CN116839607A

CN116839607A - Path data processing method, device and readable medium

Info

Publication number: CN116839607A
Application number: CN202210295288.4A
Authority: CN
Inventors: 叶显秀
Original assignee: Wuzhou Online E Commerce Beijing Co ltd
Current assignee: Wuzhou Online E Commerce Beijing Co ltd
Priority date: 2022-03-24
Filing date: 2022-03-24
Publication date: 2023-10-03

Abstract

The embodiment of the application provides a path data processing method, path data processing equipment and a readable medium. The method comprises the following steps: determining path information of a target path from a start point to a destination point; acquiring positioning data of vehicle running and generating running track information of the vehicle; comparing the driving track information with the path data to determine driving condition information of the vehicle; and when the driving condition information is that the vehicle is yawed, yaw prompt information is generated and fed back. The yaw prompt information can be generated and fed back when the yaw condition occurs, so that the logistics efficiency is improved.

Description

Path data processing method, device and readable medium

Technical Field

The present application relates to the field of logistics technology, and in particular, to a path data processing method, a terminal device, and a machine readable medium.

Background

With the continuous development of the logistics industry, more and more logistics service providers provide logistics services. The logistics service side is used for providing logistics services, such as logistics companies and the like.

The logistics service provided by the logistics service party comprises logistics pickup, transportation, distribution and the like. Wherein, most logistics objects need to be transported in different places. In off-site transportation, a transportation path is generally defined in order to ensure logistics efficiency.

However, in actual treatment, there are often cases where logistics transportation personnel do not travel along a transportation path, which affects logistics efficiency.

Disclosure of Invention

The embodiment of the application provides a path data processing method for improving logistics efficiency.

Correspondingly, the embodiment of the application also provides electronic equipment and a machine-readable medium, which are used for ensuring the implementation and application of the method.

In order to solve the above problems, an embodiment of the present application discloses a path data processing method, which includes:

determining path information of a target path from a start point to a destination point;

acquiring positioning data of vehicle running and generating running track information of the vehicle;

comparing the driving track information with the path data to determine driving condition information of the vehicle;

and when the driving condition information is that the vehicle is yawed, yaw prompt information is generated and fed back.

Optionally, the determining the path information of the target path from the start point to the destination point includes:

determining a starting place and a destination place according to the logistics information, and determining a plurality of paths from the starting place to the destination place;

and selecting a target path meeting the set condition from the multiple paths, and determining path information.

Optionally, selecting a target path meeting a set condition from the multiple paths, and determining path information includes:

respectively determining attribute information corresponding to the paths, wherein the attribute information comprises at least one of the following: resource attribute information, path length information, travel time information and fuel consumption information;

matching attribute information with the set conditions to determine paths conforming to the set conditions;

and obtaining the path information of the paths meeting the set conditions.

Optionally, acquiring positioning data of vehicle driving, generating driving track information of the vehicle includes:

acquiring positioning data of vehicle running in a set time range, wherein the positioning data comprises: longitude and latitude information of the positioning point;

and arranging the longitude and latitude information of the positioning points according to a time sequence to generate the running track information of the vehicle.

Optionally, the arranging the longitude and latitude information of the positioning point according to the time sequence to generate the driving track information of the vehicle includes:

performing point location compression processing on the positioning points based on the longitude and latitude information to obtain compressed longitude and latitude information of the positioning points;

and arranging the longitude and latitude information of the compressed locating points according to a time sequence to generate the running track information of the vehicle.

Optionally, the performing the point location compression processing on the positioning point based on the longitude and latitude information includes:

determining a starting positioning point and a terminating positioning point of the compressed segment;

screening intermediate positioning points between the starting positioning point and the ending positioning point based on longitude and latitude information, and determining at least one target positioning point which is away from the compressed segment and meets a compression condition;

and taking the initial positioning point, the target positioning point and the termination positioning point as compressed positioning points.

Optionally, screening among intermediate anchor points between the start anchor point and the end anchor point, at least one target anchor point that satisfies a compression condition from the compressed segment, including:

respectively determining the distance from the middle positioning point to a compressed line segment formed by the initial positioning point and the termination positioning point;

and when the distance is smaller than the distance threshold value, taking the corresponding end point positioning point as a target positioning point.

