CN111709135B - Liquefied natural gas tank wagon transportation auxiliary decision-making system - Google Patents
Liquefied natural gas tank wagon transportation auxiliary decision-making system Download PDFInfo
- Publication number
- CN111709135B CN111709135B CN202010538116.6A CN202010538116A CN111709135B CN 111709135 B CN111709135 B CN 111709135B CN 202010538116 A CN202010538116 A CN 202010538116A CN 111709135 B CN111709135 B CN 111709135B
- Authority
- CN
- China
- Prior art keywords
- tank
- liquid level
- lng
- pressure
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000003949 liquefied natural gas Substances 0.000 title claims abstract description 115
- 239000007788 liquid Substances 0.000 claims abstract description 63
- 238000004088 simulation Methods 0.000 claims abstract description 48
- 238000004891 communication Methods 0.000 claims abstract description 16
- 239000007789 gas Substances 0.000 claims description 42
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 34
- 238000005457 optimization Methods 0.000 claims description 20
- 239000000203 mixture Substances 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 14
- 239000003345 natural gas Substances 0.000 claims description 12
- 238000001704 evaporation Methods 0.000 claims description 11
- 230000008020 evaporation Effects 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 7
- 239000000446 fuel Substances 0.000 claims description 5
- 230000008569 process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 description 1
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000001273 butane Substances 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000004868 gas analysis Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 238000009440 infrastructure construction Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- IJDNQMDRQITEOD-UHFFFAOYSA-N n-butane Chemical compound CCCC IJDNQMDRQITEOD-UHFFFAOYSA-N 0.000 description 1
- OFBQJSOFQDEBGM-UHFFFAOYSA-N n-pentane Natural products CCCCC OFBQJSOFQDEBGM-UHFFFAOYSA-N 0.000 description 1
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000001294 propane Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000012932 thermodynamic analysis Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000007306 turnover Effects 0.000 description 1
- 238000009834 vaporization Methods 0.000 description 1
- 230000008016 vaporization Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Evolutionary Computation (AREA)
- Development Economics (AREA)
- Computer Hardware Design (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Geometry (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Filling Or Discharging Of Gas Storage Vessels (AREA)
Abstract
The invention provides an auxiliary decision-making system for liquefied natural gas tank wagon transportation, which comprises temperature, pressure and liquid level sensors arranged on a tank wagon storage tank, a GPS positioning module, a data acquisition module, a communication module, a multi-physical simulation platform, a transportation tank wagon terminal module and an operation monitoring center module. The invention transmits the operation scheme to the transport tank car driver and the operation center manager in real time through the communication module, and assists in deciding the tank car operation scheme so as to improve the safety and the economy of the liquefied natural gas transport tank car.
Description
Technical Field
The invention relates to the field of liquefied natural gas storage and transportation. In particular to an auxiliary decision making system for liquefied natural gas tank wagon transportation.
Background
LNG storage, transfer, transportation technologies and infrastructure construction are rapidly evolving to meet the use demands of LNG as a clean energy source. The domestic large scale LNG industry has evolved for only a decade, and major technical challenges remain. Especially in the aspect of industrial application of thermodynamic behavior in the low-temperature fluid storage and transportation process, practical engineering development and application cases are rarely provided. LNG land transportation is an emerging domestic industry that includes LNG tankers, heavy trucks, buses, and filling stations. However, from the current state of the art, LNG tank car transportation markets remain cluttered, and some small transportation enterprises lack deep knowledge of the risks presented by the transportation situation, so that in practice, controlling and managing LNG has been a significant challenge for transportation enterprises and drivers.
Patent document CN107366829a (application number 201710663462.5) discloses a logistics method for transporting LNG, S1, an LNG tank carrier enters an LNG receiving station or a liquefaction plant dock; s2, synchronously filling multiple LNG tank boxes on the LNG tank box transport ship; s3, leaving the LNG tank transport ship after the liquid injection is finished from an LNG receiving station or a wharf of a liquefaction factory, and transporting the LNG tank transport ship to a destination; and S4, loading and unloading the LNG tank after the LNG tank transport ship reaches the destination. The cost of the logistics method is lower than 66.7% of the cost of the existing logistics method, and the transportation cost is reduced by 32.6%; the turnover period is shorter, and the utilization ratio of the tank is better.
