Bus route risk point updating management method and system based on weather forecast data
By using a bus route risk point update management method based on weather forecast data, and leveraging map tile technology and real-time weather data, the risk points of bus routes can be accurately predicted, solving the problem of insufficient operational flexibility of bus routes and enabling real-time and flexible adjustments to bus routes.
Patent Information
- Application Number
- CN202411433415.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-14
- Publication Date
- 2025-01-07
AI Technical Summary
Existing bus operating companies have difficulty accurately predicting the risks of bus route operation in real time during severe weather, resulting in insufficient flexibility in bus route operation.
Based on weather forecast data, a corresponding relationship table is generated using map tile technology. Weather forecast data is acquired and updated in real time, risk thresholds are determined, risky bus routes are screened out, and the results are sent to external terminals.
It enables real-time and accurate prediction of risks affecting bus route operations, ensuring the flexibility and timeliness of bus route operations.
Smart Images
Figure CN119273160A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of bus route management, and in particular to a bus route risk point update management method and system based on weather forecast data. Background Art
[0002] As the main means of transportation in cities, public transport vehicles play an extremely important role in alleviating urban traffic pressure. The operation of public transport vehicles is easily affected by bad weather. For example, when encountering heavy rain, or severe convective weather accompanied by lightning and short-term heavy rainfall, the safe operation of public transport vehicles may be greatly affected.
[0003] In order to minimize the impact of bad weather on public transport vehicles, existing public transport companies mostly adopt emergency plans. For example, after learning of the heavy rain warning, the company activated the emergency plan as required, closely monitored weather changes through manual methods, and used manual group GPS text messages and other methods to warn drivers to drive safely. This method of using manual emergency plans will not only greatly reduce the timeliness and effectiveness, but also, more importantly, it is impossible to accurately obtain the real-time weather conditions of multiple locations along the bus route, which makes it impossible to accurately predict the real-time risk points of weather factors affecting the operation of bus routes, and thus it is impossible to fully and real-timely guarantee the flexibility of bus route operation. Summary of the invention
[0004] In view of this, the present invention provides a bus line risk point update management method and system based on weather forecast data, which can accurately predict the real-time risk points of weather factors affecting bus line operation based on real-time weather forecast data, thereby fully and in real time ensuring the flexibility of bus line operation.
[0005] The first aspect of the present invention discloses a method for updating and managing risk points of public transportation routes based on weather forecast data, comprising the following steps:
[0006] Step S1, using map tile technology to slice the data map, generate map tiles and obtain tile numbers;
[0007] Step S2, based on the geographic information of the regional surface of the bus line operation area, obtain all map tiles covering the regional surface;
[0008] Step S3, obtaining all bus routes within the area where the bus routes are running, and calculating the map tiles that each bus route passes through, so as to form a corresponding relationship table between the map tiles and the bus routes;
[0009] Step S4, presetting a risk type and a risk threshold for each map tile within the area;
[0010] Step S5, acquiring and accessing weather forecast data corresponding to the geographical location of the map tiles within the regional surface in real time, so as to update the weather forecast data corresponding to the map tiles within the regional surface in real time;
[0011] Step S6, based on the corresponding weather forecast data, determining whether there is a map tile within the area whose weather forecast data exceeds a set risk threshold;
[0012] Step S7, when it is judged that there is a risk, filter out the map tiles that exceed the set risk threshold as risk map tiles, and based on the correspondence table between map tiles and bus routes, obtain the bus route corresponding to the corresponding risk map tile, and use it as the risk bus route;
[0013] Step S8, generating risk data based on the acquired risky bus routes and sending the data to an external terminal;
[0014] Repeat the above steps S5 to S8.
[0015] The map tile technology is implemented using existing technology, such as the Mercator tile technology to be mentioned below. According to the Mercator tile technology, the numbering of the Mercator tiles formed by online map slices is fixed, which can also be implemented by existing technology and will not be repeated here. The so-called data map refers to an online map, which can be derived from an existing map database, such as Baidu Map, Amap or Tencent Map, etc., or it can be other commercial or non-commercial map databases for the public. In addition, the so-called bus line operation area can be selected and set according to needs. Taking Chongqing as an example, the bus line operation area here can be selected and set as the area covered by the main urban area of Chongqing; wherein the regional surface is determined by the geographical location of the administrative division as the boundary.
