Epidemic site area risk determination method and device, terminal equipment and storage medium

Abstract

The invention discloses an epidemic site area risk determination method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining a current position and epidemic site basic data of a plurality of epidemic sites; wherein the basic data of the epidemic site comprises the position of the epidemic site and the area of the epidemic site influenced by the epidemic site; for each epidemic site, taking the position of the epidemic site as a circle center, and according to the radiuses of the risk areas corresponding to different risk levels, constructing each epidemic site risk area taking the epidemic site as the center; determining a risk level corresponding to each sub-region in the epidemic site region according to the intersection condition of the epidemic site region and each epidemic site risk region; calculating a distance value between the current position and each epidemic site according to the current position and the epidemic site position; and determining a final risk level corresponding to the current position according to each distance value and the risk level of each sub-region in each epidemic point region. According to the invention, the work efficiency of epidemic situation disposal work is improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet data processing technology, and in particular to a method, device, terminal equipment and storage medium for determining the risk of an epidemic area. Background Art

[0002] In the epidemic response work, quickly and accurately grasping the distance between people and the outbreak point or potential infection source is of great significance for effectively preventing the spread of the virus and protecting public health. At present, in the epidemic response of mosquito-borne infectious diseases such as dengue fever, chikungunya fever and Zika virus disease, it is necessary to delineate the epidemic points according to the high-risk points of case activities to determine the scope of epidemic control work such as household searches, health education, breeding ground cleaning and emergency mosquito control. However, in the current epidemic point delineation work, electronic maps are relied on to mechanically delineate the scope of the core area, warning area and monitoring area. When the number of cases is large, the core area and the warning area overlap, and the warning area and the monitoring area overlap, which has limitations, resulting in unclear regional risk prevention and control, making it impossible to quickly grasp the distribution of epidemic points during the epidemic response process, thereby affecting the efficiency of epidemic response work. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, terminal device and storage medium for determining the risk of epidemic point areas, which can effectively solve the problem that the regional risk prevention and control in the prior art is unclear, making it impossible to quickly grasp the distribution of epidemic points during the epidemic handling process, thereby affecting the handling efficiency of the epidemic handling work.

[0004] An embodiment of the present invention provides a method for determining the risk of an epidemic area, comprising:

[0005] Obtaining basic data of the current location and several epidemic points; wherein the basic data of the epidemic points include: the location of the epidemic point and the epidemic point area affected by the epidemic point;

[0006] For each epidemic point, take the epidemic point as the center of the circle, and construct the risk areas of each epidemic point centered on the epidemic point according to the radius of the risk area corresponding to different risk levels;

[0007] According to the intersection of the epidemic point area and each epidemic point risk area, determine the risk level corresponding to each sub-area within the epidemic point area;

[0008] According to the current position and the location of the epidemic point, the distance between the current position and each epidemic point is calculated;

[0009] The final risk level corresponding to the current location is determined based on the distance values ​​and the risk levels of each sub-area in each epidemic point area.

[0010] Further, according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area, the final risk level corresponding to the current location is determined, including:

[0011] Determine the risk level of the current location at each epidemic point according to the distance values ​​and the risk level of each sub-area in each epidemic point area;

[0012] Under each epidemic point, the risk level of the current location is sorted from large to small, and the largest risk level is taken as the final risk level corresponding to the current location.

[0013] Furthermore, the basic data of the epidemic point also includes: the number of cases associated with the epidemic point;

[0014] The method for determining the risk of the epidemic point area also includes:

[0015] Mark the current location, the location of each epidemic point, and the number of epidemic point-associated cases corresponding to each epidemic point on the preset regional map;

[0016] Arrange the distance values ​​between the current position and each epidemic point in ascending order. When the distance value does not exceed the preset distance threshold, the corresponding epidemic point is marked with the first color, and the distance value is marked on the corresponding epidemic point;

[0017] When the distance value exceeds a preset distance threshold, the corresponding epidemic point is marked with a second color; wherein the first color is different from the second color.

[0018] Furthermore, it also includes:

[0019] During the preset monitoring time, according to the number of cases associated with the current epidemic point and the number of cases associated with the initial epidemic point corresponding to each epidemic point, it is judged whether the current epidemic point meets the epidemic point closure result; among which, the number of cases associated with the initial epidemic point is the number of cases associated with the epidemic point when the epidemic point is first generated;

[0020] When the number of cases associated with the current epidemic point corresponding to the current epidemic point is greater than the number of cases associated with the initial epidemic point, it is determined that the current epidemic point does not meet the epidemic point closure result, and the number of cases associated with the current epidemic point continues to be monitored;

[0021] When the number of cases associated with the current epidemic point corresponding to the current epidemic point is less than or equal to the number of cases associated with the initial epidemic point, the mosquito density value is obtained;

[0022] If the mosquito density value is less than the preset mosquito density safety value, the current epidemic point is determined to be in line with the epidemic point closure result, and the current epidemic point is deleted;

[0023] If the mosquito density value is greater than or equal to the preset mosquito density safety value, it is determined that the current epidemic point does not meet the epidemic point closure results, and the number of cases associated with the current epidemic point will continue to be monitored.

[0024] Furthermore, it also includes:

[0025] When the current position changes, the change coordinates of the current position are recorded in real time;

[0026] The change coordinates of the current position are stored in a preset position coordinate database; wherein the position coordinate database includes a position number, a current position and a change coordinate of the current position; each current position corresponds to a position number;

[0027] According to the position number and the change coordinates of the current position, the change coordinates corresponding to each position number are mapped to a preset area map, so that the change path of the current position is displayed on the preset area map.

[0028] Furthermore, it also includes: in the case where the current position changes, generating a predicted trajectory according to the change of the current position within a preset time period;

[0029] Determine the final risk level corresponding to each location point in the predicted trajectory;

[0030] Generate risk protection information corresponding to each location point according to the final risk level corresponding to each location point in the predicted trajectory; wherein the risk protection information is used to indicate the risk protection measures that the user needs to perform under the corresponding final risk level;

[0031] The predicted trajectory and the risk protection information are displayed on the regional map.

[0032] As an improvement of the above solution, another embodiment of the present invention provides a device for determining the risk of an epidemic point area, including:

[0033] The epidemic point data acquisition module is used to obtain the basic data of the current location and several epidemic points; wherein the basic data of the epidemic point includes: the location of the epidemic point and the epidemic point area affected by the epidemic point;

[0034] The epidemic point risk area construction module is used to construct each epidemic point risk area centered on the epidemic point, taking the epidemic point location as the center of the circle and according to the radius of the risk area corresponding to different risk levels;

[0035] The first risk level determination module is used to determine the risk level corresponding to each sub-area in the epidemic point area according to the intersection of the epidemic point area and each epidemic point risk area;

[0036] The epidemic point distance calculation module is used to calculate the distance between the current position and each epidemic point according to the current position and the epidemic point position;

[0037] The second risk level determination module is used to determine the final risk level corresponding to the current location based on the distance values ​​and the risk level of each sub-area in each epidemic point area.

[0038] Furthermore, the second risk level determination module is used to determine the final risk level corresponding to the current location according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area;

[0039] According to the distance values ​​and the risk levels of each sub-area in each epidemic point area, the final risk level corresponding to the current location is determined, including:

[0040] Determine the risk level of the current location at each epidemic point according to the distance values ​​and the risk level of each sub-area in each epidemic point area;

[0041] Under each epidemic point, the risk level of the current location is sorted from large to small, and the largest risk level is taken as the final risk level corresponding to the current location.

[0042] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, a method for determining the risk of an epidemic area as described in the above embodiment is implemented.

[0043] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a method for determining the risk of an epidemic area as described in the above embodiment.

[0044] By implementing the present invention, at least the following beneficial effects are achieved:

[0045] The present invention provides a method, device, terminal device and storage medium for determining the risk of epidemic point area, and the method can obtain the basic data of the current position and several epidemic points; wherein the basic data of the epidemic point includes: the position of the epidemic point and the epidemic point area affected by the epidemic point; for each epidemic point, taking the epidemic point position as the center of the circle, according to the radius of the risk area corresponding to different risk levels, construct each epidemic point risk area centered on the epidemic point; according to the intersection of the epidemic point area and each epidemic point risk area, determine the risk level corresponding to each sub-area in the epidemic point area; according to the current position and the epidemic point position, calculate the distance value between the current position and each epidemic point; according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area, determine the final risk level corresponding to the current position. The distance value between the current position and each epidemic point can be monitored in real time according to the current position. When there are multiple epidemic points, the epidemic point area ranges of each epidemic point intersect. Through the distance value, the epidemic point area of ​​each epidemic point and the risk level of each sub-area in each epidemic point area, the final risk level corresponding to the current position can be quickly determined, so that the distribution of epidemic points can be quickly grasped during the epidemic disposal process, thereby improving the disposal efficiency of the epidemic disposal work. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a flow chart of a method for determining the risk of an epidemic point area provided by one embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of the internal architecture of a device for determining the risk of an epidemic area provided by an embodiment of the present invention;

[0048] Figure 3 This is a schematic diagram of the internal modules of a device for determining the risk of an epidemic area provided by an embodiment of the present invention;

[0049] Figure 4 It is a structural schematic diagram of an epidemic area risk determination device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 , is a flow chart of a method for determining the risk of an epidemic area provided by an embodiment of the present invention, comprising:

[0052] S1. Obtain the basic data of the current location and several epidemic points; wherein the basic data of the epidemic points include: the location of the epidemic point and the epidemic point area affected by the epidemic point;

[0053] S2. For each epidemic point, take the epidemic point as the center of the circle and construct the risk areas of each epidemic point centered on the epidemic point according to the radius of the risk area corresponding to different risk levels;

[0054] S3. Determine the risk level corresponding to each sub-area within the epidemic point area based on the intersection of the epidemic point area and each epidemic point risk area;

[0055] S4. Calculate the distance between the current position and each epidemic point according to the current position and the epidemic point position;

[0056] S5. Determine the final risk level corresponding to the current location based on the distance values ​​and the risk level of each sub-area in each epidemic point area.

[0057] Specifically, the basic data of the epidemic point include the location of the epidemic point and the epidemic point area affected by the epidemic point (the area affected by the epidemic point); the distance value indicates the distance between the current location and each epidemic point; the risk level of each sub-area in each epidemic point area, that is, with the epidemic point as the center, the closer the area is to the epidemic point, the higher the danger level, and correspondingly, the farther away from the current epidemic point, the lower the danger level; the radius of the risk area corresponding to different risk levels, that is, each level of risk area corresponds to a risk area radius.

[0058] In a preferred embodiment of the present invention, the basic data of the epidemic points of the current position and several epidemic points are first obtained; wherein the basic data of the epidemic points include: the position of the epidemic point and the epidemic point area affected by the epidemic point; then for each epidemic point, with the epidemic point position as the center of the circle, according to the radius of the risk area corresponding to different risk levels, construct each epidemic point risk area centered on the epidemic point; then, according to the intersection of the epidemic point area and each epidemic point risk area, determine the risk level corresponding to each sub-area in the epidemic point area; then, according to the current position and the epidemic point position, calculate the distance value between the current position and each epidemic point; finally, according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area, determine the final risk level corresponding to the current position. After determining the final risk level corresponding to the current position, risk warning information can be generated according to the corresponding final risk level, so that the user can make corresponding decisions according to the risk warning information. For example, when the current position coordinates are A, the position coordinates of epidemic point 1 are B1, the position coordinates of epidemic point 2 are B2, and the position coordinates of epidemic point 3 are B3, calculate the distance between A and B1, the distance between A and B2, and the distance between A and B3; the epidemic point area range of epidemic point 1 is 400m, the epidemic point area range of epidemic point 2 is 500m, and the epidemic point area range of epidemic point 3 is 600m; within 200m from the epidemic point is the core area, and the regional risk level is level 1 (highest); within 200-400m from the epidemic point is the warning area, and the regional risk level is level 2 (second highest); 400-800m from the epidemic point is the monitoring area, and the regional risk level is level 3 (medium); 800m away from the epidemic point is the general area, and the regional risk level is level 4 (low). If the current position is located in the core area of ​​epidemic point 1 and the warning area of ​​epidemic point 2, then the final epidemic point area risk level corresponding to the current position is the core area, and an indicator light prompt message will be generated to remind the user that he is in the core area. When the indicator light is red, it indicates that the current location is in the core area; when the indicator light is orange, it indicates that the current location is in the warning area; when the indicator light is yellow, it indicates that the current location is in the monitoring area; when the indicator light is green or other colors, it indicates that the current location is in the general area. If the user is a disinfection worker, he can perform disinfection in the core area according to the color prompt information. If the user is not an epidemic monitoring worker, he can stay away from the core area according to the indicator light prompt information.

[0059] In a preferred embodiment of the present invention, the radii of the risk areas corresponding to different risk levels are different, for example, the radius corresponding to the high-risk area, the radius corresponding to the second-highest risk area, the radius corresponding to the medium-risk area, and the radius corresponding to the low-risk area are all different. For each epidemic point, the risk area range expands outward in a circular shape with the epidemic point location as the center of the circle. With the epidemic point location as the center of the circle and the radius of the risk area corresponding to different risk levels as the radius, the risk areas of each epidemic point corresponding to each epidemic point are determined, and then the risk level corresponding to each sub-area in the epidemic point area is determined based on the intersection of the epidemic point area with each epidemic point risk area.

[0060] Preferably, determining the final risk level corresponding to the current location according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area includes:

[0061] Determine the risk level of the current location at each epidemic point according to the distance values ​​and the risk level of each sub-area in each epidemic point area;

[0062] Under each epidemic point, the risk level of the current location is sorted from large to small, and the largest risk level is taken as the final risk level corresponding to the current location.

[0063] In a preferred embodiment of the present invention, the distance between the current position and each epidemic point spans across the risk level areas of many epidemic point sub-areas. The risk level of the current position at each epidemic point can be determined based on the distance values ​​and the risk levels of each sub-area in each epidemic point area, that is, the current position can be in the high-risk area of ​​epidemic point 1 and the medium-risk area of ​​epidemic point 2 at the same time. Then, the risk level of the current position at each epidemic point is sorted from large to small, and the largest risk level is used as the final risk level corresponding to the current position, that is, the risk level of the current position is compared to determine the final risk level of the current position. For example, the distance between the current location and epidemic point 1 is 190m, the distance between the current location and epidemic point 2 is 390m, and the distance between the current location and epidemic point 3 is 510m. The risk level of the epidemic point area corresponding to the current location is the level 1 risk area of ​​epidemic point 1 (level 1 is the highest level in this embodiment), the level 2 risk area of ​​epidemic point 2, and the level 3 risk area of ​​epidemic point 3. Then, these risk areas are ranked, and the level 1 risk level of epidemic point 1 with the highest level is taken as the target level of the current location, and the target level is taken as the final epidemic point area risk level corresponding to the current location. That is, the final risk level corresponding to the current location is level 1, which belongs to the core area and is high risk.

[0064] Preferably, the epidemic point basic data also includes: the number of cases associated with the epidemic point;

[0065] The method for determining the risk of the epidemic point area also includes:

[0066] Mark the current location, the location of each epidemic point, and the number of epidemic point-associated cases corresponding to each epidemic point on the preset regional map;

[0067] Arrange the distance values ​​between the current position and each epidemic point in ascending order. When the distance value does not exceed the preset distance threshold, the corresponding epidemic point is marked with the first color, and the distance value is marked on the corresponding epidemic point;

[0068] When the distance value exceeds a preset distance threshold, the corresponding epidemic point is marked with a second color; wherein the first color is different from the second color.

[0069] In a preferred embodiment of the present invention, each epidemic point includes many cases within the epidemic point area, and the number of cases in the current area is associated with the current epidemic point. The epidemic point location, current location and number of cases associated with each epidemic point are marked on a preset regional map according to the epidemic point location, current location coordinates and number of cases associated with the epidemic point to realize the visualization of epidemic point information. The epidemic points corresponding to the distance value not exceeding (less than or equal to) the preset distance threshold are marked with a first color, indicating that these epidemic points are closer to the current location, for distinguishing and warning; the epidemic points corresponding to the distance value greater than the preset distance threshold are marked with a second color, indicating that these epidemic points are far away from the current location. The first color is different from the second color, and is used to distinguish epidemic points at different distances.

[0070] Indicatively, it also includes:

[0071] During the preset monitoring time, according to the number of cases associated with the current epidemic point and the number of cases associated with the initial epidemic point corresponding to each epidemic point, it is judged whether the current epidemic point meets the epidemic point closure result; among which, the number of cases associated with the initial epidemic point is the number of cases associated with the epidemic point when the epidemic point is first generated;

[0072] When the number of cases associated with the current epidemic point corresponding to the current epidemic point is greater than the number of cases associated with the initial epidemic point, it is determined that the current epidemic point does not meet the epidemic point closure result, and the number of cases associated with the current epidemic point continues to be monitored;

[0073] When the number of cases associated with the current epidemic point corresponding to the current epidemic point is less than or equal to the number of cases associated with the initial epidemic point, the mosquito vector density value is obtained;

[0074] If the mosquito density value is less than the preset mosquito density safety value, the current epidemic point is determined to be in line with the epidemic point closure result, and the current epidemic point is deleted;

[0075] If the mosquito density value is greater than or equal to the preset mosquito density safety value, it is determined that the current epidemic point does not meet the epidemic point closure results, and the number of cases associated with the current epidemic point will continue to be monitored.

[0076] In a preferred embodiment of the present invention, since the generation of the epidemic point setting, there may be new cases in the area or the number of cases may decrease after the cases are cured, so it is necessary to monitor the number of cases associated with the current epidemic point. Within the preset monitoring time, according to the number of cases associated with the current epidemic point corresponding to each epidemic point and the number of cases associated with the initial epidemic point, it is judged whether the current epidemic point meets the results of the epidemic point closure. For example, within 25 days, it is detected whether the number of cases associated with the epidemic point has changed; wherein, the number of cases associated with the initial epidemic point is the number of cases associated with the epidemic point when the epidemic point is first generated. In the case where the number of cases associated with the current epidemic point corresponding to the current epidemic point is greater than the number of cases associated with the initial epidemic point, the current epidemic point does not meet the results of the epidemic point closure, and the number of cases associated with the current epidemic point continues to be monitored; for example, on the fifth day after the epidemic point is generated, the number of cases associated with the current epidemic point monitored to be one more than five days ago, indicating that new cases have been generated in the current area and do not meet the results of the epidemic point closure, and the number of cases associated with the current epidemic point continues to be monitored in a cycle of 25 days. When the number of cases associated with the current epidemic point corresponding to the current epidemic point is less than or equal to the number of cases associated with the initial epidemic point, the mosquito density value is obtained; for example, if there are no new cases within 25 days after the epidemic point is generated, and the number of cases associated with the current epidemic point has not changed, the mosquito density value within the epidemic point area is obtained. When the mosquito density value is less than the preset mosquito density safety value, the current epidemic point meets the epidemic point closure result, and the current epidemic point is deleted; wherein, when the mosquito density value is greater than or equal to the preset mosquito density safety value, the current epidemic point does not meet the epidemic point closure result, and the number of cases associated with the current epidemic point continues to be monitored. For example, if there are no new cases within 25 days after the epidemic point is generated, and the mosquito density reaches a safe level (less than the preset mosquito density safety value), it means that the current epidemic point meets the epidemic point closure result, and the current epidemic point can be deleted or the monitoring of the current epidemic point can be stopped.

[0077] Preferably, it also includes:

[0078] When the current position changes, the change coordinates of the current position are recorded in real time;

[0079] The change coordinates of the current position are stored in a preset position coordinate database; wherein the position coordinate database includes a position number, a current position and a change coordinate of the current position; each current position corresponds to a position number;

[0080] According to the position number and the change coordinates of the current position, the change coordinates corresponding to each position number are mapped to a preset area map, so that the change path of the current position is displayed on the preset area map.

[0081] In a preferred embodiment of the present invention, a preset position coordinate database records the changes in the current position, and the position coordinate database includes a position number, the current position coordinates, and the change coordinates of the current position; each current position corresponds to a position number. In the case of changes in the current position coordinates, the change coordinates of the current position are recorded in real time; then the change coordinates of the current position are stored in the preset position coordinate database; according to the position number and the change coordinates of the current position, the change coordinates corresponding to each position number are mapped to a preset regional map, so that the change path of the current position is displayed on the preset regional map, and the path changes of the current position in the region can be viewed in real time.

[0082] Preferably, the method further comprises: generating a predicted trajectory according to the change of the current position within a preset period of time when the current position changes;

[0083] Determine the final risk level corresponding to each location point in the predicted trajectory;

[0084] Generate risk protection information corresponding to each location point according to the final risk level corresponding to each location point in the predicted trajectory; wherein the risk protection information is used to indicate the risk protection measures that the user needs to perform under the corresponding final risk level;

[0085] The predicted trajectory and the risk protection information are displayed on the regional map.

[0086] In a preferred embodiment of the present invention, a predicted trajectory is generated according to the change of the current position within a preset time period. The predicted trajectory can be generated by existing technologies, such as selecting deep learning models such as LSTM (Long Short-Term Memory Network) or Transformer, or probability models such as Gaussian Mixture Model (GMM), Gaussian Process (GP) or Hidden Markov Model (HMM). The predicted trajectory may pass through multiple risk areas, each with a different risk level. Risk protection measures for each risk level can be determined based on the predicted trajectory, and protection and disinfection preparations can be made in advance.

[0087] Schematically, a method for determining the risk of an epidemic point area is applicable to an epidemic management system platform and an epidemic point distance measuring device. The epidemic management system platform obtains the basic data of the current location and several epidemic points; wherein the basic data of the epidemic point includes: the location of the epidemic point and the epidemic point area affected by the epidemic point; for each epidemic point, taking the location of the epidemic point as the center of the circle, according to the radius of the risk area corresponding to different risk levels, construct each epidemic point risk area centered on the epidemic point; according to the intersection of the epidemic point area and each epidemic point risk area, determine the risk level corresponding to each sub-area in the epidemic point area; according to the current location and the location of the epidemic point, calculate the distance value between the current location and each epidemic point; according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area, determine the final risk level corresponding to the current location. Generate risk warning information according to the final risk level, and send the risk warning information to the epidemic point distance measuring device, so that the user can make corresponding decisions according to the risk warning information.

[0088] The epidemic point distance measurement equipment uses high-frequency wireless signals, which have the characteristics of strong penetration and long transmission distance, and can adapt to the measurement needs under different environmental conditions; Figure 3 As shown in the figure, it adopts multi-source positioning technology, combined with the global positioning system (GPS) and wireless network positioning technology to improve positioning accuracy and stability; built-in advanced positioning algorithm and distance calculation algorithm, can process location information in real time, and can also quickly obtain accurate distance values; using high-definition display screen, can clearly display distance information. Figure 2As shown in the figure, "4G: 27" means the current 4G signal strength is 27, and the strongest signal strength is 36; "G:--" means the GPS status, "--" means there is no signal, and "OK" means the signal is normal; "ID: 101003" means the user number currently bound to the device is 101003; "1010007:98m, 1010008:202m, 1010011:15m" means the three epidemic point numbers closest to the current user's location and the distance value to the epidemic point; "Total:9" means the number of epidemic points that have passed the review of the current bound user number; "Bat:3.57" means the current battery voltage is 3.57V; at the same time, the indicator light reminder function is set. When the risk area changes (from the core area to the warning area, beyond the warning area, etc.), such as entering the warning area from the core area, the indicator light changes from red to orange, reminding users (such as epidemic investigation personnel, supervisors, and disinfection personnel) to pay attention to changes in the risk area range. It can enable frontline epidemic response personnel to determine the scope of epidemic response, and the work of breeding ground cleaning and disinfection can better grasp the risks of the location in real time, ensure that work is carried out in the risk area, greatly avoid ineffective work, and improve the on-site work efficiency of mosquito-borne infectious disease prevention and control within the epidemic point. It can be applied to the epidemic response of dengue fever, Zika virus disease, chikungunya fever and other mosquito-borne infectious diseases. For example, in epidemiological surveys, the scope of case risk spread and case association determination are determined; the scope of breeding ground cleaning, emergency mosquito control, and health science education is determined; on-site disinfection personnel determine the scope of disinfection and determine whether they are in the area to be handled in real time during disinfection operations; supervision and mosquito density assessment determine whether the location is in the risk area and specific related cases.

[0089] The epidemic management system platform can receive access from epidemic point distance measuring devices. Each epidemic point distance measuring device has a number, that is, the location number. It can visualize epidemic point information, delete epidemic points or add new epidemic points to manage epidemic points. At the same time, it can also display the position changes of the epidemic point distance measuring device medium in real time.

[0090] In another preferred embodiment of the present invention, the newly generated epidemic point range can be marked by marking the epidemic point on the map on the epidemic management system platform, or it can be delineated by transmitting positioning information through the epidemic point distance measuring device. When delineating through the epidemic point distance measuring device, the new epidemic point positioning function is used on the epidemic point distance measuring device to obtain coordinate information, and the case number is noted and uploaded. The platform will review it, and the epidemic point will be integrated into the epidemic point information map in the region according to the case coordinate information and case number. It can also be not uploaded and stored locally in the epidemic point distance measuring device. When the epidemic point distance measuring device is in a networked state, the basic data of the epidemic point can be directly obtained from the epidemic management system platform; when the epidemic point distance measuring device is not in a networked state, the epidemic point distance measuring device can transmit the locally marked epidemic point location to a new epidemic point distance measuring device through the epidemic point information sharing function (touch-to-touch transmission).

[0091] By implementing this embodiment, the basic data of the current position and several epidemic points are obtained; wherein, the basic data of the epidemic point includes: the position of the epidemic point and the epidemic point area affected by the epidemic point; for each epidemic point, with the epidemic point position as the center of the circle, according to the radius of the risk area corresponding to different risk levels, each epidemic point risk area centered on the epidemic point is constructed; according to the intersection of the epidemic point area and each epidemic point risk area, the risk level corresponding to each sub-area in the epidemic point area is determined; according to the current position and the epidemic point position, the distance value between the current position and each epidemic point is calculated; according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area, the final risk level corresponding to the current position is determined. The distance value between the current position and each epidemic point can be monitored in real time according to the current position. When there are multiple epidemic points, the epidemic point area ranges of each epidemic point intersect. Through the distance value, the epidemic point area of ​​each epidemic point and the risk level of each sub-area in each epidemic point area, the final risk level corresponding to the current position can be quickly determined, so that the distribution of epidemic points can be quickly grasped during the epidemic disposal process, thereby improving the disposal efficiency of the epidemic disposal work.

[0092] See also Figure 4 , is a schematic diagram of the structure of a device for determining the risk of an epidemic area provided by an embodiment of the present invention, comprising:

[0093] The epidemic point data acquisition module is used to obtain the basic data of the current location and several epidemic points; wherein the basic data of the epidemic point includes: the location of the epidemic point and the epidemic point area affected by the epidemic point;

[0094] The epidemic point risk area construction module is used to construct each epidemic point risk area centered on the epidemic point, taking the epidemic point location as the center of the circle and according to the radius of the risk area corresponding to different risk levels;

[0095] The first risk level determination module is used to determine the risk level corresponding to each sub-area in the epidemic point area according to the intersection of the epidemic point area and each epidemic point risk area;

[0096] The epidemic point distance calculation module is used to calculate the distance between the current position and each epidemic point according to the current position and the epidemic point position;

[0097] The second risk level determination module is used to determine the final risk level corresponding to the current location based on the distance values ​​and the risk level of each sub-area in each epidemic point area.

[0098] Specifically, the second risk level determination module is used to determine the final risk level corresponding to the current location according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area;

[0099] According to the distance values ​​and the risk levels of each sub-area in each epidemic point area, the final risk level corresponding to the current location is determined, including:

[0100] Determine the risk level of the current location at each epidemic point according to the distance values ​​and the risk level of each sub-area in each epidemic point area;

[0101] Under each epidemic point, the risk level of the current location is sorted from large to small, and the largest risk level is taken as the final risk level corresponding to the current location.

[0102] The present invention provides an epidemic point area risk determination device, which monitors the distance value between the current position and each epidemic point in real time according to the current position. When there are multiple epidemic points, the epidemic point area ranges of each epidemic point overlap. The final risk level corresponding to the current position can be quickly determined through the distance value, the epidemic point area of ​​each epidemic point and the epidemic point area risk level corresponding to each epidemic point, so that the distribution of epidemic points can be quickly grasped during the epidemic disposal process, thereby improving the work efficiency of the epidemic disposal work.

[0103] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0104] Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0105] Another embodiment of the present invention further provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements a method for determining the risk of an epidemic area as described in the above embodiment when executing the computer program. The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0106] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0107] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Med i aCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.

[0108] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a method for determining the risk of an epidemic area as described in the above embodiment.

[0109] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0110] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining the risk of an epidemic area, characterized in that: include: Obtaining basic data of the current location and several epidemic points; wherein the basic data of the epidemic points include: the location of the epidemic point and the epidemic point area affected by the epidemic point; For each epidemic point, take the epidemic point as the center of the circle, and construct the risk areas of each epidemic point centered on the epidemic point according to the radius of the risk area corresponding to different risk levels; According to the intersection of the epidemic point area and each epidemic point risk area, determine the risk level corresponding to each sub-area within the epidemic point area; According to the current position and the location of the epidemic point, the distance between the current position and each epidemic point is calculated; The final risk level corresponding to the current location is determined based on the distance values ​​and the risk levels of each sub-area in each epidemic point area.

2. A method for determining the risk of an epidemic area according to claim 1, characterized in that: According to the distance values ​​and the risk levels of each sub-area in each epidemic point area, the final risk level corresponding to the current location is determined, including: Determine the risk level of the current location at each epidemic point according to the distance values ​​and the risk level of each sub-area in each epidemic point area; Under each epidemic point, the risk level of the current location is sorted from large to small, and the largest risk level is taken as the final risk level corresponding to the current location.

3. A method for determining the risk of an epidemic area as claimed in claim 2, characterized in that: The basic data of epidemic sites also include: the number of cases associated with the epidemic sites; The method for determining the risk of the epidemic point area also includes: Mark the current location, the location of each epidemic point, and the number of epidemic point-associated cases corresponding to each epidemic point on the preset regional map; Arrange the distance values ​​between the current position and each epidemic point in ascending order. When the distance value does not exceed the preset distance threshold, the corresponding epidemic point is marked with the first color, and the distance value is marked on the corresponding epidemic point; When the distance value exceeds a preset distance threshold, the corresponding epidemic point is marked with a second color; wherein the first color is different from the second color.

4. A method for determining the risk of an epidemic area as claimed in claim 3, characterized in that: Also includes: During the preset monitoring time, according to the number of cases associated with the current epidemic point and the number of cases associated with the initial epidemic point corresponding to each epidemic point, it is judged whether the current epidemic point meets the epidemic point closure result; among which, the number of cases associated with the initial epidemic point is the number of cases associated with the epidemic point when the epidemic point is first generated; When the number of cases associated with the current epidemic point corresponding to the current epidemic point is greater than the number of cases associated with the initial epidemic point, it is determined that the current epidemic point does not meet the epidemic point closure result, and the number of cases associated with the current epidemic point continues to be monitored; When the number of cases associated with the current epidemic point corresponding to the current epidemic point is less than or equal to the number of cases associated with the initial epidemic point, the mosquito density value is obtained; If the mosquito density value is less than the preset mosquito density safety value, the current epidemic point is determined to be in line with the epidemic point closure result, and the current epidemic point is deleted; If the mosquito density value is greater than or equal to the preset mosquito density safety value, it is determined that the current epidemic point does not meet the epidemic point closure results, and the number of cases associated with the current epidemic point will continue to be monitored.

5. A method for determining the risk of an epidemic area as claimed in claim 4, characterized in that: Also includes: When the current position changes, the change coordinates of the current position are recorded in real time; The change coordinates of the current position are stored in a preset position coordinate database; wherein the position coordinate database includes a position number, a current position and a change coordinate of the current position; each current position corresponds to a position number; According to the position number and the change coordinates of the current position, the change coordinates corresponding to each position number are mapped to a preset area map, so that the change path of the current position is displayed on the preset area map.

6. A method for determining the risk of an epidemic area as claimed in claim 5, characterized in that: Also includes: In the case where the current position changes, a predicted trajectory is generated based on the change of the current position within a preset period of time; Determine the final risk level corresponding to each location point in the predicted trajectory; Generate risk protection information corresponding to each location point according to the final risk level corresponding to each location point in the predicted trajectory; wherein the risk protection information is used to indicate the risk protection measures that the user needs to perform under the corresponding final risk level; The predicted trajectory and the risk protection information are displayed on the regional map.

7. A device for determining the risk of an epidemic area, characterized in that: include: The epidemic point data acquisition module is used to obtain the basic data of the current location and several epidemic points; wherein the basic data of the epidemic point includes: the location of the epidemic point and the epidemic point area affected by the epidemic point; The epidemic point risk area construction module is used to construct each epidemic point risk area centered on the epidemic point, taking the epidemic point location as the center of the circle and according to the radius of the risk area corresponding to different risk levels; The first risk level determination module is used to determine the risk level corresponding to each sub-area in the epidemic point area according to the intersection of the epidemic point area and each epidemic point risk area; The epidemic point distance calculation module is used to calculate the distance between the current position and each epidemic point according to the current position and the epidemic point position; The second risk level determination module is used to determine the final risk level corresponding to the current location based on the distance values ​​and the risk level of each sub-area in each epidemic point area.

8. The device for determining the risk of an epidemic area according to claim 7, characterized in that: The second risk level determination module is used to determine the final risk level corresponding to the current location according to each of the distance values ​​and the risk level of each sub-area in each epidemic point area; According to the distance values ​​and the risk levels of each sub-area in each epidemic point area, the final risk level corresponding to the current location is determined, including: Determine the risk level of the current location at each epidemic point according to the distance values ​​and the risk level of each sub-area in each epidemic point area; Under each epidemic point, the risk level of the current location is sorted from large to small, and the largest risk level is taken as the final risk level corresponding to the current location.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a method for determining the risk of an epidemic area as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein, when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a method for determining the risk of an epidemic area as described in any one of claims 1 to 6.

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