CN116796877A - Municipal greening maintenance calculation analysis method, system and storage medium based on image recognition - Google Patents
Municipal greening maintenance calculation analysis method, system and storage medium based on image recognition Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 71
- 238000003860 storage Methods 0.000 title claims abstract description 52
- 238000004364 calculation method Methods 0.000 title claims abstract description 50
- 238000012423 maintenance Methods 0.000 title claims abstract description 46
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 131
- 238000003973 irrigation Methods 0.000 claims description 129
- 230000002262 irrigation Effects 0.000 claims description 129
- 238000000034 method Methods 0.000 claims description 24
- 239000002689 soil Substances 0.000 claims description 24
- 238000012544 monitoring process Methods 0.000 claims description 22
- 238000002360 preparation method Methods 0.000 claims description 18
- 238000011156 evaluation Methods 0.000 claims description 9
- 230000008020 evaporation Effects 0.000 claims description 9
- 238000001704 evaporation Methods 0.000 claims description 9
- 239000003621 irrigation water Substances 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 6
- 238000005452 bending Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 239000002699 waste material Substances 0.000 description 6
- 206010016807 Fluid retention Diseases 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000007792 addition Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000009736 wetting Methods 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B9/00—Methods or installations for drawing-off water
- E03B9/02—Hydrants; Arrangements of valves therein; Keys for hydrants
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
Abstract
The invention relates to the technical field of municipal greening maintenance calculation analysis, and particularly discloses a municipal greening maintenance calculation analysis method, a system and a storage medium based on image recognition.
Description
Technical Field
The invention belongs to the technical field of municipal greening maintenance calculation and analysis, and relates to a municipal greening maintenance calculation and analysis method, a system and a storage medium based on image recognition.
Technical Field
Municipal afforestation is an indispensable furnishing on the road, and is beneficial to human health, and they can clear away dirt in the air, keep fresh and pleasant of air, but municipal afforestation watering often has the randomness, can not timely watering municipal afforestation, has highlighted the analysis of municipal afforestation and has also become important.
At present, municipal greening watering has certain disadvantages, and through artificial subjective and random watering, it is obvious that the following defects still exist for municipal greening at present: 1. at present, the municipal greening irrigation has wantonly behaviors, does not have accurate grasp to the watering amount, easily causes municipal greening root system to gather in a shallow layer, has weaker drought resistance, is unfavorable for municipal greening growth vigor, further causes municipal greening to have various problems, and increases maintenance cost.
2. At present, accurate analysis is not carried out on urban municipal greening watering time, the efficiency of unmanned watering vehicles cannot be guaranteed to a certain extent, reference value cannot be provided for subsequent municipal greening watering arrangement, waste of manpower and material resources cannot be reduced, and municipal greening cost cannot be reduced.
3. At present, irrigation is not carried out according to the wetting degree of municipal greening soil, so that the water retention of the soil is reduced to a certain extent, and meanwhile, the waste of water is also easily caused.
Disclosure of Invention
In view of the problems in the prior art, the invention provides a municipal greening maintenance calculation analysis method, a municipal greening maintenance calculation analysis system and a storage medium based on image recognition, which are used for solving the technical problems.
In order to achieve the above and other objects, the present invention adopts the following technical scheme: the invention provides a municipal greening maintenance calculation analysis method based on image recognition, which comprises the following steps of: step one, dividing urban areas: dividing the target city into subareas according to the dividing mode of the area positions, and further obtaining the positions corresponding to the subareas.
Step two, dividing municipal greening areas: and dividing the greening areas of each subarea of the target city according to a preset length, and simultaneously acquiring position information and length corresponding to each greening area in each subarea of the target city, wherein the position information comprises a starting point position and an end point position.
Step three, municipal afforestation area monitoring: and monitoring vegetation information in each greening area in each subarea of the target city according to monitoring instruments arranged in each greening area in each subarea of the target city.
Step four, municipal greening area analysis: and analyzing vegetation information of each greening area in each subarea of the target city, and further analyzing to obtain the predicted water demand of each greening area in each subarea of the target city.
Step five, obtaining fire hydrant information: and acquiring fire hydrant information corresponding to each subarea of the target city, wherein the fire hydrant information comprises the number and positions corresponding to each fire hydrant, and numbering each fire hydrant in sequence.
Step six, determining the regional fire hydrant: and determining the positions of the reference fire hydrants corresponding to the greening areas in the subareas of the target city according to the positions of the fire hydrants corresponding to the subareas of the target city.
Step seven, information acquisition of the watering vehicle: and acquiring basic information corresponding to the target unmanned irrigation vehicle, wherein the basic information comprises the total capacity of single water storage.
Step eight, determining the time of the irrigation vehicle: according to the predicted water demand of each greening area in each subarea of the target city, the total single water storage capacity corresponding to the target unmanned irrigation vehicle and the positions of the reference fire hydrant corresponding to each greening area in each subarea of the target city, the vehicle preparation time corresponding to each subarea of the target city of the target unmanned irrigation vehicle is further determined.
Step nine, greening irrigation analysis: and according to the predicted water demand of each greening area in each subarea of the target city, further analyzing and obtaining the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city.
