CN111261301A - Big data infectious disease prevention and control method and system - Google Patents
Big data infectious disease prevention and control method and system Download PDFInfo
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Abstract
The invention discloses a big data infectious disease prevention and control method and a big data infectious disease prevention and control system, wherein the method comprises the following steps: acquiring identity information of a first virus carrier which is determined to carry the virus; determining to obtain an artificial potential virus carrier within a set range of distance from the first virus carrier in the first scene image; and acquiring the identity information and the communication mode information of the potential virus carrier in a first database, and sending prevention and control information to the potential virus carrier according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carrier in time. The method can accurately find out the suspects (potential virus carriers) carried by the viruses, accurately check and isolate the potential virus carriers to prevent and control the spread of infectious diseases, can pertinently, quickly, accurately and effectively prevent and control infectious diseases, and prevent the human safety from being harmed due to uncontrollable outbreak of the infectious diseases.
Description
Technical Field
The invention relates to the technical field of big data infectious disease prevention and control, in particular to a big data infectious disease prevention and control method and system.
Background
Infectious Diseases is an Infectious disease that can be transmitted from one person or other species to another person or species via various routes. Generally, the disease can be transmitted by direct contact with infected individuals, the body fluids and excretions of infected persons, objects contaminated by infected persons, through air transmission, water transmission, food transmission, contact transmission, soil transmission, vertical transmission, etc. For example, infection and spread of SARS virus (SARS virus) infectious disease in 2002 and 2003 and new coronavirus pneumonia infected and spread in 2019, which cause great harm to human health.
These infectious diseases are transmitted by means of respiratory tract infection, contact infection, etc., and if a person is confirmed to be a virus carrier, it is an effective means to prevent the person from infecting other people with the disease by isolating the person from the crowd. However, because these infectious diseases have a latent period, it is not known which people are carriers of these viruses when there is no disease, and these people do not know that they have carried viruses, and these people who have carried viruses will have normal living activities in cities and people, such as gathering, taking public transportation, public transportation such as public transportation, subway, train, high-speed rail, airplane, etc., and these living activities all have to contact with numerous people, and people who have contacted with virus carriers (breathing air contact, direct contact, indirect contact), and the possibility of infecting the infectious diseases on the virus carriers is very high, so the speed and coverage rate of disease transmission will be increased, and the longer the latent period of the disease, the higher the difficulty of the virus, and if the number of infected persons is more than the medical supply (medical bed, medical equipment, medical technology, etc.) Medical drugs, medical care products, medical personnel) that endanger the life of human populations and may therefore be extinct, for which reason the number of people infected with infectious diseases must be timely controlled.
If all people are isolated or a large number of people are isolated, the consumed manpower, material resources and financial resources are large, the economic development of the society and the development of the people are also influenced, but at present, no method can accurately know which people are potential virus infectors, and cannot determine which people are infected with viruses at a high probability.
Disclosure of Invention
The invention aims to provide a big data infectious disease prevention and control method and a big data infectious disease prevention and control system, which are used for solving the problems in the prior art.
In a first aspect, an embodiment of the present invention provides a big data infectious disease prevention and control method, where the method includes:
acquiring identity information of a first virus carrier which is determined to carry the virus;
obtaining a first action track of the first virus carrier in a set time period;
acquiring all first people gathering places passing through the first moving track, and acquiring a first scene image of each first people gathering place, wherein the first scene image is a scene image of the first people gathering place shot when the first virus carrier is located at the first people gathering place, and the scene image at least comprises image information of the first virus carrier and people with a distance to the first virus carrier within a set range;
identifying the first virus carrier in the first scene image;
determining to obtain an artificial potential virus carrier within a set range of distance from the first virus carrier in the first scene image;
acquiring identity information and communication mode information of the potential virus carriers from a first database, wherein the first database is a personnel information database of provinces to which the first people gathering place belongs, and image information of the potential virus carriers, and identity information and communication mode information which correspond to the image information exist in the first database;
and sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time.