Optionally, the path information includes: target travel track information of the target path; the comparing the driving track information with the path data to determine driving condition information of the vehicle includes:

matching the driving track information with the target driving track information to determine an offset positioning point;

When the offset positioning point meets the offset condition, determining the driving condition information of the yaw of the vehicle;

and when the offset positioning point does not meet the offset condition, determining the running condition information of the normal running of the vehicle.

The embodiment of the application also discloses an electronic device, which comprises: a processor; and a memory having executable code stored thereon that, when executed, causes the processor to perform a method according to an embodiment of the present application.

One or more machine-readable media having stored thereon executable code that, when executed, causes a processor to perform a method according to an embodiment of the present application are also disclosed.

Compared with the prior art, the embodiment of the application has the following advantages:

in the embodiment of the application, the path information of the target path from the starting point to the destination point can be determined, then the positioning data of the vehicle running can be obtained, the running track of the vehicle is determined based on the positioning data, and then the running track is compared with the path information to determine the running condition information of the vehicle, so that the yaw condition of the vehicle can be found, and the yaw prompt information is generated and fed back under the condition of yaw occurrence, thereby improving the logistics efficiency.

Drawings

FIG. 1 is a flow chart of steps of an embodiment of a path data processing method of the present application;

FIG. 2 is a schematic diagram of an example of a path for an embodiment of the present application;

FIG. 3 is a flowchart illustrating steps of another embodiment of a path data processing method of the present application;

FIG. 4 is a flowchart illustrating steps of another embodiment of a path data processing method of the present application;

fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present application.

Detailed Description

In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description.

The embodiment of the application can be applied to logistics scenes, and can find the running path condition of the vehicle in the logistics transportation process, so that the vehicle is prompted when the yaw of the vehicle is found, the problems are found in time, the problems are solved, and the logistics efficiency is improved.

Referring to FIG. 1, a flowchart of steps of one embodiment of a path data processing method of the present application is shown.

Step 102, determining path information of a target path from a start point to a destination point.

A starting point and a destination point of the vehicle driving are determined, and then a target path from the starting point to the destination point is determined, wherein the target path is a specified path from the starting point to the destination point, and the target path can be screened according to a certain rule. And acquiring path information of the target path. The path information may be track data formed by positioning points, and is a standard running track of the target path. As in the example of fig. 2, the solid line from the start point to the destination point is the standard travel trajectory of the target path.

Taking the logistic scene as an example, a driver of a logistic service side generally has a specified driving route for driving a vehicle, and the route can be understood as a route formed by two places, such as a route from Shanghai to Beijing, a route from Hangzhou to Nanjing, and the like. A driving user typically makes a round trip in one or more lines. The arrangement of the line is generally related to the logistics center of the logistics service party, and the logistics service party can plan the line between the two logistics centers based on the logistics center. The corresponding route is then configured for the driving user and the vehicle. The corresponding driving path can be planned for each route, so that a driving user can drive according to the path.

In some alternative embodiments, the determining path information of the target path from the start point to the destination point includes: determining a starting place and a destination place according to the logistics information, and determining a plurality of paths from the starting place to the destination place; and selecting a target path meeting the set condition from the multiple paths, and determining path information. The start point and the destination point can be determined according to the logistics information in the logistics scene. The logistics information can comprise the position of a logistics center, the type of the logistics center, the transportation mode and the like. The transportation mode generally related to vehicle running is land transportation, and the type of the logistics center can be various types such as a sorting center, a warehouse, a transfer center and the like. The location of the logistics center can be used to determine the corresponding start and destination points. The starting point and the destination point can be cities, specific addresses can be also accurate, and specific accuracy can be determined according to requirements. The logistics service can determine the origin and destination of the land transportation based on the logistics information. There may be multiple paths between the start point and the destination point, and multiple paths from the start point to the destination point may be determined. Each path corresponds to path information, and the path information is used for determining a standard running track corresponding to the path, so that the path information comprises longitude and latitude information of each track point on the standard running track.

Each path is also corresponding to attribute information, and the paths can be screened based on the attribute information to obtain the required target path. Wherein the attribute information includes at least one of: resource attribute information, path length information, travel time information, and fuel consumption information. The resource attribute information refers to an attribute related to the path resource, and the resource may be various types of resources, such as a fee, a road fee, a patch, and the like. The long-path information of the path refers to the travel distance corresponding to the path, such as XX kilometers. The travel time information refers to a time when the path corresponds to the travel of the vehicle, and the time may be determined based on the path length, the travel time speed requirement, the actual duration of the plurality of travels, and the like. The fuel consumption information refers to the amount of fuel consumed by the vehicle traveling on the route, and the like.

