Vehicle operation strategy generation method and device based on vehicle-ground integrated electromechanical system

Abstract

The present disclosure provides a vehicle operation strategy generation method based on a vehicle-ground integrated electromechanical system, which can be applied to the technical field of rail vehicle operation and management. The vehicle operation strategy generation method comprises: in response to receiving the running state information of a target vehicle on a target path, the passenger state information in each compartment of the target vehicle, and the first running environment information within the line-of-sight range; obtaining the second running environment information within the line-of-sight range when the target vehicle is at the target position; determining the running environment fluctuation type according to the second running environment information and the first running environment information; and based on the running environment fluctuation type and the passenger state information in each compartment, generating a vehicle operation strategy by adjusting the running state information of each component, so that the target vehicle can stably run on the path between the target position and the current position while meeting the passenger demand.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of rail vehicle operation and management, and more particularly, to a vehicle operation strategy generation method, device and train based on a train-ground integrated electromechanical system. BACKGROUND

[0002] Currently, the track conditions information in front of the rail vehicle based on the sensor detection is very limited when the rail vehicle is running, for example: the rail vehicle is difficult to obtain the track condition information in front of the rail vehicle and the changes of the running environment such as the power supply state in time and accurately, so when facing the changes of the running environment, the rail vehicle usually adopts various emergency control strategies to cope with the changes of the running environment, which reduces the safety and stability of the rail vehicle operation, also affects the passenger's ride experience, and increases the uncertainty and risk in the journey. SUMMARY

[0003] Therefore, the present disclosure provides a vehicle operation strategy generation method based on a train-ground integrated electromechanical system.

[0004] According to an aspect of the present disclosure, a vehicle operation strategy generation method based on a train-ground integrated electromechanical system is provided, comprising: in response to receiving the running state information of a target vehicle on a target path, the passenger state information in each compartment of the target vehicle, and the first running environment information within the line-of-sight range; obtaining the second running environment information within the line-of-sight range when the target vehicle is at the target position; wherein the running state information includes the running position and the running state information of each component on the target vehicle; the target position is located on the target path, and the distance between the target position and the running position is greater than the line-of-sight range; determining the running environment fluctuation type according to the second running environment information and the first running environment information; and based on the running environment fluctuation type and the passenger state information in each compartment, generating a vehicle operation strategy by adjusting the running state information of each component, so that the target vehicle can stably run on the path between the target position and the current position while meeting the passenger demand.

[0005] According to an embodiment of the present disclosure, the running environment fluctuation information is generated according to the second running environment information and the first running environment information, comprising: in response to the difference between the voltage state of the first catenary corresponding to the current position and the voltage state of the second catenary corresponding to the target position being greater than a predetermined voltage fluctuation threshold, determining that the environment fluctuation type is catenary voltage fluctuation; in response to the difference between the smooth state of the first track corresponding to the current position and the smooth state of the second track corresponding to the target position being greater than a predetermined track fluctuation threshold, determining that the environment fluctuation type is track state fluctuation; and in response to the difference between the first tunnel state corresponding to the current position and the second tunnel state corresponding to the target position being greater than a predetermined state threshold, determining that the environment fluctuation type is tunnel state fluctuation.

[0006] According to an embodiment of the present disclosure, based on the running environment fluctuation type and the passenger state information in each compartment, a vehicle running strategy is generated by adjusting the running state information of each component, including: in response to the environment fluctuation type being catenary voltage fluctuation, adjusting the load state of the electrical equipment in each compartment according to the passenger quantity distribution state in each compartment, so as to reduce the power consumption load of the target vehicle; based on the target time at which the target vehicle arrives at the target position, obtaining the vehicle flow from the vehicle-ground integrated electromechanical system on the target time and the target position; and according to the vehicle flow and the adjusted load state of the electrical equipment in each compartment, generating a vehicle running strategy.

[0007] According to an embodiment of the present disclosure, according to the vehicle flow and the adjusted load state of the electrical equipment in each compartment, a vehicle running strategy is generated, including: in response to the vehicle flow being less than a predetermined flow threshold, generating a vehicle running strategy with the current running speed and the adjusted load state of the electrical equipment in each compartment; and in response to the vehicle flow being greater than or equal to the predetermined flow threshold, reducing the current running speed, and generating a vehicle running strategy according to the reduced running speed and the adjusted load state of the electrical equipment in each compartment, so that when driving to the target position at the reduced running speed, the vehicle flow at the target position is less than the predetermined flow threshold.

[0008] According to an embodiment of the present disclosure, based on the running environment fluctuation type and the passenger state information in each compartment, a vehicle running strategy is generated by adjusting the running state information of each component, including: in response to the running environment fluctuation type being track geometry fluctuation and intensity fluctuation, generating a first speed reduction strategy according to the current running speed, the distance between the target position and the current position, and the passenger's physical state; and adjusting the running state of the traction component of the target vehicle based on the first speed reduction strategy, so that the target vehicle slows down and smoothly passes through the damaged track.

[0009] According to an embodiment of the present disclosure, based on the running environment fluctuation type and the passenger state information in each compartment, a vehicle running strategy is generated by adjusting the running state information of each component, including: in response to the running environment fluctuation type being tunnel state fluctuation, calculating the resistance generated by the change of air in the tunnel to the running of the target vehicle when the target vehicle arrives at the tunnel located at the target position according to the current running speed; when the resistance is greater than a predetermined resistance threshold, the target running speed is calculated according to the predetermined resistance threshold; generating a second speed reduction strategy according to the current running speed, the target running speed, the passenger state information in each compartment, and the distance between the target position and the current position; and adjusting the running state of the traction component of the target vehicle based on the second speed reduction strategy, so that the target vehicle slows down and smoothly passes through the front tunnel.

[0010] According to an embodiment of the present disclosure, the method further comprises: obtaining maintenance record information of each component of the target vehicle; generating an anti-fatigue degree of each component according to the operation state information and the maintenance record information of each component; and in response to the anti-fatigue degree being less than an anti-fatigue degree required by each component corresponding to the resistance, sending a fault warning information to the vehicle-ground integrated electromechanical system and reducing the operation speed, so that the target vehicle stops before reaching the target position.

[0011] According to an embodiment of the present disclosure, the method further comprises: in response to receiving the foreign matter intrusion track information from the target position, extracting a foreign matter moving speed and a foreign matter moving direction from the foreign matter intrusion track information; determining a probability of the target vehicle colliding with the foreign matter according to the foreign matter moving direction, the foreign matter moving speed and the current operation state of the target vehicle; and in response to the probability being greater than a predetermined probability threshold, adjusting the operation state of the traction component of the target vehicle, so that the target vehicle reduces the operation speed until the probability is less than the predetermined probability threshold.

[0012] Another aspect of the present disclosure provides a vehicle operation strategy generation device based on a vehicle-ground integrated electromechanical system, comprising: an acquisition module, a determination module and a generation module. The acquisition module is configured to respond to receiving operation state information of a target vehicle on a target path, passenger state information in each compartment of the target vehicle and first running environment information within a line-of-sight range; and acquire second running environment information within the line-of-sight range when the target vehicle is at a target position; wherein the operation state information comprises an operation position and operation state information of each component on the target vehicle; the target position is located on the target path and the distance between the target position and the operation position is greater than the line-of-sight range; the determination module is configured to determine a running environment fluctuation type according to the second running environment information and the first running environment information; and the generation module is configured to generate a vehicle operation strategy by adjusting the operation state information of each component based on the running environment fluctuation type and the passenger state information in each compartment, so that the target vehicle can stably operate on the path between the target position and the current position under the condition of meeting the passenger demand.

