CN110837994A - Intelligent transportation method and system - Google Patents
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Abstract
The invention provides an intelligent transportation system, comprising: underground transportation pipelines, overground transportation lines and transportation devices. A cavity structure for placing goods is arranged in the transportation device; a foot pedal device for a person to stand is arranged right above the bed. The transportation device further comprises: microprocessor, instruction receiving module, driving control module. The instruction receiving module is used for monitoring whether a transportation instruction is received in real time; if yes, the microprocessor is used for acquiring a transportation departure place and a transportation destination; and judging whether the person/object to be transported is positioned on the transportation device or not after the transportation device arrives at the transportation starting place. The driving control module is used for controlling the transportation device to start from the underground transportation pipeline and automatically drive to a transportation starting place; and generating a ground route plan and controlling the transportation device to automatically travel to the transportation destination according to the route plan. Compared with the prior art, the intelligent transportation method can form intelligent, convenient and high-automation-degree transportation service.
Description
Technical Field
The invention relates to the technical field of intelligent transportation systems, in particular to an intelligent transportation method and system.
Background
Along with the rapid development of science and technology, to the requirement of the process and the instrument of transportation more and more high, current express delivery commodity circulation is after reaching the collection and distribution point, adopts small-size express delivery transport vechicle to transport, relatively consumes the manpower, and this small-size express delivery transport vechicle only can transport goods moreover and can not transport the people.
For example, in the prior art, the invention with application publication number CN 109426928A provides a logistics intelligent box, a transportation device, a transportation system and a working method, which can effectively utilize transportation capacity resources and solve the problem of wasting of cargo compartment space resources; the transportation system and the working method can initiate the getting-on and/or getting-off requests in advance based on the data of the logistics intelligent boxes, realize the arrangement of manpower and material resources in advance for fast loading and/or unloading, and improve the efficiency.
However, the above technical solutions have the following disadvantages: the research is only carried out aiming at the resource allocation in the process of cargo transportation, the combination of personnel transportation and cargo transportation cannot be realized, and the research is not carried out by utilizing underground pipeline resources, so that the problem of the current traffic pressure is solved.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent transportation method and system, namely an underground pipeline transportation channel system, which can form an intelligent, convenient and high-automation-degree transportation service method and system, thereby achieving the purpose of further facilitating the life of users.
In order to achieve the above object, the present invention provides an intelligent transportation method, which is based on an intelligent transportation system, and the intelligent transportation system comprises: underground transportation pipelines, transportation devices, and above-ground transportation routes; the method comprises the following steps:
s110: the intelligent transportation system monitors whether a transportation instruction is received in real time;
s120: if so, acquiring transportation information of a transportation departure place and a transportation destination;
s130: controlling a transportation device to start from an underground transportation pipeline and travel to the transportation starting place according to the acquired transportation information;
s140: after the transportation device arrives at the transportation departure place, judging whether the people/objects needing to be transported are positioned on the transportation device or not;
s150: and if so, generating a corresponding aboveground route plan according to the transportation starting place and the transportation destination, and controlling the transportation device to drive to the transportation destination according to the route plan.
Preferably, the process of step S130 specifically includes:
s131: acquiring all first transportation devices with the distance to the transportation departure place within a preset scheduling distance range according to the transportation departure place;
s132: calling out a second transportation device which is closest to the first transportation device, has the highest electric quantity or has the least transportation times;
s133: and controlling the second transportation device to automatically travel to the transportation departure place from the underground pipeline.
Preferably, the process of step S140 specifically includes:
s141: after the transportation device arrives at the transportation departure place, controlling the transportation device to start a corresponding identification function to obtain an identification result;
s142: judging whether the identification result is matched with a reference identification result which is pre-input in the system by a user sending a transportation instruction; if yes, go to step S143; if not, go to step S144;
s143: starting the cargo loading/weighing function of the transportation device; and goes to step S146;
s144: entering a system database for comparison, and judging whether the member exists in the database; if yes, return to step S143; if not, go to step S145;
s145: entering an alarm system, and listing the user corresponding to the identification result in a blacklist;
s146: when the weight sensor arranged at the bottom of the transportation device acquires that the weight of the transportation device changes, defining a judgment result that a person/object to be transported is located on the transportation device; otherwise, defining the judgment result that the person/object needing to be transported is not positioned on the transporting device.
Preferably, the route planning mode includes: the route planning with the shortest distance, the route planning with the shortest driving time, the route planning with the largest road, the route planning with the minimum traffic flow and the self-defined route planning.
Preferably, the intelligent transportation method further comprises the following steps:
s160: after the transportation device arrives at the transportation destination, judging whether the person/thing leaves the transportation device;
s170: and if so, calculating the corresponding fee to be paid according to the transportation information.
Preferably, the intelligent transportation method further comprises the following steps:
s180: monitoring and acquiring the real-time electric quantity of the transportation device;
s190: and controlling the transportation device to execute corresponding charging actions according to the real-time electric quantity.
