CN116911511A - Commercial concrete transportation vehicle real-time management method, device, equipment and storage medium - Google Patents
Commercial concrete transportation vehicle real-time management method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a method, a device, equipment and a storage medium for real-time management of commercial concrete transportation vehicles, wherein the method comprises the following steps: sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle; determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time; backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path; and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur according to the resident point sequence, the sampling time and the optimal backtracking path. The invention samples the position information of the commercial concrete transportation vehicle in the transportation process of the commercial concrete transportation vehicle, so as to know the transportation process of the commercial concrete transportation vehicle, determine the stay point sequence and the optimal backtracking path, judge whether the commercial concrete transportation vehicle has violations in the transportation process, and timely manage the commercial concrete transportation vehicle and eliminate the influence caused by the violations.
Description
Technical Field
The invention relates to the technical field of transportation management, in particular to a method, a device, equipment and a storage medium for real-time management of commercial concrete transportation vehicles.
Background
Concrete transportation is a very important project in the construction industry, and the engineering vehicles for transporting concrete are called commercial concrete transportation vehicles. The dispatching and supervision of commercial concrete transportation vehicles is an important ring in engineering management, because of the specificity of the carried goods, the engineering has more strict restrictions on the driving route of the commercial concrete transportation vehicles and the places for loading and unloading the goods. In order to avoid the illegal driving of the driver, the whole flow of the commercial concrete transportation vehicle needs to be finely monitored.
At present, the traditional construction site mainly adopts a digital means to monitor commercial concrete transport vehicles, and after finding that the concrete transport vehicles have accidents in the transportation process, relevant responsible persons of corresponding links are quickly and accurately found through the digital means, so that the influence caused by the transportation accidents is eliminated.
However, in the prior art, supervision and management of the commercial concrete transportation vehicle can only know the condition of the illegal transportation behavior after the illegal transportation behavior occurs, and the illegal transportation behavior cannot be determined in time according to the running condition of the commercial concrete transportation vehicle, so that the real-time supervision of the commercial concrete transportation vehicle cannot be realized, and the influence of the illegal transportation is reduced.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, apparatus, device and storage medium for real-time management of commercial concrete transportation vehicles, so as to solve the problem that the commercial concrete transportation vehicles cannot be monitored in real time in the prior art, and illegal transportation behaviors can be found in time according to the running conditions of the commercial concrete transportation vehicles, thereby reducing the influence of the illegal transportation behaviors.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for real-time management of commercial concrete transportation vehicles, including:
sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle;
determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time;
backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path;
and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur or not according to the resident point sequence, the sampling time and the optimal backtracking path.
In some possible implementations, the sequence of location information is a plurality of location sampling points; determining a residence point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time, wherein the residence point sequence comprises the following steps:
Determining the space distance between every two continuous position sampling points;
if the space distance between the continuous position sampling points is smaller than the preset space distance threshold value, calculating the head-tail time span of the continuous position sampling points according to the sampling time;
if the head-to-tail time span is greater than a preset time span threshold, the continuous plurality of position sampling points are a resident point sequence of the commercial concrete transportation vehicle.
In some possible implementations, backtracking a travel path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path, including:
determining a plurality of candidate path points of a plurality of position sampling points on the adjacent road section according to the position information sequence and the road network information;
predicting an optimal preposed path candidate path point of the previous sampling time of the current candidate path point based on a preset prediction model;
and sequentially connecting all the optimal preposed path candidate path points with the current candidate path point to obtain an optimal backtracking path of the current candidate path point.
In some possible implementations, determining whether abnormal behavior of the concrete transportation vehicle occurs according to the stay point sequence, the sampling time and the optimal backtracking path includes:
Judging whether the concrete transportation vehicle of the manufacturer has illegal parking behaviors according to the parking point sequence and the preset parking points;
determining whether false delivery behaviors occur according to the optimal backtracking path, the preset space range and the signing receipt;
and judging whether the concrete transportation vehicle is unloaded abnormally according to the sampling time and the historical unloading time.
In some possible implementations, determining whether the concrete transportation vehicle has an illegal parking behavior according to the parking point sequence and the preset parking point includes:
comparing the resident point sequence with a preset resident point, and judging illegal resident behaviors of the concrete transportation vehicle if the resident points except the preset resident point exist in the resident point sequence.
In some possible implementations, determining whether a false shipment activity occurs based on the optimal backtracking path, the preset spatial range, and the receipt includes:
judging whether the optimal backtracking path passes through a preset space range or not, and recording the number of the passing preset space ranges;
if the number of signed tickets is larger than the number passing through the preset space range, judging that false delivery behaviors occur to the concrete transportation vehicle.
