CN117178862B - Garden watering information acquisition and monitoring method - Google Patents
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Abstract
The invention discloses a garden watering information acquisition and monitoring method, which comprises the steps of constructing a plant growth information database and a garden environment database; carrying out standardized processing on the data of the environment database, calculating the standard score of each data point in the environment database, and ensuring that all the environment data have similar scales; fitting the environment data in the standardized database and the data in the growth information database to obtain a function model of the environment data and the growth information data; the data processing center performs initial irrigation operation on different plants according to the function model, and a measuring sensor arranged at the root of the plant after the irrigation operation is completed measures the humidity information of soil and sends measurement data to the data processing center; and the data processing center adjusts irrigation operation according to the humidity information of the soil. According to the invention, the database is used for fitting, so that accurate irrigation of the garden plants is realized, and the irrigation efficiency is greatly improved.
Description
Technical Field
The invention relates to the field of garden irrigation, in particular to a garden irrigation information acquisition and monitoring method, a garden irrigation information acquisition and monitoring system, computer equipment for realizing the garden irrigation information acquisition and monitoring method and a computer readable storage medium for realizing the garden irrigation information acquisition and monitoring method.
Background
Afforestation is a natural environment and a recreation field created by modifying terrains or further building mountains, overlapping stones, arranging water, planting trees, flowers and grass, building buildings, arranging garden ways and the like by using engineering technology and artistic means, and in order to ensure that greening plants can thrive, soil moisture required by the growth of garden plants needs to be regularly irrigated and supplemented. In general, gardens are usually provided with a large variety of different plants which, due to the different growth habits, require a large amount of irrigated water. In order to achieve a targeted irrigation of different plants, it is necessary to measure the environment of the campus. Most of the existing measurement modes are that park managers sample relevant environment data in relevant areas to obtain relevant garden environment data, a large amount of manpower and material resources are needed to collect the data, and long-time continuous measurement sampling is not available, so that the sampled data are intermittent, and the requirement of garden irrigation cannot be met. Meanwhile, since the park is usually large, a large number of sensors are needed, and even if the sensors are installed to automatically measure the change of the environment, it is difficult to transmit and sort information sent by a plurality of sensors. And the water quantity needed to irrigate is different for different plants due to different growth habits, and personalized and accurate regulation and control are needed according to the specific conditions of the environment where the plants are planted according to different planting positions so as to meet the needs of different plants.
Disclosure of Invention
The invention aims to provide a garden irrigation information acquisition and monitoring method, which aims to solve the problem that the number of sensors is large and the information sent by a plurality of sensors is difficult to transmit and arrange due to the fact that the number of the sensors is large; and the personalized and accurate irrigation can not be carried out according to the habit of the plants and the specific conditions of the environment.
The invention discloses a garden irrigation information acquisition and monitoring method, which is realized by the following technical scheme that: s100, obtaining plant types in a park, constructing a plant growth information database, selecting corresponding measuring sensors based on the growth environment requirements required by the measured plants, and deploying the selected corresponding measuring sensors according to the measurement requirements to form a measuring node cluster for measuring the park environment; s200, constructing an environment database according to information obtained by measurement of a measurement sensor, carrying out standardized processing on data of the environment database, calculating standard scores of each data point in the environment database, and ensuring that all environment data have similar scales; s300, fitting the environment data in the database after the standardized processing and the data in the growth information database to obtain a function model of the environment data and the growth information data; s400, the data processing center performs initial irrigation operation on different plants according to a function model of environment data and growth information data, a soil humidity sensor arranged at the root of the plant after the irrigation operation is completed measures the humidity information of soil, and the measured data are sent to the data processing center; s500, the data processing center adjusts irrigation operation according to the humidity information of the soil.
It should be noted that, generally speaking, the region in gardens is bigger, can include a large amount of different types of measuring sensor in the region, and various types of data volume is big, is difficult to carry out accurate watering to different plants according to the measuring data of different measuring sensor, and this application is through constructing the growth information database and the garden environment database of plant to fit the data of both, thereby realize carrying out accurate watering to different plants according to measuring data's difference.
