CN112601182A - Epidemic prevention traceability method based on WIFI probe - Google Patents
Epidemic prevention traceability method based on WIFI probe Download PDFInfo
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Abstract
The invention discloses an epidemic prevention traceability method based on a WIFI probe, and belongs to the technical field of big data. The epidemic prevention traceability method based on the WIFI probe comprises the following steps: step S1: the WIFI probe acquisition equipment acquires a probe frame sent by the intelligent equipment; step S2: uploading the acquired probe data to a cloud platform server; step S3: the big data processing platform analyzes data, and analyzes the track of the activity of the personnel and the traceability of the epidemic situation contact personnel according to the signal intensity and the positioning algorithm of the mobile phone; step S4: data presentation is carried out in a business application system; the invention can help epidemic situation prevention and control personnel to manage, and through algorithm analysis and data visualization, the epidemic situation prevention and control personnel can conveniently position and track the track of the patient and carry out data statistics on the patient with the new coronary pneumonia.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an epidemic prevention traceability method based on a WIFI probe.
Background
In recent years, a large number of internet devices support WIFI access functions, such as mobile phones, PADs, notebooks, and the like. One mode of accessing the Internet by the mobile equipment is through a 3G network and a 4G network, the other mode is through a WIFI function, and due to the characteristics of high speed, stability, free charge and convenience of WIFI, a plurality of users like to access the Internet through the WIFI mode, and the WIFI function of the mobile phone is often in an open state. In addition, through the research on the WIFI authentication protocol, the project group includes the MAC address information and SSID important information of the terminal in the Probe request in the WIFI communication process. Therefore, how to effectively utilize the probe data collected by the WIFI front-end equipment to create a novel intelligent city and construct a safe society under an information environment becomes a problem to be solved urgently by a city related manager.
In 2020, the sudden new coronary pneumonia disturbs the rhythm of life of people in China, so that the whole country and even the world are in a severe situation. The outbreak of the epidemic situation brings huge losses of economy, manpower and material resources to China, and the workload of tracing the action path of epidemic situation personnel, counting the number and the position of potential infected persons, examining the infection path of the epidemic situation and the like is huge. In order to reduce workload generated by the problems and increase efficiency and accuracy of the work, important information contained in Probe requests generated in a communication process is collected and utilized to construct action tracks of epidemic situation persons or list information of potential infected persons who directly or indirectly contact patients by utilizing the characteristic that the WIFI in netizen mobile phone equipment periodically sends BEACON frames through a WIFI Probe system.
At present, as people start to unseal gradually in various regions throughout the country, but as people rapidly flow and crowds start to gather in a large range, close contact also starts to increase, and the rebound of epidemic situation is possible at any time. At this time, it is important to cut off the route of infection of the epidemic and to prevent the spread of the re-infection of the epidemic.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, the counting workload is extremely large, and potential possible diseases exist or the positions of epidemic situation personnel are tracked and the tracing is inconvenient, and provides an epidemic prevention tracing method based on a WIFI probe.
In order to achieve the purpose, the invention adopts the following technical scheme:
the epidemic prevention traceability method based on the WIFI probe comprises the following steps:
step S1: the WIFI probe acquisition equipment acquires a probe frame sent by the intelligent equipment;
step S2: uploading the acquired probe data to a cloud platform server;
step S3: the big data processing platform analyzes data, and analyzes the track of the activity of the personnel and the traceability of the epidemic situation contact personnel according to the signal intensity and the positioning algorithm of the mobile phone;
step S4: and presenting the data in the business application system.
As a preferred solution, in step S1, the WIFI probe receives the probe frame sent by the smart device, so as to obtain data of the device, including but not limited to the type of the WIFI packet sent by the device, the time of receiving the signal, the MAC address information, and the RSSI information.
As a preferred technical solution, in the step S2, the system adopts the MYSQL database as a data persistence tool, and simultaneously uses redis to cache data, and periodically updates the database data to the cache by the spring timed task.
As a preferred technical solution, in the step S3, the big data processing platform login and authority module is implemented by using a Spring integrated Shiro framework.
As a preferred technical solution, based on the acquired probe information in the tracing analysis of the epidemic situation contact person in the step S3, the WIFI probe may calculate the person position according to the detected mobile phone MAC signal strength and the trilateration algorithm:
(1) the distance between the preferred probe and each person can be calculated according to the signal strength RSSI and converted into a formula: di＝10((abs(RSSI)-A)/(10*n))
Wherein: wherein, RSSI is the intensity of the received signal, A is the signal intensity of the transmitting end and the receiving end which are separated by 1 meter, and n is the environmental attenuation factor.
