A dynamic height and width limiting early warning system and method based on navigation information and vehicle

Abstract

The application discloses a dynamic height-limiting and width-limiting early warning system and method based on navigation information and a vehicle, and belongs to the field of vehicle collision early warning. When the vehicle is started, an information collection tool tbox collects vehicle parameters in real time and reports the parameters to a block through a communication module; a navigation module initiates navigation and synchronizes navigation information to a server end; a big data cloud end monitoring service module is used to determine whether the current vehicle can pass each height-limiting and width-limiting point on a navigation route based on vehicle parameters and navigation information, so as to determine whether the vehicle has a collision risk; a calculation module is used to calculate a collision probability of the vehicle with the collision risk at the collision risk point; and a collision early warning module is used to trigger an early warning message to the navigation module for the vehicle with the collision risk, and the collision probability is synchronized to the navigation module. The above scheme can avoid vehicle collision with height-limiting and width-limiting facilities, protect the safety of the vehicle, and has high efficiency and low cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automobile collision warning, in particular to a dynamic height and width limiting warning system and method based on navigation information and a vehicle. BACKGROUND

[0002] With the development of the number of cars, new requirements are put forward for the height and width limiting facilities of cars. At present, many height and width limiting facilities are set randomly and unreasonably, and it is also difficult for drivers to judge whether the vehicle can pass through, so various accidents of colliding with height and width limiting facilities often occur, resulting in unnecessary tragedies.

[0003] The current solutions include strengthening warning devices and setting manual inspection posts. In addition, there are also public patents providing solutions, for example:

[0004] 1. Big data monitoring vehicle + dynamic adjustment of height limiting rod CN110867074A; 2. Height limiting device + laser radar and other identification devices CN116259193A; 3. Height limiting database + vehicle positioning information + alarm CN110364025A and other methods to realize automatic height and width limiting alarm, but these methods have the following disadvantages:

[0005] Dependence on hardware facilities, high cost, difficulty in implementation, and lack of timely data updating. SUMMARY

[0006] Therefore, it is necessary to provide a dynamic height and width limiting warning system and method based on navigation information and a vehicle to solve the above technical problems, which does not depend on hardware facilities and can realize real-time acquisition of height and width limiting points during vehicle driving to prevent collision accidents.

[0007] In a first aspect, the present application provides a dynamic height and width limiting warning system based on navigation information, comprising: an information collection tool tbox connected with a server end, a navigation module, and a collision warning module; and a big data cloud monitoring service module, a calculation module, and a communication module arranged at the server end;

[0008] When the vehicle is started, the information collection tool tbox collects vehicle parameters in real time and reports them to the big data cloud monitoring service module through the communication module;

[0009] The navigation module is configured to initiate navigation and synchronize navigation information to the server end;

[0010] The big data cloud monitoring service module is configured to determine whether the current vehicle can pass through each height and width limiting point on the navigation route based on the vehicle parameters and navigation information, so as to determine whether the vehicle has a collision risk;

[0011] A calculation module is configured to calculate a collision probability of the vehicle with the collision risk point;

[0012] A collision warning module is configured to trigger a warning message to the navigation module for the vehicle with the collision risk, and synchronize the collision probability of the vehicle with the collision risk point to the navigation module.

[0013] Optionally, the system further comprises a database and a query module;

[0014] The database is configured to store the height and width limit point information and the vehicle parameters.

[0015] The query module is configured to read the navigation information uploaded by the navigation module, and query all the height and width limit point information of the navigation route included in the navigation information, including the longitude of the height and width limit point and the latitude of the height and width limit point.

[0016] Optionally, the database comprises a height and width limit database and a vehicle information database.

[0017] The height and width limit database is configured to store the height and width limit point information in the navigation route.

[0018] The vehicle information database is configured to record the vehicle parameters and store the vehicle parameters according to the vehicle type; the vehicle parameters include a vehicle unique identifier, a vehicle length, a vehicle width, and a vehicle height.

[0019] Optionally, the big data cloud monitoring service module comprises a data monitoring unit, a comparison unit, and a determination unit.