In some possible implementations, determining whether the concrete transportation vehicle is unloaded abnormally according to the sampling time and the historical unloading time includes:
Calculating the driving-in time and the driving-out time of the business concrete transportation vehicle entering a preset space range;
calculating the unloading time of the concrete transportation vehicle of the manufacturer according to the driving-in time and the driving-out time;
if the difference between the unloading time and the historical unloading time exceeds a preset time threshold, judging that the concrete transportation vehicle has abnormal unloading behaviors.
In a second aspect, the present invention also provides a real-time management device for a commercial concrete transportation vehicle, including:
the sampling module is used for sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle;
the parking module is used for determining a parking point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time;
the backtracking module is used for backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path;
and the judging module is used for judging whether the concrete transportation vehicle of the manufacturer has abnormal behaviors according to the resident point sequence, the sampling time and the optimal backtracking path.
In a third aspect, the invention also provides a real-time management device for commercial concrete transportation vehicles, comprising a memory and a processor, wherein,
a memory for storing a program;
And the processor is coupled with the memory and is used for executing the program stored in the memory so as to realize the steps in the business concrete transportation vehicle real-time management method in any implementation mode.
In a fourth aspect, the present invention further provides a computer readable storage medium, configured to store a computer readable program or instructions, where the program or instructions, when executed by a processor, implement the steps in the method for real-time management of a commercial concrete transportation vehicle in any one of the foregoing implementation manners.
The beneficial effects of adopting the embodiment are as follows: the invention relates to a method, a device, equipment and a storage medium for real-time management of commercial concrete transportation vehicles, wherein the method comprises the following steps: sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle; determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time; backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path; and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur according to the resident point sequence, the sampling time and the optimal backtracking path. The invention samples the position information of the commercial concrete transportation vehicle in a preset period in the transportation process of the commercial concrete transportation vehicle, so as to know the transportation process of the commercial concrete transportation vehicle, determine the residence point sequence according to the sampled position information sequence and sampling time, and determine the optimal backtracking path of the commercial concrete transportation vehicle by backtracking the position information sequence and road network information, thereby judging whether the commercial concrete transportation vehicle has violations in the transportation process, timely finding out the violations of the commercial concrete transportation vehicle, managing the commercial concrete transportation vehicle and reducing the influence caused by the violations.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for real-time management of a commercial concrete transportation vehicle according to the present application;
FIG. 2 is a flowchart illustrating an embodiment of the step S102 in FIG. 1 according to the present application;
FIG. 3 is a schematic diagram illustrating the detection of an embodiment of determining a dwell point by the dwell point detection algorithm according to the present application;
FIG. 4 is a flowchart illustrating an embodiment of step S103 in FIG. 1 according to the present application;
FIG. 5 is a schematic diagram of an embodiment of an optimal traceback path according to the present application;
FIG. 6 is a schematic diagram of a path through which the present application provides an embodiment of the present application and a latest buffer;
FIG. 7 is a schematic diagram of a path showing an embodiment of an optimal traceback path according to the present application;
FIG. 8 is a flowchart illustrating an embodiment of the step S104 in FIG. 1 according to the present application;
FIG. 9 is a schematic diagram illustrating a real-time management apparatus for a commercial concrete transportation vehicle according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a real-time management device for a concrete transportation vehicle according to an embodiment of the present application.
Detailed Description
The following detailed description of preferred embodiments of the application is made in connection with the accompanying drawings, which form a part hereof, and together with the description of the embodiments of the application, are used to explain the principles of the application and are not intended to limit the scope of the application.
In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The application provides a method, a device, equipment and a storage medium for real-time management of commercial concrete transportation vehicles, which are respectively described below.
Referring to fig. 1, fig. 1 is a flow chart of an embodiment of a method for real-time management of a commercial concrete transportation vehicle, and a specific embodiment of the application discloses a method for real-time management of a commercial concrete transportation vehicle, which includes:
s101, sampling position information of a commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle;
s102, determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time;
S103, backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path;
and S104, judging whether the concrete transportation vehicle of the manufacturer has abnormal behaviors according to the resident point sequence, the sampling time and the optimal backtracking path.
In the above embodiment, in order to determine the driving track of the vehicle, the commercial concrete transportation vehicle is installed with an on-board GPS device for reporting the spatial position of the vehicle, that is, a GPS point (position sampling point), to the supervision center in real time. The GPS points include license plate number (ID), sampling Time (Time), longitude (logic), and Latitude (Latitude). The reporting frequency of the GPS points is called the sampling rate of the GPS points, and typically, a GPS point is sampled for several tens of seconds (a preset period), and the GPS points form a position information sequence of the commercial concrete transportation vehicle. The supervision of commercial concrete transportation vehicles is realized based on a position information sequence consisting of sampled GPS points.