[0013] Another aspect of the present disclosure provides a train, comprising: the above-mentioned device is arranged on the train.

[0014] Another aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned method.

[0015] Another aspect of the present disclosure provides a computer-readable storage medium, which stores computer-executable instructions, the instructions being used to implement the above-mentioned method when executed.

[0016] According to the embodiment of the present disclosure, after receiving the running state information of the vehicle, the passenger state information and the running environment information within the visual range, the running environment information outside the visual range is obtained, the type of the running environment fluctuation when the vehicle is running is determined based on the above information, and the vehicle running strategy is determined according to different types of running environment fluctuation, considering the state and demand of the passengers at the same time, so that the target vehicle can timely and accurately adjust the running strategy after the environmental fluctuation, and can ensure the stable running of the vehicle while meeting the passenger demand, improve the safety of the vehicle running, reduce the perception of the passenger to the running environment fluctuation, and improve the passenger's riding experience. BRIEF DESCRIPTION OF DRAWINGS

[0017] The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure taken in conjunction with the accompanying drawings, in which:

[0018] Figure 1 A system architecture diagram of a vehicle-ground integrated electromechanical system applicable to a vehicle running strategy generation method according to an embodiment of the present disclosure is schematically shown;

[0019] Figure 2 A flowchart of a vehicle running strategy generation method based on a vehicle-ground integrated electromechanical system according to an embodiment of the present disclosure is schematically shown;

[0020] Figure 3A An example flowchart of determining the environment fluctuation type as a catenary voltage fluctuation according to an embodiment of the present disclosure is schematically shown;

[0021] Figure 3B An example flowchart of determining the environment fluctuation type as a track state fluctuation according to an embodiment of the present disclosure is schematically shown;

[0022] Figure 3C An example flowchart of determining the environment fluctuation type as a tunnel state fluctuation according to an embodiment of the present disclosure is schematically shown;

[0023] Figure 4 A flowchart of a vehicle running strategy generation method when the catenary voltage fluctuates according to an embodiment of the present disclosure is schematically shown;

[0024] Figure 5 A flowchart of a vehicle running strategy generation method when the tunnel state fluctuates according to an embodiment of the present disclosure is schematically shown;

[0025] Figure 6 A flowchart of a vehicle running strategy generation method according to a component condition according to an embodiment of the present disclosure is schematically shown;

[0026] Figure 7A flowchart illustrating a method of generating a vehicle operation strategy according to a foreign object intrusion situation according to an embodiment of the disclosure is schematically shown;

[0027] Figure 8 A structural block diagram of a vehicle operation strategy generating apparatus based on a vehicle-ground integrated electromechanical system according to an embodiment of the disclosure is schematically shown;

[0028] Figure 9 A block diagram of an electronic device adapted to implement the method described above according to an embodiment of the disclosure is schematically shown. DETAILED DESCRIPTION

[0029] Hereinafter, embodiments of the disclosure will be described with reference to the accompanying drawings. However, it is to be understood that these descriptions are merely exemplary and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the disclosure. However, it will be apparent to one skilled in the art that one or more embodiments can be practiced without these specific details. In other instances, well-known structures and techniques have been omitted in order to avoid obscuring the concepts of the disclosure.

[0030] The terms used herein are merely used to describe specific embodiments and are not intended to limit the disclosure. The terms "include", "comprise" and the like used herein indicate the presence of the described features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0031] All terms used herein, including technical and scientific terms, have meanings commonly understood by one of ordinary skill in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having meanings consistent with the context of the specification, and should not be interpreted in an idealized or overly formal manner.

[0032] In the case of using expressions similar to "at least one of A, B, and C, etc.", in general, it should be interpreted to include one or more of the corresponding items, unless otherwise defined (for example, "a system having at least one of A, B, and C" should include, but not be limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B together, a system having A and C together, a system having B and C together, and / or a system having A, B, and C together, etc.).

[0033] In embodiments of the disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of data involved (for example, including but not limited to user personal information) comply with relevant legal regulations, are used for legal purposes, and do not violate public order and good customs. In particular, necessary measures are taken to prevent illegal access to user personal information data, and to maintain user personal information security, network security, and national security.

[0034] In the embodiments of the present disclosure, the authorization or consent of the user is obtained before the personal information of the user is acquired or collected.

[0035] When the rail vehicle is running, there are many limitations due to the limited information obtained by the vehicle itself. At present, the vehicle cannot comprehensively and real-timely understand the specific conditions of the front section during running. For example, due to the range limitation of the sight distance, the vehicle cannot obtain the foreign matter information and track condition information of the front track, so that the vehicle cannot accurately and effectively handle the abnormal situation of the running environment. For example, due to the inability to obtain the running state information of other vehicles in the same period in time, the vehicle operation and management exist the situation that the power supply system exceeds the load that can be carried, thereby causing the voltage of the power supply system to fluctuate greatly, which seriously affects the running of the vehicle. When the vehicle needs to respond to the sudden change of the running environment in a short time, it usually needs to take emergency measures, which is easy to cause the passengers to panic and reduce the passenger's riding experience.

[0036] When the rail vehicle faces the above-mentioned sudden situation, due to the limitation of the above-mentioned information, the vehicle appears emergency deceleration or braking when facing the sudden situation, which reduces the safety and stability of the rail vehicle running. At the same time, the above-mentioned running adjustment strategy does not consider the demand of the passengers, which seriously affects the riding experience of the passengers and increases the uncertainty and risk of the trip.

[0037] Therefore, the embodiments of the present disclosure provide that after receiving the running state information of the vehicle, the passenger state information and the running environment information within the sight distance range, the running environment information outside the sight distance range is obtained, based on the above-mentioned information, the type of the running environment fluctuation of the vehicle during running is determined, according to different types of the running environment fluctuation, the state and demand of the passengers are considered, and then the running strategy of the vehicle is determined, so that the target vehicle can timely and accurately adjust the running strategy after the environment fluctuation, and can ensure the stable running of the vehicle under the condition of meeting the demand of the passengers, which improves the safety of the vehicle running, reduces the perception of the passengers to the running environment fluctuation, and improves the riding experience of the passengers.

[0038] The vehicle-ground integrated electromechanical system can realize real-time monitoring and information sharing of the running state of the vehicle through integration of the rail vehicle, the ground infrastructure and the cloud service, and can be applied to intelligent running control and management of the rail vehicle.

[0039] Figure 1 The system architecture diagram of the vehicle-ground integrated electromechanical system applicable to the vehicle running strategy generation method according to the embodiments of the present disclosure is schematically shown. It should be noted that, Figure 1The shown is only an example of a system architecture to which the embodiments of the present disclosure can be applied, to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.

[0040] As shown, the vehicle-ground integrated electromechanical system architecture 100 according to the embodiment includes a vehicle system 101, a vehicle-ground cooperative power supply system 102, a vehicle-mounted track detection system 103, a vehicle-ground cooperative maintenance system 104, and a vehicle-ground cooperative passenger service system 105, wherein the vehicle includes a vehicle network control system TCMS subsystem 101-1, a vehicle-mounted PHM 101-2, a vehicle-mounted track detection subsystem 101-3, and a vehicle-mounted PIS subsystem 101-4. Figure 1

[0041] The vehicle network control TCMS subsystem 101-1 can obtain information such as the positioning of the vehicle and the running state of the vehicle in real time. The vehicle-ground cooperative power supply system 102 can adjust the power supply of the vehicle in real time according to the network communication with the vehicle network control TCMS subsystem 101-1, provide the vehicle with traction force adapted to its running state, and realize the adjustment of the running state of the traction components of the vehicle system 101 to meet the running of the vehicle system 101 at the target running speed.