(2) Secondly, the contact distance can be calculated out through trilateration algorithm to obtain the specific position of the person:
assuming that the coordinates of the WIFI probe are known as (Xi, Yi), for example, the coordinates of some three probes are respectively (X1, Y1), (X2, Y2), (X3, Y3), the specific coordinates (Xi, Yi) of the person can be calculated by using the trilateration algorithm, and the calculation formula is (X, Yi)i-xi)2+(Yi-yi)2＝Di 2
(3) Again, the two-person contact distance is estimated:
suppose a certain diagnosed patient is located at (x)1，y1) The position of the contact is (x)2，y2) The distance between the diagnosed patient and the contacted patient can be derived:
as a preferred technical solution, the big data processing platform in step S3 further includes patient data extraction management and personnel travel application scenario planning.
As a preferable technical solution, in step S3, information pushing of suspected persons is further included.
As a preferred technical scheme, the system adopts a design mode of separating a front end from a rear end.
Compared with the prior art, the invention provides the epidemic prevention traceability method based on the WIFI probe, which has the following beneficial effects:
1. according to the epidemic prevention traceability method based on the WIFI probe, online inquiry can be visually carried out, and potential possible patients can be quickly found out or positions of epidemic situation personnel can be quickly tracked and traced. If the tracked data is fed back to relevant departments, an effective epidemic situation management scheme is formulated, early tracing, early tracking and early management and control can be achieved, and therefore spreading of the epidemic situation is reduced. In addition, even if the epidemic situation goes by, the system can be used for tracking criminals by public security and the like.
2. According to the epidemic prevention traceability method based on the WIFI probe, the epidemic traceability system based on the WIFI probe is built through collection, transmission, storage, calculation analysis and the like of mobile phone MAC data acquired by front-end WIFI probe equipment, functions of epidemic traceability, crowd congestion early warning, track analysis and the like can be achieved, and powerful informationized support and guarantee are provided for safety management of urban citizens in trips.
3. According to the epidemic prevention traceability method based on the WIFI probe, real-time positioning and monitoring are carried out by using the WIFI probe, epidemic prevention and control personnel can directly master the positions of suspected cases and confirmed cases through a webpage end, and can trace the source through the MAC address on the mobile phone of a user, so that real-time monitoring can be achieved, and the suspected cases can be retrieved in the shortest time to be isolated. Real time monitoring can also manage and control personnel and can observe the actual personnel number of using the scene in real time, need not to go to the scene in person, just can count up personnel number with high accuracy, carries out personnel's statistics more high-efficiently and safely when reducing the human cost.
Detailed Description
The embodiments described herein are only a few embodiments of the present invention, rather than all embodiments, and all other embodiments that can be derived by one of ordinary skill in the art without making any creative effort based on the embodiments of the present invention belong to the protection scope of the present invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Example (b):
the epidemic prevention traceability method based on the WIFI probe comprises the following steps:
step S1: the WIFI probe acquisition equipment acquires a probe frame sent by the intelligent equipment;
step S2: uploading the acquired probe data to a cloud platform server;
step S3: the big data processing platform analyzes data, and analyzes the track of the activity of the personnel and the traceability of the epidemic situation contact personnel according to the signal intensity and the positioning algorithm of the mobile phone;
step S4: and presenting the data in the business application system.
In the above step S1, the WIFI probe receives the probe frame sent by the smart device, so as to obtain data of the device, including but not limited to the type of WIFI packet sent by the device, the time of receiving the signal, the MAC address information, and the RSSI information.
In the step S2, the system adopts the MYSQL database as a data persistence tool, meanwhile caches data using redis, and periodically updates database data to the cache through a spring timing task, thereby increasing performance and ensuring high availability.
In the step S3, the big data processing platform login and authority module is implemented by using a Spring integrated Shiro framework.
Based on the acquired probe information in the tracing analysis of the epidemic situation contact persons in the step S3, the WIFI probe can calculate the positions of the persons according to the detected mobile phone MAC signal strength and trilateral positioning algorithm:
(1) the distance between the preferred probe and each person can be calculated according to the signal strength RSSI and converted into a formula: di＝10((abs(RSSI)-A)/(10*n))
Wherein: wherein, RSSI is the intensity of the received signal, A is the signal intensity of the transmitting end and the receiving end which are separated by 1 meter, and n is the environmental attenuation factor.