Further, the measurement sensor may include a soil moisture sensor, a pH sensor, a light sensor, a salt sensor, a carbon dioxide sensor, and a temperature sensor.
It should be noted that, soil humidity sensor settles in the soil of plant root for measure the humidity of plant root soil, pH value sensor is used for measuring the pH value of soil, and salinity sensor is used for measuring the salinity of soil, and light sensor is used for measuring light intensity and judges whether be in daytime or night, and carbon dioxide sensor is used for measuring the content of carbon dioxide in the garden, and temperature sensor and air humidity sensor are used for measuring temperature and humidity in the garden.
Further, the measurement sensor can transmit the measurement signal to the data processing center in a wireless form.
Further, the step of sending the measurement signal to the data processing center in a wireless manner includes the following substeps that S110, deployment planning is performed on the wireless network nodes for wireless data transmission based on the positions of the measurement node clusters, deployment setting is performed on the wireless network nodes according to the deployment planning, an aggregation wireless network node is formed, and the measurement node clusters send the measurement data to the aggregation wireless network node based on the measurement data required to be transmitted by the measurement sensor and the transmission rate of the measurement node clusters; s120, the convergent wireless network node classifies and compresses the received measurement data to obtain compressed monitoring data; s130, the convergent wireless network node sends the compressed monitoring data to a data processing center based on a TCP/IP protocol; and S140, the data processing center decompresses the compressed measurement data and constructs an environment database according to the classification and sorting.
It should be noted that, since a large number of measurement sensors are needed in the campus to more accurately measure the environmental conditions in the campus, a large number of measurement sensors generate a lot of measurement data, and how to quickly and accurately transmit the measurement data to the data processing center to perform subsequent data processing and accurate irrigation.
Further, the normalization process may employ a Z-score normalization process to normalize the data in the environmental database, the Z-score normalization process comprising,
，
，
；
z is data output after standardization, and is dimensionless;xis data in an environment database, and has no dimension;μthe average value of the data in all the environment databases is dimensionless; sigma is the standard deviation of data in all environment databases, and is dimensionless;Mthe total number of the data set samples in the environment database is dimensionless;x i is the first in the environment databaseiThe data value of each sample is dimensionless.
It should be noted that, the environmental database contains a large amount of data of various measuring sensors, and due to the limitation of practical situations, various noise data are inevitably generated by the measuring sensors, and the noise data need to be removed. Fitting to the data in the growth information database if not processed may result in erroneous or direct failure to fit results. Therefore, the data in the environment database needs to be standardized, the Z-score standardized is widely applicable to data types, and the Z-score standardized has special advantages in processing data with different distributions and dimensions. The environment database has a large amount of data with different dimensions and different distributions, the influence of the dimensions can be eliminated by processing the environment database through Z-score standardization, and meanwhile, the relative position and the deviation degree of each data point can be judged by comparing the Z-score values of the data points, so that abnormal and noise data can be identified and removed. The Z-score normalization is simply a linear transformation of the raw data, preserving the distribution characteristics of the measured data. This has an important role for subsequent fitting.
The invention further provides a garden irrigation information acquisition monitoring system which comprises a database construction unit, a standardized processing unit, a data fitting unit and an irrigation control unit.
The database construction unit is configured to acquire plant types in a park, construct a plant growth information database, select corresponding measurement sensors based on growth environment requirements required by the measured plants, deploy the selected corresponding measurement sensors according to the measurement requirements, form a measurement node cluster for measuring the park environment, and construct an environment database according to information measured by the measurement sensors.
The standardized processing unit is connected with the historical database construction unit and is configured to perform standardized processing on data in the historical database of the grounding network, calculate standard scores of each data point in the historical database construction unit and ensure that all characteristic data have similar scales.
The standardized processing unit is connected with the database construction unit and is configured to perform standardized processing on the data of the environment database, calculate the standard score of each data point in the environment database and ensure that all the environment data have similar scales.