In an alternative embodiment, selecting a target path meeting a set condition from the multiple paths, determining path information includes: respectively determining attribute information corresponding to the paths, wherein the attribute information comprises at least one of the following: resource attribute information, path length information, travel time information and fuel consumption information; matching attribute information with the set conditions to determine paths conforming to the set conditions; and obtaining the path information of the paths meeting the set conditions. For a plurality of paths from a start point to a destination point, attribute information of each path may be acquired, and then matching is performed using the attribute information and setting conditions. Wherein, the setting condition is a preset condition for screening paths, and the setting condition can be set based on requirements. The setting condition may be set based on a request of a logistics service side in a logistics scene, for example. The setting condition may be generated based on any one or more of the attributes, for example, the shortest time, the smallest resource consumption, the shortest running time, etc., and if each attribute corresponds to a certain weight, the setting condition is determined by using the results of the calculation of the plurality of attributes, etc., so that whether the setting condition is satisfied or not may be determined based on the attribute information of each path. After determining the path meeting the set condition, path information of the path meeting the set condition can be obtained.

In the embodiment of the application, after some circuits have determined the target path, the path information of the target path can be directly acquired later.

And 104, acquiring positioning data of vehicle running and generating running track information of the vehicle.

In the running process of the vehicle, the corresponding positioning data can be obtained through real-time or periodic positioning of the positioning system. The positioning system may be various satellite positioning systems, such as a global positioning system (Global Positioning System, GPS), a beidou positioning system, etc. After the vehicle acquires the positioning data, the positioning data can be reported to the server. And if the positioning data are periodically reported, the positioning data of each period comprise the longitude and latitude information of each positioning point in the period, and the server can arrange the longitude and latitude information of each positioning point according to the time sequence to generate the running track information of the vehicle. Thus, in an alternative embodiment, the generating the driving track information of the vehicle by taking the positioning data of the driving of the vehicle includes: acquiring positioning data of vehicle running in a set time range, wherein the positioning data comprises: longitude and latitude information of the positioning point; and arranging the longitude and latitude information of the positioning points according to a time sequence to generate the running track information of the vehicle.

In the embodiment of the present application, before arranging the longitude and latitude information of the positioning point according to the time sequence, the method further includes: and cleaning longitude and latitude information of the positioning point. In the actual processing, the positioning points of the positioning system may have problems such as drift, so that the positioning points need to be cleaned based on longitude and latitude information to execute noise reduction processing. The cleaning method includes various methods, such as detecting noise drift singular points which do not conform to geometric characteristics, and deleting longitude and latitude information of the drift singular points. For another example, for a continuously and repeatedly reported anchor point, only one anchor point may be reserved. For example, the speed information of the vehicle corresponding to the locating point can be detected, if the speed exceeds a speed threshold value, such as 200KM/h, the locating point can be judged to be a noise point, and the locating point can be deleted. For example, if the vehicle speed is 0, the locating point with the speed of 0 is determined to be a noise point, and only one description start and stop point is reserved, for example, if the vehicle speed is 0 in the middle of the locating point and the former locating point is normal in the running process of the vehicle, the locating point with the speed of 0 can be deleted as the noise point. In addition, points that do not fit the smooth filter feature may also be detected as noise point erasures, or the like. And therefore, the cleaned positioning data are reserved, and track determination is carried out.

In an optional embodiment, the arranging the longitude and latitude information of the positioning point according to the time sequence to generate the driving track information of the vehicle includes: performing point location compression processing on the positioning points based on the longitude and latitude information to obtain compressed longitude and latitude information of the positioning points; and arranging the longitude and latitude information of the compressed locating points according to a time sequence to generate the running track information of the vehicle. In the long-distance running process of the vehicle, there may be many positioning points, if each positioning point is matched after determining the track, the data volume is relatively large, and the corresponding processing speed is affected. Therefore, the embodiment of the application can perform point location compression processing on the positioning points, and can reduce the positioning points needing to be processed, thereby reducing the data volume.

