CN112182053A - Epidemic situation prevention and control system, method, terminal and medium based on big data - Google Patents
Epidemic situation prevention and control system, method, terminal and medium based on big data Download PDFInfo
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Abstract
The invention provides an epidemic situation prevention and control system based on big data, which comprises: the epidemic area passing vehicle file construction module is used for constructing epidemic area passing vehicle file data; the vehicle picture acquisition module acquires a local vehicle picture in real time; the vehicle information identification module identifies the license plate number in the vehicle picture; the epidemic area touch inquiry module carries out real-time collision on the identified license plate number and the epidemic area passing vehicle file data, judges whether the vehicle passes through the epidemic area or not to obtain a judgment result, screens out the vehicle information passing through the epidemic area from the judgment result and sends the information to the perception early warning module; the perception early warning module is used for sending out early warning signals to the condition that vehicles passing through the epidemic area exist locally. The system can quickly and accurately judge whether the vehicle in the acquired vehicle picture passes through or passes through the epidemic area, and can give an early warning to the condition that the vehicle passes through or passes through the epidemic area, so that a data basis is provided for the administrative department to control and prevent the epidemic situation. The system is simple and easy to use, simple to deploy, high in real time efficiency and good in expansibility.
Description
Technical Field
The invention relates to the technical field of software, in particular to an epidemic situation prevention and control system, method, terminal and medium based on big data.
Background
Because the infectious disease has extremely strong infectivity and large population mobility among various regions, the method is a comprehensive prevention and control measure mainly based on vehicles passing through an epidemic area, orderly carries out the prevention and control work of the epidemic situation of the infectious disease, discovers cases as soon as possible, effectively restrains the spread and spread of the epidemic situation and reduces the harm of the epidemic situation of the infectious disease to the public health. How to quickly identify whether the vehicle passes through an epidemic area or reaches the local from the epidemic area, thereby effectively checking infectious diseases of related personnel on the vehicle.
Disclosure of Invention
Aiming at the defects in the prior art, the embodiment of the invention provides an epidemic situation prevention and control system, method, terminal and medium based on big data, which can efficiently and accurately identify whether vehicles pass through an epidemic area or reach the local area from the epidemic area, and provide a data basis for epidemic situation prevention and control.
In a first aspect, an epidemic situation prevention and control system based on big data provided in an embodiment of the present invention includes: an epidemic area passing vehicle file construction module, a vehicle picture acquisition module, a vehicle information identification module, an epidemic area touch screen inquiry module and a perception early warning module, wherein,
the epidemic area passing vehicle file construction module is used for constructing epidemic area passing vehicle file data;
the vehicle picture acquisition module is used for acquiring a local vehicle picture in real time;
the vehicle information identification module is used for identifying license plate numbers in the vehicle pictures;
the epidemic area touch network query module is used for carrying out real-time collision on the identified license plate number and the epidemic area passing vehicle file data, judging whether the vehicle passes through the epidemic area or not to obtain a judgment result, screening out the vehicle information passing through the epidemic area from the judgment result and sending the information to the perception early warning module;
the perception early warning module is used for sending out early warning signals under the condition that vehicles passing through an epidemic area exist locally.
In a second aspect, an epidemic situation prevention and control method based on big data provided in an embodiment of the present invention includes:
establishing epidemic area passing vehicle file data;
acquiring a local vehicle picture in real time;
identifying a license plate number from the vehicle picture;
real-time collision is carried out on the identified license plate and the passing vehicle file data of the epidemic area, whether the vehicle passes through the epidemic area is judged, a judgment result is obtained, and vehicle information passing through the epidemic area is screened out from the judgment result;
and sending out an early warning signal when vehicles passing through the epidemic area exist locally.
In a third aspect, an intelligent terminal provided in an embodiment of the present invention includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method described in the foregoing embodiment.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, the computer program including program instructions, which, when executed by a processor, cause the processor to execute the method described in the above embodiment.