[0042] The vehicle-mounted track detection system 103 includes detection of track state information such as track geometric parameters and track wear conditions, detection of tunnel state information such as tunnel surface and tunnel air changes, and detection of contact network state information such as contact network geometric parameters and contact network voltage fluctuations. The above detection can be realized by collecting relevant images through sensors and performing image recognition or by intelligent devices to obtain detection results in real time. The vehicle-mounted track detection system 103 can communicate with the vehicle-mounted track detection subsystem 101-3 through network communication, so that the vehicle system 101 can obtain the running environment information of the vehicle in real time, and further determine the running environment fluctuation. The vehicle-mounted track detection system 103 can also send foreign matter intrusion track information to the vehicle-mounted track detection subsystem 101-3, and detect and send danger prompt information that is out of the visual range of the vehicle system 101 in real time.

[0043] The vehicle-ground cooperative maintenance system 104 can communicate with the vehicle-mounted PHM 101-2 through network communication to obtain important fault data of the train. The vehicle system 101 can also obtain maintenance record information of each component of the vehicle through network communication between the vehicle-ground cooperative maintenance system 104.

[0044] ​The vehicle-ground cooperative passenger service system 105 can obtain real-time video monitoring images, congestion detection information, passenger quantity information and the like in the vehicle compartment by communicating with the vehicle-mounted PIS subsystem 101-4, and send early warning broadcast information and the like to the vehicle-mounted PIS subsystem 101-4. Meanwhile, the vehicle-mounted PIS subsystem can obtain passenger identity information, passenger physical condition and the like by communication.

[0045] The above vehicle-ground integrated electromechanical system realizes real-time communication and data interaction between the vehicle and the ground, and provides a good information basis for determining the vehicle operation strategy under different conditions.

[0046] It should be understood that Figure 1 The number of system modules in the system 100 is only illustrative. Depending on the implementation needs, there can be any number and function of system modules.

[0047] Figure 2 An illustrative flowchart of a vehicle operation strategy generation method based on a vehicle-ground integrated electromechanical system according to an embodiment of the present disclosure is shown.

[0048] As shown in Figure 2 The method 200 includes operations S210-S230.

[0049] At operation S210, in response to receiving the operation state information of the target vehicle on the target path, the passenger state information in each vehicle compartment in the target vehicle, and the first running environment information within the line-of-sight range, the second running environment information within the line-of-sight range when the target vehicle is at the target position is obtained.

[0050] At operation S220, the running environment fluctuation type is determined according to the second running environment information and the first running environment information.

[0051] At operation S230, based on the running environment fluctuation type and the passenger state information in each vehicle compartment, the vehicle operation strategy is generated by adjusting the operation state information of each component.

[0052] According to an embodiment of the present disclosure, the target vehicle includes a vehicle running according to a route in a running scheduling plan, and the target path includes a running route set according to the running scheduling plan, which is not limited here.

[0053] The operation state information includes the target vehicle number, the running speed, the running position, the running mileage, and the operation state information of each component on the target vehicle, wherein the operation state information of each component on the target vehicle includes the operation parameters of key components such as the pantograph and the running part.

[0054] The target position is located on the target path, and the distance between the target position and the running position is greater than the line-of-sight range.

[0055] The first operation environment information includes operation state information of the target vehicle at the current position, and further includes voltage state, track state and tunnel state information of the catenary corresponding to the operation position. Similarly, the second operation environment information includes operation state information at the target position, and further includes voltage state, track state and tunnel state information of the catenary corresponding to the target position.

[0056] Different operation environments will produce different environmental fluctuations, which will affect the operation state of the vehicle. Therefore, the type of existing operation environment fluctuation can be determined according to the first operation environment information of the current position and the second operation environment information of the target position, and the operation strategy of the vehicle can be adjusted accordingly.

[0057] According to an embodiment of the present disclosure, the passenger state information in the vehicle compartment includes the number of passengers in the vehicle compartment, the crowdedness in the vehicle compartment, the physical condition of the passengers in the vehicle compartment, and the special needs of the passengers in the vehicle compartment.

[0058] For the healthy and long-term development of rail transit, passenger service level and ride experience are important evaluation indexes. When performing operation scheduling of the vehicle, the actual ride situation and individualized ride needs of passengers are considered, and the formulated vehicle operation scheduling and control strategy can effectively improve the passenger service level and ride experience. Therefore, the vehicle operation strategy generation method in the present disclosure is determined by obtaining the passenger state information in the vehicle compartment and the type of operation environment fluctuation, so as to provide passengers with safer and more comfortable ride experience.

[0059] According to an embodiment of the present disclosure, after receiving the operation state information of the vehicle, the passenger state information and the operation environment information within the visual range, the operation environment information outside the visual range is obtained, the type of operation environment fluctuation when the vehicle is running is determined based on the above information, the vehicle operation strategy is determined according to different types of operation environment fluctuation, considering the state and needs of passengers, so that the target vehicle can be processed in time and accurately after the occurrence of environmental fluctuation, and the stable operation of the vehicle can be ensured under the condition of meeting the needs of passengers, thereby improving the safety of vehicle operation and improving the ride experience of passengers.

[0060] According to an embodiment of the present disclosure, the running environment fluctuation information is generated according to the second running environment information and the first running environment information, including: in response to a difference between the voltage state of the first catenary corresponding to the current position and the voltage state of the second catenary corresponding to the target position being greater than a predetermined voltage fluctuation threshold, determining that the environment fluctuation type is catenary voltage fluctuation; in response to a difference between the smooth state of the first track corresponding to the current position and the smooth state of the second track corresponding to the target position being greater than a predetermined track fluctuation threshold, determining that the environment fluctuation type is track state fluctuation; and in response to a difference between the first tunnel state corresponding to the current position and the second tunnel state corresponding to the target position being greater than a predetermined state threshold, determining that the environment fluctuation type is tunnel state fluctuation.

[0061] According to an embodiment of the present disclosure, the voltage state of the catenary is different according to the track type. For a rail vehicle, the voltage level of the catenary is generally single-phase power frequency alternating current between 25KV and 30KV. When the train is running, the voltage of the catenary may be affected by various factors and fluctuate, for example, the vehicle requires a large starting power when starting and running, which will cause a large voltage drop of the catenary and the traction station bus. This sudden change in load will cause voltage fluctuation. In order to ensure the normal operation of the train and the safety of passengers, the voltage of the catenary must be kept within a certain stable range. Therefore, according to the relationship between the difference between the voltage state of the catenary at the current position of the train and the voltage state at the target position of the train and the voltage fluctuation threshold, it can be determined whether there is a large voltage fluctuation of the catenary that affects the train, and then a targeted operation strategy is provided.

[0062] Figure 3A An example flowchart for determining that the environment fluctuation type is catenary voltage fluctuation according to an embodiment of the present disclosure is schematically shown.