Tenth, analyzing irrigation time of a greening area: and according to the vehicle preparation time and the irrigation time of each subarea corresponding to the target unmanned irrigation vehicle, further analyzing and obtaining the accurate watering and curing time corresponding to each subarea of the target city.
It should be further noted that, in the third step, the vegetation information includes soil wettability and a leaf image.
The predicted water demand of each greening area in each subarea of the target city is obtained by analysis in the fourth step, and the specific analysis process is as follows: a1, extracting a reference soil wettability interval corresponding to each drought grade from a database, further comparing the soil wettability of each greening region in each subarea of the target city with the reference soil wettability interval corresponding to each drought grade to obtain the drought grade corresponding to each greening region in each subarea of the target city, and simultaneously comparing the drought grade corresponding to each greening region in each subarea of the target city with a standard drought grade corresponding to each greening water demand stored in the database, thereby obtaining the greening water demand corresponding to each greening region in each subarea of the target city.
A2, extracting the curling degree and the chromaticity of each greening area corresponding to each blade in each subarea of the target city according to the blade image of each greening area in each subarea of the target city.
A3, extracting the highest temperature of each day in the target city set time period of the target city from the database, calculating the highest temperature average temperature in the target city set time period by using a mean value calculation formula, and comparing the highest temperature average temperature in the target city set time period with the temperature corresponding to each water evaporation rate stored in the database to obtain the water evaporation rate corresponding to the target city set time period.
A4, further utilizing a calculation formulaCalculating to obtain greening water shortage evaluation coefficients zeta corresponding to each greening area in each subarea of target city ky Where k is denoted as the number corresponding to each sub-region, k=1, 2, o, y is the number corresponding to each green area, y=1, 2, & gt. D is denoted as the number corresponding to each blade, d is denoted as each blade the corresponding number is used for the purpose of providing a corresponding code>Denoted as the curling degree of the (y) th greening area corresponding to the (d) th blade in the (k) th subarea, and theta' is denoted as the set initial curling degree of the blade 1 Expressed as a set curl compensation factor, +. >The method is characterized in that the method is used for representing the chromaticity of a (y) th greening area corresponding to a (D) th blade in a kth subarea, D' is represented by a set initial chromaticity of the blade, deltaD is represented by a set allowable chromaticity difference value, D1 and D2 are respectively represented by weight factors corresponding to the bending and chromaticity of the blade, and epsilon is represented by a water evaporation rate corresponding to a set time period of a target city.
A5, according to the greening water shortage evaluation coefficients corresponding to each greening area in each subarea of the target city and the analysis formula psi ky ＝ζ ky * Alpha, calculating to obtain the possible water demand psi corresponding to each greening area in each subarea of the target city ky Wherein alpha is expressed as the water demand corresponding to the set unit greening water shortage evaluation coefficient.
A6, comparing the greening water demand corresponding to each greening region in each subarea of the target city with the possible water demand corresponding to each greening region in each subarea of the target city, and if the greening water demand corresponding to each greening region in each subarea of the target city is greater than the possible water demand corresponding to each greening region in each subarea of the target city, taking the greening water demand corresponding to each greening region in each subarea of the target city as the predicted water demand of each greening region in each subarea of the target city, otherwise taking the possible water demand corresponding to each greening region in each subarea of the target city as the predicted water demand of each greening region in each subarea of the target city.
It should be further described that, in the sixth step, the positions of the reference fire hydrant corresponding to each greening area in each subarea of the target city are determined specifically as follows: according to the positions corresponding to the fire hydrants in each subarea of the target city, the positions corresponding to the fire hydrants in each subarea of the target city are further led into an electronic map corresponding to the target city, the starting point positions and the end point positions corresponding to the greening areas in each subarea of the target city are simultaneously led into the electronic map corresponding to the target city, the distance between the starting point positions of the greening areas in each subarea of the target city and the fire hydrants is further extracted according to the electronic map corresponding to the target city, the mutual screening comparison is carried out on the distances between the starting point positions of the greening areas in each subarea of the target city and the fire hydrants, the fire hydrants closest to the starting point positions of the greening areas in each subarea of the target city are further obtained, the fire hydrants closest to the starting point positions of the greening areas in each subarea of the target city are recorded as reference fire hydrants, the starting point positions of the greening areas in each subarea of the target city are further obtained, the starting point positions of the greening areas of each greening areas of the target city are recorded as reference fire hydrants corresponding to the greening areas in each of the target city, and the greening areas in each subarea of the target city is determined, and the greening areas of each of the greening areas corresponds to the fire hydrants corresponding to the target city are simultaneously extracted from the electronic map corresponding to the target city, and the fire hydrants corresponding to the target city in each subarea does not have the reference position.
It should be further noted that, in the step eight, the vehicle preparation time in each sub-area of the target city corresponding to the target unmanned irrigation vehicle is determined, and the specific determination process is as follows: according to the total single water storage capacity corresponding to the target unmanned irrigation vehicle, a calculation formula is further utilizedCalculating to obtain the number xi of irrigation greening areas in each subarea corresponding to the total water storage capacity of the target unmanned irrigation vehicle k Wherein ω is ky Expressed as the predicted water demand of the y-th greening area in the k-th subarea, and CS expressed as the total single water storage capacity corresponding to the target unmanned irrigation vehicle, +.>Represented as a rounded down.
