CN112530011A - Method, device and equipment for determining environmental level of absorption field - Google Patents

Method, device and equipment for determining environmental level of absorption field Download PDF

Info

Publication number
CN112530011A
CN112530011A CN202011461821.7A CN202011461821A CN112530011A CN 112530011 A CN112530011 A CN 112530011A CN 202011461821 A CN202011461821 A CN 202011461821A CN 112530011 A CN112530011 A CN 112530011A
Authority
CN
China
Prior art keywords
area
absorption field
rate
determining
absorption
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.)
Pending
Application number
CN202011461821.7A
Other languages
Chinese (zh)
Inventor
邱昀
李令军
刘保献
赵文吉
鹿海峰
王新辉
张立坤
姜磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Ecological Environment Monitoring Center
Original Assignee
Beijing Ecological Environment Monitoring Center
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Ecological Environment Monitoring Center filed Critical Beijing Ecological Environment Monitoring Center
Priority to CN202011461821.7A priority Critical patent/CN112530011A/en
Publication of CN112530011A publication Critical patent/CN112530011A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing

Abstract

The application provides a method, a device and equipment for determining the environmental level of a digestion site, and relates to the technical field of digestion site management. The method comprises the following steps: acquiring at least one remote sensing image of an absorption field acquired by at least one acquisition device; determining the number of scattering points, the covering rate of a green net and the greening area rate in the digestion field based on the remote sensing image; and determining the environmental grade of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate. By applying the embodiment of the application, the precision of evaluating the absorption field environment can be improved.