[0063] As shown in Figure 3A According to the voltage state 3211 of the catenary at the current position a of the train and the voltage state 3212 of the catenary at the target position b, the voltage state difference value X 3213 is determined, and then the voltage fluctuation value Y 3214 is generated. The relationship between the voltage fluctuation value Y 3214 and the predetermined voltage fluctuation threshold M 3215 is compared. When the voltage fluctuation value Y is greater than the predetermined voltage fluctuation threshold M, it is determined that the environment fluctuation type is catenary voltage fluctuation 3216.

[0064] According to embodiments of this disclosure, the track state refers to the overall condition and operational status of the track system during train operation, including the track's smoothness and electrical condition. The track's smoothness can be determined by its geometric and strength properties. For example, a smooth track state could be a track inclination of 15° at position p, or the track at position p could withstand a vehicle speed of 150 km / h. When the track has a good smoothness, it ensures that the train maintains a stable running trajectory during operation, reducing vibration and swaying caused by changes in the track's smoothness.

[0065] Figure 3B An example flowchart illustrating the determination of environmental fluctuation type as orbital state fluctuation according to an embodiment of the present disclosure is shown.

[0066] like Figure 3B As shown, based on the smoothness state 3221 of the track at the current position a of the train and the smoothness state 3222 of the track at the target position b, the difference value Z 3223 between the two smoothness states is determined. The relationship between the difference value Z 3223 and the predetermined track fluctuation threshold N 3224 is compared. When the difference value Z is greater than the predetermined track fluctuation threshold N, the environmental fluctuation type is determined to be track state fluctuation 3225.

[0067] According to embodiments of this disclosure, the tunnel status of a vehicle includes the length of the tunnel when it is at the target location, the tunnel structure, the wind speed and airflow pressure inside the tunnel, etc.

[0068] When a vehicle enters a tunnel, the air in front of the vehicle is compressed and cannot be expelled from the tunnel entrance in time, causing a rapid increase in pressure and creating a compression wave at the entrance. When the rear of the train enters the tunnel, the pressure behind the train drops rapidly because the air in the tunnel cannot be replenished in time, forming an expansion wave.

[0069] After a portion of the compression wave and expansion wave at the tunnel exit transforms into each other, they are reflected back towards the tunnel entrance. If the tunnel is long, the pressure waves inside will repeatedly act on the train, causing drastic changes in the train's surface pressure within a short period. If the train has poor airtightness, these drastic pressure changes outside the train will be transmitted into the interior, causing sudden pressure changes inside the train, resulting in tinnitus for passengers and affecting ride comfort. Simultaneously, due to the influence of tunnel pressure waves, the aerodynamic forces experienced by the train inside the tunnel will become unbalanced, leading to significantly more severe wear between the train wheels and rails compared to conditions of completely open track operation. Adopting inappropriate operating conditions for different tunnel conditions can seriously affect the safety, stability, and passenger experience of train operation. Therefore, adjusting the train's operating conditions according to different tunnel conditions is essential.

[0070] Figure 3CAn example flowchart of determining the environment fluctuation type as a tunnel state fluctuation according to an embodiment of the present disclosure is schematically shown.

[0071] As shown in FIG. 32, according to the tunnel state 3231 at the current position a of the train and the tunnel state 3232 at the target position b, a tunnel state difference value W 3233 is determined, and a relationship between the tunnel state difference value W 3233 and a predetermined state threshold Q 3234 is compared, when the tunnel state difference value W is greater than the predetermined state threshold Q, the environment fluctuation type is determined as a tunnel state fluctuation 3235. Figure 3C

[0072] According to an embodiment of the present disclosure, according to the voltage state of the catenary, the smoothness state of the track and the tunnel state information contained in the first and second running environment information, the state information at the current position is compared with the state information at the target position, the difference between the two is determined, and based on the relationship between the difference value and the predetermined threshold, the environment fluctuation type is determined, and then the strategy for vehicle operation is provided, the processing speed of the train operation in the face of different environmental conditions is improved, a more targeted and flexible strategy is provided, the stability and safety of the vehicle operation are improved, and the passenger's riding experience is improved.

[0073] Figure 4 An example flowchart of a vehicle operation strategy generation method when the catenary voltage fluctuates according to an embodiment of the present disclosure is schematically shown.

[0074] As shown in FIG. 32, according to the tunnel state 3231 at the current position a of the train and the tunnel state 3232 at the target position b, a tunnel state difference value W 3233 is determined, and a relationship between the tunnel state difference value W 3233 and a predetermined state threshold Q 3234 is compared, when the tunnel state difference value W is greater than the predetermined state threshold Q, the environment fluctuation type is determined as a tunnel state fluctuation 3235. Figure 4

[0075] In operation S421, in response to the environment fluctuation type being a catenary voltage fluctuation, the load state of the electrical equipment in each car is adjusted according to the passenger number distribution state in each car.

[0076] In operation S422, based on the target time when the target vehicle arrives at the target position, the vehicle flow through the target position at the target time is obtained from the train-ground integrated electromechanical system.

[0077] In operation S423, it is judged whether the vehicle flow is less than a predetermined flow threshold, when the judgment result is yes, operation S424 is executed, and when the judgment result is no, operation S425 is executed.

[0078] In operation S424, a vehicle operation strategy is generated at the current running speed and the adjusted load state of the electrical equipment in each car.

[0079] In operation S425, the current running speed is reduced, and a vehicle operation strategy is generated according to the reduced running speed and the adjusted load state of the electrical equipment in each car.

[0080] ​​According to an embodiment of the present disclosure, voltage fluctuation can cause instability of the train power supply system, thereby affecting the power output and control system of the train, which can cause uneven acceleration, sudden deceleration or jolting of the train during travel, or even failure of the train to operate normally, thereby reducing the comfort of passengers or travel plans. Voltage fluctuation can also cause abnormal operation of devices on the train, such as lighting systems, air conditioning systems, train broadcasting systems, or information display systems, for example, flickering lights, unstable air conditioning temperature, and the like, which can directly affect the passenger experience. In extreme cases, voltage fluctuation can cause the train control system to fail or the safety device to malfunction. This can cause the train to fail to stop in time, fail to accurately control the speed, and the like, thereby increasing the safety risk of train operation.

[0081] When the power consumption equipment or power supply demand in the same period is too large, exceeding the power load that the power supply system can bear, voltage fluctuation is likely to occur. Therefore, in order to reduce or prevent catenary voltage fluctuation, the catenary voltage fluctuation can be reduced by reasonably distributing the load of the power consumption equipment and adjusting the power, thereby ensuring the stability of the power grid operation.

[0082] According to an embodiment of the present disclosure, the passenger quantity distribution state can be determined according to the crowdedness of the car, the number of passengers in the car, and the type of passengers, including the uniformity of the distribution, the density of the distribution, and the group of the distribution. When voltage fluctuation occurs, the load state of the power consumption equipment in each car can be adjusted according to the passenger quantity distribution state in the car, so as to reduce the power consumption load of the target vehicle, thereby reducing the voltage fluctuation. For example, the passenger quantity distribution state in the x car is obtained as follows: the front section of the car is unevenly distributed, the passenger density is large, the passenger type is mainly young adults, the middle section of the car is evenly distributed, the passenger density is moderate, and the passenger type is women, and the rear section of the car is unevenly distributed, the passenger density is low, and the passenger type is young. According to the above passenger quantity distribution state in the car, the intensity and number of air conditioning and lighting equipment in the middle and rear sections of the car can be reduced.