Optionally, the method further includes:
carrying out virus detection on the potential virus carrier, and if detecting that the potential virus carrier carries viruses, confirming that the potential virus carrier is a second virus carrier;
obtaining a second action track of the second virus carrier in a set time period;
all second crowd gathering places passing through the second action track are obtained, and a second scene image of each second crowd gathering place is obtained, wherein the second scene image is a scene image of the second crowd gathering place shot when the second virus carriers are in the second crowd gathering places, and the scene image at least comprises image information of the second virus carriers and people with the distance between the second virus carriers and the second crowd gathering places within a set range;
identifying the second virus carrier in the second scene image;
and determining to obtain artificial potential virus carriers within a set range of distance from the second virus carrier in the second scene image.
Optionally, before sending the prevention and control information to the potential virus carrier according to the identity information and the communication mode information, the method further includes:
sending a target scene image to the potential virus carrier according to the identity information and the communication mode information, wherein the target scene image is a first scene image which confirms that the distance between the potential virus carrier and the first virus carrier is within a set range;
obtaining feedback information of the potential virus carrier;
if the feedback information is yes, executing the step of sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information;
and if the feedback information is negative, acquiring the identity information and the communication mode information of the potential virus carrier in a second database, wherein the second database is a personnel information database of the country to which the first crowd gathering place belongs, and the second database contains the image information of the potential virus carrier, and the identity information and the communication mode information which correspond to the image information.
Optionally, the obtaining a first moving trajectory of the first virus carrier within a set time period includes:
determining an action zone of the first virus carrier as a first action zone;
obtaining a memory motion track of the first virus carrier, wherein the memory motion track is a motion track informed by the virus carrier;
obtaining an action scene image including the first virus carrier in a third database of the first action area, wherein the action scene image is shot by a camera device in at least one first crowd gathering point within a set time period;
determining a first crowd gathering point corresponding to the action scene image to form a predicted motion track according to the timestamp of the action scene image;
determining a first crowd gathering place passing through the memory action track as a memory starting crowd gathering place;
determining a first crowd gathering place passing through the predicted action track as a prediction starting crowd gathering place;
if the time stamp of the motion scene image of the memory initial people clustering place is earlier than the time stamp of the prediction initial people clustering place, taking the memory initial people clustering place as a first people clustering place through which the prediction action track passes, taking the prediction initial people clustering place as a second people clustering place through which the prediction action track passes, and taking the prediction action track comprising the memory initial people clustering place as the first action track;
and if the time stamp of the motion scene image of the memory starting people clustering place is later than the time stamp of the prediction starting people clustering place, taking the memory motion track as the first action track.
Optionally, the method includes: and classifying the infection level of the potential virus carriers according to the first action track, and preventing and controlling the infection of the infectious diseases.
Optionally, the classifying the infection level of the potential virus carrier according to the first action track includes:
predicting an index of infection of a first viral carrier through the first personal cluster site;
and obtaining the infection grade of the potential virus carrier corresponding to the first people clustering place according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people clustering place.
Optionally, the index of infection of the first virus carrier through the first people gathering site is predicted as follows:
carrying out time curve fitting on the value of the disease symptoms of each time node of the first virus carrier;
predicting a condition of the first viral carrier at a later time node, said onset symptoms being represented by a value equal to a weighted sum of the body temperature, cough, headache of the first viral carrier; the value of the disease symptoms is taken as the infection index.
Optionally, the infection level of the potential virus carrier corresponding to the first people gathering location is obtained according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people gathering location, and is specifically calculated according to the following formula:
wherein L represents an infection level, q represents a value of a disease symptom, and d represents a distance between the potential virus carrier and the first virus carrier at the first people clustering site.
Optionally, the big data infectious disease prevention and control method further includes determining, according to a plurality of first scene images corresponding to a plurality of time points of the same first crowd gathering point, an artificial potential virus carrier who has contacted the same object with the first virus carrier within a preset time interval.