[0020] The data monitoring unit comprises a monitoring subunit, a relay, a wireless communication unit, and a MEMS sensor.

[0021] The monitoring subunit is connected to the MEMS sensor at the input end and connected to the relay at the output end.

[0022] The MEMS sensor is configured to collect the facility length, width, and height parameter information of each height and width limit point on the navigation route in real time in combination with the navigation information.

[0023] The monitoring subunit sends a trigger signal generated according to the feedback signal of the MEMS sensor to the relay; the relay is connected to the wireless communication unit, and the trigger signal is forwarded to the comparison unit via the wireless communication unit.

[0024] The comparison unit is configured to compare the vehicle length-width-height parameter corresponding to the unique vehicle identifier in the vehicle parameter with the historical vehicle passing upper limit value, and if the vehicle parameter does not exceed the historical vehicle passing upper limit value, it is determined that the current vehicle is in a normal operating state; if the vehicle parameter exceeds the historical vehicle passing upper limit value, it is determined whether the current vehicle can pass each height-width-limit point on the navigation route according to the trigger signal generated by the monitoring subunit.

[0025] The determination unit is configured to determine that the vehicle is at risk of collision when the vehicle cannot pass any height-width-limit point on the navigation route, and determine the height-width-limit point at risk of collision.

[0026] Optionally, the comparison unit comprises a comparison subunit configured to compare the vehicle length-width-height parameter with the facility length-width-height parameter information of each height-width-limit point on the navigation route, and if the vehicle length-width-height parameter is greater than any length-width-height parameter of the height-width-limit point, it is determined that the current vehicle cannot pass the height-width-limit point on the navigation route.

[0027] Optionally, the calculation module comprises:

[0028] The establishment unit is configured to establish a set of height-width-limit points at risk of collision {pos: P(pos)}; wherein pos is a height-width-limit point on the navigation route;

[0029] The determination unit is configured to take the height-width-limit point in the set as a collision risk point, and calculate the collision probability of the vehicle driving at the collision risk point.

[0030] Optionally, the determination unit comprises:

[0031] The probability calculation subunit is configured to calculate the collision probability of the vehicle driving at the collision risk point by the following formula: q = f(x, k);

[0032] wherein, k represents the value of n collision risk points (k1, k2…k n ), and i represents the i-th collision risk point.

[0033] Optionally, the collision warning module comprises a synchronization unit, an alarm unit, and a wireless communication unit; the signal output end of the alarm unit is further connected with a buzzer and an LED indicator light;

[0034] The alarm unit is connected with the big data cloud monitoring service module and the navigation module through the wireless communication unit, and is configured to trigger a height-width-limit warning to the navigation module in a set alarm mode when the vehicle is at risk of collision.

[0035] The synchronization unit is connected with the computing module and the navigation module through the wireless communication unit, and is configured to synchronize the collision probability of the vehicle driving at the collision risk point to the navigation module.

[0036] In a second aspect, the application provides a dynamic height and width limit warning method based on navigation information, comprising:

[0037] When the vehicle is started, the vehicle parameters are collected in real time;

[0038] Based on the vehicle parameters and the navigation information, it is determined whether the current vehicle can pass through each height and width limit point on the navigation route, so as to determine whether the vehicle has a collision risk;

[0039] The collision probability of the vehicle driving at the collision risk point is calculated.

[0040] For the vehicle with a collision risk, a warning message is triggered to the navigation module, and the collision probability of the vehicle driving at the collision risk point is synchronized.

[0041] In a third aspect, the application provides a vehicle comprising a vehicle body and a dynamic height and width limit warning system based on navigation information as described in any one of the first aspect.

[0042] The above-mentioned dynamic height and width limit warning system, method and vehicle based on navigation information do not depend on hardware facilities, and as a height and width limit warning scheme mainly based on a software system (big data cloud server + software), can realize real-time acquisition of height and width limit points during vehicle driving, and prevent collision accidents.

