CN111784074B - Real-time traffic line transport capacity monitoring method and device - Google Patents
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Abstract
The application provides a real-time vehicle line transport capacity monitoring method and device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: receiving a real-time traffic line transport capacity monitoring request sent by a monitoring page; responding to the real-time traffic line transport capacity monitoring request, and determining the current monitoring distribution center from a distribution center group; acquiring real-time lane transport capacity information corresponding to the monitoring and allocating center; and displaying the real-time traffic line transport capacity information corresponding to the current monitoring distribution center on the monitoring page. Determining the object of the current monitoring from all the distribution centers in the monitoring range, calling real-time lane transport capacity information corresponding to the current monitoring distribution center and displaying the real-time lane transport capacity information to a user, thereby providing a real-time and visual tool for monitoring and displaying the lane transport capacity; the real-time lane transport capacity information corresponding to one distribution center is displayed each time, so that a user can conveniently master the real-time lane transport capacity of the distribution center and timely adjust vehicle scheduling work.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a real-time lane traffic monitoring method and apparatus, an electronic device, and a computer-readable storage medium.
Background
The lane, i.e., the route of vehicles, is generally referred to in the logistics industry as the route from the starting point to the destination, including the heading and starting and stopping positions. At present, the traffic line capacity is fixed, but the daily cargo capacity is uncertain, particularly in the peak cargo capacity period, the traffic line capacity is seriously insufficient, so that real-time traffic line capacity monitoring data are needed for guiding vehicle scheduling work, and the conventional report system lacks a real-time and visual tool for monitoring and displaying the traffic line capacity.
Disclosure of Invention
The application aims to provide a real-time traffic line transport capacity monitoring method and device, electronic equipment and a computer readable storage medium, and solve the problem that the existing report system lacks a real-time and visual tool for monitoring and displaying the traffic line transport capacity.
The purpose of the application is realized by adopting the following technical scheme:
in a first aspect, the present application provides a real-time lane capacity monitoring method, the method comprising: receiving a real-time traffic line transport capacity monitoring request sent by a monitoring page; responding to the real-time traffic line transport capacity monitoring request, and determining the current monitoring distribution center from a distribution center group; acquiring real-time lane transport capacity information corresponding to the monitoring and allocating center; and displaying the real-time traffic line transport capacity information corresponding to the current monitoring distribution center on the monitoring page. The technical scheme has the advantages that after a real-time traffic line transport capacity monitoring request sent by a user through a monitoring page is received, an object to be monitored at this time is determined from all the distribution centers in a monitoring range, real-time traffic line transport capacity information corresponding to the distribution center to be monitored at this time is called, and the real-time traffic line transport capacity information is displayed to the user on the monitoring page, so that a real-time and visual tool is provided for monitoring and displaying the traffic line transport capacity; because every divides and dials the center and often corresponds a plurality of lines, if provide the real-time lane fortune ability information that a plurality of minute centers of allocating correspond simultaneously, then the corresponding relation between a plurality of minute centers of showing and a plurality of lines can lead to the information that demonstrates too much complicated, is unfavorable for the user to obtain important information fast, consequently shows the real-time lane fortune ability information that a minute center of allocating corresponds at every turn, the user of being convenient for masters the real-time lane fortune ability at this minute center, in time adjust vehicle scheduling work.
In some possible implementation manners, the determining, from the group of allocation centers, the current monitoring allocation center includes: classifying all the allocation centers in the allocation center group into a first class allocation center to an Nth class allocation center according to the attention of a user to each allocation center in the allocation center group, wherein N is a positive integer; acquiring the weight corresponding to each type of distribution center in the distribution center group; determining a kth-class distribution center from the distribution center group according to the weight corresponding to each class of distribution center in the distribution center group, wherein k is a positive integer not greater than N; and determining any one of the k-th class distribution centers as the current monitoring distribution center. The technical scheme has the advantages that all the distribution centers are divided into N types according to the attention of users to the distribution centers, the weight corresponding to each type of distribution center is configured, therefore, when the distribution centers are determined, the type of the distribution centers can be determined firstly according to the corresponding weight, one distribution center is randomly selected in the type of distribution centers with equal probability as a monitoring object, two selection modes of weight selection and random selection are combined, the flow direction prediction of the traffic flow of a certain distribution center is randomly displayed on a monitoring page according to the attention affinity of the users to the distribution centers, the finally determined distribution centers are any distribution center in the category considering the attention of the users, the attention requirements of the users are met, and the requirements of displaying one distribution center each time are met.
In some possible implementation manners, the obtaining of the real-time lane transportation capacity information corresponding to the current monitoring and allocating center includes: respectively acquiring real-time lane transport capacity information corresponding to each distribution center in the distribution center group; acquiring a set of real-time lane transport capacity information corresponding to all the distribution centers in the distribution center group; and acquiring the real-time traffic line transport capacity information corresponding to the current monitoring distribution center from the set. The technical scheme has the advantages that the allocation center to be displayed each time has certain randomness, the allocation center to be displayed cannot be predicted in advance, if various data in the corresponding real-time lane transport capacity information are calculated for the allocation center after the allocation center is determined, real-time response cannot be made to the real-time lane transport capacity request, therefore, a set of the real-time lane transport capacity information corresponding to all the allocation centers can be obtained in advance, and the real-time lane transport capacity information corresponding to the current monitoring allocation center is obtained from the set after the allocation center is determined.