[0016] In the above implementation process, after slicing the data map, based on the geographic information of the regional surface of the determined bus line operation area, all map tiles corresponding to the regional surface are obtained, with the principle that the map tiles cover the entire regional surface; then, a corresponding relationship is established between each map tile and the bus line passing through the corresponding map tile, for example, a map tile can correspond to multiple bus lines, or there may be no corresponding bus line in a certain map tile; then the real-time weather forecast data judges the risk threshold of the map tile, and when the real-time weather forecast data of a certain map tile exceeds the risk threshold, the map tile is judged to be at risk, and accordingly, the bus line passing through the at-risk map tile is also regarded as being at risk, thereby determining the risky bus line. Based on the present invention, the real-time risk points of the impact of weather factors on the operation of the bus line can be accurately predicted based on the real-time weather forecast data, thereby fully and in real time ensuring the flexibility of the operation of the bus line.
[0017] In the present invention, weather forecast data includes temperature, rainfall, wind force and visibility, which are all real-time data; when the real-time weather forecast data obtained at a certain moment changes compared to the weather forecast data at the previous moment, the weather forecast data corresponding to the map tile is updated based on the current real-time weather forecast data, and the judgment work is started, that is, it is judged whether the current real-time weather forecast data exceeds the risk threshold value pre-set for the corresponding map tile. When the risk threshold value is exceeded, it is judged as a risk. Among them, the risk threshold value can be a threshold value of one of temperature, rainfall, wind force and visibility, and can also be a threshold value of two or more parameters. In a preferred embodiment, the rainfall parameter is used as the setting object of the risk threshold value, that is, the rainfall value is pre-set as the risk threshold value. When the real-time rainfall in the real-time weather forecast data obtained exceeds the risk threshold value, the corresponding map tile is judged as a risk point.
[0018] According to the bus route risk point update management method based on weather forecast data disclosed in the first aspect of the present invention, in step S4, it includes:
[0019] Select a specific map tile to set as a specific risk area, and pre-set a specific risk type and a specific risk threshold for the specific risk area;
[0020] Map tiles other than specific map tiles within the regional surface are defined as non-specific map tiles, and the corresponding area is defined as a non-specific risk area, which is subject to the total risk type and total risk threshold corresponding to the total regional surface.
[0021] According to the bus route risk point update management method based on weather forecast data disclosed in the first aspect of the present invention, in step S3, based on the GPS longitude and latitude information related to the trajectory of the bus route, the bus routes covered by the map tiles are queried through the postgre geographic database to calculate the map tiles passed by each bus route.
[0022] According to the bus route risk point update management method based on weather forecast data disclosed in the first aspect of the present invention, in step S1, the map tile technology is the Mercator tile technology.
[0023] According to the bus route risk point update management method based on weather forecast data disclosed in the first aspect of the present invention, in step S8, a responsibility object is set for a specific risk area, and a corresponding relationship is formed between the responsibility object and the external terminal. The risk data related to the specific risk area will be sent to the external terminal corresponding to the responsibility object of the corresponding specific risk area.
[0024] The second aspect of the present invention further discloses a bus route risk point update management system based on weather forecast data, comprising:
[0025] A data map slicing unit is constructed to slice the data map using a map tile technology, generate map tiles and obtain tile numbers;
[0026] A regional surface tile acquisition unit, which is constructed to acquire all map tiles covering the regional surface based on geographic information of the regional surface of the bus line operation area;
[0027] A correspondence generation unit is configured to obtain all bus routes within the area where the bus routes are operated, and calculate the map tiles along which each bus route passes, so as to form a correspondence table between the map tiles and the bus routes;
[0028] A threshold setting unit is configured to pre-set a risk type and a risk threshold for each map tile within the area surface;
[0029] A weather data acquisition and update unit, which is configured to acquire and access weather forecast data corresponding to the geographical location of the map tiles within the regional surface in real time, so as to update the weather forecast data corresponding to the map tiles within the regional surface in real time;
[0030] A comparison and judgment unit, which is configured to judge whether the weather forecast data of a map tile in the area exceeds a set risk threshold based on the corresponding weather forecast data;
[0031] A route screening unit is configured to, when it is determined that there is a risk, screen out map tiles that exceed a set risk threshold as risk map tiles, and based on a correspondence table between map tiles and bus routes, obtain a bus route corresponding to the corresponding risk map tile and use it as a risk bus route;
[0032] The early warning unit is configured to generate risk data based on the acquired risky bus routes and transmit the risk data to an external terminal.
[0033] According to the bus route risk point update management system based on weather forecast data disclosed in the second aspect of the present invention, the threshold setting unit is constructed to select a specific map tile to be set as a specific risk area, and pre-set a specific risk type and a specific risk threshold for the specific risk area; and is constructed to limit the map tiles other than the specific map tiles within the area surface as non-specific map tiles, and limit the corresponding area as a non-specific risk area, which is applicable to the total risk type and total risk threshold corresponding to the total area surface.
[0034] According to the bus route risk point update management system based on weather forecast data disclosed in the second aspect of the present invention, the corresponding relationship generation unit is further constructed to query the bus routes covered by the map tiles through the postgre geographic database based on the GPS longitude and latitude information related to the trajectory of the bus routes, so as to calculate the map tiles passed by each bus route.
[0035] A third aspect of the present invention discloses a computing device, which includes a processor and a memory, wherein the memory stores computer instructions, and the processor executes the computer instructions to implement the method disclosed according to the first aspect of the present invention.
[0036] The fourth aspect of the present invention discloses a computer-readable storage medium storing computer instructions. When the computer instructions in the computer-readable storage medium are executed by a computing device, the computing device executes the method disclosed according to the first aspect of the present invention, or the computing device implements the functions of the system disclosed according to the second aspect of the present invention.
[0037] Beneficial effect: In the bus line risk point update management method and system based on weather forecast data of the present invention, the real-time risk points of weather factors affecting the operation of the bus line can be accurately predicted based on real-time weather forecast data, thereby fully and in real time ensuring the flexibility of the operation of the bus line.
[0038] The bus route risk point update management method and system based on weather forecast data of the present invention are disclosed in detail below in conjunction with the embodiments shown in the accompanying drawings and the accompanying drawing numbers. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 A flow chart showing the steps of the bus route risk point update management method based on weather forecast data of the present invention is shown.
[0040] Figure 2 A schematic diagram of all map tiles in the area of Chongqing's main urban area is shown, wherein the map tiles are shown in the form of a grid.
[0041] Figure 3 A schematic diagram of the status display when risk warning is performed in the system of the present invention based on the method of the present invention is shown. DETAILED DESCRIPTION
[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings 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.
[0043] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other.
[0044] Figure 1 The following is a flow chart showing the steps of the bus route risk point update management method based on weather forecast data of the present invention. Figure 1 As shown, the first embodiment of the present invention discloses a bus route risk point update management method based on weather forecast data, comprising the following steps:
[0045] Step S1, using map tile technology to slice the data map, generate map tiles and obtain tile numbers;
[0046] Step S2, based on the geographic information of the area surface of the bus line operation area, obtain all map tiles covering the area surface; Figure 2 As shown, taking Chongqing as an example, all map tiles covering the area of Chongqing's main urban area are shown;
[0047] Step S3, obtaining all bus routes within the area where the bus routes are running, and calculating the map tiles that each bus route passes through, so as to form a corresponding relationship table between the map tiles and the bus routes;
[0048] Step S4, presetting a risk type and a risk threshold for each map tile within the area;
[0049] Step S5, acquiring and accessing weather forecast data corresponding to the geographical location of the map tiles within the regional surface in real time, so as to update the weather forecast data corresponding to the map tiles within the regional surface in real time;
[0050] Step S6, based on the corresponding weather forecast data, determining whether there is a map tile within the area whose weather forecast data exceeds a set risk threshold;
[0051] Step S7, when it is judged that there is a risk, filter out the map tiles that exceed the set risk threshold as risk map tiles, and based on the correspondence table between map tiles and bus routes, obtain the bus route corresponding to the corresponding risk map tile, and use it as the risk bus route;
[0052] Step S8, generating risk data based on the acquired risky bus routes and sending the data to an external terminal;
[0053] Repeat the above steps S5 to S8.
[0054] The map tile technology is implemented using existing technology, such as the Mercator tile technology to be mentioned below. According to the Mercator tile technology, the numbering of the Mercator tiles formed by online map slices is fixed, which can also be implemented by existing technology and will not be repeated here. The so-called data map refers to an online map, which can be derived from an existing map database, such as Baidu Map, Amap or Tencent Map, etc., or it can be other commercial or non-commercial map databases for the public. In addition, the so-called bus line operation area can be selected and set according to needs. Taking Chongqing as an example, the bus line operation area here can be selected and set as the area covered by the main urban area of Chongqing; wherein the regional surface is determined by the geographical location of the administrative division as the boundary.
[0055] In the above implementation process, after slicing the data map, based on the geographic information of the regional surface of the determined bus line operation area, all map tiles corresponding to the regional surface are obtained, with the principle that the map tiles cover the entire regional surface; then, a corresponding relationship is established between each map tile and the bus line passing through the corresponding map tile, for example, a map tile can correspond to multiple bus lines, or there may be no corresponding bus line in a certain map tile; then the real-time weather forecast data judges the risk threshold of the map tile, and when the real-time weather forecast data of a certain map tile exceeds the risk threshold, the map tile is judged to be at risk, and accordingly, the bus line passing through the at-risk map tile is also regarded as being at risk, thereby determining the risky bus line. Based on the present invention, the real-time risk points of the impact of weather factors on the operation of the bus line can be accurately predicted based on the real-time weather forecast data, thereby fully and in real time ensuring the flexibility of the operation of the bus line.
[0056] In the present invention, weather forecast data includes temperature, rainfall, wind force and visibility, which are all real-time data; when the real-time weather forecast data obtained at a certain moment changes compared to the weather forecast data at the previous moment, the weather forecast data corresponding to the map tile is updated based on the current real-time weather forecast data, and the judgment work is started, that is, it is judged whether the current real-time weather forecast data exceeds the risk threshold value pre-set for the corresponding map tile. When the risk threshold value is exceeded, it is judged as a risk. Among them, the risk threshold value can be a threshold value of one of temperature, rainfall, wind force and visibility, and can also be a threshold value of two or more parameters. In a preferred embodiment, the rainfall parameter is used as the setting object of the risk threshold value, that is, the rainfall value is pre-set as the risk threshold value. When the real-time rainfall in the real-time weather forecast data obtained exceeds the risk threshold value, the corresponding map tile is judged as a risk point.
[0057] In the first embodiment of the present invention, in step S4, it includes:
[0058] Select a specific map tile to set as a specific risk area, and pre-set a specific risk type and a specific risk threshold for the specific risk area;
[0059] Map tiles other than specific map tiles within the regional surface are defined as non-specific map tiles, and the corresponding area is defined as a non-specific risk area, which is subject to the total risk type and total risk threshold corresponding to the total regional surface.
[0060] In the first embodiment of the present invention, in step S3, based on the GPS longitude and latitude information related to the trajectory of the bus line, the bus lines covered by the map tiles are queried through the postgre geographic database to calculate the map tiles passed by each bus line.
[0061] In the first embodiment of the present invention, in step S1, the map tile technology is the Mercator tile technology.
[0062] In the first embodiment of the present invention, in step S8, a responsibility object is set for a specific risk area, and a corresponding relationship is formed between the responsibility object and the external terminal. The risk data related to the specific risk area will be sent to the external terminal corresponding to the responsibility object of the corresponding specific risk area.
[0063] Additionally, between step S7 and step S8, the process further includes determining the travel risk of the bus routes in the risk map tiles, which includes:
[0064] Based on the real-time visibility data and / or real-time rainfall data in the real-time meteorological source data, the driving risk of the bus route is judged for the determined risk map tile and the map tiles adjacent to it at the first level;
[0065] When it is determined that the driving risk of the bus route in the determined risk map tile is high risk, at least one map tile whose driving risk of the bus route is lower than the high risk is selected from multiple map tiles adjacent to it at the first level as a driving replacement map tile; wherein the first level adjacent refers to a map tile that is directly adjacent to the determined risk map tile in terms of geographical information, and according to the geographical location, there can be multiple map tiles that are adjacent to the corresponding map tile of the determined risk at the first level;
[0066] When the driving risk of the bus line in the first-level adjacent map tile is also high risk, the driving risk of the bus line in the next-level adjacent map tile is judged based on the current adjacent map tile, until at least one map tile with a driving risk lower than the high risk is obtained, and it is used as the driving replacement map tile;
[0067] Next, in step S8, it also includes: sending the location information and distance information of the alternative map tile to the dispatcher and / or driver of the corresponding bus line whose original route has been determined as the risk map tile.
[0068] Among them, the level of driving risk is set to be distinguished from the risk type of map tiles, which can be set to be judged based on one of the influencing factors such as temperature, rainfall, wind and visibility, or at least a combination of two. That is, when a map tile is determined to be risky, driving within it is not necessarily risky, and it needs to be judged by one of the influencing factors such as temperature, rainfall, wind and visibility, or at least a combination of two. Of course, the specific judgment method of driving risk can be implemented through existing technologies, such as judging high risk or low risk by the amount of rainfall, and of course, it can also be judged by combining rainfall with other influencing factors.
[0069] Through the above steps, the driver can effectively understand the driving risks in the risky map tiles that have been determined, and when it is known that the driving risks in the risky map tiles that have been determined are high, other driving alternative map tiles can be selected as soon as possible to bypass the map tiles that have been determined as risky.
[0070] The second embodiment of the present invention discloses a bus route risk point update management system based on weather forecast data, comprising:
[0071] A data map slicing unit is constructed to slice the data map using a map tile technology, generate map tiles and obtain tile numbers;
[0072] A regional surface tile acquisition unit, which is constructed to acquire all map tiles covering the regional surface based on geographic information of the regional surface of the bus line operation area;
[0073] A correspondence generation unit is configured to obtain all bus routes within the area where the bus routes are operated, and calculate the map tiles along which each bus route passes, so as to form a correspondence table between the map tiles and the bus routes;
[0074] A threshold setting unit is configured to pre-set a risk type and a risk threshold for each map tile within the area surface;
[0075] A weather data acquisition and update unit, which is configured to acquire and access weather forecast data corresponding to the geographical location of the map tiles within the regional surface in real time, so as to update the weather forecast data corresponding to the map tiles within the regional surface in real time;
[0076] A comparison and judgment unit, which is configured to judge whether the weather forecast data of a map tile in the area exceeds a set risk threshold based on the corresponding weather forecast data;
[0077] A route screening unit is configured to, when it is determined that there is a risk, screen out map tiles that exceed a set risk threshold as risk map tiles, and based on a correspondence table between map tiles and bus routes, obtain a bus route corresponding to the corresponding risk map tile and use it as a risk bus route;
[0078] The early warning unit is configured to generate risk data based on the acquired risky bus routes and transmit the risk data to an external terminal, wherein the external terminal can be a smart mobile device, such as a mobile phone, an IPDD, a laptop, etc., or can also be a vehicle-mounted device.
[0079] In a second embodiment of the present invention, the threshold setting unit is constructed to select a specific map tile as a specific risk area, and pre-set a specific risk type and a specific risk threshold for the specific risk area; and is constructed to limit the map tiles other than the specific map tiles within the area surface as non-specific map tiles, and limit the corresponding area as a non-specific risk area, which is applicable to the total risk type and total risk threshold corresponding to the total area surface.
[0080] In the second embodiment of the present invention, the correspondence generation unit is further constructed to query the bus routes covered by the map tiles through the postgre geographic database based on the GPS latitude and longitude information related to the trajectory of the bus routes, so as to calculate the map tiles passed by each bus route.
[0081] A third embodiment of the present invention discloses a computing device, which includes a processor and a memory, wherein the memory stores computer instructions, and the processor executes the computer instructions to implement the method disclosed according to the first aspect of the present invention.
[0082] The fourth embodiment of the present invention discloses a computer-readable storage medium storing computer instructions. When the computer instructions in the computer-readable storage medium are executed by a computing device, the computing device executes the method disclosed according to the first aspect of the present invention, or the computing device implements the functions of the system disclosed according to the second aspect of the present invention.
[0083] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.
[0084] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.
[0085] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0086] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution 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 solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.
Claims
1. A method for updating and managing risk points of bus routes based on weather forecast data, characterized in that: The following steps are involved: Step S1, using map tile technology to slice the data map, generate map tiles and obtain tile numbers; Step S2, based on the geographic information of the regional surface of the bus line operation area, obtain all map tiles covering the regional surface; Step S3, obtaining all bus routes within the area where the bus routes are running, and calculating the map tiles that each bus route passes through, so as to form a corresponding relationship table between the map tiles and the bus routes; Step S4, presetting a risk type and a risk threshold for each map tile within the area; Step S5, acquiring and accessing weather forecast data corresponding to the geographical location of the map tiles within the regional surface in real time, so as to update the weather forecast data corresponding to the map tiles within the regional surface in real time; Step S6, based on the corresponding weather forecast data, determining whether there is a map tile within the area whose weather forecast data exceeds a set risk threshold; Step S7, when it is judged that there is a risk, filter out the map tiles that exceed the set risk threshold as risk map tiles, and based on the correspondence table between map tiles and bus routes, obtain the bus route corresponding to the corresponding risk map tile, and use it as the risk bus route; Step S8, generating risk data based on the acquired risky bus routes and sending the data to an external terminal; Repeat the above steps S5 to S8.
2. The method for updating and managing risk points of public transportation routes based on weather forecast data according to claim 1, characterized in that: In step S4, it includes: Select a specific map tile to set as a specific risk area, and pre-set a specific risk type and a specific risk threshold for the specific risk area; Map tiles other than specific map tiles within the regional surface are defined as non-specific map tiles, and the corresponding area is defined as a non-specific risk area, which is subject to the total risk type and total risk threshold corresponding to the total regional surface.
3. The method for updating and managing risk points of public transportation routes based on weather forecast data according to claim 2 is characterized in that: In step S3, based on the GPS longitude and latitude information related to the trajectory of the bus line, the bus lines covered by the map tiles are queried through the PostgreSQL geographic database to calculate the map tiles along which each bus line passes.
4. The method for updating and managing risk points of public transportation routes based on weather forecast data according to claim 3 is characterized in that: In step S1, the map tile technology is the Mercator tile technology.
5. The method for updating and managing risk points of public transportation routes based on weather forecast data according to claim 4 is characterized in that: In step S8, a responsibility object is set for the specific risk area, and a corresponding relationship is formed between the responsibility object and the external terminal. The risk data related to the specific risk area will be sent to the external terminal corresponding to the responsibility object of the corresponding specific risk area.
6. A bus route risk point update management system based on weather forecast data, characterized in that: include: A data map slicing unit is constructed to slice the data map using a map tile technology, generate map tiles and obtain tile numbers; A regional surface tile acquisition unit, which is constructed to acquire all map tiles covering the regional surface based on geographic information of the regional surface of the bus line operation area; A correspondence generation unit is configured to obtain all bus routes within the area where the bus routes are operated, and calculate the map tiles along which each bus route passes, so as to form a correspondence table between the map tiles and the bus routes; A threshold setting unit is configured to pre-set a risk type and a risk threshold for each map tile within the area surface; A weather data acquisition and update unit, which is configured to acquire and access weather forecast data corresponding to the geographical location of the map tiles within the regional surface in real time, so as to update the weather forecast data corresponding to the map tiles within the regional surface in real time; A comparison and judgment unit, which is configured to judge whether the weather forecast data of a map tile in the area exceeds a set risk threshold based on the corresponding weather forecast data; A route screening unit is configured to, when it is determined that there is a risk, screen out map tiles that exceed a set risk threshold as risk map tiles, and based on a correspondence table between map tiles and bus routes, obtain a bus route corresponding to the corresponding risk map tile and use it as a risk bus route; The early warning unit is configured to generate risk data based on the acquired risky bus routes and transmit the risk data to an external terminal.
7. The bus route risk point update management system based on weather forecast data according to claim 6 is characterized in that: The threshold setting unit is constructed to select a specific map tile to set as a specific risk area, and pre-set a specific risk type and a specific risk threshold for the specific risk area; and is constructed to limit the map tiles other than the specific map tiles within the area surface as non-specific map tiles, and limit the corresponding area as a non-specific risk area, which is applicable to the total risk type and total risk threshold corresponding to the total area surface.
8. The bus route risk point update management system based on weather forecast data according to claim 7 is characterized in that: The corresponding relationship generating unit is further constructed to query the bus routes covered by the map tiles through the postgre geographic database based on the GPS latitude and longitude information related to the trajectory of the bus routes, so as to calculate the map tiles passed by each bus route.
9. A computing device, characterized in that The system comprises a processor and a memory, wherein the memory stores computer instructions, and the processor executes the computer instructions to implement the method according to any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that: It stores computer instructions. When the computer instructions in the computer-readable storage medium are executed by a computing device, the computing device executes the method according to any one of claims 1 to 5, or the computing device implements the functions of the system according to any one of claims 6 to 8.