The location sampling points accessed in real time are usually placed in a detailed queue, and Kafka is a high-efficiency and extensible distributed message queue, and a large number of location sampling points generated in real time can be stored for subsequent real-time analysis. In Kafka, a data set is called a Topic (Topic), which in turn is divided into partitions (partitions) that are stored in a distributed cluster of machines. The position sampling point is called a message in Kafka, each message has a Key, and Kafka can put the messages with the same Key value in the same partition, so that subsequent consumers can consume (read) the messages with the same Key value conveniently. For the position sampling points, the ID of the license plate number of the commercial concrete vehicle is used as a Key, so that the position sampling points generated by the same vehicle are ensured to be stored in the same subarea.
The vehicle is either in a stopped state or in a moving state. And determining a parking point sequence of the commercial concrete transportation vehicle through the position information sequence and the sampling time, wherein the parking point sequence indicates that the commercial concrete transportation vehicle is in a stopped state, and sampling points at other positions except the parking point are obtained by sampling the vehicle in a running state, so that the time when the commercial concrete transportation vehicle is in a moving state and the time when the commercial concrete transportation vehicle is in a stopped state in the transportation process is determined.
In the process of vehicle transportation, the running track of the vehicle can be displayed, and due to the error of the vehicle-mounted GPS equipment, the obtained position sampling points represent the space position which is possibly different from the real space position of the vehicle, and the position sampling points are possibly floated out of the road. The phenomenon that the connecting line of the position sampling points is directly displayed is that the vehicle does not strictly run along the road, but jumps from one position sampling point to another position sampling point, and the visualization effect of straddling rivers, parks and the like can occur. In order to solve these problems, a track map matching algorithm is proposed for determining a real route along which a vehicle travels according to a position sampling point of the vehicle and road network data along which the vehicle travels, and representing a travel track of the vehicle with the real route, so that an effect of the vehicle traveling completely along a road can be displayed.
Abnormal driving conditions of commercial concrete transportation vehicles are often closely related to the illegal operation of drivers. For illicit operations that may exist by the manager concrete transportation vehicle during the transportation of goods, the monitoring may be based on the stopped state of the vehicle, the traveling state, the optimal backtracking path of the manager concrete transportation vehicle, and the receipt of the manager concrete transportation vehicle.
Compared with the prior art, the method for managing the commercial concrete transportation vehicle in real time comprises the following steps: sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle; determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time; backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path; and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur according to the resident point sequence, the sampling time and the optimal backtracking path. The embodiment of the invention samples the position information of the commercial concrete transportation vehicle in a preset period in the transportation process of the commercial concrete transportation vehicle, so as to know the transportation process of the commercial concrete transportation vehicle, determine the residence point sequence according to the sampled position information sequence and sampling time, and determine the optimal backtracking path of the commercial concrete transportation vehicle by backtracking the position information sequence and road network information, thereby judging whether the commercial concrete transportation vehicle has violations in the transportation process, timely finding out the violations of the commercial concrete transportation vehicle, managing the commercial concrete transportation vehicle and reducing the influence caused by the violations.
Referring to fig. 2, fig. 2 is a flow chart of an embodiment of step S102 in fig. 1 provided in the present invention, and in some embodiments of the present invention, the position information sequence is a plurality of position sampling points; determining a residence point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time, wherein the residence point sequence comprises the following steps:
s201, determining the space distance between every two continuous position sampling points;
s202, if the space distance between the continuous position sampling points is smaller than a preset space distance threshold value, calculating the head-tail time span of the continuous position sampling points according to the sampling time;
and S203, if the head-to-tail time span is greater than a preset time span threshold, the continuous plurality of position sampling points are resident point sequences of the commercial concrete transportation vehicle.
In the above embodiment, the present invention finds the dwell point from the position information sequence, which is a set of a plurality of position sampling points, through the dwell point detection algorithm.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating detection of an embodiment of determining a parking point according to the parking point detection algorithm provided by the present invention, points P1 to P9 in fig. 3 are a sequence of position information, including 9 position sampling points, a spatial distance between two consecutive position sampling points is calculated first, when a distance between two adjacent position sampling points is smaller than a preset spatial distance threshold value, a previous position sampling point is considered to be a first possible parking point (P5), a spatial distance between a plurality of consecutive position sampling points is calculated and then all the position sampling points are possible parking points (P6, P7, P8), at this time, a span of a head-tail time of a plurality of consecutive position sampling points, that is, a span of P5 and P8 sampling times is also required to be calculated, and if the head-tail time span is greater than the preset time threshold value, the consecutive position sampling points are a sequence of parking points of a commercial concrete transportation vehicle, and the rest position sampling points are all travelling position sampling points.