[0043] The application combines existing vehicle networking and navigation equipment, and determines in real time whether the vehicle can pass through the height and width limit facility. The navigation equipment directly issues an alarm in the vehicle, thereby avoiding vehicle collision with the height and width limit facility, protecting the safety of the vehicle, and being efficient and low in cost. The application has wide applicability. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the specific embodiments of the application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or the prior art description. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0045] Figure 1 The structure diagram of the dynamic height and width limit warning system based on navigation information in the embodiments of the application;

[0046] Figure 2 The flowchart of the dynamic height and width limit warning method based on navigation information in the embodiments of the application;

[0047] Figure 3 This is a diagram of the internal structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] This application provides a dynamic height and width restriction warning system, method, and vehicle based on navigation information, primarily applied in in-vehicle infotainment systems. The method can be applied to a terminal, a server, or a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc.

[0050] This implementation plan designs a dynamic height and width restriction early warning system based on navigation information, such as... Figure 1 As shown, the system relies on several modules. The first is the vehicle's own information collection tool, the Tbox, which can be used by any vehicle with vehicle-to-everything (V2X) capabilities. The second is a navigation module, including in-vehicle navigation and mobile app navigation, as well as a collision warning module, which can be an in-vehicle alarm device. The third is a software and server-side big data cloud monitoring service module, a computing module, communication software, and a database for storing data, etc., specifically implemented as follows:

[0051] In one embodiment, the present invention provides an in-vehicle reading light control system, which will be described below with reference to the accompanying drawings. (Reference) Figure 1 The system specifically includes: an information collection tool (tbox) connected to the server, a navigation module, and a collision warning module; as well as a big data cloud monitoring service module, a computing module, and a communication module set on the server; it also includes: a database and a query module;

[0052] When the vehicle starts, the information collection tool tbox collects vehicle parameters in real time and reports them to the big data cloud monitoring service module through the communication module;

[0053] The database is used to store information on height and width restriction locations and vehicle parameters;

[0054] The query module is used to read navigation information uploaded by the navigation module and query all height and width restriction points along the navigation route, including the longitude (pos) of the height and width restriction points. x Latitude of height and width limit points (pos) y ;

[0055] a navigation module configured to initiate navigation and synchronize navigation information to a server end;

[0056] a big data cloud monitoring service module configured to determine whether a current vehicle can pass through each height-limited and width-limited point on a navigation route based on vehicle parameters and navigation and information, so as to determine whether the vehicle has a collision risk;

[0057] a calculation module configured to calculate a collision probability of the vehicle with the collision risk point;

[0058] a collision warning module configured to trigger a warning message to the navigation module for the vehicle with the collision risk, and synchronize the collision probability of the vehicle with the collision risk point to the navigation module.

[0059] In the above embodiment, the database comprises a height-limited and width-limited database and a vehicle information database;

[0060] The height-limited and width-limited database is configured to store height-limited and width-limited point information in a navigation route;

[0061] The vehicle information database is configured to record vehicle parameters and store the vehicle parameters according to vehicle types; the vehicle parameters comprise a vehicle unique identifier Vin, a vehicle length L, a vehicle width m, and a vehicle height n.

[0062] In the above embodiment, the big data cloud monitoring service module comprises a data monitoring unit, a comparison unit, and a determination unit;

[0063] The data monitoring unit comprises a monitoring subunit, a relay, a wireless communication unit, and a MEMS sensor;

[0064] The monitoring subunit is connected to the MEMS sensor at an input end and connected to the relay at an output end;

[0065] The MEMS sensor is configured to collect facility length-width-height parameter information of each height-limited and width-limited point on a navigation route in real time in combination with navigation information;

[0066] The monitoring subunit sends a trigger signal generated according to a feedback signal of the MEMS sensor to the relay; the relay is connected to the wireless communication unit, and the trigger signal is forwarded to the comparison unit via the wireless communication unit;

[0067] The comparison unit is configured to compare the vehicle length-width-height parameter corresponding to the unique vehicle identifier in the vehicle parameter with the historical vehicle passing upper limit value, and if the vehicle parameter does not exceed the historical vehicle passing upper limit value, it is determined that the current vehicle is in a normal operating state; if the vehicle parameter exceeds the historical vehicle passing upper limit value, it is determined whether the current vehicle can pass each height-width-limit point on the navigation route according to the trigger signal generated by the monitoring subunit.