In a second aspect, an embodiment of the present invention provides a big data infectious disease prevention and control system, including:
the acquisition module is used for acquiring the identity information of a first virus carrier which is determined to carry the virus; obtaining a first action track of the first virus carrier in a set time period;
an aggregation point determining module, configured to obtain all first people gathering points that pass through the first moving trajectory, and obtain a first scene image of each first people gathering point, where the first scene image is a scene image of the first people gathering point that is taken when the first virus carrier is located at the first people gathering point, and the scene image at least includes image information of the first virus carrier and people whose distance from the first virus carrier is within a set range;
an identify carrier module to identify the first virus carrier in the first scene image;
a potential person determining module, configured to determine to obtain an artificial potential virus carrier in the first scene image, where a distance from the first virus carrier is within a set range;
an identity information obtaining module, configured to obtain identity information and communication mode information of the potential virus carrier from a first database, where the first database is a personnel information database of a province to which the first crowd gathering location belongs, and image information of the potential virus carrier, and the identity information and the communication mode information corresponding to the image information are present in the first database;
and the prevention and control module is used for sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a big data infectious disease prevention and control method and a big data infectious disease prevention and control system, which are applied to electronic equipment, wherein the method comprises the following steps: acquiring identity information of a first virus carrier which is determined to carry the virus; obtaining a first action track of the first virus carrier in a set time period; acquiring all first people gathering places passing through the first moving track, and acquiring a first scene image of each first people gathering place, wherein the first scene image is a scene image of the first people gathering place shot when the first virus carrier is located at the first people gathering place, and the scene image at least comprises image information of the first virus carrier and people with a distance to the first virus carrier within a set range; identifying the first virus carrier in the first scene image; determining to obtain an artificial potential virus carrier within a set range of distance from the first virus carrier in the first scene image; acquiring identity information and communication mode information of the potential virus carriers from a first database, wherein the first database is a personnel information database of provinces to which the first people gathering place belongs, and image information of the potential virus carriers, and identity information and communication mode information which correspond to the image information exist in the first database; and sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time. By adopting the scheme, suspects (potential virus carriers) carried by the viruses can be accurately found, and the potential virus carriers can be accurately checked and isolated to prevent and control the spread of infectious diseases, and meanwhile, time, money and mental losses are not brought to people who are not likely to infect the infectious diseases. Can effectively prevent and control the spread of infectious diseases. Can pertinently, quickly, accurately and effectively prevent and control infectious diseases, and prevent the infectious diseases from causing uncontrollable outbreaks to harm human safety.
Drawings
Fig. 1 is a flowchart of a big data infectious disease prevention and control method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a big data infectious disease prevention and control system 200 according to an embodiment of the present invention.
Fig. 3 is a schematic block structure diagram of a terminal device according to an embodiment of the present invention.
The labels in the figure are: 200-prevention and control of big data infectious diseases; 210-an obtaining module; 220-determine an aggregation point module; 230-identify carrier module; 240-determine latent block; 250-obtain identity information module; 260-prevention and control module; 500-a bus; 501-a receiver; 502-a processor; 503-a transmitter; 504-a memory; 505-bus interface.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
Examples
The embodiment of the invention provides a big data infectious disease prevention and control method, which is applied to electronic equipment and comprises the following steps of:
s101: identity information of a first virus carrier that has been determined to carry a virus is obtained.
S102: and obtaining a first action track of the first virus carrier in a set time period.
S103: the method comprises the steps of obtaining all first people gathering places passing through the first moving track, and obtaining a first scene image of each first people gathering place, wherein the first scene image is a scene image of the first people gathering place shot when a first virus carrier is located at the first people gathering place, and the scene image at least comprises image information of the first virus carrier and people with the distance from the first virus carrier within a set range.
S104: identifying the first virus carrier in the first scene image.
S105: determining to obtain an artificial potential virus carrier within a set range of distance from the first virus carrier in the first scene image.
S106: and acquiring the identity information and the communication mode information of the potential virus carriers in a first database, wherein the first database is a personnel information database of provinces to which the first people gathering place belongs, and the first database has the image information of the potential virus carriers, and the identity information and the communication mode information which correspond to the image information.
S107: and sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time.
By adopting the scheme, suspects (potential virus carriers) carried by the viruses can be accurately found, and the potential virus carriers can be accurately checked and isolated to prevent and control the spread of infectious diseases, and meanwhile, time, money and mental losses are not brought to people who are not likely to infect the infectious diseases. Can effectively prevent and control the spread of infectious diseases.