According to the number of the irrigation greening areas in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle, the number of the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle is further obtained, and the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle are marked as the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle.
According to the number of the greening areas needing to be irrigated in the middle of each sub-area corresponding to the single water storage total capacity of the target unmanned irrigation vehicle, a calculation formula is further utilized Calculating the vehicle preparation time delta of each subarea corresponding to the target unmanned irrigation vehicle k Wherein L is km The distance between the corresponding m-th greening area needing to be irrigated and the reference fire hydrant in the kth sub-area of the single water storage total capacity of the target unmanned irrigation vehicle is represented, m is represented as a number corresponding to each greening area needing to be irrigated in the middle, m=1, 2, n, v' is represented as a set fire hydrant standard water outlet speed, and v1 is represented as a set standard running speed corresponding to the target unmanned irrigation vehicle.
The step nine is to analyze and obtain the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city, and the specific analysis process is as follows: according to the predicted water demand of each greening area in each subarea of the target city, simultaneously extracting the reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle from the database, and utilizing a calculation formulaFurther calculate the irrigation time of each sub-area of the target city corresponding to the target unmanned irrigation vehicle>Wherein v2 is expressed as a reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle.
It should be further noted that the step tenThe accurate watering maintenance time corresponding to each subarea of the target city is obtained by the analysis of the water sprinkling maintenance time, and the specific analysis process is as follows: using a calculation formula eta k ＝σ k +δ k Calculating the accurate watering maintenance time eta corresponding to each subarea of the target city k 。
The second aspect of the invention provides a municipal greening maintenance calculation analysis system based on image recognition, which comprises: the city region dividing module is used for dividing the target city into subareas according to the dividing mode of the region positions, and further obtaining the positions corresponding to the subareas.
The municipal greening region dividing module is used for dividing the greening regions of all the subareas of the target city according to preset lengths, and simultaneously acquiring position information and lengths corresponding to all the greening regions of all the subareas of the target city, wherein the position information comprises a starting point position and an end point position.
And the municipal greening area monitoring module is used for monitoring vegetation information in each greening area in each subarea of the target city according to monitoring instruments distributed in each greening area in each subarea of the target city.
The municipal greening area analysis module is used for analyzing vegetation information of each greening area in each subarea of the target city so as to obtain the predicted water demand of each greening area in each subarea of the target city.
The fire hydrant information acquisition module is used for acquiring fire hydrant information corresponding to each subarea of the target city, wherein the fire hydrant information comprises the number and positions corresponding to each fire hydrant, and the fire hydrants are numbered in sequence.
The regional fire hydrant determining module is used for determining the positions of the reference fire hydrants corresponding to the greening regions in the subareas of the target city according to the positions of the fire hydrants corresponding to the subareas of the target city.
And the irrigation vehicle information acquisition module is used for acquiring basic information corresponding to the target unmanned irrigation vehicle, wherein the basic information comprises the total capacity of single water storage.
And the irrigation vehicle time determining module is used for determining the vehicle preparation time of each sub-area of the target city corresponding to the target unmanned irrigation vehicle according to the predicted water demand of each greening area of the target city, the total single water storage capacity corresponding to the target unmanned irrigation vehicle and the positions of the reference fire hydrant corresponding to each greening area of the target city.
And the greening irrigation analysis module is used for analyzing and obtaining the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city according to the predicted water demand of each greening area in each subarea of the target city.
And the greening area watering time analysis module is used for analyzing and obtaining the accurate watering maintenance time corresponding to each subarea of the target city according to the vehicle preparation time and the watering time corresponding to each subarea of the target unmanned watering vehicle.
The database is used for storing the reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle and the temperature in the set time period of the target city, and also used for storing the reference soil wettability interval corresponding to each drought grade and the standard drought grade corresponding to each greening water demand.
The third aspect of the invention provides a municipal greening maintenance calculation analysis storage medium based on image recognition, wherein the municipal greening maintenance calculation analysis storage medium is burnt with a computer program, and the computer program realizes the municipal greening maintenance calculation analysis method when running in a memory of a server.
As described above, the municipal greening maintenance calculation analysis method, the municipal greening maintenance calculation analysis system and the storage medium based on image recognition have the following beneficial effects: according to the municipal greening maintenance calculation analysis method, the system and the storage medium based on image recognition, the humidity degree and the blade image of municipal greening soil are analyzed, so that the predicted water demand of each greening area in each subarea of a target city is obtained through analysis, the method is also used for obtaining the corresponding precise watering maintenance time of each greening area in each subarea of the target city according to the position of a fire hydrant through comprehensive analysis, on one hand, the problem that certain defects exist in municipal greening irrigation analysis at present is effectively solved, the possibility of developed aggregation of municipal greening root systems in shallow layers is reduced, the drought resistance of municipal greening is improved, the growth of municipal greening is promoted, various problems of municipal greening are avoided, the maintenance cost is reduced to a certain extent, on the one hand, the efficiency of unmanned watering vehicles is guaranteed to a certain extent, meanwhile, the reference value is provided for subsequent municipal greening watering arrangement, the waste of manpower and material resources is reduced, on the other hand, the water retention of the soil is improved to a certain extent according to the humidity degree of municipal greening soil, and the waste of water resources is avoided to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
FIG. 2 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The foregoing is merely illustrative of the principles of the invention, and various modifications, additions and substitutions for those skilled in the art will be apparent to those having ordinary skill in the art without departing from the principles of the invention or from the scope of the invention as defined in the accompanying claims.
Referring to fig. 1, a municipal greening maintenance calculation analysis method based on image recognition comprises the following steps: step one, dividing urban areas: dividing the target city into subareas according to the dividing mode of the area positions, and further obtaining the positions corresponding to the subareas.
Step two, dividing municipal greening areas: and dividing the greening areas of each subarea of the target city according to a preset length, and simultaneously acquiring position information and length corresponding to each greening area in each subarea of the target city, wherein the position information comprises a starting point position and an end point position.
Step three, municipal afforestation area monitoring: and monitoring vegetation information in each greening area in each subarea of the target city according to monitoring instruments arranged in each greening area in each subarea of the target city.
According to a preferred embodiment, the vegetation information in the third step includes soil wettability and a leaf image.
In a specific embodiment, the monitoring instrument for laying each greening area in each subarea of the target city is specifically: and monitoring the soil humidity of each greening area in each subarea of the target city through a distributed soil humidity detector.
And monitoring blade images of greening areas in each subarea of the target city through high-definition cameras arranged in each subarea of the target city.
Step four, municipal greening area analysis: and analyzing vegetation information of each greening area in each subarea of the target city, and further analyzing to obtain the predicted water demand of each greening area in each subarea of the target city.
According to a preferred embodiment, the analyzing in the step four obtains the predicted water demand of each greening area in each subarea of the target city, and the specific analyzing process is as follows: a1, extracting a reference soil wettability interval corresponding to each drought grade from a database, further comparing the soil wettability of each greening region in each subarea of the target city with the reference soil wettability interval corresponding to each drought grade to obtain the drought grade corresponding to each greening region in each subarea of the target city, and simultaneously comparing the drought grade corresponding to each greening region in each subarea of the target city with a standard drought grade corresponding to each greening water demand stored in the database, thereby obtaining the greening water demand corresponding to each greening region in each subarea of the target city.
According to the embodiment of the invention, irrigation is carried out according to the wetting degree of municipal greening soil, so that the water retention of the soil is improved to a certain extent, and the waste of water resources is avoided.
A2, extracting the curling degree and the chromaticity of each greening area corresponding to each blade in each subarea of the target city according to the blade image of each greening area in each subarea of the target city.
A3, extracting the highest temperature of each day in the target city set time period of the target city from the database, calculating the highest temperature average temperature in the target city set time period by using a mean value calculation formula, and comparing the highest temperature average temperature in the target city set time period with the temperature corresponding to each water evaporation rate stored in the database to obtain the water evaporation rate corresponding to the target city set time period.
In one particular embodiment, the temperature within the target city set time period is embodied as the temperature within the target city's future week.
A4, further utilizing a calculation formulaCalculating to obtain greening water shortage evaluation coefficients zeta corresponding to each greening area in each subarea of target city ky Where k is denoted as the number corresponding to each sub-region, k=1, 2, o, y is the number corresponding to each green area, y=1, 2, & gt. D is denoted as the number corresponding to each blade, d is denoted as each blade the corresponding number is used for the purpose of providing a corresponding code>Denoted as the curling degree of the (y) th greening area corresponding to the (d) th blade in the (k) th subarea, and theta' is denoted as the set initial curling degree of the blade 1 Expressed as a set curl compensation factor, +.>The chromaticity of the (y) th greening area corresponding to the (D) th blade in the (k) th subarea is expressed, D' is expressed as the set initial chromaticity of the blade, deltaD is expressed as the set allowable chromaticity difference value, D1 and D2 are respectively expressed as weight factors corresponding to the bending of the blade and the chromaticity, and epsilon is expressed as water corresponding to the set time period of the target cityFractional evaporation rate.
A5, according to the greening water shortage evaluation coefficients corresponding to each greening area in each subarea of the target city and the analysis formula psi ky ＝ζ ky * Alpha, calculating to obtain the possible water demand psi corresponding to each greening area in each subarea of the target city ky Wherein alpha is expressed as the water demand corresponding to the set unit greening water shortage evaluation coefficient.
A6, comparing the greening water demand corresponding to each greening region in each subarea of the target city with the possible water demand corresponding to each greening region in each subarea of the target city, and if the greening water demand corresponding to each greening region in each subarea of the target city is greater than the possible water demand corresponding to each greening region in each subarea of the target city, taking the greening water demand corresponding to each greening region in each subarea of the target city as the predicted water demand of each greening region in each subarea of the target city, otherwise taking the possible water demand corresponding to each greening region in each subarea of the target city as the predicted water demand of each greening region in each subarea of the target city.
Step five, obtaining fire hydrant information: and acquiring fire hydrant information corresponding to each subarea of the target city, wherein the fire hydrant information comprises the number and positions corresponding to each fire hydrant, and numbering each fire hydrant in sequence.
Step six, determining the regional fire hydrant: and determining the positions of the reference fire hydrants corresponding to the greening areas in the subareas of the target city according to the positions of the fire hydrants corresponding to the subareas of the target city.
According to a preferred embodiment, the position of each greening area in each subarea of the target city corresponding to the reference hydrant in the step six is determined specifically as follows: according to the positions corresponding to the fire hydrants in each subarea of the target city, the positions corresponding to the fire hydrants in each subarea of the target city are further led into an electronic map corresponding to the target city, the starting point positions and the end point positions corresponding to the greening areas in each subarea of the target city are simultaneously led into the electronic map corresponding to the target city, the distance between the starting point positions of the greening areas in each subarea of the target city and the fire hydrants is further extracted according to the electronic map corresponding to the target city, the mutual screening comparison is carried out on the distances between the starting point positions of the greening areas in each subarea of the target city and the fire hydrants, the fire hydrants closest to the starting point positions of the greening areas in each subarea of the target city are further obtained, the fire hydrants closest to the starting point positions of the greening areas in each subarea of the target city are recorded as reference fire hydrants, the starting point positions of the greening areas in each subarea of the target city are further obtained, the starting point positions of the greening areas of each greening areas of the target city are recorded as reference fire hydrants corresponding to the greening areas in each of the target city, and the greening areas in each subarea of the target city is determined, and the greening areas of each of the greening areas corresponds to the fire hydrants corresponding to the target city are simultaneously extracted from the electronic map corresponding to the target city, and the fire hydrants corresponding to the target city in each subarea does not have the reference position.
Step seven, information acquisition of the watering vehicle: and acquiring basic information corresponding to the target unmanned irrigation vehicle, wherein the basic information comprises the total capacity of single water storage.
Step eight, determining the time of the irrigation vehicle: according to the predicted water demand of each greening area in each subarea of the target city, the total single water storage capacity corresponding to the target unmanned irrigation vehicle and the positions of the reference fire hydrant corresponding to each greening area in each subarea of the target city, the vehicle preparation time corresponding to each subarea of the target city of the target unmanned irrigation vehicle is further determined.
According to a preferred embodiment, in the step eight, the vehicle preparation time in each sub-area of the target city corresponding to the target unmanned irrigation vehicle is determined, and the specific determination process is as follows: according to the total single water storage capacity corresponding to the target unmanned irrigation vehicle, a calculation formula is further utilizedCalculating to obtain the number xi of irrigation greening areas in each subarea corresponding to the total water storage capacity of the target unmanned irrigation vehicle k Wherein ω is ky Predicted water demand expressed as the y-th greening area in the k-th sub-areaThe CS is expressed as the total capacity of the single water storage corresponding to the target unmanned irrigation vehicle, +.>Represented as a rounded down.
According to the number of the irrigation greening areas in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle, the number of the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle is further obtained, and the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle are marked as the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle.
According to the number of the greening areas needing to be irrigated in the middle of each sub-area corresponding to the single water storage total capacity of the target unmanned irrigation vehicle, a calculation formula is further utilizedCalculating the vehicle preparation time delta of each subarea corresponding to the target unmanned irrigation vehicle k Wherein L is km The distance between the corresponding m-th greening area needing to be irrigated and the reference fire hydrant in the kth sub-area of the single water storage total capacity of the target unmanned irrigation vehicle is represented, m is represented as a number corresponding to each greening area needing to be irrigated in the middle, m=1, 2, n, v' is represented as a set fire hydrant standard water outlet speed, and v1 is represented as a set standard running speed corresponding to the target unmanned irrigation vehicle.
Step nine, greening irrigation analysis: and according to the predicted water demand of each greening area in each subarea of the target city, further analyzing and obtaining the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city.
According to a preferred embodiment, the step nine is used for analyzing and obtaining the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city, and the specific analysis process is as follows: according to the predicted water demand of each greening area in each subarea of the target city, simultaneously extracting the reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle from the database, and utilizing a calculation formula Further calculate the irrigation time of each sub-area of the target city corresponding to the target unmanned irrigation vehicle>Wherein v2 is expressed as a reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle.
The embodiment of the invention ensures the efficiency of the unmanned watering vehicle to a certain extent, provides reference value for subsequent municipal greening watering arrangement, reduces the waste of manpower and material resources, and reduces the municipal greening cost.
Tenth, analyzing irrigation time of a greening area: and according to the vehicle preparation time and the irrigation time of each subarea corresponding to the target unmanned irrigation vehicle, further analyzing and obtaining the accurate watering and curing time corresponding to each subarea of the target city.
According to a preferred embodiment, in the step ten, the accurate sprinkling maintenance time corresponding to each sub-area of the target city is obtained through analysis, and the specific analysis process is as follows: using a calculation formula eta k ＝σ k +δ k Calculating the accurate watering maintenance time eta corresponding to each subarea of the target city k 。
The embodiment of the invention reduces the possibility of developed and gathered municipal greening root systems in shallow layers, improves the drought resistance of municipal greening, and promotes the growth of municipal greening, thereby avoiding various problems of municipal greening and reducing maintenance cost to a certain extent.
Referring to fig. 2, a municipal greening maintenance calculation analysis system based on image recognition, the system comprises: urban area division module, municipal afforestation area monitoring module, municipal afforestation area analysis module, fire hydrant information acquisition module, regional fire hydrant determination module, watering car information acquisition module, watering car time determination module, afforestation watering analysis module, afforestation area watering time analysis module and database.
The urban area dividing module is connected with the municipal greening area dividing module, the municipal greening area monitoring module is connected with the municipal greening area dividing module and the municipal greening area analyzing module, the fire hydrant information acquisition module is connected with the area fire hydrant determining module, the watering vehicle time determining module is connected with the area fire hydrant determining module, the greening watering analyzing module is connected with the municipal greening area analyzing module, the greening area watering time analyzing module is connected with the watering vehicle information acquisition module, the watering vehicle time determining module and the greening watering analyzing module, and the database is connected with the municipal greening area analyzing module.
The city region dividing module is used for dividing the target city into subareas according to the dividing mode of the region positions, and further obtaining the positions corresponding to the subareas.
The municipal greening region dividing module is used for dividing the greening regions of all the subareas of the target city according to preset lengths, and simultaneously acquiring position information and lengths corresponding to all the greening regions of all the subareas of the target city, wherein the position information comprises a starting point position and an end point position.
And the municipal greening area monitoring module is used for monitoring vegetation information in each greening area in each subarea of the target city according to monitoring instruments distributed in each greening area in each subarea of the target city.
The municipal greening area analysis module is used for analyzing vegetation information of each greening area in each subarea of the target city so as to obtain the predicted water demand of each greening area in each subarea of the target city.
The fire hydrant information acquisition module is used for acquiring fire hydrant information corresponding to each subarea of the target city, wherein the fire hydrant information comprises the number and positions corresponding to each fire hydrant, and the fire hydrants are numbered in sequence.
The regional fire hydrant determining module is used for determining the positions of the reference fire hydrants corresponding to the greening regions in the subareas of the target city according to the positions of the fire hydrants corresponding to the subareas of the target city.
And the irrigation vehicle information acquisition module is used for acquiring basic information corresponding to the target unmanned irrigation vehicle, wherein the basic information comprises the total capacity of single water storage.
And the irrigation vehicle time determining module is used for determining the vehicle preparation time of each sub-area of the target city corresponding to the target unmanned irrigation vehicle according to the predicted water demand of each greening area of the target city, the total single water storage capacity corresponding to the target unmanned irrigation vehicle and the positions of the reference fire hydrant corresponding to each greening area of the target city.
And the greening irrigation analysis module is used for analyzing and obtaining the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city according to the predicted water demand of each greening area in each subarea of the target city.
And the greening area watering time analysis module is used for analyzing and obtaining the accurate watering maintenance time corresponding to each subarea of the target city according to the vehicle preparation time and the watering time corresponding to each subarea of the target unmanned watering vehicle.
The database is used for storing the reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle and the temperature in the set time period of the target city, and also used for storing the reference soil wettability interval corresponding to each drought grade and the standard drought grade corresponding to each greening water demand.
The third aspect of the invention provides a municipal greening maintenance calculation analysis storage medium based on image recognition, wherein the municipal greening maintenance calculation analysis storage medium is burnt with a computer program, and the computer program realizes the municipal greening maintenance calculation analysis method when running in a memory of a server.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (9)
1. A municipal greening maintenance calculation analysis method based on image recognition is characterized by comprising the following steps of: the method comprises the following steps:
step one, dividing urban areas: dividing the target city into subareas according to the dividing mode of the regional position, and further obtaining the position corresponding to each subarea;
step two, dividing municipal greening areas: dividing the greening areas of each subarea of the target city according to preset lengths, and simultaneously acquiring position information and lengths corresponding to each greening area in each subarea of the target city, wherein the position information comprises a starting point position and an end point position;
Step three, municipal afforestation area monitoring: according to the monitoring instruments arranged in each greening area in each subarea of the target city, the vegetation information in each greening area in each subarea of the target city is monitored;
step four, municipal greening area analysis: analyzing vegetation information of each greening area in each subarea of the target city, and further analyzing to obtain predicted water demand of each greening area in each subarea of the target city;
step five, obtaining fire hydrant information: acquiring fire hydrant information corresponding to each subarea of a target city, wherein the fire hydrant information comprises the number and positions corresponding to each fire hydrant, and numbering each fire hydrant in sequence;
step six, determining the regional fire hydrant: according to the positions corresponding to the fire hydrants in each subarea of the target city, determining the positions of the reference fire hydrants corresponding to each greening area in each subarea of the target city;
step seven, information acquisition of the watering vehicle: acquiring basic information corresponding to a target unmanned irrigation vehicle, wherein the basic information comprises the total capacity of single water storage;
step eight, determining the time of the irrigation vehicle: according to the predicted water demand of each greening area in each subarea of the target city, the total single water storage capacity corresponding to the target unmanned irrigation vehicle and the positions of the reference fire hydrant corresponding to each greening area in each subarea of the target city, the vehicle preparation time corresponding to each subarea of the target city of the target unmanned irrigation vehicle is further determined;
Step nine, greening irrigation analysis: according to the predicted water demand of each greening area in each subarea of the target city, further analyzing and obtaining the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city;
tenth, analyzing irrigation time of a greening area: and according to the vehicle preparation time and the irrigation time of each subarea corresponding to the target unmanned irrigation vehicle, further analyzing and obtaining the accurate watering and curing time corresponding to each subarea of the target city.
2. The municipal greening maintenance calculation analysis method based on image recognition according to claim 1, wherein the method comprises the following steps of: and in the third step, the vegetation information comprises soil wettability and a blade image.
3. The municipal greening maintenance calculation analysis method based on image recognition according to claim 2, wherein the method comprises the following steps of: in the fourth step, the predicted water demand of each greening area in each subarea of the target city is obtained through analysis, and the specific analysis process is as follows:
a1, extracting a reference soil wettability interval corresponding to each drought grade from a database, further comparing the soil wettability of each greening region in each subarea of a target city with the reference soil wettability interval corresponding to each drought grade to obtain the drought grade corresponding to each greening region in each subarea of the target city, and simultaneously comparing the drought grade corresponding to each greening region in each subarea of the target city with a standard drought grade corresponding to each greening water demand stored in the database to obtain the greening water demand corresponding to each greening region in each subarea of the target city;
A2, extracting the curling degree and the chromaticity of each greening area corresponding to each blade in each subarea of the target city according to the blade image of each greening area in each subarea of the target city;
a3, extracting the highest temperature of each day in the target city set time period of the target city from the database, calculating the highest temperature average temperature in the target city set time period by using a mean value calculation formula, comparing the highest temperature average temperature in the target city set time period with the temperatures corresponding to the water evaporation rates stored in the database, and further obtaining the water evaporation rate corresponding to the target city set time period;
a4, further utilizing a calculation formulaCalculating to obtain greening water shortage evaluation coefficients zeta corresponding to each greening area in each subarea of target city ky Where k is denoted as the number corresponding to each sub-region, k=1, 2, o, y is the number corresponding to each green area, y=1, 2, & gt. D is denoted as the number corresponding to each blade, d is denoted as each blade the corresponding number is used for the purpose of providing a corresponding code>Denoted as the curling degree of the (y) th greening area corresponding to the (d) th blade in the (k) th subarea, and theta' is denoted as the set initial curling degree of the blade 1 Expressed as a set curl compensation factor, +. >The method comprises the steps that the chromaticity of a (y) th greening area corresponding to a (D) th blade in a kth subarea is represented, D' is represented as a set initial chromaticity of the blade, deltaD is represented as a set allowable chromaticity difference value, D1 and D2 are respectively represented as weight factors corresponding to the bending and chromaticity of the blade, and epsilon is represented as a water evaporation rate corresponding to a set time period of a target city;
a5, according to the greening water shortage evaluation coefficients corresponding to each greening area in each subarea of the target city and the analysis formula psi ky ＝ζ ky * Alpha, calculating to obtain the possible water demand psi corresponding to each greening area in each subarea of the target city ky Wherein alpha represents the water demand corresponding to the set unit greening water shortage evaluation coefficient;
a6, comparing the greening water demand corresponding to each greening region in each subarea of the target city with the possible water demand corresponding to each greening region in each subarea of the target city, and if the greening water demand corresponding to each greening region in each subarea of the target city is greater than the possible water demand corresponding to each greening region in each subarea of the target city, taking the greening water demand corresponding to each greening region in each subarea of the target city as the predicted water demand of each greening region in each subarea of the target city, otherwise taking the possible water demand corresponding to each greening region in each subarea of the target city as the predicted water demand of each greening region in each subarea of the target city.
4. The municipal greening maintenance calculation analysis method based on image recognition according to claim 1, wherein the method comprises the following steps of: in the sixth step, the positions of the reference fire hydrant corresponding to each greening area in each subarea of the target city are determined specifically as follows:
according to the positions corresponding to the fire hydrants in each subarea of the target city, the positions corresponding to the fire hydrants in each subarea of the target city are further led into an electronic map corresponding to the target city, the starting point positions and the end point positions corresponding to the greening areas in each subarea of the target city are simultaneously led into the electronic map corresponding to the target city, the distance between the starting point positions of the greening areas in each subarea of the target city and the fire hydrants is further extracted according to the electronic map corresponding to the target city, the mutual screening comparison is carried out on the distances between the starting point positions of the greening areas in each subarea of the target city and the fire hydrants, the fire hydrants closest to the starting point positions of the greening areas in each subarea of the target city are further obtained, the fire hydrants closest to the starting point positions of the greening areas in each subarea of the target city are recorded as reference fire hydrants, the starting point positions of the greening areas in each subarea of the target city are further obtained, the starting point positions of the greening areas of each greening areas of the target city are recorded as reference fire hydrants corresponding to the greening areas in each of the target city, and the greening areas in each subarea of the target city is determined, and the greening areas of each of the greening areas corresponds to the fire hydrants corresponding to the target city are simultaneously extracted from the electronic map corresponding to the target city, and the fire hydrants corresponding to the target city in each subarea does not have the reference position.
5. The municipal greening maintenance calculation analysis method based on image recognition according to claim 1, wherein the method comprises the following steps of: in the eighth step, the vehicle preparation time in each subarea of the target city corresponding to the target unmanned irrigation vehicle is determined, and the specific determination process is as follows:
according to the total single water storage capacity corresponding to the target unmanned irrigation vehicle, a calculation formula is further utilizedCalculating to obtain the number xi of irrigation greening areas in each subarea corresponding to the total water storage capacity of the target unmanned irrigation vehicle k Wherein ω is ky Expressed as the predicted water demand of the y-th greening area in the k-th subarea, and CS expressed as the total single water storage capacity corresponding to the target unmanned irrigation vehicle, +.>Represented as a downward rounding;
according to the number of the irrigation greening areas in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle, the number of the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle is further obtained, and the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle are marked as the irrigation greening areas needing to be irrigated midway in each subarea corresponding to the single water storage total capacity of the target unmanned irrigation vehicle;
according to the number of the greening areas needing to be irrigated in the middle of each sub-area corresponding to the single water storage total capacity of the target unmanned irrigation vehicle, a calculation formula is further utilized Calculating the vehicle preparation time delta of each subarea corresponding to the target unmanned irrigation vehicle k Wherein L is km The distance between the corresponding m-th greening area needing to be irrigated in the middle of the kth sub-area of the single water storage total capacity of the target unmanned irrigation vehicle and the reference fire hydrant is represented as m, wherein m represents the number corresponding to each greening area needing to be irrigated in the middle, and m=1, 2,.. N, v' are expressed as set standard hydrant water outlet speeds and v1 is expressed as set standard travel speeds for the target unmanned watering vehicle.
6. The municipal greening maintenance calculation analysis method based on image recognition according to claim 1, wherein the method comprises the following steps of: and step nine, analyzing to obtain the irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city, wherein the specific analysis process is as follows:
according to the predicted water demand of each greening area in each subarea of the target city, simultaneously extracting the reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle from the database, and utilizing a calculation formulaAnd then calculate the irrigation time theta of the target unmanned irrigation vehicle corresponding to each subarea of the target city k Wherein v2 is expressed as a reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle.
7. The municipal greening maintenance calculation analysis method based on image recognition according to claim 1, wherein the method comprises the following steps of: in the step ten, the accurate watering maintenance time corresponding to each subarea of the target city is obtained through analysis, and the specific analysis process is as follows:
Using a calculation formula eta k ＝σ k +δ k Calculating the accurate watering maintenance time eta corresponding to each subarea of the target city k 。
8. A municipal greening maintenance calculation analysis system based on image recognition is characterized in that: the system comprises:
the city region dividing module is used for dividing a target city into subareas according to a dividing mode of region positions so as to obtain positions corresponding to the subareas;
the municipal greening region dividing module is used for dividing the greening regions of all the subareas of the target city according to preset lengths, and simultaneously acquiring position information and lengths corresponding to all the greening regions of all the subareas of the target city, wherein the position information comprises a starting point position and an end point position;
the municipal greening area monitoring module is used for monitoring vegetation information in each greening area in each subarea of the target city according to monitoring instruments arranged in each greening area in each subarea of the target city;
the municipal greening area analysis module is used for analyzing vegetation information of each greening area in each subarea of the target city so as to obtain predicted water demand of each greening area in each subarea of the target city;
the fire hydrant information acquisition module is used for acquiring fire hydrant information corresponding to each subarea of the target city, wherein the fire hydrant information comprises the number and positions corresponding to each fire hydrant, and the fire hydrants are numbered in sequence;
The regional fire hydrant determining module is used for determining the positions of the reference fire hydrants corresponding to each greening region in each subarea of the target city according to the positions of the fire hydrants corresponding to each subarea of the target city;
the irrigation vehicle information acquisition module is used for acquiring basic information corresponding to the target unmanned irrigation vehicle, wherein the basic information comprises the total capacity of single water storage;
the irrigation vehicle time determining module is used for determining vehicle preparation time of each sub-area of the target city corresponding to the target unmanned irrigation vehicle according to the predicted water demand of each greening area of the target city, the total single water storage capacity corresponding to the target unmanned irrigation vehicle and the positions of the reference fire hydrant corresponding to each greening area of the target city;
the greening irrigation analysis module is used for analyzing and obtaining irrigation time of the target unmanned irrigation vehicle corresponding to each subarea of the target city according to the predicted water demand of each greening area in each subarea of the target city;
the greening area watering time analysis module is used for analyzing and obtaining the accurate watering maintenance time corresponding to each subarea of the target city according to the vehicle preparation time and the watering time corresponding to each subarea of the target unmanned watering vehicle;
The database is used for storing the reference irrigation water outlet speed corresponding to the target unmanned irrigation vehicle and the temperature in the set time period of the target city, and also used for storing the reference soil wettability interval corresponding to each drought grade and the standard drought grade corresponding to each greening water demand.
9. The utility model provides a municipal afforestation maintenance calculation analysis storage medium based on image recognition which characterized in that: the municipal greening maintenance calculation analysis storage medium is burnt with a computer program, and the computer program realizes the municipal greening maintenance calculation analysis method according to any one of the claims 1-7 when running in the memory of the server.
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