[0068] The determination unit is configured to determine that the vehicle is at risk of collision when the vehicle cannot pass any height-width-limit point on the navigation route, and determine the height-width-limit point at risk of collision.

[0069] In the above embodiment, the comparison unit includes a comparison subunit configured to compare the vehicle length-width-height parameter with the facility length-width-height parameter information of each height-width-limit point on the navigation route, and if the vehicle length-width-height parameter is greater than any length-width-height parameter of the height-width-limit point, it is determined that the current vehicle cannot pass the height-width-limit point on the navigation route.

[0070] In the above embodiment, the calculation module includes an establishment unit configured to establish a height-width-limit point set {pos: P(pos)} at risk of collision, wherein pos is a height-width-limit point on the navigation route.

[0071] The determination unit is configured to determine the height-width-limit point in the set as a collision risk point, and calculate the collision probability of the vehicle driving at the collision risk point.

[0072] In the above embodiment, the determination unit includes:

[0073] The probability calculation subunit is configured to calculate the collision probability of the vehicle driving at the collision risk point by the following formula: q = f(x, k).

[0074] wherein, k represents the mean value of k values (k1, k2, …, kn) of n collision risk points, and i represents the i-th collision risk point. n

[0075] The collision warning module includes a synchronization unit, an alarm unit and a wireless communication unit; the signal output end of the alarm unit is further connected with a buzzer and an LED indicator;

[0076] The alarm unit is connected with the big data cloud monitoring service module and the navigation module through the wireless communication unit, and is configured to trigger a height-width-limit warning to the navigation module in a set alarm mode when the vehicle is at risk of collision.

[0077] The synchronization unit is connected with the calculation module and the navigation module through the wireless communication unit, and is configured to synchronize the collision probability of the vehicle driving at the collision risk point to the navigation module. ​

[0078] If there is a height and width limit point with collision risk, a height and width limit warning is sent to the vehicle;

[0079] Based on the navigation information, the collision risk point is calculated, and the height and width limit warning is triggered according to the calculation result;

[0080] The warning information of any collision risk point is determined, and the unique identification of the vehicle in the warning information is sent to the navigation module of the vehicle.

[0081] In one embodiment, for the overall implementation process of the above system, the present application is further illustrated by the following embodiments:

[0082] vin=f1(pos x ,pos y ,l,m,n......)

[0083] pos=f2(pos x ,pos y ,h,w)

[0084] {pos:P(pos)}=F1(vin,pos)

[0085] {pos:Q(pos)}=F1(α,pos)

[0086] In the above expressions, vin represents the unique identification of the vehicle, pos represents the position of the height and width limit, {pos:P(pos)} is the set of vehicle information and height and width limit point information that cannot pass through a certain height and width limit, and {pos:Q(pos)} is the set of height and width limit information at a certain position changes with the latest α time, for example, the height and width limit information in the last 2 hours is high 5m wide 3m, and the height and width limit information in the last 1 hour is high 3m wide 3m.

[0087] Taking a navigation process of a vehicle with a length of 4.988 m, a width of 1.875 m, and a height of 1.470 m as an example, the user sets alpha as the last 1 h, and the navigation route will pass through three height-limiting points pos[a], pos[b], and pos[c], wherein pos[a] is a theoretically "constant" tunnel height-limiting point with a longitude and latitude of (116.19924, 39.91338), a calibrated width of 2 m, a calibrated height of 3 m, no record of a vehicle passing through higher than the calibrated height or wider than the calibrated width, and the widest and highest record of a vehicle passing through within 10 min being (1.975 m, 1.470 m); wherein pos[b] is an "active" height-limiting rod with a longitude and latitude of (116.19824, 39.91318), no height-limiting data, the maximum width and height parameters of a vehicle passing through historically being (2.550 m, 3.560 m), and the widest and highest record of a vehicle passing through within 10 min being (2.550 m, 3.560 m); and pos[c] is a cement pier width-limiting point of a road that has not been completely opened to traffic with a longitude and latitude of (116.18824, 39.92318), the maximum width and height parameters of a vehicle passing through historically being (1.775 m, 1.570 m), and the widest and highest record of a vehicle passing through within 10 min being (1.975 m, 1.470 m).