The performing point location compression processing on the positioning point based on longitude and latitude information includes: determining a starting positioning point and a terminating positioning point of the compressed segment; screening intermediate positioning points between the starting positioning point and the ending positioning point based on longitude and latitude information, and determining at least one target positioning point which is away from the compressed segment and meets a compression condition; and taking the initial positioning point, the target positioning point and the termination positioning point as compressed positioning points. Screening among intermediate anchor points between the start anchor point and the end anchor point, at least one target anchor point which is located at a distance from the compressed segment to meet a compression condition, including: respectively determining the distance from the middle positioning point to a compressed line segment formed by the initial positioning point and the termination positioning point; and when the distance is smaller than the distance threshold value, taking the corresponding end point positioning point as a target positioning point. The compressed segment, and its start anchor point and end anchor point, may be determined according to various conditions such as time, distance, number of anchor points, etc. The line segment formed by the initial positioning point and the termination positioning point can be determined by compressing the intermediate positioning point between the initial positioning point and the termination positioning point. Then, the traversal starts from the second anchor point (i.e., the first intermediate anchor point), and the distance from each intermediate anchor point to the line segment is determined, and the distance may be the maximum distance from the intermediate anchor point to the line segment. A distance threshold may also be set, which may be set based on demand, such as 300m, etc. It may be determined whether the distance is less than a distance threshold and if the distance is greater than or equal to the distance threshold, the next anchor point is continued to be queried. If the distance is less than the distance threshold, the point between the point and the start anchor point or the end anchor point may be deleted. Wherein the start anchor point may be set to start=0 and the end anchor point end=size-1, size being the number of anchor points in the compressed segment. Traversing from the second locating point tmp=start+1, determining the linear distance from the locating point tmp to be compared to the line segment formed by the start and end, and finding out the point with the maximum distance. If the current maximum distance is greater than or equal to the maximum distance error, dividing the center according to the maximum error, continuing recursively compressing, and if the current distance is less than the maximum distance error, discarding all points in the middle.

In an alternative embodiment of the present application, the anchor points generally form a curved track, and the start anchor point and the end anchor point may be connected to form a straight line, and then the vertical distance between each point on the curved track and the execution is calculated to determine the maximum distance value. The maximum distance value is then compared to a distance threshold. If the maximum distance value is greater than or equal to the distance threshold, the curve is divided into two sections by taking the point as a boundary, and the distances are calculated in the two sections respectively in the mode and compared with the distance threshold. Wherein if the maximum distance value is less than the distance threshold, points in the middle of the curve are dropped. And (5) until the corresponding distances of the rest intermediate point loci are smaller than a distance threshold value, completing the compression of the positioning points. The compression precision of the positioning points in the point location compression processing is related to a distance threshold value, and the greater the distance threshold value is, the greater the simplification degree is, and the more the corresponding point locations are reduced. Conversely, the lower the success degree, the more points remain. In a target path from a starting place to a destination, the number of positioning points is 3695, and under the condition that the distance threshold is 300 meters, the number of the points subjected to point location compression processing is 305, the point location compression ratio is 92%, so that the data volume is effectively reduced. The original point position comparison takes about 17 seconds, the positioning time after compression takes 1.9 seconds, and the processing efficiency is improved.

After the compression is completed, the longitude and latitude information of the compressed positioning points can be arranged according to the time sequence to generate the running track information of the vehicle.

And 106, comparing the running track information with the path data to determine the running condition information of the vehicle.