In order to achieve the above object, the present invention also provides an intelligent transportation system, including: underground transportation pipelines, overground transportation lines and transportation devices;
wherein, a cavity structure is arranged in the transportation device and is used for placing goods; a pedal device is arranged right above the base for a person to stand on; the transportation device is further provided with: the system comprises a microprocessor, an instruction receiving module, an identification module, an infrared sensing module and a driving control module;
the instruction receiving module is electrically connected with the microprocessor and used for monitoring whether a transportation instruction is received in real time; the microprocessor is used for acquiring transportation information of a transportation departure place and a transportation destination when the instruction receiving module monitors and receives a transportation instruction in real time; and judging whether the person/object to be transported is positioned on the transporting device or not after the transporting device arrives at the transporting departure place; the running control module is electrically connected with the microprocessor and used for controlling the transportation device to automatically run to the transportation starting place from an underground transportation pipeline according to the acquired transportation information; generating a corresponding ground route plan according to the transportation starting place and the transportation destination, and controlling the transportation device to automatically drive to the transportation destination according to the route plan;
the identification module is arranged right in front of the transportation device and used for identifying whether the identification results of the user at the transportation departure place and the ordering user are matched or not; the infrared sensing module is arranged on the outer surface of the transportation device and used for sensing the distance between the transportation device and an external obstacle.
Preferably, the travel control module includes: the system comprises an acquisition unit, a scheduling unit and a driving control unit;
the acquisition unit is used for acquiring all first transportation devices with the distance to the transportation departure place within a preset scheduling distance range according to the transportation departure place;
the scheduling unit is used for scheduling a second transportation device which is closest to the first transportation device, has the highest electric quantity or has the least transportation times;
and the driving control unit is used for controlling the second transportation device to automatically drive to the transportation starting place from an underground pipeline.
Preferably, the microprocessor specifically includes: the device comprises a face recognition control unit, a judgment unit, a weighing starting unit, a data comparison unit, an alarm unit and a definition unit;
the face recognition control unit is used for controlling a face recognition module arranged in front of the transportation device to start a face recognition function after the transportation device arrives at the transportation departure place;
the judging unit is used for judging whether the face images of the user identified by the face are matched with the face image of the user sending the transportation instruction;
the weighing starting unit is used for starting the cargo loading/weighing function of the transportation device when the judging unit judges that the face image of the user identified by the face is matched with the face image of the user sending the transportation instruction, or when the data comparing unit judges that the member does not exist in the database;
the data comparison unit is used for entering a system database for comparison when the judging unit judges that the face image of the user identified by the face is not matched with the face image of the user sending the transportation instruction, and judging whether the member exists in the database or not;
the alarm unit is used for entering an alarm system and listing the face recognition result in a blacklist when the data comparison unit judges that the member does not exist in the database;
the defining unit is used for defining the judgment result that the person/object to be transported is located on the transportation device when the weight sensor arranged at the bottom of the transportation device obtains that the weight of the transportation device changes; otherwise, defining the judgment result that the person/object needing to be transported is not positioned on the transporting device.
Preferably, the route planning mode includes: the route planning with the shortest route, the route planning with the shortest driving time, the route planning with the largest road and the self-defined route planning.
Preferably, the intelligent transportation system further comprises: a charging module;
the microprocessor is also used for judging whether the person/thing leaves the transportation device or not after the transportation device reaches the transportation destination;
and the charging module is electrically connected with the microprocessor and used for calculating corresponding fees to be paid according to the transportation information when the microprocessor judges that the person/thing leaves the transportation device.
Preferably, the intelligent transportation system further comprises: an electric quantity monitoring module;
the electric quantity monitoring module is used for monitoring and acquiring the real-time electric quantity of the transportation device;
the driving control module is electrically connected with the electric quantity monitoring module and is also used for controlling the transportation device to execute corresponding charging actions according to the real-time electric quantity.
The intelligent transportation method and the intelligent transportation system have the beneficial effects that: 1. the intelligent, convenient and high-automation-degree transportation service method and system can be formed; 2. the underground pipeline can be used for transportation, so that the road congestion situation is relieved; 3. people or transported objects can be transported or people and objects can be transported simultaneously, so that the purpose of further facilitating the life of users is achieved.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of the intelligent transportation method of the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of the intelligent transportation method of the present invention;
FIG. 3 is a schematic flow chart of a third embodiment of the intelligent transportation method of the present invention;
FIG. 4 is a schematic diagram of the structure of the intelligent transportation system of the present invention;
FIG. 5 is a schematic diagram of program modules of the transportation device in the first embodiment of the intelligent transportation system of the present invention;
FIG. 6 is a schematic diagram of program modules of a transporter in a second embodiment of the intelligent transportation system of the present invention;
fig. 7 is a schematic diagram of program modules of the transportation device in the third embodiment of the intelligent transportation system of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings of the specification, it being understood that the preferred embodiments described herein are merely for illustrating and explaining the present invention, and are not intended to limit the present invention, and that the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
The invention provides a first embodiment of an intelligent transportation method. The intelligent transportation method is executed on an intelligent transportation system, and the intelligent transportation system comprises the following steps: underground transportation pipelines, overground transportation lines and transportation devices. The shape and the radius of the pipeline of the underground transportation pipeline can be set according to the size of the intelligent transportation device, and in addition, the underground transportation device is arranged according to the specific planning of a city. The underground transportation pipeline is different from the congestion, long route and complex environment of ground transportation, and can realize high-efficiency transportation, namely, the situations of traffic jam and the like can not occur; on the other hand the underground transportation pipeline also has an upgrading space, and can adapt to various transportation modes such as various transportation devices, high speed, low speed, heavy load and the like.
Wherein, the conveyer possesses the transportation function: the device can carry goods and/or people, can move in an underground transportation pipeline, and can realize the transfer function of substances from a place to a place on the ground; but also can be butted with each node in the intelligent transportation system to realize the interaction of information and substances. The transportation device is fixedly arranged from the underground transportation pipeline to the ground, and a ground service platform which is similar to an elevator and has a lifting function is arranged on the ground; the ground service desks can be uniformly distributed in cities, and the corresponding number of the ground service desks is distributed according to the population density of the cities.