[0088] All vehicles report vehicle parameter information to the big data cloud monitoring service when starting.

[0089] The vehicle reports vehicle parameter information to the vehicle information database of the big data cloud monitoring service in real time through a tbox or the like when starting. The vehicle information database records the vehicle information shown in the following table.

[0090]

[0091] In the above table, vin represents the unique identification of the vehicle; l represents the length of the vehicle, in meters; m represents the width of the vehicle, in meters; and n represents the height of the vehicle, in meters.

[0092] The vehicle reports vehicle parameter information after starting, thereby generating the first data shown in the above table in the vehicle information database.

[0093] The vehicle initiates navigation, and the big data cloud monitoring service obtains the height-limiting and width-limiting points of the navigation.

[0094] In the above embodiment, when a navigation is initiated, the big data cloud monitoring service obtains all point information that will be passed through in the navigation, and queries the three height-limiting and width-limiting points pos[a], pos[b], and pos[c] that will be passed through in the navigation route from the height-limiting and width-limiting database.

[0095]

[0096] In the above table, pos is the height and width limit point of a navigation process; pos x is the longitude of the height and width limit point; pos y is the latitude of the height and width limit point.

[0097] 1. The server calculates in real time whether the vehicle can pass each height and width limit point

[0098] In the case of the above embodiment, the big data real-time monitoring service will query the height and width limit information of the pos[a] point from the height and width limit database when processing the point. The height and width limit database will record the latest height and width limit data of the vehicle and the height and width limit data at different historical times, thereby ensuring real-time dynamic updating of the height and width limit data of the vehicle.

[0099] The table structure and information of the latest height and width limit database of the vehicle are as follows.

[0100]

[0101]

[0102] Among them, a is the latest a minutes, which can be set by the user, thereby ensuring the real-time of the height and width limit data, for example, in the case, the user sets a to be within 10 minutes. For some vehicles passing through few road sections, there may be no vehicle passing through in the last minute, at which time the user can increase a; for some dynamically adjusted height and width limit road sections, such as manually controlled height and width limit rods, the user can adjust the value of a to be smaller to ensure that newer height and width limit data is obtained.

[0103] h is the highest height of the vehicle passing through within the a time range. The value will change according to the setting of a, for example, the highest vehicle height passing through in the last 10 minutes is 1.5 m, and the highest vehicle height passing through in the last 30 minutes is 2.0 m, then the user sets a = 10, h = 1.5, and the user sets a = 20, h = 2.0; the value will also change with the change of the highest height of the vehicle within the a time range, for example, a = 10, h = 1.5, if there is more than 1.5, the highest height of the vehicle passing through queried by the next vehicle is still h = 1.5, if the height of the vehicle is 1.6 which is higher than 1.5, then the highest height of the vehicle passing through queried by the next vehicle is h = 1.6.

[0104] w represents the widest width of the vehicle passing through in the alpha time range, which value varies with alpha as the logic of h. H represents the calibrated height limit, which has a certain value for tunnels, bridges, etc., and is empty for some flexible height-limiting facilities. At the same time, once a vehicle with a height exceeding the calibrated height passes through, the calibrated width will be updated with the width of the vehicle. W represents the calibrated width limit, which has a certain value for tunnels, bridges, etc., and is empty for some flexible width-limiting facilities. At the same time, once a vehicle with a width exceeding the calibrated width passes through, the calibrated width will be updated with the width of the vehicle.

[0105] 2. Calculate whether the vehicle can pass through pos[a]: the vehicle height is 1.470, the h of pos[a] is 1.470, H is 3, 1.470 = 1.470 < 3; the vehicle width is 1.875, the w of pos[a] is 1.975, W is 2, 1.875 < 1.975 < 2, both the vehicle height and width can pass through, and the real-time calculation result is that the vehicle can pass through pos[a].