The data fitting unit is connected with the standardized processing unit and is configured to fit the environment data in the standardized database and the data in the growth information database to obtain a function model of the environment data and the growth information data.
The irrigation control unit is connected with the data fitting unit and is configured to perform initial irrigation operation on different plants according to a function model of environment data and growth information data, a soil humidity sensor arranged at the root of the plant after the irrigation operation is completed measures humidity information of soil, the measured data is sent to the database construction unit, and the irrigation operation is adjusted according to the humidity information of the soil.
In yet another aspect, the invention provides a computer device, the device may comprise: a processor; and the memory is used for storing a computer program, and when the computer program is executed by the processor, the garden watering information collecting and monitoring method is realized.
In a further aspect the invention provides a computer readable storage medium storing a computer program which when executed by a processor implements a method of monitoring information collection for garden watering as described above.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. according to the invention, the measuring sensor is divided into different measuring node clusters, so that the convergence and compression of the measured data are realized, the error and loss in the signal transmission process are further saved, and the accurate and rapid transmission of the measured data is realized.
2. According to the method, the plant growth information database and the environment database of the park are constructed, and the two databases are fitted, so that accurate irrigation of different plants in different areas of the park is realized, irrigation efficiency is greatly improved, and manpower is saved.
3. According to the invention, the standardized processing is carried out on the measured data in the park environment database, so that the problems that a large number of measured data of the measuring sensors are numerous, noise data are difficult to remove are solved, the standardized processed data can be conveniently fitted, and accurate irrigation according to the measured data and plant habit is more accurately realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention. In the drawings:
fig. 1 is a flowchart provided in an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Examples
Fig. 1 shows a flowchart of this embodiment, and this embodiment provides a garden watering information collecting and monitoring method.
Step 1: obtaining plant types in a park, constructing a plant growth information database, selecting corresponding measuring sensors based on the growth environment requirements required by the measured plants, and deploying the selected corresponding measuring sensors according to the measurement requirements to form a measuring node cluster for measuring the park environment.
Specifically, the measurement sensor may include a soil moisture sensor, a pH sensor, a light sensor, a salt sensor, a carbon dioxide sensor, and a temperature sensor. The measurement sensor can transmit the measurement signal to the data processing center in a wireless form.
It should be noted that, soil humidity sensor settles in the soil of plant root for measure the humidity of plant root soil, pH value sensor is used for measuring the pH value of soil, and salinity sensor is used for measuring the salinity of soil, and light sensor is used for measuring light intensity and judges whether be in daytime or night, and carbon dioxide sensor is used for measuring the content of carbon dioxide in the garden, and temperature sensor and humidity sensor are used for measuring temperature and humidity in the garden. By installing these measuring sensors at different locations within the garden area, the environmental conditions of the garden can be controlled more accurately. However, a large number of different kinds of measuring sensors installed in different areas also presents a new challenge for transmitting the measured data, and if a conventional wired transmission method is adopted, the connection wiring of the large number of different kinds of sensors in different areas is a complicated matter, so that in order to solve the wiring problem, the embodiment adopts a wireless transmission method to transmit the measured information of the sensors. The sensor park workers can be installed according to actual conditions.
Specifically, the wireless transmission of the measurement signals to the data processing center comprises the following sub-steps:
sub-step 1: and performing deployment planning on the wireless network nodes for wireless data transmission based on the positions of the measurement node clusters, performing deployment setting on the wireless network nodes according to the deployment planning to form an aggregation wireless network node, and sending the measurement data to the aggregation wireless network node by the measurement node clusters based on the measurement data required to be transmitted by the measurement sensor and the transmission rate of the measurement sensor.
Sub-step 2: and the convergent wireless network node classifies and compresses the received measurement data to obtain compressed monitoring data.
Sub-step 3: and the converged wireless network node sends the compressed monitoring data to a data processing center based on a TCP/IP protocol.