The transportation device arrives at the ground service counter nearest to the transportation starting place through the underground transportation pipeline, enters the ground, and then arrives at the transportation destination through the ground transportation route. The ground service desk is not only responsible for the conveyer in the pipeline to transmit out ground, but also can be connected with an intelligent transportation network to obtain relevant information and service. The transportation device terminal can receive corresponding instructions and feed back information. Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of the intelligent transportation method according to the present invention. In a first embodiment, the intelligent transportation method comprises the steps of:
s110: the intelligent transportation system monitors whether a transportation instruction is received in real time.
In this embodiment, the user fills in transportation information such as a transportation starting place and a transportation destination to be transported on the App bound to the intelligent transportation system, and clicks options such as "call" or "order" on the App after the filling is completed, and then sends out the transportation instruction. Wherein the transportation instruction comprises the following steps: freight transportation instructions, people transportation instructions, and people and freight transportation instructions. For example: the user fills in a transporter (character transport instruction) on the App, and a transport starting place: an outlet of a western subway station A; a transportation destination: the south gate of the peach source residential area.
S120: and if so, acquiring the transportation information of the transportation starting place and the transportation destination.
In this embodiment, the intelligent transportation system immediately acquires the corresponding transportation information from information filled in by the user on the App. For example, it can be obtained from the example that the transportation starting place is an exit of a western and rural subway station a, and the transportation destination is a south gate of a peach-source residential district.
S130: and controlling the transportation device to start from an underground transportation pipeline and travel to the transportation starting place according to the acquired transportation information.
In this embodiment, the process of step S130 specifically includes:
s131: and acquiring all first transportation devices with the distance to the transportation departure place within a preset scheduling distance range according to the transportation departure place.
The preset scheduling distance range is specifically set by an administrator of the intelligent transportation system, and may be set as: 1km, 2km, 3km, or 5 km; preferably 2km, so that the distance is short, the dispatch speed is fast, and the number of covered first transportation devices can be ensured to be large.
S132: and calling out a second transportation device which is closest to the first transportation device, has the highest electric quantity or has the least transportation times.
In the step, specific selection can be carried out according to the preference of the user, and if the user selects the second transportation device with the highest electric quantity in the first transportation device, the second transportation device with the highest electric quantity in the first transportation device is dispatched; and if the user does not specifically select or set, the intelligent transportation system defaults to dispatching a second transportation device closest to the first transportation device.
S133: and controlling the second transportation device to automatically travel to the transportation departure place from the underground pipeline.
In this embodiment, according to the transportation starting place, the second transportation device is controlled to transport through an underground transportation pipeline, enter the ground through a ground service platform closest to the transportation starting place, and then advance to the transportation starting place.
S140: and after the transportation device arrives at the transportation starting place, judging whether the person/object needing to be transported is positioned on the transportation device.
In this embodiment, the process of step S140 specifically includes:
s141: and after the transportation device arrives at the transportation departure place, controlling the transportation device to start a corresponding identification function to obtain an identification result.
In this step, the identification functions include, but are not limited to: a face recognition function, a pupil recognition function, a gait recognition function, a fingerprint recognition function, a voiceprint recognition function, and a password recognition function. In the present invention, a face recognition function is preferable.
When the face recognition function is started, a face recognition module is arranged in front of the transportation device, and the face recognition function is started to match and compare the face image of the user currently located at the transportation departure place with the face image of the next user.
S142: judging whether the identification result is matched with a reference identification result which is pre-input in the system by a user sending a transportation instruction; if yes, go to step S143; if not, the process proceeds to step S144.
In the step, after the face recognition function is adopted, if the matching degree of the face image of the user identified by the face and the face image of the user sending the transportation instruction is greater than the preset matching degree, the judgment result is yes; otherwise, the judgment result is negative. The preset matching degree is specifically set by an administrator of the intelligent transportation system, and may be set as: 90%, 93%, 95%, or 98%, preferably the predetermined match is set to 95%
S143: starting the cargo loading/weighing function of the transportation device; and proceeds to step S146.
When the transportation device transports goods, there are two situations, case one: goods are transported and loaded in an underground transportation pipeline through a mechanical arm; case two: after the user places an order at the ground transportation starting place, the corresponding goods are placed on the transportation load.
S144: entering a system database for comparison, and judging whether the member exists in the database; if yes, return to step S143; if not, the process proceeds to step S145.
S145: entering an alarm system, and listing the user corresponding to the identification result in a blacklist;
in the step, the user corresponding to the face recognition result is listed in a blacklist, so that the unregistered and ordered personnel are prevented from using the account numbers of other people to transport goods or people, and the aim of ensuring the normal use of the user is fulfilled.
S146: when the weight sensor arranged at the bottom of the transportation device acquires that the weight of the transportation device changes, defining a judgment result that a person/object to be transported is located on the transportation device; otherwise, defining the judgment result that the person/object needing to be transported is not positioned on the transporting device.
In this step, the weight change is defined as: and the difference value obtained by subtracting the original weight of the transportation device from the first weight of the transportation device monitored by starting the loading/weighing function is larger than a preset reference value. The preset reference value may be: 5g, 10g, or 20 g. By setting the preset reference value, the weight change caused by the self loss of the transportation device is prevented from being mistakenly considered as that a person/object needing to be transported is positioned on the transportation device.