[0106] Calculate whether the vehicle can pass through pos[b]: the vehicle height is 1.470, the h of pos[b] is 3.560, H is 3.560,

[0107] 1.470 < 3.560 = 3.560; the vehicle width is 1.875, the w of pos[b] is 2.550, W is 2.550, 1.875 < 2.550 = 2.550, both the vehicle height and width can pass through, and the real-time calculation result is that the vehicle can pass through pos[b];

[0108] Calculate whether the vehicle can pass through pos[c]: the vehicle height is 1.470, the h of pos[c] is 1.470, H is 1.875,

[0109] 1.470 = 1.470 < 1.875; the vehicle width is 1.875, the w of pos[c] is 1.775, W is 2.175, 1.875 > 1.775,

[0110] 1.875 < 2.175, no vehicle wider than the case vehicle passes through within 10 minutes, but there are historical records of vehicles wider than the case vehicle passing through, and the real-time calculation result is added to {pos: P(pos)} = F1(vin), {pos: P(pos)} is a set of height-limiting and width-limiting point positions with collision risks, containing the vehicle information and height-limiting and width-limiting data;

[0111] 3. The server pushes the calculation result {pos: P(pos)} to the navigation device, and the navigation device issues a warning case according to the calculation result. The navigation data of the vehicle at this time is found to have a warning risk at the pos[c] position after calculation by the big data real-time monitoring service, so that the information about vin=LFB1FV698M2L14488 in {pos: P(pos)} is pushed to the navigation device of the vehicle, and a height and width limiting warning is made for the vehicle. "There is a collision risk at the height and width limiting position at longitude 116.18824, latitude 39.92318 (xx province xx city xx district xx road xx kilometer), your vehicle width is 1.875m, height is 1.470m, the widest vehicle passing in 10min is 1.775m, the highest vehicle data is 2.550m, the latest data is less than your vehicle width and higher than your vehicle height, the widest vehicle data in history is 2.175m, the highest vehicle data is 1.875m, the historical data is greater than your vehicle width and higher than your vehicle height, there is a collision risk at the height and width limiting position, please observe and confirm before passing".

[0112] Based on the same inventive concept, the embodiments of the present application also provide a navigation information-based dynamic height and width limiting warning method for implementing the navigation information-based dynamic height and width limiting warning system described above. The implementation scheme for solving the problem provided by the method is similar to the implementation scheme described in the system above, so the specific limitations in one or more navigation information-based dynamic height and width limiting warning method embodiments provided below can be referred to the limitations of the navigation information-based dynamic height and width limiting warning system described above, which will not be repeated here. It can be understood that the description of the system above is also applicable to the description of the method.

[0113] In one embodiment, as shown in Figure 2 a navigation information-based dynamic height and width limiting warning method is provided, and the method comprises:

[0114] S101, when the vehicle starts, real-time collection of vehicle parameters is performed;

[0115] S102, based on the vehicle parameters and the navigation information, it is judged whether the current vehicle can pass each height and width limiting point position on the navigation route, so as to determine whether the vehicle has a collision risk;

[0116] S103, the collision probability of the vehicle with a collision risk driving at the collision risk point position is calculated;

[0117] S104, for the vehicle with a collision risk, a warning message is triggered to the navigation module, and the collision probability of the vehicle driving at the collision risk point position is synchronized.

[0118] It should be understood that although each step in the flowchart involved in each embodiment as described above is shown in sequence according to the direction of the arrow, these steps are not necessarily executed in sequence according to the direction of the arrow. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or multiple stages, which are not necessarily executed at the same time but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0119] Meanwhile, the present application also provides a vehicle comprising a vehicle body and the dynamic height and width limit warning system based on navigation information as claimed in any one of the first aspect.

[0120] The present application also provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the dynamic height and width limit warning method based on navigation information as described above when executing the computer program.

[0121] The present application also provides a computer readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the dynamic height and width limit warning method based on navigation information as described above.

[0122] In one embodiment, the computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the steps of the method as claimed in any one of steps S101 to S104.

[0123] In one embodiment, the electronic device can be a terminal, and its internal structure diagram can be as shown in Figure 3As shown. The electronic device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium, an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The communication interface of the electronic device is used to communicate with external terminals in a wired or wireless manner. Wireless mode can be achieved through WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement the method of any one of steps S101 to S104. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen. The input device of the electronic device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad provided on the shell of the electronic device, or an external keyboard, touchpad or mouse, etc.