It should be noted that, the preset spatial distance threshold and the preset time span threshold may be set according to actual needs, which is not limited in the present invention.
In addition, the position sampling points P5 (dwell start position sampling point) and P8 (dwell end position sampling point) in fig. 3, which are in critical states, are also output to the traveling position sampling point output stream, and a tag (position sampling point with a special mark) is inserted in the middle, which indicates that the dwell point is detected between P5 and P8 for use in the subsequent calculation task.
Referring to fig. 4, fig. 4 is a flowchart of an embodiment of step S103 in fig. 1 provided by the present invention, in some embodiments of the present invention, backtracking a travel path of a commercial concrete transportation vehicle according to a position information sequence and road network information to obtain an optimal backtracking path, including:
s401, determining a plurality of candidate path points of a plurality of position sampling points on an adjacent road section according to the position information sequence and road network information;
s402, predicting an optimal preposed path candidate path point of the previous sampling time of the current candidate path point based on a preset prediction model;
s403, sequentially connecting all the optimal pre-path candidate path points with the current candidate path point to obtain an optimal backtracking path of the current candidate path point.
In the above embodiment, if the running tracks of all the vehicles are displayed at the same time, serious visual confusion is caused on the visual interface because the data amount of the vehicle tracks is very large. In the proposal provided by the invention, a supervisor can select a vehicle on the visual interface and then check the route which the supervisor has traveled in the past period of time and the area where the supervisor has stopped. The visualization of the stay area is very simple, namely, each stay point of the stay point sequence in fig. 3 is stored in a database, and the corresponding stay point is queried from the database according to the vehicle ID and the time span and displayed on the front end interface. But for a visual presentation of the trajectory, more careful consideration is required.
However, due to the error of the vehicle-mounted GPS device, there is a difference between the spatial position represented by the position sampling point reported by the vehicle-mounted GPS device and the real spatial position of the vehicle, and the position sampling point is most likely to drift out of the road.
Referring to fig. 5, fig. 5 is a schematic path diagram of an embodiment of an optimal backtracking path provided by the present invention, and a trajectory map matching algorithm used in the present invention predicts a real driving path of a vehicle using a hidden markov model. Firstly, searching road sections close to the position sampling points on the road network (namely obtaining road network information), and taking the closest points on the road sections to the position sampling points as Candidate path points (Candidate points), wherein 3 similar road sections are searched by gps1 in the figure, and the corresponding 3 Candidate path points are c1-1, c1-2 and c1-3 respectively. Then, an optimal pre-candidate route point is predicted for each candidate route point, such as the pre-candidate route point c2-1 in fig. 5 is c1-2, that is, if the real position of the vehicle is c2-1, the last real position is most likely c1-2, and the connecting line in the figure is the shortest route of the two candidate route points on the road network.
Assuming that the probability that the vehicle is positioned at c4-2 is maximum at the moment corresponding to gps4, the real running route of the vehicle at gps 1-gps 4 is predicted to be c1-2- > c2-1- > c3-3- > c4-2, and the process of reversely searching the complete running route of the vehicle from the candidate path point c4-2 is called optimal path backtracking.
The hidden markov model is a predictive model, and since it is predictive, there is a possibility that there is a bias. In FIG. 5, the optimal candidate route point predicted on gps3 is c3-1, the corresponding route is c1-2- > c2-2- > c3-1 (shown by the black dotted line), and there is a deviation from the predicted route on gps4, which is a normal phenomenon. In order to display the most recently predicted optimal trace-back path on a large screen, it is necessary to overlay the previous path with the most recently predicted optimal trace-back path, for example, when gps3 is in-coming, the predicted path c1-2- > c2-2- > c3-1 is written into the Key-Value database, and when gps4 is in-coming, the predicted path c1-2- > c2-1- > c3-3- > c4-2 is written into the Key-Value database, and the predicted path on gps3 is overlaid. By taking the sampling time of the sampling point at the starting position of the license plate number and the path as the Key, the coverage effect can be realized, and the paths of the same vehicle after multi-section matching can be stored in the Key-Value database.
The optimal path backtracking is a process of searching reversely from the optimal candidate point of the sampling point at the current latest position, as can be seen from fig. 5, there are two candidate points c2-1 and c2-2 on the GPS2, and their optimal pre-candidate points all point to c1-2, this feature ensures that the optimal path predicted on c1-2 must be a part of the optimal paths predicted on all GPS points after it, the path predicted before c1-2 is called the necessary path according to the invention, and c1-2 is called the necessary candidate point on the GPS 1.