S150: and if so, generating a corresponding aboveground route plan according to the transportation starting place and the transportation destination, and controlling the transportation device to drive to the transportation destination according to the route plan.
In this embodiment, the route planning mode includes: the route planning with the shortest distance, the route planning with the shortest driving time, the route planning with the largest road, the route planning with the minimum traffic flow and the self-defined route planning. Wherein, the major road is defined as a road with at least three lanes and the traffic light density lower than 1/2 km. And the self-defined route planning is to plan the route according to the self setting of the user. The user can preset on the App according to own preference, and if the user does not set, the intelligent transportation system defaults to select the route planning with the shortest route.
The invention provides a second embodiment of an intelligent transportation method. Referring to fig. 2, fig. 2 is a schematic flow chart of a second embodiment of the intelligent transportation method of the present invention. This second embodiment is improved on the basis of the first embodiment described above, and is improved in that the intelligent transportation method further includes the steps of:
s160: and after the transportation device arrives at the transportation destination, judging whether the person/thing leaves the transportation device.
In this embodiment, when the weight measured by the weight sensor is restored to the original weight of the transportation device again, the result of the determination is that the person/thing has left the transportation device; otherwise, the result is that the person/thing does not leave the transportation device.
S170: and if so, calculating the corresponding fee to be paid according to the transportation information.
In this embodiment, the specific charge may be made according to the transportation route, the weight of the transported item, the consumed electric power, or any combination of the above three. The specific setting is that the administrator of the intelligent transportation system sets the charging standard according to different areas. For example: the charging standard of the area A is to charge according to the length of the route, and the charging standard specifically set in the area is 1 yuan/km; and if the transport distance of the currently transported goods is 4.5 kilometers, the calculated fee to be paid is 4.5 yuan. At this time, the user can complete the intelligent transportation process by making corresponding payment on the App.
The invention provides a third embodiment of an intelligent transportation method. Referring to fig. 3, fig. 3 is a schematic flow chart of a third embodiment of the intelligent transportation method of the present invention. This third embodiment is improved on the basis of the second embodiment described above, and is improved in that the intelligent transportation method further includes the steps of:
s180: and monitoring and acquiring the real-time electric quantity of the transportation device.
In this embodiment, an electric quantity monitoring module is arranged inside the transportation device, and the electric quantity of the transportation device can be monitored in real time.
S190: and controlling the transportation device to execute corresponding charging actions according to the real-time electric quantity.
In this embodiment, can be according to the current residual capacity control of conveyer the conveyer gets into corresponding underground and fills electric pile service point and charge. For example, if the real-time electric quantity of the transportation device is lower than a preset electric quantity threshold value, the transportation device is controlled to charge an underground charging pile service point closest to the transportation device; and if the real-time electric quantity of the transportation device is higher than a preset electric quantity threshold value, controlling the transportation device to enter a place with abundant service points of the underground charging pile for charging. The preset electric quantity threshold is specifically set by an administrator of the intelligent transportation system, and may be set as: 50%, 45%, 40%, or 35%, preferably 35%. Through the implementation mode, the intelligent transportation method can be further perfected.
The intelligent transportation method provided by the first embodiment, the second embodiment and the third embodiment is suitable for three application scenarios; respectively transporting people and objects, and simultaneously transporting people and objects. These three application scenarios are generally described below.
Scene one, a transportation device is responsible for article transportation: after the intelligent transportation system receives a transportation instruction of transporting goods, the transportation device is controlled to execute transportation action, the proper transportation device carries out underground rapid transportation through an underground transportation pipeline, the transportation device with goods is transmitted to a ground service platform which is closest to a target place, and the transportation device is transmitted to the ground through the ground service platform. The transport device transports the goods to a transport destination according to the route which is firstly analyzed, planned and selected, and returns to a corresponding service point after the goods are transported and confirmed. In another case, after the intelligent transportation system receives a transportation instruction for transporting goods, the intelligent transportation system controls the transportation device to carry out underground rapid transportation through an underground transportation pipeline, the intelligent transportation system enters the ground from a ground service desk closest to a transportation starting place, after goods loading is completed, the transportation device carries out transportation according to a route which is analyzed, planned and selected at first, transports the goods to a transportation destination, and returns to a corresponding service point after transportation confirmation is carried out.
Scene two, transportation of the person in charge of the transportation device: and after the intelligent transportation system receives the transportation instruction of the transporter, controlling the transportation device to execute the transportation action, and sending a proper transportation device to transmit the transportation device to the transportation departure place for transportation through the ground service platform according to the analysis of the intelligent transportation method. The transportation device sends back the corresponding service points after arriving at the transportation destination according to the first analyzed, planned and selected route.
Scene three, the transportation device is responsible for the transportation of people and articles: after the intelligent transportation system receives a transportation instruction of a transporter, the transportation device is controlled to execute transportation action, the transportation device carries out underground rapid transportation, the transportation device with goods is transmitted to a ground service desk nearest to a user, and the transportation device is transmitted to the ground through the ground service desk. The transportation device arrives at the user request position according to the first analyzed, planned and selected route, carries out transportation instead of walk, and arrives at the destination according to the established plan. And if the destinations of the people and the objects are consistent, completing the transportation. If not, the destination of the target person is reached first, and then the destination of the target person is reached according to the planned route. And returning the corresponding service point according to the final destination. Under another condition, people and goods are all waiting to be carried at the place of departure of transportation, and when the intelligent transportation system received the transportation instruction of transporting people and goods this moment, empty cargo transportation device execution transportation action of control was unloaded to the conveyer, and the conveyer carries out underground rapid transit and passes through ground service platform transmission to ground. The transportation device arrives at the position requested by the user according to the first analyzed, planned and selected route, carries out transportation and cargo loading, arrives at the transportation destination according to the established plan, and returns to the corresponding service point according to the transportation destination.
