CN115226612B - Intelligent distribution system for water resource allocation management - Google Patents
Intelligent distribution system for water resource allocation management Download PDFInfo
- Publication number
- CN115226612B CN115226612B CN202210836507.5A CN202210836507A CN115226612B CN 115226612 B CN115226612 B CN 115226612B CN 202210836507 A CN202210836507 A CN 202210836507A CN 115226612 B CN115226612 B CN 115226612B
- Authority
- CN
- China
- Prior art keywords
- water
- water distribution
- area
- irrigation
- crops
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 218
- 238000009826 distribution Methods 0.000 title claims abstract description 135
- 238000013468 resource allocation Methods 0.000 title claims abstract description 28
- 238000007726 management method Methods 0.000 title claims abstract description 19
- 238000003973 irrigation Methods 0.000 claims abstract description 67
- 230000002262 irrigation Effects 0.000 claims abstract description 67
- 230000007613 environmental effect Effects 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 64
- 238000011156 evaluation Methods 0.000 claims description 58
- 238000004458 analytical method Methods 0.000 claims description 18
- 238000000034 method Methods 0.000 claims description 13
- 238000007781 pre-processing Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000010354 integration Effects 0.000 claims description 5
- 238000005192 partition Methods 0.000 claims 1
- 230000002844 continuous effect Effects 0.000 abstract description 3
- 230000002159 abnormal effect Effects 0.000 description 14
- 238000012795 verification Methods 0.000 description 4
- 230000011218 segmentation Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 235000013619 trace mineral Nutrition 0.000 description 1
- 239000011573 trace mineral Substances 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/17—Terrestrial scenes taken from planes or by drones
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Water Supply & Treatment (AREA)
- Mining & Mineral Resources (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Environmental Sciences (AREA)
- Remote Sensing (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent distribution system for water resource allocation management; belonging to the technical field of water resource distribution; various data when irrigation equipment in an area is irrigated are preprocessed, so that the water demand of crops can be conveniently analyzed and evaluated from the aspect of irrigation, the water resource demand of different types of crops is different, after the water resources are irrigated, the continuous effect after the water resources are irrigated is evaluated according to the growth attribute and the environmental loss attribute of the crops, and the water resources can be supplemented timely and efficiently to ensure the growth demand of the crops; the invention solves the technical problem that the self-adaption adjustment and configuration of the demand state of the water resource in the region cannot be carried out timely and efficiently in the existing scheme.
Description
Technical Field
The invention relates to the technical field of water resource allocation, in particular to an intelligent allocation system for water resource allocation management.
Background
Water resources are water sources that can be utilized or are likely to be utilized, and which are of sufficient quantity and suitable quality to meet the specific utilization needs of a location over a period of time. Because the contradiction between water resource supply and demand is increasingly sharp, the influence on industrial and agricultural production is great.
When the existing water resource allocation management for agriculture is implemented, irrigation is carried out through manual observation and analysis, and automatic irrigation is also realized through various sensors or video monitoring, but the existing water resource allocation management for agriculture cannot combine historical irrigation data with historical weather data to evaluate the water requirement for crop growth, and water resources corresponding to the self-adaptive arrangement of the water requirement state are used for timely irrigation; meanwhile, the water demand state cannot be checked, so that the overall effect of water resource allocation management and distribution is poor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent distribution system for water resource allocation management, which is used for solving the technical problem that the self-adaption of the demand state of water resources in a region cannot be adjusted and allocated timely and efficiently in the existing scheme.
The purpose of the invention can be realized by the following technical scheme:
an intelligent distribution system for water resource allocation management comprises a regional water distribution module, a state monitoring module and a water resource distribution module;
the regional water distribution module is used for performing modular processing and numbering on all regions needing water distribution to obtain a regional division set;
the state monitoring module comprises a water distribution monitoring unit and an environment monitoring unit;
the water distribution monitoring unit is used for monitoring, counting and preprocessing the historical water distribution conditions of all divided areas to obtain a water distribution monitoring set, and simultaneously analyzing and evaluating various data in the water distribution monitoring set to obtain a water distribution evaluation set;
the environment monitoring unit is used for monitoring, counting and preprocessing all indexes of the growth environment where crops planted in all areas are located to obtain an environment monitoring set, and performing simultaneous integration and analysis and evaluation on all data in the environment monitoring set to obtain an environment evaluation set;
and the water resource distribution module is used for connecting the water distribution evaluation set with the environment evaluation set to analyze the whole water demand state of the corresponding region and adaptively adjusting the time of distributing water resource scheduling to the divided regions for irrigation.