[0083] According to an embodiment of the present disclosure, when the vehicle flow is large in the same period, the required electric energy of the vehicle can reach a large peak value. Therefore, at the target time, the vehicle running speed can be adjusted according to the relationship between the vehicle flow of the target vehicle passing through the target position and the threshold value, so as to reduce the vehicle flow in the same period, thereby reducing the total power consumption and reducing voltage fluctuation. For example, the vehicle flow of vehicle y at the next station k at time t is obtained as 4 vehicles, which is greater than the predetermined flow threshold value of 3 vehicles. At this time, the running speed of vehicle y is reduced, so that the vehicle flow is less than the threshold value when passing through the next station k at time t.

[0084] According to an embodiment of the present disclosure, based on the passenger quantity distribution state obtained from the vehicle-ground integrated electromechanical system and the vehicle flow of the target position at the target time, the load state of the electrical equipment in each car and the running speed of the vehicle are adjusted, the total power consumption of the vehicle running is reduced, the voltage fluctuation is reduced, the stability and safety of the vehicle running are improved, and the passenger riding experience is improved while meeting the passenger demand and the normal running scheduling of the vehicle.

[0085] According to an embodiment of the present disclosure, based on the running environment fluctuation type and the passenger state information in each car, the running state information of each component is adjusted to generate a vehicle running strategy, including: in response to the running environment fluctuation type being a geometric property fluctuation and a strength fluctuation of the track, a first speed reduction strategy is generated according to the current running speed, the distance between the target position and the current position, and the physical state of the passengers; and the running state of the traction component of the target vehicle is adjusted based on the first speed reduction strategy, so that the target vehicle slows down and smoothly passes through the damaged track.

[0086] According to an embodiment of the present disclosure, the track state fluctuation of the track includes a geometric property fluctuation and a strength fluctuation of the track. The geometric property of the track includes the straightness of the track, the bending curvature and its uniformity of the track curve radius, the track gauge constancy, etc. The strength property of the track includes the size of the vehicle running speed and pressure that the track can withstand after the track surface has pits, bumps or uneven wear due to long-time running. When the geometric property fluctuation and the strength fluctuation of the track occur, the vehicle often needs to reduce the running speed, for example, the track of the front section has been used for a long time, and the track surface is severely worn, so the running speed it can withstand is less than the running speed at the current position, and speed reduction processing is needed.

[0087] For passengers with special diseases, such as acute coronary syndrome, when facing a sharp decrease in vehicle running speed, the passenger's symptoms may worsen, so a reasonable speed reduction strategy needs to be generated according to the current running speed, the distance between the target position and the current position, and the physical state of the passengers.

[0088] According to an embodiment of the present disclosure, the first speed reduction strategy can be a stepwise speed reduction, that is, maintaining a certain speed for a period of time and then reducing the speed, and so on, to achieve smooth speed reduction. The first speed reduction strategy can also be a uniform speed reduction, that is, reducing the speed at a constant acceleration to ensure smooth running of the vehicle.

[0089] The running state of the traction component includes the running parameters of the key components of the vehicle traction transmission system, such as the voltage and frequency of the traction inverter. By controlling the running parameters of the key traction components, the running speed and state of the vehicle can be effectively controlled.

[0090] According to the embodiment of the present disclosure, when the vehicle appears a running environment fluctuation of a tunnel state fluctuation, a safe and humanized speed reduction strategy can be generated according to the current running speed, the distance between the target position and the current position, and the passenger body state, so that the target vehicle slows down and smoothly passes through the tunnel, improves the safety and stability of the vehicle running, and improves the passenger riding experience.

[0091] Figure 5 A flowchart of a vehicle running strategy generation method in a tunnel state fluctuation according to an embodiment of the present disclosure is schematically shown.

[0092] As shown in Figure 5 The method 500 includes operations S521-S526.

[0093] In operation S521, in response to the running environment fluctuation type being a tunnel state fluctuation, the resistance generated by the change of air in the tunnel to the running of the target vehicle when the target vehicle reaches the tunnel located at the target position is calculated according to the current running speed.

[0094] In operation S522, it is judged whether the resistance is less than a predetermined resistance threshold value, and when the judgment result is yes, operation S523 is performed, and when the judgment result is no, operation S524 is performed.

[0095] In operation S523, the target running speed is calculated according to the predetermined resistance threshold value.

[0096] In operation S524, the target vehicle smoothly passes through the front track at the current running speed.

[0097] In operation S525, a second speed reduction strategy is generated according to the current running speed, the target running speed, the passenger state information in each car, and the distance between the target position and the current position.

[0098] In operation S526, the running state of the traction component of the target vehicle is adjusted based on the second speed reduction strategy, so that the target vehicle slows down and smoothly passes through the front tunnel.

[0099] According to the embodiment of the present disclosure, the vehicle running in the tunnel is the most complex and severe running condition, and the surface pressure amplitude of the train in the tunnel is much larger than that of the train running in the open line. When the vehicle runs in the tunnel, the change of air in the tunnel generates different resistance to the running of the vehicle. When the resistance is too large, the larger running speed will cause greater damage to the surface components of the vehicle, and may cause unpredictable risks. At the same time, when the resistance is too large, the larger running speed will generate strong air flow, causing the vehicle to vibrate, the noise is large, and the riding experience is not good. Therefore, it is necessary to calculate the resistance generated by the vehicle running according to the change of air in the tunnel, and generate a corresponding speed reduction strategy.

[0100] The second speed reduction strategy is determined based on the current running speed, the target running speed, the passenger state information in each carriage and the distance between the target position and the current position, and includes a stepwise speed reduction and a uniform speed reduction.

[0101] According to the embodiment of the present disclosure, when the running environment fluctuation type is a tunnel state fluctuation, the resistance to the running of the target vehicle caused by the change of the air in the tunnel when the target vehicle reaches the tunnel located at the target position is calculated according to the current running speed, and compared with a predetermined resistance threshold value, when the resistance is greater than the predetermined resistance threshold value, the target running speed is calculated, and a reasonable speed reduction strategy is generated according to the current running speed, the target running speed, the passenger state information in each carriage and the distance between the target position and the current position. The above-mentioned speed reduction strategy takes into account the specific situation of different tunnels, and also takes into account the state of the passengers, ensuring that the vehicle can run smoothly when entering and leaving the tunnel, and improving the passenger's riding experience.

[0102] Figure 6 A flowchart of a method for generating a vehicle running strategy according to the condition of a component according to an embodiment of the present disclosure is schematically shown.

[0103] As shown in Figure 6 , the method 600 includes operations S601-S605.

[0104] In operation S601, maintenance record information of each component of the target vehicle is obtained.

[0105] In operation S602, the fatigue resistance degree of each component is generated according to the running state information and the maintenance record information of each component.

[0106] In operation S603, it is judged whether the fatigue resistance degree is less than a predetermined threshold value, when the judgment result is yes, operation S604 is executed, and when the judgment result is no, operation S605 is executed.

[0107] In operation S604, fault warning information is sent to the vehicle-ground integrated electromechanical system and the running speed is reduced.

[0108] In operation S605, the vehicle is run according to the predetermined vehicle running strategy.

[0109] According to the embodiment of the present disclosure, the maintenance record information of each component includes the number of times of maintenance of each component, the time of maintenance, the expected use time after maintenance and the like.

