Scheduling method and system for LNG (Liquefied Natural Gas) liquid output vehicle

Abstract

The invention relates to the technical field of storage, loading or distribution, in particular to transportation. According to the technical scheme, the method comprises the steps that the tank car dispatching state of each process node is acquired and monitored; according to the tank car dispatching state and the operation state, tank car dispatching stage statistics are obtained; calculating a waiting tank car number low value coefficient, and establishing a scheduling model; and scheduling the tank car according to the scheduling model. The system is a main control module, receives data and determines a scheduling instruction through a scheduling model; the data acquisition module is used for acquiring real-time data from the equipment and the communication module; the supervision module receives the scheduling instruction and confirms whether the scheduling instruction passes feedback to the communication module; and the communication module is used for receiving and feeding back the reservation information of the external tank car and sending a scheduling instruction to the current equipment. The problems that in the prior art, the execution efficiency is low, and coherent operation is difficult are solved, the method and system for dispatching the LNG liquid output vehicle are provided, and the purposes of ensuring dispatching fairness, being high in adaptability and keeping coherent operation are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing, loading or distribution, in particular to transportation. Background Art

[0002] LNG liquid export station operation is a complex process that is highly dependent on human participation, especially in key links such as safety inspections. The process consists of multiple stages and steps, and each link is closely linked and influences each other. Factors such as the limited number of equipment and geographical restrictions mean that the status of any link in the operation process may have a chain reaction on other links. In addition, the operation area is vast and involves a large number of people. Every increase in the number of filling skids or security inspectors will bring significant changes to the existing scheduling plan. The traditional manual judgment and call-call scheduling method can no longer meet the needs of efficient and accurate vehicle scheduling, resulting in increased idle time in the links and limited overall operation efficiency.

[0003] For example, the Chinese patent with publication number CN116307540A discloses a method, system, device and storage medium for dispatching an autonomous driving vehicle, and provides the following technical solutions. This application discloses a method, system, device and storage medium for dispatching an autonomous driving vehicle, and relates to the field of vehicle dispatching technology. The key points of its technical solutions are: the dispatching method includes: obtaining the amount of cargo generated per unit time at each cargo loading and unloading point, and the maximum cargo carrying capacity of the vehicle at a time; using several cargo loading and unloading points that match the maximum cargo carrying capacity of the vehicle as order-matching points; obtaining the amount of cargo generated in real time at each order-matching point; when the sum of the amount of cargo generated in real time at each order-matching point meets the threshold condition of the vehicle dispatching task, locking the current amount of cargo at each order-matching point, and dispatching the vehicle to each order-matching point to load cargo in turn. Through the dispatching method of this application, vehicles can be reasonably dispatched according to the quantity of cargo, and order-matching transportation at multiple points can be realized, maximizing the use of vehicle carrying capacity, and having the effect of improving operating efficiency. However, the above-mentioned autonomous driving vehicle scheduling method, system, equipment and storage medium cannot be well applied in the field of LNG liquid transportation. It is difficult to ensure the continuity of operations in a continuous process and it is difficult to achieve complete balanced control. Summary of the invention

[0004] The present invention solves the problems of low execution efficiency, difficulty in continuous operation and unbalanced control in the prior art, and proposes a scheduling method and system for LNG liquid export vehicles, achieving the goals of high automation level, ensuring scheduling fairness, strong adaptability and maintaining operation continuity.

[0005] To achieve the above object, the present invention adopts the following technical solution: A method for dispatching LNG liquid export vehicles comprises the following steps: S1: Obtain and monitor the tanker dispatching status of each process node; S2: Obtain the statistics of the tank truck dispatching stage according to the tank truck dispatching status and operation status; S3: Calculate the low value coefficient of the number of waiting tank cars and establish a scheduling model; S4: Dispatching the tank trucks according to the dispatching model.

[0006] A dispatching system for LNG liquid export vehicles, comprising: A main control module receives data from the data acquisition module and determines the scheduling instructions through the scheduling model; Data acquisition module, which obtains real-time data from devices and communication modules; The supervision module receives the dispatch instruction and confirms whether it is passed and feeds back to the communication module; The communication module receives and feeds back the reservation information of the external tank truck and sends the dispatch instruction to the existing equipment.

[0007] The advantage of this design is that, through the systematic division of steps, comprehensive monitoring and precise control of tank truck scheduling can be achieved, thereby improving scheduling efficiency and response speed.