The path information includes target travel track information, i.e., a standard travel track, of the target path. The travel track information and the path data may be compared to determine travel condition information of the vehicle. In an optional embodiment, the comparing the driving track information with the path data to determine driving condition information of the vehicle includes: matching the driving track information with the target driving track information, and determining an offset positioning point; when the locating point of the offset meets the offset condition, determining the driving condition information of the yaw of the vehicle; and when the locating point of the offset does not meet the offset condition, determining the running condition information of the normal running of the vehicle. And matching each positioning point in the running track information with a corresponding track point on the target running track information, and judging whether the positioning point is deviated or not. In a scene, after determining the positioning point to be compared in the driving track information, two track points closest to the positioning point to be compared can be determined on the target driving track information, for example, in fig. 2, the positioning point to be compared is P, and two track points closest to the positioning point to be compared on the target driving track information are A, B respectively. The point A and the point B can form a line segment AB, then the vertical distance between the point P and the line segment AB is determined, the vertical distance is compared with an offset threshold value, if the vertical distance is larger than the offset threshold value, the locating point is considered to be an offset locating point, and if the vertical distance is smaller than or equal to the offset threshold value, the locating point is considered to be a normal locating point, and the next locating point can be continuously detected. After calculating the offset setpoint on the path, it can be compared with the offset condition. The offset threshold is a distance threshold for determining that the positioning point is offset, and can be set according to requirements. The offset condition is a condition for determining yaw of the vehicle, that is, the vehicle determines whether the vehicle is traveling in accordance with a trajectory. The offset condition may be set based on requirements, such as setting to occur N consecutive offset anchor points, setting to occur M offset anchor points within a predetermined time, and so on. Thereby judging whether the offset positioning point meets the offset condition, and determining the driving condition information of the yaw of the vehicle when the offset positioning point meets the offset condition; and when the offset positioning point does not meet the offset condition, determining the running condition information of the normal running of the vehicle. Corresponding running condition information is generated.

And step 108, when the running condition information is that the vehicle is yawed, yaw prompt information is generated and fed back.

When the driving condition information is yaw of the vehicle, yaw prompt information for prompting yaw of the vehicle may be generated. The yaw prompt information can be sent to the server to record the yaw problem of the vehicle, prompt a driving user and the like. The yaw prompt information can be sent to electronic equipment of a driving user, such as vehicle-mounted equipment on a vehicle, a mobile phone of the driving user and other user terminals, so that the driving user is timely prompted to yaw, and if a problem occurs on a line, the driving user can report the yaw in time, such as high-speed road sealing, accidents and the like.

In summary, the path information of the target path from the starting point to the destination point is determined, then the positioning data of the vehicle running can be obtained, the running track of the vehicle is determined based on the positioning data, then the running track is compared with the path information, and the running condition information of the vehicle is determined, so that the yaw condition of the vehicle can be found, and the yaw prompt information is generated and fed back when the yaw condition occurs, so that the logistics efficiency is improved.

In the embodiment of the application, taking the acquisition of positioning data and the detection of yaw in the running process of the vehicle as an example, in the actual processing, the history data of the vehicle which has completed the route running can also be detected, namely the positioning data of the running of the vehicle in the history data can be acquired, and then whether the yaw occurs in the running process of the vehicle in the target path is detected. The dashed line in fig. 2 may be the case when the vehicle is yawed at a certain section during travel. Therefore, the yaw situation of the vehicle can be analyzed based on the historical data, the yaw situation of the vehicle and the attributes of the vehicle can be subjected to association analysis, and whether the yaw vehicle causes changes in path, time, cost and the like can be determined.

On the basis of the embodiment, the embodiment of the application also provides a path data processing method which can determine the running yaw and other conditions of the vehicle and prompt the vehicle in time.

Referring to fig. 3, a flowchart of steps of another path data processing method embodiment of the present application is shown.

Step 302, determining a starting point and a destination point according to the logistics information, and determining a plurality of paths from the starting point to the destination point.

And 304, selecting a target path meeting the set condition from the plurality of paths, and determining path information.

Wherein selecting a target path meeting a set condition from the plurality of paths, determining path information, includes: respectively determining attribute information corresponding to the paths, wherein the attribute information comprises at least one of the following: resource attribute information, path length information, travel time information and fuel consumption information; matching attribute information with the set conditions to determine paths conforming to the set conditions; and obtaining the path information of the paths meeting the set conditions.

Step 306, obtaining positioning data of vehicle running within a set time range, wherein the positioning data comprises: longitude and latitude information of the positioning point.

And 308, performing point location compression processing on the positioning points based on the longitude and latitude information to obtain compressed longitude and latitude information of the positioning points.

The performing point location compression processing on the positioning point based on longitude and latitude information includes: determining a starting positioning point and a terminating positioning point of the compressed segment; screening intermediate positioning points between the starting positioning point and the ending positioning point based on longitude and latitude information, and determining at least one target positioning point which is away from the compressed segment and meets a compression condition; and taking the initial positioning point, the target positioning point and the termination positioning point as compressed positioning points.