Description

Method, device and equipment for determining environmental level of absorption field
Technical Field
The application relates to the technical field of absorption field management, in particular to a method, a device and equipment for determining an environment level of an absorption field.
Background
Along with the development of industrialized and urbanized construction, the quantity of the building garbage generated therewith is increasing. The construction waste disposal site is a site specially used for disposing construction waste, and due to the particularity of the construction waste disposal site, the evaluation of the management level of the construction waste disposal site becomes a focus of attention, and the evaluation can comprise the evaluation of the environment level of the disposal site and the evaluation of the disposal quantity.
At present, the evaluation of the management level of the construction waste absorption site mainly includes the evaluation of the environment level of the construction waste absorption site, when the environment of the construction waste absorption site is evaluated, images of the absorption site are mainly collected through a camera installed in the absorption site, the images are processed to obtain management parameters (such as the number of scattering points) of the absorption site, and the environment level of the absorption site is evaluated based on the management parameters.
However, due to the limitation of the angle of the camera, the management parameters of the absorption field cannot be obtained comprehensively, and the accuracy of evaluating the environmental level of the absorption field is reduced.
Disclosure of Invention
The present application aims to provide a method, an apparatus, and a device for determining an environmental level of a digestion site, which can improve the accuracy of evaluating the environmental level of the digestion site, in view of the above-mentioned deficiencies in the prior art.
In order to achieve the above purpose, the technical solutions adopted in the embodiments of the present application are as follows:
in a first aspect, an embodiment of the present application provides a method for determining a level of a digestion site environment, where the method includes:
acquiring at least one remote sensing image of an absorption field acquired by at least one acquisition device;
determining the number of scattering points, the covering rate of a green net and the greening area rate in the digestion field based on the remote sensing image;
and determining the environmental grade of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate.
Optionally, the method further comprises:
determining a first stacked volume included in the absorption field in the current time period based on the remote sensing image and a three-dimensional modeling technology;
obtaining a volume change rate of a stacking body according to a second stacking body volume and the first stacking body volume included in the absorption field in the previous period of the current period;
and determining the consumption of the absorption field according to the volume change rate of the accumulation body.
Optionally, obtaining a stack volume change rate according to a second stack volume included in the absorption field in a period previous to the current period and the first stack volume includes:
determining a difference between the first stack volume and the second stack volume;
the ratio of the difference to the second stack volume is taken as the stack volume change rate.
Optionally, determining the number of scattering points, the covering rate of a green net, and the greening area rate included in the digestion field based on the remote sensing image includes:
carrying out geographic information spatial analysis on the remote sensing image, and determining the area, the longitude and the latitude of the absorption field;
carrying out texture recognition on the remote sensing image, and determining a green net covering area, a greening area and a hardening area which are included in the absorption field;
and determining the number of scattering points, the covering rate of the green net and the greening area rate in the digestion field according to the area of the digestion field, the covering area of the green net, the greening area and the hardening area.
Optionally, the method further comprises:
and associating the area of the absorption field, the longitude and latitude, the volume of the accumulation body, the covering area of the green net, the greening area and the hardening area into a preset management module, wherein the management module comprises attribute information corresponding to each absorption field in a preset absorption field set, and the attribute information comprises name information of the absorption field.
Optionally, the determining, according to the area of the digestion site, the green net covering area, the greening area, and the hardening area, the number of scattering points, the green net covering rate, and the greening area rate included in the digestion site includes:
determining the bare area of the absorption field according to the area of the absorption field and the hardened area;
and respectively determining the number of scattering points, the green net covering rate and the greening area rate in the digestion site according to the green net covering area, the greening area and the bare land area.
Optionally, the determining, according to the number of scattering points of the absorption field and the management and control rate, an environment level of the absorption field includes:
determining a first ranking of the absorption fields in a preset absorption field set according to the number of the scattering points of the absorption fields, wherein the preset absorption field set comprises a plurality of absorption fields, and each absorption field is provided with the number of the scattering points and the management and control rate;
determining a second ranking of the absorption field in the preset absorption field set according to the control rate of the absorption field;
and determining the environment level of the absorption field according to the first ranking and the second ranking.
Optionally, the environmental level of the absorption farm is associated into the management module.
In a second aspect, an embodiment of the present application further provides an apparatus for determining a level of a digestion site environment, where the apparatus includes:
the acquisition module is used for acquiring at least one remote sensing image of the absorption field acquired by at least one acquisition device;
the first determining module is used for determining the number of scattering points, the covering rate of a green net and the greening area rate which are included in the digestion field based on the remote sensing image;
and the second determination module is used for determining the environmental level of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate.
Optionally, the second determining module is further configured to determine a first stacked volume included in the absorption field at the current time period based on the remote sensing image and a three-dimensional modeling technology; obtaining a volume change rate of a stacking body according to a second stacking body volume and the first stacking body volume included in the absorption field in the previous period of the current period; and determining the consumption of the absorption field according to the volume change rate of the accumulation body.
Optionally, the second determining module is specifically configured to determine a difference between the first stacked volume and the second stacked volume; the ratio of the difference to the second stack volume is taken as the stack volume change rate.
Optionally, the first determining module is specifically configured to perform geographic information spatial analysis on the remote sensing image, and determine an area, a longitude and a latitude of the absorption field; carrying out texture recognition on the remote sensing image, and determining a green net covering area, a greening area and a hardening area which are included in the absorption field; and determining the number of scattering points, the covering rate of the green net and the greening area rate in the digestion field according to the area of the digestion field, the covering area of the green net, the greening area and the hardening area.
Optionally, the apparatus further includes a correlation module, where the correlation module is configured to correlate the area of the absorption field, the longitude and latitude, the volume of the accumulation body, the green net covering area, the greening area, and the hardening area to a preset management module, where the management module includes attribute information corresponding to each absorption field in a preset absorption field set, and the attribute information includes name information of the absorption field.
Optionally, the first determining module is further specifically configured to determine a bare area of the absorption field according to the area of the absorption field and the hardened area; and respectively determining the number of scattering points, the green net covering rate and the greening area rate in the digestion site according to the green net covering area, the greening area and the bare land area.
Optionally, the second determining module is further specifically configured to determine, according to the number of scattered points of the absorption fields, a first rank of the absorption fields in the preset absorption field set, where the preset absorption field set includes a plurality of absorption fields, and each absorption field has the number of scattered points and the management and control rate; determining a second ranking of the absorption field in the preset absorption field set according to the control rate of the absorption field; and determining the environment level of the absorption field according to the first ranking and the second ranking.
Optionally, the associating module is further configured to associate the environment level of the absorption field into the management module.
In a third aspect, an embodiment of the present application provides a device for determining a level of a housing environment, including: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the absorption field environment level determination device is operated, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to execute the steps of the absorption field environment level determination method of the first aspect.
In a fourth aspect, the present application provides a storage medium, on which a computer program is stored, where the computer program is executed by a processor to execute the steps of the absorption field environment level determination method of the first aspect.
The beneficial effect of this application is:
the embodiment of the application provides a method, a device and equipment for determining the environmental level of a digestion site, wherein the method comprises the following steps: acquiring at least one remote sensing image of an absorption field acquired by at least one acquisition device; determining the number of scattering points, the covering rate of a green net and the greening area rate in the digestion field based on the remote sensing image; and determining the environmental grade of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate. By adopting the method for determining the environmental level of the absorption field provided by the embodiment of the application, the situation in the absorption field is obtained by analyzing the remote sensing image of the absorption field, wherein the situation can comprise the situations of muck scattering, covering and greening, namely the number of scattering points, the covering rate of green nets and the greening area rate in the absorption field, and the environmental level of the absorption field can be evaluated according to the data to determine the environmental level of the absorption field. By the method, the accuracy of evaluating the absorption field environment level can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic flowchart of a method for determining an environmental level of a absorption field according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another absorption field environment level determination method according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another method for determining an environmental level of a absorption farm according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of another method for determining a level of a digestion site environment according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an absorption field environment level determining apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an absorption field environment level determining apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic flowchart of a method for determining an environmental level of a absorption field according to an embodiment of the present application. The main body of execution of the method may be, for example, a server that processes the remote sensing image. As shown in fig. 1, the method may include:
s101, acquiring at least one remote sensing image of the absorption field acquired by at least one acquisition device.
The acquisition equipment can be called as a remote sensing instrument, the remote sensing instrument acquires a remote sensing image of a target object (such as a consumption field) by being carried on a remote sensing platform, and the remote sensing platform can be a high balloon, an airplane, an artificial satellite, a manned spacecraft and the like. The remote sensing instrument can send the obtained remote sensing image to a server capable of processing the image through the information transmission equipment and the receiving device, and the server can process the remote sensing image to obtain target data.
Specifically, the remote sensing image of the absorption field can be obtained in two ways, one way is to determine the remote sensing image of the absorption field from the obtained remote sensing image by using the POI (Point of Information) of the absorption field in the internet interest Point data, wherein the POI of the absorption field at least comprises name Information and geographical position Information. For example, a satellite remote sensing platform acquires a remote sensing image of a city A, the city A comprises a consumption field B, and the server acquires the remote sensing image of the consumption field B from the remote sensing image of the city A according to geographical position information in POI of the consumption field B. The other mode is that the texture features of the absorption field on the remote sensing image can be used for identifying the absorption field from the remote sensing image, and the remote sensing image of the absorption field can be acquired under the condition that POI information of the absorption field is unknown.
Specifically, the remote sensing image of the absorption field may be acquired according to a preset period, for example, the remote sensing image of the absorption field every month may be acquired in a month period, and then information on the remote sensing image of the absorption field is analyzed to obtain a parameter for evaluating the environment level of the absorption field, where the parameter may include area information of the absorption field, area information of deposits included in the absorption field, and the like, and further, the environment level of the absorption field is determined according to the parameter, and determining the environment level of the absorption field is equivalent to evaluating the environment management level (level) of the absorption field. It should be noted that, the present application does not limit the number of remote sensing images of the absorption field acquired every month, nor the manner of acquiring the remote sensing images of the absorption field, and the absorption field may specifically be a building waste absorption field, which is a place specially used for processing building waste, wherein the building waste may include waste residue, waste soil, sludge, waste materials, and the like.
The remote sensing image of the absorption field is obtained through the remote sensing technology, the internal condition of the absorption field can be comprehensively, objectively and quickly obtained, and then the precision of evaluating the environmental level of the absorption field is improved, namely, the precision of evaluating the environmental management level of the absorption field can be improved.
S102, determining the number of scattering points, the covering rate of a green net and the greening area rate in the digestion field based on the remote sensing image.
The range of the absorption field can be determined according to the remote sensing image of the absorption field and the geographic information spatial analysis technology, the boundary of the absorption field can be drawn based on the range, and then a vector list of the absorption field is obtained, wherein the vector list comprises the area and the longitude and the latitude of the absorption field. The absorption field contains various target information, and according to the principle that any object has spectral characteristics and different objects have different absorption, reflection and radiation spectral properties, the scattering condition of garbage, the covering condition of garbage and the greening condition in the absorption field, namely the number of scattering points, the covering rate of green nets and the greening area rate, can be acquired based on the area of the absorption field.
S103, determining the environment level of the absorption field according to the number of the scattering points of the absorption field and the control rate.
The management and control rate of the absorption field is the sum of the green net covering rate and the greening area rate of the absorption field, that is, if only the index of the management and control rate is set on the server, the higher the management and control rate of the absorption field is, the higher the environmental level of the absorption field is, that is, the better the environment of the absorption field is, the higher the environmental management level is; if only the index of the number of scattering points is set on the server, the smaller the number of scattering points of the absorption field is, the higher the environmental level of the absorption field is proved to be, namely the more optimal the environment of the absorption field is, the higher the environmental management level is; when the two indexes of the number of the scattered points and the management and control rate are considered comprehensively, the server may determine the environmental level of the absorption farm based on a preset manner, for example, according to the weight of each index, which is not limited in the present application.
To sum up, in the method for determining an environmental level of an absorption field provided by the present application, at least one remote sensing image of the absorption field acquired by at least one acquisition device is acquired; determining the number of scattering points, the covering rate of a green net and the greening area rate in the digestion field based on the remote sensing image; and determining the environmental grade of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate. By adopting the method for determining the environment level of the absorption field provided by the embodiment of the application, the internal condition of the absorption field is obtained by analyzing the remote sensing image of the absorption field, wherein the condition can comprise the condition of muck scattering, the condition of covering and the condition of greening, namely the quantity of scattering points, the green net covering rate and the greening area rate in the absorption field, and the environment level of the absorption field can be evaluated according to the data to determine the environment level of the absorption field. By the method, the accuracy of evaluating the absorption field environment level can be improved.
Fig. 2 is a schematic flowchart of another absorption field environment level determination method according to an embodiment of the present application. As shown in fig. 2, the method may further include:
s201, determining a first stacked volume included in the absorption field in the current time period based on the remote sensing image and a three-dimensional modeling technology.
The volume of the stack in the absorption field can be acquired at a preset frequency, which can be in months. The method comprises the steps of utilizing a stacking body three-dimensional modeling technology to model a stacking body in a remote sensing image of the absorption field to obtain a three-dimensional model corresponding to the stacking body, obtaining the height and the volume of the stacking body based on the three-dimensional model corresponding to the stacking body and a triangular grid method or a section method, and adopting other stacking body volume calculation methods without limitation. When the digestion site includes a plurality of deposits (such as muck), one of the target deposits may be selected to calculate the volume of the target deposit in the current month, i.e. the first deposit volume, or a plurality of the target deposits may be selected to calculate the volume of each target deposit in the current month, respectively, and the total volume is used as the first deposit volume.
S202, obtaining the volume change rate of the accumulation body according to the second accumulation body volume and the first accumulation body volume included in the absorption field in the previous period of the current period.
S203, determining the consumption of the absorption field according to the volume change of the accumulation body.
Optionally, determining a difference between the first stack volume and the second stack volume; the ratio of the difference to the second stack volume is taken as the stack volume change rate.
Continuing with the above example, the second stack volume included in the absorption field in the previous month (period prior to the current period) also includes three cases, such as one target stack volume as the second stack volume and a total volume of a plurality of target stacks as the second stack volume. In general, the same rule is selected to calculate the accumulation volume change rate of the absorption field, and assuming that a target accumulation volume is used as the first accumulation volume and the second accumulation volume, the accumulation volume change rate of the absorption field can be calculated by the following formula:
the rate of change of volume of the stack of the absorption field (first stack volume-second stack volume)/second stack volume 100%
The consumption of the absorption field is evaluated through the volume change rate of the accumulation body of the absorption field, the larger the volume change rate of the accumulation body is, the larger the consumption of the absorption field is proved to be, and the consumption of the absorption field can be respectively evaluated by adopting the quantitative evaluation means, so that the accuracy of evaluation can be improved.
Fig. 3 is a schematic flowchart of another absorption field environment level determination method according to an embodiment of the present application. As shown in fig. 3, optionally, determining the number of scattering points, the covering rate of the green net, and the greening area rate included in the absorption field based on the remote sensing image includes:
s301, carrying out geographic information spatial analysis on the remote sensing image, and determining the area, the longitude and the latitude of the absorption field.
The remote sensing image range of the absorption field can be decoded by carrying out geographic analysis on the remote sensing image, the boundary of the absorption field can be sketched based on the range, the area and the longitude and the latitude of the absorption field can be determined according to the boundary of the absorption field, and the area and the longitude and the latitude of the absorption field can be associated to a preset management module, wherein the management module is also called an electronic management ledger. The management module stores attribute information of each absorption field in a preset absorption field set in advance, the attribute information can comprise name information, address information and the like of the absorption field, and the area, the longitude and the latitude of the absorption field and the attribute information of the absorption field can be stored in an associated mode.
S302, carrying out texture recognition on the remote sensing image, and determining the covering area, greening area and hardening area of the green net included in the absorption field.
The method comprises the steps of respectively identifying areas where different target objects are located through texture features of the different target objects (such as a green net, a greening plant and a hardened pavement) on a remote sensing image, segmenting the different target objects by using a multi-scale segmentation method to obtain the areas where the target objects are located, such as the area where the green net is located, the area where the greening plant is located, the area where the hardened pavement is located and the area where a house is located, and respectively calculating the areas of the areas by using an area calculation method to obtain the covering area of the green net, the greening area, the hardened area and the area of the house in the absorption field.
S303, determining the number of scattering points, the covering rate of the green net and the greening area rate in the digestion field according to the area of the digestion field, the covering area of the green net, the greening area and the hardening area.
Optionally, determining the bare area of the absorption field according to the area of the absorption field and the hardened area; and respectively determining the number of scattering points, the green net covering rate and the greening area rate in the digestion site according to the green net covering area, the greening area and the bare land area.
Optionally, performing image recognition on the remote sensing image of the absorption field to obtain the number of scattering points included in a first area in the absorption field, where the first area is an area where an entrance and an exit of the absorption field are located.
Different target objects of the absorption field have different color characteristics and texture characteristics in the remote sensing image, the remote sensing image is subjected to pixel identification and texture identification, the scattering point areas in the absorption field can be identified, and the number of all scattering point areas is counted to obtain the number of scattering points. In another implementation, the area where the entrance and exit of the absorption field are located can be identified from the remote sensing image, the scattering point areas are obtained in the first area according to a preset range size (for example, within 500 meters from the entrance and exit, that is, the first area), the number of all scattering point areas is counted to obtain the number of scattering points, and the information of the scattering traces, such as the longitude and latitude, the scattering length, and the like, can also be obtained.
Making a difference between the field area of the absorption field and the hardened area of the absorption field, and also subtracting the obtained house area to determine the bare area of the absorption field, and taking the ratio of the green net covering area to the bare area as the green net covering rate; taking the ratio of the greening area to the bare land area as the greening area rate, taking the sum of the green net covering rate and the greening area rate as the control rate of the absorption field, and taking the formula as follows:
bare floor area-area of the site-area of the house and hardened area
Green net covering rate (green net covering area/bare area) 100%
Greening area ratio (greening area/bare area) 100%
Rate of control is green net covering rate plus green area rate
Besides the parameters, the unmanaged area of the digestion field can be obtained, and the unmanaged area is the difference value between the bare area and the covered area of the green net. Therefore, the environmental level of the absorption field can be evaluated from multiple dimensions, meanwhile, the green net covering area, the greening area and the hardening area of the absorption field can be associated into the management module, the accumulation body volume of the absorption field can also be associated into the management module, and it needs to be noted that the application does not limit the parameter types corresponding to the absorption field associated into the management module. That is to say, the parameter information of the absorption field and the attribute information of the absorption field can be stored in an associated manner, so that the parameter information of the absorption field for environment level evaluation can be managed uniformly through the management module, thereby facilitating the search of the historical parameter information of the absorption field and improving the efficiency of evaluating the environment level of the absorption field.
Fig. 4 is a schematic flowchart of another method for determining a level of a digestion room environment according to an embodiment of the present application. As shown in fig. 4, optionally, determining the environment level of the absorption field according to the number of scattered points and the management rate of the absorption field includes:
s401, determining a first ranking of the absorption field in the preset absorption field set according to the number of the scattering points of the absorption field.
The preset absorption field set includes a plurality of absorption fields, each absorption field has the number of scattering points and the management and control rate, the attribute information (such as name information, address information, and the like) of each absorption field in the preset absorption field set can be stored in the management module, the steps of determining the number of scattering points and the management and control rate of each absorption field in the management module are similar to those of the absorption field, and the description is omitted here.
According to the number of the scattered points of the absorption field and the number of each scattered point of other absorption fields in the preset absorption field set, ranking is performed according to a preset ranking rule, for example, ranking is performed according to the sequence of the number of the scattered points from small to large, so that a first ranking of the absorption fields can be obtained, and the position of the absorption field in the first ranking can be obtained.
S402, determining a second ranking of the absorption field in a preset absorption field set according to the management and control rate of the absorption field.
And ranking according to the control rate of the absorption field and the control rates of other absorption fields in the preset absorption field set and according to a preset ranking rule, for example, ranking according to the control rate from large to small, so that a second ranking of the absorption fields can be obtained, and the position of the absorption field in the second ranking can be obtained.
And S403, determining the environment level of the absorption field according to the first ranking and the second ranking.
According to the position of the absorption field in the first rank, the position of the absorption field in the second rank and a preset interval, the environment levels (such as superior, intermediate and inferior) of the absorption field can be determined, wherein the preset interval can be the top 10 positions in the first rank and the top 10 positions in the second rank, that is, when the two indexes (the number of scattering points and the control rate) of the absorption field are ranked in the top 10, the environment level of the absorption field is superior, only one index is ranked in the top 10, the environment level of the absorption field is intermediate, and when all the indexes are not ranked in the top 10, the environment level of the absorption field is inferior, and the environment levels of the absorption fields in the preset absorption field set can also be determined by referring to the above description. It should be noted that, in the present application, the preset interval is not limited, and the specific environment level determination rule is not determined.
Similarly, the environment level of each absorption field in the preset absorption field set may also be determined, and the environment level of each absorption field may be respectively associated with the management module, that is, the environment level of each absorption field and the attribute information of each absorption field may be stored in an associated manner.
Therefore, the method and the device can comprehensively determine the environment level of the absorption field through the remote sensing means, the geographic information analysis means and the management module, namely evaluate the environment management level of the absorption field, so that the efficiency of evaluating the environment management level of the absorption field can be improved, and the precision of evaluating the environment management level of the absorption field can be improved.
Fig. 5 is a schematic structural diagram of an absorption field environment level determining apparatus according to an embodiment of the present application. As shown in fig. 5, the apparatus may include:
an obtaining module 501, configured to obtain at least one remote sensing image of an absorption field collected by at least one collecting device;
a first determining module 502, configured to determine, based on the remote sensing image, the number of scattering points, a green net covering rate, and a greening area rate included in the absorption field;
a second determining module 503, configured to determine an environment level of the absorption field according to the number of scattering points of the absorption field and the management and control rate.
Optionally, the second determining module 503 is further configured to determine a first stacked volume included in the absorption field at the current time period based on the remote sensing image and a three-dimensional modeling technique; obtaining a volume change rate of a bank according to a second bank volume and the first bank volume included in the absorption field in a period prior to the current period; the amount of absorption of the absorption field is determined from the rate of change of the volume of the stack.
Optionally, a second determining module 503, specifically configured to determine a difference between the first stacked volume and the second stacked volume; the ratio of the difference to the second stack volume is taken as the stack volume change rate.
Optionally, the first determining module 502 is specifically configured to perform geographic information spatial analysis on the remote sensing image, and determine the area and the longitude and latitude of the absorption field; carrying out texture recognition on the remote sensing image, and determining a green net covering area, a greening area and a hardening area which are included in the absorption field; and determining the green net covering rate and the greening area rate according to the area of the digestion area, the green net covering area, the greening area and the hardening area.
Optionally, the apparatus further includes a correlation module, where the correlation module is configured to correlate the area of the absorption field, the longitude and latitude, the volume of the stack, the cover area of the green net, the greening area, and the hardening area to a preset management module, where the management module includes attribute information corresponding to each absorption field in a preset absorption field set, and the attribute information includes name information of the absorption field.
Optionally, the first determining module 502 is further specifically configured to determine a bare area of the absorption field according to the area of the absorption field and the hardened area; and respectively determining the number of scattering points, the green net covering rate and the greening area rate in the digestion site according to the green net covering area, the greening area and the bare land area.