In some possible implementation manners, the respectively obtaining real-time lane transportation capacity information corresponding to each of the dispatch centers in the dispatch center group includes: respectively taking each distribution center in the distribution center group as a first distribution center to obtain all lanes corresponding to the first distribution center; respectively taking each lane of all lanes corresponding to the first distribution center as a first lane, and acquiring first traffic to third traffic of the first lane from the first distribution center to a next distribution center, wherein the first traffic to the third traffic are respectively predicted bill arrival amount, transit cargo amount and reserved warehouse amount; acquiring fourth traffic corresponding to the first lane according to the first traffic to the third traffic corresponding to the first lane; acquiring a service rate corresponding to the first lane according to a fourth traffic volume corresponding to the first lane and standard loading data, wherein the standard loading data corresponding to the first lane is used for indicating a loading cargo volume converted according to a vehicle position corresponding to the first lane; acquiring a bin position state corresponding to the first lane according to the service rate corresponding to the first lane; and determining at least one of first traffic, fourth traffic, traffic rate and bin state corresponding to all the lanes corresponding to the first distribution center as real-time lane transport capacity information corresponding to the first distribution center. The technical scheme has the advantages that the service volume, the service rate and the position state of all the lines corresponding to each distribution center are calculated, and at least one of the data is determined to be used as the real-time line transport capacity information corresponding to the distribution center, wherein the service volume obtained by analyzing the real-time data flow of the cargo volume of the distribution center is dynamically acquired real-time data, so that the service rate obtained by calculating the service volume and the position state obtained by corresponding to the service rate are also dynamically acquired real-time data.
In some possible implementation manners, the obtaining a bin state corresponding to the first lane according to the service rate corresponding to the first lane includes: detecting whether the traffic rate corresponding to the first vehicle line is greater than a first value; if the position is not greater than the first value, determining that the position state corresponding to the first lane is empty; if the traffic rate is greater than the first value, detecting whether the traffic rate corresponding to the first vehicle line is smaller than a second value; if the value is smaller than the second value, determining that the bin position state corresponding to the first lane is normal; and if the value is not less than the second value, determining that the bin position state corresponding to the first lane is a bin explosion. The technical scheme has the beneficial effects that the bin position state corresponding to each lane is determined to be empty bin, normal bin or burst bin.
In some possible implementation manners, the real-time lane transportation capacity information corresponding to the current monitoring allocation center includes a fourth traffic volume and a bin position state corresponding to each lane in all lanes corresponding to the current monitoring allocation center; the displaying of the real-time lane transport capacity information corresponding to the current monitoring distribution center on the monitoring page includes: respectively taking each lane of all lanes corresponding to the current monitoring and allocating center as a second lane, and obtaining a current drawing starting point and a current drawing destination point corresponding to the second lane according to a fourth traffic corresponding to the second lane, wherein the current drawing starting point is the current monitoring and allocating center, and the current drawing destination point is a next allocating center of the second lane behind the current monitoring and allocating center; drawing the second lane on a map according to the drawing starting point and the drawing destination point corresponding to the second lane; identifying a bin state corresponding to the second lane on the map; and displaying the map on the monitoring page. The technical scheme has the advantages that all lines corresponding to the distribution center and the drawing starting and stopping points and the bin position state corresponding to each line are displayed in a map mode, and a user can conveniently and visually know real-time line transport capacity information of the distribution center from the map.
In some possible implementation manners, the drawing the second vehicle line on the map according to the current drawing start point and the current drawing destination point corresponding to the second vehicle line includes: and drawing a connecting line which points from the drawing starting point of the current time corresponding to the second lane to the drawing destination point of the current time corresponding to the second lane on the map as the second lane. The technical scheme has the beneficial effects that the direction between the start and stop points of the drawing is marked on the lane, so that a user can simultaneously acquire the direction information.
In some possible implementations, the bin position state corresponding to the second lane includes an empty bin and an exploded bin; the identifying of the bin state corresponding to the second lane on the map includes: if the bin position state corresponding to the second lane is empty, displaying the second lane on the map by using a first parameter value of a connecting line display parameter; and if the bin position state corresponding to the second lane is a bin explosion, displaying the second lane on the map by using a second parameter value of the connection display parameter. The technical scheme has the beneficial effects that different bin states are identified by using different parameter values of the online display parameters.
In some possible implementations, the join-line display parameter includes at least one of: width, color, brightness, saturation, and contrast of the connecting lines. The technical scheme has the beneficial effects that the bin position state of the lane is displayed through several display parameters with obvious characteristics, so that a user can conveniently identify the condition that the lane is in an empty bin or is exploded.
In some possible implementations, the method further includes: and re-determining the current monitoring distribution center from the distribution center group every preset time. The technical scheme has the advantages that after the real-time traffic line capacity information of one distribution center is displayed, one current monitoring distribution center is determined again as a monitoring object after preset time, so that the real-time traffic line capacity information of a new monitoring object can be obtained and displayed to a user, and the flow direction prediction of the traffic line flow of a certain distribution is displayed on a map in a random refreshing mode according to the attention close degree of the user to the distribution center.
In a second aspect, the present application provides a real-time lane capacity monitoring device, the device comprising: the request receiving module is used for receiving a real-time traffic line transport capacity monitoring request sent by the monitoring page; the allocation determining module is used for responding to the real-time traffic line transport capacity monitoring request and determining the current monitoring allocation center from the allocation center group; the information acquisition module is used for acquiring real-time lane transport capacity information corresponding to the monitoring and allocating center; and the information display module is used for displaying the real-time traffic line transport capacity information corresponding to the monitoring distribution center on the monitoring page.