Referring to fig. 6, fig. 6 is a schematic path diagram of an embodiment of the present invention, in which two paths have to be traversed, and the candidate path points at the latest several position sampling points and the shortest path between the candidate path points are the critical points of the three parts, namely the candidate path points c1-2 and c4-1. c4-1 is the only candidate path point on gps4, and the predicted paths on gps5 and gps6 must pass through c4-1. In the real-time track map matching operator, when a must-pass candidate path point is encountered, a path between the must-pass candidate path point and a last must-pass candidate path point becomes a must-pass path, deviation can not occur with time any more, for example, gps4 flows in, c4-1 is found to be the must-pass candidate path point, and then the path c1-2- > c2-1- > c3-3- > c4-1 between the must-pass candidate path point and the last must-pass candidate path point c1-2 is written into a Key-Value database as a must-pass path, and is not covered again later. The subsequent real-time track map matching only needs to start from the position c4-1, and the previous candidate path points and the optimal trace-back path are cleared in the memory.
For the running position sampling point sequence, besides saving the latest position sampling point to the Key-Value database, all the position sampling points need to be saved (the old position sampling points are not covered by the new position sampling points, but all the position sampling points are saved), in order to avoid covering old data, the Key can be formed by using the brand ID and the sampling Time Time, the JSON character string of the GPS is the Value, and all the data are saved in the Key-Value database (such as HBase).
Referring to fig. 7, fig. 7 is a schematic path diagram of an embodiment of displaying an optimal backtracking path according to the present invention, when a track of a certain vehicle passing a period of time needs to be displayed, a required position sampling point can be scanned from a Key-Value database according to a vehicle ID and a time range, the position sampling points form a track, and the obtained path is displayed on a visual interface after a track map matching algorithm is executed, as shown by a dark line in fig. 7.
In order to facilitate management of commercial concrete transportation vehicles, the current position, the running state and the optimal backtracking path of the vehicles are displayed on a visual interface in real time, so that decisions of supervisory personnel can be effectively assisted.
And converting GPS points in the traveling GPS output stream into Key-Value Key Value pairs, wherein Key is a license plate number ID, and Value is a JSON format character string of the GPS. Key-Value Key Value pairs are stored in a Key-Value database (such as Redis, hbase) where the latest Value of the same Key Value will overwrite the old Value. By utilizing the characteristics, all the position sampling points which are in the latest travelling state of the vehicle are stored in the database, and the space positions corresponding to the position sampling points are the current positions of the vehicle. Since the travel position sampling point sequence includes the initial position sampling point (anchor point) of the parking point, the method for acquiring the current position of the vehicle is effective for the vehicle in the parking state and the travel state, and the current position is the position corresponding to p5 on the assumption that the vehicle stays from the sampling time of the position sampling point p 5.
According to the stay point detection algorithm and the sampling time of the position sampling points stored in the Key-Value database, the current running state of the vehicle can be judged. The anchor point p5 shown in fig. 3 is output to the travel position sampling point sequence, that is, appears in the Key-Value database, while the following p6 and p7 are not. If the time for initiating the query request is t, calculating the time difference between the sampling time of the position sampling point and the request time t for the position sampling point in each Key-Value database, and if the time difference is greater than the time threshold beta in the parking point detection algorithm, indicating that the vehicle has not generated a traveling position sampling point for a long time, namely, identifying that the current traveling state of the vehicle is the parking state, otherwise, identifying that the vehicle is in the traveling state. And (3) from the detection of the running state of the vehicle to the storage of the sampling point of the current position in the Key-Value database.
Referring to fig. 8, fig. 8 is a flowchart of an embodiment of step S104 in fig. 1 provided by the present invention, in some embodiments of the present invention, determining whether an abnormal behavior occurs in a concrete transportation vehicle according to a residence sequence, a sampling time and an optimal backtracking path includes:
s801, judging whether illegal parking behaviors occur to the concrete transportation vehicle of the manufacturer according to the parking point sequence and the preset parking points;
S802, determining whether false delivery behaviors occur or not according to the optimal backtracking path, the preset space range and the signing receipt;
s803, judging whether the concrete transportation vehicle is unloaded abnormally according to the sampling time and the historical unloading time.
In the above embodiment, during the transportation process of the commercial concrete transportation vehicle, the common abnormal behavior is the illegal resident behavior, the false delivery behavior and the unloading abnormality, so the embodiment specifically describes the three abnormal behaviors, and it can be understood that the invention can also add additional abnormal behaviors.
In some embodiments of the present invention, determining whether a concrete transportation vehicle exhibits an offending parking behavior according to a parking point sequence and a preset parking point includes:
comparing the resident point sequence with a preset resident point, and judging illegal resident behaviors of the concrete transportation vehicle if the resident points except the preset resident point exist in the resident point sequence.
