First-aid allocation method and system based on first-aid information acquisition

Abstract

The invention discloses a first-aid dispatching method and system based on first-aid information collection, relates to the technical field of first-aid dispatching, and solves the problems that the congestion condition of a route and the specific positions of different dispatched vehicles are not specifically analyzed; according to the method, the congestion time period and the duration of a single route are accurately analyzed by using historical completion data, the actual driving duration of the ambulance on each single route and the whole driving route is accurately calculated, the method does not simply depend on fixed estimation any more, and the accuracy of the ambulance route and the ambulance time is greatly improved. Complex and changeable real traffic conditions are fitted; and on the other hand, the calibration route closest to the characteristic moment is locked through rigorous time calculation and comparison from the multiple groups of areas to be allocated and the corresponding numerous driving routes, and finally the determined route with the shortest overall time consumption is determined, so that the risk that the ambulance is trapped on the road due to traffic jam is greatly reduced, and the safety of the ambulance is improved. And the system can arrive at the first-aid site at the fastest speed.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency dispatching, and in particular to an emergency dispatching method and dispatching system based on emergency information collection. Background Art

[0002] Emergency dispatch is a key link in the emergency medical rescue system. It is responsible for rapid response, accurate resource allocation and efficient information flow. It is related to whether every critically ill patient can receive proper treatment in the shortest time.

[0003] The application with publication number CN107516006A discloses an ambulance dispatching method and system, wherein the method comprises: receiving an ambulance call request sent by a user terminal and generating order information, wherein the order information comprises: disease type information and rescue geographic location information; filtering out an ambulance matching the disease type information based on the disease type information; sorting the matching ambulances in order of distance from the rescue geographic location information from near to far based on the rescue geographic location information and the current location information of the matching ambulances; sending the order information to the first N ambulances sorted by distance, where N≥1 and is an integer. The invention has the beneficial effect of being able to quickly and accurately realize ambulance dispatching;

[0004] In the process of emergency dispatch, the nearest ambulance is generally dispatched based on the determined location to provide rapid emergency treatment to patients who need emergency treatment. However, this original method does not conduct a specific analysis of the congestion of the route and the specific locations of different dispatched vehicles, resulting in the determined emergency route and emergency time being not in the best state, and it is easy to miss the best time for emergency treatment. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an emergency dispatch method and system based on emergency information collection, which solves the problem that the congestion of the route and the specific locations of different dispatched vehicles are not specifically analyzed, resulting in the determined rescue route and rescue time being not in the optimal state.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a first aid deployment method based on first aid information collection comprises the following steps:

[0007] Step 1: Based on the first aid location determined in the first aid information, confirm the surrounding areas to be deployed according to the first aid location, and confirm the deployment time of the corresponding areas to be deployed. The specific sub-steps are:

[0008] S11. Confirm the emergency point from the emergency information, and then use the emergency point as the center point to form a surrounding circle with a radius of X1 kilometers, where X1 is a preset value. Confirm the area to be deployed that belongs to the coverage circle based on the cloud map;

[0009] S12, based on the confirmed area to be deployed, confirm whether there is an ambulance to be deployed in the area to be deployed, if yes, mark the current time as the deployment time of the area to be deployed, if no, the relevant operator determines the deployment time of the area to be deployed from the confirmed information;

[0010] Step 2: Based on the determined emergency location and the determined different areas to be deployed, the location of the corresponding area to be deployed is used as the starting point, and the determined emergency low point is used as the end point, multiple groups of driving routes are confirmed, and according to the determined deployment time, the driving time of the corresponding driving route is confirmed, and the calibrated route is locked based on the confirmation result, the determined area is locked from the multiple groups of areas to be deployed, and the determined route is locked from the multiple groups of driving routes at the same time. The specific sub-steps are:

[0011] S21. Based on the determined groups of areas to be deployed, randomly select a group of areas to be deployed, mark the area to be deployed as the end point, and based on the confirmed starting point and the end point, confirm a group of driving routes about the starting point and the end point from the cloud map, wherein the cloud map is a preset map, and based on a number of intersections existing in the corresponding driving route, divide the single group of driving routes into a number of groups of single routes, wherein the intersections have been marked in advance in the cloud map;

[0012] S22, processing a single group of driving routes: confirming congestion data of several groups of single routes within the single group of driving routes from the historical completion data, and confirming corresponding congestion time periods and congestion durations associated with the corresponding congestion time periods from the congestion data based on the congestion data associated with each single route;

[0013] Based on the determined driving route and the dispatch time T1, the dispatch time T1 is used as the initial time of the single route, the driving time of the ambulance on the corresponding single route is confirmed, and the route length L of the single route is confirmed. k , where k represents different single routes, using L k ÷V=T k Confirm the driving time T associated with the corresponding single route k , where V is the preset driving speed, confirm a set of associated moments, whose associated moment = T1 + T k , identify whether this associated time is within the congestion period associated with this single route:

[0014] If it is, then determine the time interval SC between this associated time and the end time of the congestion period k, and then identify the congestion duration associated with this congestion period. If SC k ≤ congestion duration, then add the distance SC to the associated time k , as the final confirmed association time of this single route, if SC k > congestion duration, then add the congestion duration to the associated time to be the final confirmed associated time of this route;

[0015] The confirmed association time is used as the initial time of the next group of single routes, and the association time of the next group of single routes is confirmed in the same way, and so on, until the association time of the last group of single routes in the current driving route is confirmed, and the last confirmed association time is used as the characteristic time of the current driving route;

[0016] S23, based on different characteristic moments associated with different driving routes in the area to be deployed, selecting the characteristic moment closest to the current moment as the standard moment, and using the driving route corresponding to the standard moment as the calibration route;

[0017] S24, the same method as steps S21-S23 is used to process other areas to be allocated, confirm the calibrated route and standard time associated with the corresponding area to be allocated, select the standard time closest to the current time from several groups of standard times as the determined time, and use the area to be allocated associated with this determined time as the determined area, and use the formal route associated with the determined time as the determined route;

[0018] Step 3: Based on the locked determined area and determined route, dispatch an ambulance in the determined area, and transport the determined route to the dispatched ambulance;

[0019] Step 4: Based on the determined emergency location and the location of the determined area, the emergency location is used as the starting point, and the location of the determined area is used as the end point. Based on the starting point and the end point, multiple sets of driving routes are confirmed from the cloud map, and the return route is determined from the multiple sets of driving routes. The specific sub-steps are:

[0020] S41, based on the determined starting point and end point, confirming a plurality of groups of driving routes in the cloud map, and dividing the corresponding driving routes into a plurality of groups of single routes in the same manner as step S21;

[0021] S42, analyzing each group of single routes, giving priority to confirming the return time of the ambulance, using the return time as the initial time of the first group of single routes, and confirming the characteristic time associated with the corresponding driving route in the same manner as step S22;

[0022] S43. From the different characteristic moments associated with different driving routes, the characteristic moment closest to the current moment is selected as the selected moment, the driving route associated with the selected moment is used as the return route, and uploaded to the navigation system of the ambulance.

[0023] Preferably, in step S22, if the associated time is not within the congestion period associated with the single route, the associated time confirmed for the single route remains unchanged.

[0024] Preferably, the emergency dispatching system based on emergency information collection includes:

[0025] The regional time confirmation terminal, based on the first aid location determined in the first aid information, confirms the surrounding areas to be deployed according to the first aid location, and confirms the deployment time of the corresponding areas to be deployed;

[0026] The route analysis and processing end, based on the determined emergency location and the determined different areas to be deployed, takes the location of the corresponding area to be deployed as the starting point and the determined emergency low point as the end point, confirms multiple groups of driving routes, and according to the determined deployment time, confirms the driving time of the corresponding driving route, and based on the confirmation result, locks the determined area from the multiple groups of areas to be deployed, and simultaneously locks the determined route from the multiple groups of driving routes;

[0027] The associated vehicle dispatching terminal dispatches the ambulance in the determined area based on the locked determined area and the determined route, and transports the determined route to the dispatched ambulance;

[0028] The return route determination end, based on the determined first aid location and the location of the determined area, takes the first aid location as the starting point and the location of the determined area as the end point. Based on this starting point and the end point, multiple sets of driving routes are confirmed from the cloud map, and the return route is determined from the multiple sets of driving routes.

[0029] The present invention provides a first aid dispatching method and dispatching system based on first aid information collection. Compared with the prior art, it has the following beneficial effects:

[0030] The present invention uses historical completion data to accurately analyze the congestion period and duration of a single route, and cleverly combines the deployment time to dynamically and accurately calculate the actual driving time of the ambulance on each single route and the entire driving route. It no longer relies solely on fixed estimates, but fits the complex and changeable actual traffic conditions. On the other hand, from multiple groups of areas to be deployed and their corresponding numerous driving routes, through rigorous time calculation and comparison, the nearest calibration route at the characteristic time is locked, and finally the determined route with the shortest overall time is determined. This series of operations is highly scientific, greatly reducing the risk of ambulances being trapped on the road due to traffic congestion, ensuring that they can arrive at the emergency scene at the fastest speed, saving every second to save patients' lives, and significantly improving emergency efficiency.

[0031] The determination of the return route is also scientific and reasonable; based on a similar rigorous process, combined with the return time of the ambulance, the optimal return route is selected from multiple routes, which can not only ensure that the ambulance returns to its position quickly so that it can quickly engage in the next rescue mission, but also avoid unnecessary long delays on the return journey, thereby achieving efficient closed-loop operation of the entire emergency process, and comprehensively improving the timeliness and quality of emergency services as a whole, building a solid and reliable deployment and guarantee system for the emergency treatment of patients, and maximizing the patients' chances of receiving timely and effective treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the process of the present invention;

[0033] Figure 2 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] First embodiment

[0036] See also Figure 1 The present application provides a method for emergency dispatching based on emergency information collection, comprising the following steps:

[0037] Step 1: Based on the first aid location determined in the first aid information, the surrounding areas to be deployed are confirmed according to the first aid location, and the deployment time of the corresponding areas to be deployed is confirmed. The first aid information is entered by relevant personnel based on telephone information, and the entered information includes the location information of the corresponding first aid location. The specific sub-steps for confirming the areas to be deployed and the deployment time are as follows:

[0038] S11. Confirm the emergency point from the emergency information, and then use this emergency point as the center point to cover the surrounding circle. The radius of the circle is X1 kilometers, where X1 is a preset value, which is prepared by relevant operators based on experience, and is generally 10. Based on the cloud map, the area to be deployed belonging to this coverage circle is confirmed. The area to be deployed is different hospitals. Each hospital has a corresponding ambulance to be deployed, so it is proposed as the area to be deployed here;

[0039] S12. Based on the confirmed area to be deployed, confirm whether there is an ambulance to be deployed (a vehicle in a pending state) in the area to be deployed. If so, mark the current time as the deployment time of the area to be deployed. If not, the deployment time of the area to be deployed is determined by the relevant operating personnel from the confirmed information (because the corresponding ambulance will have a corresponding return time after being dispatched, so the corresponding return time is confirmed by specific relevant personnel, and the return time is the delay time. Based on the current time and the determined delay time, the deployment time of the area to be deployed can be determined, and the deployment time = current time + delay time). Specifically, based on the determined emergency location, the surrounding circle is covered, the corresponding hospital can be locked, and then the departure time of the corresponding hospital is determined according to the specific status of the corresponding ambulance in the corresponding hospital, so as to reasonably plan the route, select the best area to be deployed, and dispatch;

[0040] Step 2: Based on the determined emergency location and the determined different areas to be deployed, the location of the corresponding area to be deployed is used as the starting point, and the determined emergency low point is used as the end point, multiple groups of driving routes are confirmed, and according to the determined deployment time, the driving time of the corresponding driving route is confirmed, and the calibrated route is locked based on the confirmation result, and the determined area is locked from the multiple groups of areas to be deployed, and the determined route is locked from the multiple groups of driving routes at the same time, wherein the specific method of confirmation is:

[0041] S21. Based on the determined groups of areas to be deployed, a group of areas to be deployed is randomly selected, and the area to be deployed is marked as the end point. Based on the confirmed starting point and the end point, a group of driving routes about the starting point and the end point are confirmed from the cloud map, wherein the cloud map is a preset map, which is prepared by relevant operators based on experience. Based on a number of intersections existing in the corresponding driving route, a single group of driving routes is divided into a number of groups of single routes, wherein the intersections are marked in advance in the cloud map. Specifically, according to the confirmed starting point and the end point, a number of driving routes can be directly confirmed from the map, which is relatively common in the prior art, so it is not described in detail here.

[0042] S22, processing a single group of driving routes: confirming congestion data of several groups of single routes within the single group of driving routes from the historical completion data, and confirming corresponding congestion time periods and congestion durations associated with the corresponding congestion time periods from the congestion data based on the congestion data associated with each single route;

[0043] Based on the determined driving route and the dispatch time T1, the dispatch time T1 is used as the initial time of the single route, the driving time of the ambulance on the corresponding single route is confirmed, and the route length L of the single route is confirmed. k , where k represents different single routes, using L k ÷V=T k Confirm the driving time T associated with the corresponding single route k , where V is the preset driving speed, which is prepared by the relevant operators in advance based on experience to confirm a set of associated moments, and the associated moment = T1 + T k , identify whether this associated time is within the congestion period associated with this single route:

[0044] If it is, then determine the time interval SC between this associated time and the end time of the congestion period k , and then identify the congestion duration associated with this congestion period. If SC k ≤ congestion duration, then add the distance SC to the associated time k , as the final confirmed association time of this single route, if SC k > congestion duration, then add the congestion duration to the associated time to be the final confirmed associated time of this route;

[0045] If not, the associated time confirmed for this route will remain unchanged;

[0046] The confirmed association time is used as the initial time of the next group of single routes, and the association time of the next group of single routes is confirmed in the same way, and so on, until the association time of the last group of single routes in the current driving route is confirmed, and the last confirmed association time is used as the characteristic time of the current driving route;

[0047] S23, based on different characteristic moments associated with different driving routes in the area to be deployed, selecting the characteristic moment closest to the current moment as the standard moment, and using the driving route corresponding to the standard moment as the calibration route;

[0048] S24, the same method as steps S21-S23 is used to process other areas to be allocated, confirm the calibrated route and standard time associated with the corresponding area to be allocated, select the standard time closest to the current time from several groups of standard times as the determined time, and use the area to be allocated associated with this determined time as the determined area, and use the formal route associated with the determined time as the determined route;

[0049] Specifically, in the actual route planning process, the congestion period associated with the corresponding route is taken into consideration, the associated congestion duration is confirmed based on the corresponding congestion period, and the duration is specifically confirmed based on the associated specific time. From the confirmed specific time, the specific route with the shortest overall time is determined, and the route is finally confirmed, from which the specific route with the shortest duration is confirmed, so as to ensure the specific driving time.

[0050] Step 3: Based on the locked determined area and determined route, the ambulance in the determined area is dispatched, and the determined route is transmitted to the dispatched ambulance. The related ambulances drive along the determined route and quickly reach the designated emergency point;

[0051] Step 4: Based on the determined first aid location and the location of the determined area, the first aid location is used as the starting point, and the location of the determined area is used as the end point. Based on the starting point and the end point, multiple groups of driving routes are confirmed from the cloud map, and a return route is determined from the multiple groups of driving routes. The specific sub-steps of determining the return route are:

[0052] S41, based on the determined starting point and end point, confirming a plurality of groups of driving routes in the cloud map, and dividing the corresponding driving routes into a plurality of groups of single routes in the same manner as step S21;

[0053] S42, analyzing each group of single routes, giving priority to confirming the return time of the ambulance, using the return time as the initial time of the first group of single routes, and confirming the characteristic time associated with the corresponding driving route in the same manner as step S22;

[0054] S43. From the different characteristic moments associated with different driving routes, the characteristic moment closest to the current moment is selected as the selected moment, the driving route associated with the selected moment is used as the return route, and uploaded to the navigation system of the ambulance.

[0055] Specifically, by adopting this method of determining the return route, the corresponding vehicle can ensure that its return time is relatively short during the return process, which can effectively achieve a better time shortening effect and facilitate the corresponding ambulance to achieve the effect of rapid treatment during driving.

[0056] Second embodiment

[0057] Combination Figure 2 , an emergency dispatch system based on emergency information collection, including:

[0058] The regional time confirmation terminal, based on the first aid location determined in the first aid information, confirms the surrounding areas to be deployed according to the first aid location, and confirms the deployment time of the corresponding areas to be deployed;

[0059] The route analysis and processing end, based on the determined emergency location and the determined different areas to be deployed, takes the location of the corresponding area to be deployed as the starting point and the determined emergency low point as the end point, confirms multiple groups of driving routes, and according to the determined deployment time, confirms the driving time of the corresponding driving route, and based on the confirmation result, locks the determined area from the multiple groups of areas to be deployed, and simultaneously locks the determined route from the multiple groups of driving routes;

[0060] The associated vehicle dispatching terminal dispatches the ambulance in the determined area based on the locked determined area and the determined route, and transports the determined route to the dispatched ambulance;

[0061] The return route determination end, based on the determined first aid location and the location of the determined area, takes the first aid location as the starting point and the location of the determined area as the end point. Based on this starting point and the end point, multiple sets of driving routes are confirmed from the cloud map, and the return route is determined from the multiple sets of driving routes.

[0062] Third embodiment

[0063] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0064] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0065] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for emergency deployment based on emergency information collection, characterized in that: The following steps are involved: Step 1: Based on the first aid location determined in the first aid information, the surrounding areas to be deployed are confirmed according to the first aid location, and the deployment time corresponding to the areas to be deployed is confirmed; Step 2: Based on the determined emergency location and the determined different areas to be deployed, the location of the corresponding area to be deployed is used as the starting point, and the determined emergency low point is used as the end point, multiple groups of driving routes are confirmed, and according to the determined deployment time, the driving time of the corresponding driving route is confirmed, and the calibrated route is locked based on the confirmation result, the determined area is locked from the multiple groups of areas to be deployed, and the determined route is locked from the multiple groups of driving routes at the same time; Step 3: Based on the locked determined area and determined route, dispatch an ambulance in the determined area, and transport the determined route to the dispatched ambulance; Step 4: Based on the determined first aid location and the location of the determined area, the first aid location is used as the starting point and the location of the determined area is used as the end point. Based on this starting point and the end point, multiple sets of driving routes are confirmed from the cloud map, and the return route is determined from the multiple sets of driving routes.

2. The first aid deployment method based on first aid information collection according to claim 1, characterized in that: In step 1, the specific sub-steps for confirming the area to be allocated and the allocation time are: S11. Confirm the emergency point from the emergency information, and then use the emergency point as the center point to form a surrounding circle with a radius of X1 kilometers, where X1 is a preset value. Confirm the area to be deployed that belongs to the coverage circle based on the cloud map; S12. Based on the confirmed area to be deployed, confirm whether there is an ambulance to be deployed in the area to be deployed. If so, mark the current time as the deployment time for the area to be deployed. If not, the deployment time for the area to be deployed is determined by relevant operators from the confirmed information.

3. The first aid deployment method based on first aid information collection according to claim 1, characterized in that: In step 2, the specific sub-steps of locking the calibration route based on the confirmation result are: S21. Based on the determined groups of areas to be deployed, randomly select a group of areas to be deployed, mark the area to be deployed as the end point, and based on the confirmed starting point and the end point, confirm a group of driving routes about the starting point and the end point from the cloud map, wherein the cloud map is a preset map, and based on a number of intersections existing in the corresponding driving route, divide the single group of driving routes into a number of groups of single routes, wherein the intersections have been marked in advance in the cloud map; S22, processing a single group of driving routes: confirming congestion data of several groups of single routes within the single group of driving routes from the historical completion data, and confirming corresponding congestion time periods and congestion durations associated with the corresponding congestion time periods from the congestion data based on the congestion data associated with each single route; Based on the determined driving route and the dispatch time T1, the dispatch time T1 is used as the initial time of the single route, the driving time of the ambulance on the corresponding single route is confirmed, and the route length L of the single route is confirmed. k , where k represents different single routes, using L k ÷V=T k Confirm the driving time T associated with the corresponding single route k , where V is the preset driving speed, confirm a set of associated moments, whose associated moment = T1 + T k , identify whether this associated time is within the congestion period associated with this single route: If it is, then determine the time interval SC between this associated time and the end time of the congestion period k , and then identify the congestion duration associated with this congestion period. If SC k ≤ congestion duration, then add the distance SC to the associated time k , as the final confirmed association time of this single route, if SC k > congestion duration, then add the congestion duration to the associated time to be the final confirmed associated time of this route; The confirmed association time is used as the initial time of the next group of single routes, and the association time of the next group of single routes is confirmed in the same way, and so on, until the association time of the last group of single routes in the current driving route is confirmed, and the last confirmed association time is used as the characteristic time of the current driving route; S23. Based on different characteristic moments associated with different driving routes in the area to be allocated, the characteristic moment closest to the current moment is selected as the standard moment, and the driving route corresponding to the standard moment is used as the calibration route.

4. The first aid deployment method based on first aid information collection according to claim 3 is characterized in that: In step S22, if the associated time is not within the congestion period associated with the single route, the associated time confirmed for the single route remains unchanged.

5. The first aid deployment method based on first aid information collection according to claim 3 is characterized in that: In step 2, the specific sub-steps of locking and determining the area and determining the route are: S24. Then, the same method as steps S21-S23 is adopted to process other areas to be allocated, and the calibrated routes and standard times associated with the corresponding areas to be allocated are confirmed. From several groups of standard times, the standard time closest to the current time is selected as the determined time, and the area to be allocated associated with this determined time is taken as the determined area, and the formal route associated with the determined time is taken as the determined route.

6. The first aid deployment method based on first aid information collection according to claim 3 is characterized in that: In step 4, the specific sub-steps of determining the return route from multiple groups of driving routes are: S41, based on the determined starting point and end point, confirming a plurality of groups of driving routes in the cloud map, and dividing the corresponding driving routes into a plurality of groups of single routes in the same manner as step S21; S42, analyzing each group of single routes, giving priority to confirming the return time of the ambulance, using the return time as the initial time of the first group of single routes, and confirming the characteristic time associated with the corresponding driving route in the same manner as step S22; S43. From the different characteristic moments associated with different driving routes, the characteristic moment closest to the current moment is selected as the selected moment, the driving route associated with the selected moment is used as the return route, and uploaded to the navigation system of the ambulance.

7. An emergency dispatching system based on emergency information collection, the emergency dispatching system operates according to the emergency dispatching method based on emergency information collection according to any one of claims 1 to 7, characterized in that: include: The regional time confirmation terminal, based on the first aid location determined in the first aid information, confirms the surrounding areas to be deployed according to the first aid location, and confirms the deployment time of the corresponding areas to be deployed; The route analysis and processing end, based on the determined emergency location and the determined different areas to be deployed, takes the location of the corresponding area to be deployed as the starting point and the determined emergency low point as the end point, confirms multiple groups of driving routes, and according to the determined deployment time, confirms the driving time of the corresponding driving route, and based on the confirmation result, locks the determined area from the multiple groups of areas to be deployed, and simultaneously locks the determined route from the multiple groups of driving routes; The associated vehicle dispatching terminal dispatches the ambulance in the determined area based on the locked determined area and the determined route, and transports the determined route to the dispatched ambulance; The return route determination end, based on the determined first aid location and the location of the determined area, takes the first aid location as the starting point and the location of the determined area as the end point. Based on this starting point and the end point, multiple sets of driving routes are confirmed from the cloud map, and the return route is determined from the multiple sets of driving routes.

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