CN111885502B - An early warning and traceability system and method for epidemic prevention and control that protects privacy - Google Patents

Abstract

The invention discloses an early warning and traceability system for epidemic prevention and control that protects privacy, comprising a data collection and storage module, an information integration module, an anonymous information announcement module, and a risk discrimination and processing module. The invention uses the WIFI Probe technology to record the equipment MAC address information of surrounding persons to judge whether there is contact between two users, judges the contact distance information by the strength of the WIFI signal, and judges the contact duration by the recorded time stamp difference. In addition, multi-source data such as electronic payment interface, ride information interface, and positioning information are used to assist risk identification and improve the reliability of data. The present invention will anonymously push the patient's data to the equipment of other users, and use the data of the other user's equipment and the patient's data to respectively compare and judge whether there is close contact with the patient. When there is a risk of being infected, the user is alerted, and when the risk is high, it is reported to the epidemic prevention and control server for further processing by the CDC.

Description

An early warning and traceability system and method for epidemic prevention and control that protects privacy

technical field

The invention relates to the problem of tracing the close contacts of patients in the field of virus prevention and control, and uses the relevant information of the patients to analyze the possible spread of the epidemic, and to give early warning notices to close contacts, and to report the information, so as to achieve the goal of minimizing and even zero infection.

Background technique

Cutting off the chain of infection is a very effective way to prevent and control viruses with strong transmission ability, latent potential, and greater transmission harm. However, due to its long incubation period and the ability to transmit during the incubation period, patients are usually isolated after they become ill. Contact tracing during the period from infection to symptom onset usually relies on oral information from patients, many of which have incomplete memory and omission of descriptions, making it difficult to find close contacts. Close contacts are often unknowingly infected and may infect more people without isolation before showing symptoms. In this case, the epidemic early warning and traceability system can give an early warning to the relevant close contacts after the patient shows symptoms and is admitted for treatment, and directly reports the basic information of the high-risk person for further processing by the disease control department. The above processing methods can be used to find out the possible transmission chain of the virus, control the possible transmission chain in time, and reduce further losses.

At present, the positioning systems of portable WIFI devices such as mobile phones mainly rely on three methods: first, the satellite positioning antennas in portable WIFI devices such as mobile phones receive signals from positioning systems such as GPS positioning systems and Beidou positioning systems for positioning; the second is to use portable WIFI such as mobile phones. The base station signal received by the device queries the location information of the base station to achieve positioning; the third is to use the known location information of the WIFI signal to achieve WIFI-assisted positioning (the principle is similar to that of base station positioning), this method is based on the condition that the position of the WIFI signal has been shared carried out below. The positioning accuracy of these three positioning methods: satellite positioning accuracy > base station positioning accuracy > WIFI-assisted positioning accuracy. At the same time, these positioning usually have a positioning error of 10-20 meters, and the satellite positioning method cannot be used for positioning in underground facilities such as subways. The positioning error of the equipment may further increase, and it is impossible to judge whether there is close contact. It is used for epidemic prevention and control and traceability. It is difficult to obtain more accurate statistics.

WIFI's IEEE802.11 protocol set contains ProbeRequest frame, WIFI device using this protocol will actively send ProbeRequest frame, the ProbeRequest frame carries the device's MAC address, WIFI signal strength and other information. When the WIFI network card turns on the monitor mode, it can monitor the MAC address, WIFI signal strength and other information of all WIFI devices within the detectable range of the signal. After the WIFI chip in a portable WIFI device such as a mobile phone turns on the monitor mode, it can record the MAC address information of all the surrounding WIFI devices, and the address information can uniquely identify a device. In addition, it can also record the signal strength from the WIFI device to the local machine. Through this parameter, more accurate relative distance information can be obtained to determine whether there is close contact. The contact time can also be calculated through the time stamp difference recorded by the information.

The health code technology classifies the user's virus-carrying risk level on the basis of big data, but the technology does not realize the traceability function of the epidemic situation, and also relies on the user's active information reporting, which has certain defects.

SUMMARY OF THE INVENTION

The present invention designs a traceability and early warning system in epidemic prevention and control by using portable intelligent WIFI networking equipment such as mobile phones. As shown in the sequence diagram in Figure 2, the system uses mobile phones and other portable smart WIFI networking devices to collect information on the electronic payment location interface and ride information interface, and records the MAC addresses and signals of nearby people's mobile phones and other portable smart WIFI networking devices through WIFIProbe technology. Intensity, calculates relative distance information to nearby people. Through the positioning function of portable smart WIFI networking devices such as mobile phones, including but not limited to satellite positioning, base station positioning, WIFI-assisted positioning and other functions to locate the absolute position information of the device. If the difference between the data collection time and the current time exceeds the incubation period of the virus, and the device owner has no symptoms of illness, the expired data will be deleted and new data will continue to be collected. If symptoms of illness occur, the activity track information saved in the device will be uploaded anonymously to the epidemic prevention and control server, and integrated with the oral information actively reported by the patient. The epidemic prevention and control server pushes the information to other users, and all devices that receive the information compare their own data to determine whether the absolute position of their own data and the absolute position of the patient's data overlap and the relative positions are very close. When this happens, it is determined that the current device owner is a close contact, and an alarm notification is given. The device classifies the possibility of infection of the owner of the device according to the closeness of the contact with the patient (distance, length of time). Diagnose and evaluate and trace all high-risk populations.

An early warning and traceability system for epidemic prevention and control proposed by the present invention includes: a data collection and storage module, an information integration module, an anonymous information announcement module, and a risk discrimination and processing module;

The data collection and storage module is responsible for the collection and storage of location information, and includes four functional modules, namely, an electronic payment information collection and storage module, a ride information collection and storage module, a signal strength information collection and storage module, and a positioning information collection and storage module. ;

The information integration module is responsible for integrating the data of the data acquisition and storage module with the oral information of the patient after the user is diagnosed with virus infection, and deletes redundant information;

The anonymous information announcement module is responsible for cleaning and visualizing the patient's data, and then pushing the current patient's anonymous information to users of all systems, including the patient's activity track information and the device's MAC address information;

The risk discrimination and processing module is responsible for receiving the push of patient information, and compares the device MAC address and trajectory information of the patient with the device MAC address and trajectory information of the contacts saved by itself. Determine the infection risk level of the current device owner, and if there is a possibility of being infected, send an alarm message to the device owner; if it is determined to be in close contact with a person and the risk of being infected is extremely high, the device automatically sends a message to the epidemic prevention and control server Basic information about the device owner.

The information integration module of the present invention inputs the patient's oral memory information into the database, and converts it into longitude and latitude information through an interface; integrates the longitude, latitude and time columns of the payment location information table, the positioning information table and the converted oral information table to generate a Sheet of information integration.

The functions of the information integration module of the present invention are all run on the epidemic prevention and control server except for uploading the information of the data collection and storage modules.

In the present invention, all data recorded by uninfected users are encrypted and stored locally, and data whose storage time exceeds the virus incubation period will be deleted.

Based on the above system, the present invention also proposes an early warning and traceability method for epidemic prevention and control, comprising the following steps:

S1. Collect data and generate payment location information table, transportation information table, WIFIProbe detection information table, and positioning information table; regularly check the data of each information table, if the data storage time exceeds the incubation period of the virus, delete the relevant data entry;

S2. Extract key information from the activity track information entered by the patient to generate a memory oral information table, and upload it to the epidemic prevention and control server together with the information of the payment location information table, the transportation information table, the MAC address information and the positioning information table. Integrate to generate an information integration table;

S3. Clean the data in the information integration table, mark the longitude, latitude and time stamp information of the patient's information integration table on the map for visual display, and then display the activity track of the memory oral information table on the bulletin board; The information integration table, the transportation information table and the MAC address information table are pushed to users other than patients;

S4. If the user is at risk of being infected, the risk warning module will automatically issue an infection risk warning to the user; if the user is a close contact and the risk of being infected is high, the risk reporting module will automatically report to the epidemic prevention and control The server sends the basic information of the user.

In the present invention, the step S1 includes:

Step S101. Every fixed time, the electronic payment information collection and preservation module utilizes the interface of the third-party payment platform to obtain the information of electronic payment, and the longitude coordinates and latitude coordinates of the store where the electronic order is located and the time of payment are saved to the payment location information table;

Step S102. Every fixed time, the travel information collection and storage module uses the interface to query and obtain the vehicle, train number, and seat number information that the user rides, and save it into the travel vehicle information table;

Step S103. Use WIFIProbe to record the MAC address, signal strength information and time stamp information of surrounding devices in real time, and save them to the WIFIProbe detection information table;

Step S104. Use satellite positioning, base station positioning, and WIFI-assisted positioning to obtain longitude and latitude information and time stamp information of the device, and save it to the positioning information table;

Step S105. Regularly check each table in the database, and subtract the data storage time from the current time to obtain the data storage duration. If the data storage duration exceeds the virus incubation period, delete the relevant data entry in the database.

In the present invention, the step S2 includes:

S201. Upload the information of the data collection and storage module including the payment location information table, the transportation information table, the MAC address information and the positioning information table to the epidemic prevention and control server respectively;

S202. The CDC urges the patient to manually enter the activity track information, extract the key information in the oral information such as activity time, activity location, and close contacts, obtain a memorized oral information table, and upload it to the epidemic prevention and control server; the server uses the map interface, Convert event location information into latitude and longitude coordinates;

S203. Integrate the longitude, latitude and time columns of the payment location information table, the positioning information table and the transformed oral information table to generate an information integration table, and delete some redundant information.

In the present invention, the step S3 includes:

S301. Using the timestamp information in the information integration table as the sorting basis, arrange all the information in ascending order of time, and delete the latitude and longitude coordinates with larger outliers in the sequence; then use the Kmeans algorithm to cluster the data in the information integration table, K The value is set to the number of data items in the information integration table/n, and the n value is the multiple that needs to be scaled to the number of data. The larger the n value, the less the number of clustered data points; then the clustered patient information The latitude, longitude and timestamp information of the integrated table are marked on the map for visual display, and then the activity track of the memory oral information table is displayed on the bulletin board;

S302. Push the patient's unclustered information integration table, the transportation information table and the MAC address information table to all users who use the system except the patient.

In the present invention, the step S4 includes:

S401. Receive the patient's information integration table, the vehicle information table and the MAC address information pushed by the information push module, and sort each information table in ascending order of timestamp;

S402. Group the information items in the same time range of the patient's information integration table and the current user's information integration table, and use the Haversine formula to calculate the spherical distance between the two users in each group:

和

是两点的纬度值，λ₁和λ₂是两点的经度值，r是地球半径；如果患者和当前用户存在多个时间分组内距离小于一定的阈值则提升该用户的感染风险等级；in,

and

is the latitude value of two points, λ ₁ and λ ₂ are the longitude values of the two points, and r is the radius of the earth; if the distance between the patient and the current user in multiple time groups is less than a certain threshold, the user's infection risk level will be increased;

S403. Compare the patient's transportation information table with the current user's transportation information table to find out whether there is a situation of taking the same shift of transportation, and if it occurs and the seat number is far away, set it as a low risk; If it appears and the seat number is close, it is set as high risk;

S404. Query whether the MAC address of the patient's device exists in the MAC address saved by the device, and if so, use the signal strength to divide the risk into three levels; and then judge that there is close contact according to the difference information of the time stamps. The larger the value, the longer the contact time. If there is close contact, the infection risk level will be set to high risk;

S405. If the device owner has a risk of being infected, the risk alarm module automatically sends an infection risk alarm to the owner;

S406. If the device owner is a close contact and the risk of being infected is high, the risk reporting module automatically sends the basic information of the device owner to the epidemic prevention and control server.

The invention uses multi-source data as a risk assessment factor, accesses ride information and electronic payment information, and uses the address information of a third-party platform to convert it into trajectory information to further assist trajectory determination. In addition to using traditional positioning methods such as satellite positioning, base station positioning, and WIFI-assisted positioning to determine the absolute position and achieve track comparison, the present invention also uses the WIFIProbe technology to record the equipment MAC addresses and WIFI signal strength information of surrounding personnel. This technology only needs to keep the WIFI of the device turned on, and can record the MAC address and signal strength of other devices without connection. More accurate close contact statistics.

Compared with the existing epidemic prevention and control methods using big data, such as health codes, the present invention has the following innovations:

The present invention uses multi-source data for risk assessment, risk warning and risk reporting, and has higher reliability and accuracy.

The invention uses the WIFIProbe technology to record the equipment MAC address information of the surrounding people to judge whether there is contact between the two users, and judges the distance information of the contact through the strength of the WIFI signal. Only collecting the device MAC address information and WIFI signal strength of surrounding users will not reveal the information of surrounding users, and the information is only stored in the user's computer for a period of time (the incubation period of the virus), even if the device is hacked, it will not cause any damage. Large-scale leakage of data information. In addition, multi-source data is utilized to enhance the reliability and accuracy of the system.

Description of drawings

Figure 1. Module diagram of the epidemic prevention and control and traceability system that protects privacy.

Figure 2 Sequence diagram of the epidemic prevention and control and traceability system that protects privacy.

Figure 3 Activity diagram of the epidemic prevention and control and traceability system to protect privacy.

Figure 4 Payment location information table.

FIG. 5 takes the transportation information table.

Figure 6 WIFIProbe detection information table.

Fig. 7 Positioning information table.

Figure 8 Memory dictation information table.

Figure 9. Conversion table of signal strength and risk level.

Detailed ways

The invention will be further described in detail with reference to the following specific embodiments and accompanying drawings. Except for the content specifically mentioned below, the process, conditions, experimental methods, etc. for implementing the present invention are all common knowledge and common knowledge in the field, and the present invention is not particularly limited.

The present invention is an epidemic prevention and control traceability system, which is divided into four modules, as shown in Figure 1, including:

S1. Data acquisition and storage module. The data collection and storage module is mainly responsible for the collection and storage of location information, including four functional modules, namely the electronic payment information collection and storage module, the ride information collection and storage module, and the WIFIProbe information including the device's MAC address and signal strength information collection and storage module , Satellite positioning, base station positioning, WIFI-assisted positioning information collection and storage module.

The steps are as follows:

Step S101. Every fixed time, the electronic payment information collection and storage module uses the interface of the third-party payment platform to obtain the location information of the electronic payment and save it to the local database.

Step S102. Every fixed time, the travel information collection and storage module uses the interface to query and obtain the information about the vehicle, the number of trains, and the travel time, and save the information to the local database.

Step S103. Use WIFIProbe to record the MAC address, signal strength information and time stamp information of surrounding devices in real time, and save them to a local database.

Step S104. Use positioning methods such as satellite positioning, base station positioning, WIFI-assisted positioning, etc. to obtain the position information and time stamp information of the device, and save them to a local database.

Step S105. Regularly check each table in the database, and subtract the data storage time from the current time to obtain the data storage duration. If the data storage duration exceeds the virus incubation period, delete the relevant data entry in the database.

S2. Information integration module. The information integration module is responsible for integrating the data of the data collection and storage module with the oral information of the patient after the user is diagnosed with virus infection, and deletes redundant information. First, the patient's oral memory information is input into the database, and then converted into latitude and longitude information through the interface. Then, the longitude, latitude and time columns of the payment location information table, the positioning information table and the converted oral information table are integrated to generate an information integration table.

The steps are as follows:

S201. Upload the information of the data collection and storage module to the epidemic prevention and control server.

S202. The CDC urges the patient to manually enter the activity track information, extracts key information in the oral information such as activity time, activity location, and close contacts, obtains the memory oral information table as shown in Figure 8, and uploads it to the epidemic prevention and control server. The server uses a map interface to convert event location information into latitude and longitude coordinates.

S203. Integrate the oral extraction information with the information of the data collection module, delete some redundant information, and then transmit it to the anonymous information announcement module.

S3. Anonymous information announcement module. The anonymous information announcement module is responsible for processing the information of the information integration module, cleaning the data, displaying it visually, and pushing the anonymous information of the current patient to the users of all systems, including the location information, the MAC address information of the device, and so on.

The steps are as follows:

S301. Receive information from the information integration module, perform data cleaning and processing, and mark the patient's activity track on a map for visual display.

S302. Push the patient's device MAC address information and activity track information to users of all systems.

S4. Risk identification and processing module. This module is responsible for receiving the push of patient information, compares the MAC address and trajectory information of the patient's device with the device MAC address and trajectory information of the contacts saved by itself, and judges whether the current device has contact based on the presence or absence of contact, contact distance, contact duration and other information. If there is a possibility of being infected, a warning message will be sent to the owner of the device to isolate it as soon as possible to reduce the possible risk of transmission. If it is judged that the person is in close contact and the risk of being infected is extremely high, the automatic epidemic prevention and control server of the equipment sends the basic information of the equipment owner, so that the CDC can detect and diagnose them as soon as possible, and cut off the spread of the virus.

The steps are as follows:

S401. Receive the patient's device MAC address information and activity track information pushed by the information push module, and perform clustering processing on the device's track information and the patient's track information to reduce computational complexity.

S402. Query whether the MAC address of the patient's device exists in the MAC address saved by the device, and if so, increase the infection risk level of the owner of the device. Then, the difference information between the distance and the time stamp recorded according to the signal strength is used to determine the situation of close contact. If there is a situation of close contact, the infection risk level is set to be lower than the highest.

S403. Calculate the trajectory clustering between the patient and the device owner, and calculate the distance and similarity of the trajectory after the clustering. If the same time distance is close or the trajectory similarity is high, the infection risk level of the device owner will be increased.

S404. If the device owner has a risk of being infected, the risk alarm module automatically sends an infection risk alarm to the owner.

S405. If the device owner is a close contact and has a high risk of being infected, the risk reporting module's automatic epidemic prevention and control server sends the basic information of the device owner, so that the disease control department can quickly control the close contact information.

The present invention designs a system that uses mobile phones and other portable devices supporting WIFI to record information, and realizes the traceability and alarm system for the close contacts of infected persons after the outbreak of the epidemic. It has the following characteristics:

The information used in the present invention, including track information, ride information, electronic payment information, MAC address and signal strength of WIFI equipment, etc., is usually only kept in its own equipment, and only after the virus infection is diagnosed, the information is processed. Anonymous sharing helps find close contacts and can ensure user privacy.

Example

The invention discloses an epidemic early warning and traceability system. The system uses portable WIFI devices to collect information related to personal activity trajectories. When a user is diagnosed with virus infection, the personal activity trajectory, unique identification and other information are shared, so as to realize automatic device automatic detection of all users. Determine whether you have close contact with the patient. If the risk of being infected is high, it will automatically report the information to the disease control department to realize the traceability of close contacts in epidemic prevention and control.

In order to clearly describe the epidemic early warning and traceability system, the present invention provides a module diagram of the system as shown in Figure 1, a sequence diagram as shown in Figure 2 and an activity diagram as shown in Figure 3. Among them, the module diagram describes the functional module division of the system, and the sequence diagram describes the sequence information of the execution process of the system. In the activity diagram, the present invention divides the objects of the system into four types, virus-infected users, ordinary users, medical institutions, and epidemic prevention and control servers. The main activities of virus-infected users and ordinary users are information collection and storage. After a virus-infected user is diagnosed with infection, the oral information, trajectory and device MAC address information are integrated and uploaded to the epidemic prevention and control server. After the epidemic prevention and control server announces and visualizes the patient information, it pushes the patient's trajectory and MAC address information to other ordinary users. Ordinary user equipment compares the patient information with the information stored in its own equipment, makes risk identification, and issues a risk warning when there is a risk. For further processing, such as testing or medical diagnosis.

The specific implementation of the system is as follows:

S1. The data collection and storage module is a user equipment end module, which uses the electronic payment information collection and storage module, the ride information collection and storage module, the WIFIProbe information (including the device's MAC address, signal strength information) collection and storage module, and satellite positioning. , Base station positioning, WIFI auxiliary positioning information collection and storage module to record the user's activity track information.

The steps are as follows:

Step S101. Every fixed time, the electronic payment information collection and preservation module utilizes the interface of the third-party payment platform to obtain the information of electronic payment, and saves the longitude coordinates and latitude coordinates of the store where the electronic order is located and the time of payment as shown in Figure 4. The payment location information table of the local database.

Step S102. Every fixed time, the travel information collection and storage module uses the interface to query and obtain the vehicle, train number, and seat number information of the user, and save it to the travel information table of the local database as shown in FIG. 5 .

Step S103. Use the WIFIProbe to record the MAC addresses, signal strength information and timestamp information of the surrounding devices in real time, and save them to the local database WIFIProbe detection information table as shown in FIG. 6 .

Step S104. Use positioning methods such as satellite positioning, base station positioning, and WIFI-assisted positioning to obtain the latitude and longitude information and timestamp information of the device, and save it to the local database positioning information table as shown in FIG. 7 .

Step S105. Regularly check each table of the local database, subtract the data storage time from the current time to obtain the data storage duration, and delete the relevant data entry in the database if the data storage duration exceeds the virus incubation period.

S2. The information integration module is responsible for integrating the data of the data collection and storage module with the oral information of the patient after the user is diagnosed with virus infection, and deletes redundant information. First, the patient's oral memory information is input into the database, and then converted into latitude and longitude information through the interface. Then, the longitude, latitude and time columns of the payment location information table, the positioning information table and the converted oral information table are integrated to generate an information integration table. The functions of this module run on the epidemic prevention and control server, except for uploading the information of the data collection and storage modules.

The steps are as follows:

S201. Upload the information of the data collection and storage module including the payment location information table, the transportation information table, the MAC address information and the positioning information table to the epidemic prevention and control server respectively.

S202. The CDC urges the patient to manually enter the activity track information, extracts key information in the oral information such as activity time, activity location, and close contacts, obtains the memory oral information table as shown in Figure 8, and uploads it to the epidemic prevention and control server. The server uses a map interface to convert event location information into latitude and longitude coordinates.

S203. Integrate the longitude, latitude and time columns of the payment location information table, the positioning information table and the converted oral information table to generate an information integration table (this table has the same format as the positioning information table, including longitude column, latitude column, time Stamp column), and delete some redundant information.

S3. The anonymous information announcement module is a functional module of the epidemic prevention and control server, which is responsible for cleaning and visualizing the patient's data, and then pushing the current patient's anonymous information to all users of the system, including the patient's activity track information, and the MAC of the device. address information, etc.

The steps are as follows:

S301. Receive the processed information of the information integration module (including the information integration table, the vehicle information table and the WIFIProbe detection information table), and perform data cleaning on the data in the information integration table. Take the timestamp information in the information integration table as the sorting basis, arrange all the information in ascending order of time, and delete the latitude and longitude coordinates with large outliers in the sequence. Then use the Kmeans algorithm to cluster the data in the information integration table. The K value is set to the number of data items in the information integration table/n, and the n value is the multiple that needs to be scaled to the number of data. The larger the n value, the more clustered data. The number of points is less. Then, the latitude, longitude and timestamp information of the clustered patient information integration table are marked on the map application for visual display, and then the text information of the activity track of the memory oral information table is displayed on the platform bulletin board.

S302. Push the patient's information integration table (not clustered), the transportation information table and the MAC address information table to all users who use the system except the patient.

S4. The risk discrimination and processing module is a module on the user equipment side. This module is responsible for receiving the push of patient information, comparing the device MAC address and trajectory information of the patient with the device MAC address and trajectory information of the contacts saved by itself, and judging based on the presence or absence of contact, the distance and the length of the contact time. The current infection risk level of the device owner. If there is a possibility of being infected, an alarm message is sent to the device owner, so that they can be isolated as soon as possible to reduce the possible spread risk. If it is judged that the person is in close contact and the risk of being infected is extremely high, the device automatically sends the basic information of the device owner to the epidemic prevention and control server, so that the CDC can detect and diagnose it as soon as possible and cut off the spread of the virus.

The steps are as follows:

S401. Receive the patient's information integration table, the vehicle information table and the MAC address information pushed by the information push module, and sort each information table in ascending order of timestamp.

S402. Group the information items in the same time range of the patient's information integration table and the current user's information integration table, and use the Haversine formula to calculate the spherical distance positioned between the two users in each group.

和

是两点的纬度值，λ₁和λ₂是两点的经度值，r是地球半径。如果患者和当前用户存在多个时间分组内距离小于一定的阈值(如10米)则提升该用户的感染风险等级。in

and

is the latitude value of the two points, λ ₁ and λ ₂ are the longitude values of the two points, and r is the radius of the earth. If the distance between the patient and the current user in multiple time groups is less than a certain threshold (for example, 10 meters), the infection risk level of the user is increased.

S403. Compare the patient's transportation information table with the current user's transportation information table to find out whether there is a situation of taking the same shift of transportation, and if it occurs and the seat number is far away, set it as a low risk; If it appears and the seat number is close, it is set as high risk.

S404. Query whether the MAC address of the patient's device exists in the MAC address saved by the device, and if so, use the signal strength to divide the risk into three levels as shown in the conversion table of signal strength and risk level in FIG. 9 . Then, according to the difference information of the time stamps, it is judged that there is close contact. The greater the difference between the time stamps, the longer the contact time. If there is close contact, the infection risk level is set to high risk.

S405. If the device owner has a risk of being infected, the risk alarm module automatically sends an infection risk alarm to the owner.

S406. If the device owner is a close contact and the risk of infection is high, the risk reporting module will automatically send the basic information of the device owner to the epidemic prevention and control server, so that the disease control department can quickly control the close contact information .

The invention discloses an early warning and traceability system for epidemic prevention and control that protects privacy, comprising a data collection and storage module, an information integration module, an anonymous information announcement module, and a risk discrimination and processing module. The invention uses the WIFIProbe technology to record the device MAC address information of the surrounding people to judge whether there is contact between two users, judges the contact distance information by the strength of the WIFI signal, and judges the contact duration by the recorded time stamp difference. In addition, multi-source data such as electronic payment interface, ride information interface, and positioning information are used to assist risk identification and improve the reliability of data. The present invention will anonymously push the patient's data to the equipment of other users, and use the data of the other user's equipment and the patient's data to compare and judge whether there is close contact with the patient. When there is a risk of being infected, the user is alerted, and when the risk is high, it is reported to the epidemic prevention and control server for further processing by the CDC.

The protection content of the present invention is not limited to the above embodiments. Variations and advantages that can occur to those skilled in the art without departing from the spirit and scope of the inventive concept are included in the present invention, and the appended claims are the scope of protection.

Claims (8)

1. A method for early warning and traceability of epidemic prevention and control, characterized in that, an early warning and traceability system for epidemic prevention and control is adopted, and the system comprises: a data acquisition and storage module, an information integration module, an anonymous information announcement module, and a risk discrimination and processing module ;in, The data collection and storage module is responsible for the collection and storage of location information, and includes four functional modules, namely, an electronic payment information collection and storage module, a ride information collection and storage module, a signal strength information collection and storage module, and a positioning information collection and storage module. ; The information integration module is responsible for integrating the data of the data acquisition and storage module with the oral information of the patient after the user is diagnosed with virus infection, and deletes redundant information; The anonymous information announcement module is responsible for cleaning and visualizing the patient's data, and then pushing the current patient's anonymous information to all users of the system, where the anonymous information includes the patient's activity track information; The risk discrimination and processing module is responsible for receiving the push of patient information, and compares the device MAC address and trajectory information of the patient with the device MAC address and trajectory information of the contacts saved by itself. Determine the infection risk level of the current device owner, and if there is a possibility of being infected, send an alarm message to the device owner; if it is determined to be in close contact with a person and the risk of being infected is extremely high, the device automatically sends a message to the epidemic prevention and control server Basic information of the device owner; The method includes the following steps: S1. Collect data and generate payment location information table, transportation information table, WIFI Probe detection information table, and positioning information table; regularly check the data of each information table, if the data storage time exceeds the incubation period of the virus, delete the relevant data entry ; S2. Extract key information from the activity track information entered by the patient to generate a memory oral information table, and upload it to the epidemic prevention and control server together with the information of the payment location information table, the transportation information table, the MAC address information and the positioning information table. Integrate to generate an information integration table; S3. Clean the data in the information integration table, mark the longitude, latitude and time stamp information of the patient's information integration table on the map for visual display, and then display the activity track of the memory oral information table on the bulletin board; The information integration table and the transportation information table are pushed to users other than patients; S4. If the user is at risk of being infected, the risk warning module will automatically issue an infection risk warning to the user; if the user is a close contact and the risk of being infected is high, the risk reporting module will automatically report to the epidemic prevention and control The server sends the basic information of the user. 2. The epidemic prevention and control early warning and tracing method as claimed in claim 1, wherein the step S1 comprises: Step S101. Every fixed time, the electronic payment information collection and preservation module utilizes the interface of the third-party payment platform to obtain the information of electronic payment, and the longitude coordinates and latitude coordinates of the store where the electronic order is located and the time of payment are saved to the payment location information table; Step S102. Every fixed time, the travel information collection and storage module uses the interface to query and obtain the vehicle, train number, and seat number information that the user rides, and save it into the travel vehicle information table; Step S103. Use the WIFI Probe to record the MAC address, signal strength information and time stamp information of the surrounding equipment in real time, and save it to the WIFI Probe detection information table; Step S104. Use satellite positioning, base station positioning, and WIFI-assisted positioning to obtain longitude and latitude information and time stamp information of the device, and save it to the positioning information table; Step S105. Regularly check each table in the database, and subtract the data storage time from the current time to obtain the data storage duration. If the data storage duration exceeds the virus incubation period, delete the relevant data entry in the database. 3. The method for early warning and tracing of epidemic prevention and control as claimed in claim 1, wherein the step S2 comprises: S201. Upload the information of the data collection and storage module including the payment location information table, the transportation information table, the MAC address information and the positioning information table to the epidemic prevention and control server respectively; S202. The CDC urges the patient to manually enter the activity track information, extract the key information in the oral information such as activity time, activity location, and close contacts, obtain a memorized oral information table, and upload it to the epidemic prevention and control server; the server uses the map interface, Convert event location information into latitude and longitude coordinates; S203. Integrate the longitude, latitude and time columns of the payment location information table, the positioning information table and the transformed memory oral information table to generate an information integration table, and delete some redundant information. 4. The method for early warning and tracing of epidemic prevention and control as claimed in claim 1, wherein the step S3 comprises: S301. Using the timestamp information in the information integration table as the sorting basis, arrange all the information in ascending order of time, and delete the latitude and longitude coordinates with larger outliers in the sequence; then use the Kmeans algorithm to cluster the data in the information integration table, K The value is set to the number of data items in the information integration table, n, the value of n is the multiple that needs to be scaled to the number of data. The larger the value of n, the less the number of clustered data points; then the information of the clustered patients is integrated. The latitude, longitude and timestamp information of the table are marked on the map for visual display, and then the activity track of the memory oral information table is displayed on the bulletin board; S302. Push the patient's unclustered information integration table and the transportation information table to all users who use the system except the patient. 5. The method for early warning and tracing of epidemic prevention and control as claimed in claim 1, wherein the step S4 comprises: S401. Receive the patient's information integration table, the vehicle information table and the MAC address information pushed by the information push module, and sort each information table in ascending order of timestamp; S402. Group the information items in the same time range of the patient's information integration table and the current user's information integration table, and use the Haversine formula to calculate the spherical distance between the two users in each group:

in,

and

is the latitude value of two points, λ ₁ and λ ₂ are the longitude values of the two points, and r is the radius of the earth; if the distance between the patient and the current user in multiple time groups is less than a certain threshold, the user's infection risk level will be increased; S403. Compare the patient's transportation information table with the current user's transportation information table to find out whether there is a situation of taking the same shift of transportation, and if it occurs and the seat number is far away, set it as a low risk; If it appears and the seat number is close, it is set as high risk; S404. Query whether the MAC address of the patient's device exists in the MAC address saved by the device, and if so, use the signal strength to divide the risk into three levels; and then judge that there is close contact according to the difference information of the time stamps. The larger the value, the longer the contact time. If there is close contact, the infection risk level will be set to high risk; S405. If the device owner has a risk of being infected, the risk alarm module automatically sends an infection risk alarm to the owner; S406. If the device owner is a close contact and the risk of being infected is high, the risk reporting module automatically sends the basic information of the device owner to the epidemic prevention and control server. 6. The method for early warning and tracing of epidemic prevention and control as claimed in claim 1, wherein the information integration module inputs the memory information spoken by the patient into a database, and converts it into longitude and latitude information through an interface; The longitude, latitude and time columns of the information table and the transformed memory dictation information table are integrated to generate an information integration table. 7. The method for early warning and tracing of epidemic prevention and control as claimed in claim 1, wherein the functions of the information integration module all run on the epidemic prevention and control server except for uploading the information of the data collection and storage module. 8. The method for early warning and tracing of epidemic prevention and control as claimed in claim 1, wherein all data recorded by uninfected users are encrypted and stored locally, and data whose storage time exceeds the virus incubation period will be deleted.

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