In some possible implementations, the allocation determination module is configured to: classifying all the allocation centers in the allocation center group into a first class allocation center to an Nth class allocation center according to the attention of a user to each allocation center in the allocation center group, wherein N is a positive integer; acquiring the weight corresponding to each type of distribution center in the distribution center group; determining a kth-class distribution center from the distribution center group according to the weight corresponding to each class of distribution center in the distribution center group, wherein k is a positive integer not greater than N; and determining any allocation center in the kth allocation center as the current monitoring allocation center.
In some possible implementations, the information obtaining module is configured to: respectively acquiring real-time lane transport capacity information corresponding to each distribution center in the distribution center group; acquiring a set of real-time lane transport capacity information corresponding to all the distribution centers in the distribution center group; and acquiring the real-time traffic line transport capacity information corresponding to the current monitoring distribution center from the set.
In some possible implementations, the information obtaining module is further configured to: respectively taking each distribution center in the distribution center group as a first distribution center to obtain all lanes corresponding to the first distribution center; respectively taking each lane of all lanes corresponding to the first distribution center as a first lane, and acquiring first traffic to third traffic of the first lane from the first distribution center to a next distribution center, wherein the first traffic to the third traffic are respectively predicted bill arrival amount, transit cargo amount and reserved warehouse amount; acquiring fourth traffic corresponding to the first lane according to the first traffic to the third traffic corresponding to the first lane; acquiring a service rate corresponding to the first lane according to a fourth traffic volume corresponding to the first lane and standard loading data, wherein the standard loading data corresponding to the first lane is used for indicating a loading cargo volume converted according to a vehicle position corresponding to the first lane; acquiring a bin position state corresponding to the first lane according to the service rate corresponding to the first lane; and determining at least one of first traffic, fourth traffic, traffic rate and bin state corresponding to all the lanes corresponding to the first distribution center as real-time lane transport capacity information corresponding to the first distribution center.
In some possible implementations, the information obtaining module is further configured to: detecting whether the service rate corresponding to the first vehicle line is greater than a first value; if the position is not larger than the first value, determining that the position state corresponding to the first lane is empty; if the traffic rate is greater than the first value, detecting whether the traffic rate corresponding to the first vehicle line is smaller than a second value; if the value is smaller than the second value, determining that the bin position state corresponding to the first lane is normal; and if the value is not less than the second value, determining that the bin position state corresponding to the first lane is a bin explosion.
In some possible implementation manners, the real-time lane transportation capacity information corresponding to the current monitoring allocation center includes a fourth traffic volume and a bin position state corresponding to each lane in all lanes corresponding to the current monitoring allocation center; the information display module is used for: respectively taking each lane of all lanes corresponding to the current monitoring and allocating center as a second lane, and obtaining a current drawing starting point and a current drawing destination point corresponding to the second lane according to a fourth traffic corresponding to the second lane, wherein the current drawing starting point is the current monitoring and allocating center, and the current drawing destination point is a next allocating center of the second lane behind the current monitoring and allocating center; drawing the second lane on a map according to the drawing starting point and the drawing destination point corresponding to the second lane; identifying a bin state corresponding to the second lane on the map; and displaying the map on the monitoring page.
In some possible implementations, the information presentation module is further configured to: and drawing a connecting line which points from the drawing starting point of the current time corresponding to the second lane to the drawing destination point of the current time corresponding to the second lane on the map as the second lane.
In some possible implementations, the bin position state corresponding to the second lane includes an empty bin and an exploded bin; the information display module is further configured to: if the bin position state corresponding to the second lane is empty, displaying the second lane on the map by using a first parameter value of a connecting line display parameter; and if the bin position state corresponding to the second lane is a bin explosion, displaying the second lane on the map by using a second parameter value of the connection display parameter.
In some possible implementations, the link display parameter includes at least one of: width, color, brightness, saturation, and contrast of the connecting lines.
In some possible implementation manners, the allocation determining module is further configured to re-determine the current monitoring allocation center from the allocation center group every predetermined time.
In a third aspect, the present application provides an electronic device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of any of the methods described above.
Drawings
The present application is further described below with reference to the drawings and examples.
Fig. 1 is a schematic flowchart of a real-time traffic line capacity monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a real-time lane traffic monitoring method according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of obtaining real-time lane transportation capacity information according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a process for acquiring a set of real-time lane transportation capacity information according to an embodiment of the present application;
fig. 5 is a schematic flow chart illustrating real-time lane capacity information according to an embodiment of the present disclosure;
fig. 6 is a schematic flowchart of a real-time lane traffic monitoring method according to an embodiment of the present disclosure;
fig. 7 is a schematic flowchart of a real-time lane traffic monitoring method according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a real-time lane traffic monitoring apparatus according to an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a program product for implementing a real-time lane capacity monitoring method according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the present application. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Referring to fig. 1, an embodiment of the present application provides a real-time lane transportation capacity monitoring method, which is applied to occasions where real-time lane transportation capacity needs to be monitored, for example, the method may be used in a logistics industry, a bus system in a city, or a bus system between cities. The method includes steps S101 to S104.
Step S101: and receiving a real-time traffic line transport capacity monitoring request sent by a monitoring page. The monitoring page is used for providing interaction with a user, and the user can enable the monitoring page to initiate the real-time lane capacity monitoring request through operation of the monitoring page. The operation is, for example, clicking a button providing a monitoring function.