Screening among intermediate positioning points between the starting positioning point and the ending positioning point, and at least one target positioning point which is away from the compressed segment and meets the compression condition, wherein the method comprises the following steps: respectively determining the distance from the middle positioning point to a compressed line segment formed by the initial positioning point and the termination positioning point; and when the distance is smaller than the distance threshold value, taking the corresponding end point positioning point as a target positioning point.

And 310, arranging the longitude and latitude information of the compressed positioning points according to a time sequence to generate the running track information of the vehicle.

Step 312, matching the driving track information with the target driving track information, and determining an offset positioning point, where the path information includes: target travel track information of the target path.

Step 314, determining whether the offset setpoint satisfies an offset condition.

If yes, go to step 318, if no, go to step 316.

Step 316, determining the running status information of the vehicle running normally.

At step 318, travel condition information for yaw of the vehicle is determined.

And when the offset positioning point meets the offset condition, determining the driving condition information of the yaw of the vehicle.

Step 320, yaw cue information is generated and fed back.

After the vehicle yawing occurs, yawing prompt information can be generated and fed back.

On the basis of the embodiment, the embodiment of the application also provides a path data processing method which can detect the transport vehicle of the logistics service provider, determine the running yaw and other conditions of the vehicle and prompt in time.

Referring to fig. 4, a flowchart of steps of another path data processing method embodiment of the present application is shown.

Step 402, determining a target path corresponding to a logistics line, and obtaining path information of the target path.

Wherein, the logistics route can be determined based on a logistics center, a line setting and the like. The determining the target path corresponding to the logistics line, and obtaining path information of the target path, includes: determining a starting place and a destination place according to the logistics route, and determining a plurality of paths from the starting place to the destination place; and selecting a target path meeting the set condition from the multiple paths, and determining path information. Selecting a target path meeting a set condition from the plurality of paths, and determining path information, including: respectively determining attribute information corresponding to the paths, wherein the attribute information comprises at least one of the following: resource attribute information, path length information, travel time information and fuel consumption information; matching attribute information with the set conditions to determine paths conforming to the set conditions; and obtaining the path information of the paths meeting the set conditions.

Step 404, obtaining positioning data of vehicle running in a set time range, wherein the positioning data comprises: longitude and latitude information of the positioning point.

And 406, arranging the longitude and latitude information of the positioning points according to a time sequence to generate the running track information of the vehicle.

The positioning point compression processing can be carried out on the positioning point based on the longitude and latitude information, so that the longitude and latitude information of the compressed positioning point is obtained; and arranging the longitude and latitude information of the compressed locating points according to a time sequence to generate the running track information of the vehicle.

The performing point location compression processing on the positioning point based on longitude and latitude information comprises the following steps: determining a starting positioning point and a terminating positioning point of the compressed segment; screening intermediate positioning points between the starting positioning point and the ending positioning point based on longitude and latitude information, and determining at least one target positioning point which is away from the compressed segment and meets a compression condition; and taking the initial positioning point, the target positioning point and the termination positioning point as compressed positioning points.

Screening among intermediate anchor points between the start anchor point and the end anchor point, at least one target anchor point which is located at a distance from the compressed segment to meet a compression condition, including: respectively determining the distance from the middle positioning point to a compressed line segment formed by the initial positioning point and the termination positioning point; and when the distance is smaller than the distance threshold value, taking the corresponding end point positioning point as a target positioning point.

And step 408, matching the driving track information with the target driving track information, and determining an offset positioning point.

Step 410, determining whether the offset setpoint satisfies an offset condition.

If yes, go to step 414, if no, go to step 412.

Step 412, determining running condition information of the vehicle running normally.

At step 414, travel condition information for yaw of the vehicle is determined.

And step 416, yaw prompt information is generated and fed back.

After the vehicle yawing occurs, a yawing prompt message can be generated and sent to a service end of the logistics service provider. The service side of the subsequent logistics service provider may perform the required processing based on demand, such as recording yaw events, prompting the driver of the logistics vehicle, etc.

In summary, the embodiment of the application can compress the positioning points, thereby reducing the data volume, improving the processing efficiency and realizing millisecond-level path comparison. Line offset pre-alarm analysis can also be performed. When the yaw problem of the vehicle is found, prompting and reminding.

It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the application.

On the basis of the above embodiment, the present embodiment further provides a power consumption processing device of the internet data center IDC, which is applied to an electronic device of a server device (cluster).