[0124] Those skilled in the art can understand that, Figure 3 The skilled in the art can understand that,

[0125] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0126] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0127] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0128] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A dynamic height and width limit warning system based on navigation information, characterized in that, The system comprises: an information collection tool tbox connected with a server end, a navigation module, and a collision warning module; a big data cloud monitoring service module, a calculation module, and a communication module arranged at the server end; when the vehicle starts, the information collection tool tbox collects vehicle parameters in real time, and reports the vehicle parameters to the big data cloud monitoring service module through the communication module; the navigation module is configured to initiate navigation and synchronize navigation information to the server end; the big data cloud monitoring service module is configured to determine whether the current vehicle can pass through each height-limited and width-limited point on the navigation route based on the vehicle parameters and the navigation information, so as to determine whether the vehicle has a collision risk; the calculation module is configured to calculate a collision probability of the vehicle driving at the collision risk point; the collision warning module is configured to trigger a warning message to the navigation module for the vehicle having the collision risk; and synchronize the collision probability of the vehicle driving at the collision risk point to the navigation module; the system further comprises a database and a query module; the database is configured to store height-limited and width-limited point information and vehicle parameters; the query module is configured to read navigation information uploaded by the navigation module, and query all height-limited and width-limited point information on the navigation route included in the navigation information, including longitude of the height-limited and width-limited point and latitude of the height-limited and width-limited point; the database comprises a height-limited and width-limited database and a vehicle information database; the height-limited and width-limited database is configured to store height-limited and width-limited point information in the navigation route; the vehicle information database is configured to record vehicle parameters, and store the vehicle parameters according to vehicle types; the vehicle parameters include a vehicle unique identifier, a vehicle length, a vehicle width, and a vehicle height; the big data cloud monitoring service module comprises a data monitoring unit, a comparison unit, and a determination unit; the data monitoring unit comprises a monitoring subunit, a relay, a wireless communication unit, and a MEMS sensor; the monitoring subunit is connected with the MEMS sensor at an input end and connected with the relay at an output end; the MEMS sensor is configured to collect facility length-width-height parameter information of each height-limited and width-limited point on the navigation route in real time in combination with navigation information; the monitoring subunit sends a trigger signal generated according to a feedback signal of the MEMS sensor to the relay; the relay is connected with the wireless communication unit, and forwards the trigger signal to the comparison unit via the wireless communication unit; the comparison unit is configured to compare vehicle length-width-height parameters corresponding to the vehicle unique identifier in the vehicle parameters with historical vehicle passing upper limit values, and if the vehicle parameters do not exceed the historical vehicle passing upper limit values, it is determined that the current vehicle is in a normal operating state; if the vehicle parameters exceed the historical vehicle passing upper limit values, it is determined whether the current vehicle can pass through each height-limited and width-limited point on the navigation route according to the trigger signal generated by the monitoring subunit; the determination unit is configured to determine a height-limited and width-limited point having a collision risk when the vehicle cannot pass through any height-limited and width-limited point on the navigation route. ​ The height-limiting and width-limiting database records the latest height-limiting and width-limiting data of the vehicle and the height-limiting and width-limiting data at different historical times, so as to ensure that the height-limiting and width-limiting data of the vehicle is updated in real time.

2. The system of claim 1, wherein, The comparison unit comprises a comparison subunit configured to compare the length, width and height parameters of the vehicle with the length, width and height parameter information of the facilities of each height-limiting and width-limiting point on the navigation route, and determine that the current vehicle cannot pass through the height-limiting and width-limiting point on the navigation route if the length, width and height parameters of the vehicle are greater than any of the length, width and height parameters of the height-limiting and width-limiting point.

3. The system of claim 1, wherein, The calculation module comprises: The establishment unit is configured to establish a set of height-limited and width-limited point positions with collision risks ; wherein pos is a height-limited and width-limited point position on the navigation route The judgment unit is configured to take the height-limiting and width-limiting points in the set as collision risk points, and calculate the collision probability of the vehicle driving at the collision risk points.