(2) Secondly, the contact distance can be calculated out through trilateration algorithm to obtain the specific position of the person:
assuming that the coordinates of the WIFI probe are known as (Xi, Yi), for example, the coordinates of some three probes are respectively (X1, Y1), (X2, Y2), (X3, Y3), the specific coordinates (Xi, Yi) of the person can be calculated by using the trilateration algorithm, and the calculation formula is (X, Yi)i-xi)2+(Yi-yi)2＝Di 2
(3) Again, the two-person contact distance is estimated:
suppose a certain diagnosed patient is located at (x)1，y1) The position of the contact is (x)2，y2) The distance between the diagnosed patient and the contacted patient can be derived:
the WIFI probe can detect the stay time t of the mobile phone MAC at the designated position. The infection probability is proportional to the time of close contact, and the longer the close contact time, the higher the infection probability. While the probability of infection is inversely proportional to the distance of intimate contact, the smaller the contact distance the greater the probability of infection. In addition, the infection probability is related to the constitution of the individual, so that when the contact distance d is less than the specified social distance L or the contact stay time t is longer than the specified time K, the person who is in close contact can be judged, namely the formula (d < L | t > K) epsilon P.
The big data processing platform in step S3 further includes patient data extraction management and personnel travel application scenario planning.
In step S3, a suspected person information push is also included, and after a patient is diagnosed, the system can calculate the person who is in contact with (or at a short distance from) the patient based on the existing information. By matching with the short message service, people who contact the patient can be reminded to cooperate with epidemic prevention work in time.
The system adopts a design mode with the front end and the back end separated, and the development mode has the advantages that the front end and the back end can be developed simultaneously, the development of the front end can be carried out without waiting for the completion of the background development like the traditional development mode, the development efficiency is improved, the structure of the system is clearer, and the readability is higher. However, using the front-end and back-end development mode, the system may see that the front-end and the back-end are not under the same platform, and the front-end and the back-end will be blocked from communication for security. Therefore, the system performs cross-domain processing. The cross-domain can be solved through JSONP at the front end, however, JSONP can only send GET request, and has no way to send other kinds of requests, in RESTful style application, the table is very inconvenient, so the system processes the cross-domain problem by adding a @ Cross annotation on the controller in the background program.
After a user of the system logs in the background management system by using the administrator account, the information of patients, the data and the equipment information of all the patients can be inquired, and the specific positions of all the patients appearing last time and the complete tracks of the patients can be checked. Meanwhile, the background management system can regulate and inquire personal information of all managers, including account numbers, passwords, work numbers, mobile phones, names and the like, and know the condition of each manager.
The system generates simulation data based on a WIFI probe through an algorithm, the algorithm simulates the WIFI probe to acquire data such as MAC addresses and RSSI (received signal strength indicator) and the like in smart phones carried by guests, then the data processing is carried out in a background, a persistent framework Mybatis transmits the data to a MYSQL database for storage, as a jdbc program can carry out high-frequency connection opening and closing on the database, the performance of the database is wasted, and the performance of the database is also influenced, the Mybatis persistent framework is used for replacing a primary jdbc program, a redis cache is updated before the framework storage, the IO pressure on a terminal hard disk is reduced, when a front end page needs to display data, a post request is sent to a background through an Vue framework, after the background program receives a front end request and a Json object, the data needed by the front end page is returned to a primary path, a partial framework diagram is acquired and transmitted, and the mobile phone of a user does not need to be connected with a WiFi routing device, as long as the WiFi of the mobile phone equipment is started, the system can identify any WiFi mobile terminal, and the acquisition of front-end data is realized. The WIFI probe is used for real-time positioning and monitoring, epidemic prevention and control personnel can directly master the positions of suspected cases and confirmed cases through a webpage end and trace source tracing can be carried out through an MAC address on a mobile phone of a user, so that real-time monitoring can be achieved, and the suspected cases can be found back in the shortest time for isolation;
if suspected cases and confirmed cases appear, the front-end page can display names, mobile phone numbers and specific addresses of closely contacted patients inquired according to the MAC addresses of the patients. Meanwhile, the local infected people number can be inquired according to the specific address information. Next, comparing the obtained WIFI probe data according to an algorithm, obtaining the people flow rate taking a patient as the center and about 10m as the radius, simultaneously checking historical data of the people flow rate which visits the site once, facilitating the background to compare the historical data, sending the information and the site of the patient to be displayed to a background program by a front page, returning the processed data to the front page by the background program for displaying, and performing personnel tracking according to the information collected by the WIFI probe equipment bound in a specific coordinate site by the obtained Mac, the entering time cometime, the leaving time leavetime, the antenna number direction and the RSSI equivalent value;
after a patient is diagnosed, the positions of the staff and the wifi probe are judged in searching for the contact staff, the staff can be simplified into the following acquired mac points of the mobile phone terminal, and the distance between the staff can be calculated by the aid of trilateral positioning and centroid algorithm to calculate the RSS (received signal strength) of each mac. Therefore, based on the acquired probe information, the position information of the person can be estimated by using a trilateration and centroid algorithm through Received-signal-strength (RSS) or through a wireless fingerprint library. Simply put, as long as the user opens the cell-phone WiFi, the location of this cell-phone personnel can be carried out in the coverage of WiFi probe, and this system can calculate the people that contact (or keep a short distance away from) with the patient according to current information. By matching with the short message service, people who contact the patient can be reminded to cooperate with epidemic prevention work in time.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A WIFI probe-based epidemic prevention traceability method is characterized by comprising the following steps:
step S1: the WIFI probe acquisition equipment acquires a probe frame sent by the intelligent equipment;
step S2: uploading the acquired probe data to a cloud platform server;
step S3: the big data processing platform analyzes data, and analyzes the track of the activity of the personnel and the traceability of the epidemic situation contact personnel according to the signal intensity and the positioning algorithm of the mobile phone;
step S4: and presenting the data in the business application system.
2. The WIFI probe-based epidemic prevention traceability method of claim 1, wherein in step S1, the WIFI probe receives probe frame sent by the smart device, so as to obtain data of the device, including but not limited to type of WIFI packet sent by the device, time of receiving signal, MAC address information and RSSI information.
3. The WIFI probe-based epidemic prevention traceability method according to claim 2, wherein the system adopts a MYSQL database as a data persistence tool in step S2, meanwhile caches the data by using redis, and updates the database data to the cache periodically by a spring timing task.
4. The WIFI probe-based epidemic prevention traceability method of claim 3, wherein in the step S3, the big data processing platform login and authority module is implemented by using a Spring integrated Shiro framework.
5. The WIFI probe-based epidemic prevention traceability method according to claim 4, wherein based on the obtained probe information in the traceability analysis of epidemic exposure personnel in the step S3, the WIFI probe can calculate the personnel position according to the detected mobile phone MAC signal intensity and trilateration algorithm:
(1) the distance between the preferred probe and each person can be calculated according to the signal strength RSSI and converted into a formula: di＝10((abs(RSSI)-A)/(10*n))
Wherein: wherein, RSSI is the intensity of the received signal, A is the signal intensity of the transmitting end and the receiving end which are separated by 1 meter, and n is the environmental attenuation factor.
(2) Secondly, the contact distance can be calculated out through trilateration algorithm to obtain the specific position of the person:
assuming that the coordinates of the WIFI probe are known as (Xi, Yi), for example, the coordinates of some three probes are respectively (X1, Y1), (X2, Y2), (X3, Y3), the specific coordinates (Xi, Yi) of the person can be calculated by using the trilateration algorithm, and the calculation formula is (X, Yi)i-xi)2+(Yi-yi)2＝Di 2
(3) Again, the two-person contact distance is estimated:
suppose a certain diagnosed patient is located at (x)1，y1) The position of the contact is (x)2，y2) The distance between the diagnosed patient and the contacted patient can be derived:
6. the WIFI probe-based epidemic prevention traceability method of claim 5, wherein the big data processing platform in step S3 further comprises patient data extraction management and personnel travel application scenario planning.
7. The WIFI probe-based epidemic prevention traceability method according to claim 6, further comprising information push of suspected persons in step S3.
8. The WIFI probe-based epidemic prevention traceability method according to any one of claims 1 to 7, wherein the system adopts a design mode with a front end and a back end separated.
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| CN111866725A (en) * | 2020-05-29 | 2020-10-30 | 上海数喆数据科技有限公司 | People stream detection method based on WIFI probe technology |
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Application publication date: 20210402 |