Further, all areas requiring water distribution are modularly handled and numbered, including:
acquiring the area of crops planted in the area and the type of the crops;
matching the crop type with a pre-constructed crop type table to obtain a corresponding crop type weight;
numbering corresponding regions in sequence according to the areas of planted crops;
acquiring the middle points of the numbered regions, setting the middle points as original points, and establishing a two-dimensional coordinate system according to a preset coordinate direction and a preset coordinate distance;
acquiring coordinates and irrigation areas of all irrigation devices in all areas;
the area of each region and crop numbered, the crop type weight, the coordinates of the irrigation equipment and the irrigation area constitute a regional division set.
Further, monitoring, counting and preprocessing the historical water distribution conditions of all divided regions, comprising:
the unit irrigation quantity and the irrigation time of each irrigation device in each divided area are counted;
numerical values of unit irrigation amount and irrigation duration are respectively extracted and marked as JLi and JSi, i belongs to {1,2,3, a.
The unit irrigation volume and irrigation duration of each marked divided area form a water distribution monitoring set.
Further, the simultaneous analysis and evaluation of various data in the water distribution monitoring set comprises:
acquiring the area of crops planted in the area and the weight of the types of the crops, and marking the areas as ZMi and ZLi respectively;
acquiring unit watering amount JLi and watering duration JSi marked in the water distribution monitoring set, and calculating each marked data through a formula to acquire a watering coefficient JSX; the formula is:
in the formula, mu is the unit consumption of water resources during irrigation, A is the total number of irrigation equipment in the area, and YLi is the total rainwater amount in the unit area of the area;
matching the watering coefficient obtained by simultaneous calculation of various marked data with a preset watering range, and setting the minimum value and the maximum value of the watering range as JFmin and JFmax respectively;
if JSX is less than JFmin, judging that the water distribution in the region does not reach the standard and generating a first water distribution signal;
if JFmin is less than or equal to JSX and less than or equal to JFmax, judging that the water distribution in the region reaches the standard and generating a second water distribution signal;
if JSX is larger than JFmax, judging that water distribution in the region exceeds the standard and generating a third water distribution signal;
the first water distribution signal, the second water distribution signal and the third water distribution signal form a water distribution evaluation set.
Furthermore, various indexes of the growth environment where crops planted in all areas are located are monitored, counted and preprocessed, and the method comprises the following steps:
acquiring a temperature index and a wind index in a growth environment where crops in a region are located, wherein the temperature index comprises a real-time temperature and a corresponding duration, and the wind index comprises a real-time wind speed and a corresponding duration;
setting the real-time temperature corresponding to the standard temperature greater than the preset temperature as a selected temperature XWi, and setting the duration corresponding to the selected temperature as a first target duration YSi;
setting the real-time wind speed corresponding to the standard wind speed larger than the preset wind speed as a selected wind speed XSi, and setting the duration corresponding to the selected wind speed as a second target duration ESi;
the selected temperature XWi, the first target duration YSi, the selected wind speed XSi, and the second target duration ESi of each of the marked divided regions constitute an environmental monitoring set.
Further, the simultaneous integration and analysis and evaluation of various data in the environmental monitoring set include:
obtaining a selected temperature XWi, a first target time length YSi, a selected wind speed XSi and a second target time length ESi in an area corresponding to an environment monitoring set, and calculating all marked data to obtain a weather coefficient HJX through a formula; the formula is:
in the formula, a1 and a2 are different proportionality coefficients and are both larger than zero, XW0 is a preset standard temperature, and XS0 is a preset standard wind speed;
and matching the weather coefficient obtained by simultaneous calculation of all marked data with a preset weather threshold value to obtain an environment evaluation set.
Further, matching the weather coefficient obtained by simultaneous calculation of each item of marked data with a preset weather threshold value, including:
if the weather coefficient is smaller than the weather threshold value, judging that the growth environment state of the crops planted in the area is normal and generating a positive signal;
if the weather coefficient is not less than the weather threshold and not more than k% of the weather threshold, and k is a real number more than one hundred, judging that the growth environment state of crops planted in the area is slightly abnormal and generating a ring light signal, and setting the corresponding area as a first selected area according to the ring light signal;
if the weather coefficient is larger than k% of the weather threshold, judging that the growing environment state of crops planted in the area is moderate and abnormal, generating an in-loop signal, and setting the corresponding area as a second selected area according to the in-loop signal;
a number of ring positive signals, ring light signals and the first selected region, ring signals and the second selected region constitute an environment evaluation set.
Further, the water distribution evaluation set and the environment evaluation set are combined to analyze the overall water demand state of the corresponding area, and the method comprises the following steps:
acquiring a water distribution evaluation set and an environment evaluation set and analyzing;
and if the water distribution evaluation set does not contain the third water distribution signal and the environment evaluation set does not contain the ring positive signal, judging that the crops planted in the region need to be subjected to water resource distribution, checking the water demand state of the crops planted in the region, and adaptively and dynamically adjusting the distribution time corresponding to the water distribution demand state.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, various data during irrigation of irrigation equipment in the region are preprocessed, so that the water demand of crops can be conveniently analyzed and evaluated from the aspect of irrigation, the water resource demand of different types of crops is different, after the water resource is irrigated by the different types of crops, the continuous effect after the water resource is irrigated is evaluated according to the growth attribute and the environmental loss attribute of the crops, and the water resource can be timely and efficiently supplemented to ensure the growth demand of the crops; by integrally evaluating the water resource conditions acquired in the region according to the irrigation aspect and the rainwater aspect, effective data support can be provided for subsequent water resource allocation and scheduling.
The method and the device have the advantages that the collected real-time temperature and the collected real-time wind speed are matched and screened to obtain the temperature and the wind speed which affect the water resource loss of the crops, the influence of the growth of the crops is analyzed and evaluated by combining various data in the aspect of weather, the influence of the growth of the crops in the aspect of weather can be timely obtained, the analysis result in the aspect of weather and the analysis result of early-stage sample water distribution can be integrated, and the final water resource configuration and distribution can be implemented.
The invention monitors and checks the condition of needing water resource allocation from the aspect of images, judges the water shortage degree of the crops of the corresponding type and can provide support for the water resource scheduling and allocation time in the abnormal state.
Drawings
FIG. 1 is a block diagram of an intelligent allocation system for water resource allocation management according to the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by persons skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used herein is for the purpose of describing embodiments and is not intended to be limiting and/or limiting of the present disclosure; it should be noted that the singular forms "a," "an," and "the" include the plural forms as well, unless the context clearly indicates otherwise; also, although the terms first, second, etc. may be used herein to describe various elements, the elements are not limited by these terms, which are only used to distinguish one element from another.
Referring to fig. 1, a schematic block diagram of an intelligent allocation system for water resource allocation management according to an embodiment of the present invention is shown.
Example one
An intelligent distribution system for water resource allocation management comprises a regional water distribution module, a state monitoring module and a water resource distribution module;
the regional water distribution module is used for performing modular processing and numbering on all regions needing water distribution to obtain a regional division set; the method comprises the following steps:
acquiring the area of crops planted in the area and the type of the crops;
matching the crop type with a pre-constructed crop type table to obtain a corresponding crop type weight;
the crop type table is composed of a plurality of different crop types and corresponding crop type weights, the corresponding crop type weights are preset for the different crop types, and specific numerical values of the crop type weights are set based on big data of the existing crop type planting and growing; the crop type table is constructed, so that the digital representation of different types of crops can be realized, and the diversified monitoring of the crops can be realized;
the application scenario in the embodiment of the invention can be the intelligent allocation of water resource allocation during the planting of different types of crops, and is open-type scale planting instead of greenhouse planting, because the influence of rainwater on the water resource allocation is considered in the embodiment of the invention, the irrigation needs to be performed through manual observation and analysis in the existing scheme, the irrigation needs to be performed automatically through various sensors or video monitoring, the water demand and the corresponding degree of the different types of crops cannot be efficiently and timely found, and the water resources are adaptively and dynamically scheduled to perform corresponding allocation; the embodiment of the invention can solve the problem that the time for allocating and allocating water resource cannot be dynamically adjusted in time and efficiently to meet different water demand states in the existing scheme.
Numbering corresponding regions in sequence according to the areas of planted crops;
acquiring the middle points of the numbered regions, setting the middle points as original points, and establishing a two-dimensional coordinate system according to a preset coordinate direction and a preset coordinate distance; setting the specific coordinate direction and the coordinate distance according to actual needs;
the purpose of establishing a two-dimensional coordinate system for a plurality of areas is to position and monitor a plurality of irrigation devices which are convenient to arrange, so that irrigation conditions in the areas can be efficiently and accurately counted;
acquiring coordinates and irrigation areas of all irrigation devices in all areas;
the area of each region and crop numbered, the crop type weight, the coordinates of the irrigation equipment and the irrigation area constitute a regional division set.
According to the embodiment of the invention, by collecting data of all aspects of the regions and irrigation equipment, effective data support can be provided for scheduling and allocating water resources of different subsequent regions.
The state monitoring module comprises a water distribution monitoring unit and an environment monitoring unit;
the water distribution monitoring unit is used for monitoring, counting and preprocessing the historical water distribution conditions of all divided areas to obtain a water distribution monitoring set; the method comprises the following steps:
the unit irrigation quantity and the irrigation time of each irrigation device in each divided area are counted; the irrigation equipment can be the existing agricultural sprinkling irrigation equipment, and the sprinkling irrigation area can be circular;
numerical values of unit irrigation amount and irrigation duration are respectively extracted and marked as JLi and JSi, i belongs to {1,2,3, a. The irrigation time can be measured in minutes;
the unit irrigation volume and irrigation duration of each marked divided area form a water distribution monitoring set.
In the embodiment of the invention, various data when irrigation equipment in the region irrigates are preprocessed, so that the water demand of crops can be conveniently analyzed and evaluated from the irrigation aspect, and the water resource demand of different types of crops is different, therefore, after the water resource is irrigated to the different types of crops, the continuous effect after the water resource is irrigated is evaluated according to the growth attribute and the environmental loss attribute of the crops, and the water resource can be supplemented timely and efficiently to ensure the growth demand of the crops.
Performing simultaneous analysis and evaluation on various data in the water distribution monitoring set to obtain a water distribution evaluation set; the method comprises the following steps:
acquiring the area of crops planted in the area and the weight of the types of the crops, and respectively marking the areas as ZMi and ZLi; the area of the crops can be square meters;
acquiring unit watering amount JLi and watering duration JSi marked in the water distribution monitoring set, and calculating each marked data through a formula to acquire a watering coefficient JSX; the formula is:
in the formula, mu is the unit consumption of water resources during irrigation, and can be obtained based on the big data of the operation of the existing irrigation equipment, A is the total number of the irrigation equipment in the area, YLi is the total amount of rainwater in the unit area of the area, and the unit area is square meters; the crop type weight in the formula plays a role in classification and differentiation, and the total rainwater amount can be obtained through statistics of equipment which is arranged in the region and used for monitoring the rainwater amount;
it should be noted that the watering coefficient is a numerical value for overall evaluation of the water resource conditions received by crops in each area; by integrally evaluating the water resource conditions acquired in the region in terms of irrigation and rainwater, effective data support can be provided for the time of subsequent water resource allocation scheduling.
Matching the watering coefficient obtained by simultaneous calculation of various marked data with a preset watering range, and setting the minimum value and the maximum value of the watering range as JFmin and JFmax respectively;
if JSX is less than JFmin, judging that the water distribution in the region does not reach the standard and generating a first water distribution signal;
if JFmin is less than or equal to JSX and less than or equal to JFmax, judging that the water distribution in the region reaches the standard and generating a second water distribution signal;
if the JSX is larger than JFmax, judging that the water distribution in the region exceeds the standard and generating a third water distribution signal;
the first water distribution signal, the second water distribution signal and the third water distribution signal form a water distribution evaluation set.
In the embodiment of the invention, the watering range can be set based on the existing watering amount, the historical water resource condition in the area can be obtained through the watering coefficient and set as sample data to provide support for the automatic configuration and distribution time of the next water resource, for example, under the condition that the influence of weather is not considered, the water resource needs to be scheduled in advance to configure the watering under the condition that the water distribution does not reach the standard; when water distribution exceeds standard, water resource scheduling needs to be prolonged to carry out allocation irrigation, wherein the advancing and the prolonging are carried out relative to the corresponding time for scheduling the water resource when the water distribution reaches the standard, and the advancing and the prolonging are considered according to the day.
In addition, when the influence of weather is considered, the corresponding water resource scheduling needs to be adjusted synchronously, for example, if the weather is always at a high temperature, the water resource needs to be scheduled in advance to be configured for irrigation, and therefore, in the process of scheduling the water resource, monitoring and analysis on the weather aspect are needed.
The environment monitoring unit is used for monitoring, counting and preprocessing all indexes of the growth environment where crops planted in all areas are located to obtain an environment monitoring set; the method comprises the following steps:
acquiring a temperature index and a wind index in a growth environment where crops in a region are located, wherein the temperature index comprises a real-time temperature and a corresponding duration, and the wind index comprises a real-time wind speed and a corresponding duration;
it should be noted that temperature and wind are the main factors affecting the water resource loss in crops in the environment, and therefore the embodiment of the present invention mainly monitors from these two aspects.
Setting the real-time temperature corresponding to the standard temperature greater than the preset temperature as a selected temperature XWi, and setting the duration corresponding to the selected temperature as a first target duration YSi;
setting the real-time wind speed corresponding to the standard wind speed larger than the preset wind speed as a selected wind speed XSi, and setting the duration corresponding to the selected wind speed as a second target duration ESi; the unit of the first target time length and the unit of the second target time length can be minutes;
the selected temperature XWi, the first target duration YSi, the selected wind speed XSi, and the second target duration ESi for each marked divided region comprise an environmental monitoring set.