Through the implementation mode of the Internet of things, the nodes of all intelligent transportation methods can be contacted, fed back and regulated, so that the intelligent intellectualization of the transportation process is realized.
To achieve the above objects, the present invention also provides a first embodiment of an intelligent transportation system 100. Fig. 4 is a schematic structural diagram of the intelligent transportation system of the present invention. The intelligent transportation system 100 includes: underground transport pipe 110, transport means 120, above ground transport route 130. The underground transportation pipelines 110 can be arranged according to the specific plan of a city, and the underground transportation pipelines 110 are different from congestion, long routes and complex environments of ground transportation, and can realize high-efficiency transportation; on the other hand, the underground transportation pipeline 110 further has an upgrade space, and can be adapted to various transportation devices 120 and various transportation modes (high speed, low speed, heavy load, etc.).
Wherein, the transportation device 120 has a transportation function: can carry goods and/or people, can move in the underground transportation pipeline 110, and can realize the transmission function of substances from place to place on the ground; but also can be butted with each node in the intelligent transportation system 100 to realize the interaction of information and substances. The transportation device 120 is fixedly arranged from the underground transportation pipeline to the ground, and is provided with a ground service platform similar to an elevator and having a lifting function; the ground service desks can be uniformly distributed in cities, and the corresponding number of the ground service desks is distributed according to population passwords of the cities.
The transportation device 120 arrives at the ground service counter nearest to the origin of transportation through the underground transportation pipe 110, enters the ground, and then arrives at the destination of transportation through the above-ground transportation route 130. The ground service desk is not only responsible for the conveyer in the pipeline to transmit out ground, but also can be connected with an intelligent transportation network to obtain relevant information and service. The terminal of the transportation device 120 can receive corresponding instructions and feed back information.
Referring to fig. 5, fig. 5 is a schematic diagram of program modules of the transportation device in the first embodiment of the intelligent transportation system of the present invention. The shape of the transportation device 120 is similar to that of a sweeping robot. A cavity structure is arranged inside the transportation device 120 and used for placing goods; a pedal device is arranged right above the chair for people to stand on. The transportation device 120 is further provided with: the system comprises an instruction receiving module 121, a microprocessor 1222, a driving control module 123, an infrared sensing module 124 and a face recognition module 125. The instruction receiving module 121 is electrically connected to the microprocessor 122, and is configured to monitor whether a transportation instruction is received in real time. The microprocessor 122 is configured to obtain transportation information of a transportation departure place and a transportation destination when the instruction receiving module 121 monitors in real time that a transportation instruction is received; and judging whether the person/thing to be transported is located on the transporting device after the transporting device 120 arrives at the origin of transportation. The driving control module 123 is electrically connected to the microprocessor 122, and is configured to control the transportation device 120 to start from an underground transportation pipeline and automatically drive to the transportation starting location according to the acquired transportation information. And generating a corresponding ground route plan according to the transportation starting place and the transportation destination, and controlling the transportation device 120 to automatically travel to the transportation destination according to the route plan. The recognition module (recognition functions including, but not limited to, a face recognition function, a pupil recognition function, a gait recognition function, a fingerprint recognition function, a voiceprint recognition function, and a password recognition function. in the present invention, a face recognition function is preferred, since the face recognition function is preferably employed in the present invention, the recognition module is a face recognition module) 125 is disposed right in front of the transportation means 120, for recognizing whether the face images of the user at the transportation departure place and the next user are matched; the infrared sensing module 124 is disposed on an outer surface of the transportation device 120, and is configured to sense a distance between the transportation device 120 and an external obstacle. Wherein the face recognition module 125 comprises one, two, or more panoramic cameras; preferably set to include 6 panoramic cameras. In addition, the command receiving module 121, the microprocessor 122, and the driving control module 123 are disposed inside the transportation device 120 and integrated on a control chip.
In this embodiment, the user fills in transportation information such as a transportation starting place and a transportation destination to be transported on an App bound to the intelligent transportation system 100, and clicks options such as "call" or "order" on the App after the filling is completed, and then sends out the transportation instruction. The transportation instruction comprises the following steps: freight transportation instructions, people transportation instructions, and people and freight transportation instructions. For example: the user fills in a transporter (character transport instruction) on the App, and a transport starting place: an outlet of a western subway station A; a transportation destination: the south gate of the peach source residential area.
In this embodiment, the microprocessor 122 of the intelligent transportation system 100 immediately acquires the corresponding transportation information from the information filled in by the user on the App. For example, it can be obtained from the example that the transportation starting place is an exit of a western and rural subway station a, and the transportation destination is a south gate of a peach-source residential district.
In this embodiment, the travel control module 130 includes: the system comprises an acquisition unit, a scheduling unit and a running control unit. The obtaining unit is used for obtaining all first transportation devices with the distance to the transportation departure place within a preset scheduling distance range according to the transportation departure place. The scheduling unit is used for scheduling a second transportation device which is closest to the first transportation device, has the highest electric quantity or has the least transportation times. And the driving control unit is used for controlling the second transportation device to automatically drive to the transportation starting place from an underground pipeline.
The preset scheduling distance range is specifically set by an administrator of the intelligent transportation system 100, and may be set as: 1km, 2km, 3km, or 5 km; preferably 2km, so that the distance is short, the dispatch speed is fast, and the number of covered first transportation devices can be ensured to be large.
The scheduling unit can perform specific scheduling according to the preference of the user, and if the user selects the second transportation device with the highest electric quantity in the first transportation devices, the second transportation device with the highest electric quantity in the first transportation devices is scheduled; and if the user does not specifically select or set, the intelligent transportation system defaults to dispatching a second transportation device closest to the first transportation device.
Wherein the driving control unit controls the second transportation device to go to the ground through an underground transportation pipe according to the transportation departure place and to advance to the transportation departure place.
In this embodiment, the microprocessor 122 specifically includes: the device comprises an identification control unit, a judgment unit, a weighing starting unit, a data comparison unit, an alarm unit and a definition unit. The identification control unit is configured to control the transportation device 120 to start a corresponding identification function after the transportation device 120 arrives at the transportation departure location, so as to obtain an identification result. And the judging unit is used for judging whether the identification result is matched with a reference identification result which is pre-input in the system by a user sending a transportation instruction. The weighing starting unit is configured to start a cargo loading/weighing function of the transportation device 120 when the determining unit determines that the identification result matches a reference identification result pre-entered in the system by a user who sends a transportation instruction. And the data comparison unit is used for entering a system database for comparison when the judgment unit judges that the identification result is not matched with a reference identification result which is pre-recorded in the system by a user sending a transportation instruction, and judging whether the member exists in the database. And the alarm unit is used for entering an alarm system and listing the user corresponding to the face recognition result into a blacklist when the data comparison unit judges that the member does not exist in the database. The defining unit is configured to define, when the weight sensor disposed at the bottom of the transportation device 120 obtains that the weight of the transportation device changes, that the person/object to be transported is located on the transportation device as a determination result; otherwise, defining the judgment result that the person/object needing to be transported is not positioned on the transporting device.
In this embodiment, because a face recognition function is preferred, a face recognition module is disposed in front of the transportation device, and the face recognition function is turned on to match and compare a user currently located at a transportation departure place with a face image of a next user.
In this embodiment, after the face recognition function is adopted, if the matching degree between the face image of the user identified by the face and the face image of the user who sends the transportation instruction is greater than the preset matching degree, the judgment result is yes; otherwise, the judgment result is negative. The preset matching degree is specifically set by an administrator of the intelligent transportation system, and may be set as: 90%, 93%, 95%, or 98%, preferably the predetermined match is set to 95%
In this embodiment, when the transportation device 120 transports goods, there are two situations, namely: goods are transported and loaded in an underground transportation pipeline through a mechanical arm; case two: after the user places an order at the ground transportation starting place, the corresponding goods are placed on the transportation load.
In this embodiment, the user corresponding to the face recognition result is listed in the blacklist, so that the unregistered and ordered personnel are prevented from using the account of another person to transport goods or people, and the purpose of ensuring normal use of the user is achieved.
Wherein the weight change is defined as: and the difference value obtained by subtracting the original weight of the transportation device from the first weight of the transportation device monitored by starting the loading/weighing function is larger than a preset reference value. The preset reference value may be: 5g, 10g, or 20 g. By setting the preset reference value, it is prevented that the person/object which is mistakenly regarded as needing to be transported is located on the transportation device 120 due to the weight change caused by the self-loss of the transportation device 120.
In this embodiment, the route planning mode includes: the route planning with the shortest distance, the route planning with the shortest driving time, the route planning with the largest road, the route planning with the minimum traffic flow and the self-defined route planning. Wherein, the major road is defined as a road with at least three lanes and the traffic light density lower than 1/2 km. And the self-defined route planning is to plan the route according to the self setting of the user. The user can preset on the App according to the preference of the user, and if the user does not set, the intelligent transportation system 100 defaults to select the route planning with the shortest route.
The present invention provides a second embodiment of an intelligent transportation system 100. Referring to fig. 6, fig. 6 is a schematic diagram of program modules of the transportation device in the second embodiment of the intelligent transportation system of the present invention. The second embodiment is improved on the basis of the first embodiment, and is improved in that the transportation device 120 further includes: a billing module 126. The microprocessor 122 is further configured to determine whether the person/thing has left the transportation device 120 after the transportation device 120 arrives at the transportation destination. The billing module 126 is electrically connected to the microprocessor 122, and is configured to calculate a corresponding fee to be paid according to the transportation information when the microprocessor 122 determines that the person/thing has left the transportation device 120.
In this embodiment, when the weight measured by the weight sensor is restored to the original weight of the transportation device 120 again, the microprocessor 122 determines that the person/thing has left the transportation device; otherwise, the microprocessor 122 determines that the person/thing does not leave the transportation device.
In this embodiment, the billing module 126 may perform specific billing according to the transportation route, the weight of the transported goods, the consumed electric quantity, or any combination of the above three. The specific setting is set by the administrator of the intelligent transportation system 100 according to the charging standard of different areas. For example: the charging standard of the area A is to charge according to the length of the route, and the charging standard specifically set in the area is 1 yuan/km; and if the transport distance of the currently transported goods is 4.5 kilometers, the calculated fee to be paid is 4.5 yuan. At this time, the user can complete the intelligent transportation process by making corresponding payment on the App.
The present invention provides a third embodiment of an intelligent transportation system 100. Referring to fig. 7, fig. 7 is a schematic diagram of program modules of the transportation device in the third embodiment of the intelligent transportation system of the present invention. The third embodiment is improved on the basis of the second embodiment, and is improved in that the transportation device 120 further includes: and a power monitoring module 127. The electric quantity monitoring module 127 is configured to monitor and obtain the real-time electric quantity of the transportation device 120. The driving control module 123 is electrically connected to the electric quantity monitoring module 127, and is further configured to control the transportation device 120 to perform a corresponding charging action according to the real-time electric quantity.
In this embodiment, the driving control module 123 may control the transportation device 120 to drive into a corresponding service point of the underground charging pile for charging according to the current remaining power of the transportation device 120. For example, if the real-time electric quantity of the transportation device 120 is lower than a preset electric quantity threshold, the transportation device 120 is controlled to charge the underground charging pile service point closest to the transportation device; and if the real-time electric quantity of the transportation device 120 is higher than the preset electric quantity threshold value, controlling the transportation device 120 to enter a place with abundant service points of the underground charging pile for charging. The preset threshold of the electric quantity is specifically set by an administrator of the intelligent transportation system 100, and may be set as: 50%, 45%, 40%, or 35%, preferably 35%. Through the implementation mode, the intelligent transportation method can be further perfected.
The intelligent transportation system 100 provided in the first, second and third embodiments is suitable for three application scenarios; respectively transporting people and objects, and simultaneously transporting people and objects. These three application scenarios are generally described below.
Scenario one, the transportation device 120 is responsible for transporting the item: when the intelligent transportation system 100 receives a transportation command for transporting an article, the transportation device is controlled to perform a transportation operation, and the suitable transportation device 120 performs underground rapid transportation through the underground transportation pipeline 110, transfers the transportation device 120 with the article to a ground service station nearest to a target place, and transmits the transportation device 120 to the ground through the ground service station. The transportation device 120 transports the goods to the transportation destination according to the route which is analyzed, planned and selected first, and returns to the corresponding service point after the goods are transported and confirmed. In another case, after the intelligent transportation system receives a transportation instruction for transporting an article, the transportation device 120 is controlled to perform underground rapid transportation through an underground transportation pipeline, the article enters the ground from a ground service desk closest to a transportation starting place, after the loading of the article is completed, the transportation device 120 performs transportation according to a route which is firstly analyzed, planned and selected, transports the article to a transportation destination, performs transportation confirmation, and then returns to a corresponding service point.
Scene two, transportation of the person in charge of the transportation device 120: after the intelligent transportation system 100 receives the transportation instruction of the transporter, the transportation device 120 is controlled to execute the transportation action, and according to the analysis of the intelligent transportation system 100, the proper transportation device 120 is dispatched and transmitted to the transportation departure place through the ground service platform to carry out the transportation instead of walk. The transportation device 120 sends back the corresponding service point after arriving at the transportation destination according to the first analyzed, planned and selected route.
Scene three, the transportation device 120 is responsible for the transportation of people and goods: after the intelligent transportation system 100 receives the transportation instruction of the transporter, the transportation device 120 is controlled to perform transportation, the transportation device 120 performs underground rapid transportation, the transportation device 120 with the goods is transmitted to the ground service desk nearest to the user, and the transportation device 120 is transmitted to the ground through the ground service desk. The transportation device 120 arrives at the user request location according to the first analyzed, planned and selected route, performs transportation and arrives at the destination according to the established plan. And if the destinations of the people and the objects are consistent, completing the transportation. If not, the destination of the target person is reached first, and then the destination of the target person is reached according to the planned route. And returning the corresponding service point according to the final destination. In another case, people and goods are waiting to be loaded at the transportation starting place, and at this time, after the intelligent transportation system 100 receives the transportation instruction of the people and goods, the empty transportation device 120 is controlled to execute the transportation action, and the transportation device 120 performs underground rapid transportation and transmits the underground rapid transportation to the ground through the ground service desk. The transportation device 120 may arrive at the user's requested location by analyzing, planning and selecting the route first, perform transportation and loading, arrive at the transportation destination according to the established plan, and return to the corresponding service point according to the transportation destination.
Through the implementation mode of the Internet of things, all nodes of the intelligent transportation system can be contacted, fed back and regulated, so that the intelligent intellectualization of the transportation process is realized.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent transportation method, based on an intelligent transportation system, the intelligent transportation system comprising: underground transportation pipelines, transportation devices, and above-ground transportation routes; the method is characterized by comprising the following steps:
s110: the intelligent transportation system monitors whether a transportation instruction is received in real time;
s120: if so, acquiring transportation information of a transportation departure place and a transportation destination;
s130: controlling a transportation device to start from an underground transportation pipeline and travel to the transportation starting place according to the acquired transportation information;
s140: after the transportation device arrives at the transportation departure place, judging whether the people/objects needing to be transported are positioned on the transportation device or not;
s150: and if so, generating a corresponding aboveground route plan according to the transportation starting place and the transportation destination, and controlling the transportation device to drive to the transportation destination according to the route plan.
2. The intelligent transportation method according to claim 1, wherein the process of step S130 specifically comprises:
s131: acquiring all first transportation devices with the distance to the transportation departure place within a preset scheduling distance range according to the transportation departure place;
s132: calling out a second transportation device which is closest to the first transportation device, has the highest electric quantity or has the least transportation times;
s133: and controlling the second transportation device to automatically travel to the transportation departure place from the underground pipeline.
3. The intelligent transportation method according to claim 1, wherein the process of step S140 specifically comprises:
s141: after the transportation device arrives at the transportation departure place, controlling the transportation device to start a corresponding identification function to obtain an identification result;
s142: judging whether the identification result is matched with a reference identification result which is pre-input in the system by a user sending a transportation instruction; if yes, go to step S143; if not, go to step S144;
s143: starting the cargo loading/weighing function of the transportation device; and goes to step S146;
s144: entering a system database for comparison, and judging whether the member exists in the database; if yes, return to step S143; if not, go to step S145;
s145: entering an alarm system, and listing the user corresponding to the identification result in a blacklist;
s146: when the weight sensor arranged at the bottom of the transportation device acquires that the weight of the transportation device changes, defining a judgment result that a person/object to be transported is located on the transportation device; otherwise, defining the judgment result that the person/object needing to be transported is not positioned on the transporting device.
4. The intelligent transportation method according to any one of claims 1-3, wherein the mode of route planning comprises: the route planning with the shortest distance, the route planning with the shortest driving time, the route planning with the largest road, the route planning with the minimum traffic flow and the self-defined route planning.
5. The intelligent transportation method of claim 4, further comprising the steps of:
s160: after the transportation device arrives at the transportation destination, judging whether the person/thing leaves the transportation device;
s170: and if so, calculating the corresponding fee to be paid according to the transportation information.
6. The intelligent transportation method of claim 5, further comprising the steps of:
s180: monitoring and acquiring the real-time electric quantity of the transportation device;
s190: and controlling the transportation device to execute corresponding charging actions according to the real-time electric quantity.
7. An intelligent transportation system, comprising: underground transportation pipelines, overground transportation lines and transportation devices;
wherein, a cavity structure is arranged in the transportation device and is used for placing goods; a pedal device is arranged right above the base for a person to stand on; the transportation device is further provided with: the system comprises a microprocessor, an instruction receiving module, an identification module, an infrared sensing module and a driving control module;
the instruction receiving module is electrically connected with the microprocessor and used for monitoring whether a transportation instruction is received in real time; the microprocessor is used for acquiring transportation information of a transportation departure place and a transportation destination when the instruction receiving module monitors and receives a transportation instruction in real time; and judging whether the person/object to be transported is positioned on the transporting device or not after the transporting device arrives at the transporting departure place; the running control module is electrically connected with the microprocessor and used for controlling the transportation device to automatically run to the transportation starting place from an underground transportation pipeline according to the acquired transportation information; generating a corresponding ground route plan according to the transportation starting place and the transportation destination, and controlling the transportation device to automatically drive to the transportation destination according to the route plan;
the identification module is arranged right in front of the transportation device and used for identifying whether the identification results of the user at the transportation departure place and the ordering user are matched or not; the infrared sensing module is arranged on the outer surface of the transportation device and used for sensing the distance between the transportation device and an external obstacle.
8. The intelligent transportation system of claim 7, wherein the travel control module comprises: the system comprises an acquisition unit, a scheduling unit and a driving control unit;
the acquisition unit is used for acquiring all first transportation devices with the distance to the transportation departure place within a preset scheduling distance range according to the transportation departure place;
the scheduling unit is used for scheduling a second transportation device which is closest to the first transportation device, has the highest electric quantity or has the least transportation times;
and the driving control unit is used for controlling the second transportation device to automatically drive to the transportation starting place from an underground pipeline.
9. The intelligent transportation system of claim 8, further comprising: a charging module;
the microprocessor is also used for judging whether the person/thing leaves the transportation device or not after the transportation device reaches the transportation destination;
and the charging module is electrically connected with the microprocessor and used for calculating corresponding fees to be paid according to the transportation information when the microprocessor judges that the person/thing leaves the transportation device.
10. The intelligent transportation system of claim 9, further comprising: an electric quantity monitoring module;
the electric quantity monitoring module is used for monitoring and acquiring the real-time electric quantity of the transportation device;
the driving control module is electrically connected with the electric quantity monitoring module and is also used for controlling the transportation device to execute corresponding charging actions according to the real-time electric quantity.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111530756A (en) * | 2020-04-30 | 2020-08-14 | 四川省马皇科技有限公司 | Cargo transportation method and system based on pipeline |
| CN112686609A (en) * | 2020-12-31 | 2021-04-20 | 江苏佳利达国际物流股份有限公司 | Intelligent unmanned logistics transportation method and system based on optimization efficiency evaluation algorithm |
| CN116911730A (en) * | 2023-09-11 | 2023-10-20 | 国网浙江省电力有限公司宁波供电公司 | Management method of intelligent transmission device of Internet of things and transmission device |
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2019
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111530756A (en) * | 2020-04-30 | 2020-08-14 | 四川省马皇科技有限公司 | Cargo transportation method and system based on pipeline |
| CN112686609A (en) * | 2020-12-31 | 2021-04-20 | 江苏佳利达国际物流股份有限公司 | Intelligent unmanned logistics transportation method and system based on optimization efficiency evaluation algorithm |
| CN112686609B (en) * | 2020-12-31 | 2021-08-13 | 江苏佳利达国际物流股份有限公司 | Intelligent unmanned logistics transportation method and system based on optimization efficiency evaluation algorithm |
| CN116911730A (en) * | 2023-09-11 | 2023-10-20 | 国网浙江省电力有限公司宁波供电公司 | Management method of intelligent transmission device of Internet of things and transmission device |
| CN116911730B (en) * | 2023-09-11 | 2024-04-30 | 国网浙江省电力有限公司宁波供电公司 | Management method of intelligent transmission device of Internet of things and transmission device |
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