A path determination module for determining path information of a target path from a start point to a destination point;

the track generation module is used for acquiring positioning data of vehicle running and generating running track information of the vehicle;

the yaw analysis module is used for comparing the running track information with the path data and determining the running condition information of the vehicle;

and the prompt module is used for generating yaw prompt information and feeding back the yaw prompt information when the driving condition information is that the vehicle is yawed.

In summary, the path information of the target path from the start point to the destination point can be determined, then the positioning data of the vehicle running can be obtained, the running track of the vehicle is determined based on the positioning data, then the running track is compared with the path information, and the running condition information of the vehicle is determined, so that the yaw condition of the vehicle can be found, and the yaw prompt information is generated and fed back when the yaw condition occurs, thereby improving the logistics efficiency.

The route determining module is used for determining a starting place and a destination place according to the logistics information and determining a plurality of routes from the starting place to the destination place; and selecting a target path meeting the set condition from the multiple paths, and determining path information.

The path determining module is configured to determine attribute information corresponding to the multiple paths, where the attribute information includes at least one of the following: resource attribute information, path length information, travel time information and fuel consumption information; matching attribute information with the set conditions to determine paths conforming to the set conditions; and obtaining the path information of the paths meeting the set conditions.

The track generation module is used for acquiring positioning data of vehicle running in a set time range, and the positioning data comprises: longitude and latitude information of the positioning point; and arranging the longitude and latitude information of the positioning points according to a time sequence to generate the running track information of the vehicle.

The track generation module comprises: the device comprises a point location compression sub-module and a track determination sub-module, wherein:

the point location compression sub-module is used for performing point location compression processing on the positioning points based on the longitude and latitude information to obtain the longitude and latitude information of the compressed positioning points;

the track determination submodule is used for arranging longitude and latitude information of the compressed locating points according to a time sequence and generating running track information of the vehicle.

The point location compression sub-module is used for determining a starting positioning point and a terminating positioning point of the compressed segment; screening intermediate positioning points between the starting positioning point and the ending positioning point based on longitude and latitude information, and determining at least one target positioning point which is away from the compressed segment and meets a compression condition; and taking the initial positioning point, the target positioning point and the termination positioning point as compressed positioning points.

The point location compression submodule is used for respectively determining the distance from the middle positioning point to a compressed line segment formed by the initial positioning point and the termination positioning point; and when the distance is smaller than the distance threshold value, taking the corresponding end point positioning point as a target positioning point.

The path information includes: target travel track information of the target path; the yaw analysis module is used for matching the running track information with the target running track information and determining an offset positioning point; when the offset positioning point meets the offset condition, determining the driving condition information of the yaw of the vehicle; and when the offset positioning point does not meet the offset condition, determining the running condition information of the normal running of the vehicle.

The embodiment of the application also provides a non-volatile readable storage medium, in which one or more modules (programs) are stored, where the one or more modules are applied to a device, and the device can execute instructions (instructions) of each method step in the embodiment of the application.

Embodiments of the application provide one or more machine-readable media having instructions stored thereon that, when executed by one or more processors, cause an electronic device to perform a method as described in one or more of the above embodiments. In the embodiment of the application, the electronic equipment comprises various types of equipment such as terminal equipment, servers (clusters) and the like.

Embodiments of the present disclosure may be implemented as an apparatus for performing a desired configuration using any suitable hardware, firmware, software, or any combination thereof, which may include electronic devices such as terminal devices, servers (clusters), etc. within a data center. Fig. 5 schematically illustrates an exemplary apparatus 500 that may be used to implement various embodiments described in the present disclosure.

For one embodiment, fig. 5 illustrates an example apparatus 500 having one or more processors 502, a control module (chipset) 504 coupled to at least one of the processor(s) 502, a memory 506 coupled to the control module 504, a non-volatile memory (NVM)/storage 508 coupled to the control module 504, one or more input/output devices 510 coupled to the control module 504, and a network interface 512 coupled to the control module 504.

The processor 502 may include one or more single-core or multi-core processors, and the processor 502 may include any combination of general-purpose or special-purpose processors (e.g., graphics processor, application processor, baseband processor, etc.). In some embodiments, the apparatus 500 can be used as a terminal device, a server (cluster), or the like in the embodiments of the present application.

