CN112837201A - Accurate data-driven intelligent resource allocation system - Google Patents
Accurate data-driven intelligent resource allocation system Download PDFInfo
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Abstract
The invention discloses a precise data-driven resource allocation intelligent system, which comprises a camera, vehicle-mounted terminal equipment, a data access server, a data warehouse, a scheduling server and a human-vehicle interaction device, wherein the camera is connected with the vehicle-mounted terminal equipment; the camera is used for acquiring real-time images of passengers getting on and off the bus between the opening and closing of the front door and the rear door of the bus; the vehicle-mounted terminal device: the system is used for recording the GPS position of the vehicle, and counting the passenger flow by identifying the real-time image collected by the camera to obtain the number of passengers getting on and off and the OD data of the passenger flow at each bus stop; the scheduling server is used for intelligent scheduling, intelligent scheduling and intelligent hanging, and the human-vehicle interaction device is used for broadcasting or displaying scheduling and scheduling instructions transmitted by the scheduling server and feeding back real-time scheduling execution conditions to the scheduling server. The system carries out scheduling and real-time scheduling according to the passenger flow rule, shortens the travel time of passengers and facilitates the travel of the public.
Description
Technical Field
The invention relates to the field of intelligent traffic research, in particular to the field of intelligent public transportation, and particularly relates to an intelligent resource allocation system driven by accurate data.
Background
At present, in the field of intelligent buses, some platforms or systems related to bus intellectualization appear, most of the platforms or systems are simply displaying passenger flow data, actual service application based on passenger flow rules and passenger flow OD data is not available, auxiliary decision cannot be provided for clients, system design is not really carried out from the perspective of users, cost reduction and efficiency improvement cannot be achieved for users, and more convenience cannot be provided for the public.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an accurate data-driven resource allocation intelligent system which can carry out scheduling and real-time scheduling according to a passenger flow rule, shorten the travel time of passengers, facilitate public travel, improve the satisfaction degree of public transport travel, attract incremental passenger flow, improve the share rate of public transport travel, improve the income of public transport operation, relieve city congestion and greatly improve the social benefits of public transport.
In order to achieve the purpose, the invention adopts the technical scheme that
The first aspect provides an intelligent resource allocation system driven by accurate data, which comprises a camera 1, vehicle-mounted terminal equipment, a data access server, a data warehouse, a scheduling server and a human-vehicle interaction device;
the camera 1 is arranged above the front door and the rear door of the bus and is used for acquiring real-time images of passengers getting on and off the bus between the opening and closing of the front door and the rear door of the bus;
the vehicle-mounted terminal device: the system is used for recording the GPS position of a vehicle, forming the driving track of the bus, receiving the real-time image transmitted by the camera 1, carrying out image recognition on the real-time image, counting the passenger flow, obtaining the number of the passengers getting on and off the bus at each bus stop, further obtaining the passenger flow of each stop at each time interval, simultaneously carrying out matching on the passenger flow images of getting on and off the bus by the image recognition technology, obtaining the OD data of the passenger flow, and obtaining the associated data of the passengers getting on the bus at what time and getting off the bus at what time. Preferably, the vehicle-mounted terminal device comprises a CPU minimum system, a power supply module, a video acquisition module, a communication module and a GPS module, wherein the power supply module, the video acquisition module, the communication module, the GPS module and the CPU minimum system are electrically connected.