Disclosure of Invention
In view of the defects in the prior art, the invention aims to provide an auxiliary decision-making system for liquefied natural gas tank wagon transportation.
The invention provides an auxiliary decision-making system for liquefied natural gas tank wagon transportation, which comprises the following components: the system comprises a temperature sensor 1, a pressure sensor 2, a liquid level sensor 3, a multi-component gas analyzer 4, a GPS positioning module 5, a data acquisition module and communication module 6, a wireless network 7, a multi-physical simulation platform 8, a transport tank car terminal module 9 and an operation monitoring center module 10 which are arranged on a tank car storage tank;
the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck storage tank are sent to a multi-physical simulation platform 8 by a data acquisition module, a communication module 6 and a wireless network 7;
the GPS positioning module 5 acquires road condition data, and sends the road condition data to the remote transportation tank car terminal module 9 through the data acquisition module, the communication module 6 and the wireless network 7, and the transportation tank car terminal module 9 predicts the temperature, the pressure, the components, the evaporation amount and the liquid level of liquefied natural gas LNG in the next intermittent tank car through the multi-physical simulation platform 8.
Preferably, the thermodynamic state of the liquefied natural gas stored and transported in the liquefied natural gas tank is analyzed in real time according to the temperature, pressure, liquid level and composition data collected by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-composition gas analyzer 4 of the tank car storage tank.
Preferably, under the condition of fire and collision, the multi-physical simulation platform 8 predicts the temperature, pressure and component change trend in the tank of the transportation tank truck in the next time period by using a preset thermodynamic physical model according to the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck, and provides the temperature, pressure and component change trend for operators to guide safe operation.
Preferably, under the normal operation condition, the multi-physical simulation platform 8 gives a proposal for optimizing the driving route and speed by using the boil-off BOG of liquefied natural gas LNG as fuel and a scheme for controlling the pressure of the storage tank by stopping in the middle according to the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck, and by combining the real-time road condition, weather condition and road operation regulations of the GPS positioning module 5 and using a preset thermodynamic physical model and an optimization algorithm, and feeds back the driver in real time to guide the economic operation;
the optimization algorithm refers to an optimal solution method with highest economical efficiency on the premise of guaranteeing safety by using a physical model to calculate under various driving conditions and finally giving one or more than one.
Preferably, the multi-physical simulation platform 7 provides an LNG loading and unloading optimization operation flow according to temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck storage tank, and combines the liquid level, pressure, temperature and component data information of LNG in the LNG loading and unloading station storage tank, so that loading and unloading time is saved.
Preferably, the multi-physical simulation platform 8 analyzes the methane number of the volatile gas according to the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank car storage tank, counts the data in a preset time period and is used for guiding the design of the gas engine of the LNG transportation tank car.
Preferably, the multiple physics simulation platform 8 determines the initial loading of tank car transportation based on the initial pressure, temperature, and composition of the LNG.
Preferably, the multi-physics simulation platform 8 calculates the backhaul LNG reserves based on the temperature, pressure, composition, and backhaul route planning of the transported LNG.
Preferably, the multi-physical simulation platform 8 summarizes and analyzes the operation data over a period of time, analyzes tank car storage tank characteristics in real time, and provides an operation optimization strategy for the whole fleet.
Compared with the prior art, the invention has the following beneficial effects:
the invention uses temperature, pressure, liquid level sensor and multi-component gas analyzer installed in tank car to collect real-time temperature, pressure, liquid level and component data of liquefied natural gas in transportation tank car, uses GPS to position tank car, uses vehicle-mounted communication module to send real-time signal to multi-physical simulation platform of operation center, and uses multi-physical simulation platform to make thermodynamic analysis of LNG in tank car, and according to the technical requirements of terminal customer or tank car before shipment the processing scheme of tank car BOG can be optimized in real time, and uses communication module to send running scheme to transportation tank car driver and operation center manager in real time to make auxiliary decision on tank car operation scheme so as to raise safety and economical efficiency of liquefied natural gas transportation tank car.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
fig. 1 is a schematic diagram of the overall principle and structure of the system provided by the invention.
Fig. 2 is a schematic diagram of steps performed by the system according to the present invention.