[0008] Preferably, the tank truck scheduling status includes appointment notification check-in and waiting for security inspection and filling operations. During the tank truck scheduling process, the necessary quantitative data is recorded and counted by means of information system process records. The tank truck scheduling status is recorded as needed, and the time point of completion of each link is recorded in sequence. The sequential queue method is used to execute these process steps in sequence, and the status of each process node is monitored. Once there is a vacant position at a subsequent node, the tank truck of the previous node will be scheduled to the subsequent node. At the stage of appointment notification check-in, an estimate is made based on the status of the station scheduling, and notification is made in advance with reference to the actual distance requirements of the tank truck.

[0009] The advantage of this design is that, through the precise recording of the information system and the scheduling method of the sequential queue, the orderliness and timeliness of the scheduling process are ensured, human errors are reduced, and work efficiency is improved.

[0010] Preferably, in step S2, the tank truck status can be classified into tank truck scheduling stage statistics in turn through the time point and the scheduling status. The tank truck scheduling stage includes the waiting for scheduling notification stage, the non-arrival stage in driving, the arrival waiting stage and the operation stage. The scheduling is controlled by obtaining the tank truck scheduling stage statistics based on the number of tank trucks in the stage status.

[0011] The advantage of this design is that through phased status statistics, refined management of the entire tank truck scheduling process is achieved, improving the accuracy and controllability of scheduling.

[0012] Preferably, in the tank truck scheduling stage, the stage of not arriving at the site during driving is a variable whose time cannot be precisely controlled, and the remaining processes can obtain clear status and operation time through the on-site operation status record to carry out refined scheduling control.

[0013] The advantage of this design is that differentiated control is carried out according to the characteristics of different stages, ensuring efficient management of the controllable stage, while reasonably responding to uncontrollable factors and improving the stability of the overall scheduling.

[0014] Preferably, in the tank truck scheduling stage, the statistics of the to-be-scheduled notification stage include the number of reservations, the statistics of the driving but not-on-site stage include the number of notifications, the statistics of the arrived waiting stage include the number of waiting outside the station, the number of waiting in the parking lot inside the station, the number of waiting for security checks, and the number of queues on the roads inside the station, and the operation stage includes the number of operations in the filling area.

[0015] The advantage of this design is that the statistical items of each scheduling stage are divided in detail, making the scheduling control more targeted and detailed, and ensuring that the operating status of each link can be accurately monitored and managed.

[0016] Preferably, the step S4 includes the following steps: S4.1: Determine whether to perform scheduling based on the model. If yes, proceed to step S4.2. If no, end. S4.2: Perform dispatching, notify the reserved drivers, and calculate and determine the number of drivers that need to be notified; S4.3: Determine whether there are any tank trucks that have not been notified. If so, proceed to step S4.4. If not, end. S4.4: Notify and update the job status according to the queue number.

[0017] Preferably, in step S4, after completion, a timed scheduling method is used, and the process returns to step S1 at intervals of several minutes, and the tank truck scheduling control is re-performed according to the current tank truck execution status and records.

[0018] The advantage of this design is that, through the mechanism of timed scheduling, it can dynamically adapt to real-time changes in the station, continuously optimize scheduling control, and ensure the real-time and adaptability of the system.

[0019] Preferably, in step S3, the number of tank trucks that have not arrived is controlled by real-time calculation and judgment of the low-value coefficient of the number of waiting tank trucks, so as to establish a scheduling model to realize the scheduling control of the arrival of tank trucks.

[0020] The advantage of this design is that it uses low-value coefficients calculated in real time for dynamic control to ensure the balance of tank truck arrivals and the rationality of scheduling, avoid too many or too few waiting tank trucks, and improve overall scheduling efficiency.

[0021] Preferably, the method for calculating the low value coefficient of the number of waiting tank vehicles is: tAverage filling time: refers to the time it takes for the tank truck to leave the skid from the start of filling to the end of filling; tAverage operation time: refers to the time taken by the tank truck from entering the site to leaving the site; tOthers: refers to the time spent on other operations of the tank truck, such as multiple security checks, etc. This time is taken from the time spent on each link in the operation record (excluding waiting time in the station); tAverage arrival: refers to the average time taken by the tank truck from notification to arrival and sign-in; n: refers to the number of skids currently available for the tank truck.

[0022] Preferably, the scheduling model is: x Number of waiting at the site: refers to the number of tank trucks waiting during the entire process of arrival; x Number of tank trucks that have not arrived: refers to the number of tank trucks that have not signed in after receiving notification; tAverage filling time: refers to the time it takes for the tank truck to leave the skid from the start of filling to the end of filling; tAverage operation time: refers to the time taken by the tank truck from entering the site to leaving the site; tAverage arrival: refers to the average time taken by the tank truck from notification to arrival and sign-in; n: refers to the number of skids currently available for the tank car; k: Low value coefficient of the number of waiting tank cars.

[0023] Compared with the prior art, the invention has the following beneficial effects.