Step S102: and responding to the real-time traffic line transport capacity monitoring request, and determining the current monitoring distribution center from the distribution center group. The distribution center group comprises all distribution centers in a monitoring range, and the monitoring range can be a country or a plurality of provincial regions. The distribution center is an economic activity organization for operation of the logistics industry, and is a logistics site integrating multiple functions of processing, tallying, delivering and the like in terms of one aspect.
In some possible implementations, the current monitoring allocation center may be determined using a weighted random algorithm. The weighted random algorithm is illustratively described as follows: there is a set S, in which A, B, C, D items are contained, from which the user wishes to randomly draw one item, but the probabilities of drawing are different, for example, the probability of drawing A is 50%, the probability of drawing B and C is 20%, and the probability of drawing D is 10%, and then different weights can be given to the items, and the probability of drawing each item is proportional to the weight, for example, the weights given to A-D are 50%, 20%, and 10%, respectively, so as to satisfy the user' S requirement.
Specifically, all the allocation centers may be divided into N classes according to the attention of the user to each allocation center, a weight corresponding to each class of allocation center is configured, when the allocation center is determined, the type of the allocation center may be first determined according to the corresponding weight, and one allocation center is randomly selected as the current monitoring object in the class of allocation center with equal probability. The step S102 may include: in response to the real-time lane transport capacity monitoring request, classifying all the allocation centers in the allocation center group into a first class allocation center to an Nth class allocation center according to the attention of a user to each allocation center in the allocation center group, wherein N is a positive integer; acquiring the weight corresponding to each type of distribution center in the distribution center group; determining a kth-class distribution center from the distribution center group according to the weight corresponding to each class of distribution center in the distribution center group, wherein k is a positive integer not greater than N; and determining any allocation center in the kth allocation center as the current monitoring allocation center. Wherein, the attention degree of the user to each distribution center can be maintained to a system database by the user. Therefore, two selection modes of weight selection and random selection are combined, the flow direction prediction of the traffic flow of a certain distribution center is randomly displayed on a monitoring page according to the attention close degree of a user to the distribution center, and the finally determined distribution center is any distribution center in the category considering the attention degree of the user, so that the attention degree requirement of the user is met, and the requirement of displaying one distribution center every time is met.
Referring to fig. 2, N is, for example, 3, so that all the distribution centers of the whole network are classified into 3 classes, for example, a class a, a class B, and a class C according to the user attention, the weight percentage of the class a is, for example, 50%, the percentage of the class B is, for example, 30%, and the percentage of the class C is, for example, 20%, each of the three classes of distribution centers includes a plurality of specific distribution centers, and each distribution center is distributed with the percentage of the class, so that the distribution center X is obtained from the distribution centers of the whole network by using a weighted random algorithm.
Step S103: and acquiring real-time lane transport capacity information corresponding to the monitoring and allocating center.
Because the distribution center displayed each time has certain randomness, the distribution center to be displayed cannot be predicted in advance, if various data in the corresponding real-time lane transport capacity information are calculated for the distribution center after the distribution center is determined, real-time response cannot be made to the real-time lane transport capacity request, in some possible implementation modes, a set of real-time lane transport capacity information corresponding to all the distribution centers can be obtained in advance, and the real-time lane transport capacity information corresponding to the monitoring distribution center is obtained from the set after the distribution center is determined. The step S103 may include: respectively acquiring real-time lane transport capacity information corresponding to each distribution center in the distribution center group; acquiring a set of real-time lane transport capacity information corresponding to all the distribution centers in the distribution center group; and acquiring the real-time traffic line transport capacity information corresponding to the current monitoring distribution center from the set. With continued reference to fig. 2, the set of the real-time lane transportation capacity information is represented by, for example, a set G, and the real-time lane transportation capacity information corresponding to the allocation center X is acquired from the set G.
In some possible implementation manners, the traffic volume, the traffic rate and the bin state of all the lanes corresponding to each allocation center may be calculated, and at least one of the several data is determined as the real-time lane transportation capacity information corresponding to the allocation center. Specifically, referring to fig. 3, the step of respectively acquiring the real-time lane transportation capacity information corresponding to each of the dispatch centers in the dispatch center group may include steps S201 to S206.
Step S201: and respectively taking each distribution center in the distribution center group as a first distribution center to obtain all the lanes corresponding to the first distribution center. And acquiring real-time lane transport capacity information corresponding to each allocation center in the allocation center group, specifically, acquiring corresponding traffic volume, traffic rate and position state of each lane corresponding to each allocation center.
Step S202: and respectively taking each lane of all lanes corresponding to the first distribution center as a first lane, and acquiring first traffic to third traffic of the first lane from the first distribution center to a next distribution center, wherein the first traffic to the third traffic are respectively predicted bill arrival amount, transit cargo amount and reserved warehouse amount. The first to third traffic are obtained, for example, from real-time data in a redis database. The traffic obtained by analyzing the real-time data flow of the distribution center cargo volume is dynamically obtained real-time data, so the traffic rate calculated according to the traffic volume and the bin status correspondingly obtained according to the traffic rate are also dynamically obtained real-time data.
Step S203: and acquiring a fourth traffic corresponding to the first lane according to the first traffic to the third traffic corresponding to the first lane. Specifically, step S203 may include: and calculating the sum of the first traffic volume to the third traffic volume corresponding to the first lane as a fourth traffic volume corresponding to the first lane.