Fig. 3 is a schematic diagram of software flow in the system according to the present invention.
Fig. 4 and 5 are schematic views of two different embodiments provided by the present invention.
FIG. 6 is a schematic diagram of an auxiliary decision making system for lng tank truck transportation according to the present invention.
The figure shows:
1. temperature sensor, pressure sensor, liquid level sensor, multicomponent gas analyzer, 5.GPS locator, data acquisition system and communication module, 7.wireless network, 8 multiple physical simulation platforms, 9 vehicle terminals, 10, operation management center terminal
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
As shown in fig. 6, the liquefied natural gas tank wagon transportation auxiliary decision-making system provided by the invention comprises: the system comprises a temperature sensor 1, a pressure sensor 2, a liquid level sensor 3, a multi-component gas analyzer 4, a GPS positioning module 5, a data acquisition module and communication module 6, a wireless network 7, a multi-physical simulation platform 8, a transport tank car terminal module 9 and an operation monitoring center module 10 which are arranged on a tank car storage tank;
the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck storage tank are sent to a multi-physical simulation platform 8 by a data acquisition module, a communication module 6 and a wireless network 7;
the GPS positioning module 5 acquires road condition data, and sends the road condition data to the remote transportation tank car terminal module 9 through the data acquisition module, the communication module 6 and the wireless network 7, and the transportation tank car terminal module 9 predicts the temperature, the pressure, the components, the evaporation amount and the liquid level of liquefied natural gas LNG in the next intermittent tank car through the multi-physical simulation platform 8.
Specifically, the thermodynamic state of the liquefied natural gas stored and transported in the liquefied natural gas tank truck is analyzed in real time according to the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck storage tank.
Specifically, under the conditions of fire and collision, the multi-physical simulation platform 8 predicts the change trend of the temperature, the pressure and the components in the tank of the transportation tank truck in the next time period by using a built-in self-developed thermodynamic physical model according to the temperature, the pressure, the liquid level and the component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck storage tank, and provides the temperature, the pressure, the liquid level and the component data for operators to guide safe operation.
Specifically, under the normal operation condition, the multi-physical simulation platform 8 gives suggestions for optimizing the driving route and speed by using the boil-off gas BOG of liquefied natural gas LNG as fuel and a scheme for controlling the pressure of the storage tank by stopping in the middle according to the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck, and by combining the real-time road condition, weather condition and road operation regulations of the GPS positioning module 5, and using a built-in autonomous developed thermodynamic physical model and an optimization algorithm, and feeding back the driver in real time to guide economic operation;
the optimization algorithm refers to an optimal solution method with highest economical efficiency on the premise of guaranteeing safety by using a physical model to calculate under various driving conditions and finally giving one or more than one.
The autonomous developed thermodynamic physics model is described in the document A thermal and thermodynamic code for the computation of Boil-Off Gas-Industrial applications of LNG carrier.
Specifically, the multi-physical simulation platform 7 provides an LNG loading and unloading optimization operation flow according to temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank truck storage tank, and combines the liquid level, pressure, temperature and component data information of LNG in the LNG filling station storage tank, so that loading and unloading time is saved.
Specifically, the multi-physical simulation platform 8 analyzes the methane number of the volatile gas according to the temperature, pressure, liquid level and component data acquired by the temperature sensor 1, the pressure sensor 2, the liquid level sensor 3 and the multi-component gas analyzer 4 of the tank car storage tank, counts the data in a preset time period and is used for guiding the design of the gas engine of the LNG transport tank car.
Specifically, the multi-physics simulation platform 8 determines the initial loading of tank car transportation based on the initial pressure, temperature, and composition of the LNG.
Specifically, the multi-physics simulation platform 8 calculates the backhaul LNG reserve based on the temperature, pressure, composition, and backhaul route planning of the transported LNG.
Specifically, the multi-physics simulation platform 8 summarizes and analyzes operational data over a period of time and analyzes tank car tank characteristics in real time-only the tank car tank compression and insulation performance is discussed herein. In practice, these two properties and design properties must be different. Even two identical vehicles have different performances under different actual operating conditions. For example, the design daily evaporation rate of a certain vehicle storage tank is 0.2%, so that the design pressurization rate can be known. In actual operation, the daily evaporation rate was 0.15%. The pressurization rate of the vehicle will be lower than the design value and it will be possible to use it to run longer distances, providing an operational optimization strategy for the entire fleet.