In some embodiments, the apparatus 500 can include one or more computer-readable media (e.g., memory 506 or NVM/storage 508) having instructions 514 and one or more processors 502 in combination with the one or more computer-readable media configured to execute the instructions 514 to implement the modules to perform the actions described in this disclosure.

For one embodiment, the control module 504 may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) 502 and/or any suitable device or component in communication with the control module 504.

The control module 504 may include a memory controller module to provide an interface to the memory 506. The memory controller modules may be hardware modules, software modules, and/or firmware modules.

Memory 506 may be used, for example, to load and store data and/or instructions 514 for apparatus 500. For one embodiment, memory 506 may include any suitable volatile memory, such as, for example, a suitable DRAM. In some embodiments, memory 506 may comprise a double data rate type four synchronous dynamic random access memory (DDR 4 SDRAM).

For one embodiment, the control module 504 may include one or more input/output controllers to provide an interface to the NVM/storage 508 and the input/output device(s) 510.

For example, NVM/storage 508 may be used to store data and/or instructions 514. NVM/storage 508 may include any suitable nonvolatile memory (e.g., flash memory) and/or may include any suitable nonvolatile storage device(s) (e.g., one or more Hard Disk Drives (HDDs), one or more Compact Disc (CD) drives, and/or one or more Digital Versatile Disc (DVD) drives).

NVM/storage 508 may include a storage resource that is physically part of the device on which apparatus 500 is installed, or it may be accessible by the device without necessarily being part of the device. For example, NVM/storage 508 may be accessed over a network via input/output device(s) 510.

Input/output device(s) 510 may provide an interface for apparatus 500 to communicate with any other suitable device, input/output device 510 may include a communication component, an audio component, a sensor component, and the like. Network interface 512 may provide an interface for device 500 to communicate over one or more networks, and device 500 may wirelessly communicate with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols, such as accessing a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, 5G, etc., or a combination thereof.

For one embodiment, at least one of the processor(s) 502 may be packaged together with logic of one or more controllers (e.g., memory controller modules) of the control module 504. For one embodiment, at least one of the processor(s) 502 may be packaged together with logic of one or more controllers of the control module 504 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 502 may be integrated on the same mold as logic of one or more controllers of the control module 504. For one embodiment, at least one of the processor(s) 502 may be integrated on the same die with logic of one or more controllers of the control module 504 to form a system on chip (SoC).

In various embodiments, the apparatus 500 may be, but is not limited to being: a server, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.), among other terminal devices. In various embodiments, the apparatus 500 may have more or fewer components and/or different architectures. For example, in some embodiments, the apparatus 500 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen display), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and a speaker.

The detection device can adopt a main control chip as a processor or a control module, sensor data, position information and the like are stored in a memory or an NVM/storage device, a sensor group can be used as an input/output device, and a communication interface can comprise a network interface.

For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.

In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the application.

Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.

The foregoing has outlined a detailed description of a path data processing method, a terminal device and a machine readable medium, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, and the above examples are provided to assist in understanding the method and core idea of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. A method of path data processing, the method comprising:

2. The method of claim 1, wherein the determining path information for the target path from the start point to the destination point comprises:

3. The method of claim 2, wherein selecting a target path from the plurality of paths that meets a set condition, determining path information, comprises:

and obtaining the path information of the paths meeting the set conditions.

4. The method of claim 1, wherein obtaining positioning data for travel of a vehicle, generating travel track information for the vehicle, comprises:

5. The method of claim 4, wherein the arranging the longitude and latitude information of the anchor points in time sequence generates the travel track information of the vehicle, comprises:

6. The method of claim 5, wherein the performing the point location compression process on the anchor point based on the latitude and longitude information comprises:

7. The method of claim 6, wherein screening among intermediate anchor points between the start anchor point and the end anchor point, at least one target anchor point that satisfies a compression condition from the compressed segment, comprises:

8. The method of claim 1, wherein the path information comprises: target travel track information of the target path; the comparing the driving track information with the path data to determine driving condition information of the vehicle includes:

9. An electronic device, comprising: a processor; and

a memory having executable code stored thereon that, when executed, causes the processor to perform the method of any of claims 1-8.

10. One or more machine readable media having executable code stored thereon that, when executed, causes a processor to perform the method of any of claims 1-8.