In the embodiment of the invention, the collected real-time temperature and real-time wind speed are matched and screened to obtain the temperature and the wind speed which influence the water resource loss of the crops, the duration of the temperature and the wind speed is counted to analyze and evaluate the influence on the growth of the crops in the aspect of weather, and the accuracy of the allocation and the distribution of the water resource of the crops can be effectively improved by combining the earlier-stage water distribution data with the weather data.
Performing simultaneous integration and analysis evaluation on all data in the environment monitoring set to obtain an environment evaluation set; the method comprises the following steps:
obtaining a selected temperature XWi, a first target time length YSi, a selected wind speed XSi and a second target time length ESi in an area corresponding to an environment monitoring set, and calculating all marked data to obtain a weather coefficient HJX through a formula; the formula is:
in the formula, a1 and a2 are different proportionality coefficients and are both larger than zero, XW0 is a preset standard temperature, and XS0 is a preset standard wind speed;
it should be noted that the weather coefficient is a numerical value for integrally evaluating the influence of the growth of crops in the area by combining the temperature and the wind power in the environment; the standard temperature and the standard wind speed preset in the formula can be set based on the big data of the existing crop planting environment;
in the embodiment of the invention, when the preset standard temperature and the preset standard wind speed are exceeded, the real-time temperature, the real-time wind speed and the corresponding duration are counted to integrally evaluate the influence of the weather on the growth of crops in the area so as to timely adjust the allocation and the distribution of water resources in the area;
in addition, the standard temperature in the embodiment of the invention only aims at the high-temperature influence, and the low-temperature influence is not involved.
Matching the weather coefficient obtained by simultaneous calculation of all marked data with a preset weather threshold value:
if the weather coefficient is smaller than the weather threshold value, judging that the growth environment state of the crops planted in the area is normal and generating a positive signal;
if the weather coefficient is not less than the weather threshold and not more than k% of the weather threshold, k is a real number more than one hundred, and can be taken as 150, judging that the growth environment state of crops planted in the area is slightly abnormal and generating a ring light signal, and setting the corresponding area as a first selected area according to the ring light signal;
if the weather coefficient is larger than k% of the weather threshold, judging that the growing environment state of crops planted in the area is moderate and abnormal, generating an in-loop signal, and setting the corresponding area as a second selected area according to the in-loop signal;
and the ring positive signals, the ring light signals and the first selected region, and the ring signals and the second selected region form an environment evaluation set.
In the embodiment of the invention, the weather threshold value can be set based on the standard weather for crop growth, the standard weather can include standard temperature and standard wind speed, the influence on the crop growth is analyzed and evaluated by combining various data in the weather aspect, the influence on the crop growth in the weather aspect can be timely obtained, the analysis result in the weather aspect and the analysis result of the early-stage sample water distribution can be integrated to implement the final water resource configuration and distribution time, and the method is different from the scheme of scheduling and distributing water resources by manpower observation or monitoring and analysis through a sensor in the existing scheme.
The water resource distribution module is used for analyzing the whole water demand state of the corresponding region by connecting the water distribution evaluation set and the environment evaluation set, and adaptively adjusting the time of water resource scheduling and distributing to the divided regions for irrigation, and comprises:
acquiring a water distribution evaluation set and an environment evaluation set and analyzing; the priorities of a plurality of signals in the environment evaluation set are greater than the priorities of a plurality of signals in the water distribution evaluation set;
and if the water distribution evaluation set does not contain the third water distribution signal and the environment evaluation set does not contain the ring positive signal, judging that the crops planted in the region need to be subjected to water resource distribution, checking the water demand state of the crops planted in the region, and adaptively and dynamically adjusting the distribution time corresponding to the water distribution demand state.
In the embodiment of the invention, nine conditions exist when the water distribution evaluation and the environment evaluation set are analyzed, the nine conditions are respectively preset with corresponding allocation time, and the specific numerical value of the time can be obtained by establishing a model through an algorithm and training based on the area of the region and the quantity of planted crops;
when the environment evaluation set comprises the ring signal and the water distribution evaluation set comprises the first water distribution signal, the demand of configuration distribution of corresponding water resources is most urgent, and the time of the corresponding configuration distribution is more advanced;
in addition, when the in-loop signal is included in the environment evaluation set and the second water distribution signal is included in the water distribution evaluation set, the demand for configuration allocation of water resources including the first water distribution signal is more urgent than when the ring light signal is included in the environment evaluation set and the water distribution evaluation set; the detailed states in other cases are not described in detail;
when the abnormal water requirement state is monitored and analyzed, water resource allocation and distribution are immediately carried out, nine conditions obtained through analysis can be generated when the water resource is short, and when the water resource is abundant, corresponding water quantity scheduling and distribution are carried out;
it should be noted that, in order to improve the accuracy of allocation and allocation of water resources, the monitoring analysis performed from the sample water distribution aspect and the weather aspect is based on the data layer, and the actual abnormal state cannot be verified intuitively, so that the visual abnormal state of the crop needs to be further verified, and the corresponding scheduling and allocation of the water resources in the abnormal state need to be performed.
Example two
On the basis of the first embodiment of the invention, the state monitoring module further comprises a growth monitoring unit;
the growth monitoring unit is used for shooting the growth conditions of crops planted in all the divided regions to obtain a growth monitoring set, processing and extracting characteristics of a plurality of images in the growth monitoring set to obtain an image processing set, and analyzing the image processing set to evaluate the growth state of the crops to obtain a growth evaluation set; verifying the water demand state of crops planted in the area through a growth evaluation set, and adaptively and dynamically adjusting the allocation time corresponding to the allocated water demand state;
wherein, a plurality of images in the growth monitoring set are processed and feature extracted, including:
the method comprises the steps of obtaining an overlook shot image in an area, achieving through unmanned aerial vehicle shooting, and conducting Gaussian filtering, image denoising and image enhancement on the image to obtain a processed image;
equally dividing the processed image according to a preset dividing proportion to obtain a plurality of divided images;
respectively extracting the characteristics of crops in the plurality of segmentation images to obtain a plurality of image characteristic sets;
acquiring pixel values corresponding to the characteristics of crops in a plurality of image characteristic sets, respectively matching the pixel values with a pre-stored sample pixel table, setting the pixel values with the same numerical value as the sample pixel table as selected pixel values and marking as XSi; setting the pixel value of the non-selected pixel value as a reference pixel value;
the purpose of matching the pixel values with the sample pixel table is to screen out abnormal pixel values, the abnormal pixel values can be pixel values corresponding to yellow with different degrees, and the yellow with different degrees represents the water resource demand degree corresponding to crops;
and the plurality of segmented images, the image feature set, the selected pixel value and the reference pixel value form an image processing set.
In the embodiment of the invention, the condition that water resource allocation is needed is monitored and checked from the aspect of images, and the water shortage degree of the crops of the corresponding type is judged, so that the scheduling and allocation time of the water resource in the abnormal state is supported.
In addition, the image processing set is analyzed to evaluate the growth state of the crop, and the method comprises the following steps:
combining a plurality of selected pixel values marked in each segmented image with all the remaining reference pixel values, and calculating by a formula to obtain a pixel coefficient XSX of the segmented image; the formula is:
in the formula, XS0 is the sum of all the reference pixel values in the segmentation image;
analyzing the pixel coefficients corresponding to all the segmentation images to check the growth condition of crops in the region;
if the pixel coefficient corresponding to the segmented image is larger than the pixel threshold value, the total number is larger than q, and q is a positive integer, judging that crops in the region are in a medium water demand state and generating a first verification signal;
if the pixel coefficient is larger than the pixel threshold value but the total number is not larger than q, judging that crops in the area are in a light water demand state and generating a second verification signal;
if the pixel coefficients corresponding to all the segmented images are not larger than the pixel threshold value, judging that the water demand state of crops in the region is normal and generating a third verification signal;
the first check signal, the second check signal and the third check signal form a growth evaluation set;
in the embodiment of the invention, the abnormal state of the region is verified from the visual aspect corresponding to the image, so that the requirements of water resources corresponding to different abnormal states are verified and prompted, and the speed of water resource allocation is increased; in addition, the abnormity in the image not only indicates water resource shortage, but also can cause other abnormity, such as lack of related trace elements, so that people can be prompted to check through different verification signals, and the overall effect of crop growth monitoring is improved.
The various types of modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software type module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Claims (7)
1. An intelligent distribution system for water resource allocation management is characterized by comprising a regional water distribution module, a state monitoring module and a water resource distribution module;
the regional water distribution module is used for performing modular processing and numbering on all regions needing water distribution to obtain a regional division set;
the state monitoring module is used for monitoring, counting and preprocessing the historical water distribution conditions of all the divided regions to obtain a water distribution monitoring set, and performing simultaneous analysis and evaluation on various data in the water distribution monitoring set to obtain a water distribution evaluation set; the method comprises the following steps:
acquiring the area of crops planted in the area and the weight of the types of the crops, and marking the areas as ZMi and ZLi respectively;
acquiring unit watering amount JLi and watering duration JSi marked in the water distribution monitoring set, and calculating each marked data through a formula to acquire a watering coefficient JSX; the formula is:
in combination with>The unit consumption of water resources during irrigation, A is the total number of irrigation equipment in the area, and YLi is the total rainwater amount in the unit area of the area; matching the watering coefficient with a preset watering range;
setting the minimum value and the maximum value of the watering range as JFmin and JFmax respectively;
if JSX is less than JFmin, judging that the water distribution in the region does not reach the standard and generating a first water distribution signal;
if JFmin is less than or equal to JSX and less than or equal to JFmax, judging that the water distribution in the region reaches the standard and generating a second water distribution signal;
if the JSX is larger than JFmax, judging that the water distribution in the region exceeds the standard and generating a third water distribution signal;
the first water distribution signal, the second water distribution signal and the third water distribution signal form a water distribution evaluation set;
monitoring, counting and preprocessing all indexes of growth environments in which crops planted in all areas are located to obtain an environment monitoring set, and performing simultaneous integration, analysis and evaluation on all data in the environment monitoring set to obtain an environment evaluation set;
the water resource distribution module is used for analyzing the whole water demand state of the corresponding region by combining the water distribution evaluation set and the environment evaluation set, and adaptively adjusting the time of water resource scheduling and distribution to the divided regions for irrigation.
2. The intelligent distribution system for water resource allocation management of claim 1, wherein modular treatment and numbering of all areas requiring water distribution comprises:
acquiring the area of crops planted in the area, the types of the crops and the corresponding weight of the types of the crops;
numbering corresponding regions in sequence according to the areas of planted crops; acquiring the middle points of the numbered regions, and establishing a two-dimensional coordinate system according to the preset coordinate direction and the preset coordinate distance;
acquiring coordinates and irrigation areas of all irrigation devices in all areas;
the areas of the numbered zones and the area of the crop, the crop type weight, the coordinates of the irrigation equipment and the irrigation area constitute a zone partition set.
3. The intelligent distribution system for water resource allocation management according to claim 1, wherein the monitoring, statistics and preprocessing of historical water distribution conditions of all divided regions comprises:
the unit irrigation quantity and the irrigation time of each irrigation device in each divided area are counted;
respectively extracting numerical values of unit irrigation quantity and irrigation time length, and marking the numerical values as JLi and JSi, wherein i belongs to {1,2,3., n }, and n is a positive integer;
the unit irrigation quantity and irrigation time of each marked divided area form a water distribution monitoring set.
4. The intelligent distribution system for water resource allocation management according to claim 1, wherein the monitoring, statistics and preprocessing of the indicators of the growing environment in which the crops planted in all regions are located comprises: acquiring a temperature index and a wind index in a growth environment where crops in a region are located, wherein the temperature index comprises a real-time temperature and a corresponding duration, and the wind index comprises a real-time wind speed and a corresponding duration;
setting the real-time temperature which is greater than the preset standard temperature as a selected temperature XWi, and setting the duration time which corresponds to the selected temperature as a first target duration YSi;
setting the real-time wind speed corresponding to the standard wind speed larger than the preset wind speed as a selected wind speed XSi, and setting the duration corresponding to the selected wind speed as a second target duration ESi;
the selected temperature XWi, the first target duration YSi, the selected wind speed XSi, and the second target duration ESi for each marked divided region comprise an environmental monitoring set.
5. The intelligent distribution system for water resource allocation management according to claim 4, wherein the simultaneous integration and analysis and evaluation of the various data in the environmental monitoring set comprises:
obtaining a selected temperature XWi, a first target time length YSi, a selected wind speed XSi and a second target time length ESi in an area corresponding to an environment monitoring set, and calculating all marked data to obtain a weather coefficient HJX through a formula; the formula is:
in the formula, a1 and a2 are different proportionality coefficients and are both larger than zero, XW0 is a preset standard temperature, and XS0 is a preset standard wind speed;
and matching the weather coefficient obtained by simultaneous calculation of all marked data with a preset weather threshold value to obtain an environment evaluation set.
6. The intelligent distribution system for water resource allocation management according to claim 5, wherein if the weather coefficient is less than the weather threshold, a ring positive signal is generated; if the weather coefficient is not less than the weather threshold and not greater than k% of the weather threshold, and k is a real number greater than one hundred, generating a ring light signal and setting a corresponding area as a first selected area; if the weather coefficient is larger than k% of the weather threshold value, generating an in-loop signal and setting a corresponding area as a second selected area;
a number of ring positive signals, ring light signals and the first selected region, ring signals and the second selected region constitute an environment evaluation set.