The present invention will be described more specifically by way of preferred examples.
Preferred example 1:
the system comprises a tank truck transportation auxiliary decision-making system, a vehicle-mounted data acquisition module, a GPS positioning module, a remote transportation tank truck terminal module, a multi-physical simulation platform, a tank truck terminal module, a vehicle-mounted data acquisition module and a vehicle-mounted data transmission module, wherein the vehicle-mounted data acquisition module is used for monitoring the state of LNG in a storage tank in real time, acquiring data such as temperature, pressure, liquid level and components, the GPS positioning module is used for knowing road conditions and the like, and the data such as road conditions are transmitted to the remote transportation tank truck terminal module through communication, and the transportation tank truck terminal module predicts the temperature, the pressure, the components, the evaporation amount and the liquid level of LNG in a next intermittent tank truck through the multi-physical simulation platform. In combination with engineering experience and road operating regulations, real-time feedback is provided to the driver of recommendations for optimizing driving route and speed using vaporized LNG (BOG) as fuel, LNG fueling, and on-road parking management and storage tank pressure. And (3) summarizing and analyzing the operation data in a period of time, analyzing the LNG operation characteristics under the conventional operation route, and providing an operation optimization strategy for the whole motorcade, so that the economy and the safety of land LNG are greatly improved.
The utility model provides a liquefied natural gas tank wagon transportation auxiliary decision-making system, includes temperature sensor, pressure sensor, liquid level sensor, multicomponent gas analysis appearance, GPS orientation module, data acquisition module and communication module, many physical simulation platforms, transportation tank wagon terminal module, operation monitoring center module of installing in tank wagon storage tank.
The temperature, pressure, liquid level and component data acquired by the tank car storage tank temperature, pressure and liquid level sensor and the multi-component gas analyzer are transmitted to a multi-physical simulation platform through a wireless network, and the thermodynamic state of the liquefied natural gas stored and transported in the liquefied natural gas tank car is analyzed in real time.
The built-in physical model of the multi-physical simulation platform predicts the temperature, pressure and component change trend in the tank of the transport tank car in the next time period based on the temperature, pressure, liquid level and component data acquired by the sensors, and provides the temperature, pressure and component change trend for operators to guide safe operation.
The multi-physical simulation platform of the natural gas tank car transportation auxiliary decision-making system synthesizes real-time road conditions, weather conditions and road operation regulations according to temperature, pressure, liquid level and component data acquired by sensors of tank car storage tanks, uses a built-in physical model and an optimization algorithm, gives a proposal for optimizing transportation path planning and speed by using vaporized LNG (BOG) as fuel and a scheme for controlling storage tank pressure by stopping in the middle, feeds back a driver in real time, and guides economic operation.
And the multi-physical simulation platform of the natural gas tank wagon transportation auxiliary decision-making system provides an LNG loading and unloading optimization operation flow according to temperature, pressure, liquid level and component data acquired by the sensors and by combining the liquid level, pressure, temperature and component information of LNG in the LNG filling station storage tank, so that loading and unloading time is saved. The loading rate is determined by the natural gas line flow control valve of the filling station flow regulator and the unloading rate is determined by the flow control valve on the tank truck. The loading flow is ensured to be stable during loading, backflow is not generated, and safety conditions such as excessive evaporation gas generated due to temperature difference between the tank of the tank truck and a filling station in the initial loading stage, excessive pressure of the tank truck and the like are reduced. In addition to the similar problems of the tank trucks and the unloading stations, the unloading needs to be considered, such as rolling phenomena possibly generated after the tank trucks and the unloading stations are mixed with LNG with different components, and how to control the residual quantity of the LNG in the tank trucks to the minimum so as to achieve the best economical efficiency. These problems are all determined by grasping thermodynamic state information within the tank of the tanker. The user can select the scheme given by the loading and unloading process under different environments by combining the collected data through the multi-physical simulation platform.