[0110] According to the operation state information and the maintenance record information of each component, the fatigue resistance degree of each component can be calculated by comprehensively calculating the use score of the component based on the operation state information and the maintenance record information of each component, and determining the fatigue resistance degree of the component according to the corresponding relationship between the component use score and the fatigue resistance degree grade of each component, for example, the component x has been running for 5 years and has been maintained for 3 times, and the corresponding fatigue resistance degree grade is level 2. The fatigue resistance degree of each component can also be calculated by inputting the operation state information and the maintenance record information of each component into a mathematical model, wherein the mathematical model can be obtained by training a neural network model.

[0111] When the fatigue resistance degree is less than the fatigue resistance degree required by each component corresponding to the resistance, it indicates that the component cannot cope with the subsequent environmental fluctuation, which is likely to cause a larger vehicle operation danger. At this time, the fault warning information needs to be sent to the vehicle-ground integrated electromechanical system and the running speed needs to be reduced, so that the target vehicle stops before reaching the target position.

[0112] According to the embodiments of the present disclosure, by obtaining the operation state information and the maintenance record information of each component, the fatigue resistance degree of each component is determined, and the current operation scheme is evaluated based on the obtained fatigue resistance degree in the face of the environmental fluctuation, if the safe operation condition is not met, the fault warning information is sent to the vehicle-ground integrated electromechanical system to solve the possible safety hazard and improve the safety of vehicle operation.

[0113] Figure 7 The flowchart of the method for generating a vehicle operation strategy according to the foreign object intrusion situation according to the embodiments of the present disclosure is schematically shown.

[0114] As shown in Figure 7 , the method 700 includes operations S701-S705.

[0115] In operation S701, in response to receiving foreign object intrusion track information from a target position, the foreign object moving speed and the foreign object moving direction are extracted from the foreign object intrusion track information.

[0116] In operation S702, the probability of collision between the target vehicle and the foreign object is determined according to the foreign object moving direction, the foreign object moving speed and the current running state of the target vehicle.

[0117] In operation S703, it is judged whether the probability is greater than a predetermined probability threshold, when the judgment result is yes, operation S704 is executed, and when the judgment result is no, operation S705 is executed.

[0118] In operation S704, the running state of the traction component of the target vehicle is adjusted.

[0119] In operation S705, the vehicle is operated according to a predetermined vehicle operation strategy.

[0120] According to an embodiment of the present disclosure, the foreign matter invading the track is one of the sudden situations that often occur when the vehicle is running. Since the foreign matter has a certain speed, if it collides with the running vehicle, it will cause unpredictable loss and harm. Therefore, when the foreign matter invades the track, the foreign matter invasion information needs to be known in advance to generate an effective vehicle running strategy for this situation.

[0121] The foreign matter invading the track information is obtained through the vehicle-ground integrated electromechanical system. The key information of the foreign matter invading the track information includes the foreign matter moving speed and the foreign matter moving direction. According to the foreign matter moving direction, the foreign matter moving speed and the current running state of the target vehicle, the probability of the target vehicle colliding with the foreign matter can be determined. If the collision probability is greater than a threshold value, the running state of the traction component of the target vehicle needs to be adjusted to reduce the vehicle running speed, change the vehicle running route or stop the vehicle running.

[0122] For example, at time t, the vehicle x is about to run to position z. At this time, the foreign matter invading the track information of position z is that a bird passes above the track of position z at a moving speed of a. According to the above information, the probability of the vehicle colliding with the bird is 2%, which is greater than the predetermined threshold value 0.01%. At this time, the running state of the traction component of the target vehicle is adjusted to reduce the running speed of the target vehicle until the probability is less than the predetermined probability threshold value.

[0123] According to an embodiment of the present disclosure, by timely obtaining the foreign matter invading the track information from the target position, extracting the foreign matter moving speed and the foreign matter moving direction, and then calculating the probability of the target vehicle colliding with the foreign matter, the relationship between the probability of the target vehicle colliding with the foreign matter and the probability threshold value is judged. The running state of the traction component of the vehicle is timely adjusted to avoid the occurrence of the vehicle colliding with the foreign matter event and the occurrence of the dangerous accident, improve the safety of the vehicle running, and because the foreign matter in the beyond-visual-range is perceived in advance and the strategy is adjusted, not only the risk existing when the vehicle is running is reduced, but also the perception of the passengers to the abnormal situation is reduced, further improving the passenger riding experience.

[0124] Based on the above vehicle running strategy generation method based on the vehicle-ground integrated electromechanical system, the present disclosure also provides a vehicle running strategy generation device based on the vehicle-ground integrated electromechanical system. The following will be combined with Figure 8 The device will be described in detail.

[0125] Figure 8 The structure block diagram of the vehicle running strategy generation device based on the vehicle-ground integrated electromechanical system according to an embodiment of the present disclosure is schematically shown.

[0126] As Figure 8 shown, the abnormal equipment identification device 800 of this embodiment includes an acquisition module 810, a determination module 820 and a generation module 830.

[0127] The acquisition module 810 is configured to acquire running state information of the target vehicle on the target path, passenger state information in each carriage of the target vehicle, and first running environment information within the visual range; acquire second running environment information within the visual range when the target vehicle is at the target position; and wherein the running state information comprises running positions and running state information of each component on the target vehicle; the target position is located on the target path, and the distance between the target position and the running position is greater than the visual range. In an embodiment, the acquisition module 810 can be configured to perform the operation S210 described above, and details are not repeated here.

[0128] The determination module 820 is configured to determine the running environment fluctuation type according to the second running environment information and the first running environment information. In an embodiment, the determination module 820 can be configured to perform the operation S220 described above, and details are not repeated here.

[0129] The generation module 830 is configured to generate a vehicle running strategy by adjusting the running state information of each component based on the running environment fluctuation type and the passenger state information in each carriage, so that the target vehicle can stably run on the path between the target position and the current position while meeting the passenger demand. In an embodiment, the generation module 830 can be configured to perform the operation S230 described above, and details are not repeated here.

[0130] According to an embodiment of the present disclosure, the determination module comprises a voltage fluctuation determination submodule, a track state fluctuation determination submodule, and a tunnel state fluctuation determination submodule.

[0131] The voltage fluctuation determination submodule is configured to determine that the environment fluctuation type is a catenary voltage fluctuation in response to a difference between a voltage state of a first catenary corresponding to the current position and a voltage state of a second catenary corresponding to the target position being greater than a predetermined voltage fluctuation threshold. The track state fluctuation determination submodule is configured to determine that the environment fluctuation type is a track state fluctuation in response to a difference between a smooth state of a first track corresponding to the current position and a smooth state of a second track corresponding to the target position being greater than a predetermined track fluctuation threshold. The tunnel state fluctuation determination submodule is configured to determine that the environment fluctuation type is a tunnel state fluctuation in response to a difference between a first tunnel state corresponding to the current position and a second tunnel state corresponding to the target position being greater than a predetermined state threshold.

[0132] According to an embodiment of the present disclosure, the generation module comprises a load adjustment submodule, a vehicle flow acquisition submodule, and a first strategy generation submodule.

[0133] The load adjustment submodule is configured to, in response to the environment fluctuation type being catenary voltage fluctuation, adjust the load state of the electrical equipment in each carriage according to the passenger quantity distribution state in each carriage, so as to reduce the electrical load of the target vehicle. The vehicle flow acquisition submodule is configured to acquire, based on a target time at which the target vehicle arrives at the target position, vehicle flow at the target position at the target time from the vehicle-ground integrated electromechanical system. The first strategy generation submodule is configured to generate a vehicle operation strategy according to the vehicle flow and the adjusted load state of the electrical equipment in each carriage.