Sub-step 4: and the data processing center decompresses the compressed measurement data and constructs an environment database according to the classification and sequencing.
It should be noted that the transmission of measurement information of a wide range of different kinds of sensors is a problem that needs to be considered particularly for wireless transmission. According to the embodiment, a large number of measurement sensors are divided into different measurement node clusters, and the aim of rapid deployment is achieved by carrying out deployment planning on the wireless network nodes. Meanwhile, the measurement data is classified and compressed, so that the data volume can be effectively reduced, the transmission bandwidth can be saved, and the transmission speed can be improved.
Step 2: and constructing an environment database according to the information measured by the measuring sensor, carrying out standardization processing on the data of the environment database, calculating the standard score of each data point in the environment database, and ensuring that all the environment data have similar scales.
In particular, the normalization process may employ a Z-score normalization process to normalize data in the environmental database, including,
，
，
；
z is data output after standardization, and is dimensionless;xis data in an environment database, and has no dimension;μthe average value of the data in all the environment databases is dimensionless; sigma is the standard deviation of data in all environment databases, and is dimensionless;Mthe total number of the data set samples in the environment database is dimensionless;x i is the first in the environment databaseiThe data value of each sample is dimensionless.
It should be noted that, generally speaking, the garden area is larger, the number of required sensors is large, and this causes that the environmental database contains a large amount of data of various measuring sensors, meanwhile, due to the limitation of practical situations, various noise data are inevitably generated by the measuring sensors, and the same sensors in different areas can also have different data, so that the data need to be sorted before fitting, and noise data are removed, thereby facilitating the fitting better. Fitting to the data in the growth information database if not processed may result in erroneous or direct failure to fit results. Z-score standardization is applicable to a wide range of data types, and is particularly advantageous in processing data having different distributions and dimensions. The environment database has a large amount of data with different dimensions and different distributions, the influence of the dimensions can be eliminated by processing the environment database through Z-score standardization, and meanwhile, the relative position and the deviation degree of each data point can be judged by comparing the Z-score values of the data points, so that abnormal and noise data can be identified and removed. The Z-score normalization is simply a linear transformation of the raw data, preserving the distribution characteristics of the measured data. This has an important role for subsequent fitting.
Step 3: fitting the environment data in the standardized database and the data in the growth information database to obtain a function model of the environment data and the growth information data.
Specifically, a neural network may be used to fit the data to obtain a fitting function. The neural network is used as a common machine learning model, and has a hierarchical structure and parameterization capability of the neural network with good large-scale data processing capability so that the neural network can learn complex characteristic representation and fit on a large amount of data. And the neural network can automatically extract and learn the feature representation from the raw data without manually designing the features. Through multi-level abstraction, the neural network can capture high-level features in the data, so that data fitting is better performed.
Step 4: the data processing center performs initial irrigation operation on different plants according to a function model of environment data and growth information data, and a measuring sensor arranged at the root of the plant measures humidity information of soil after the irrigation operation is completed and sends the measuring data to the data processing center.
Step 5: and the data processing center adjusts irrigation operation according to the humidity information of the soil.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (5)
1. A garden irrigation information collecting and monitoring method is characterized in that the monitoring method comprises the following steps of,
s100, obtaining plant types in a park, constructing a plant growth information database, selecting corresponding measuring sensors based on the growth environment requirements required by the measured plants, and deploying the selected corresponding measuring sensors according to the measurement requirements to form a measuring node cluster for measuring the park environment;
s200, constructing an environment database according to information obtained by measurement of a measurement sensor, carrying out standardized processing on data of the environment database, calculating standard scores of each data point in the environment database, and ensuring that all environment data have similar scales;
s300, fitting the environment data in the environment database and the data in the growth information database after the standardized processing to obtain a function model of the environment data and the growth information data;
s400, the data processing center performs initial irrigation operation on different plants according to a function model of environment data and growth information data, a measuring sensor arranged at the root of the plant after the irrigation operation is completed measures the humidity information of soil, and the measuring data is sent to the data processing center;
s500, the data processing center adjusts irrigation operation according to the humidity information of the soil;
the measuring sensor comprises a soil humidity sensor, a pH value sensor, a light sensor, a salinity sensor, a carbon dioxide sensor, a temperature sensor and a humidity sensor;
the measuring sensor can send the measuring signal to the data processing center in a wireless mode;
transmitting the measurement signal to the data processing center in a wireless form comprises the sub-steps of:
s110, performing deployment planning on wireless network nodes for wireless data transmission based on the positions of the measurement node clusters, and performing deployment setting on the wireless network nodes according to the deployment planning to form converged wireless network nodes, wherein the measurement node clusters send measurement data to the converged wireless network nodes based on measurement data required to be transmitted by a measurement sensor and the transmission rate of the measurement sensor;
s120, the convergent wireless network node classifies and compresses the received measurement data to obtain compressed monitoring data;
s130, the convergent wireless network node sends the compressed monitoring data to a data processing center based on a TCP/IP protocol;
s140, the data processing center decompresses the compressed measurement data and constructs an environment database according to classification and sorting
The normalization process performs normalization processing on the data in the environment database by adopting Z-score normalization, wherein the Z-score normalization processing comprises,
，
，
；
z is data output after standardization, and is dimensionless;xis data in an environment database, and has no dimension;μthe average value of the data in all the environment databases is dimensionless; sigma is the standard deviation of data in all environment databases, and is dimensionless;Mthe total number of the data set samples in the environment database is dimensionless;x i is the first in the environment databaseiThe data value of each sample is dimensionless.
2. The utility model provides a gardens watering information acquisition monitored control system which characterized in that, watering information acquisition monitored control system includes:
the system comprises a database construction unit, a standardized processing unit, a data fitting unit and a watering control unit, wherein,
the database construction unit is configured to acquire plant types in a park, construct a plant growth information database, select corresponding measurement sensors based on the growth environment requirements required by the measured plants, deploy the selected corresponding measurement sensors according to the measurement requirements to form a measurement node cluster for measuring the park environment, and construct an environment database according to the information measured by the measurement sensors;
the database construction unit further comprises a measurement signal acquisition subunit, the measurement node subunit is configured to perform deployment planning on the wireless network nodes for wireless data transmission based on the positions of the measurement node clusters, perform deployment setting on the wireless network nodes according to the deployment planning to form an aggregation wireless network node, and the measurement node clusters send measurement data to the aggregation wireless network node based on measurement data required to be transmitted by the measurement sensor and the transmission rate of the measurement node clusters;
the standardized processing unit is connected with the database construction unit and is configured to perform standardized processing on the data of the environment database, calculate the standard score of each data point in the environment database and ensure that all the environment data have similar scales;
the data fitting unit is connected with the standardized processing unit and is configured to fit the environment data in the standardized database and the data in the growth information database to obtain a function model of the environment data and the growth information data;
the irrigation control unit is connected with the data fitting unit and is configured to perform initial irrigation operation on different plants according to a function model of environment data and growth information data, a soil humidity sensor arranged at the root of the plant after the irrigation operation is completed measures humidity information of soil, the measured data is sent to the database construction unit, and the irrigation operation is adjusted according to the humidity information of the soil.
3. The system for monitoring and collecting garden watering information according to claim 2, wherein the measuring signal collecting sub-unit further comprises a data processing sub-unit and a data transmission sub-unit, wherein,
the data processing subunit is connected with the measuring node subunit and is configured to aggregate the wireless network node to classify and compress the received measuring data to obtain compressed monitoring data;
the data transmission subunit is connected with the data processing subunit and is configured to transmit the compressed monitoring data to the data processing center by the convergent wireless network node based on the TCP/IP protocol.
4. A computer device, the computer device comprising:
a processor;
a memory storing a computer program which, when executed by a processor, implements a garden watering information collection monitoring method as claimed in claim 1.
5. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements a garden watering information collecting and monitoring method as claimed in claim 1.
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