And the multi-physical simulation platform of the natural gas tank car transportation auxiliary decision-making system analyzes the methane number of the volatile gas according to the temperature, pressure, liquid level and component data acquired by the sensors, counts the data in a period of time and is used for guiding the design of the gas engine of the LNG transportation tank car.
The multi-physical simulation platform of the natural gas tank car transportation auxiliary decision-making system determines the initial loading capacity of the tank car transportation according to the initial components of LNG and the temperature, pressure and liquid level signals acquired by the sensors, so that the loading efficiency is improved. The initial components refer to hydrocarbon compounds such as methane, ethane, propane, butane and the like and nitrogen dioxide, and the carbon dioxide accounts for the percentage (mol or mass) of the LNG
And the multi-physical simulation platform of the natural gas tank wagon transportation auxiliary decision-making system calculates the return LNG reservation according to the temperature, pressure and liquid level signals acquired by the sensors, the components of the transportation LNG and the return route planning.
And the multi-physical simulation platform of the natural gas tank truck transportation auxiliary decision-making system is used for summarizing and analyzing operation data in a period of time, analyzing physical characteristics of a storage tank of the transportation tank truck and providing an operation optimization strategy for the whole fleet.
Under the condition that a plurality of gas stations need to be unloaded, the tank car transportation auxiliary decision-making system can carry out optimization calculation according to the LNG price after reaching the end point and the LNG evaporation amount in the comprehensive transportation process, and the scheme with the greatest profit is selected.
Preferred example 2:
the invention aims to solve the following problems: the technical problems of LNG tank wagon transportation safety and optimized operation specifically comprise the reduction of the evaporation gas in the LNG tank wagon loading and unloading process, the planning of the LNG tank wagon transportation path and the speed, and the safe operation of the LNG tank wagon under accidents.
The invention is further described with reference to the drawings and detailed description.
As shown in fig. 1, the lng tank truck transportation aid decision making system comprises: and the tank car data acquisition module inputs data to the optimizing system module and optimizes the system. The data entered is on-board the tanker instant data, or may be stored data during transportation, or may be obtained from a spreadsheet, database, or other data organization device. The optimization solution algorithm may be one or a combination of one or more optimization models. The graphical user interface accomplishes the entry of operating condition data, modifies variables and parameters, and monitors intermediate and final results of the optimization model operation. The calculation process is performed at a remote control center or by a terminal mounted on the tank car. The output results may be displayed in a spreadsheet, data in a database, a chart, a graphic, etc. The output result can be displayed in a remote control center or directly displayed on a screen of a mobile phone of a driver in the form of a mobile phone APP.
Fig. 2 is a step diagram of an implementation of the system configuration. A tank truck collection database is first established. This stage may be the use of the entire fleet or a tank car. Each tank car is equipped with different sensors and recording means to measure the amount and composition of boil-off gas during travel. These sensors may include the use of a multi-component gas analyzer (chromatograph or heating value analyzer) to learn the components of the vaporized gas. If the tank car is equipped with a boil-off BOG compressor, the sensor also includes a sensor for measuring the suction rate of the compressor to measure the evaporation rate. The various sensors and recorders are provided on the same tank car and record (typically every minute, but other frequencies may be used) measurements all the time.
An empirical database is created by collecting all measurements of a tank car for a period of time of one year or fleet. Once the database is built, the navigation conditions can be integrated to form the law of law for LNG conversion to BOG. This is a statistical method of correlation, for example by means of a polynomial of correlation, relating the amounts and composition of the remaining LNG, BOG to the driving conditions (current weather conditions, vehicle speed, road conditions), the characteristics of the tank car (in particular its storage capacity and storage tank system) constituting key parameters. Yet another approach is to model the vaporization rate and LNG composition with thermodynamic models. After the law of the evaporation capacity in the transportation process of the tank car is obtained through a statistical method or thermodynamic modeling, a set of special computer software tools are designed. The software can enable a remote control center, a fleet control center or a tank car driver to know the status of the transported LNG in real time. The software optimizes the tank car transportation route to maximize profits. The expected price of LNG to be delivered to a target fueling station, while meeting the time and safety regulations required for LNG tank car transportation, depends on the price provided at the fueling station and the expected status of LNG to the destination and the transportation costs.