7. The intelligent distribution system for water resource allocation management according to claim 6, wherein analyzing the water demand status of the corresponding region as a whole by combining the water distribution evaluation set and the environment evaluation set comprises: acquiring a water distribution evaluation set and an environment evaluation set and analyzing; and if the water distribution evaluation set does not contain the third water distribution signal and the environment evaluation set does not contain the ring positive signal, judging that the crops planted in the region need to be subjected to water resource distribution, checking the water demand state of the crops planted in the region, and adaptively and dynamically adjusting the distribution time corresponding to the water distribution demand state.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210836507.5A CN115226612B (en) | 2022-07-15 | 2022-07-15 | Intelligent distribution system for water resource allocation management |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210836507.5A CN115226612B (en) | 2022-07-15 | 2022-07-15 | Intelligent distribution system for water resource allocation management |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115226612A CN115226612A (en) | 2022-10-25 |
CN115226612B true CN115226612B (en) | 2023-04-07 |
Family
ID=83672990
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210836507.5A Active CN115226612B (en) | 2022-07-15 | 2022-07-15 | Intelligent distribution system for water resource allocation management |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115226612B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115423384B (en) * | 2022-11-03 | 2023-03-28 | 湖南易净环保科技有限公司 | Distributed sewage collection and cyclic utilization system and method based on artificial intelligence |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111369093B (en) * | 2018-12-26 | 2023-09-29 | 天云融创数据科技(北京)有限公司 | Irrigation method and device based on machine learning |
CN111480557B (en) * | 2020-04-23 | 2021-09-21 | 河北塔元庄同福农业科技有限责任公司 | Agricultural irrigation real-time monitoring regulation and control system based on big data Internet of things |
CN111596689B (en) * | 2020-06-10 | 2021-01-19 | 安徽有机良庄农业科技股份有限公司 | Intelligent agricultural plant protection operation control system based on big data Internet of things |
CN112400676B (en) * | 2020-10-26 | 2023-02-28 | 安徽工程大学 | Intelligent irrigation system based on big data |
CN112136667B (en) * | 2020-11-26 | 2021-02-12 | 江苏久智环境科技服务有限公司 | Intelligent sprinkling irrigation method and system based on edge machine learning |
CN112514780B (en) * | 2020-12-12 | 2022-10-18 | 广州市庆和源建设有限公司 | Intelligent control method and system for water-saving irrigation of high-grade farmland |
CN113367056B (en) * | 2021-07-19 | 2022-10-11 | 哈尔滨神州精英科技开发有限公司 | Modern agricultural planting irrigation intelligent regulation and control method based on data analysis |
-
2022
- 2022-07-15 CN CN202210836507.5A patent/CN115226612B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN115226612A (en) | 2022-10-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108647652B (en) | Cotton development period automatic identification method based on image classification and target detection | |
CN105173085A (en) | Automatic control system and method for variable pesticide spraying of unmanned aerial vehicle | |
CN116776129B (en) | Multi-source agricultural data acquisition and management method | |
CN115226612B (en) | Intelligent distribution system for water resource allocation management | |
CN112579807A (en) | Smart agriculture full-period planting data cloud sharing platform based on cloud computing and big data analysis | |
CN104361412A (en) | Decision-making potato late blight prevention and control system and method | |
CN113298537A (en) | Rice full-chain quality information intelligent detection system and method based on Internet of things | |
CN115685862B (en) | Intelligent agriculture detecting system based on edge calculation | |
CN112150498B (en) | Method and device for determining body state information, storage medium and electronic device | |
CN114460080A (en) | Rice disease and pest intelligent monitoring system | |
CN112325949A (en) | Breeding environment monitoring system | |
CN115938083A (en) | Agricultural monitoring and early warning method and system based on mobile terminal | |
CN104007733A (en) | System and method for monitoring agricultural intensive production | |
CN117172952A (en) | Agricultural disaster monitoring system based on Internet of things and remote sensing technology | |
CN113933299B (en) | Fruit and vegetable planting management system based on Internet of things | |
CN117455141A (en) | Water, fertilizer and pesticide integrated irrigation equipment regulation and control method and system based on Internet of things | |
CN113377141A (en) | Artificial intelligence agricultural automatic management system | |
CN113031493A (en) | Intelligent agricultural monitoring management system based on 5G communication technology | |
CN109684960B (en) | Method and system for determining spraying time of defoliant | |
CN114543869A (en) | Agricultural braced system based on internet of things | |
CN210666867U (en) | Intelligent agriculture big data service platform based on Internet of things | |
CN114705034B (en) | Automatic drying control management system | |
CN109931987A (en) | A kind of intelligent vegetable planting machine environment based on cloud precisely monitors system and method | |
CN114916336B (en) | Chemical topping method based on cotton top leaf maturity stage classification and identification | |
CN118468012B (en) | Crop growth analysis system based on agricultural Internet of things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |