Multi-network converged traffic meteorological information system

Abstract

The embodiment of the present application relates to a kind of multi-network fusion traffic meteorological information system, the system includes: meteorological information acquisition equipment, vehicle terminal, mobile terminal and traffic meteorological cloud platform.Through the system of the present application, not only based on multi-network fusion information increases the traffic attribute of the collected information, improves the coverage of meteorological information acquisition, also based on the comprehensive information query mode of traffic+meteorology provided to user improves the travel quality and travel efficiency of user.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a multi-network integrated traffic and meteorological information system. Background Technology

[0002] Conventional traffic meteorological information systems only collect meteorological information and make weather forecasts through a series of meteorological information collection devices pre-installed along each road. They cannot obtain information related to traffic (road conditions, vehicle conditions) or provide users with comprehensive information queries on traffic and weather. Summary of the Invention

[0003] The purpose of this invention is to address the shortcomings of existing technologies by providing a multi-network integrated traffic and meteorological information system. This system includes: meteorological information acquisition equipment, vehicle-mounted terminals, mobile terminals, and a traffic and meteorological cloud platform. Through this system, not only can the traffic attributes of the collected information be increased and the coverage of meteorological information expanded based on multi-network integrated information (traffic and meteorological information provided by the vehicle-mounted terminal through the vehicle-to-everything (V2X) communication network, and environmental information provided by the mobile terminal through the mobile communication network), but it can also improve users' travel quality and efficiency by providing them with a comprehensive traffic and meteorological information query method.

[0004] To achieve the above objectives, embodiments of the present invention provide a multi-network integrated traffic meteorological information system, the system comprising: meteorological information acquisition equipment, vehicle-mounted terminal, mobile terminal, and traffic meteorological cloud platform;

[0005] The meteorological information collection device is connected to the traffic meteorological cloud platform via the Beidou communication network; the meteorological information collection device is deployed along each road; the meteorological information collection device is used to collect the current first time information, first location information, first road information and first meteorological information to generate a corresponding first information set; and send the first vehicle information set to the traffic meteorological cloud platform;

[0006] The vehicle-mounted terminal is connected to the traffic meteorological cloud platform via a vehicle network communication network; the vehicle-mounted terminal is used to collect the current second time information, second location information, first environmental image information, first vehicle condition information, first road condition information, and first environmental temperature and humidity information to generate a corresponding second information set; and send the second vehicle information set to the traffic meteorological cloud platform;

[0007] The mobile terminal is connected to the traffic meteorological cloud platform via a mobile communication network; the mobile terminal is used to collect the current third time information, third location information, and second environmental image information to generate a corresponding third information set, and send the third information set to the traffic meteorological cloud platform; the mobile terminal is also used to obtain a first query location, send the first query location to the traffic meteorological cloud platform, receive the first traffic meteorological information set sent back by the traffic meteorological cloud platform, and display the first traffic meteorological information set;

[0008] The traffic meteorological cloud platform is used to update the local historical traffic information network and historical meteorological information network based on the received first, second, or third information sets; the traffic meteorological cloud platform is also used to update the local predicted traffic information network based on the historical traffic information network; the traffic meteorological cloud platform is also used to update the local predicted meteorological information network based on the historical meteorological information network; the traffic meteorological cloud platform is also used to perform real-time and predicted traffic meteorological information query processing based on the received first query location.

[0009] Preferably, the meteorological information acquisition device is specifically used to acquire the device time information at the current moment as the corresponding first time information when acquiring the current first time information, first location information, first road information, and first meteorological information to generate the corresponding first information set; acquire the device location information at the current moment as the corresponding first location information; acquire the locally preset installed road signs, road segment signs, and road segment node signs to form the corresponding first road information; and use the air temperature, air humidity, road surface temperature, atmospheric pressure, wind force and wind direction, and precipitation observed at the current moment as the corresponding first air temperature information, first air humidity information, first road surface temperature information, first air pressure information, first wind force and wind direction information, and first precipitation information to form the corresponding first meteorological information; and the obtained first time information, first location information, first road information, and first meteorological information form the corresponding first information set.

[0010] Preferably, the vehicle-mounted terminal includes a first image acquisition unit, a road condition information acquisition unit, a temperature and humidity detection unit, and a vehicle central control unit; the vehicle central control unit is connected to the first image acquisition unit, the road condition information acquisition unit, and the temperature and humidity detection unit respectively.

[0011] Specifically, when the vehicle-mounted terminal collects the current second time information, second location information, first environmental image information, first vehicle condition information, first road condition information, and first environmental temperature and humidity information to generate a corresponding second information set, the vehicle-mounted central control unit obtains the terminal time information and terminal positioning information at the current moment as the corresponding second time information and second location information; obtains the environmental image captured by the first image acquisition unit at the current moment as the corresponding first environmental image information; obtains the real-time vehicle condition information and real-time road condition information analyzed by the vehicle road condition information acquisition unit at the current moment as the corresponding first vehicle condition information and first road condition information; obtains the real-time external temperature and humidity detection result output by the temperature and humidity detection unit at the current moment as the corresponding first environmental temperature and humidity information; and the second time information, second location information, first environmental image information, first vehicle condition information, first road condition information, and first environmental temperature and humidity information constitute the corresponding second information set.

[0012] Preferably, the mobile terminal includes a second image acquisition unit and a mobile central control unit; the second image acquisition unit is connected to the mobile central control unit.

[0013] Specifically, when the mobile terminal collects the current third time information, third location information, and second environmental image information to generate a corresponding third information set, the mobile central control unit obtains the terminal time information and terminal positioning information at the current moment as the corresponding third time information and third location information; and obtains the environmental image captured by the second image acquisition unit at the current moment as the corresponding second environmental image information; and the third time information, third location information, and second environmental image information constitute the corresponding third information set.

[0014] Preferably, the traffic meteorological cloud platform includes a BeiDou communication device, a vehicle-to-everything (V2X) communication device, a mobile communication device, and a road network meteorological server; the BeiDou communication device is connected to the road network meteorological server and to the meteorological information acquisition device through the BeiDou communication network; the V2X communication device is connected to the road network meteorological server and to the vehicle-mounted terminal through the V2X communication network; the mobile communication device is connected to the road network meteorological server and to the mobile terminal through the mobile communication network.

[0015] Preferably, the traffic meteorological cloud platform is specifically used for the following purposes when updating the local historical traffic information network and historical meteorological information network based on the received first, second, or third information sets: the Beidou communication device receives the first information set sent by the meteorological information collection device and forwards the first information set to the road network meteorological server; the vehicle network communication device receives the second information set sent by the vehicle terminal and forwards the second information set to the road network meteorological server; the mobile communication device receives the third information set sent by the mobile terminal and forwards the third information set to the road network meteorological server; the road network meteorological server updates the historical traffic information network based on the second or third information set; and the road network meteorological server updates the historical meteorological information network based on the first, second, or third information set.

[0016] The traffic meteorological cloud platform is specifically used to, when updating the local predictive traffic information network based on the historical traffic information network, have the road network meteorological server predict the road network traffic conditions within a first future specified time period based on the historical traffic information network and update the predictive traffic information network based on the prediction results.

[0017] The traffic meteorological cloud platform is specifically used to, when updating the local forecast meteorological information network based on the historical meteorological information network, have the road network meteorological server predict the road network meteorological conditions for a second future specified time period based on the historical meteorological information network and update the forecast meteorological information network based on the prediction results.

[0018] Preferably, the historical traffic information network includes multiple first road networks; the first road network includes multiple first grids; the first grid includes first grid location information, first grid road information, and a first historical list; the first historical list includes multiple first historical records; the first historical records include a first time field, a first environmental image field, a first road condition field, and a first vehicle condition field;

[0019] The historical meteorological information network includes multiple second road networks; the second road network includes multiple second grids; the second grid includes second grid location information, second grid road information, and a second historical list; the second historical list includes multiple second historical records; the second historical records include a second time field, a second environmental image field, a first temperature field, a first humidity field, a first road surface temperature field, a first air pressure field, a first wind force and wind direction field, and a first precipitation field;

[0020] The predicted traffic information network includes multiple third road networks; the third road network includes multiple third grids; the third grid includes third grid location information, third grid road information, and a first prediction list; the first prediction list includes multiple first prediction records; the first prediction record includes a first prediction time field, a first prediction road condition field, and a first prediction average vehicle speed field.

[0021] The predicted meteorological information network includes multiple fourth road networks; each fourth road network includes multiple fourth grids; each fourth grid includes fourth grid location information, fourth grid road information, and a second prediction list; the second prediction list includes multiple second prediction records; each second prediction record includes a second prediction time field, a first prediction temperature field, a first prediction humidity field, a first prediction road surface temperature field, a first prediction air pressure field, a first prediction wind force and direction field, a first prediction precipitation field, a first prediction road surface condition field, and a first prediction visibility field; the first prediction road surface condition field includes slippery road surface level, waterlogged road surface level, icy road surface level, and high temperature road surface level; the first prediction visibility field includes multiple visibility levels.

[0022] Preferably, the traffic meteorological cloud platform is specifically used for the following when, during the real-time and predicted traffic meteorological information query processing based on the received first query location, the mobile communication device receives the first query location sent by the mobile terminal and forwards the first query location to the road network meteorological server; the road network meteorological server performs comprehensive traffic meteorological information query processing on the historical traffic information network, the historical meteorological information network, the predicted traffic information network, and the predicted meteorological information network based on the first query location to generate a corresponding first traffic meteorological information set, which is then forwarded to the mobile communication device; and the mobile communication device sends the first traffic meteorological information set back to the mobile terminal through the mobile communication network.

[0023] Furthermore, the road network meteorological server is specifically used to, when performing comprehensive traffic and meteorological information query processing on the historical traffic information network, the historical meteorological information network, the predicted traffic information network, and the predicted meteorological information network based on the first query location, record the first grid in the historical traffic information network with the smallest distance between the first grid location information and the first query location as the first matching grid, and extract one or more first historical records corresponding to the latest first time field in the first matching grid to form a corresponding first real-time traffic record set; and record the second grid in the historical meteorological information network with the smallest distance between the second grid location information and the first query location as the second matching grid, and extract one or more second historical records corresponding to the latest second time field in the second matching grid to form a corresponding first real-time meteorological record set; and record the third grid in the predicted traffic information network as the second matching grid. The third grid whose location information has the smallest distance from the first query location is designated as the third matching grid, and the first prediction list of the third matching grid is designated as the first matching list. All first prediction records in the first matching list whose first prediction time field is later than the current time are extracted to form the corresponding first prediction traffic record set. The fourth grid in the prediction meteorological information network whose location information has the smallest distance from the first query location is designated as the fourth matching grid, and the second prediction list of the fourth matching grid is designated as the second matching list. All second prediction records in the second matching list whose second prediction time field is later than the current time are extracted to form the corresponding first prediction meteorological record set. The first real-time traffic record set, the first real-time meteorological record set, the first prediction traffic record set, and the first prediction meteorological record set are combined to form the corresponding first traffic meteorological information set.

[0024] Preferably, the mobile communication network includes a 4G / 5G / LTE communication network;

[0025] The vehicle-to-everything (V2X) communication network includes a 4G / 5G / LTE communication network and a V2X communication network based on the 4G / 5G / LTE communication network.

[0026] This invention provides a multi-network integrated traffic and meteorological information system, comprising: meteorological information acquisition equipment, vehicle-mounted terminals, mobile terminals, and a traffic and meteorological cloud platform. Through this system, not only is the traffic attribute of the collected information increased and the coverage of meteorological information improved based on multi-network integrated information (traffic and meteorological information provided by the vehicle-mounted terminal through the vehicle-to-everything (V2X) communication network, and environmental information provided by the mobile terminal through the mobile communication network), but the system also improves users' travel quality and efficiency by providing them with a comprehensive traffic and meteorological information query method. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the structure of a multi-network integrated traffic and meteorological information system provided in an embodiment of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0029] Figure 1 This is a schematic diagram of the structure of a multi-network integrated traffic and meteorological information system provided in an embodiment of the present invention, as shown below. Figure 1 As shown, this system includes: meteorological information acquisition equipment 11, vehicle-mounted terminal 2, mobile terminal 3, and traffic meteorological cloud platform 4.

[0030] (I) Meteorological information acquisition equipment 11

[0031] Meteorological information collection device 11 is connected to traffic meteorological cloud platform 4 through Beidou communication network; meteorological information collection device 11 is deployed along each road; meteorological information collection device 11 is used to collect the current first time information, first location information, first road information and first meteorological information to generate the corresponding first information set; and send the first vehicle information set to traffic meteorological cloud platform 4.

[0032] In a specific implementation of this invention, the meteorological information acquisition device 11 is specifically used to acquire the device time information at the current moment as the corresponding first time information when acquiring the current first time information, first location information, first road information and first meteorological information to generate the corresponding first information set; acquire the device location information at the current moment as the corresponding first location information; acquire the locally preset installed road signs, road segment signs and road segment node signs to form the corresponding first road information; and take the air temperature, air humidity, road surface temperature, atmospheric pressure, wind force and wind direction and precipitation observed at the current moment as the corresponding first air temperature information, first air humidity information, first road surface temperature information, first air pressure information, first wind force and wind direction information and first precipitation information to form the corresponding first meteorological information; and form the corresponding first information set by the obtained first time information, first location information, first road information and first meteorological information.

[0033] Here, the meteorological information acquisition device 11 is a device equipped with a timing device, a storage module, a Beidou communication module, and multiple sensors. These sensors include at least an air temperature sensor, an air humidity sensor, a road surface temperature sensor, an atmospheric pressure sensor, a wind force and direction sensor, and a precipitation sensor. The meteorological information acquisition device 11 is pre-installed along both sides of a designated road. It is known that each road has a unique road identifier; each road is divided into multiple segments, and each segment also corresponds to a unique road segment identifier; each road segment can be equally divided into multiple equally spaced nodes along its side, and each segment node also corresponds to a unique segment node identifier. When installing the meteorological information acquisition device 11, the device is installed on a specific road segment node, and the road identifier, road segment identifier, and segment node identifier corresponding to that road segment node are written to the device's storage module. Under normal operating conditions, the meteorological information acquisition device 11 collects information periodically at a preset collection frequency. During each information collection, the meteorological information collection device 11 obtains the current time information through a timing device to generate first time information; obtains the current device positioning information through the Beidou communication module as first location information; and assembles corresponding first road information by reading road signs, road segment signs, and road segment node signs from the storage module; and obtains the current air temperature, air humidity, road surface temperature, atmospheric pressure, wind force and direction, and precipitation information through air temperature, air humidity, road surface temperature, atmospheric pressure, wind force and direction, and precipitation detection sensors to generate corresponding first air temperature information, first air humidity information, first road surface temperature information, first air pressure information, first wind force and direction information, and first precipitation information to assemble corresponding first meteorological information; and transmits the first information set, including first time information, first location information, first road information, and first meteorological information, to the remote traffic meteorological cloud platform 4 via the Beidou communication network through the Beidou communication module.

[0034] It should be noted that the system in this embodiment of the invention may also include a satellite remote sensing data acquisition device 12 and a geological disaster monitoring instrument 13.

[0035] The satellite remote sensing data acquisition device 12 is connected to the meteorological satellite and the traffic meteorological cloud platform 4 via the Beidou communication network. The satellite remote sensing data acquisition device 12 periodically acquires meteorological data information of a designated surface area from the meteorological satellite at a set communication frequency, forming a first regional information set. Here, the meteorological satellite divides the surface area into grids, generating multiple grid center points and treating each grid center point as a regional feature point. Each regional feature point corresponds to a land feature type (land features are fixed natural or artificial objects on the surface, such as rivers, roads, and buildings; land feature types include at least river, road, and building types) and a land feature identifier (when the land feature type is river, road, or building type, the land feature identifier is the corresponding river, road, or building identifier). Therefore, the first regional information set includes multiple first feature point information groups, and each first feature point information group includes... The system acquires the coordinates of a first feature point, the time of the first feature point, the type of land cover at the first feature point (including at least river type, road type, and building type), the identifier of the first feature point, and the meteorological information of the first feature point. The meteorological information of the first feature point includes air temperature, air humidity, road surface temperature, atmospheric pressure, wind force and wind direction, and precipitation. After obtaining the information set of the first region, the satellite remote sensing data acquisition device 12 extracts the time of the first feature point, the coordinates of the first feature point, the identifier of the first feature point, and the meteorological information of the first feature point information group whose land cover type is road type. These are used as the corresponding first time information, first location information, first road information, and first meteorological information to form the corresponding first feature point information set. The obtained multiple first feature point information sets are combined to form the corresponding first information set and sent to the traffic meteorological cloud platform 4.

[0036] The geological disaster monitoring instrument 13 is connected to the traffic meteorological cloud platform 4 through the Beidou communication network. The geological disaster monitoring instrument 13 periodically collects meteorological data of the road location according to the set collection frequency, generates corresponding first time information, first location information, first road information and first meteorological information to form a corresponding first information set, and sends it to the traffic meteorological cloud platform 4.

[0037] (II) Vehicle-mounted terminal 2

[0038] The vehicle-mounted terminal 2 is connected to the traffic meteorological cloud platform 4 through the vehicle network communication network.

[0039] The vehicle terminal 2 includes a first image acquisition unit 21, a road condition information acquisition unit 22, a temperature and humidity detection unit 23, and a vehicle central control unit 24; the vehicle central control unit 24 is connected to the first image acquisition unit 21, the road condition information acquisition unit 22, and the temperature and humidity detection unit 23 respectively; the vehicle network communication network includes a 4G / 5G / LTE communication network and a V2X (vehicle to X) communication network based on the 4G / 5G / LTE communication network.

[0040] Here, the vehicle terminal 2 is a vehicle-to-everything (V2X) onboard unit (OBU) device; the first image acquisition unit 21 is a camera connected to the V2X OBU device; the vehicle traffic information acquisition unit 22 is the intelligent vehicle traffic recognition module of the V2X OBU device; the temperature and humidity detection unit 23 is a temperature and humidity detection sensor connected to the V2X OBU device; and the vehicle central control unit 24 is the system main control module of the V2X OBU device. In addition to the aforementioned processing units related to information acquisition, the vehicle terminal 2 should also include a V2X communication module, a GPS or BeiDou positioning module, and a vehicle speed measurement module. The vehicle central control unit 24 is connected to these three modules respectively. The vehicle terminal 2 accesses the V2X communication network through its built-in V2X communication module to achieve data interaction with the traffic meteorological cloud platform 4.

[0041] The vehicle-mounted terminal 2 is used to collect the current second time information, second location information, first environmental image information, first vehicle condition information, first road condition information and first environmental temperature and humidity information to generate a corresponding second information set; and send the second vehicle information set to the traffic meteorological cloud platform 4.

[0042] In another specific implementation of this invention, the vehicle terminal 2 is specifically used to collect the current second time information, second location information, first environmental image information, first vehicle condition information, first road condition information, and first environmental temperature and humidity information to generate a corresponding second information set. Specifically, the vehicle central control unit 24 acquires the terminal time information and terminal positioning information at the current moment as the corresponding second time information and second location information; acquires the environmental image captured by the first image acquisition unit 21 at the current moment as the corresponding first environmental image information; acquires the real-time vehicle condition information and real-time road condition information analyzed by the vehicle road condition information acquisition unit 22 at the current moment as the corresponding first vehicle condition information and first road condition information; acquires the real-time external temperature and humidity detection result output by the temperature and humidity detection unit 23 at the current moment as the corresponding first environmental temperature and humidity information; and the second time information, second location information, first environmental image information, first vehicle condition information, first road condition information, and first environmental temperature and humidity information constitute the corresponding second information set.

[0043] Here, under normal operating conditions, the vehicle-mounted terminal 2 will periodically collect information from the vehicle-mounted central control unit 24 at a preset collection frequency. During each information collection, the vehicle-mounted central control unit 24 acquires the current system time information (i.e., the terminal time information) to generate corresponding second time information; it also acquires the current location information (i.e., the terminal location information) through its built-in GPS or Beidou positioning module to generate corresponding second location information; it captures real-time images of the road environment through the first image acquisition unit 21 to obtain corresponding first environmental image information; and it acquires the current vehicle speed through the vehicle speed measurement module to generate corresponding first vehicle speed information. The first vehicle speed information and the first environmental image information are then sent to the vehicle road condition information acquisition unit 22 for analysis. The real-time vehicle condition information and real-time road condition information returned by the vehicle condition information acquisition unit 22 are used as the corresponding first vehicle condition information and first road condition information; and the real-time external temperature and humidity detection results output by the temperature and humidity detection unit 23 are used to generate the corresponding first ambient temperature and humidity information, which includes the first ambient temperature information and the first ambient humidity information; and the second information set composed of the second time information, the second location information, the first environmental image information, the first vehicle condition information, the first road condition information and the first ambient temperature and humidity information are sent to the remote traffic meteorological cloud platform 4 via the vehicle network communication network through the built-in vehicle network communication module.

[0044] It should be noted that when the vehicle traffic information acquisition unit 22 receives the first vehicle speed information and the first environmental image information sent by the vehicle central control unit 24, it will use the first vehicle speed information as the corresponding real-time vehicle traffic information; perform road vehicle recognition processing on the first environmental image information; classify the current road congestion status according to the number of identified vehicles, vehicle positions and the first vehicle speed information, and use the classification result as the corresponding real-time traffic information; and send the obtained real-time vehicle traffic information and real-time traffic information back to the vehicle central control unit 24.

[0045] Here, the classification results of congestion conditions, i.e., real-time traffic information, include multiple traffic condition levels, each level corresponding to a congestion state; for example, real-time traffic information includes levels one, two, three, and four, with the congestion situation worsening as the level increases, level one indicating smooth traffic and level four indicating severe congestion.

[0046] (III) Mobile Terminal 3

[0047] Mobile terminal 3 connects to traffic and meteorological cloud platform 4 via mobile communication network.

[0048] The mobile terminal 3 includes a second image acquisition unit 31 and a mobile central control unit 32; the second image acquisition unit 31 is connected to the mobile central control unit 32; the mobile communication network includes a 4G / 5G / LTE communication network.

[0049] Here, mobile terminal 3 is a mobile device, including mobile phones, tablets, PADs, laptops, etc.; the second image acquisition unit 31 is an external or built-in camera connected to mobile terminal 3; and the mobile central control unit 32 is the system main control module of mobile terminal 3. In addition to the aforementioned processing units related to information acquisition, mobile terminal 3 should also include a mobile communication module, a GPS or BeiDou positioning module, an information input device (such as a keyboard, stylus, touchscreen, etc.), and a display screen. The mobile central control unit 32 is connected to these four modules respectively. Mobile terminal 3 accesses the mobile communication network through its built-in mobile communication module to achieve data interaction with the traffic and meteorological cloud platform 4.

[0050] Mobile terminal 3 is used to collect the current third time information, third location information and second environmental image information to generate a corresponding third information set, and send the third information set to the traffic meteorological cloud platform 4.

[0051] In another specific implementation of this invention, the mobile terminal 3 is specifically used to acquire the terminal time information and terminal positioning information at the current moment as the corresponding third time information and third location information when collecting the current third time information, third location information and second environmental image information to generate the corresponding third information set; and to acquire the environmental image captured by the second image acquisition unit 31 at the current moment as the corresponding second environmental image information; and to form the corresponding third information set by the third time information, third location information and second environmental image information.

[0052] Here, with user authorization, the mobile terminal 3 will have information collected by the mobile central control unit 32. During information collection, the mobile central control unit 32 will acquire the current system time information (i.e., the terminal time information) to generate corresponding third time information; acquire the current location information (i.e., the terminal location information) through its built-in GPS or BeiDou positioning module to generate corresponding third location information; capture real-time images of the road environment through the second image acquisition unit 31 to obtain corresponding second environmental image information; and transmit the third information set, consisting of the third time information, third location information, and second environmental image information, via the mobile communication network to the remote traffic and meteorological cloud platform 4 through its built-in mobile communication module.

[0053] The mobile terminal 3 is also used to obtain the first query location, send the first query location to the traffic meteorological cloud platform 4, receive the first traffic meteorological information set sent back by the traffic meteorological cloud platform 4, and display the first traffic meteorological information set.

[0054] Here, the mobile terminal 3 obtains the location information input by the user through its built-in information input device as the corresponding first query location; and sends the first query location to the remote traffic and meteorological cloud platform 4 via the mobile communication network through its built-in mobile communication module; and receives the query results sent back by the traffic and meteorological cloud platform 4 through the mobile communication module to obtain the corresponding first traffic and meteorological information set; and then displays the traffic and meteorological information in the first traffic and meteorological information set through its built-in display screen.

[0055] (iv) Traffic Meteorological Cloud Platform 4

[0056] The traffic meteorological cloud platform 4 includes a Beidou communication device 41, a vehicle network communication device 42, a mobile communication device 43, and a road network meteorological server 44. The Beidou communication device 41 is connected to the road network meteorological server 44 and is connected to the meteorological information collection device 11 through the Beidou communication network. The vehicle network communication device 42 is connected to the road network meteorological server 44 and is connected to the vehicle terminal 2 through the vehicle network communication network. The mobile communication device 43 is connected to the road network meteorological server 44 and is connected to the mobile terminal 3 through the mobile communication network.

[0057] Here, Beidou communication device 41 is a device or server with a Beidou communication module, vehicle network communication device 42 is a device or server with a vehicle network communication module, mobile communication device 43 is a device or server with a mobile communication module, and road network meteorological server 44 is a server or cloud platform.

[0058] The Traffic and Meteorology Cloud Platform 4 is used to update the local historical traffic information network and historical meteorological information network based on the first, second, or third sets of information received.

[0059] In another specific implementation of this invention, the traffic meteorological cloud platform 4 is specifically used to update the local historical traffic information network and historical meteorological information network according to the received first, second, or third information sets. Specifically, the Beidou communication device 41 receives the first information set sent by the meteorological information collection device 11 and forwards it to the road network meteorological server 44; the vehicle network communication device 42 receives the second information set sent by the vehicle terminal 2 and forwards it to the road network meteorological server 44; the mobile communication device 43 receives the third information set sent by the mobile terminal 3 and forwards it to the road network meteorological server 44; the road network meteorological server 44 updates the historical traffic information network according to the second or third information set; and the road network meteorological server 44 updates the historical meteorological information network according to the first, second, or third information set.

[0060] The historical traffic information network includes multiple first road networks; each first road network includes multiple first grids; each first grid includes first grid location information, first grid road information, and a first historical list; the first historical list includes multiple first historical records; each first historical record includes a first time field, a first environmental image field, a first road condition field, and a first vehicle condition field; the first road condition field includes multiple road condition levels, each level corresponding to a congestion state.

[0061] The historical meteorological information network includes multiple second road networks; the second road networks include multiple second grids; the second grids include second grid location information, second grid road information, and a second historical list; the second historical list includes multiple second historical records; the second historical records include a second time field, a second environmental image field, a first temperature field, a first humidity field, a first road surface temperature field, a first air pressure field, a first wind force and wind direction field, and a first precipitation field.

[0062] It should be noted that when the system in the embodiment of the present invention also includes a satellite remote sensing data acquisition device 12 and a geological disaster monitoring instrument 13, the traffic meteorological cloud platform 4 is also connected to the satellite remote sensing data acquisition device 12 and the geological disaster monitoring instrument 13 through a Beidou communication device 41, and the Beidou communication device 41 receives the first set of information sent by the satellite remote sensing data acquisition device 12 and the geological disaster monitoring instrument 13 and forwards it to the road network meteorological server 44.

[0063] In another specific implementation of this invention, the road network weather server 44 is specifically used to update the historical traffic information network based on a second or third information set.

[0064] Extract second time information, second location information, first environmental image information, first vehicle condition information, and first road condition information from the second information set; and take the first grid with the smallest distance between the first grid location information and the second location information in the historical traffic information network as the first matching grid; add a first historical record as the first new record in the first historical list corresponding to the first matching grid; and set the first time field of the first new record according to the second time information, the first environmental image field of the first new record according to the first environmental image information, the first road condition field of the first new record according to the first road condition information, and the first vehicle condition field of the first new record according to the first vehicle condition information.

[0065] Alternatively, third time information, third location information, and second environmental image information can be extracted from the third information set. Road vehicle recognition processing can be performed on the second environmental image information, and the current road congestion status can be classified according to the number of identified vehicles and the distance between their positions to generate corresponding first road condition classification information. The first grid with the smallest distance between the first grid location information and the third location information in the historical traffic information network can be used as the second matching grid. A first historical record can be added to the first historical list corresponding to the second matching grid, recorded as the second new record. The first time field of the second new record can be set according to the second time information, the first environmental image field can be set according to the second environmental image information, and the first road condition field can be set according to the first road condition classification information. Here, the first road condition classification information includes multiple road condition levels, each corresponding to a congestion state; for example, real-time road condition information includes levels one, two, three, and four, with congestion worsening as the level increases, where level one indicates smooth traffic and level four indicates severe congestion.

[0066] In another specific implementation of this invention, the road network meteorological server 44 is specifically used to update the historical meteorological information network based on the first, second, or third information set.

[0067] Extract the first time information, first location information, first road information, first air temperature information, first air humidity information, first road surface temperature information, first air pressure information, first wind force and direction information, and first precipitation information from the first information set; and take the second grid with the smallest distance between the second grid location information and the first location information in the historical meteorological information network as the third matching grid; add a second historical record to the second historical list corresponding to the third matching grid and record it as the third new record; and set the second time field of the third new record according to the first time information, the first temperature field of the third new record according to the first air temperature information, the first humidity field of the third new record according to the first air humidity information, the first road surface temperature field of the third new record according to the first road surface temperature information, the first air pressure field of the third new record according to the first air pressure information, the first wind force and direction field of the third new record according to the first wind force and direction information, and the first precipitation field of the third new record according to the first precipitation information.

[0068] Alternatively, extract the second time information, second location information, first environmental image information, and first environmental temperature and humidity information from the second information set; and take the second grid with the smallest distance between the second grid location information and the second location information in the historical meteorological information network as the fourth matching grid; add a second historical record to the second historical list corresponding to the fourth matching grid as the fourth new record; and set the second time field of the fourth new record according to the second time information, set the second environmental image field of the fourth new record according to the first environmental image information, and set the first temperature field and the first humidity field of the fourth new record according to the first environmental temperature and humidity information in the first environmental temperature and humidity information.

[0069] Alternatively, extract the third time information, the third location information, and the second environmental image information from the third information set; and take the second grid with the smallest distance between the second grid location information and the third location information in the historical meteorological information network as the fifth matching grid; add a second historical record to the second historical list corresponding to the fifth matching grid as the fifth new record; and set the second time field of the fifth new record according to the third time information, and set the second environmental image field of the fifth new record according to the second environmental image information.

[0070] Here, the traffic and meteorological cloud platform 4 is also connected to the road network map system of an external road network data center or the geographic information system (GIS) of a geographic data center. It can obtain the latest high-precision road network map from the road network map system or GIS system; and divide each road on the map into map grids based on the high-precision road network map, forming a corresponding map road network from all the map grids of each road. Because the map road network originates from the high-precision map, each map grid in the map road network has a corresponding map grid address. After obtaining the map road network corresponding to all roads, the traffic and meteorological cloud platform 4 can construct historical traffic information networks and historical meteorological information networks accordingly.

[0071] In the constructed historical traffic information network, each first road network corresponds to a map road network, each first grid corresponds to a map road network, the location information of each first grid corresponds to a map grid address, and the road information of each first grid corresponds to the road identifier of the road where the map grid is located. The traffic meteorological cloud platform 4 adds a set of historical traffic data, namely the first historical list, to each first grid; each first historical record in the first historical list is the traffic collection information of the current grid location at a specific point in time; whenever the traffic meteorological cloud platform 4 receives a second or third information set from the front-end vehicle terminal 2 or mobile terminal 3, it will add a corresponding first historical record to the first historical list of the corresponding first grid according to the currently received second or third information set.

[0072] Similarly, in the constructed historical meteorological information network, each second road network corresponds to a map road network, each second grid corresponds to a map road network, the location information of each second grid corresponds to a map grid address, and the road information of each second grid corresponds to the road identifier of the road where the map grid is located. The traffic meteorological cloud platform 4 adds a set of meteorological historical data, i.e., a second historical list, to each second grid; each second historical record in the second historical list is the meteorological collection information of the current grid location at a specific point in time; whenever the traffic meteorological cloud platform 4 receives a first, second, or third information set from the front-end meteorological information collection device 11 (and / or satellite remote sensing data collection device 12, geological disaster monitoring instrument 13), vehicle terminal 2, or mobile terminal 3, it will add a corresponding second historical record to the second historical list of the corresponding second grid according to the currently received first, second, or third information set.

[0073] The Traffic Weather Cloud Platform 4 is also used to update the local forecast traffic information network based on historical traffic information networks.

[0074] In another specific implementation of this invention, the traffic meteorological cloud platform 4 is specifically used to, when updating the local predictive traffic information network based on the historical traffic information network, have the road network meteorological server 44 predict the road network traffic conditions within a first future specified time period based on the historical traffic information network and update the predictive traffic information network based on the prediction results.

[0075] The first future specified time period is the next 24 hours by default, but can be set separately according to specific implementation requirements; the predicted traffic information network includes multiple third road networks; the third road network includes multiple third grids; the third grid includes third grid location information, third grid road information and a first prediction list; the first prediction list includes multiple first prediction records; the first prediction record includes a first prediction time field, a first prediction road condition field and a first prediction average vehicle speed field; the first prediction road condition field includes multiple road condition levels, each level corresponding to a congestion state.

[0076] In another specific implementation of this invention, the road network weather server 44 is specifically used to predict the road network traffic conditions within a first future specified time period based on the historical traffic information network and update the predicted traffic information network based on the prediction results. During the traversal, the currently traversed first grid is recorded as the current grid; all first road condition fields of the current grid within the most recent specified time period are extracted to form a corresponding first road condition field sequence; all first vehicle condition fields of the current grid within the most recent specified time period are extracted to form a corresponding first vehicle condition field sequence; and the linear interpolation method is used... The system supplements missing data in the first road condition field and the first vehicle condition field in the first road condition field sequence; it then predicts the road congestion situation for a specified future time period based on the first road condition field sequence, generating a corresponding first predicted road condition sequence, and predicts the average vehicle speed for the specified future time period based on the first vehicle condition field sequence, generating a corresponding first predicted average vehicle speed sequence; and finally, it updates the first prediction list of the third grid corresponding to the current grid in the prediction traffic information network based on the known predicted time point sequence for the specified future time period and the corresponding first predicted road condition sequence and first predicted average vehicle speed sequence.

[0077] Here, the first future specified time period prediction time point sequence includes multiple first prediction time points; the first prediction road condition sequence includes multiple first prediction road conditions, each first prediction road condition corresponds to a first prediction time point; the first prediction average vehicle speed sequence includes multiple first prediction average vehicle speeds, each first prediction average vehicle speed also corresponds to a first prediction time point.

[0078] Here, after obtaining the map road network corresponding to all roads, the traffic meteorological cloud platform 4 also constructs a predicted traffic information network. Each third road network in the constructed predicted traffic information network corresponds to a map road network, each third grid corresponds to a map road network, the location information of each third grid corresponds to a map grid address, and the road information of each third grid corresponds to the road identifier of the road where the map grid is located. For each third grid, the traffic meteorological cloud platform 4 also initializes a first prediction list with a fixed total number of first prediction records. Each first prediction record in the list includes a set of traffic prediction information for the current grid location at a future first prediction time point. This set of traffic prediction information includes prediction information for road congestion (i.e., the content of the first predicted road condition field) and prediction information for average vehicle speed (i.e., the content of the first predicted average vehicle speed field). The number of first prediction records in the first prediction list is consistent with the number of first prediction time points in the first future specified time period prediction time point sequence.

[0079] The Traffic Meteorological Cloud Platform 4 is also used to update the local forecast meteorological information network based on historical meteorological information networks.

[0080] In another specific implementation of this invention, the traffic meteorological cloud platform 4 is specifically used to, when updating the local forecast meteorological information network based on the historical meteorological information network, have the road network meteorological server 44 predict the road network meteorological conditions for a second future specified time period based on the historical meteorological information network and update the forecast meteorological information network based on the prediction results.

[0081] The second future specified time period defaults to the next 15 days, but can be set separately according to specific implementation requirements; the forecast meteorological information network includes multiple fourth road networks; the fourth road network includes multiple fourth grids; the fourth grid includes fourth grid location information, fourth grid road information, and a second forecast list; the second forecast list includes multiple second forecast records; the second forecast record includes a second forecast time field, a first forecast temperature field, a first forecast humidity field, a first forecast road surface temperature field, a first forecast air pressure field, a first forecast wind force and direction field, a first forecast precipitation field, a first forecast road surface condition field, and a first forecast visibility field; the first forecast road surface condition field includes slippery road surface level, waterlogged road surface level, icy road surface level, and high temperature road surface level; the first forecast visibility field includes multiple visibility levels.

[0082] In another specific implementation of this invention, the road network meteorological server 44 is specifically used to predict the road network meteorological conditions within a second future specified time period based on the historical meteorological information network and update the prediction meteorological information network based on the prediction results. During the traversal, the currently traversed second grid is recorded as the current grid. All first temperature fields, first humidity fields, first road surface temperature fields, first air pressure fields, first wind force and direction fields, and first precipitation fields of the current grid within the most recent specified time period are extracted to form a corresponding first temperature field sequence. The system comprises a first humidity field sequence, a first road surface temperature field sequence, a first air pressure field sequence, a first wind force and direction field sequence, and a first precipitation field sequence; and uses the linear interpolation method to supplement missing fields in the first temperature field sequence, the first humidity field sequence, the first road surface temperature field sequence, the first air pressure field sequence, the first wind force and direction field sequence, and the first precipitation field sequence; and uses the first temperature field sequence, the first humidity field sequence, the first road surface temperature field sequence, the first air pressure field sequence, the first wind force and direction field sequence, and the first precipitation field sequence to calculate the air temperature and air quality data for a second future specified time period. The system generates corresponding first predicted temperature, humidity, road surface temperature, air pressure, wind force and direction, and precipitation sequences based on air humidity, road surface temperature, air pressure, wind force and direction, and precipitation. Then, based on the known predicted time point sequences for a second future specified period and the corresponding first predicted temperature, humidity, road surface temperature, air pressure, wind force and direction, and precipitation sequences, it performs predictions on each second predicted record in the second prediction list of the fourth grid corresponding to the current grid in the meteorological information network. The records are updated; after the update is completed, the road condition classification level is predicted based on the latest first predicted temperature field, first predicted humidity field, first predicted road surface temperature field, first predicted air pressure field, and first predicted precipitation field in each second prediction record, and the first predicted road surface condition field of the second prediction record is updated based on the road condition prediction results; then the visibility level is predicted based on the latest first predicted air pressure field, first predicted wind force and direction field, and first predicted precipitation field in each second prediction record, and the first predicted visibility field of the second prediction record is updated based on the visibility level prediction results.

[0083] Here, the second future specified period prediction time point sequence includes multiple second prediction time points; the first prediction temperature sequence includes multiple first prediction temperatures, the first prediction humidity sequence includes multiple first prediction humidity, the first prediction road surface temperature sequence includes multiple first prediction road surface temperatures, the first prediction air pressure sequence includes multiple first prediction air pressures, the first prediction wind force and direction sequence includes multiple first prediction wind forces and directions, and the first prediction precipitation sequence includes multiple first prediction precipitation amounts; each of the first prediction temperature, first prediction humidity, first prediction road surface temperature, first prediction air pressure, first prediction wind force and direction, and first prediction precipitation amount corresponds to a second prediction time point.

[0084] Here, after obtaining the map road network corresponding to all roads, the traffic meteorological cloud platform 4 also constructs a predicted meteorological information network. Each fourth road network in the constructed predicted meteorological information network corresponds to a map road network, each fourth grid corresponds to a map road network, the location information of each fourth grid corresponds to a map grid address, and the road information of each fourth grid corresponds to the road identifier of the road where the map grid is located. For each fourth grid, the traffic meteorological cloud platform 4 also initializes a second prediction list with a fixed total number of second prediction records. Each second prediction record in the list includes a set of meteorological prediction information, a road condition prediction information, and a visibility prediction information for the current grid location at a future second prediction time point. The meteorological prediction information includes air temperature, air humidity, road surface temperature, air pressure, wind force and direction, and precipitation. The road condition prediction information includes four road surface types and their corresponding levels (slippery road surface level, waterlogged road surface level, icy road surface level, and high-temperature road surface level). The visibility prediction information includes multiple visibility levels. The number of second prediction records in the second prediction list is consistent with the number of second prediction time points in the second future specified time period prediction time point sequence.

[0085] The Traffic Meteorological Cloud Platform 4 is also used for real-time and forecast traffic meteorological information query processing based on the first query location received.

[0086] In another specific implementation of this invention, the traffic meteorological cloud platform 4 is specifically used to, when performing real-time and predictive traffic meteorological information query processing based on the received first query location, have the mobile communication device 43 receive the first query location sent by the mobile terminal 3 and forward the first query location to the road network meteorological server 44; and have the road network meteorological server 44 perform comprehensive traffic meteorological information query processing on the historical traffic information network, historical meteorological information network, predictive traffic information network, and predictive meteorological network based on the first query location to generate a corresponding first traffic meteorological information set and forward it to the mobile communication device 43; and have the mobile communication device 43 send the first traffic meteorological information set back to the mobile terminal 3 through the mobile communication network.

[0087] In another specific implementation of this invention, the road network meteorological server 44 is specifically used to, when performing comprehensive traffic and meteorological information query processing on the historical traffic information network, historical meteorological information network, predicted traffic information network, and predicted meteorological information network based on the first query location, record the first grid in the historical traffic information network with the smallest distance between the first grid location information and the first query location as the first matching grid, and extract one or more first historical records corresponding to the latest first time field in the first matching grid to form a corresponding first real-time traffic record set; and record the second grid in the historical meteorological information network with the smallest distance between the second grid location information and the first query location as the second matching grid, and extract one or more second historical records corresponding to the latest second time field in the second matching grid to form a corresponding first real-time meteorological record set; and record the predicted traffic information... In the information network, the third grid whose location information is closest to the first query location is designated as the third matching grid. The first prediction list of the third matching grid is designated as the first matching list. All first prediction records in the first matching list whose first prediction time field is later than the current time are extracted to form the corresponding first prediction traffic record set. Similarly, in the meteorological information network, the fourth grid whose location information is closest to the first query location is designated as the fourth matching grid. The second prediction list of the fourth matching grid is designated as the second matching list. All second prediction records in the second matching list whose second prediction time field is later than the current time are extracted to form the corresponding first prediction meteorological record set. The first real-time traffic record set, the first real-time meteorological record set, the first prediction traffic record set, and the first prediction meteorological record set are combined to form the corresponding first traffic meteorological information set.

[0088] Here, as mentioned above, after the traffic meteorological cloud platform 4 sends the first traffic meteorological information set back to the mobile terminal 3, the mobile terminal 3 will display the traffic + meteorological information in the first traffic meteorological information set through its built-in display screen.

[0089] In another specific implementation of this invention, the mobile terminal 3 is specifically used to, when displaying traffic + meteorological information in the first traffic meteorological information set through its built-in display screen, perform traffic information fusion on each first historical record of the first real-time traffic record set to generate corresponding first fused traffic information, and display the first fused traffic information; perform meteorological information fusion on each second historical record of the first real-time meteorological record set to generate corresponding first fused meteorological information, and display the first fused meteorological information; construct a corresponding visualized traffic prediction time tree based on a known first future specified time period prediction time point sequence, the visualized traffic prediction time tree including multiple first leaf nodes, each first leaf node corresponding to a first prediction time point; display the content of each first leaf node based on the first predicted traffic record set; construct a corresponding visualized meteorological prediction time tree based on a known second future specified time period prediction time point sequence, the visualized meteorological prediction time tree including multiple second leaf nodes, each second leaf node corresponding to a second prediction time point; and display the content of each second leaf node based on the first predicted meteorological record set.

[0090] In another specific implementation of this invention, the mobile terminal 3 is specifically used to, when displaying content for each first leaf node according to the first predicted traffic record set, extract the first predicted record whose first predicted time field matches the first predicted time point corresponding to the current first leaf node from the first predicted traffic record set as the current predicted traffic record; extract the first predicted time field, the first predicted road condition field, and the first predicted average vehicle speed field of the current predicted traffic record as the corresponding current time information, current road condition information, and current average vehicle speed information; substitute the first query location, current time information, current road condition information, and current average vehicle speed information into a preset traffic text template to perform text splicing to generate the corresponding first display content; and display the first display content.

[0091] Here, the traffic text template can be customized in various ways, such as "Location: p1, Time: x1, Predicted Road Conditions: y1, Road Speed: z1", where p1, x1, y1, and z1 are all variables. When concatenating the text, substitute the first query location as p1, the current time information as x1, the current road condition information as y1, and the current average speed information as z1 into the above traffic text template and replace the variables p1, x1, y1, and z1 to obtain the first display content.

[0092] In another specific implementation of this invention, the mobile terminal 3 is specifically used to, when displaying content for each second leaf node according to the first predicted meteorological record set, extract the second predicted record whose second predicted time field matches the second predicted time point corresponding to the current second leaf node from the first predicted meteorological record set as the current predicted meteorological record; extract the second predicted time field of the current predicted meteorological record as the corresponding current time information; extract the first predicted temperature field, first predicted humidity field, first predicted road surface temperature field, first predicted air pressure field, first predicted wind force and direction field, and first predicted precipitation field of the current predicted meteorological record to form the corresponding current meteorological information group; extract the first predicted road surface condition field of the current predicted meteorological record as the corresponding current road surface condition information; extract the first predicted visibility field of the current predicted meteorological record as the corresponding current visibility information; substitute the first query location, current time information, current meteorological information group, current road surface condition information, and current visibility information into a preset meteorological text template to perform text splicing to generate the corresponding second display content; and display the second display content.

[0093] Here, the meteorological text template can be customized in various ways; for example, "Location: p2, Time: x2, Forecasted Meteorological Parameters: y2, Forecasted Road Conditions: z2, Forecasted Visibility: w1", where p2, x2, y2, z2, and w1 are all variables. When concatenating the text, substitute the first query location as p2, the current time information as x2, the current meteorological information group as y2, the current road condition information as z2, and the current visibility information as w1 into the above traffic text template and replace the variables p2, x2, y2, z2, and w1 to obtain the second display content; another example is "Location: p3, Time: x3, Forecasted Road Conditions For example, in the text "location: p4, time: x4, predicted visibility: w2", where p3, x3, and z3 are variables, when performing text concatenation, the first query location is used as p3, the current time information as x3, and the current road condition information as z3. These variables are then substituted into the traffic text template to replace p3, x3, and z3 to obtain the second display content. Similarly, in the text "location: p4, time: x4, predicted visibility: w2", where p4, x4, and w2 are variables, when performing text concatenation, the first query location is used as p4, the current time information as x4, and the current visibility information as w2. These variables are then substituted into the traffic text template to replace p4, x4, and w2 to obtain the second display content.

[0094] Furthermore, the units, devices, and servers mentioned in the embodiments of this invention can be specific apparatuses, devices, and servers, or they can be software or software modules, hardware or hardware modules, integrated software and hardware modules, integrated devices, integrated equipment, and integrated servers that implement their corresponding functions. They can also be microservice interfaces, cloud service interfaces, or cloud server ports that implement their corresponding functions. The specific settings are determined based on the specific engineering implementation requirements and are not specifically limited here.

[0095] This invention provides a multi-network integrated traffic and meteorological information system, comprising: meteorological information acquisition equipment, vehicle-mounted terminals, mobile terminals, and a traffic and meteorological cloud platform. Through this system, not only is the traffic attribute of the collected information increased and the coverage of meteorological information improved based on multi-network integrated information (traffic and meteorological information provided by the vehicle-mounted terminal through the vehicle-to-everything (V2X) communication network, and environmental information provided by the mobile terminal through the mobile communication network), but the system also improves users' travel quality and efficiency by providing them with a comprehensive traffic and meteorological information query method.

[0096] Those skilled in the art will further recognize that the steps of the systems, modules, units, and algorithms described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0097] The steps of the systems, modules, units, or algorithms described in conjunction with the embodiments disclosed herein can be implemented in hardware, software modules executed by a processor, or a combination of both. The software modules can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art.

[0098] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A multi-network integrated traffic meteorological information system, characterized in that, The system includes: meteorological information acquisition equipment, vehicle-mounted terminals, mobile terminals, and a traffic meteorological cloud platform; The meteorological information collection device is connected to the traffic meteorological cloud platform via the Beidou communication network; the meteorological information collection device is deployed along each road; the meteorological information collection device is used to collect the current first time information, first location information, first road information and first meteorological information to generate a corresponding first information set; and send the first information set to the traffic meteorological cloud platform; The vehicle-mounted terminal is connected to the traffic meteorological cloud platform via a vehicle network communication network; the vehicle-mounted terminal is used to collect the current second time information, second location information, first environmental image information, first vehicle condition information, first road condition information and first environmental temperature and humidity information to generate a corresponding second information set; and send the second information set to the traffic meteorological cloud platform. The mobile terminal is connected to the traffic meteorological cloud platform via a mobile communication network; the mobile terminal is used to collect the current third time information, third location information, and second environmental image information to generate a corresponding third information set, and send the third information set to the traffic meteorological cloud platform; the mobile terminal is also used to obtain a first query location, send the first query location to the traffic meteorological cloud platform, receive the first traffic meteorological information set sent back by the traffic meteorological cloud platform, and display the first traffic meteorological information set; The traffic meteorological cloud platform is used to update the local historical traffic information network and historical meteorological information network based on the received first, second, or third information sets; the traffic meteorological cloud platform is also used to update the local predicted traffic information network based on the historical traffic information network; the traffic meteorological cloud platform is also used to update the local predicted meteorological information network based on the historical meteorological information network; the traffic meteorological cloud platform is also used to perform real-time and predicted traffic meteorological information query processing based on the received first query location.

2. The multi-network integrated traffic meteorological information system according to claim 1, characterized in that, The meteorological information acquisition device is specifically used to obtain the device time information at the current moment as the corresponding first time information when the first time information, first location information, first road information and first meteorological information are collected to generate the corresponding first information set; And obtain the device location information at the current moment as the corresponding first location information; And obtain the locally preset installed road signs, road segment signs and road segment node signs to form the corresponding first road information; The air temperature, air humidity, road surface temperature, atmospheric pressure, wind force and direction, and precipitation observed at the current moment are used as the corresponding first air temperature information, first air humidity information, first road surface temperature information, first air pressure information, first wind force and direction information, and first precipitation information to form the corresponding first meteorological information; and the first information set is formed by the obtained first time information, first location information, first road information, and first meteorological information.

3. The multi-network integrated traffic meteorological information system according to claim 1, characterized in that, The vehicle-mounted terminal includes a first image acquisition unit, a vehicle road condition information acquisition unit, a temperature and humidity detection unit, and a vehicle central control unit; the vehicle central control unit is connected to the first image acquisition unit, the vehicle road condition information acquisition unit, and the temperature and humidity detection unit respectively. Specifically, when the vehicle-mounted terminal collects the current second time information, second location information, first environmental image information, first vehicle condition information, first road condition information, and first environmental temperature and humidity information to generate a corresponding second information set, the vehicle-mounted central control unit obtains the terminal time information and terminal positioning information at the current moment as the corresponding second time information and second location information; and obtains the environmental image captured by the first image acquisition unit at the current moment as the corresponding first environmental image information; and obtains the real-time vehicle condition information and real-time road condition information analyzed by the vehicle road condition information acquisition unit at the current moment as the corresponding first vehicle condition information and first road condition information. The real-time external temperature and humidity detection results output by the temperature and humidity detection unit at the current moment are obtained as the corresponding first ambient temperature and humidity information. The second information set is composed of the second time information, the second location information, the first environmental image information, the first vehicle condition information, the first road condition information, and the first environmental temperature and humidity information.

4. The multi-network integrated traffic meteorological information system according to claim 1, characterized in that, The mobile terminal includes a second image acquisition unit and a mobile central control unit; the second image acquisition unit is connected to the mobile central control unit. Specifically, when the mobile terminal collects the current third time information, third location information, and second environmental image information to generate a corresponding third information set, the mobile central control unit obtains the terminal time information and terminal positioning information at the current moment as the corresponding third time information and third location information; and obtains the environmental image captured by the second image acquisition unit at the current moment as the corresponding second environmental image information; and the third time information, third location information, and second environmental image information constitute the corresponding third information set.

5. The multi-network integrated traffic meteorological information system according to claim 1, characterized in that, The traffic meteorological cloud platform includes BeiDou communication equipment, vehicle-to-everything (V2X) communication equipment, mobile communication equipment, and a road network meteorological server. The BeiDou communication equipment is connected to the road network meteorological server and to the meteorological information collection equipment through the BeiDou communication network. The V2X communication equipment is connected to the road network meteorological server and to the vehicle-mounted terminal through the V2X communication network. The mobile communication equipment is connected to the road network meteorological server and to the mobile terminal through the mobile communication network.

6. The multi-network integrated traffic meteorological information system according to claim 5, characterized in that, The traffic meteorological cloud platform is specifically used to receive the first information set sent by the meteorological information collection device and forward the first information set to the road network meteorological server when updating the local historical traffic information network and historical meteorological information network according to the received first, second or third information set; The vehicle network communication device receives the second information set sent by the vehicle terminal and forwards the second information set to the road network meteorological server; The mobile communication device receives the third information set sent by the mobile terminal and forwards the third information set to the road network meteorological server. The road network meteorological server updates the historical traffic information network based on the second or third information set; and the road network meteorological server updates the historical meteorological information network based on the first, second, or third information set. The traffic meteorological cloud platform is specifically used to, when updating the local predictive traffic information network based on the historical traffic information network, have the road network meteorological server predict the road network traffic conditions within a first future specified time period based on the historical traffic information network and update the predictive traffic information network based on the prediction results. The traffic meteorological cloud platform is specifically used to, when updating the local forecast meteorological information network based on the historical meteorological information network, have the road network meteorological server predict the road network meteorological conditions for a second future specified time period based on the historical meteorological information network and update the forecast meteorological information network based on the prediction results.

7. The multi-network integrated traffic meteorological information system according to claim 6, characterized in that, The historical traffic information network includes multiple first road networks; each first road network includes multiple first grids; each first grid includes first grid location information, first grid road information, and a first historical list; each first historical list includes multiple first historical records; each first historical record includes a first time field, a first environmental image field, a first road condition field, and a first vehicle condition field. The historical meteorological information network includes multiple second road networks; the second road network includes multiple second grids; the second grid includes second grid location information, second grid road information, and a second historical list; the second historical list includes multiple second historical records; the second historical records include a second time field, a second environmental image field, a first temperature field, a first humidity field, a first road surface temperature field, a first air pressure field, a first wind force and wind direction field, and a first precipitation field; The predicted traffic information network includes multiple third road networks; the third road network includes multiple third grids; the third grid includes third grid location information, third grid road information, and a first prediction list; the first prediction list includes multiple first prediction records; the first prediction record includes a first prediction time field, a first prediction road condition field, and a first prediction average vehicle speed field. The predicted meteorological information network includes multiple fourth road networks; each fourth road network includes multiple fourth grids; each fourth grid includes fourth grid location information, fourth grid road information, and a second prediction list; the second prediction list includes multiple second prediction records; each second prediction record includes a second prediction time field, a first prediction temperature field, a first prediction humidity field, a first prediction road surface temperature field, a first prediction air pressure field, a first prediction wind force and direction field, a first prediction precipitation field, a first prediction road surface condition field, and a first prediction visibility field; the first prediction road surface condition field includes slippery road surface level, waterlogged road surface level, icy road surface level, and high temperature road surface level; the first prediction visibility field includes multiple visibility levels.

8. The multi-network integrated traffic meteorological information system according to claim 7, characterized in that, The traffic meteorological cloud platform is specifically used to receive the first query location sent by the mobile terminal and forward the first query location to the road network meteorological server when the real-time and predicted traffic meteorological information query processing is performed based on the received first query location. The road network meteorological server performs comprehensive traffic and meteorological information query processing on the historical traffic information network, the historical meteorological information network, the predicted traffic information network, and the predicted meteorological network based on the first query location to generate the corresponding first traffic and meteorological information set, which is then forwarded to the mobile communication device; and the mobile communication device sends the first traffic and meteorological information set back to the mobile terminal through the mobile communication network.

9. The multi-network integrated traffic meteorological information system according to claim 8, characterized in that, The road network meteorological server is specifically used to, when performing comprehensive traffic and meteorological information query processing on the historical traffic information network, the historical meteorological information network, the predicted traffic information network and the predicted meteorological network based on the first query location, record the first grid in the historical traffic information network with the smallest distance between the first grid location information and the first query location as the first matching grid, and extract one or more of the first historical records corresponding to the first time field with the latest time in the first matching grid to form a corresponding first real-time traffic record set; The second grid in the historical meteorological information network with the smallest distance between the second grid location information and the first query location is recorded as the second matching grid. One or more second historical records corresponding to the second time field with the latest time in the second matching grid are extracted to form a corresponding first real-time meteorological record set. The third grid in the predicted traffic information network with the smallest distance between the third grid location information and the first query location is recorded as the third matching grid. The first prediction list of the third matching grid is recorded as the first matching list. All first prediction records in the first matching list with the first prediction time field later than the current time are extracted to form a corresponding first predicted traffic record set. The fourth grid in the predicted meteorological information network with the smallest distance between its location information and the first query location is designated as the fourth matching grid. The second prediction list of the fourth matching grid is designated as the second matching list. All second prediction records in the second matching list whose second prediction time field is later than the current time are extracted to form the corresponding first predicted meteorological record set. The first real-time traffic record set, the first real-time meteorological record set, the first predicted traffic record set, and the first predicted meteorological record set are combined to form the corresponding first traffic meteorological information set.

10. The multi-network integrated traffic meteorological information system according to claim 1, characterized in that, The mobile communication network includes 4G / 5G / LTE communication networks; The vehicle-to-everything (V2X) communication network includes a 4G / 5G / LTE communication network and a V2X communication network based on the 4G / 5G / LTE communication network.

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