The invention has the beneficial effects that:
according to the epidemic situation prevention and control system, the method, the terminal and the medium based on the big data, the license plate number is recognized from the vehicle picture by acquiring the vehicle picture of the local area in real time, the license plate number is collided with the constructed epidemic area passing vehicle file, whether the vehicle passes through or passes through the epidemic area is accurately and quickly judged, the early warning is carried out on the condition that the vehicle passes through or passes through the epidemic area, and a data basis is provided for the administrative department to carry out epidemic situation prevention and control. Functionally, the system is simple and easy to use, simple to deploy, real-time, efficient and good in expansibility. In terms of data security, important data information complies with the regulations of the related national confidentiality system, personal privacy is guaranteed, and the data are not infringed under unauthorized conditions.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 shows a block diagram of a system of a big data-based epidemic prevention and control method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of an epidemic situation prevention and control method based on big data according to another embodiment of the present invention;
fig. 3 shows a block diagram of an intelligent terminal according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
As shown in fig. 1, a block diagram of a big data-based epidemic situation prevention and control system according to a first embodiment of the present invention is shown, and the system includes: the system comprises an epidemic area passing vehicle file construction module, a vehicle picture acquisition module, a vehicle information identification module, an epidemic area touch screen inquiry module and a perception early warning module, wherein the epidemic area passing vehicle file construction module is used for constructing epidemic area passing vehicle file data; the vehicle picture acquisition module is used for acquiring a local vehicle picture in real time; the vehicle information identification module is used for identifying license plate numbers in the vehicle pictures; the epidemic area touch inquiry module is used for carrying out real-time collision on the identified license plate number and the epidemic area passing vehicle file data, judging whether the vehicle passes through the epidemic area or not to obtain a judgment result, screening out the vehicle information passing through the epidemic area from the judgment result and sending the vehicle information to the perception early warning module; the perception early warning module is used for sending out early warning signals to the condition that vehicles passing through the epidemic area exist locally. The epidemic area passing vehicle file construction module constructs epidemic area passing vehicle file data by collecting vehicle data in an epidemic area, vehicle data passing through an epidemic area expressway toll station and the like, stores the epidemic area vehicle files by adopting mongodb document database, establishes a license plate index and queries speed millisecond-level response. The epidemic area touch network query module is mainly used for querying whether vehicles pass through the epidemic area or not, the perception early warning module is mainly used for reporting that vehicles in the key epidemic area pass through or reach the local area, and the spark technology is utilized to complete real-time vehicle passing and epidemic area passing vehicle archive data collision so as to generate a collision result. The specific workflow of the system comprises the following steps: the vehicle picture obtains the vehicle picture that the module acquireed local region in real time, vehicle information identification module carries out data structure discernment, discern the license plate number in the vehicle picture, collide license plate number and the current vehicle archive data in epidemic area, judge whether the vehicle passes through or gets the judgement result to the epidemic area, the vehicle information through the epidemic area is screened out from the judgement result, and with the vehicle information transmission through the epidemic area for perception early warning module, perception early warning module reports in real time that key epidemic area vehicle passes through or arrives locally.
In another embodiment of the invention, the system further comprises a vehicle counting module and a record export module, wherein the vehicle counting module is used for counting vehicle data passing through the epidemic area and reaching the local area on the same day, the vehicle counting module caches the counted data by using a redis memory database, and the redis memory database has the characteristic of high reading and writing efficiency and completes page php function query. The record deriving module is used for deriving the data counted by the vehicle counting module. The data of all vehicles passing through the epidemic area and reaching the local area on the same day can be conveniently counted and derived by the staff.
In another embodiment of the present invention, the system further includes a manual checking module, and the manual checking module is configured to obtain information for manually checking and confirming the condition of sending the warning signal. The perception early warning module sends out an early warning signal, a worker verifies the early warning information, judges whether the early warning information is correct or not, inputs verification information into the manual verification module, is favorable for confirming the early warning information, and ensures the accuracy of statistical data.
According to the epidemic situation prevention and control system based on the big data, the license plate number is identified from the vehicle picture by acquiring the vehicle picture of the local area in real time, the license plate number is collided with the constructed epidemic area passing vehicle file, whether the vehicle passes through or goes through the epidemic area is judged, the condition that the vehicle passes through or goes through the epidemic area is pre-warned, and a data basis is provided for the administrative department to prevent and control the epidemic situation. Functionally, the system is simple and easy to use, simple to deploy, real-time, efficient and good in expansibility. In terms of data security, important data information complies with the regulations of the related national confidentiality system, personal privacy is guaranteed, and the data are not infringed under unauthorized conditions.
In the first embodiment, an epidemic prevention and control system based on big data is provided, and correspondingly, another embodiment of the present application further provides an epidemic prevention and control method based on big data. Please refer to fig. 2, which is a flowchart illustrating an epidemic situation prevention and control method based on big data according to another embodiment of the present invention. Since the method embodiment is basically similar to the device embodiment, the description is simple, and the relevant points can be referred to the partial description of the device embodiment. The method embodiments described below are merely illustrative.
As shown in fig. 2, a flowchart of an epidemic situation prevention and control method based on big data according to another embodiment of the present invention is shown, the method is applied to the system described in the first embodiment, and the method includes:
and S1, constructing epidemic area passing vehicle file data.
And S2, acquiring a local vehicle picture in real time.
And S3, identifying the license plate number from the vehicle picture.
And S4, real-time collision is carried out on the identified license plate and the passing vehicle file data of the epidemic area, whether the vehicle passes through the epidemic area is judged, a judgment result is obtained, and the information of the vehicle passing through the epidemic area is screened out from the judgment result.
And S5, sending out an early warning signal to the condition that the vehicle passing through the epidemic area exists locally.
And S6, counting the data of vehicles passing through the epidemic area and reaching the local area on the same day.
And S7, exporting the counted data of the vehicles passing through the epidemic area on the day and arriving at the local.
The embodiment provides an epidemic situation prevention and control method based on big data, which is characterized in that epidemic zone passing vehicle archive data are constructed by collecting vehicle data in an epidemic zone, vehicle data passing through an epidemic zone expressway toll station and the like, mongodb document database is adopted to store the epidemic zone vehicle archive, and a license plate index is established, so that the inquiry speed millisecond-level response is realized. The vehicle picture acquisition module acquires a vehicle picture of a local area in real time, the vehicle information identification module carries out data structured identification to identify a license plate number in the vehicle picture, the license plate number is passed in real time by utilizing a spark technology to collide with passing vehicle archive data of the epidemic area, a collision result is generated, vehicle information passing the epidemic area is screened out from the collision result, and the passing or arrival of vehicles in the key epidemic area is reported in real time.
In another embodiment of the present invention, the method further comprises obtaining manually entered information for verification and confirmation of the warning signal. The perception early warning module sends out an early warning signal, a worker verifies the early warning information, judges whether the early warning information is correct or not, inputs verification information into the manual verification module, is favorable for confirming the early warning information, and ensures the accuracy of statistical data.
According to the epidemic situation prevention and control method based on the big data, the license plate number is identified from the vehicle picture by acquiring the vehicle picture of the local area in real time, the license plate number is collided with the constructed epidemic area passing vehicle file, whether the vehicle passes through or goes through the epidemic area is judged, the condition that the vehicle passes through or goes through the epidemic area is pre-warned, and a data basis is provided for the administrative department to prevent and control the epidemic situation. Functionally, the system is simple and easy to use, simple to deploy, real-time, efficient and good in expansibility. In terms of data security, important data information complies with the regulations of the related national confidentiality system, personal privacy is guaranteed, and the data are not infringed under unauthorized conditions.
As shown in fig. 3, in another embodiment of the present invention, a structural block diagram of an intelligent terminal is provided, where the terminal includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, the memory is used for storing a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method described in the foregoing embodiment.
It should be understood that in the embodiments of the present invention, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device may include a display (LCD, etc.), a speaker, etc.
The memory may include both read-only memory and random access memory, and provides instructions and data to the processor. The portion of memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In a specific implementation, the processor, the input device, and the output device described in the embodiments of the present invention may execute the implementation described in the method embodiments provided in the embodiments of the present invention, and may also execute the implementation described in the system embodiments in the embodiments of the present invention, which is not described herein again.
The invention also provides an embodiment of a computer-readable storage medium, in which a computer program is stored, which computer program comprises program instructions that, when executed by a processor, cause the processor to carry out the method described in the above embodiment.
The computer readable storage medium may be an internal storage unit of the terminal described in the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. The utility model provides an epidemic situation prevention and control system based on big data which characterized in that includes: an epidemic area passing vehicle file construction module, a vehicle picture acquisition module, a vehicle information identification module, an epidemic area touch screen inquiry module and a perception early warning module, wherein,
the epidemic area passing vehicle file construction module is used for constructing epidemic area passing vehicle file data;
the vehicle picture acquisition module is used for acquiring a local vehicle picture in real time;
the vehicle information identification module is used for identifying license plate numbers in the vehicle pictures;
the epidemic area touch network query module is used for carrying out real-time collision on the identified license plate number and the epidemic area passing vehicle file data, judging whether the vehicle passes through the epidemic area or not to obtain a judgment result, screening out the vehicle information passing through the epidemic area from the judgment result and sending the information to the perception early warning module;
the perception early warning module is used for sending out early warning signals under the condition that vehicles passing through an epidemic area exist locally.
2. The system of claim 1, further comprising a vehicle statistics module for counting vehicle data passing through the epidemic area to local on the same day.
3. The system of claim 2, further comprising a record derivation module to derive data for vehicle statistics module statistics.
4. The system of claim 1, further comprising a human verification module for obtaining information for human verification confirmation of the issuance of the pre-alarm signal.
5. An epidemic situation prevention and control method based on big data is characterized by comprising the following steps:
establishing epidemic area passing vehicle file data;
acquiring a local vehicle picture in real time;
identifying a license plate number from the vehicle picture;
real-time collision is carried out on the identified license plate and the passing vehicle file data of the epidemic area, whether the vehicle passes through the epidemic area is judged, a judgment result is obtained, and vehicle information passing through the epidemic area is screened out from the judgment result;
and sending out an early warning signal when vehicles passing through the epidemic area exist locally.
6. The method of claim 5, wherein the method further comprises: and counting the data of vehicles passing through the epidemic area and reaching the local area on the same day.
7. The method of claim 6, wherein the method further comprises: and exporting the counted data of the vehicles passing through the epidemic area and arriving at the local area on the same day.
8. The method of claim 5, further comprising obtaining manually entered information to verify the issuance of the warning signal.
9. An intelligent terminal comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, the memory being adapted to store a computer program, the computer program comprising program instructions, characterized in that the processor is configured to invoke the program instructions to perform the method according to any of claims 5-8.
10. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 5-8.
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