Step S204: and acquiring the service rate corresponding to the first lane according to the fourth traffic volume corresponding to the first lane and standard loading data, wherein the standard loading data corresponding to the first lane is used for indicating the loading cargo volume converted according to the vehicle position corresponding to the first lane. Specifically, step S204 may include: and calculating the quotient of the fourth traffic and the standard loading data corresponding to the first lane as the traffic rate corresponding to the first lane, wherein the unit of the fourth traffic is the same as that of the standard loading data. The unit of the fourth traffic and the unit of the standard loading data may be a unit of weight, for example, may be tonnage.
Step S205: and acquiring the position state corresponding to the first lane according to the service rate corresponding to the first lane.
In some possible implementations, it may be determined that the bin status corresponding to each lane is empty, normal, or burst. The step S205 may include: detecting whether the traffic rate corresponding to the first vehicle line is greater than a first value; if the position is not greater than the first value, determining that the position state corresponding to the first lane is empty; if the traffic rate is larger than the first value, detecting whether the traffic rate corresponding to the first line is smaller than a second value; if the value is smaller than the second value, determining that the bin position state corresponding to the first lane is normal; and if the value is not less than the second value, determining that the bin position state corresponding to the first lane is a bin explosion. The first value is, for example, 0%, and the second value is, for example, 100%.
Step S206: and determining at least one of first traffic, fourth traffic, traffic rate and bin state corresponding to all the lanes corresponding to the first distribution center as real-time lane transport capacity information corresponding to the first distribution center.
In a practical application, referring to fig. 4, the step of acquiring the set of real-time lane transportation capacity information corresponding to all the distribution centers in the distribution center group may include steps S301 to S309.
Step S301: and acquiring data of the whole network distribution center from the real-time redis database, and acquiring the traffic A, B, C corresponding to all lanes corresponding to all the distribution centers. The traffic a to C represent the first traffic to the third traffic, respectively.
Step S302: and summing the traffic A, B, C corresponding to each lane to obtain the traffic D corresponding to the lane. Traffic D represents the fourth traffic.
Step S303: and calculating the traffic rate E (traffic volume D/standard loading data T) of each lane by 100%.
Step S304: and detecting whether E > 0% is met, otherwise executing the step S305, and if so, executing the step S306.
Step S305: and determining that the position state F corresponding to the lane is empty.
Step S306: and detecting whether E < 100% is satisfied, if so, executing step S307, otherwise, executing step S308.
Step S307: and determining that the position state F corresponding to the lane is normal.
Step S308: and determining that the bin position state F corresponding to the lane is a bin explosion.
Step S309: and obtaining a set G of traffic A, B, C, D, a traffic rate E and a bin state F corresponding to all lanes corresponding to all the distribution centers. The set G is used as the whole of the traffic volume a, the traffic volume B, the traffic volume C, the traffic volume D, the traffic rate E and the bin state F, and includes the lane capacity information corresponding to all the allocation centers.
Step S104: and displaying the real-time traffic line transport capacity information corresponding to the current monitoring distribution center on the monitoring page.
In some possible implementation modes, all lanes corresponding to the allocation center and the drawing start and stop points and the bin position state corresponding to each lane can be displayed in a map mode, and a user can conveniently and visually know real-time lane transport capacity information of the allocation center from the map. Specifically, referring to fig. 5, the real-time lane transportation capacity information corresponding to the current monitoring allocation center includes a fourth traffic volume and a bin position state corresponding to each lane in all lanes corresponding to the current monitoring allocation center; the step S104 may include steps S401 to S404.
Step S401: and respectively taking each lane of all lanes corresponding to the current monitoring and allocating center as a second lane, and obtaining a current drawing starting point and a current drawing destination point corresponding to the second lane according to a fourth traffic corresponding to the second lane, wherein the current drawing starting point is the current monitoring and allocating center, and the current drawing destination point is a next allocating center of the second lane behind the current monitoring and allocating center.
Step S402: and drawing the second lane on a map according to the drawing starting point and the drawing destination point corresponding to the second lane.
In some possible implementation manners, the direction between the start point and the stop point of the drawing can be identified on the lane, so that the user can obtain the direction information at the same time. The step S402 may include: and drawing a connecting line which points from the drawing starting point of the current time corresponding to the second lane to the drawing destination point of the current time corresponding to the second lane on the map as the second lane. The line may be a straight line, an arc, a combination of straight lines, a combination of arcs, or a combination of straight and arc lines.
Step S403: and identifying the position state corresponding to the second lane on the map.
In some possible implementations, different bin states may be identified using different parameter values of the inline display parameter. The step S403 may include: if the bin position state corresponding to the second lane is empty, displaying the second lane on the map by using a first parameter value of a connecting line display parameter; and if the bin position state corresponding to the second lane is bin explosion, displaying the second lane on the map by using a second parameter value of the connection display parameter. Wherein the link display parameter may include at least one of: width, color, brightness, saturation, and contrast of the connecting lines. Therefore, the position state of the lane is displayed through a plurality of display parameters with obvious characteristics, and a user can conveniently identify the condition that the lane is in an empty bin or a burst bin. For example, red lane may be used to identify a car burst lane and green lane may be used to identify an empty car lane.
Step S404: and displaying the map on the monitoring page. The monitoring page can use an Echarts map configuration method to realize the monitoring presentation of the traffic capacity of the traffic line.