Fig. 3 is a flow chart of software in the present system. The initial conditions input by the calculation software comprise weather forecast conditions, road conditions, states of the storage tanks and vehicle speeds in a specified route and a specified route. The calculation software provides the composition and amount of BOG generated at each time of the trip based on these data. And determining whether a cable-collecting path is needed or not and changing speed according to the convergence standard, so as to improve an operation scheme. If the path or speed needs to be modified, the modified path and speed data will be reintroduced, performing new calculations. If the route obtained is estimated to have been sufficiently optimized, a step of optimizing profitability is entered. The transportation path planning may use the initially planned journey and real-time navigation data as input conditions, and may also use the measurements read during the real-time journey as input conditions. For example, real-time conditions in a trip include vehicle speed, weather conditions, and road conditions. The reference point is the loading dock or the fueling station of the tank car. Characteristics of the liquefied gas transported include composition, temperature, proportion or amount of boil-off gas, LNG quality or residual amount, as required by the path planning implementation. The multiple physical simulation platform gives the amount and composition (mass) of the vaporized gas. In a complete example, the multiple physics simulation platform also considers the characteristics of LNG-carrying tanks.
Fig. 4 shows an application scenario of the system. A tank car is unloaded from a fueling station after LNG is loaded at the fueling terminal. The operator evaluates three possible routes. These routes differ in weather conditions, speed limits, road conditions, distance, etc. With the aid of the transportation aid decision making system, an operator can select a route that will result in the best LNG composition and the most LNG quality with the specified time guaranteed to reach a specified offloading fueling station.
Fig. 5 shows another application scenario of the system. A tank car is loaded or ready to load LNG at the filling terminal. Operators have a question of the destination from which to offload the fueling station. There are three gas stations that may be required to be unloaded. Each fueling station LNG is sold differently, and the final LNG selling price is dependent on the composition and quality of the fueling terminal LNG. The transportation auxiliary decision-making system analyzes the change state of the liquefied natural gas by taking transportation conditions and LNG selling prices on three possible routes as constraint conditions, and gives an optimal scheme.
The present system is not limited to the above-listed application scenario but can be applied to all the ranges that can be extended.
In the description of the present application, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements being referred to must have a specific orientation, be configured and operated in a specific orientation, and are not to be construed as limiting the present application.
Those skilled in the art will appreciate that the systems, apparatus, and their respective modules provided herein may be implemented entirely by logic programming of method steps such that the systems, apparatus, and their respective modules are implemented as logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc., in addition to the systems, apparatus, and their respective modules being implemented as pure computer readable program code. Therefore, the system, the apparatus, and the respective modules thereof provided by the present invention may be regarded as one hardware component, and the modules included therein for implementing various programs may also be regarded as structures within the hardware component; modules for implementing various functions may also be regarded as being either software programs for implementing the methods or structures within hardware components.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (6)
1. An lng tank truck transportation aid decision making system comprising: the system comprises a temperature sensor (1), a pressure sensor (2), a liquid level sensor (3), a multi-component gas analyzer (4), a GPS positioning module (5), a data acquisition module and a communication module (6), a wireless network (7), a multi-physical simulation platform (8), a transport tank truck terminal module (9) and an operation monitoring center module (10) which are arranged on a tank truck storage tank;
the temperature, pressure, liquid level and component data acquired by a temperature sensor (1), a pressure sensor (2), a liquid level sensor (3) and a multi-component gas analyzer (4) of the tank wagon storage tank are sent to a plurality of physical simulation platforms (8) through a data acquisition module, a communication module (6) and a wireless network (7);
the GPS positioning module (5) acquires road condition data, the road condition data is sent to the remote transport tank car terminal module (9) through the data acquisition module, the communication module (6) and the wireless network (7), and the transport tank car terminal module (9) predicts the temperature, the pressure, the components, the evaporation amount and the liquid level of Liquefied Natural Gas (LNG) in the next intermittent tank car through the multi-physical simulation platform (8);
according to the temperature sensor (1), the pressure sensor (2), the liquid level sensor (3) and the temperature, pressure, liquid level and component data acquired by the multi-component gas analyzer (4), the thermodynamic state of the liquefied natural gas stored and transported in the liquefied natural gas tank truck is analyzed in real time;
under the conditions of fire and collision, the multi-physical simulation platform (8) predicts the change trend of the temperature, the pressure and the components in the tank of the transport tank car in the next time period by using a preset thermodynamic physical model according to the temperature, the pressure, the liquid level and the component data acquired by the temperature sensor (1), the pressure sensor (2) and the liquid level sensor (3) of the tank car, and provides the temperature, the pressure and the component data for operators to guide safe operation;
the multi-physical simulation platform (8) analyzes the methane number of volatile gas according to temperature, pressure, liquid level and component data acquired by the temperature sensor (1), the pressure sensor (2), the liquid level sensor (3) and the multi-component gas analyzer (4) of the tank wagon storage tank, counts data in a preset time period and is used for guiding the design of the gas engine of the LNG transportation tank wagon.
2. The natural gas tank truck transportation auxiliary decision-making system according to claim 1, wherein under the normal operation condition, the multi-physical simulation platform (8) gives a proposal for optimizing the driving route and speed by using the boil-off BOG of liquefied natural gas LNG as fuel and a scheme for controlling the pressure of the tank in the way of stopping and controlling the tank according to the temperature, pressure, liquid level and component data collected by the temperature sensor (1), the pressure sensor (2), the liquid level sensor (3) and the multi-component gas analyzer (4) of the tank truck, and by combining the real-time road condition, weather condition and road operation regulations of the GPS positioning module (5), and by using a preset thermodynamic physical model and an optimization algorithm, the driver is fed back in real time to guide the economic operation;
the optimization algorithm refers to an optimal solution method with highest economical efficiency on the premise of guaranteeing safety by using a physical model to calculate under various driving conditions and finally giving one or more than one.
3. The natural gas tank truck transportation aid decision making system according to claim 1, wherein,
the multi-physical simulation platform (7) provides an LNG loading and unloading optimization operation flow according to temperature, pressure, liquid level and component data acquired by the temperature sensor (1), the pressure sensor (2), the liquid level sensor (3) and the multi-component gas analyzer (4) of the tank truck, and combines the liquid level, pressure, temperature and component data information of LNG in the storage tank of the LNG filling station, so that loading and unloading time is saved.
4. A natural gas tank truck transportation aid decision making system as claimed in claim 1 wherein the multi-physics simulation platform (8) determines the initial loading of the tank truck transportation based on the initial composition of LNG.
5. The natural gas tank truck transportation aid decision making system according to claim 1, wherein the multi-physics simulation platform (8) calculates the return LNG reserve based on the composition of the transported LNG and the return route planning.
6. The natural gas tank truck transportation aid decision making system according to claim 1, wherein the multi-physics simulation platform (8) summarizes and analyzes operational data over a period of time, analyzes tank truck storage tank characteristics in real time, and provides operational optimization strategies for the entire fleet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010538116.6A CN111709135B (en) | 2020-06-12 | 2020-06-12 | Liquefied natural gas tank wagon transportation auxiliary decision-making system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010538116.6A CN111709135B (en) | 2020-06-12 | 2020-06-12 | Liquefied natural gas tank wagon transportation auxiliary decision-making system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111709135A CN111709135A (en) | 2020-09-25 |
| CN111709135B true CN111709135B (en) | 2024-02-02 |
Family
ID=72539877
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010538116.6A Active CN111709135B (en) | 2020-06-12 | 2020-06-12 | Liquefied natural gas tank wagon transportation auxiliary decision-making system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111709135B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112728405B (en) * | 2020-12-25 | 2022-11-29 | 洁检(黄冈)检测技术有限公司 | Flow monitoring system of liquefied gas tank |
| CN112651755A (en) * | 2020-12-31 | 2021-04-13 | 武汉中极氢能源发展有限公司 | Hydrogen quality traceable system and method applied to hydrogen energy industry |
| CN114777011A (en) * | 2022-04-20 | 2022-07-22 | 中国石油化工股份有限公司 | Multifunctional fair metering system and metering method based on LNG tank car |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103455409A (en) * | 2013-09-17 | 2013-12-18 | 张家港美核电子科技有限公司 | System and method for monitoring safety of dangerous chemical transport in real time |