Transmitting the obtained information to a data access server, and performing information interaction with the data access server;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the scheduling server comprises an intelligent scheduling module, an intelligent scheduling module and an intelligent shift hanging module,
preferably, the intelligent scheduling module performs intelligent scheduling according to passenger data and passenger flow OD data in a data warehouse within a plurality of days in combination with basic data, so that the scheduling is more consistent with the passenger flow rule; the basic data comprises driver data, vehicle data, platform data, station data, line data and the like;
the intelligent scheduling module can be used for early warning abnormal problems in real time through the real-time shift execution condition, automatically processing abnormal problems such as too short distance between vehicles, leave request of drivers, vehicle faults and the like, automatically presenting abnormal data and reasonably allocating personnel and vehicle resources; the bus service quality is improved;
the intelligent shift hanging comprises the following steps: converting the driving plan into a driving scheme which can be actually executed according to data such as leave request of a driver, requirements of a dispatcher, vehicle engineering and the like; the intelligent shift hanging enables the shift hanging to be simpler, and the shift hanging data is accurate and efficient;
the man-vehicle interaction device is in interactive connection with the vehicle-mounted terminal equipment or the data access server; the scheduling and dispatching server is used for broadcasting or displaying scheduling and dispatching instructions transmitted by the scheduling and dispatching server and feeding back real-time scheduling execution conditions to the scheduling and dispatching server; preferably, the human-vehicle interaction device can be a voice announcer, a station saver or an app.
Preferably, the system further comprises a network optimization server connected to the data warehouse, and configured to perform network optimization according to the passenger flow law, specifically: the method comprises the steps of analyzing the matching degree of the existing bus route setting and the passenger flow travel demand through accurate passenger flow OD data distribution, diagnosing local station, line, area or global problems, automatically generating a solution, adjusting the layout of the route and the station as required to achieve the purposes of bus reduction, people reduction and mileage reduction and labor and time saving of passengers in the bus, and finally evaluating the quality of decision through simulation and verification.
Further, the wire network optimization server is also used for organizing the special driving according to the passenger flow rule, specifically, analyzing the optimally planned driving route according to the passenger flow OD data, the route, the station and other multi-dimensional big data, automatically recommending the special route (such as fast bus at large station, inter-vehicle, fast commuting line and the like), and shortening the travel time of passengers. The special traveling crane is organized to dynamically set a route traveling crane plan on line, and the traveling crane organization is more intimate.
Preferably, the system also comprises a camera 3 and a driving assistance server connected with the data warehouse,
the camera 3 is used for collecting real-time images around the vehicle in the driving process, and the camera 3 can be arranged in front of, on the side of or behind the outer surface of the vehicle;
the vehicle-mounted terminal equipment receives the real-time image around the vehicle transmitted by the camera 3, identifies the distance data between the vehicle and surrounding obstacles or other vehicles through an intelligent AI algorithm, and directly carries out real-time distance and position early warning through the human-vehicle interaction device when the distance is smaller than a certain threshold value; transmitting the early warning information to a data access server;
the auxiliary driving server receives the early warning information transmitted by the data access server through the data warehouse, and can be used for displaying the early warning information. And the driving assistance server is used for automatically sensing external dangerous information by the vehicle and playing a driving assistance role according to real-time early warning.
Preferably, the system also comprises a camera 2 and a safe driving data processing server connected with the data warehouse,
the camera 2 is used for acquiring a real-time image of a driver in the driving process;
the vehicle-mounted terminal equipment receives the driver real-time image transmitted by the camera 2, identifies whether the driver has driving behaviors such as irrelevant electronic equipment use, fatigue, smoking and the like through an intelligent algorithm, analyzes the driving behaviors, considers the driving behaviors which reach a threshold value as driving behaviors which are dangerous to safety, and directly carries out automatic alarm or alarm processing through a human-vehicle interaction device; and transmitting the alarm or alarm information to a data access server;
the safe driving data processing server receives the alarm or alarm information transmitted by the data access server through the data warehouse and can be used for displaying the alarm or alarm information; the safe driving data processing server can display video images in the vehicle in real time, monitor the conditions in the vehicle in real time through videos, and check, track, verify and dispose.
Preferably, the safe driving data processing server is also used for controlling reasonable working time of a driver, automatically calculating the current accumulated driving time of the driver, and giving an alarm through the man-vehicle interaction device when the driving time exceeds a certain threshold; by analyzing the incidence relation between the working time and the driving time of the driver, the potential risk of the driver in driving is comprehensively evaluated, and the work and rest time of the driver is scientifically and reasonably arranged;
preferably, the system further comprises a driver evaluation server connected with the data warehouse, and the driver evaluation server is used for calling various operation data such as driver number execution, attendance and punctuation rate stored in the data warehouse, and indexes such as safety-endangering driving behaviors in the driving process, giving each index weight, establishing a universal driver evaluation model, automatically generating various assessment reports, and automatically updating and presenting the working state of the driver. Further, the driver evaluation server is also associated with a traffic management website and used for acquiring information whether the vehicle violates regulations or not and taking the violation information as certain indexes for driver evaluation.
Preferably, the system also comprises a vehicle management server connected with the data warehouse and a human-computer interaction device, wherein the human-computer interaction device is connected with the data access server or directly connected with the vehicle management server; the vehicle management server acquires operation data such as vehicle operation mileage, faults, maintenance and the like through the human-computer interaction device, establishes a data application model, and scientifically and reasonably manages and maintains the vehicle;
preferably, the system also comprises a charging management server connected with the data warehouse, and the charging management server reasonably plans the distribution of the charging piles and the charging time according to the driving plan; the method is used for establishing a data application model by taking electricity as a basis, and managing electricity scientifically, reasonably and efficiently.
In a second aspect, another precision data-driven resource allocation intelligent system is provided, and the system comprises a camera 3, a vehicle-mounted terminal device, a data access server, a data warehouse, an auxiliary driving server and a human-vehicle interaction device;
the camera 3 is used for collecting real-time images around the vehicle in the driving process, and the camera 3 can be arranged in front of, on the side of or behind the outer surface of the vehicle;
the vehicle-mounted terminal equipment receives the real-time image around the vehicle transmitted by the camera 3, identifies the distance data between the vehicle and surrounding obstacles or other vehicles through an intelligent AI algorithm, and directly carries out real-time distance and position early warning through the human-vehicle interaction device when the distance is smaller than a certain threshold value; transmitting the early warning information to a data access server; the vehicle-mounted terminal equipment is also used for recording the GPS position of the vehicle to form the driving track of the bus;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the auxiliary driving server receives the early warning information transmitted by the data access server through the data warehouse, and can be used for displaying the early warning information. And the driving assistance server is used for automatically sensing external dangerous information by the vehicle and playing a driving assistance role according to real-time early warning.
The third aspect provides a third precise data-driven intelligent resource allocation system, which comprises a camera 2, vehicle-mounted terminal equipment, a data access server, a data warehouse, a safe driving data processing server and a human-vehicle interaction device;
the camera 2 is used for acquiring a real-time image of a driver in the driving process;
the vehicle-mounted terminal equipment receives the driver real-time image transmitted by the camera 2, identifies whether the driver has driving behaviors such as irrelevant electronic equipment use, fatigue, smoking and the like through an intelligent algorithm, analyzes the driving behaviors, considers the driving behaviors which reach a threshold value as driving behaviors which are dangerous to safety, and carries out automatic alarm or alarm processing through a human-vehicle interaction device; and transmitting the alarm or alarm information to a data access server; the vehicle-mounted terminal equipment is also used for recording the GPS position of the vehicle to form the driving track of the bus;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the safe driving data processing server receives the alarm or alarm information transmitted by the data access server through the data warehouse and can be used for displaying the alarm or alarm information; the safe driving data processing server can display video images in the vehicle in real time, monitor the conditions in the vehicle in real time through videos, and check, track, verify and dispose.
Compared with the prior art, one of the technical schemes has the following beneficial effects: through carrying out multidimension degree modeling analysis to passenger flow data, the application passenger flow law carries out intelligent scheduling, the gauze is optimized, the characteristic driving, simultaneously through man-hour to the driver, the driving action carries out the risk control, eliminate driver's potential safety hazard, and automatic statistics analysis operation relevant data, establish all kinds of application models, realize simple high-efficient management, effectively reduce public transit operation cost, shorten passenger's trip time, make things convenient for the public to go out, promote public transit trip satisfaction, attract increment passenger flow, promote public transit trip sharing rate, improve public transit operation income, alleviate city blocking simultaneously, greatly promote public transit social.
Drawings
Fig. 1 is an architecture diagram of an intelligent resource allocation system driven by precise data according to an embodiment of the present disclosure.
Fig. 2 is an architecture diagram of another precision data-driven resource allocation intelligence system according to an embodiment of the present disclosure.
Detailed Description
In order to clarify the technical solution and the working principle of the present invention, the embodiments of the present disclosure will be described in further detail with reference to the accompanying drawings.
All the above optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described herein again.
In a first aspect: the embodiment of the present disclosure provides an intelligent resource allocation system driven by accurate data:
fig. 1 is a frame diagram of one system provided by the embodiment of the present disclosure, and fig. 2 is a frame diagram of another system provided by the embodiment of the present disclosure, which is combined with the above 2 drawings, and mainly includes the following contents:
the system comprises a camera 1, vehicle-mounted terminal equipment, a data access server, a data warehouse, a scheduling server and a man-vehicle interaction device;
the camera 1 is arranged above the front door and the rear door of the bus and is used for acquiring real-time images of passengers getting on and off the bus between the opening and closing of the front door and the rear door of the bus;
the vehicle-mounted terminal device: the system is used for recording the GPS position of a vehicle, forming the driving track of the bus, receiving the real-time image transmitted by the camera 1, carrying out image recognition on the real-time image, counting the passenger flow, obtaining the number of the passengers getting on and off the bus at each bus stop, further obtaining the passenger flow of each stop at each time interval, simultaneously carrying out matching on the passenger flow images of getting on and off the bus by the image recognition technology, obtaining the OD data of the passenger flow, and obtaining the associated data of the passengers getting on the bus at what time and getting off the bus at what time. Preferably, the vehicle-mounted terminal device comprises a CPU minimum system, a power supply module, a video acquisition module, a communication module and a GPS module, wherein the power supply module, the video acquisition module, the communication module, the GPS module and the CPU minimum system are electrically connected.
Transmitting the obtained information to a data access server, and performing information interaction with the data access server;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the scheduling server comprises an intelligent scheduling module, an intelligent scheduling module and an intelligent shift hanging module,
preferably, the intelligent scheduling module performs intelligent scheduling according to passenger data and passenger flow OD data in a data warehouse within a plurality of days in combination with basic data, so that the scheduling is more consistent with the passenger flow rule; the basic data comprises driver data, vehicle data, platform data, station data, line data and the like;
the intelligent scheduling module analyzes and models through multi-dimensional big data such as passenger flow OD data, date types (working days or holidays), weather, line drivers, vehicles and the like, automatically generates a bus line operation scheduling plan matched with the passenger flow rule, continuously improves the utilization rate of the drivers and the buses on the basis of meeting certain service quality, and achieves the purposes of reducing people and vehicles and effectively reducing cost in operation; the existing shift interval is optimized through accurate passenger flow distribution and accurate passenger flow prediction, a shift scheduling plan matched with the passenger flow rule is finally optimized and formed, and the quality of decision is evaluated through simulation and verification. The efficient allocation of human and vehicle resources is realized by optimizing the shift arrangement, the inefficient and invalid operation shift is effectively reduced, the resources of drivers and vehicles are efficiently utilized, and the cost reduction and the efficiency improvement are realized for the public transport. The intelligent scheduling module automatically optimizes the human-vehicle resource allocation according to the needs, and the shift structure is more reasonable.
The intelligent scheduling module can be used for early warning abnormal problems in real time through the real-time shift execution condition, automatically processing abnormal problems such as too short distance between vehicles, leave request of drivers, vehicle faults and the like, automatically presenting abnormal data and reasonably allocating personnel and vehicle resources; the bus service quality is improved;
the intelligent shift hanging comprises the following steps: converting the driving plan into a driving scheme which can be actually executed according to data such as leave request of a driver, requirements of a dispatcher, vehicle engineering and the like; the intelligent shift hanging enables the shift hanging to be simpler, and the shift hanging data is accurate and efficient;
the human-vehicle interaction device can be interactively connected with vehicle-mounted terminal equipment, as shown in the attached drawing 1, and can also be interactively connected with a data access server, as shown in the attached drawing 2; the scheduling and dispatching server is used for broadcasting or displaying scheduling and dispatching instructions transmitted by the scheduling and dispatching server and feeding back real-time scheduling execution conditions to the scheduling and dispatching server; preferably, the human-vehicle interaction device can be a voice announcer, a station saver or an app.
Preferably, the system further comprises a network optimization server connected to the data warehouse, and configured to perform network optimization according to the passenger flow law, specifically: by collecting accurate OD passenger flow distribution, the matching degree of the existing bus route setting and the passenger flow travel demand is analyzed, local station, line, area or global problems are diagnosed, a solution is automatically generated, the layout of the route and the station is continuously adjusted, the purposes of bus reduction, people reduction and mileage reduction and labor and time saving of passengers in the bus are achieved, and finally the advantages and disadvantages of decision making are evaluated through simulation and verification. The optimization of the wire network is the online dynamic optimization of the station wire resource allocation, and the wire network structure is more scientific. Through intelligent net unit, optimize and integrate low efficiency circuit, effectively reduce public transit operation cost, shorten passenger's trip time, make things convenient for the public trip, promote public transit trip satisfaction, attract increment passenger flow, promote public transit trip sharing rate, improve public transit operation income, alleviate the city simultaneously and block up, greatly promote public transit social. Meanwhile, the intelligent network unit breaks through the optimization history of static circuits, creates a dynamic intelligent optimization system and starts the first time of network optimization simulation and online effect evaluation.
Further, the wire network optimization server is also used for organizing the special driving according to the passenger flow rule, specifically, analyzing the optimally planned driving route according to the multidimensional big data such as the passenger flow OD, the route, the station and the like, automatically recommending the special route (such as a large-station express bus, an inter-bus, a fast commuting line and the like), and shortening the travel time of passengers. The special traveling crane is organized to dynamically set a route traveling crane plan on line, and the traveling crane organization is more intimate.
Preferably, the system also comprises a camera 3 and a driving assistance server connected with the data warehouse,
the camera 3 is used for collecting real-time images around the vehicle in the driving process, and the camera 3 can be arranged in front of, on the side of or behind the outer surface of the vehicle;
the vehicle-mounted terminal equipment receives the real-time image around the vehicle transmitted by the camera 3, identifies the distance data between the vehicle and surrounding obstacles or other vehicles through an intelligent AI algorithm, and directly carries out real-time distance and position early warning through the human-vehicle interaction device when the distance is smaller than a certain threshold value; transmitting the early warning information to a data access server;
the auxiliary driving server receives the early warning information transmitted by the data access server through the data warehouse, and can be used for displaying the early warning information. And the driving assistance server is used for automatically sensing external dangerous information by the vehicle and playing a driving assistance role according to real-time early warning.
Preferably, the system also comprises a camera 2 and a safe driving data processing server connected with the data warehouse,
the camera 2 is used for acquiring a real-time image of a driver in the driving process;
the vehicle-mounted terminal equipment receives the driver real-time image transmitted by the camera 2, identifies whether the driver has driving behaviors such as irrelevant electronic equipment use, fatigue, smoking and the like through an intelligent algorithm, analyzes the driving behaviors, considers the driving behaviors which reach a threshold value as driving behaviors which are dangerous to safety, and directly carries out automatic alarm or alarm processing through a human-vehicle interaction device; and transmitting the alarm or alarm information to a data access server;
the safe driving data processing server receives the alarm or alarm information transmitted by the data access server through the data warehouse and can be used for displaying the alarm or alarm information; the safe driving data processing server can display video images in the vehicle in real time, monitor the conditions in the vehicle in real time through videos, and check, track, verify and dispose.
Preferably, the safe driving data processing server is also used for controlling the reasonable working time of the driver, automatically calculating the accumulated driving time of the driver on the same day and giving an alarm when the driving time exceeds a certain threshold; by analyzing the incidence relation between the working time and the driving time of the driver, the potential risk of the driver in driving is comprehensively evaluated, and the work and rest time of the driver is scientifically and reasonably arranged;
preferably, the system further comprises a driver evaluation server connected with the data warehouse, and the driver evaluation server is used for calling various operation data such as driver number execution, attendance and punctuation rate stored in the data warehouse, and indexes such as safety-endangering driving behaviors in the driving process, giving each index weight, establishing a universal driver evaluation model, automatically generating various assessment reports, and automatically updating and presenting the working state of the driver. Further, the driver evaluation server is also associated with a traffic management website and used for acquiring information whether the vehicle violates regulations or not and taking the violation information as certain indexes for driver evaluation.
Preferably, the system further comprises a vehicle management server connected with the data warehouse, and a human-computer interaction device, wherein the human-computer interaction device can be connected with the data access server (as shown in fig. 2) or directly connected with the vehicle management server (as shown in fig. 1); the vehicle management server acquires operation data such as vehicle operation mileage, faults, maintenance and the like through the human-computer interaction device, establishes a data application model, and scientifically and reasonably manages and maintains the vehicle;
preferably, the system also comprises a charging management server connected with the data warehouse, and the charging management server reasonably plans the charging pile and the distribution of the charging time; the method is used for establishing a data application model by taking electricity as a basis, and managing electricity scientifically, reasonably and efficiently.
In a second aspect, another precision data-driven resource allocation intelligent system is provided, and the system comprises a camera 3, a vehicle-mounted terminal device, a data access server, a data warehouse, an auxiliary driving server and a human-vehicle interaction device;
the camera 3 is used for collecting real-time images around the vehicle in the driving process, and the camera 3 can be arranged in front of, on the side of or behind the outer surface of the vehicle;
the vehicle-mounted terminal equipment receives the real-time image around the vehicle transmitted by the camera 3, identifies the distance data between the vehicle and surrounding obstacles or other vehicles through an intelligent AI algorithm, and directly carries out real-time distance and position early warning through the human-vehicle interaction device when the distance is smaller than a certain threshold value; transmitting the early warning information to a data access server; the vehicle-mounted terminal equipment is also used for recording the GPS position of the vehicle to form the driving track of the bus;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the auxiliary driving server receives the early warning information transmitted by the data access server through the data warehouse, and can be used for displaying the early warning information. And the driving assistance server is used for automatically sensing external dangerous information by the vehicle and playing a driving assistance role according to real-time early warning.
The third aspect provides a third precise data-driven intelligent resource allocation system, which comprises a camera 2, vehicle-mounted terminal equipment, a data access server, a data warehouse, a safe driving data processing server and a human-vehicle interaction device;
the camera 2 is used for acquiring a real-time image of a driver in the driving process;
the vehicle-mounted terminal equipment receives the driver real-time image transmitted by the camera 2, identifies whether the driver has driving behaviors such as irrelevant electronic equipment use, fatigue, smoking and the like through an intelligent algorithm, analyzes the driving behaviors, considers the driving behaviors which reach a threshold value as driving behaviors which are dangerous to safety, and carries out automatic alarm or alarm processing through a human-vehicle interaction device; and transmitting the alarm or alarm information to a data access server; the vehicle-mounted terminal equipment is also used for recording the GPS position of the vehicle to form the driving track of the bus;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the safe driving data processing server receives the alarm or alarm information transmitted by the data access server through the data warehouse and can be used for displaying the alarm or alarm information; the safe driving data processing server can display video images in the vehicle in real time, monitor the conditions in the vehicle in real time through videos, and check, track, verify and dispose.
The invention has been described above by way of example with reference to the accompanying drawings, it being understood that the invention is not limited to the specific embodiments described above, but is capable of numerous insubstantial modifications when implemented in accordance with the principles and solutions of the present invention; or directly apply the conception and the technical scheme of the invention to other occasions without improvement and equivalent replacement, and the invention is within the protection scope of the invention.
Claims (10)
1. An intelligent resource allocation system driven by accurate data is characterized by comprising a camera 1, vehicle-mounted terminal equipment, a data access server, a data warehouse, a scheduling server and a man-vehicle interaction device;
the camera 1 is arranged above the front door and the rear door of the bus and is used for acquiring real-time images of passengers getting on and off the bus between the opening and closing of the front door and the rear door of the bus;
the vehicle-mounted terminal device: the system is used for recording the GPS position of the bus and forming the driving track of the bus; receiving the real-time image transmitted by the camera 1, performing image recognition on the real-time image, counting passenger flow to obtain the number of passengers getting on and off the bus at each bus stop, and simultaneously performing matching of the passenger flow images of getting on and off the bus by an image recognition technology to obtain passenger flow OD data, namely obtaining the associated data of the time when a certain passenger gets on the bus at which stop and the time when the passenger gets off the bus at which stop;
transmitting the obtained information to a data access server, and performing information interaction with the data access server;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the scheduling server comprises an intelligent scheduling module, an intelligent scheduling module and an intelligent shift hanging module;
the man-vehicle interaction device is in interactive connection with the vehicle-mounted terminal equipment or the data access server; the scheduling and dispatching server is used for broadcasting or displaying scheduling and dispatching instructions transmitted by the scheduling and dispatching server and feeding back real-time scheduling execution conditions to the scheduling and dispatching server.
2. The precision data driven intelligent resource configuration system according to claim 1, wherein the vehicle-mounted terminal device comprises a CPU minimum system, a power supply module, a video acquisition module, a communication module, and a GPS module, wherein the power supply module, the video acquisition module, the communication module, the GPS module and the CPU minimum system are electrically connected.
3. The precise data driven intelligent resource allocation system according to claim 1, wherein the intelligent scheduling module performs intelligent scheduling according to passenger data and passenger flow OD data in a data warehouse within a plurality of days in combination with basic data, so that the scheduling is more consistent with a passenger flow rule; the basic data comprises driver data, vehicle data, platform data, station data and line data;
the intelligent scheduling module is used for early warning abnormal problems in real time through real-time shift execution conditions transmitted by the human-vehicle interaction device, automatically processing abnormal problems such as too close vehicle distance, leave request of a driver, vehicle faults and the like, automatically presenting abnormal data and reasonably allocating personnel and vehicle resources;
the intelligent shift hanging comprises the following steps: and converting the driving plan into a driving scheme which can be actually executed according to data such as leave request of a driver, requirements of a dispatcher, vehicle engineering and the like.
4. The system according to any one of claims 1 to 3, further comprising a network optimization server connected to the data warehouse for performing network optimization according to the passenger flow law, specifically: the method comprises the steps of analyzing the matching degree of the existing bus route setting and the passenger flow travel demand through accurate passenger flow OD data distribution, diagnosing local station, line, area or global problems, automatically generating a solution, adjusting the layout of the route and the station as required to achieve the purposes of bus reduction, people reduction and mileage reduction and labor and time saving of passengers in the bus, and finally evaluating the quality of decision through simulation and verification.
5. An intelligent system for precise data-driven resource allocation according to any one of claims 1 to 3, characterized in that the system further comprises a camera 3 and an assistant driving server connected with the data warehouse,
the camera 3 is used for collecting real-time images around the vehicle in the driving process, and the camera 3 can be arranged in front of, on the side of or behind the outer surface of the vehicle;
the vehicle-mounted terminal equipment receives the real-time image around the vehicle transmitted by the camera 3, identifies the distance data between the vehicle and surrounding obstacles or other vehicles through an intelligent AI algorithm, and directly carries out real-time distance and position early warning through the human-vehicle interaction device when the distance is smaller than a certain threshold value; transmitting the early warning information to a data access server;
the auxiliary driving server receives the early warning information transmitted by the data access server through the data warehouse, and can be used for displaying the early warning information.
6. An intelligent system for precise data-driven resource allocation according to any one of claims 1 to 3, characterized in that the system further comprises a camera 2 and a safe driving data processing server connected with a data warehouse,
the camera 2 is used for acquiring a real-time image of a driver in the driving process;
the vehicle-mounted terminal equipment receives the driver real-time image transmitted by the camera 2, identifies whether the driver has driving behaviors such as irrelevant electronic equipment use, fatigue, smoking and the like through an intelligent algorithm, analyzes the driving behaviors, considers the driving behaviors which reach a threshold value as driving behaviors which are dangerous to safety, and directly carries out automatic alarm or alarm processing through a human-vehicle interaction device; and transmitting the alarm or alarm information to a data access server;
the safe driving data processing server receives the alarm or alarm information transmitted by the data access server through the data warehouse and can be used for displaying the alarm or alarm information; the safe driving data processing server can display video images in the vehicle in real time, monitor the conditions in the vehicle in real time through videos, and check, track, verify and dispose.
7. The intelligent system for precise data-driven resource allocation according to any one of claims 1 to 3, characterized in that the system further comprises a driver evaluation server connected to the data warehouse, the driver evaluation server is used for retrieving various operation data of driver's driving performance, attendance, punctuation rate and the like stored in the data warehouse, and indexes of safety-threatening driving behavior and the like in the driving process, giving weight to each index, establishing a general driver evaluation model, automatically generating various assessment reports, and automatically updating and presenting the working state of the driver.
8. An intelligent system for precise data-driven resource allocation according to any one of claims 1 to 3, further comprising a vehicle management server connected to the data warehouse, and a human-computer interaction device connected to the data access server or directly connected to the vehicle management server; the vehicle management server acquires operation data such as vehicle operation mileage, faults, maintenance and the like through the human-computer interaction device, establishes a data application model, and scientifically and reasonably manages and maintains the vehicle.
9. The intelligent system for precise data-driven resource allocation according to any one of claims 1 to 3, further comprising a charging management server connected to the data warehouse, and the charging pile and the charging time are reasonably allocated according to the driving plan.
10. An intelligent resource allocation system driven by accurate data is characterized by comprising a camera, vehicle-mounted terminal equipment, a data access server, a data warehouse, an auxiliary driving server and a human-vehicle interaction device;
the camera is used for acquiring real-time images around the vehicle in the driving process, and can be arranged in front of, on the side surface of or behind the outer surface of the vehicle;
the vehicle-mounted terminal equipment receives the real-time image around the vehicle transmitted by the camera 3, identifies the distance data between the vehicle and surrounding obstacles or other vehicles through an intelligent AI algorithm, and directly carries out real-time distance and position early warning through the human-vehicle interaction device when the distance is smaller than a certain threshold value; transmitting the early warning information to a data access server; the vehicle-mounted terminal equipment is also used for recording the GPS position of the vehicle to form the driving track of the bus;
the data warehouse is used for storing and transmitting data information transmitted by the server;
the auxiliary driving server receives the early warning information transmitted by the data access server through the data warehouse, and can be used for displaying the early warning information.
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