After receiving a real-time traffic line transport capacity monitoring request sent by a user through a monitoring page, determining a monitored object from all distribution centers in a monitoring range, calling real-time traffic line transport capacity information corresponding to the monitored distribution center, and displaying the real-time traffic line transport capacity information to the user on the monitoring page, thereby providing a real-time and visual tool for monitoring and displaying the traffic line transport capacity; because every divides and dials the center and often corresponds a plurality of lines, if provide the real-time lane fortune ability information that a plurality of minute centers of allocating correspond simultaneously, then the corresponding relation between a plurality of minute centers of showing and a plurality of lines can lead to the information that demonstrates too much complicated, is unfavorable for the user to obtain important information fast, consequently shows the real-time lane fortune ability information that a minute center of allocating corresponds at every turn, the user of being convenient for masters the real-time lane fortune ability at this minute center, in time adjust vehicle scheduling work.
In some possible implementations, referring to fig. 6, the method may further include step S105: and re-determining the current monitoring distribution center from the distribution center group every preset time. Wherein the predetermined time period is a preset time period, for example, 30 s. After the step S105 is executed, the steps S103 to S104 may also be executed to display the newly determined real-time lane transportation capacity information corresponding to the current monitoring and allocating center. After the real-time traffic line transport capacity information of one distribution center is displayed, after a preset time length each time, one current monitoring distribution center is determined again to serve as a monitoring object, so that the real-time traffic line transport capacity information of a new monitoring object can be obtained and displayed to a user, and the flow direction prediction of the traffic line flow of a certain distribution is displayed on a map in a random refreshing mode according to the attention close degree of the user to the distribution center.
Referring to fig. 7, the embodiment of the present application further provides a real-time lane traffic capacity monitoring method, which includes steps S501 to S508.
Step S501: and the user operates on the monitoring page to generate a monitoring request.
Step S502: the monitoring page sends a refresh request to the server every 30s in response to the monitoring request, and the server is used for providing java processing service.
Step S503: the server sends a data request to a redis database in response to the refresh request, requesting the redis data.
Step S504: and responding to the data request by the redis database, calculating the related data of the traffic volume and the transport capacity, and obtaining a lane transport capacity set G.
Step S505: the redis database sends the lane capacity set G to the server.
Step S506: the server obtains the data of the whole network distribution center from the database, the data comprises the attention degree of a user to each distribution center, the weight corresponding to the distribution center with high attention degree is higher, the server carries out a random algorithm according to the weight corresponding to the distribution center to obtain a certain distribution center X, and the probability of obtaining the distribution center X is in direct proportion to the corresponding weight.
Step S507: and the server acquires the real-time traffic line transport capacity information corresponding to the distribution center X from the set G and sends the real-time traffic line transport capacity information to the monitoring page.
Step S508: the monitoring page uses an Echarts map configuration method, the traffic D of the distribution center X is taken to point to the start and stop positions of the lane, the lane transport capacity from the starting point to the destination point is drawn, the freight space state F is taken to mark the lane, if F is a burst cabin, the lane is marked with red warning, if F is an empty cabin, the lane is marked with green warning, and the real-time lane transport capacity information corresponding to the distribution center X is displayed to the user. The monitoring page requests to refresh the lane information every 30 seconds and randomly returns the routing transportation capacity information of a certain distribution center, so that the real-time dynamic monitoring of the lane transportation capacity map is realized.
Referring to fig. 8, an embodiment of the present application further provides a real-time lane capacity monitoring device, where the device includes: the request receiving module 101 is used for receiving a real-time traffic line transport capacity monitoring request sent by a monitoring page; the allocation determining module 102 is configured to determine a current monitoring allocation center from an allocation center group in response to the real-time lane transportation capacity monitoring request; the information acquisition module 103 is configured to acquire real-time lane transportation capacity information corresponding to the current monitoring and allocating center; and the information display module 104 is configured to display the real-time lane transportation capacity information corresponding to the current monitoring allocation center on the monitoring page.
In some possible implementations, the allocation determining module 102 is configured to: classifying all the allocation centers in the allocation center group into a first class allocation center to an Nth class allocation center according to the attention of a user to each allocation center in the allocation center group, wherein N is a positive integer; acquiring the weight corresponding to each type of distribution center in the distribution center group; determining a kth-class distribution center from the distribution center group according to the weight corresponding to each class of distribution center in the distribution center group, wherein k is a positive integer not greater than N; and determining any allocation center in the kth allocation center as the current monitoring allocation center.
In some possible implementations, the information obtaining module 103 is configured to: respectively acquiring real-time lane transport capacity information corresponding to each distribution center in the distribution center group; acquiring a set of real-time lane transport capacity information corresponding to all the distribution centers in the distribution center group; and acquiring the real-time traffic line transport capacity information corresponding to the current monitoring distribution center from the set.
In some possible implementations, the information obtaining module 103 is further configured to: respectively taking each distribution center in the distribution center group as a first distribution center, and acquiring all lanes corresponding to the first distribution center; respectively taking each lane of all lanes corresponding to the first distribution center as a first lane, and acquiring first traffic to third traffic of the first lane from the first distribution center to a next distribution center, wherein the first traffic to the third traffic are respectively predicted bill arrival amount, transit cargo amount and reserved warehouse amount; acquiring fourth traffic corresponding to the first lane according to the first traffic to the third traffic corresponding to the first lane; acquiring a service rate corresponding to the first lane according to a fourth traffic volume corresponding to the first lane and standard loading data, wherein the standard loading data corresponding to the first lane is used for indicating a loading cargo volume converted according to a vehicle position corresponding to the first lane; acquiring a position state corresponding to the first lane according to the service rate corresponding to the first lane; and determining at least one of first traffic volume, fourth traffic volume, traffic rate and position status corresponding to all the lines corresponding to the first distribution center as real-time line transport capacity information corresponding to the first distribution center.
In some possible implementations, the information obtaining module 103 is further configured to: detecting whether the service rate corresponding to the first vehicle line is greater than a first value; if the position is not greater than the first value, determining that the position state corresponding to the first lane is empty; if the traffic rate is greater than the first value, detecting whether the traffic rate corresponding to the first vehicle line is smaller than a second value; if the value is smaller than the second value, determining that the bin position state corresponding to the first lane is normal; and if the value is not less than the second value, determining that the bin position state corresponding to the first lane is a bin explosion.
In some possible implementation manners, the real-time lane transportation capacity information corresponding to the current monitoring allocation center includes a fourth traffic volume and a bin position state corresponding to each lane in all lanes corresponding to the current monitoring allocation center; the information presentation module 104 is configured to: respectively taking each lane of all lanes corresponding to the current monitoring and allocating center as a second lane, and obtaining a current drawing starting point and a current drawing destination point corresponding to the second lane according to a fourth traffic corresponding to the second lane, wherein the current drawing starting point is the current monitoring and allocating center, and the current drawing destination point is a next allocating center of the second lane behind the current monitoring and allocating center; drawing the second lane on a map according to the drawing starting point and the drawing destination point corresponding to the second lane; identifying a bin state corresponding to the second lane on the map; and displaying the map on the monitoring page.
In some possible implementations, the information presentation module 104 is further configured to: and drawing a connecting line which points from the drawing starting point corresponding to the second vehicle line to the drawing destination point corresponding to the second vehicle line on the map as the second vehicle line.
In some possible implementations, the bin position state corresponding to the second lane includes an empty bin and an exploded bin; the information presentation module 104 is further configured to: if the bin position state corresponding to the second lane is empty, displaying the second lane on the map by using a first parameter value of a connecting line display parameter; and if the bin position state corresponding to the second lane is a bin explosion, displaying the second lane on the map by using a second parameter value of the connection display parameter.
In some possible implementations, the link display parameter includes at least one of: width, color, brightness, saturation, and contrast of the connecting lines.
In some possible implementation manners, the allocation determining module 102 is further configured to determine the current monitoring allocation center from the allocation center group again every predetermined time.
Referring to fig. 9, an embodiment of the present application further provides an electronic device 200, where the electronic device 200 includes at least one memory 210, at least one processor 220, and a bus 230 connecting different platform systems.
The memory 210 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)211 and/or cache memory 212, and may further include Read Only Memory (ROM) 213.
The memory 210 further stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 executes the steps of the real-time lane capacity monitoring method in the embodiment of the present application (as shown in fig. 1). Memory 210 may also include a program/utility 214 having a set (at least one) of program modules 215, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may comprise an implementation of a network environment.
Accordingly, the processor 220 can execute the computer programs described above, as well as execute the programs/utilities 214.
The electronic device 200 may also communicate with one or more external devices 240, such as a keyboard, pointing device, Bluetooth device, etc., and may also communicate with one or more devices capable of interacting with the electronic device 200, and/or with any devices (e.g., routers, modems, etc.) that enable the electronic device 200 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interfaces 250. Also, the electronic device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the electronic device 200 via the bus 230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, to name a few.
Embodiments of the present application further provide a computer-readable storage medium, which is used to store a computer program, where the computer program is executed to implement the steps of the real-time lane transportation monitoring method in the embodiments of the present application (as shown in fig. 1). Fig. 10 shows a program product 300 provided by the present embodiment for implementing the method, which may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product 300 of the present invention is not so limited, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Program product 300 may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The foregoing description and drawings are only for purposes of illustrating the preferred embodiments of the present application and are not intended to limit the present application, which is, therefore, to the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present application.
Claims (8)
1. A real-time lane capacity monitoring method, the method comprising:
receiving a real-time traffic line transport capacity monitoring request sent by a monitoring page, wherein the monitoring page is used for providing interaction with a user;
responding to the real-time traffic line transport capacity monitoring request, and determining the current monitoring distribution center from a distribution center group;
acquiring real-time lane transport capacity information corresponding to the monitoring and allocating center;
displaying the real-time lane transport capacity information corresponding to the current monitoring distribution center on the monitoring page;
the acquiring of the real-time traffic line transport capacity information corresponding to the current monitoring and allocating center includes:
respectively acquiring real-time lane transport capacity information corresponding to each distribution center in the distribution center group;
acquiring a set of real-time lane transport capacity information corresponding to all the distribution centers in the distribution center group;
acquiring real-time lane transport capacity information corresponding to the current monitoring and allocating center from the set;
the respectively obtaining real-time lane transport capacity information corresponding to each distribution center in the distribution center group comprises:
respectively taking each distribution center in the distribution center group as a first distribution center, and acquiring all lanes corresponding to the first distribution center;
respectively taking each lane of all lanes corresponding to the first distribution center as a first lane, and acquiring first traffic to third traffic of the first lane from the first distribution center to a next distribution center, wherein the first traffic to the third traffic are respectively predicted bill arrival amount, transit cargo amount and reserved warehouse amount;
acquiring a fourth traffic corresponding to the first lane according to the first traffic to the third traffic corresponding to the first lane;
acquiring a service rate corresponding to the first lane according to a fourth service volume corresponding to the first lane and standard loading data, wherein the standard loading data corresponding to the first lane are used for indicating a loading cargo volume converted according to a vehicle position corresponding to the first lane;
acquiring a position state corresponding to the first lane according to the service rate corresponding to the first lane;
and determining at least one of first traffic, fourth traffic, traffic rate and bin state corresponding to all the lanes corresponding to the first distribution center as real-time lane transport capacity information corresponding to the first distribution center.
2. The real-time lane traffic monitoring method according to claim 1, wherein the determining the current monitoring dispatch center from the dispatch center group comprises:
classifying all the allocation centers in the allocation center group into a first class allocation center to an Nth class allocation center according to the attention of a user to each allocation center in the allocation center group, wherein N is a positive integer;
acquiring the weight corresponding to each type of distribution center in the distribution center group;
determining a kth-class distribution center from the distribution center group according to the weight corresponding to each class of distribution center in the distribution center group, wherein k is a positive integer not greater than N;
and determining any allocation center in the kth allocation center as the current monitoring allocation center.
3. The real-time lane capacity monitoring method according to claim 1, wherein the obtaining of the position status corresponding to the first lane according to the traffic rate corresponding to the first lane comprises:
detecting whether the service rate corresponding to the first vehicle line is greater than a first value;
if the position is not greater than the first value, determining that the position state corresponding to the first lane is empty;
if the traffic rate is greater than the first value, detecting whether the traffic rate corresponding to the first vehicle line is smaller than a second value;
if the value is smaller than the second value, determining that the bin position state corresponding to the first lane is normal;
and if the value is not less than the second value, determining that the bin position state corresponding to the first lane is a bin explosion.
4. The real-time lane carrying capacity monitoring method according to claim 1, wherein the real-time lane carrying capacity information corresponding to the current monitoring allocation center includes a fourth traffic volume and a bin status corresponding to each lane of all lanes corresponding to the current monitoring allocation center;
the displaying of the real-time lane transport capacity information corresponding to the current monitoring distribution center on the monitoring page includes:
respectively taking each lane of all lanes corresponding to the current monitoring and allocating center as a second lane, and obtaining a current drawing starting point and a current drawing destination point corresponding to the second lane according to a fourth traffic corresponding to the second lane, wherein the current drawing starting point is the current monitoring and allocating center, and the current drawing destination point is a next allocating center of the second lane behind the current monitoring and allocating center;
drawing the second lane on a map according to the drawing starting point and the drawing destination point corresponding to the second lane;
identifying a bin state corresponding to the second lane on the map;
and displaying the map on the monitoring page.
5. The real-time lane traffic monitoring method according to claim 4, wherein the step of drawing the second lane on the map according to the drawing start point and the drawing destination point corresponding to the second lane comprises:
and drawing a connecting line which points from the drawing starting point of the current time corresponding to the second lane to the drawing destination point of the current time corresponding to the second lane on the map as the second lane.
6. The real-time lane capacity monitoring method according to claim 4, wherein the bin status corresponding to the second lane includes empty bin and burst bin;
the identifying of the bin state corresponding to the second lane on the map includes:
if the bin position state corresponding to the second lane is empty, displaying the second lane on the map by using a first parameter value of a connecting line display parameter;
and if the bin position state corresponding to the second lane is a bin explosion, displaying the second lane on the map by using a second parameter value of the connection display parameter.
7. The real-time line capacity monitoring method of claim 1, further comprising:
and re-determining the current monitoring distribution center from the distribution center group every preset time.
8. A real-time lane capacity monitoring device, the device comprising:
the system comprises a request receiving module, a monitoring page and a display module, wherein the request receiving module is used for receiving a real-time traffic line transport capacity monitoring request sent by the monitoring page, and the monitoring page is used for providing interaction with a user;
the allocation determining module is used for responding to the real-time traffic line transport capacity monitoring request and determining the current monitoring allocation center from the allocation center group;
the information acquisition module is used for acquiring the real-time lane transport capacity information corresponding to the monitoring distribution center;
the information display module is used for displaying the real-time traffic line transport capacity information corresponding to the current monitoring distribution center on the monitoring page;
the information acquisition module is used for: respectively acquiring real-time lane transport capacity information corresponding to each distribution center in the distribution center group; acquiring a set of real-time lane transport capacity information corresponding to all the distribution centers in the distribution center group; acquiring real-time lane transport capacity information corresponding to the current monitoring and allocating center from the set;
the information acquisition module is further configured to: respectively taking each distribution center in the distribution center group as a first distribution center, and acquiring all lanes corresponding to the first distribution center; respectively taking each lane of all lanes corresponding to the first distribution center as a first lane, and acquiring first traffic to third traffic of the first lane from the first distribution center to a next distribution center, wherein the first traffic to the third traffic are respectively predicted bill arrival amount, transit cargo amount and reserved warehouse amount; acquiring fourth traffic corresponding to the first lane according to the first traffic to the third traffic corresponding to the first lane; acquiring a service rate corresponding to the first lane according to a fourth service volume corresponding to the first lane and standard loading data, wherein the standard loading data corresponding to the first lane are used for indicating a loading cargo volume converted according to a vehicle position corresponding to the first lane; acquiring a bin position state corresponding to the first lane according to the service rate corresponding to the first lane; and determining at least one of first traffic, fourth traffic, traffic rate and bin state corresponding to all the lanes corresponding to the first distribution center as real-time lane transport capacity information corresponding to the first distribution center.
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| US7165105B2 (en) * | 2001-07-16 | 2007-01-16 | Netgenesis Corporation | System and method for logical view analysis and visualization of user behavior in a distributed computer network |
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| CN101315731A (en) * | 2008-07-17 | 2008-12-03 | 上海途锐信息技术有限公司 | System for implementing vehicle monitoring scheduling by GPS intelligent vehicle mounted terminal |
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