[0024] 1. The present invention realizes the comprehensive digitalization and automated management of the LNG liquid export vehicle scheduling process. The traditional scheduling method that relies on human experience and manual operation often has problems of low efficiency and slow response speed. The present invention can make scheduling decisions quickly and accurately by real-time monitoring of the tank truck scheduling status of each process node, combined with quantitative data analysis, greatly shortening the tank truck waiting time and improving overall operating efficiency. In addition, the automated scheduling process reduces human intervention, reduces the risk of operational errors, and ensures the continuity and stability of the scheduling process. This not only improves the operating efficiency of the LNG receiving station, but also saves a lot of human resource costs for the enterprise, making scheduling management more efficient and reliable.

[0025] 2. The present invention ensures the fairness and transparency of the scheduling process through standardized scheduling models and refined data management. Under the traditional manual scheduling method, it is easy for some drivers or tank trucks to wait too long due to personal subjective judgment, resulting in unfairness and affecting driver satisfaction and working atmosphere. The present invention uses a scientific scheduling algorithm to fairly allocate job opportunities based on real-time data and preset scheduling rules, avoiding human bias and improving drivers' job satisfaction and trust. At the same time, the systematic scheduling process improves the predictability and controllability of operations, reduces safety hazards caused by improper scheduling, and enhances the reliability and safety of the overall operation.

[0026] 3. The present invention has shown significant advantages in ensuring the continuity of operations, ensuring the stability and efficiency of the LNG liquid export vehicle scheduling process. By real-time monitoring of the tanker scheduling status of each process node, the system can instantly grasp the progress of operations in each link and avoid interruptions to operations. In addition, the use of an automated scheduling model and sequential queue method makes the transition of tankers between scheduling stages smoother, reducing delays and errors caused by human operations, thereby maintaining the continuity of the operation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The present invention is a general flow chart of a method for dispatching LNG liquid export vehicles.

[0028] Figure 2 The present invention is a tank truck dispatching state flow chart of a dispatching method for LNG liquid export vehicles. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical scheme and advantages of the present disclosure clearer, the following will further describe the embodiments of the present disclosure in detail with reference to the accompanying drawings. The proportions of the components are not drawn according to the actual proportions, and the proportions and sizes shown in the accompanying drawings should not limit the substantial technical scheme of the present invention. These embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described.

[0030] See also Figure 1-2 As shown, a method for dispatching LNG liquid export vehicles includes the following steps: S1: Obtain and monitor the tanker dispatching status of each process node; S2: Obtain the statistics of the tank truck dispatching stage according to the tank truck dispatching status and operation status; S3: Calculate the low value coefficient of the number of waiting tank cars and establish a scheduling model; S4: Dispatching the tank trucks according to the dispatching model.

[0031] A dispatching system for LNG liquid export vehicles, comprising: A main control module receives data from the data acquisition module and determines the scheduling instructions through the scheduling model; Data acquisition module, which obtains real-time data from devices and communication modules; The supervision module receives the dispatch instruction and confirms whether it is passed and feeds back to the communication module; The communication module receives and feeds back the reservation information of the external tank truck and sends the dispatch instruction to the existing equipment.

[0032] like Figure 1 In one embodiment shown, Figure 1 The overall flow chart of the method for dispatching LNG liquid export vehicles of the present invention is shown in the figure. The method aims to optimize the dispatching management of vehicles in the process of liquefied natural gas (LNG) liquid export, and ensure the consistency and efficiency of the operation process through systematic and information-based means. The dispatching method designed by the present invention includes four main steps: S1: Obtain and monitor tank truck dispatching status; S2: Obtain statistics of the tank truck dispatching stage according to the dispatching status and operation status; S3: Calculate the low value coefficient of the number of waiting tank cars and establish a scheduling model; S4: Dispatch the tank trucks according to the dispatch model.

[0033] In the initial stage of the scheduling process, the system first needs to fully acquire and monitor in real time the status of the tank trucks at each node in the entire scheduling process. These statuses include key links such as appointment notification check-in, waiting for security inspection, and filling operations. Through the information system, the status of each process node is recorded and counted in detail, and the present invention can fully grasp the specific conditions of each tank truck at different stages. Specifically, the present invention will record the time point when each tank truck completes each link in turn to ensure the accuracy and real-time nature of the data. In addition, the sequential queue method is used to execute these process steps to ensure that each link is carried out in an orderly manner according to the predetermined order. Through real-time monitoring, operation interruptions are avoided and the continuity and stability of the entire scheduling process are guaranteed.