Optionally, before S106, the big data infectious disease prevention and control method further includes determining, according to a plurality of first scene images corresponding to a plurality of time points of the same first crowd gathering point, an artificial potential virus carrier that has contacted the same object as the first virus carrier within a preset time interval. Therefore, potential virus carriers can be searched from the dimension of transverse space and longitudinal time, and the effectiveness and timeliness of infectious disease prevention and control are further enhanced.
In the embodiment of the invention, the first database is stored in the cloud big database.
For further prevention and control of infectious disease transmission, the method further comprises: carrying out virus detection on the potential virus carrier, and if detecting that the potential virus carrier carries viruses, confirming that the potential virus carrier is a second virus carrier; obtaining a second action track of the second virus carrier in a set time period; all second crowd gathering places passing through the second action track are obtained, and a second scene image of each second crowd gathering place is obtained, wherein the second scene image is a scene image of the second crowd gathering place shot when the second virus carriers are in the second crowd gathering places, and the scene image at least comprises image information of the second virus carriers and people with the distance between the second virus carriers and the second crowd gathering places within a set range; identifying the second virus carrier in the second scene image; and determining to obtain artificial potential virus carriers within a set range of distance from the second virus carrier in the second scene image. Meanwhile, the method can also comprise the step of determining artificial potential virus carriers which contact the same objects with the second virus carriers within a preset time interval according to a plurality of second scene images corresponding to a plurality of time points of the same second crowd gathering point so as to complete concurrent tracking of the virus carriers in the transverse space and the longitudinal time, thereby enhancing the effectiveness of virus prevention and control.
The first database may be a population management database of an administrative area related to a first movement trajectory of a first virus carrier, and the second database may be a population management database of an administrative area related to a second movement trajectory of a second virus carrier.
Optionally, before sending the prevention and control information to the potential virus carrier according to the identity information and the communication mode information, the method further includes: sending a target scene image to the potential virus carrier according to the identity information and the communication mode information, wherein the target scene image is a first scene image which confirms that the distance between the potential virus carrier and the first virus carrier is within a set range, or the target scene image is a plurality of first scene images which confirm that the potential virus carrier contacts the same object with the second virus carrier within a preset time interval; obtaining feedback information of the potential virus carrier; if the feedback information is yes, executing the step of sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information; and if the feedback information is negative, acquiring the identity information and the communication mode information of the potential virus carrier in a second database, wherein the second database is a personnel information database of the country to which the first crowd gathering place belongs, and the second database contains the image information of the potential virus carrier, and the identity information and the communication mode information which correspond to the image information.
The target scene image corresponds to a scheme for searching for a virus carrier in a horizontal space corresponding to a first scene image in which the distance between the potential virus carrier and the first virus carrier is confirmed to be within a set range, that is, corresponds to a scheme for determining which of artificial potential virus carriers in the first scene image the distance between the potential virus carrier and the first virus carrier is within the set range is obtained, and the target scene image corresponds to a scheme for determining artificial potential virus carriers in the preset time interval, in which a plurality of first scene images of the potential virus carrier contacting the same object as the second virus carrier within a preset time interval correspond to a plurality of first scene images of the same first people gathering point at a plurality of time points.
Optionally, the obtaining a first moving trajectory of the first virus carrier within a set time period includes: determining an action zone of the first virus carrier as a first action zone; obtaining a memory motion track of the first virus carrier, wherein the memory motion track is a motion track informed by the virus carrier; obtaining an action scene image including the first virus carrier in a third database of the first action area, wherein the action scene image is shot by a camera device in at least one first crowd gathering point within a set time period; determining a first crowd gathering point corresponding to the action scene image to form a predicted motion track according to the timestamp of the action scene image; determining a first crowd gathering place passing through the memory action track as a memory starting crowd gathering place; determining a first crowd gathering place passing through the predicted action track as a prediction starting crowd gathering place; if the time stamp of the motion scene image of the memory initial people clustering place is earlier than the time stamp of the prediction initial people clustering place, taking the memory initial people clustering place as a first people clustering place through which the prediction action track passes, taking the prediction initial people clustering place as a second people clustering place through which the prediction action track passes, and taking the prediction action track comprising the memory initial people clustering place as the first action track; and if the time stamp of the motion scene image of the memory starting people clustering place is later than the time stamp of the prediction starting people clustering place, taking the memory motion track as the first action track.
Because the dictated motion profile of a virus carrier may be inaccurate, determining an accurate motion profile of a virus carrier is an accurate and effective way to prevent or control infectious diseases.
Optionally, the method includes: and classifying the infection level of the potential virus carriers according to the first action track, and preventing and controlling the infection of the infectious diseases.
As a further example, said ranking the infection level of the potential virus carrier according to the first action track may specifically be: predicting an index of infection of a first viral carrier through the first personal cluster site; obtaining an infection level of the potential virus carrier corresponding to the first people gathering place according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people gathering place; or obtaining the infection level of the potential virus carrier corresponding to the first people gathering place according to the infection index and the time length between the contact of the potential virus carrier with the same object at the first people gathering place and the contact of the potential virus carrier with the same object.
Wherein the index of infection predicted for a first viral carrier passing through the first personal cluster site may specifically be: carrying out time curve fitting on the value of the morbidity symptom of each time node of the first virus carrier, and predicting the disease condition of the first virus carrier at the later time node, wherein the morbidity symptom is represented by a numerical value, and the numerical value of the morbidity symptom is equal to the weighted sum of the body temperature, the cough and the headache of the first virus carrier; the value of the disease symptoms is taken as the infection index.
Wherein, the value of headache is 0, 1, 2 and 3, the value of headache is 0, which indicates no headache symptom, the value of headache is 1, which indicates slight headache, the value of headache is 2, which indicates moderate headache, and the value of headache is 3, which indicates severe headache. The cough takes the value of the cough frequency, which is equal to the number of coughs divided by the time. The value of the onset symptoms can be obtained according to the following formula:
q＝a(T-36)+b*C+c*H
wherein q represents the value of onset symptoms, T represents the body temperature, C represents the value of cough, H represents the value of headache, a, b, C represent weighting parameters, and a + b + C is 1. Alternatively, a is 0.5, b is 0.3, and c is 0.2. The less the onset symptom, the more mild the symptom, and the smaller the value of the onset symptom. In this way, patient condition can be quantified for ease of reference.
Optionally, the infection level of the potential virus carrier corresponding to the first people gathering location is obtained according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people gathering location, and is specifically calculated according to the following formula:
wherein L represents an infection level, a value of 1 for L represents that the potential virus carrier has a low possibility of infection, a value of 2 for L represents that the potential virus carrier has a medium possibility of infection, a value of 3 for L represents that the potential virus carrier has a high possibility of infection and needs to be timely checked or isolated, and d represents a distance between the potential virus carrier and the first virus carrier at the first people clustering location.
Optionally, the classifying the infection level of the potential virus carrier according to the first action track further includes:
obtaining the infection grade of the potential virus carrier corresponding to the first people gathering place according to the infection index and the time length of the potential virus carrier contacting the same object at the first people gathering place, and specifically obtaining the infection grade through the following formula:
wherein t represents a length of time that a potential virus carrier is in contact with the same object as the first virus carrier at the first people-gathering location.
As an alternative embodiment, a big data infectious disease prevention and control method includes: acquiring identity information of a first virus carrier which is determined to carry the virus; obtaining a first action track of the first virus carrier in a set time period; acquiring all first people gathering places passing through the first moving track, and acquiring a first scene image of each first people gathering place, wherein the first scene image is a scene image of the first people gathering place shot when the first virus carrier is located at the first people gathering place, and the scene image at least comprises image information of the first virus carrier and people with a distance to the first virus carrier within a set range; identifying the first virus carrier in the first scene image; determining to obtain an artificial potential virus carrier within a set range from the first scene image, and determining an artificial potential virus carrier which contacts the same object with the first virus carrier within a preset time interval according to a plurality of first scene images corresponding to a plurality of time points of the same first crowd gathering point; and acquiring identity information and communication mode information of the potential virus carriers in a first database, wherein the first database is a personnel information database of provinces to which the first people gathering place belongs, image information of the potential virus carriers, identity information and communication mode information which correspond to the image information exist in the first database, and prevention and control information is sent to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time.
Further, virus detection is carried out on the potential virus carrier, and if the potential virus carrier is detected to carry viruses, the potential virus carrier is confirmed to be a second virus carrier; obtaining a second action track of the second virus carrier in a set time period; all second crowd gathering places passing through the second action track are obtained, and a second scene image of each second crowd gathering place is obtained, wherein the second scene image is a scene image of the second crowd gathering place shot when the second virus carriers are in the second crowd gathering places, and the scene image at least comprises image information of the second virus carriers and people with the distance between the second virus carriers and the second crowd gathering places within a set range; identifying the second virus carrier in the second scene image; and determining to obtain an artificial potential virus carrier within a set range from the second scene image, or determining an artificial potential virus carrier contacting the same object with the second virus carrier within a preset time interval according to a plurality of second scene images corresponding to a plurality of time points of the same second crowd gathering point.
Further, before the sending of the prevention and control information to the potential virus carrier according to the identity information and the communication mode information, the method further includes: sending a target scene image to the potential virus carrier according to the identity information and the communication mode information, wherein the target scene image is a first scene image which confirms that the distance between the potential virus carrier and the first virus carrier is within a set range, or the target scene image is a plurality of first scene images which confirm that the potential virus carrier contacts the same object with the second virus carrier within a preset time interval; obtaining feedback information of the potential virus carrier; if the feedback information is yes, executing the step of sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information; and if the feedback information is negative, acquiring the identity information and the communication mode information of the potential virus carrier in a second database, wherein the second database is a personnel information database of the country to which the first crowd gathering place belongs, and the second database contains the image information of the potential virus carrier, and the identity information and the communication mode information which correspond to the image information.
Further, the obtaining the first motion trajectory of the first virus carrier within a set time period includes: determining an action zone of the first virus carrier as a first action zone; obtaining a memory motion track of the first virus carrier, wherein the memory motion track is a motion track informed by the virus carrier; obtaining an action scene image including the first virus carrier in a third database of the first action area, wherein the action scene image is shot by a camera device in at least one first crowd gathering point within a set time period; determining a first crowd gathering point corresponding to the action scene image to form a predicted motion track according to the timestamp of the action scene image; determining a first crowd gathering place passing through the memory action track as a memory starting crowd gathering place; determining a first crowd gathering place passing through the predicted action track as a prediction starting crowd gathering place; if the time stamp of the motion scene image of the memory initial people clustering place is earlier than the time stamp of the prediction initial people clustering place, taking the memory initial people clustering place as a first people clustering place through which the prediction action track passes, taking the prediction initial people clustering place as a second people clustering place through which the prediction action track passes, and taking the prediction action track comprising the memory initial people clustering place as the first action track; and if the time stamp of the motion scene image of the memory starting people clustering place is later than the time stamp of the prediction starting people clustering place, taking the memory motion track as the first action track.
Further, the potential virus carriers are classified according to the first action track, and infection of infectious diseases is prevented and controlled in time.
Further, said ranking the potential virus carriers for infection according to the first action trajectory comprises: predicting an index of infection of a first viral carrier through the first personal cluster site; obtaining an infection level of the potential virus carrier corresponding to the first people gathering place according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people gathering place; or obtaining the infection level of the potential virus carrier corresponding to the first people gathering place according to the infection index and the time length between the contact of the potential virus carrier with the same object at the first people gathering place and the contact of the potential virus carrier with the same object.
Similarly, a similar prevention and control method is adopted for the second virus carrier to track and check the first virus carrier. Therefore, the method can be used for pertinently, quickly, accurately and effectively preventing and controlling the infectious diseases and preventing the infectious diseases from causing uncontrollable outbreak to harm human safety.
The embodiment of the present application further provides an executing entity for executing the steps, and the executing entity may be the bidding management system 200 in fig. 2. Referring to fig. 2, the big data infectious disease prevention and control system 200 includes:
an obtaining module 210, configured to obtain identity information of a first virus carrier that has been determined to carry a virus; obtaining a first action track of the first virus carrier in a set time period;
an aggregation point determining module 220, configured to obtain all first people gathering locations passing through the first moving trajectory, and obtain a first scene image of each first people gathering location, where the first scene image is a scene image of the first people gathering location taken when the first virus carrier is located at the first people gathering location, and the scene image includes at least image information of the first virus carrier and people within a set distance from the first virus carrier;
an identify carrier module 230 configured to identify the first virus carrier in the first scene image;
a potential person determining module 240, configured to determine to obtain an artificial potential virus carrier in the first scene image, where the distance from the first virus carrier is within a set range;
an identity information obtaining module 250, configured to obtain identity information and communication mode information of the potential virus carrier from a first database, where the first database is a personnel information database of a province to which the first crowd gathering location belongs, and image information of the potential virus carrier and identity information and communication mode information corresponding to the image information exist in the first database;
and the prevention and control module 260 is configured to send prevention and control information to the potential virus carrier according to the identity information and the communication mode information, so as to implement an isolation measure on the potential virus carrier in time.
When the obtaining module 210, the aggregation point determining module 220, the carrier identifying module 230, the potential person determining module 240, the identity information obtaining module 250, and the prevention and control module 260 perform their functions, the specific implementation manner is the manner described in the above-mentioned big data infectious disease prevention and control method, and specific reference is made to the specific contents described in the big data infectious disease prevention and control method, which is not described herein again.
In the embodiment of the present invention, the terminal device, as shown in fig. 3, includes a memory 504, a processor 502 and a computer program stored in the memory 504 and executable on the processor 502, and the processor 502 executes the computer program to implement the steps of any one of the methods for controlling big data infectious diseases described above.
Where a bus architecture (represented by bus 500) is used, bus 500 may include any number of interconnected buses and bridges, and bus 500 links together various circuits including one or more processors, represented by processor 502, and memory, represented by memory 504. The bus 500 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 505 provides an interface between the bus 500 and the receiver 501 and transmitter 503. The receiver 501 and the transmitter 503 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 502 is responsible for managing the bus 500 and general processing, and the memory 504 may be used for storing data used by the processor 502 in performing operations.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an apparatus according to an embodiment of the invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
Claims (10)
1. A big data infectious disease prevention and control method, characterized in that the method comprises:
acquiring identity information of a first virus carrier which is determined to carry the virus;
obtaining a first action track of the first virus carrier in a set time period;
acquiring all first people gathering places passing through the first moving track, and acquiring a first scene image of each first people gathering place, wherein the first scene image is a scene image of the first people gathering place shot when the first virus carrier is located at the first people gathering place, and the scene image at least comprises image information of the first virus carrier and people with a distance to the first virus carrier within a set range;
identifying the first virus carrier in the first scene image;
determining to obtain an artificial potential virus carrier within a set range of distance from the first virus carrier in the first scene image;
acquiring identity information and communication mode information of the potential virus carriers from a first database, wherein the first database is a personnel information database of provinces to which the first people gathering place belongs, and image information of the potential virus carriers, and identity information and communication mode information which correspond to the image information exist in the first database;
and sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time.
2. The method of claim 1, further comprising:
carrying out virus detection on the potential virus carrier, and if detecting that the potential virus carrier carries viruses, confirming that the potential virus carrier is a second virus carrier;
obtaining a second action track of the second virus carrier in a set time period;
all second crowd gathering places passing through the second action track are obtained, and a second scene image of each second crowd gathering place is obtained, wherein the second scene image is a scene image of the second crowd gathering place shot when the second virus carriers are in the second crowd gathering places, and the scene image at least comprises image information of the second virus carriers and people with the distance between the second virus carriers and the second crowd gathering places within a set range;
identifying the second virus carrier in the second scene image;
and determining to obtain artificial potential virus carriers within a set range of distance from the second virus carrier in the second scene image.
3. The method of claim 2, wherein before sending prevention and control information to the potential virus carrier according to the identity information and the communication mode information, the method further comprises:
sending a target scene image to the potential virus carrier according to the identity information and the communication mode information, wherein the target scene image is a first scene image which confirms that the distance between the potential virus carrier and the first virus carrier is within a set range;
obtaining feedback information of the potential virus carrier;
if the feedback information is yes, executing the step of sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information;
and if the feedback information is negative, acquiring the identity information and the communication mode information of the potential virus carrier in a second database, wherein the second database is a personnel information database of the country to which the first crowd gathering place belongs, and the second database contains the image information of the potential virus carrier, and the identity information and the communication mode information which correspond to the image information.
4. The method of claim 1, wherein the obtaining the first behavior trace of the first virus carrier over a set period of time comprises:
determining an action zone of the first virus carrier as a first action zone;
obtaining a memory motion track of the first virus carrier, wherein the memory motion track is a motion track informed by the virus carrier;
obtaining an action scene image including the first virus carrier in a third database of the first action area, wherein the action scene image is shot by a camera device in at least one first crowd gathering point within a set time period;
determining a first crowd gathering point corresponding to the action scene image to form a predicted motion track according to the timestamp of the action scene image;
determining a first crowd gathering place passing through the memory action track as a memory starting crowd gathering place;
determining a first crowd gathering place passing through the predicted action track as a prediction starting crowd gathering place;
if the time stamp of the motion scene image of the memory initial people clustering place is earlier than the time stamp of the prediction initial people clustering place, taking the memory initial people clustering place as a first people clustering place through which the prediction action track passes, taking the prediction initial people clustering place as a second people clustering place through which the prediction action track passes, and taking the prediction action track comprising the memory initial people clustering place as the first action track;
and if the time stamp of the motion scene image of the memory starting people clustering place is later than the time stamp of the prediction starting people clustering place, taking the memory motion track as the first action track.
5. The method according to claim 1, characterized in that it comprises: and classifying the infection level of the potential virus carriers according to the first action track, and preventing and controlling the infection of the infectious diseases.
6. The method of claim 5, wherein ranking potential virus carriers for infection according to the first trajectory of action comprises:
predicting an index of infection of a first viral carrier through the first personal cluster site;
and obtaining the infection grade of the potential virus carrier corresponding to the first people clustering place according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people clustering place.
7. The method of claim 6, wherein the index of infection by the first viral carrier through the first people gathering site is predicted to be:
carrying out time curve fitting on the value of the disease symptoms of each time node of the first virus carrier;
predicting a condition of the first viral carrier at a later time node, said onset symptoms being represented by a value equal to a weighted sum of the body temperature, cough, headache of the first viral carrier; the value of the disease symptoms is taken as the infection index.
8. The method of claim 7, wherein the infection rating of the potential virus carrier corresponding to the first people gathering location is obtained according to the infection index and the distance between the potential virus carrier and the first virus carrier at the first people gathering location, and is calculated according to the following formula:
wherein L represents an infection level, q represents a value of a disease symptom, and d represents a distance between the potential virus carrier and the first virus carrier at the first people clustering site.
9. The method of claim 1, wherein the big data infectious disease prevention and control method further comprises determining an artificial potential virus carrier who has contacted the same object with the first virus carrier within a preset time interval according to a plurality of first scene images corresponding to a plurality of time points of the same first crowd point.
10. A big data infectious disease prevention and control system, characterized in that the system comprises:
the acquisition module is used for acquiring the identity information of a first virus carrier which is determined to carry the virus; obtaining a first action track of the first virus carrier in a set time period;
an aggregation point determining module, configured to obtain all first people gathering points that pass through the first moving trajectory, and obtain a first scene image of each first people gathering point, where the first scene image is a scene image of the first people gathering point that is taken when the first virus carrier is located at the first people gathering point, and the scene image at least includes image information of the first virus carrier and people whose distance from the first virus carrier is within a set range;
an identify carrier module to identify the first virus carrier in the first scene image;
a potential person determining module, configured to determine to obtain an artificial potential virus carrier in the first scene image, where a distance from the first virus carrier is within a set range;
an identity information obtaining module, configured to obtain identity information and communication mode information of the potential virus carrier from a first database, where the first database is a personnel information database of a province to which the first crowd gathering location belongs, and image information of the potential virus carrier, and the identity information and the communication mode information corresponding to the image information are present in the first database;
and the prevention and control module is used for sending prevention and control information to the potential virus carriers according to the identity information and the communication mode information so as to implement isolation measures on the potential virus carriers in time.
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