4. The system of claim 3, wherein, The judgment unit comprises: a probability calculation subunit configured to calculate a collision probability of the vehicle driving at the collision risk point by the following formula: wherein k = n ; k values of n collision risk point positions mean value, i represents the i-th collision risk point position.

5. The system of claim 1, wherein, The collision warning module comprises a synchronization unit, an alarm unit and a wireless communication unit; the signal output end of the alarm unit is further connected with a buzzer and an LED indicator light; The alarm unit is connected with the big data cloud monitoring service module and the navigation module through the wireless communication unit, and is configured to trigger the height-limiting and width-limiting warning to the navigation module in a set alarm mode when the vehicle has a collision risk; The synchronization unit is connected with the calculation module and the navigation module through the wireless communication unit, and is configured to synchronize the collision probability of the vehicle driving at the collision risk points to the navigation module.

6. A navigation information-based dynamic height and width limit warning method for implementing the navigation information-based dynamic height and width limit warning system according to any one of claims 1 to 5, characterized by, It comprises: When the vehicle is started, the vehicle parameters are collected in real time; Based on the vehicle parameters and the navigation information, it is determined whether the current vehicle can pass through each height-limiting and width-limiting point on the navigation route, so as to determine whether the vehicle has a collision risk; The collision probability of the vehicle driving at the collision risk points is calculated for the vehicle having a collision risk; For the vehicle having a collision risk, a warning message is triggered to the navigation module, and the collision probability of the vehicle driving at the collision risk points is synchronized; The system comprises an information collection tool tbox, a navigation module and a collision warning module connected with a server end; and a big data cloud monitoring service module, a calculation module and a communication module arranged at the server end; The system further comprises a database and a query module; The database is configured to store the height-limiting and width-limiting point information and the vehicle parameters; The query module is configured to read the navigation information uploaded by the navigation module, and query all the height-limiting and width-limiting point information of the navigation route passing through the navigation information, including the longitude of the height-limiting and width-limiting point and the latitude of the height-limiting and width-limiting point. The database comprises a height-limiting and width-limiting database and a vehicle information database; The height-limiting and width-limiting database is configured to store the height-limiting and width-limiting point information in the navigation route. The vehicle information database is configured to record the vehicle parameters, and store the vehicle parameters according to the vehicle types; the vehicle parameters comprise a vehicle unique identifier, a vehicle length, a vehicle width and a vehicle height. The big data cloud monitoring service module comprises a data monitoring unit, a comparison unit and a determination unit; The data monitoring unit comprises a monitoring subunit, a relay, a wireless communication unit and a MEMS sensor; The monitoring subunit is connected with the MEMS sensor at the input end and connected with the relay at the output end; The MEMS sensor is configured to collect the length, width and height parameter information of the facilities of each height-limiting and width-limiting point on the navigation route in real time in combination with the navigation information. The monitoring subunit sends a trigger signal generated according to a feedback signal of the MEMS sensor to a relay; the relay is connected to the wireless communication unit and forwards the trigger signal to the comparison unit via the wireless communication unit; The comparison unit is configured to compare a vehicle length-width-height parameter corresponding to the unique vehicle identification in the vehicle parameter with a historical vehicle passing upper limit value, and if the vehicle parameter does not exceed the historical vehicle passing upper limit value, it is determined that the current vehicle is in a normal operating state; if the vehicle parameter exceeds the historical vehicle passing upper limit value, it is determined whether the current vehicle can pass each height-width limiting point along the navigation route according to the trigger signal generated by the monitoring subunit; The determination unit is configured to determine that the vehicle is at risk of collision when the vehicle cannot pass any height-width limiting point along the navigation route, and determine the height-width limiting point at risk of collision; The height-width limiting database records the latest height-width limiting data of the vehicle and the height-width limiting data at different historical times, thereby ensuring real-time dynamic updating of the height-width limiting data of the vehicle. The dynamic height-width limiting warning system based on navigation information comprises a vehicle body and the dynamic height-width limiting warning system based on navigation information according to any one of claims 1-5 arranged in the vehicle body.

7. A vehicle characterized by comprising: ​

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