In the above-described embodiment, if the vehicle frequently comes out of the preset stay point area, the driver is considered to have suspicious behaviors such as stealth and resale of concrete in the stay point area. For the parking point sequence obtained in the transportation process of the commercial concrete transportation vehicle, parking points (namely preset parking points) nearby a wagon balance, a factory station, a parking lot, a gas station and the like are generally eliminated, and the parking of the vehicle in the places is reasonable and is not considered to be an abnormal parking point. For the remaining residence points to be eliminated, the area is pre-warned in the scheme, so that the private reseller concrete of the transport vehicle is restrained, and economic losses are recovered for projects and plant stations.
In some embodiments of the present invention, determining whether a false shipment activity occurs based on the optimal backtracking path, the preset spatial range, and the receipt comprises:
judging whether the optimal backtracking path passes through a preset space range or not, and recording the number of the passing preset space ranges;
if the number of signed tickets is larger than the number passing through the preset space range, judging that false delivery behaviors occur to the concrete transportation vehicle.
In the above embodiment, when the commercial concrete transportation vehicle is unloaded, a receipt is generated, and a specific receipt time is provided on the receipt. However, there may be a case where false signing tickets are generated, that is, the vehicle does not drive into the destination for unloading, but the signing personnel generate false signing tickets, so that the business concrete is stolen and unloaded to other places, and economic loss is caused to enterprises. To monitor such unlawful behavior of providing false tickets and thief-unloader concrete, it is necessary to combine the preset spatial range of the destination, the generation time of the tickets, and the optimal backtracking path of the vehicle.
This specified spatial range of destinations is referred to as a geofence (i.e., a preset spatial range). Geofences are effectively a polygon in space, which is a virtual boundary for capturing the behavior of a moving object within a target space, such as when to drive in, when to drive out, etc. The electronic geofence technology is used for capturing the driving track of the vehicle at the destination, and comparing the driving track with the number of tickets and the signing time, so that the behavior of providing false tickets is detected.
In a specific embodiment, the electronic geofence is drawn by taking the coordinate point of the receiving address as a core and taking the designated length (for example, 500 meters) as a radius. By comparing each location sampling point accessed in the original sequence of location information with the geofence, if the location sampling point intersects the geofence, the vehicle is driven into the destination, and the times of the vehicle driving in and out (i.e., the sampling times of the location sampling points entering the geofence and leaving the geofence) are recorded. The time range of the real-time monitored vehicle activity in the destination is saved in a database. If the number of tickets generated by one vehicle is larger than the number of time ranges recorded in the database, the false ticket generation is indicated, and illegal actions such as false delivery, false transaction and the like between the station and the project need to be checked in time, so that a large amount of economic losses are recovered. If the number of pairs is up, but the ticket generation time does not fall within the time period that the vehicle appears at the destination, a situation that the ticket is generated after the vehicle has discharged the concrete of the manufacturer and left is described, and for this case, the ticket generation time can be corrected by the vehicle at the middle time of the time range of the destination, and the data accuracy is maintained.
In some embodiments of the present invention, determining whether a discharge anomaly of a commercial concrete transportation vehicle occurs based on a sampling time and a historical discharge time includes:
calculating the driving-in time and the driving-out time of the business concrete transportation vehicle entering a preset space range;
calculating the unloading time of the concrete transportation vehicle of the manufacturer according to the driving-in time and the driving-out time;
if the difference between the unloading time and the historical unloading time exceeds a preset time threshold, judging that the concrete transportation vehicle has abnormal unloading behaviors.
In the above embodiment, each transport process of the commercial concrete transport vehicle is recorded, for the same transport task, the historical unloading time is relatively fixed, the unloading time of the commercial concrete transport vehicle is calculated through the driving-in time and the driving-out time of the commercial concrete transport vehicle entering the preset space range, then the unloading time is different from the historical unloading time, if the historical unloading time exceeds the preset time threshold, the unloading time is obviously prolonged, the abnormal behavior of the unloading is considered, and the operator of the commercial concrete transport vehicle can communicate with the operator to further check the cause of the abnormality.
In addition to analyzing the vehicle behavior at the destination, the driving situation of the vehicle from the departure place (commercial concrete loading place) to the destination (commercial concrete unloading place) may also be analyzed. Because commercial concrete transportation vehicles are huge, the relationship between the running speed and the traffic condition is very large, and if the commercial concrete transportation vehicles transport commercial concrete in the time period of traffic jam, the transportation cost is increased (including increased oil consumption, increased running duration and increased traffic accident risk). The traffic jam is caused by a very large number of variables, and is complex, and the traffic jam is related to the space position of the driving route, such as the area with more pedestrians, such as schools, malls and the like, around the driving route; but also to the time of travel, such as in the morning and evening peaks, etc. In most cases, however, the spatial and temporal variations that cause traffic congestion are not well predicted and are costly. The proposal provides a simpler strategy for avoiding traffic jam, namely analyzing historical transportation tracks so as to select a proper route and transportation time.
When a driver driving the transport vehicle encounters bad road conditions, the driver can exert subjective activity of the driver, and a smoother driving line is selected. It is possible to find out which vehicles are transported in the shortest time in different time periods (such as the morning, the evening, or the weekday and the weekend) from the travel tracks of a plurality of vehicles, then match the track maps of these vehicles to obtain the route traveled by the vehicles, and then recommend the appropriate travel route for the driver of the transport vehicle in the appropriate time period.
In order to better implement the real-time management method for a commercial concrete transportation vehicle according to the embodiment of the present invention, referring to fig. 9, fig. 9 is a schematic structural diagram of an embodiment of the real-time management device for a commercial concrete transportation vehicle provided by the present invention, where the real-time management device 900 for a commercial concrete transportation vehicle includes:
the sampling module 910 is configured to sample the location information of the commercial concrete transportation vehicle in a preset period to obtain a location information sequence and sampling time of the commercial concrete transportation vehicle;
a parking module 920, configured to determine a parking point sequence of the commercial concrete transportation vehicle according to the location information sequence and the sampling time;
The backtracking module 930 is configured to backtrack the travel path of the commercial concrete transportation vehicle according to the location information sequence and the road network information to obtain an optimal backtracking path;
and the judging module 940 is used for judging whether the concrete transportation vehicle of the manufacturer has abnormal behaviors according to the resident point sequence, the sampling time and the optimal backtracking path.
What needs to be explained here is: the apparatus 900 provided in the foregoing embodiments may implement the technical solutions described in the foregoing method embodiments, and the specific implementation principles of each module or unit may refer to the corresponding content in the foregoing method embodiments, which is not repeated herein.
Referring to fig. 10, fig. 10 is a schematic structural diagram of a real-time management apparatus for a concrete transportation vehicle according to an embodiment of the present invention. Based on the above-mentioned commercial concrete transportation vehicle real-time management method, the invention also provides a commercial concrete transportation vehicle real-time management device, which can be a mobile terminal, a desktop computer, a notebook computer, a palm computer, a server and other computing devices. The commercial concrete transportation vehicle real-time management apparatus 1000 includes a processor 1010, a memory 1020, and a display 1030. Fig. 10 shows only some of the components of the commercial concrete delivery vehicle real-time management apparatus, but it should be understood that not all of the illustrated components need be implemented, and that more or fewer components may alternatively be implemented.
Memory 1020 may be, in some embodiments, an internal storage unit of a commercial concrete transportation vehicle real-time management device, such as a hard disk or memory of the commercial concrete transportation vehicle real-time management device. The memory 1020 may also be an external storage device of the commercial concrete transportation vehicle real-time management device in other embodiments, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, which is provided on the commercial concrete transportation vehicle real-time management device. Further, the memory 1020 may also include both internal and external storage devices of the commercial concrete transportation vehicle real-time management device. The memory 1020 is used for storing application software and various data installed in the real-time management device of the commercial concrete transportation vehicle, such as program codes of the real-time management device of the commercial concrete transportation vehicle, and the like. Memory 1020 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 1020 stores a real-time business concrete transportation vehicle management program 1040, and the real-time business concrete transportation vehicle management program 1040 can be executed by the processor 1010 to implement the business concrete transportation vehicle real-time management methods according to the embodiments of the present application.
The processor 1010 may be, in some embodiments, a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 1020, such as for performing a commercial concrete transportation vehicle real-time management method, etc.
The display 1030 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. Display 1030 is used to display information on commercial concrete transportation vehicle real-time management equipment and to display a visual user interface. The components 1010-1030 of the commercial concrete delivery vehicle real-time management device communicate with each other via a system bus.
In one embodiment, the steps in the commercial concrete transportation vehicle real-time management method as described above are implemented when the processor 1010 executes the commercial concrete transportation vehicle real-time management program 1040 in the memory 1020.
The present embodiment also provides a computer-readable storage medium having stored thereon a commercial concrete transportation vehicle real-time management program which when executed by a processor performs the steps of:
sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle;
Determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time;
backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path;
and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur or not according to the resident point sequence, the sampling time and the optimal backtracking path.
In summary, the present embodiment provides a method, an apparatus, a device, and a storage medium for real-time management of a commercial concrete transportation vehicle, where the method includes: sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle; determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time; backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path; and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur according to the resident point sequence, the sampling time and the optimal backtracking path. The invention samples the position information of the commercial concrete transportation vehicle in a preset period in the transportation process of the commercial concrete transportation vehicle, so as to know the transportation process of the commercial concrete transportation vehicle, determine the residence point sequence according to the sampled position information sequence and sampling time, and determine the optimal backtracking path of the commercial concrete transportation vehicle by backtracking the position information sequence and road network information, thereby judging whether the commercial concrete transportation vehicle has violations in the transportation process, timely finding out the violations of the commercial concrete transportation vehicle, managing the commercial concrete transportation vehicle and reducing the influence caused by the violations.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. The utility model provides a business concrete transportation vehicle real-time management method which is characterized by comprising the following steps:
sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle;
determining a resident point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time;
backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path;
and judging whether abnormal behaviors of the concrete transportation vehicle of the manufacturer occur according to the resident point sequence, the sampling time and the optimal backtracking path.
2. The business concrete transportation vehicle real-time management method according to claim 1, wherein the position information sequence is a plurality of position sampling points; the determining the residence point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time comprises the following steps:
Determining the space distance between every two continuous position sampling points;
if the spatial distance between the continuous position sampling points is smaller than a preset spatial distance threshold, calculating the head-tail time span of the continuous position sampling points according to the sampling time;
and if the head-to-tail time span is greater than a preset time span threshold, the continuous plurality of position sampling points are a resident point sequence of the commercial concrete transportation vehicle.
3. The method for real-time management of commercial concrete transportation vehicles according to claim 2, wherein backtracking the travel path of the commercial concrete transportation vehicles according to the position information sequence and the road network information to obtain an optimal backtracking path comprises:
determining a plurality of candidate path points of the plurality of position sampling points on the adjacent road sections according to the position information sequence and the road network information;
predicting an optimal preposed path candidate path point of the previous sampling time of the current candidate path point based on a preset prediction model;
and sequentially connecting all the optimal preposed path candidate path points with the current candidate path point to obtain an optimal backtracking path of the current candidate path point.
4. The method for real-time management of a commercial concrete transportation vehicle according to claim 1, wherein the determining whether the commercial concrete transportation vehicle has abnormal behavior according to the parking spot sequence, the sampling time and the optimal backtracking path comprises:
Judging whether illegal parking behaviors occur to the concrete transportation vehicle of the manufacturer according to the parking point sequence and the preset parking points;
determining whether false delivery behaviors occur or not according to the optimal backtracking path, a preset space range and the signing receipt;
and judging whether the concrete transportation vehicle is unloaded abnormally according to the sampling time and the historical unloading time.
5. The method for real-time management of a commercial concrete transportation vehicle according to claim 4, wherein the determining whether the commercial concrete transportation vehicle has a illicit parking behavior according to the parking spot sequence and the preset parking spot comprises:
comparing the resident point sequence with the preset resident points, and judging illegal resident behaviors of the concrete transportation vehicle if the resident points except the preset resident points exist in the resident point sequence.
6. The method according to claim 4, wherein determining whether a false delivery behavior occurs according to the optimal backtracking path, a preset space range, and a receipt, comprises:
judging whether the optimal backtracking path passes through the preset space range or not, and recording the number of the passing through the preset space range;
If the number of signed tickets is larger than the number passing through the preset space range, judging that false delivery behaviors occur to the concrete transportation vehicle.
7. The method for real-time management of a commercial concrete transportation vehicle according to claim 6, wherein the determining whether the commercial concrete transportation vehicle has abnormal unloading behavior according to the sampling time and the historical unloading time comprises:
calculating the driving-in time and the driving-out time of the business concrete transportation vehicle entering the preset space range;
calculating unloading time of the commercial concrete transportation vehicle according to the driving-in time and the driving-out time;
and if the difference between the unloading time and the historical unloading time exceeds a preset time threshold, judging that the concrete transportation vehicle has abnormal unloading behaviors.
8. A business concrete transportation vehicle real-time management device, comprising:
the sampling module is used for sampling the position information of the commercial concrete transportation vehicle in a preset period to obtain a position information sequence and sampling time of the commercial concrete transportation vehicle;
the residence module is used for determining a residence point sequence of the commercial concrete transportation vehicle according to the position information sequence and the sampling time;
the backtracking module is used for backtracking the travelling path of the commercial concrete transportation vehicle according to the position information sequence and the road network information to obtain an optimal backtracking path;
And the judging module is used for judging whether the concrete transportation vehicle of the manufacturer has abnormal behaviors according to the resident point sequence, the sampling time and the optimal backtracking path.
9. A real-time management device for commercial concrete transportation vehicles is characterized by comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor, coupled to the memory, is configured to execute the program stored in the memory, so as to implement the steps in the method for real-time management of a commercial concrete transportation vehicle according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer readable program or instructions which, when executed by a processor, is capable of carrying out the steps of the method for real-time management of commercial concrete delivery vehicles according to any one of claims 1 to 7.
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