[0034] After obtaining the comprehensive tank truck dispatch status, the present invention will further analyze and count the number of tank trucks in each dispatch stage based on these statuses and the current operation status. The dispatch stage is mainly divided into the stage of waiting for dispatch notification, the stage of driving but not arriving, the stage of arriving and waiting, and the operation stage, which specifically includes the following statistics: Statistics in the stage of waiting for dispatch notification: including the number of reserved tank trucks, that is, the number of tank trucks that have been reserved but the drivers have not been notified yet.

[0035] Statistics of the stage of not arriving at the work site during driving: including the number of notified tank trucks, that is, the number of tank trucks that have received the dispatch notification but have not yet arrived at the work site.

[0036] Statistics of tank trucks that have arrived at the waiting stage: including the number of tank trucks waiting outside the station, the number of tank trucks waiting in the parking lot inside the station, the number of tank trucks waiting for security check and the number of tank trucks queuing on the roads inside the station, that is, the number of tank trucks that have arrived at the work site but are in various waiting stages.

[0037] Operation phase statistics: including the number of operations in the filling area, that is, the number of tank trucks undergoing filling operations.

[0038] By counting the number of tank trucks in these stages, the present invention can fully understand the resource distribution in the current scheduling process and provide a scientific basis for subsequent scheduling decisions.

[0039] After completing the statistics of the tank truck scheduling stage, the present invention will further calculate the low-value coefficient of the number of waiting tank trucks to control the number of tank trucks that have not arrived during driving. The calculation of the low-value coefficient is based on real-time data and real-time scheduling needs, aiming to avoid too many tank trucks arriving at the same time, resulting in waste of resources, or too few tank trucks affecting work efficiency. Through real-time calculation and judgment of the low-value coefficient, the present invention can dynamically adjust the scheduling strategy to ensure that the scheduling model can always adapt to the current work needs and resource conditions. The method for calculating the low-value coefficient of the number of waiting tank trucks is: t 平均充装耗时 : Refers to the time it takes for the tank truck to leave the skid from the start of filling to the end of filling; t 平均作业耗时 : Refers to the time taken by the tank truck from entering the site to leaving the site; t 其余 : Refers to the time spent on other operations of the tank truck, such as multiple security checks, etc. This time is taken from the time spent on each link in the operation record (excluding waiting time in the station); t 平均到场 : Refers to the average time taken by the tank truck from notification to arrival and sign-in; n: refers to the number of skids currently available for the tank truck.

[0040] On this basis, the present invention will establish a scientific scheduling model. The model comprehensively considers the scheduling status, operation requirements, resource allocation and other factors of the tank truck, aiming to achieve optimal control of the arrival time of the tank truck. The scheduling model can ensure that the scheduling strategy is forward-looking and flexible according to the current scheduling needs. The establishment of this model makes the scheduling process more intelligent and refined, effectively improving the efficiency and accuracy of the overall scheduling. The scheduling model is specifically: x 到场等待数 : Refers to the number of tank trucks waiting during the entire process of arrival; x 行驶未到场槽车数 : refers to the number of tank trucks that received notifications but did not sign in; t 平均充装耗时: Refers to the time it takes for the tank truck to leave the skid from the start of filling to the end of filling; t 平均作业耗时 : Refers to the time taken by the tank truck from entering the site to leaving the site; t 平均到场 : Refers to the average time taken by the tank truck from notification to arrival and sign-in; n: refers to the number of skids currently available for the tank car; k: Low value coefficient of the number of waiting tank cars.

[0041] After the scheduling model is established, the present invention will perform specific scheduling operations on the tank trucks according to the model. Step S4 is divided into four sub-steps: S4.1: Determine whether to schedule based on the model; First, the present invention determines whether a new scheduling operation is needed at present according to the output result of the scheduling model. If scheduling is needed, the next step is entered; if not, the current scheduling cycle is ended and the next scheduling opportunity is waited for.

[0042] S4.2: Conduct dispatch and notify the drivers who have made reservations; After determining that dispatch is required, the present invention will notify the drivers who have made reservations. According to the current operation requirements and the suggestions of the dispatch model, the present invention will calculate and determine the number of drivers who need to be notified to ensure the accuracy and effectiveness of the notification.

[0043] S4.3: Determine whether there are any tank trucks that have not been notified; The present invention checks whether there are any tank trucks that have not been notified. If there are any tank trucks that have not been notified, the next step will be entered; if all tank trucks have been notified, the current scheduling operation will be terminated.

[0044] S4.4: Notify and update the job status according to the queue number; For tank trucks that have not been notified, the present invention will notify them according to the order of their numbers and update their operating status in a timely manner to ensure the orderly progress of the scheduling process and the real-time synchronization of information.

[0045] After completing the above sub-steps, the present invention will adopt a timed scheduling method, return to step S1 every few minutes, and re-acquire the latest tank truck execution status and records, so as to continuously perform dynamic tank truck scheduling control. Such a feedback mechanism ensures that the scheduling process can adapt to on-site changes in real time and maintain the consistency and stability of the operation process.

[0046] In another embodiment, since LNG is a hazardous chemical, its transportation operation is affected by the geographical location of the receiving station and the local transportation regulatory requirements during the liquid export process, resulting in the lack of a unified and standardized vehicle scheduling control strategy. The lack of this strategy not only affects the operating efficiency of the LNG receiving station, but also makes it difficult for vehicle flow control to meet the standards of local supervision. In order to solve this problem, a scheduling method for LNG liquid export vehicles designed by the present invention can improve the efficiency of vehicle entry operations, reduce dependence on manual intervention, and ensure that vehicle flow control fully complies with local regulatory requirements. In the stage from appointment to check-in, since the tank truck may be located in a physical location far away from the station, and in order to effectively control the number of off-site resident vehicles, it is necessary to achieve the control of the tank truck's arrival through a refined appointment-notification-check-in process. This process needs to be estimated based on the status of the station's scheduling, and considering the actual distance requirements of the tank truck, it is necessary to notify in advance to ensure that the tank truck can arrive on time, thereby achieving the consistency and efficiency of the subsequent process scheduling.

[0047] According to the status, it can be further divided into four stages: waiting for dispatch notification, driving but not on site, waiting on site, and operating. The dispatch control is carried out according to the number of tank trucks in these four stages. Among them, driving but not on site is a variable that cannot accurately control the time. The remaining processes can be finely dispatched and controlled by obtaining clear status and operating time through the on-site operation status record. Therefore, one of the key points of dispatch control is to control and quantify the number of tank trucks that have not arrived on site during driving, to ensure that the number of vehicles waiting outside the site when they arrive does not exceed the number of vehicles required by safety supervision. At the same time, it is also necessary to avoid the number of vehicles waiting outside the site being at the low value of the number of waiting tank trucks for a long time (the low value is the number of tank truck skids*k. When k is 1.3, the number of skids in the site is 30, and the number of vehicles waiting on site should not be lower than 39 for a long time).

[0048] The tank truck filling process is a parallel operation that requires multiple skids to be carried out simultaneously at the LNG receiving station. However, due to the restrictions on the entrances and exits, the tank trucks cannot leave at the same time and must leave the site in sequence. Whenever a tank truck completes the filling and leaves, the vacant skid should be immediately filled by the next tank truck in the waiting area to start a new filling operation. This continuous process is essential to maintain the continuity of the operation. For the tank trucks that have arrived at the site to be filled, they will be notified to enter the site for tank truck filling operations at regular intervals. Since the time taken for tank truck filling operations is basically fixed, the more skids there are at the station, the shorter the tank truck scheduling interval.

[0049] In order to ensure the continuity of filling operations, the number of tank trucks in the waiting area must be kept at a reasonable level. At least within a tank truck filling operation cycle, all skids should be able to operate continuously. However, since it is difficult to achieve a completely balanced control of the waiting time of other links in the yard and the driving time outside the yard, it becomes challenging to accurately implement the "one out and one in" strategy.

[0050] Therefore, the number of tank trucks waiting on site should be slightly more than the number of skids required in an operation cycle, so that a buffer can be established to adapt to the fluctuations in the time consumption of operations on site and the changes in the average time consumption of tank trucks arriving on site. This strategy can prevent the subsequent links from being idle due to the too fast scheduling of tank trucks, affecting the continuity of operations. Therefore, the present invention can ensure that the scheduling of tank truck operations can not only meet the filling needs of skids, but also avoid congestion and waste of resources caused by too many tank trucks through precise calculation and dynamic adjustment. On the basis of clarifying the scheduling model, the necessary quantitative data can be recorded and counted by means of information system process records, and the scheduling status of the tank truck can be recorded as needed, and the time points when each link is completed can be recorded in turn. According to the time point and the scheduling status, the tank truck status can be classified into the statistics of the tank truck scheduling stage in turn. Finally, the timed scheduling method (for example, every one minute) is used to complete the scheduling control of the tank truck according to the current tank truck execution status and records.

[0051] In this embodiment, the mapping relationship between records and states is shown in the following table: The present invention optimizes the scheduling and management of tank trucks during the liquid export of liquefied natural gas (LNG) through an automated and information-based method, significantly improving the consistency and efficiency of the overall operation process. First, the method ensures the data accuracy and real-time performance of the scheduling process by acquiring and comprehensively monitoring the status of tank trucks at each scheduling node in real time, including key links such as appointment notification check-in, waiting for security inspection, and filling operations. This detailed status record and statistics allow managers to fully grasp the dynamic situation of each tank truck at different stages, avoid the generation of information islands, and improve the transparency and controllability of the overall scheduling.

[0052] Secondly, through in-depth analysis and statistics of the dispatching status and the operating status, the present invention significantly optimizes resource allocation. The tank truck dispatching stage is subdivided into the dispatching notification, driving but not yet on site, arriving and waiting, and operating stages, and the number of tank trucks in each stage is counted separately, so that the dispatching decision has a scientific basis and can accurately reflect the current distribution of resources. This not only effectively prevents the waste of resources and dispatching congestion, but also ensures the efficient operation and improves the overall operation efficiency.

[0053] On this basis, the present invention further introduces the calculation of the low-value coefficient of the number of waiting tank trucks to dynamically control the number of tank trucks that have not arrived during driving. By comprehensively considering multiple indicators such as average filling time, average operation time, other operation time, average arrival time, and the number of available skids, the low-value coefficient can adjust the scheduling strategy in real time and flexibly respond to changes in on-site operation needs and resource conditions. This dynamic adjustment mechanism makes the scheduling process more intelligent and refined, significantly improves the adaptability and foresight of the scheduling model, and ensures that the optimal scheduling effect can be achieved under different circumstances.

[0054] The establishment of the scheduling model is a highlight of the present invention. It comprehensively considers the scheduling status, operation requirements, resource allocation and other factors of the tank truck, and realizes the optimal control of the arrival time of the tank truck. Through the scientific scheduling model, the scheduling strategy is not only efficient, but also flexible and forward-looking, and can respond to on-site changes in a timely manner to maintain the continuity and stability of the operation process. In addition, the intelligent and refined design of the scheduling model reduces human intervention in the scheduling process, reduces the risk of operational errors, and improves the accuracy and reliability of the overall scheduling.

[0055] In the specific dispatching operation steps, the present invention adopts four sub-steps: judging whether dispatching is needed, notifying drivers who have made reservations, checking tank trucks that have not been notified, and notifying and updating the operation status according to the queue number. This series of steps ensures the orderly progress of the dispatching process and the real-time synchronization of information, avoiding confusion and delays in the dispatching process. At the same time, the feedback mechanism of scheduled dispatching ensures that the system can continuously monitor and adjust the dispatching strategy, adapt to the dynamic changes on site, and maintain the efficiency and stability of the dispatching process.

[0056] In general, the present invention significantly improves the efficiency and accuracy of tanker dispatch management during LNG liquid export through comprehensive and real-time monitoring and statistics, scientific dispatch models, dynamic strategy adjustments, and orderly dispatch operations. Its information-based and systematic management methods not only optimize resource allocation, reduce waiting time, and improve operating efficiency, but also enhance the flexibility and adaptability of the dispatch process, ensuring the continuity and stability of the entire dispatch process.

[0057] like Figure 2 In one embodiment shown, Figure 2The present invention is a tank truck scheduling status flow chart of a scheduling method for LNG liquid export vehicles. Tank truck operation at an LNG receiving station is a complex process involving multiple links, and its main process includes 8 core nodes: appointment, notification, check-in, waiting outside the filling area, security check, entering the filling area, filling operation, and leaving. However, due to differences in the internal structure and operating procedures of each receiving station, for example, some stations may lack parking spaces within the station or queue for security checks outside the station, so 5 additional links may be added between waiting outside the filling area and security checks, so that the entire process steps are expanded to 13. These additional links include: waiting outside the station, waiting at the parking station within the station, waiting for security checks, queuing on the road within the station, and security checks in the filling area. In the tank truck scheduling process, the sequential queue method is usually used to execute these process steps in sequence. The system monitors the status of each process node. Once there is a vacant position at the subsequent node, the tank truck of the previous node will be dispatched to the subsequent node to ensure the continuity of the operation.

[0058] In one embodiment, a dispatching system for LNG liquid export vehicles designed by the present invention includes the following modules: the main control module, as the core of the entire system, is responsible for coordinating the workflow of each module, executing the dispatching algorithm, making dispatching decisions, and monitoring the overall operating status of the system. After receiving data from the data acquisition module and the monitoring feedback module, it calls the dispatching model module to perform dispatching calculations, issues dispatching instructions to the communication module based on the calculation results, stores the decision results in the database module, and feeds back to the user interface module.

[0059] The data acquisition module is responsible for collecting various data related to tank truck scheduling in real time, including tank truck location information, operation status, filling time, arrival time, etc. After obtaining real-time data from on-site sensors, code scanning equipment, GPS system, etc., the collected data is transmitted to the database module for storage, and the latest operation and vehicle status data is provided to the main control module.

[0060] The scheduling model module implements the scheduling algorithm, including the calculation of the low-value coefficient of the number of waiting tank trucks, the prediction of vehicle arrival, etc., to realize intelligent scheduling control. After obtaining the necessary historical and real-time data from the database module, it accepts the scheduling request of the main control module, executes the scheduling calculation, and feeds back the scheduling results to the main control module for issuing specific scheduling instructions.

[0061] The communication module is responsible for information transmission with tank truck drivers and related personnel, including issuing dispatch notifications, receiving feedback information, etc. It receives dispatch instructions from the main control module and notifies tank truck drivers through SMS, APP push, electronic billboards, etc. It waits for and receives feedback information from drivers (such as arrival confirmation, abnormality report), and transmits it to the database module and the main control module. The communication module supports real-time two-way communication to ensure timely communication and feedback of dispatch information.

[0062] The user interface module provides a visual operation interface for dispatchers and managers to display the dispatch status, work progress, statistical reports, etc. The user interface module obtains the latest dispatch data and statistical information from the database module, and accepts the user's manual dispatch operation or the dispatch decision recommended by the system. It can also display the real-time status information provided by the main control module and the monitoring feedback module to the user.

[0063] The database module is used to store all scheduling-related data, including real-time data, historical records, scheduling model parameters, etc. It receives real-time data uploaded by the data acquisition module and can provide data support required by the scheduling model module and the main control module. It also has the functions of storing the display data required by the user interface module and the monitoring feedback module, ensuring the security and integrity of the data, and supporting the rapid retrieval and update of data.

[0064] The monitoring and feedback module monitors the actual execution of station operations in real time, collects feedback information during execution, and ensures the smooth progress of the scheduling process. The workflow is to obtain real-time operation status and abnormal information from the data acquisition module, feedback problems during execution to the main control module, trigger dynamic adjustment of the scheduling model, and display real-time monitoring charts and alarm information to the user interface module.

[0065] The method flow designed by the present invention can be realized through the collaboration between system modules: Data collection: After the tank truck enters the station, each sensor and device uploads the status and location information of the tank truck to the database module in real time through the data collection module; Scheduling calculation: the main control module obtains the latest data from the database module at regular intervals, calls the scheduling model module to perform scheduling algorithm calculations, and generates new scheduling instructions; Notification execution: the dispatching instruction is sent to the corresponding tank truck driver through the notification and communication module. The driver follows the instruction after receiving the notification; Feedback monitoring: after the tank truck executes the dispatching instruction, the execution result is uploaded through the data acquisition module. The monitoring and feedback module monitors the execution status in real time and transmits the feedback information to the main control module. Dynamic adjustment: If an abnormality is found during monitoring or there is a need for adjustment in the feedback, the main control module will re-call the scheduling model module to perform dynamic scheduling adjustments and optimize the scheduling plan; User interaction: dispatchers can view real-time dispatch status through the user interface module, manually intervene or confirm dispatch decisions recommended by the system, and ensure the flexibility and accuracy of the overall dispatch.

[0066] In summary, the present invention proposes a method for optimizing tanker scheduling during the liquid transport of liquefied natural gas (LNG), which improves the consistency and efficiency of the operation process through automation and information technology. The method includes four main steps: S1 obtains and monitors the scheduling status of tankers at each process node; S2 counts the number of tankers in each scheduling stage according to the scheduling status and the operation status; S3 calculates the low-value coefficient of the number of waiting tankers and establishes a scheduling model; S4 performs specific scheduling operations based on the scheduling model. In the initial stage, the data accuracy and real-time performance are ensured by real-time monitoring of the status of tankers in key links such as appointment, notification, security inspection and filling. By subdividing the scheduling stage and counting the number of tankers in each stage, resource allocation is optimized to avoid resource waste and scheduling congestion. The low-value coefficient of the number of waiting tankers is introduced to dynamically control the number of tankers that have not arrived, flexibly adjust the scheduling strategy, and improve the adaptability and foresight of the scheduling model. The scheduling model comprehensively considers the status of the tanker, the operation requirements and the resource allocation, realizes the optimal control of the arrival time of the tanker, reduces manual intervention, and improves the scheduling accuracy and reliability. The overall approach significantly improves the operational efficiency and scheduling management level during LNG transportation through automated monitoring, scientific statistics and intelligent scheduling, ensuring process continuity and stability.

[0067] The present invention is not limited to the above-mentioned embodiments. No matter any changes are made in the shape or material composition, any structural design provided by the present invention is a variation of the present invention and should be considered to be within the protection scope of the present invention.

Claims

1. A method for dispatching LNG liquid export vehicles, characterized in that: The following steps are involved: S1: In each tank truck dispatching state, necessary quantitative data is recorded and counted through the information system, the tank truck dispatching state is recorded as needed, the time point of completion of each link is recorded in sequence, and it is executed in sequence according to the sequence queue; S2: Obtain the statistics of the tank truck dispatching stage according to the tank truck dispatching status and operation status; S3: Calculate the low value coefficient of the number of waiting tank cars and establish a scheduling model; S4: Dispatching the tank trucks according to the dispatching model.

2. The method for dispatching LNG liquid export vehicles according to claim 1, characterized in that: The tank truck dispatching status includes appointment notification check-in and waiting for security inspection and filling operations. At the appointment notification check-in stage, an estimate is made based on the dispatching status within the station, and the actual distance requirements of the tank truck are referred to, and notification is made in advance; In each tank truck dispatching state, the status of each process node is monitored. Once there is a vacant position at the subsequent node, the tank truck of the previous node will be dispatched to the subsequent node.

3. A method for dispatching LNG liquid export vehicles according to claim 1 or 2, characterized in that: In the step S2, the tank truck status is classified into the statistics of the tank truck scheduling stage in turn through the time point and the scheduling status. The tank truck scheduling stage includes the waiting for scheduling notification stage, the driving but not arriving stage, the arriving waiting stage and the operation stage. The tank truck scheduling stage statistics are obtained according to the number of tank trucks in the stage status to control the scheduling; in the tank truck scheduling stage, except for the driving but not arriving stage which is a variable that cannot be accurately controlled in time, the status and operation time of the remaining processes are obtained through the on-site operation status records.

4. The method for dispatching LNG liquid export vehicles according to claim 3, characterized in that: During the tank truck scheduling stage, the statistics of the to-be-scheduled notification stage include the number of reservations made, the statistics of the driving but not-on-site stage include the number of notifications made, the statistics of the waiting stage for arrival include the number of waiting outside the station, the number of waiting in the parking lot inside the station, the number of waiting for security checks, and the number of queues on the roads inside the station, and the operation stage includes the number of operations in the filling area.

5. A method for dispatching LNG liquid export vehicles according to claim 1, 2 or 4, characterized in that: The step S4 includes the following steps: S4.1: Determine whether to perform scheduling based on the model. If yes, proceed to step S4.

2. If no, end. S4.2: Perform dispatching, notify the reserved drivers, and calculate and determine the number of drivers that need to be notified; S4.3: Determine whether there are any tank trucks that have not been notified. If so, proceed to step S4.

4. If not, end; S4.4: Notify and update the job status according to the queue number.

6. A method for dispatching LNG liquid export vehicles according to claim 1 or 5, characterized in that: In step S4, after completion, a timed scheduling method is used, and the process returns to step S1 at intervals of several minutes, and the tank truck scheduling control is re-performed according to the current tank truck execution status and records.

7. The method for dispatching LNG liquid export vehicles according to claim 1, characterized in that: In step S3, the number of tank trucks that have not arrived is controlled by real-time calculation and judgment of the low-value coefficient of the number of waiting tank trucks, and a scheduling model is established to realize the scheduling control of the arrival of tank trucks.

8. A method for dispatching LNG liquid export vehicles according to claim 1 or 7, characterized in that: The calculation method of the low value coefficient of the number of waiting tank vehicles is: t 平均充装耗时 : Refers to the time it takes for the tank truck to leave the skid from the start of filling to the end of filling; t 平均作业耗时 : Refers to the time taken by the tank truck from entering the site to leaving the site; t 其余 : Refers to the time spent on other operations of the tank truck; t 平均到场 : Refers to the average time taken by the tank truck from notification to arrival and sign-in; n: refers to the number of skids currently available for the tank truck.

9. A method for dispatching LNG liquid export vehicles according to claim 1 or 7, characterized in that: The scheduling model is: x 到场等待数 : Refers to the number of tank trucks waiting during the entire process of arrival; x 行驶未到场槽车数 : Refers to the number of tank trucks that received notifications but did not sign in; t 平均充装耗时 : Refers to the time it takes for the tank truck to leave the skid from the start of filling to the end of filling; t 平均作业耗时 : Refers to the time taken by the tank truck from entering the site to leaving the site; t 平均到场 : Refers to the average time taken by the tank truck from notification to arrival and sign-in; n: refers to the number of skids currently available for the tank car; k: Low value coefficient of the number of waiting tank cars.

10. A dispatching system for LNG liquid export vehicles, using a dispatching method for LNG liquid export vehicles according to any one of claims 1 to 9, characterized in that: include: A main control module receives data from the data acquisition module and determines the scheduling instructions through the scheduling model; Data acquisition module, which obtains real-time data from devices and communication modules; The supervision module receives the dispatch instruction and confirms whether it is passed and feeds back to the communication module; The communication module receives and feeds back the reservation information of the external tank truck and sends the dispatch instruction to the existing equipment.

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