the like in time to improve the soil state.
Fig. 6 is a schematic structural diagram of an apparatus according to an embodiment of the present invention. As shown in fig. 6, the apparatus 600 specifically includes 610 and 630, which are specifically shown as follows:
the monitoring module 610 is configured to obtain a plurality of first physical parameter values obtained by a plurality of soil collection points collected by a soil physical parameter sensor within a first time period; the plurality of soil collection points are soil collection points of the same target soil.
The monitoring module 610 is further configured to use a plurality of soil collection points with the same depth or a plurality of soil collection points with different depths.
A calculating module 620, configured to determine first variation information of the plurality of first physical parameter values in the first time period.
The calculation module 620 is further configured to determine first variation information of the plurality of first physical parameter values in the first time period, including: determining first physical characteristic parameter values corresponding to the plurality of first physical parameter values respectively; first variation information is determined based on the plurality of first physical characteristic parameter values.
And the detecting module 630 is configured to generate a prompt message when the first change information meets a preset condition, where the prompt message is used to prompt a farmer to adjust the physical condition of the soil.
The detecting module 630 is further configured to determine an absolute value of fluctuation of the first change information with respect to preset second change information, where the preset second change information is change information of a plurality of second physical parameter values in a second time period, which is determined according to a plurality of second physical parameter values obtained by collecting a plurality of soil collecting points in the second time period; when the absolute value of the fluctuation satisfies a preset threshold, it is determined that the first change information satisfies a preset condition.
The detecting module 630 is further configured to determine second physical characteristic parameter values corresponding to the plurality of second physical parameter values, respectively; and determining second variation information according to the plurality of second physical characteristic parameter values.
The first and second physical parameter values include temperature and humidity, respectively.
The first physical characteristic parameter value and the second physical characteristic parameter value respectively comprise moisture equal-temperature diffusivity and moisture equal-temperature diffusivity.
Each unit of the device can implement the method shown in fig. 1 and achieve the corresponding technical effect, and for brevity, the description is omitted here.
Fig. 7 is a schematic diagram of a hardware structure of a soil monitoring method according to an embodiment of the present invention.
The processing device may include a processor 701 and a memory 702 storing computer program instructions.
Specifically, the processor 701 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present invention.
Memory 702 may include a mass storage for data or instructions. By way of example, and not limitation, memory 702 may include a Hard Disk Drive (HDD), a floppy Disk Drive, flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 702 may include removable or non-removable (or fixed) media, where appropriate. The memory 702 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 702 is non-volatile solid-state memory. In a particular embodiment, the memory 702 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The processor 701 may implement any one of the processing methods shown in fig. 1 and 6 described above by reading and executing computer program instructions stored in the memory 702.
In one example, the processing device may also include a communication interface 703 and a bus 710. As shown in fig. 7, the processor 701, the memory 702, and the communication interface 703 are connected by a bus 710 to complete mutual communication.
The communication interface 703 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present invention.
Bus 710 includes hardware, software, or both to couple the components of the soil monitoring device to one another. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 710 may include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention.
The processing device may perform the soil monitoring method in the embodiments of the present invention, thereby implementing the soil monitoring method and apparatus described in conjunction with fig. 1 and 6.
In addition, in combination with the soil monitoring method in the above embodiments, the embodiments of the present invention may be implemented by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any of the soil monitoring methods of the above embodiments.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams can be implemented in software, and the elements of the present invention are programs or code segments used to perform desired tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.

Claims (10)

1. A soil monitoring method, comprising:
acquiring a plurality of first physical parameter values acquired by a plurality of soil acquisition points acquired by a soil physical parameter sensor in a first time period; the plurality of soil collection points are soil collection points of the same target soil;
determining first change information of the plurality of first physical parameter values in the first time period;
and when the first change information meets a preset condition, generating prompt information, wherein the prompt information is used for prompting a farmer to adjust the physical condition of the soil.
2. The method of claim 1, wherein the first variation information satisfies a preset condition, and comprises:
determining an absolute value of fluctuation of the first change information relative to preset second change information, wherein the preset second change information is change information of a plurality of second physical parameter values determined in a second time period according to the plurality of second physical parameter values obtained by collecting the plurality of soil collecting points in the second time period;
and when the absolute value of the fluctuation meets a preset threshold, determining that the first change information meets a preset condition.
3. The method of claim 1 or 2, wherein the plurality of soil collection sites are a plurality of soil collection sites at the same depth, or the plurality of soil collection sites are a plurality of soil collection sites at different depths.
4. The method of claim 3, determining first change information for the plurality of first physical parameter values over the first time period, comprising:
determining first physical characteristic parameter values corresponding to the plurality of first physical parameter values respectively;
determining the first variation information according to a plurality of first physical characteristic parameter values.
5. The method of claim 3, determining the second variance information, comprising:
determining second physical characteristic parameter values corresponding to the plurality of second physical parameter values respectively;
and determining the second variation information according to a plurality of second physical characteristic parameter values.
6. The method of any of claims 1-5, the first and second physical parameter values comprising temperature and humidity, respectively.
7. The method according to any one of claims 1 to 5, wherein the first and second physical characteristic parameter values comprise moisture-like and moisture-isothermal diffusivity, respectively.
8. A soil monitoring device, comprising:
the monitoring module is used for acquiring a plurality of first physical parameter values acquired by a plurality of soil acquisition points acquired by the soil physical parameter sensor within a first time period; the plurality of soil collection points are soil collection points of the same target soil;
a calculation module, configured to determine first change information of the plurality of first physical parameter values in the first time period;
and the detection module is used for generating prompt information when the first change information meets a preset condition, wherein the prompt information is used for prompting a farmer to adjust the physical condition of the soil.
9. A computing device, the device comprising: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements a soil monitoring method as claimed in any one of claims 1-7.
10. A computer storage medium having computer program instructions stored thereon which, when executed by a processor, implement a soil monitoring method as claimed in any one of claims 1 to 7.
CN201911005160.4A 2019-10-22 2019-10-22 Soil monitoring method, device, equipment and storage medium Pending CN112697996A (en)

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