[0134] According to an embodiment of the present disclosure, the first strategy generation submodule includes a first strategy generation unit and a second strategy generation unit. The first strategy generation unit is configured to, in response to the vehicle flow being less than a predetermined flow threshold, generate a vehicle operation strategy according to the current running speed and the adjusted load state of the electrical equipment in each carriage. The second strategy generation unit is configured to, in response to the vehicle flow being greater than or equal to the predetermined flow threshold, reduce the current running speed, and generate a vehicle operation strategy according to the reduced running speed and the adjusted load state of the electrical equipment in each carriage, so that when the target position is reached at the reduced running speed, the vehicle flow at the target position is less than the predetermined flow threshold.

[0135] According to an embodiment of the present disclosure, the generation module further includes a first speed reduction strategy generation submodule and a first traction component adjustment submodule. The first speed reduction strategy generation submodule is configured to, in response to the running environment fluctuation type being track geometric attribute fluctuation and intensity fluctuation, generate a first speed reduction strategy according to the current running speed, the distance between the target position and the current position, and the passenger body state. The first traction component adjustment submodule is configured to adjust the running state of the traction component of the target vehicle based on the first speed reduction strategy, so that the target vehicle slows down and smoothly passes through the damaged track.

[0136] According to an embodiment of the present disclosure, the generation module further includes a resistance calculation submodule, a target running speed calculation submodule, a second speed reduction strategy generation submodule, and a second traction component adjustment submodule. The resistance calculation submodule is configured to, in response to the running environment fluctuation type being tunnel state fluctuation, calculate the resistance generated by the change of air in the tunnel to the running of the target vehicle when the target vehicle reaches the tunnel located at the target position, according to the current running speed. The target running speed calculation submodule is configured to, when the resistance is greater than a predetermined resistance threshold, calculate a target running speed according to the predetermined resistance threshold. The second speed reduction strategy generation submodule is configured to generate a second speed reduction strategy according to the current running speed, the target running speed, the passenger state information in each carriage, and the distance between the target position and the current position. The second traction component adjustment submodule is configured to adjust the running state of the traction component of the target vehicle based on the second speed reduction strategy, so that the target vehicle slows down and smoothly passes through the front tunnel.

[0137] According to an embodiment of the present disclosure, the device further includes a maintenance record information obtaining module, a fatigue resistance degree generating module, and a speed reduction sending module. The maintenance record information obtaining module is configured to obtain maintenance record information of each component of the target vehicle. The fatigue resistance degree generating module is configured to generate a fatigue resistance degree of each component according to the operation state information and the maintenance record information of each component. The speed reduction sending module is configured to, in response to the fatigue resistance degree being less than a fatigue resistance degree required by each component corresponding to the resistance, send a fault warning information to the vehicle-ground integrated electromechanical system and reduce the operation speed, so that the target vehicle stops before reaching the target position.

[0138] According to an embodiment of the present disclosure, the device further includes an extraction module, a probability determining module, and an adjustment module. The extraction module is configured to, in response to receiving the foreign matter invasion track information from the target position, extract a foreign matter moving speed and a foreign matter moving direction from the foreign matter invasion track information. The probability determining module is configured to determine a probability of the target vehicle colliding with the foreign matter according to the foreign matter moving direction, the foreign matter moving speed, and a current operation state of the target vehicle. The adjustment module is configured to, in response to the probability being greater than a predetermined probability threshold, adjust an operation state of a traction component of the target vehicle, so that the target vehicle reduces the operation speed until the probability is less than the predetermined probability threshold.

[0139] Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure, or at least part of the functions of any one or more of the modules, sub-modules, units, sub-units can be implemented in one module. Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure can be split into multiple modules for implementation. Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on substrate, a system on package, an application specific integrated circuit (ASIC), or any other reasonable way of hardware or firmware by integrating or packaging the circuit, or in any one of software, hardware, and firmware or in a proper combination of any of the above. Alternatively, one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure can be at least partially implemented as computer program modules that can perform corresponding functions when the computer program modules are run.

[0140] For example, any plurality of the acquisition module 810, determination module 820, and generation module 830 can be combined into one module / unit / subunit, or any one of these modules / units / subunits can be split into multiple modules / units / subunits. Alternatively, at least part of the functionality of one or more of these modules / units / subunits can be combined with at least part of the functionality of other modules / units / subunits and implemented in one module / unit / subunit. According to embodiments of this disclosure, at least one of the acquisition module 810, determination module 820, and generation module 830 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, at least one of the acquisition module 810, the determination module 820, and the generation module 830 may be implemented at least partially as a computer program module that can perform corresponding functions when the computer program module is run.

[0141] Figure 9 A block diagram of an electronic device suitable for implementing the methods described above, according to embodiments of the present disclosure, is illustrated schematically. Figure 9 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0142] like Figure 9 As shown, an electronic device 900 according to an embodiment of the present disclosure includes a processor 901, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage portion 908 into a random access memory (RAM) 903. The processor 901 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 901 may also include onboard memory for caching purposes. The processor 901 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0143] In the RAM 903, various programs and data required for the operation of the electronic device 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other via the bus 904. The processor 901 performs various operations of the method flow according to the embodiments of the present disclosure by executing the programs in the ROM 902 and / or the RAM 903. It should be noted that the programs can also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 can also perform various operations of the method flow according to the embodiments of the present disclosure by executing the programs stored in the one or more memories.

[0144] According to an embodiment of the present disclosure, the electronic device 900 can further include an input / output (I / O) interface 905, which is also connected to the bus 904. The system 900 can further include one or more of the following components connected to the input / output (I / O) interface 905: an input part 906 including a keyboard, a mouse, and the like; an output part 907 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage part 908 including a hard disk, and the like; and a communication part 909 including a network interface card such as a LAN card, a modem, and the like. The communication part 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the input / output (I / O) interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 910 as necessary, so that a computer program read therefrom is installed in the storage part 908 as necessary.

[0145] According to an embodiment of the present disclosure, the method flow according to the embodiments of the present disclosure can be implemented as a computer software program. For example, the embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable storage medium, the computer program containing program codes for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication part 909, and / or installed from the removable medium 911. When the computer program is executed by the processor 901, the above-described functions defined in the system of the embodiments of the present disclosure are performed. According to an embodiment of the present disclosure, the system, device, apparatus, module, unit, and the like described above can be implemented by computer program modules.

[0146] The present disclosure also provides a computer readable storage medium, which can be included in the device / apparatus / system described in the above embodiments, or exist separately without being assembled into the device / apparatus / system. The above computer readable storage medium carries one or more programs, which when executed, implement the method according to the embodiments of the present disclosure.

[0147] According to the embodiments of the present disclosure, the computer readable storage medium can be a non-volatile computer readable storage medium. For example, it can include, but is not limited to: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, the computer readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in connection with an instruction execution system, apparatus, or device.

[0148] For example, according to the embodiments of the present disclosure, the computer readable storage medium can include one or more memories of the ROM 902 and / or the RAM 903 described above and / or other than the ROM 902 and the RAM 903.

[0149] The embodiments of the present disclosure also include a computer program product, which includes a computer program containing program codes for executing the method provided by the embodiments of the present disclosure, and when the computer program product is run on an electronic device, the program codes are used to make the electronic device implement the method provided by the embodiments of the present disclosure.

[0150] When the computer program is executed by the processor 901, the above functions defined in the system / apparatus of the embodiments of the present disclosure are performed. According to the embodiments of the present disclosure, the above described system, apparatus, module, unit, etc. can be implemented by computer program modules.

[0151] In one embodiment, the computer program can rely on tangible storage media such as optical storage media, magnetic storage media, etc. In another embodiment, the computer program can also be transmitted, distributed, downloaded and installed in the form of signals on a network medium, and be downloaded and installed through the communication part 909 and / or installed from the detachable medium 911. The program codes contained in the computer program can be transmitted by any appropriate network medium, including but not limited to wireless, wired, etc., or any suitable combination of the foregoing.

[0152] According to embodiments of the present disclosure, program code of a computer program provided by embodiments of the present disclosure can be written in any combination of one or more programming languages, and specifically, can be implemented using a high-level procedural and / or object-oriented programming language, and / or an assembly / machine language. Programming languages include, but are not limited to, Java, C++, python, "C" language, or similar programming languages. Program code can execute entirely on a user's computing device, partly on a user device, partly on a remote computing device, or entirely on a remote computing device or server. In the latter scenario, the remote computing device can be connected to the user's computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computing device, such as through the Internet using an Internet Service Provider.

[0153] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and / or flow diagrams, and combinations thereof, can be implemented by special purpose hardware-based systems that perform the specified functions or operations, or combinations of special purpose hardware and computer instructions.

[0154] Embodiments of the present disclosure have been described above. However, these embodiments are merely intended to illustrate the present disclosure, and are not intended to limit the scope of the present disclosure. Although each of the embodiments is described above separately, this does not mean that the measures in each of the embodiments cannot be used advantageously in combination. The scope of the present disclosure is defined by the appended claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art can make various substitutions and modifications, and these substitutions and modifications should all fall within the scope of the present disclosure.

Claims

1. A vehicle operation strategy generation method based on a vehicle-ground integrated electromechanical system, characterized by, The method comprises: in response to receiving the running state information of the target vehicle on the target path, the passenger state information in each compartment of the target vehicle, and the first running environment information within the line-of-sight range; obtaining the second running environment information within the line-of-sight range when the target vehicle is at the target position; wherein the running state information comprises the running position and the running state information of each component on the target vehicle; the target position is located on the target path, and the distance between the target position and the running position is greater than the line-of-sight range; determining the running environment fluctuation type according to the second running environment information and the first running environment information; and based on the running environment fluctuation type and the passenger state information in each compartment, generating a vehicle running strategy by adjusting the running state information of each component, so that the target vehicle can stably run on the path between the target position and the current position while meeting the passenger demand; The method comprises: in response to the running environment fluctuation type being catenary voltage fluctuation, adjusting the load state of the electrical equipment in each compartment according to the passenger quantity distribution state in each compartment, so as to reduce the power consumption load of the target vehicle; based on the target time when the target vehicle reaches the target position, obtaining the vehicle flow passing through the target position at the target time from the train-ground integrated electromechanical system; and generating the vehicle running strategy according to the vehicle flow and the adjusted load state of the electrical equipment in each compartment.

2. The method of claim 1, wherein, The method comprises: in response to the difference between the voltage state of the first catenary corresponding to the current position and the voltage state of the second catenary corresponding to the target position being greater than a predetermined voltage fluctuation threshold, determining that the running environment fluctuation type is catenary voltage fluctuation; in response to the difference between the smoothness state of the first track corresponding to the current position and the smoothness state of the second track corresponding to the target position being greater than a predetermined track fluctuation threshold, determining that the running environment fluctuation type is track state fluctuation; and in response to the difference between the first tunnel state corresponding to the current position and the second tunnel state corresponding to the target position being greater than a predetermined state threshold, determining that the running environment fluctuation type is tunnel state fluctuation.

3. The method of claim 2, wherein, The method comprises: in response to the vehicle flow being less than a predetermined flow threshold, generating the vehicle running strategy with the current running speed and the adjusted load state of the electrical equipment in each compartment; and in response to the vehicle flow being greater than or equal to the predetermined flow threshold, reducing the current running speed, and generating the vehicle running strategy according to the reduced running speed and the adjusted load status of the electrical equipment in each car, so that when traveling to the target position at the reduced running speed, the vehicle flow at the target position is less than the predetermined flow threshold.

4. The method of claim 2, wherein, The method further comprises: in response to the running environment fluctuation type being a tunnel state fluctuation, calculating, according to the current running speed, a resistance generated by a change of air in a tunnel located at the target position on the target vehicle when the target vehicle arrives at the tunnel; when the resistance is greater than a predetermined resistance threshold, calculating a target running speed according to the predetermined resistance threshold; 5. The method of claim 2, wherein, generating a second speed reduction strategy according to the current running speed, the target running speed, the passenger state information in each car, and the distance between the target position and the current position; based on the second speed reduction strategy, adjusting the running state of the traction component of the target vehicle, so that the target vehicle slows down and smoothly passes through the front tunnel. The method further comprises: obtaining maintenance record information of each component of the target vehicle; generating an anti-fatigue degree of each component according to the running state information of each component and the maintenance record information; 6. The method of claim 5, wherein, in response to the anti-fatigue degree being less than the required anti-fatigue degree of each component corresponding to the resistance, sending a fault warning information to the train-ground integrated electromechanical system and reducing the running speed, so that the target vehicle stops before reaching the target position. The method further comprises: in response to receiving foreign matter intrusion track information from the target position, extracting a foreign matter moving speed and a foreign matter moving direction from the foreign matter intrusion track information; determining a probability of collision between the target vehicle and the foreign matter according to the foreign matter moving direction, the foreign matter moving speed, and the current running state of the target vehicle; and 7. The method according to any one of claims 1 to 6, characterized in that, in response to the probability being greater than a predetermined probability threshold, adjusting the running state of the traction component of the target vehicle, so that the target vehicle reduces the running speed until the probability is less than the predetermined probability threshold.

8. A vehicle running strategy generation device based on a train-ground integrated electromechanical system, comprising: ​ ​ ​ The acquisition module is configured to acquire, in response to receiving the running state information of the target vehicle on the target path, the passenger state information in each carriage of the target vehicle, and the first running environment information within the line-of-sight range; acquire second running environment information within the line-of-sight range when the target vehicle is at a target position; wherein the running state information comprises running position and running state information of each component on the target vehicle; the target position is located on the target path, and the distance between the target position and the running position is greater than the line-of-sight range; The determination module is configured to determine a running environment fluctuation type according to the second running environment information and the first running environment information; and The generation module is configured to generate a vehicle running strategy by adjusting the running state information of each component based on the running environment fluctuation type and the passenger state information in each carriage, so that the target vehicle can stably run on the path between the target position and the current position while meeting the passenger demand. The generation module comprises a load adjustment submodule, a vehicle flow acquisition submodule, and a first strategy generation submodule. The load adjustment submodule is configured to adjust the load state of the electrical equipment in each carriage according to the passenger quantity distribution state in each carriage, so as to reduce the electrical load of the target vehicle, in response to the running environment fluctuation type being catenary voltage fluctuation. The vehicle flow acquisition submodule is configured to acquire, based on a target time at which the target vehicle arrives at the target position, vehicle flow passing through the target position at the target time from a train-ground integrated electromechanical system. The first strategy generation submodule is configured to generate the vehicle running strategy according to the vehicle flow and the adjusted load state of the electrical equipment in each carriage.

9. A train comprising: The device of claim 8 is configured on the train.

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