| CN103645705A (en) * | 2013-12-05 | 2014-03-19 | 中国海洋石油总公司 | LNG multi-point transport ship transport-capacity prediction scheduling method |
| CN109270870A (en) * | 2018-10-29 | 2019-01-25 | 山东路科公路信息咨询有限公司 | Transport monitoring method and system |
| CN110044413A (en) * | 2019-04-19 | 2019-07-23 | 五冶集团上海有限公司 | Harmful influence transport early warning and aid decision-making system based on Internet of Things |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2788927A4 (en) * | 2011-12-09 | 2015-08-12 | Exxonmobil Upstream Res Co | Method of stimulating shipping of liquefied natural gas |
-
2020
- 2020-06-12 CN CN202010538116.6A patent/CN111709135B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103455409A (en) * | 2013-09-17 | 2013-12-18 | 张家港美核电子科技有限公司 | System and method for monitoring safety of dangerous chemical transport in real time |
| CN103645705A (en) * | 2013-12-05 | 2014-03-19 | 中国海洋石油总公司 | LNG multi-point transport ship transport-capacity prediction scheduling method |
| CN109270870A (en) * | 2018-10-29 | 2019-01-25 | 山东路科公路信息咨询有限公司 | Transport monitoring method and system |
| CN110044413A (en) * | 2019-04-19 | 2019-07-23 | 五冶集团上海有限公司 | Harmful influence transport early warning and aid decision-making system based on Internet of Things |
Non-Patent Citations (3)
| Title |
|---|
| 孙代平.《一种危险化学品罐箱/槽车的实时监测系统》.《中国优秀博硕士学位论文全文数据库 (硕士) 信息科技辑》.2007,摘要，章节3. * |
| 方来华 ; 刘骥 ; 魏利军 ; 吴宗之 ; 关磊 ; .危险品运输车辆监控预警系统设计与开发.中国安全科学学报.2008,(第05期),全文. * |
| 李长龙 ; 刘伟 ; 周邵萍 ; .基于Mamdani模糊推理的槽罐车运输安全评价.华东理工大学学报(自然科学版).2017,(第04期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111709135A (en) | 2020-09-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111709135B (en) | Liquefied natural gas tank wagon transportation auxiliary decision-making system | |
| AU2017394866B2 (en) | Systems for routing and controlling vehicles for freight | |
| Csiszár et al. | System model for autonomous road freight transportation | |
| US9822717B2 (en) | Control system and method | |
| CN107352497A (en) | A kind of automatic oiling methods, devices and systems of vehicle | |
| CN108765741A (en) | A kind of oiling management method, apparatus and server based on high in the clouds | |
| US20170197646A1 (en) | Train system having automatically-assisted trip simulation | |
| US20130338901A1 (en) | Control system and method | |
| US20150302319A1 (en) | Data provisioning system and method | |
| CN107381488A (en) | A kind of automatic oiling methods, devices and systems of vehicle | |
| US20220252415A1 (en) | Systems And Methods For Assigning Travel Routes Based On Vehicle Travel Range And Overhead Costs | |
| Roeth | Transformational technologies reshaping transportation-an industry perspective | |
| Samchuk et al. | Freight fleet management problem: evaluation of a truck utilization rate based on agent modeling | |
| JP2002315111A (en) | Method of operating reformer installed hydrogen station | |
| CN115108034A (en) | Computer-implemented method and digital platform | |
| Kovács | Optimization method and software for fuel cost reduction in case of road transport activity | |
| Benza et al. | Intelligent transport systems (its) applications on dangerous good transport on road in italy | |
| Danebergs | Techno-Economic Study of Hydrogen as a Heavy-Duty Truck Fuel. A Case Study on the Transport Corridor Oslo–Trondheim | |
| JP7347606B2 (en) | Hydrogen supply system | |
| US20220270013A1 (en) | Systems and methods for allocating vehicles to ride requests | |
| WO2022251352A1 (en) | System and method for vehicle transportation scenario generation and searching | |
| CN114897359A (en) | Finished automobile transport capacity scheduling method under multidimensional data | |
| Doll et al. | European freight scenarios and impacts, summary report 2: European rail freight corridors for Europe-storyline and responsibilities | |
| Cluzel et al. | Transport energy infrastructure roadmap to 2050 | |
| CN118297251A (en) | Transportation route planning method and system for supply chain logistics |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |