CN105975981A - Epidemic situation monitoring method and apparatus thereof - Google Patents
Epidemic situation monitoring method and apparatus thereof Download PDFInfo
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- CN105975981A CN105975981A CN201610272698.1A CN201610272698A CN105975981A CN 105975981 A CN105975981 A CN 105975981A CN 201610272698 A CN201610272698 A CN 201610272698A CN 105975981 A CN105975981 A CN 105975981A
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- epidemic situation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
- G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
Abstract
The invention discloses an epidemic situation monitoring method and an apparatus thereof. The method comprises the following steps of acquiring an environmental image of a target area; according to the environmental image, carrying out epidemic situation analysis and acquiring an epidemic situation analysis result; responding to the determined epidemic situation analysis result and indicating that the epidemic situation is generated, and making a target terminal output epidemic situation alarm information, wherein the epidemic situation alarm information indicates that the target area has the epidemic situation. In the technical scheme, through carrying out epidemic situation analysis on the environmental image of the target area, the analysis result is acquired; and according to the analysis result, the epidemic situation is determined and then the target terminal is controlled to timely output the epidemic situation alarm information so that prevention and control measures can be timely taken and spreading of the epidemic situation is prevented.
Description
Technical field
It relates to epidemic prevention and control technical field, particularly relate to a kind of epidemic monitoring method and device.
Background technology
Either for the poultry class animal of special plant or peasant household's autotrophy, the most effectively carry out
Animal epidemics prevention and control all seem extremely important, and wherein, interregional associating prevention and control are animal epidemics prevention and control instantly
Important means.At present, interregional associating prevention and control are mainly being found after epidemic situation by animal feeding personnel,
Epidemic prevention and control, intelligence degree is carried out by the plant around the means such as phone, broadcast notice or peasant household
Low, announcement information is delayed, easily misses the best opportunity of epidemic prevention and control.
Summary of the invention
Disclosure embodiment provides a kind of epidemic monitoring method and device.Described technical scheme is as follows:
On the one hand, it is provided that a kind of epidemic monitoring method, including:
Obtain the ambient image of target area；
Carry out prevalence analysis according to described ambient image, obtain prevalence analysis result；
In response to determining that the instruction of described prevalence analysis result occurs epidemic situation, control target terminal output epidemic situation alert
Announcement information, described epidemic situation warning message indicates described target area that epidemic situation occurs.
In one embodiment, described it is analyzed according to described ambient image, obtains prevalence analysis result,
Including:
By using described ambient image as the input parameter of epidemic situation identification model, obtain the described epidemic disease of output
Feelings analysis result.
In one embodiment, described method also includes:
Obtain instruction and the ambient image sample of epidemic situation occurs；
According to back-propagation algorithm, described ambient image sample is trained, obtains described epidemic situation identification mould
Type.
In one embodiment, described target terminal include following at least one: epidemic situation associated terminal, position
Terminal in described target area, being positioned at the terminal of close region, described close region is different from institute
State target area, and and described target area between distance less than preset distance.
In one embodiment, described control target terminal output epidemic situation warning message, including: control institute
State target terminal in destination application, issue described epidemic situation warning message.
In one embodiment, the ambient image of described acquisition target area, including: by uploading
Image carries out image recognition, obtains the ambient image of described target area.
In one embodiment, described epidemic situation includes animal epidemics.
Second aspect, it is provided that a kind of epidemic monitoring device, including:
First acquisition module, for obtaining the ambient image of target area；
Analyze module, carry out prevalence analysis for the ambient image obtained according to described first acquisition module,
Obtain prevalence analysis result；
Control module, in response to determining that the prevalence analysis result instruction that described analysis module obtains occurs
Epidemic situation, controls target terminal output epidemic situation warning message, and described epidemic situation warning message indicates described target area
There is epidemic situation in territory.
In one embodiment, described analysis module, for by knowing described ambient image as epidemic situation
The input parameter of other model, obtains the described prevalence analysis result of output.
In one embodiment, described device also includes:
, there is the ambient image sample of epidemic situation for obtaining instruction in the second acquisition module；
Training module, for the ambient image obtained described second acquisition module according to back-propagation algorithm
Sample is trained, and obtains described epidemic situation identification model.
In one embodiment, described target terminal include following at least one: epidemic situation associated terminal, position
Terminal in described target area, being positioned at the terminal of close region, described close region is different from institute
State target area, and and described target area between distance less than preset distance.
In one embodiment, described control module, it is used for controlling described target terminal in intended application journey
Sequence is issued described epidemic situation warning message.
In one embodiment, described first acquisition module, for by carrying out image to the image uploaded
Identify, obtain the ambient image of described target area.
In one embodiment, described epidemic situation includes animal epidemics.
The third aspect, it is provided that a kind of epidemic monitoring device, including:
Processor；
For storing the memorizer of processor executable；
Wherein, described processor is configured to:
Obtain the ambient image of target area；
Carry out prevalence analysis according to described ambient image, obtain prevalence analysis result；
In response to determining that the instruction of described prevalence analysis result occurs epidemic situation, control target terminal output epidemic situation alert
Announcement information, described epidemic situation warning message indicates described target area that epidemic situation occurs.
Embodiment of the disclosure that the technical scheme of offer can include following beneficial effect: obtain target area
Ambient image；Carry out prevalence analysis according to ambient image, obtain prevalence analysis result；In response to determining
There is epidemic situation in the instruction of prevalence analysis result, controls target terminal output epidemic situation warning message, epidemic situation warning letter
There is epidemic situation in breath instruction target area.So can divide by the ambient image of target area is carried out epidemic situation
Analysis, obtains analysis result, and after determine generation epidemic situation according to analysis result, controls target terminal timely
Output epidemic situation warning message, in order to prevention and control measure can be taked in time, prevent epidemic situation from magnifying.
It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe
, the disclosure can not be limited.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meet these public affairs
The embodiment opened, and for explaining the principle of the disclosure together with description.
Fig. 1 is the flow chart according to a kind of epidemic monitoring method shown in an exemplary embodiment.
Fig. 2 is the flow chart according to another the epidemic monitoring method shown in an exemplary embodiment.
Fig. 3 is the flow chart according to another the epidemic monitoring method shown in an exemplary embodiment.
Fig. 4 is the flow chart according to another the epidemic monitoring method shown in an exemplary embodiment.
Fig. 5 is the block diagram according to a kind of epidemic monitoring device shown in an exemplary embodiment；
Fig. 6 is the block diagram according to another the epidemic monitoring device shown in an exemplary embodiment；
Fig. 7 is the block diagram according to a kind of device for epidemic monitoring shown in an exemplary embodiment；
Fig. 8 is for the frame of the device of epidemic monitoring according to another shown in an exemplary embodiment
Figure.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.Following
When description relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous
Key element.Embodiment described in following exemplary embodiment does not represent the institute consistent with the disclosure
There is embodiment.On the contrary, they only with as appended claims describes in detail, the one of the disclosure
The example of the apparatus and method that a little aspects are consistent.
Fig. 1 is the flow chart according to a kind of epidemic monitoring method shown in an exemplary embodiment.Such as Fig. 1 institute
Showing, epidemic monitoring method may be used in terminal electronic device, and wherein, terminal electronic device can be to move
Dynamic terminal such as mobile phone, PC or panel computer etc., comprise the following steps S101-S103:
In step S101, obtain the ambient image of target area.
Wherein, target area is certain territorial scope of pending epidemic monitoring, for example, it is possible to be animal
Plant, oneself poultry living area of peasant household, zoo or botanical garden, vegetable garden, orchard etc. need into
The specific region of row epidemic monitoring.The size of target area can be according to the requirement to monitoring result accuracy
Being set, the scope of target area arranges less in principle, it is possible to the monitoring result obtained relatively is as the criterion
Really；And in the case of the scope in target area is arranged relatively greatly, owing to environmental aspect is complex, easily
Cause monitoring result that bigger error or mistake occur.
Wherein, ambient image both can be image, it is also possible to for multiple image overlay or combine
Video, in order to state facility, illustrates with image in following example, and those skilled in the art are easy
Know, all relate to image in place of, its content can also be video.In ambient image (or ambient video)
In include object to be monitored, such as animal or plant.If object to be monitored is animal, then gather
Ambient image, animal image under the rest states such as rest, sleep can be included, it is also possible to include
Animal food under different living space, occasions, the activity situation image such as play, thus the most anti-
Reflect the animation of animal.Additionally, ambient image can also include the animal disease when various epidemic situations occur
Shape performance image, such as tired mind, dispirited, do not like feed, drowsiness, it is various that sleep state is the best etc.
External morbid state performance, thus occur according to comprehensive descision animals such as animal weather, external status and appearance
Epidemic situation classification, the epidemic information such as the order of severity.If object to be monitored is plant, then the environment gathered
Image can include the environmental informations such as the soil types of planting plants, dry and wet degree, illumination condition, additionally,
The plant external Symptoms image when there is different epidemic situation can also being included, such as, disease pest epidemic disease occurring
During feelings, the outward manifestation figures such as plant leaf turns to be yellow, dries up, and branch is chapped, and the fruit opposite sex, color and luster are the best
Picture such that it is able to according to the ambient conditions residing for plant and outward manifestation, the epidemic situation that synthetic determination is occurred
The information such as classification, the order of severity.
It should be noted that the epidemic situation in disclosure embodiment both can be animal epidemics, it is also possible to for planting
Thing epidemic situation, for convenience of description, illustrates with animal epidemics in embodiment.Wherein, involved dynamic
Thing both can be the birdss such as chicken, duck, goose, it is also possible to for domestic animal such as pig, cattle, sheep, it is also possible to for fish,
The aquatic animals such as shrimp, Eriocheir sinensis, shellfish.Wherein, the breeding way of animal can be peasant family autotrophy, it is possible to
Thinking plant's batch cultivation, this is not specifically limited by the disclosure.
In step s 102, carry out prevalence analysis according to ambient image, obtain prevalence analysis result.
Wherein it is possible to below using conventional general image or video analysis, treatment technology or using
Epidemic situation identification model in embodiment carries out prevalence analysis to ambient image, and true according to prevalence analysis result
Determine whether epidemic situation occurs.When using epidemic situation identification model that ambient image is carried out prevalence analysis, can adjust
It is right to come with the epidemic situation identification model of the ambient image sample precondition that epidemic situation is occurred by a large amount of instructions
Epidemic situation is analyzed.Prevalence analysis result can include that epidemic situation classification, the epidemic situation was severe degree, epidemic situation relate to
Scope, geographical position residing for epidemic situation, and the epidemic information such as the Prevention and cure of epidemic situation measure taked of suggestion, root
One of which can be selected or multinomial as prevalence analysis result according to being actually needed.
In step s 103, in response to determining that the instruction of prevalence analysis result occurs epidemic situation, target is controlled eventually
End output epidemic situation warning message, there is epidemic situation in epidemic situation warning message instruction target area.
In the present embodiment, after obtaining prevalence analysis result according to step S102, if prevalence analysis knot
There is epidemic situation in fruit instruction, then control target terminal equipment output epidemic situation warning message in target area, thus
Relevant unit or personnel can be reminded to take measures in time to carry out Prevention and cure of epidemic situation.
Wherein, the mode of target terminal output epidemic situation warning message is varied, such as can be by sending
Note, send caution sound, broadcast circular epidemic situation situation or by application program automatically issue epidemic situation remind
The any-modes such as information, the concrete issue using which kind of mode to carry out epidemic situation warning message, can be according to reality
Border needs to select, and disclosure embodiment does not limits.
Wherein, the content of epidemic situation warning message may include that the particular geographic location information of epidemic situation, such as warp
Latitude information, address information, the plant related to or the title etc. of peasant household, degree that the epidemic situation was severe, make
Become consequence, the relevant information such as the kind of epidemic disease, title.
Having the beneficial effects that of the present embodiment: by the ambient image of target area is carried out prevalence analysis,
Obtain analysis result, and after determine generation epidemic situation according to analysis result, control target terminal and export in time
Epidemic situation warning message, in order to can take prevention and control measure in time, effectively prevents epidemic situation from magnifying.
In order to improve the accuracy of epidemic situation identification, in one embodiment, as in figure 2 it is shown, according to environment
Image is analyzed, and obtains prevalence analysis as a result, it is possible to comprise the following steps S201:
In step s 201, by using ambient image as the input parameter of epidemic situation identification model, obtain
The prevalence analysis result of output.
Wherein, epidemic situation identification model can be decent by gathering the environment map of a large amount of instruction generation epidemic situation in advance
This training forms, so that it is guaranteed that the accuracy of epidemic situation identification model.In use, by target area
Ambient image as parameter input epidemic situation identification model, i.e. can get prevalence analysis result such that it is able to
Quickly and easily ambient image is carried out prevalence analysis, and ensure that precision of analysis.
When epidemic situation is animal epidemics, can include animal activity condition information in ambient image, animal lives
Dynamic condition information can be animal eat food, sleep, play, information under the arbitrarily activity situation such as stroll,
By these information it can be seen that the condition of animal and the mental status are the most normal, and then judge animal
The most sick or occur epidemic situation.
In the present embodiment, the image or the video that comprise animal activity condition information can be that animal is upper
Stating the image data data that carrying out under activity situation takes pictures or record a video obtains, these image data data can
To be stored directly in photographing device or in other data storage devices, and it is uploaded to Cloud Server,
To carry out image recognition.
Such as, when using graphical representation animal activity condition information, can be to animal in a certain activity situation
Under certain carry out in a flash crawl of taking pictures, use this photo to represent the movable condition information of animal.Wherein,
The animal activity condition information of representation of video shot is with the difference of the animal activity condition information of graphical representation:
Video can be regarded as the ordered set of multiple images, when video is analyzed, be equivalent to multiple
Image is analyzed.
Wherein, when determining whether to occur animal epidemics according to analysis result, can be directly according to analysis result
Draw the conclusion whether animal epidemics occurs, it is also possible to combine current season, temperature, air humidity,
The external environmental informations such as environmental aspect residing for animal, sanitation degree information comprehensively determine whether to occur dynamic
Thing epidemic situation, to promote the accuracy judging animal epidemics.
Just use below epidemic situation identification model to ambient image comprises animal activity condition information image or
The process that person's video is analyzed briefly is introduced.
In one embodiment, image is analyzed by the epidemic situation identification model using training in advance to obtain,
Obtain analysis result, may comprise steps of:
Step S1: the animal activity condition information in image is carried out feature extraction.
If image comprises multiple animal, then need each animal activity condition information is carried out spy respectively
Levy extraction, the activity situation such as wherein, the feature of extraction is this animal eating food, sleep, play, stroll
Under performance characteristic, such as, limb action, the activity frequency, active duration etc..
Step S2: the default feature of the feature of extraction with epidemic situation identification model is mated.
Wherein, the default of epidemic situation identification model is characterized as when animal epidemics occurs, the corresponding external disease of animal
The performance characteristics such as shape, such as, animal appearance is sleepy, do not like activity, do not like the situations such as diet.
Step S3: judge whether that the match is successful；If the match is successful, then for there is animal epidemic disease in analysis result
Feelings；Otherwise, for there is not animal epidemics in analysis result.
In another embodiment, the epidemic situation identification model that obtains of training in advance is used video to be carried out point
Analysis, obtains analysis result, may comprise steps of:
Step S11: be multiple ordered graph pictures by video slicing.
Owing to video can be regarded as the ordered set of multiple images, therefore, before video is analyzed,
Needing video slicing is multiple ordered graph pictures, in order to be analyzed each image respectively.
Step S12: respectively the animal activity condition information in multiple ordered graph pictures is carried out feature extraction.
Wherein, the method extracted the animal activity condition information in every ordered graph picture is similar to above-mentioned step
Rapid S1.
Step S13: respectively the feature of extraction is mated one by one with the default feature identifying model.
Wherein, the process of characteristic matching is similar to above-mentioned steps S2.
Step S14: if the match is successful, then for there is animal epidemics in the analysis result of this image；Otherwise,
For there is not animal epidemics in the analysis result of this image.
Wherein it is possible to every image to be respectively obtained an analysis result.
Step S15: the amount of images that the match is successful is added up.
Wherein, both the amount of images that the match is successful directly can be counted, it is also possible to not mating into
The amount of images of merit counts, in the case of known image sum, by simply asking difference to calculate
To the amount of images that the match is successful.
Step S16: judge whether the amount of images that the match is successful exceedes predetermined number；If it exceeds preset
The images match success of quantity, then for there is animal epidemics in the analysis result of this video；Otherwise, this video
Analysis result for there is not animal epidemics.
Whether exceed predetermined number by the amount of images that the match is successful, obtain the unitary analysis result of video,
Then perform step S103, control target terminal output epidemic situation warning message, wherein, epidemic situation warning message
Indicate and epidemic situation occurs in target area.
In the present embodiment, if epidemic situation is animal epidemics, after determining generation animal epidemics, control target
The epidemic situation warning message of terminal output can include the image of animal epidemics or video association occur
Geographical location information.Wherein, each image comprising animal activity condition information and video when storage,
Association will store this image or the shooting source place of video, that is, the animal institute in image or video
The geographical location information at place, thus after the animal generation animal epidemics in determining which image or video,
The geographical position that animal epidemics occurs can be known easily.Determining the geographical position that animal epidemics occurs
After, need superior department, hygiene department or peasant household around, plant as early as possible to send animal epidemics
Warning information, in order to related personnel checks whether oneself domesticated animal has epidemic situation to occur in time, and in time
Take prevention and control measure, in order to avoid epidemic situation extension.
Having the beneficial effects that of the present embodiment: by ambient image is joined as the input of epidemic situation identification model
Number, the prevalence analysis of acquisition output, as a result, it is possible to obtain epidemic situation recognition result quickly and easily, operates
Convenient, intelligence degree height, and ensure that precision of analysis.
In order to promote the accuracy of epidemic situation recognition result further, in one embodiment, as it is shown on figure 3,
Above-mentioned epidemic monitoring method, it is also possible to further comprising the steps S202-S203:
In step S202, obtain instruction and the ambient image sample of epidemic situation occurs.
Wherein, the ambient image sample type coverage as far as possible of acquisition is wide such that it is able to for not
Congener animal, plant occur different manifestations during corresponding epidemic situation to make a distinction, so that training
The epidemic situation kind of epidemic situation identification Model Identification is more comprehensively, accurately, using the teaching of the invention it is possible to provide epidemic situation recognition result bag
Containing more information content.
In step S203, according to back-propagation algorithm, ambient image sample is trained, obtains epidemic disease
Feelings identification model.
Wherein, back-propagation algorithm (Back-propagation algorithm is called for short BP algorithm) is one
Plant supervised learning algorithm, can be used to train epidemic situation identification model.This epidemic situation identification model is degree of depth convolution
Neural network model, has the superiority of uniqueness in terms of image, the analysis of video, process, it is possible to really
Protect analysis result and there is higher accuracy.
Epidemic situation identification model can be trained easily by above-mentioned steps S202 and step S203, adopt
When carrying out epidemic situation identification with this epidemic situation identification model, it is possible to ensure the accuracy of epidemic situation recognition result.
It should be noted that the ambient image specimen types that step S202 gathers is the most, quantity is the most,
The scope covered is the most extensive, it is possible to the epidemic situation kind of identification is the most, result is the most accurate, correspondingly, and ring
The collecting work amount of border image pattern is the biggest, training process is the most complicated, and cycle of training is the longest.Wherein,
Epidemic situation identification model is after training completes, it is possible to after carrying out basic epidemic situation identification, can be iterated follow-up
Computing, thus step up the relevant parameters such as the performance of epidemic situation identification model, recognition efficiency, accuracy rate,
That is, the epidemic situation identification model training used in the present embodiment can't be fully cured, along with rear after completing
The increase of continuous ambient image sample, the function of epidemic situation identification model also can be more perfect.
Hereinafter ambient image sample packages is contained the training method of the epidemic situation identification model of animal epidemics sample image
It is briefly described as follows:
In step S111, obtain the animal epidemics sample image preset.
Wherein, the training data of training epidemic situation identification model is multiple animal epidemics sample graphs preset
Picture, these sample images should be tried one's best and be covered all animal epidemics having been found that all sidedly, so that it is guaranteed that training
Various animal epidemics can be identified by the identification model gone out.It can be seen that move from sample image
There is the symptom in the case of various epidemic situations, performance in thing, needs according to this sample after obtaining sample image
The data such as epidemic situation kind, title are labeled by the symptom of animal, performance in image, and data marked
Journey both can be by manually having carried out, it is also possible by means computer is realized.Such as, use manually to enter
During rower note, by having the personnel of abundant animal feeding experience, or animal various performance spy can be familiar with
Property personnel serve as, these personnel be familiar with animal normal condition, sick, there is the table under the state such as epidemic situation
Show, and know the outward manifestation of various animal epidemics, obtaining the figure comprising animal activity condition information
After Xiang, it is possible to accurately judge whether this animal occurs epidemic situation and generation according to the performance of animal in image
For which kind of epidemic situation.Wherein, the difference that animal epidemics is the most sick with animal, can be by there is special disease
The quantity of the animal of shape, scope etc. are embodied in, and such as, single animal occurs not liking diet, sleepy disease
Shape, then it is assumed that this animal may be sick；And there is not liking of same or approximation in multiple animal the most simultaneously
Diet, the symptom such as sleepy, then it is assumed that animal epidemics may be had to occur.In data annotation process, mark
Personnel or computer can be distinguished epidemic situation according to the feature of labeled data or the most sick are labeled.
After the data of multiple animal epidemics sample images are labeled, sample image can be carried out epidemic situation knowledge
Other model training.
In step S112, utilize back-propagation algorithm that sample image is trained, obtain epidemic situation and know
Other model.
Having the beneficial effects that of the present embodiment: the ambient image sample of epidemic situation, root occur by obtaining instruction
According to back-propagation algorithm, ambient image sample is trained, obtains epidemic situation identification model, it is possible to ensure instruction
The epidemic situation identification model practiced has higher recognition accuracy, obtains epidemic situation recognition result quickly and easily,
And ensure that the accuracy of recognition result.
In one embodiment, above-mentioned target terminal can include following at least one: epidemic situation associated terminal,
It is positioned at the terminal of target area, is positioned at the terminal of close region, wherein, close region different target
Region, and and target area between distance less than preset distance.
Wherein, in epidemic situation associated terminal can be peasant household, plant, orchard, garden wait monitoring range
Terminal, these terminals are bound with epidemic monitoring facility in advance, when there is epidemic situation, control this epidemic situation pass
Connection terminal output epidemic situation warning message；Terminal in target area then can be according to the target area arranged
Size set, when mobile terminal is in the coverage of this target area, can when epidemic situation occurs,
Output epidemic situation warning message；Terminal in close region, then can be according to the size of the target area set
Determining with preset distance, such as, arranging preset distance is 500 meters, then stretch out in target area
Mobile terminal in the range of 500 meters, can send epidemic situation warning message when there is epidemic situation.Logical according to intending
Know the difference of object, target terminal can be set in above-mentioned terminal one or more, it is thus possible to
The target terminal enough controlled in different range sends epidemic situation warning message.
Having the beneficial effects that of the present embodiment: by different terminals is set to target terminal, it is possible to right
Personnel in different range carry out epidemic situation warning, thus beneficially Regional Linking, common implementing epidemic situation monitors,
Effectively prevent epidemic situation from magnifying.
Issue in order to ensure epidemic situation warning message is more intelligent, in another embodiment, controls
Target terminal output epidemic situation warning message, including: control target terminal in destination application, issue epidemic disease
Feelings warning message.
In the present embodiment, in destination application, issue epidemic situation warning message by controlling target terminal,
The application program installed on mobile terminal can be made full use of, intelligently issue epidemic situation warning message, really
Protect epidemic situation warning message propagate have higher ageing, it is possible within a short period of time obtains fast propagation.
Wherein, destination application can be the most general social software, such as rice chat, QQ, wechat,
Microblogging etc..
Having the beneficial effects that of the present embodiment: issue epidemic disease in destination application by controlling target terminal
Feelings warning message, it is possible to make full use of the information spreading function of information age related application, it is ensured that
The issue of epidemic situation warning message is more intelligent, and the propagation of epidemic situation warning message has higher ageing.
In one embodiment, as shown in Figure 4, obtain target area ambient image, can by with
Lower step S401 realizes.
In step S401, by the image uploaded being carried out image recognition, obtain the ring of target area
Border image.
Wherein, the image of the target area of collection can be uploaded to Cloud Server by unified, is known by image
Not, the ambient image of target area is obtained.The image gathered both can be the figure shot by official channel
Picture, it is also possible to the image shot voluntarily for outdoor activities fan, it is also possible to by believing disclosed in the Internet
The image obtained in breath data, that is, the source of image is relatively broad, these images are all uploaded to clothes
Business device, thus guarantee to reflect from different perspectives, comprehensively, objectively ambient conditions.
Having the beneficial effects that of the present embodiment: by the image uploaded carries out image recognition, obtains target
The ambient image in region, it is possible to obtain the ambient image of target area easily, ambient image wide material sources,
So that the environmental information reflected is more objective, comprehensive.
In the another embodiment of the disclosure, it is provided that a kind of epidemic monitoring method, comprise the following steps:
In step S401, by the image uploaded being carried out image recognition, obtain the ring of target area
Border image；
In step s 201, by using ambient image as the input parameter of epidemic situation identification model, obtain
The prevalence analysis result of output；
In step s 103, in response to determining that the instruction of prevalence analysis result occurs epidemic situation, target is controlled eventually
End output epidemic situation warning message, there is epidemic situation in epidemic situation warning message instruction target area.
In the another embodiment of the disclosure, it is provided that a kind of epidemic monitoring method, comprise the following steps:
In step S101, obtain the ambient image of target area；
In step s 201, by using ambient image as the input parameter of epidemic situation identification model, obtain
The prevalence analysis result of output；
In step s 103, in response to determining that the instruction of prevalence analysis result occurs epidemic situation, target is controlled eventually
End output epidemic situation warning message, there is epidemic situation in epidemic situation warning message instruction target area.
In the another embodiment of the disclosure, it is provided that a kind of epidemic monitoring method, comprise the following steps:
In step S401, by the image uploaded being carried out image recognition, obtain the ring of target area
Border image；
In step S202, obtain instruction and the ambient image sample of epidemic situation occurs；
In step S203, according to back-propagation algorithm, ambient image sample is trained, obtains epidemic disease
Feelings identification model；
In step s 201, by using ambient image as the input parameter of epidemic situation identification model, obtain
The prevalence analysis result of output；
In step s 103, in response to determining that the instruction of prevalence analysis result occurs epidemic situation, target is controlled eventually
End output epidemic situation warning message, there is epidemic situation in epidemic situation warning message instruction target area.
Following a kind of device embodiment for the disclosure, may be used for performing method of disclosure embodiment.
Disclosure embodiment provides a kind of epidemic monitoring device, as it is shown in figure 5, include:
First acquisition module 501, for obtaining the ambient image of target area；
Analyzing module 502, the ambient image for obtaining according to the first acquisition module 501 carries out epidemic situation and divides
Analysis, obtains prevalence analysis result；
Control module 503, for analyzing, in response to determining, the prevalence analysis result instruction that module 502 obtains
Epidemic situation occurring, controls target terminal output epidemic situation warning message, epidemic situation warning message instruction target area is sent out
Raw epidemic situation.
Having the beneficial effects that of the present embodiment: obtained the ambient image of target area by the first acquisition module,
By analyzing module, the ambient image of target area is carried out prevalence analysis, obtain analysis result, and at root
After determining generation epidemic situation according to analysis result, control target terminal by control module and export epidemic situation warning in time
Information, in order to can take prevention and control measure in time, effectively prevents epidemic situation from magnifying.
Wherein, above-mentioned analysis module 502, for by using defeated as epidemic situation identification model of ambient image
Enter parameter, obtain the prevalence analysis result of output.
Having the beneficial effects that of the present embodiment: by analyzing module using ambient image as epidemic situation identification model
Input parameter, obtain output prevalence analysis as a result, it is possible to obtain quickly and easily epidemic situation identification knot
Really, operation is convenient, intelligence degree is high, and ensure that precision of analysis.
In another embodiment, as shown in Figure 6, above-mentioned epidemic monitoring device can also include:
, there is the ambient image sample of epidemic situation for obtaining instruction in the second acquisition module 601；
Training module 602, for the environment obtained the second acquisition module 601 according to back-propagation algorithm
Image pattern is trained, and obtains epidemic situation identification model.
Having the beneficial effects that of the present embodiment: obtain instruction by the second acquisition module and the environment of epidemic situation occurs
Image pattern, is trained ambient image sample according to back-propagation algorithm by training module, obtains
Epidemic situation identification model, it is possible to ensure that the epidemic situation identification model of training has higher recognition accuracy, conveniently,
Obtain epidemic situation recognition result quickly, and ensure that the accuracy of recognition result.
Wherein, above-mentioned target terminal include following at least one: epidemic situation associated terminal, be positioned at target area
In terminal, be positioned at the terminal of close region, close region is different from target area, and and target area
Distance between territory is less than preset distance.
Having the beneficial effects that of the present embodiment: by different terminals is set to target terminal, it is possible to right
Personnel in different range carry out epidemic situation warning, thus beneficially Regional Linking, common implementing epidemic situation monitors,
Effectively prevent epidemic situation from magnifying.
In the another embodiment of the disclosure, above-mentioned control module 503, it is used for controlling target terminal
Epidemic situation warning message is issued in destination application.
Having the beneficial effects that of the present embodiment: issue epidemic disease in destination application by controlling target terminal
Feelings warning message, it is possible to make full use of the information spreading function of information age related application, it is ensured that
The issue of epidemic situation warning message is more intelligent, and the propagation of epidemic situation warning message has higher ageing.
Wherein, above-mentioned first acquisition module 501, it is used for by the image uploaded is carried out image recognition,
Obtain the ambient image of target area.
Having the beneficial effects that of the present embodiment: by the image uploaded carries out image recognition, obtains target
The ambient image in region, it is possible to obtain the ambient image of target area easily, ambient image wide material sources,
So that the environmental information reflected is more objective, comprehensive.
Wherein, the above-mentioned epidemic situation in disclosure embodiment includes animal epidemics.
Being below another device embodiment of the disclosure, this epidemic monitoring device includes:
Processor；
For storing the memorizer of processor executable；
Wherein, processor is configured to:
Obtain the ambient image of target area；
Carry out prevalence analysis according to ambient image, obtain prevalence analysis result；
In response to determining that the instruction of prevalence analysis result occurs epidemic situation, control target terminal output epidemic situation warning letter
Breath, there is epidemic situation in epidemic situation warning message instruction target area.
Having the beneficial effects that of the present embodiment: by the ambient image of target area is carried out prevalence analysis,
Obtain analysis result, and after determine generation epidemic situation according to analysis result, control target terminal and export in time
Epidemic situation warning message, in order to can take prevention and control measure in time, effectively prevents epidemic situation from magnifying.
Fig. 7 is the block diagram according to a kind of device for epidemic monitoring shown in an exemplary embodiment, should
Device is applicable to terminal unit.Such as, device 700 can be mobile phone, computer, digital broadcasting
Terminal, messaging devices, game console, tablet device, armarium, body-building equipment, individual
Digital assistants etc..
Device 700 can include following one or more assembly: processes assembly 702, memorizer 704, electricity
Power assembly 706, multimedia groupware 708, audio-frequency assembly 710, input/output (I/O) interface 712,
Sensor cluster 714, and communications component 716.
Process assembly 702 and generally control the integrated operation of device 700, such as with display, call,
The operation that data communication, camera operation and record operation are associated.Process assembly 702 and can include one
Or multiple processor 720 performs instruction, to complete all or part of step of above-mentioned method.Additionally,
Process assembly 702 and can include one or more module, it is simple to process between assembly 702 and other assemblies
Mutual.Such as, process assembly 702 and can include multi-media module, to facilitate multimedia groupware 708
And process between assembly 702 mutual.
Memorizer 704 is configured to store various types of data to support the operation at device 700.This
The example of a little data includes any application program for operation on device 700 or the instruction of method, connection
It is personal data, telephone book data, message, picture, video etc..Memorizer 704 can be by any type
Volatibility or non-volatile memory device or combinations thereof realize, such as static RAM
(SRAM), Electrically Erasable Read Only Memory (EEPROM), erasable programmable is read-only to be deposited
Reservoir (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic is deposited
Reservoir, flash memory, disk or CD.
The various assemblies that electric power assembly 706 is device 700 provide electric power.Electric power assembly 706 can include
Power-supply management system, one or more power supplys, and other with generate for device 700, manage and distribute electricity
The assembly that power is associated.
One output interface of offer that multimedia groupware 708 is included between described device 700 and user
Screen.In certain embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).
If screen includes that touch panel, screen may be implemented as touch screen, to receive the input from user
Signal.Touch panel includes that one or more touch sensor touches with sensing, slides and on touch panel
Gesture.Described touch sensor can not only sense touch or the border of sliding action, but also detects
The persistent period relevant to described touch or slide and pressure.In certain embodiments, multimedia group
Part 708 includes a front-facing camera and/or post-positioned pick-up head.When device 700 is in operator scheme, as
When screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive the multimedia of outside
Data.Each front-facing camera and post-positioned pick-up head can be a fixing optical lens system or have
Focal length and optical zoom ability.
Audio-frequency assembly 710 is configured to output and/or input audio signal.Such as, audio-frequency assembly 710 wraps
Include a mike (MIC), when device 700 is in operator scheme, as call model, logging mode and
During speech recognition mode, mike is configured to receive external audio signal.The audio signal received can
To be further stored at memorizer 704 or to send via communications component 716.In certain embodiments,
Audio-frequency assembly 710 also includes a speaker, is used for exporting audio signal.
I/O interface 712 provides interface, above-mentioned periphery for processing between assembly 702 and peripheral interface module
Interface module can be keyboard, puts striking wheel, button etc..These buttons may include but be not limited to: homepage is pressed
Button, volume button, start button and locking press button.
Sensor cluster 714 includes one or more sensor, for providing various aspects for device 700
State estimation.Such as, what sensor cluster 714 can detect device 700 opens/closed mode,
The relative localization of assembly, the most described assembly is display and the keypad of device 700, sensor cluster
714 position changes that can also detect device 700 or 700 1 assemblies of device, user and device 700
The presence or absence of contact, device 700 orientation or acceleration/deceleration and the variations in temperature of device 700.Pass
Sensor assembly 714 can include proximity transducer, is configured to when not having any physical contact examine
The existence of object near surveying.Sensor cluster 714 can also include optical sensor, such as CMOS or CCD
Imageing sensor, for using in imaging applications.In certain embodiments, this sensor cluster 714
Can also include that acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature pass
Sensor.
Communications component 716 is configured to facilitate wired or wireless mode between device 700 and other equipment
Communication.Device 700 can access wireless network based on communication standard, such as WiFi, 2G or 3G, or
Combinations thereof.In one exemplary embodiment, communication component 716 via broadcast channel receive from
The broadcast singal of external broadcasting management system or broadcast related information.In one exemplary embodiment, institute
State communication component 716 and also include near-field communication (NFC) module, to promote junction service.Such as, exist
NFC module can be based on RF identification (RFID) technology, Infrared Data Association (IrDA) technology, super
Broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 700 can be by one or more application specific integrated circuits
(ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), able to programme patrol
Collect device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor
Or other electronic components realize, it is used for performing said method.
In the exemplary embodiment, a kind of non-transitory computer-readable storage including instruction is additionally provided
Medium, such as, include the memorizer 704 of instruction, and above-mentioned instruction can be held by the processor 720 of device 700
Row is to complete said method.Such as, described non-transitory computer-readable recording medium can be ROM,
Random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..
Fig. 8 is the block diagram according to a kind of device for epidemic monitoring shown in an exemplary embodiment.Example
As, device 800 may be provided in a server.Device 800 includes processing assembly 822, and it enters one
Step includes one or more processor, and by the memory resource representated by memorizer 832, is used for depositing
Storage can be by the instruction of the execution of processing component 822, such as application program.In memorizer 832, storage should
With program can include one or more each corresponding to one group instruction module.Additionally, place
Reason assembly 822 is configured to perform instruction, to perform said method.
Device 800 can also include that a power supply module 826 is configured to perform the power supply pipe of device 800
Reason, a wired or wireless network interface 850 is configured to be connected to device 800 network, and one
Input and output (I/O) interface 858.Device 800 can operate based on the operation being stored in memorizer 832
System, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM,
FreeBSDTM or similar.
Those skilled in the art, after considering description and putting into practice disclosure disclosed herein, will readily occur to this
Other embodiment disclosed.The application is intended to any modification, purposes or the adaptability of the disclosure
Change, these modification, purposes or adaptations are followed the general principle of the disclosure and include these public affairs
Open undocumented common knowledge in the art or conventional techniques means.Description and embodiments only by
Being considered as exemplary, the true scope of the disclosure and spirit are pointed out by claim below.
It should be appreciated that the disclosure be not limited to described above and illustrated in the accompanying drawings accurately
Structure, and various modifications and changes can carried out without departing from the scope.The scope of the present disclosure is only by institute
Attached claim limits.
Claims (15)
1. an epidemic monitoring method, it is characterised in that including:
Obtain the ambient image of target area；
Carry out prevalence analysis according to described ambient image, obtain prevalence analysis result；
In response to determining that the instruction of described prevalence analysis result occurs epidemic situation, control target terminal output epidemic situation alert
Announcement information, described epidemic situation warning message indicates described target area that epidemic situation occurs.
Method the most according to claim 1, it is characterised in that described carry out according to described ambient image
Analyze, obtain prevalence analysis result, including:
By using described ambient image as the input parameter of epidemic situation identification model, obtain the described epidemic disease of output
Feelings analysis result.
Method the most according to claim 2, it is characterised in that described method also includes:
Obtain instruction and the ambient image sample of epidemic situation occurs；
According to back-propagation algorithm, described ambient image sample is trained, obtains described epidemic situation identification mould
Type.
Method the most according to claim 1, it is characterised in that described target terminal include with down to
One item missing: epidemic situation associated terminal, be positioned at the terminal of described target area, be positioned at the end of close region
End, described close region is different from described target area, and and described target area between distance be less than
Preset distance.
Method the most according to claim 1, it is characterised in that described control target terminal output epidemic disease
Feelings warning message, including:
Control described target terminal in destination application, issue described epidemic situation warning message.
Method the most according to claim 1, it is characterised in that the environment of described acquisition target area
Image, including:
By the image uploaded is carried out image recognition, obtain the ambient image of described target area.
7. according to the method described in any one of claim 1 to 6, it is characterised in that described epidemic situation includes
Animal epidemics.
8. an epidemic monitoring device, it is characterised in that including:
First acquisition module, for obtaining the ambient image of target area；
Analyze module, carry out prevalence analysis for the ambient image obtained according to described first acquisition module,
Obtain prevalence analysis result；
Control module, in response to determining that the prevalence analysis result instruction that described analysis module obtains occurs
Epidemic situation, controls target terminal output epidemic situation warning message, and described epidemic situation warning message indicates described target area
There is epidemic situation in territory.
Device the most according to claim 8, it is characterised in that: described analysis module, for by inciting somebody to action
Described ambient image, as the input parameter of epidemic situation identification model, obtains the described prevalence analysis result of output.
Device the most according to claim 9, it is characterised in that described device also includes:
, there is the ambient image sample of epidemic situation for obtaining instruction in the second acquisition module；
Training module, for the ambient image obtained described second acquisition module according to back-propagation algorithm
Sample is trained, and obtains described epidemic situation identification model.
11. devices according to claim 8, it is characterised in that described target terminal includes following
At least one: epidemic situation associated terminal, it is positioned at the terminal of described target area, is positioned at close region
Terminal, described close region is different from described target area, and and described target area between distance little
In preset distance.
12. devices according to claim 8, it is characterised in that: described control module, it is used for controlling
Make described target terminal in destination application, issue described epidemic situation warning message.
13. devices according to claim 8, it is characterised in that: described first acquisition module, use
In by the image uploaded is carried out image recognition, obtain the ambient image of described target area.
14. according to Claim 8 to the device described in 13 any one, it is characterised in that described epidemic situation bag
Include animal epidemics.
15. 1 kinds of epidemic monitoring devices, it is characterised in that including:
Processor；
For storing the memorizer of processor executable；
Wherein, described processor is configured to:
Obtain the ambient image of target area；
Carry out prevalence analysis according to described ambient image, obtain prevalence analysis result；
In response to determining that the instruction of described prevalence analysis result occurs epidemic situation, control target terminal output epidemic situation warning letter
Breath, described epidemic situation warning message indicates described target area that epidemic situation occurs.
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| CN108812407A (en) * | 2018-05-23 | 2018-11-16 | 平安科技（深圳）有限公司 | Animal health status monitoring method, equipment and storage medium |
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| CN111415121B (en) * | 2020-03-31 | 2023-08-22 | 深圳前海微众银行股份有限公司 | Cargo processing method, equipment and storage medium based on epidemic situation protection |
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| CN111816323A (en) * | 2020-07-27 | 2020-10-23 | 广州驰兴通用技术研究有限公司 | Smart city management method and system based on Internet of things |
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