Optionally, the second determining module 503 is further specifically configured to determine, according to the number of scattered points of the absorption field, a first rank of the absorption field in the preset absorption field set; determining a second ranking of the absorption field in the preset absorption field set according to the management and control rate of the absorption field; determining a context level of the consumption field according to the first ranking and the second ranking.
Optionally, the associating module is further configured to associate the environment level of the absorption field into the management module.
The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 6 is a schematic structural diagram of a absorption field environment level determining device according to an embodiment of the present application, and as shown in fig. 6, the absorption field environment level determining device may include: a processor 601, a storage medium 602 and a bus 603, wherein the storage medium 602 stores machine-readable instructions executable by the processor 601, when the absorption field environment level determination device is operated, the processor 601 communicates with the storage medium 602 through the bus 603, and the processor 601 executes the machine-readable instructions to execute the steps of the absorption field environment level determination method. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the present application further provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned absorption field environment level determination method are executed.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. Alternatively, the indirect coupling or communication connection of devices or units may be electrical, mechanical or other.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application 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 can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. A method for determining a level of a digestion site environment, the method comprising:
acquiring at least one remote sensing image of an absorption field acquired by at least one acquisition device;
determining the number of scattering points, the covering rate of a green net and the greening area rate in the digestion field based on the remote sensing image;
and determining the environmental grade of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate.
2. The method of claim 1, further comprising:
determining a first stacked volume included in the absorption field in the current time period based on the remote sensing image and a three-dimensional modeling technology;
obtaining a volume change rate of a stacking body according to a second stacking body volume and the first stacking body volume included in the absorption field in the previous period of the current period;
and determining the consumption of the absorption field according to the volume change rate of the accumulation body.
3. The method of claim 2, wherein said deriving a stack volume rate of change from a second stack volume included in the absorption field during a previous period of the current time period and the first stack volume comprises:
determining a difference between the first stack volume and the second stack volume;
the ratio of the difference to the second stack volume is taken as the stack volume change rate.
4. The method according to any one of claims 1-3, wherein said determining the number of scattering points, green net cover rate and green area rate included in the digestion site based on the remote sensing image comprises:
carrying out geographic information spatial analysis on the remote sensing image, and determining the area, the longitude and the latitude of the absorption field;
carrying out texture recognition on the remote sensing image, and determining a green net covering area, a greening area and a hardening area which are included in the absorption field;
and determining the number of scattering points, the covering rate of the green net and the greening area rate in the digestion field according to the area of the digestion field, the covering area of the green net, the greening area and the hardening area.
5. The method of claim 4, further comprising:
and associating the area of the absorption field, the longitude and latitude, the volume of the accumulation body, the covering area of the green net, the greening area and the hardening area into a preset management module, wherein the management module comprises attribute information corresponding to each absorption field in a preset absorption field set, and the attribute information comprises name information of the absorption field.
6. The method of claim 4, wherein said determining the number of spilled points, green net cover rate, and green area rate included in the containment area from the area of the containment area, the green net cover area, the green area, and the hardened area comprises:
determining the bare area of the absorption field according to the area of the absorption field and the hardened area;
and respectively determining the number of scattering points, the green net covering rate and the greening area rate in the digestion site according to the green net covering area, the greening area and the bare land area.
7. The method according to any one of claims 1 to 3, wherein the determining the environmental level of the absorption field according to the number of scattered points and the management rate of the absorption field comprises:
determining a first ranking of the absorption fields in a preset absorption field set according to the number of the scattering points of the absorption fields, wherein the preset absorption field set comprises a plurality of absorption fields, and each absorption field is provided with the number of the scattering points and the management and control rate;
determining a second ranking of the absorption field in the preset absorption field set according to the control rate of the absorption field;
and determining the environment level of the absorption field according to the first ranking and the second ranking.
8. The method of claim 7, wherein the method comprises:
associating the environmental level of the absorption field into the management module.
9. A digestion site environment level determination apparatus, the apparatus comprising:
the acquisition module is used for acquiring at least one remote sensing image of the absorption field acquired by at least one acquisition device;
the first determining module is used for determining the number of scattering points, the covering rate of a green net and the greening area rate which are included in the digestion field based on the remote sensing image;
and the second determination module is used for determining the environmental level of the digestion site according to the number of scattering points of the digestion site and a control rate, wherein the control rate is the sum of the covering rate of the green net and the greening area rate.
10. A digestion site environment level determination apparatus, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the absorption field environment level determination device is operated, the processor executing the machine-readable instructions to perform the steps of the absorption field environment level determination method according to any one of claims 1 to 8.
CN202011461821.7A 2020-12-10 2020-12-10 Method, device and equipment for determining environmental level of absorption field Pending CN112530011A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011461821.7A CN112530011A (en) 2020-12-10 2020-12-10 Method, device and equipment for determining environmental level of absorption field

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011461821.7A CN112530011A (en) 2020-12-10 2020-12-10 Method, device and equipment for determining environmental level of absorption field

Publications (1)

Publication Number Publication Date
CN112530011A true CN112530011A (en) 2021-03-19

Family

ID=74999251

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011461821.7A Pending CN112530011A (en) 2020-12-10 2020-12-10 Method, device and equipment for determining environmental level of absorption field

Country Status (1)

Country Link
CN (1) CN112530011A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018041369A (en) * 2016-09-09 2018-03-15 富士ゼロックス株式会社 Development view information generator and wrapping paper output device
CN109740562A (en) * 2019-01-14 2019-05-10 中国科学院地理科学与资源研究所 A kind of ecology sponge-type urban construction Suitable Area targeting accuracy identification and effect calculating system and method
WO2020143323A1 (en) * 2019-01-08 2020-07-16 平安科技(深圳)有限公司 Remote sensing image segmentation method and device, and storage medium and server

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018041369A (en) * 2016-09-09 2018-03-15 富士ゼロックス株式会社 Development view information generator and wrapping paper output device
WO2020143323A1 (en) * 2019-01-08 2020-07-16 平安科技(深圳)有限公司 Remote sensing image segmentation method and device, and storage medium and server
CN109740562A (en) * 2019-01-14 2019-05-10 中国科学院地理科学与资源研究所 A kind of ecology sponge-type urban construction Suitable Area targeting accuracy identification and effect calculating system and method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
李朋鲁;王童;朱文;马士龙;: "GIS在城市水土保持规划中的应用", 水利技术监督, no. 05, 15 September 2020 (2020-09-15) *
谢臻;张凤荣;张天柱;郑亚楠;周建;高阳;: "基于养分平衡的北京市人口-土地-环境问题探讨", 农业工程学报, no. 23, 8 December 2017 (2017-12-08) *
阎波杰;潘瑜春;: "基于农用地作物磷养分需求的畜禽养殖废弃物消纳区域空间划分", 水土保持通报, no. 06, 15 December 2015 (2015-12-15) *

Similar Documents

Publication Publication Date Title
Hortal et al. An ED-based protocol for optimal sampling of biodiversity
Duque et al. Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data
Masih et al. Assessing the impact of areal precipitation input on streamflow simulations using the SWAT Model 1
Kaim et al. Broad scale forest cover reconstruction from historical topographic maps
Massari et al. Data assimilation of satellite soil moisture into rainfall-runoff modelling: A complex recipe?
Attardi et al. Non-compensatory composite indicators for the evaluation of urban planning policy: The Land-Use Policy Efficiency Index (LUPEI)
Nieves et al. Examining the correlates and drivers of human population distributions across low-and middle-income countries
Rondinini et al. Global habitat suitability models of terrestrial mammals
Tognelli et al. Analysis of determinants of mammalian species richness in South America using spatial autoregressive models
Koch et al. Revealing areas of high nature conservation importance in a seasonally dry tropical forest in Brazil: Combination of modelled plant diversity hot spots and threat patterns
Tayyebi et al. Hierarchical modeling of urban growth across the conterminous USA: developing meso-scale quantity drivers for the Land Transformation Model
Tokarczyk et al. High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery
Kaur et al. Application of geospatial technologies for multi-hazard mapping and characterization of associated risk at local scale
Chen et al. A new method for building-level population estimation by integrating LiDAR, nighttime light, and POI data
Şahin Location selection by multi-criteria decision-making methods based on objective and subjective weightings
Gibson et al. Landscape characteristics associated with species richness and occurrence of small native mammals inhabiting a coastal heathland: a spatial modelling approach
Šimbera Neighborhood features in geospatial machine learning: the case of population disaggregation
KR101343097B1 (en) Fuzzy TOPSIS Approach method to Flood Vulnerability Assessment
D’Ambrosio et al. A spatial analysis to define data requirements for hydrological and water quality models in data-limited regions
Deepthi et al. Performance assessment of general circulation models: application of compromise programming method and global performance indicator technique
Xin et al. Residential building stock modelling for mainland China targeted for seismic risk assessment
Shahzad et al. Characterizing the stormwater runoff quality and evaluating the performance of curbside infiltration systems to improve stormwater quality of an urban catchment
Mubea et al. Spatial effects of varying model coefficients in urban growth modeling in Nairobi, Kenya
CN112530011A (en) Method, device and equipment for determining environmental level of absorption field
Darkwah et al. Geographic information systems and remote sensing applications in environmental and water resources

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