CN117311691A - MBSE-based design method for monitoring and early warning system of hazardous chemical substance transport vehicle - Google Patents
MBSE-based design method for monitoring and early warning system of hazardous chemical substance transport vehicle Download PDFInfo
- Publication number
- CN117311691A CN117311691A CN202311278407.6A CN202311278407A CN117311691A CN 117311691 A CN117311691 A CN 117311691A CN 202311278407 A CN202311278407 A CN 202311278407A CN 117311691 A CN117311691 A CN 117311691A
- Authority
- CN
- China
- Prior art keywords
- diagram
- monitoring
- early warning
- use case
- warning system
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 69
- 239000000126 substance Substances 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000013461 design Methods 0.000 title claims abstract description 24
- 239000000383 hazardous chemical Substances 0.000 title claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 238000012795 verification Methods 0.000 claims abstract description 15
- 238000004088 simulation Methods 0.000 claims abstract description 9
- 238000010230 functional analysis Methods 0.000 claims abstract description 4
- 238000010586 diagram Methods 0.000 claims description 76
- 230000000694 effects Effects 0.000 claims description 34
- 230000006870 function Effects 0.000 claims description 29
- 230000006399 behavior Effects 0.000 claims description 25
- 230000003993 interaction Effects 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 8
- 238000005094 computer simulation Methods 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000002452 interceptive effect Effects 0.000 claims description 2
- 239000003795 chemical substances by application Substances 0.000 claims 1
- 238000004891 communication Methods 0.000 abstract description 9
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000012938 design process Methods 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 description 8
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 6
- 238000007405 data analysis Methods 0.000 description 4
- 238000004880 explosion Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010892 electric spark Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/34—Graphical or visual programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3604—Software analysis for verifying properties of programs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/10—Requirements analysis; Specification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/35—Creation or generation of source code model driven
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a method for designing a hazardous chemical substance transport vehicle monitoring and early warning system based on MBSE, which comprises the following steps: s01) demand analysis; s02) preliminary functional analysis; s03) system context analysis; s04) capturing a system efficiency index; s05) functional refinement analysis; s06) analyzing the system structure; s07) unifying the demand traceability relationship; s08) system simulation verification; the invention solves the problem that the design of the monitoring and early warning system is limited by the text form and the experience of the designer in terms of accuracy and usability, can effectively improve the communication and cooperation efficiency of each flow personnel in the system design, is convenient for the system to realize retrospective verification in the conceptual design stage, is beneficial to reducing the risk and cost of the system design, can be unfolded around the related requirements in the whole design process, and is beneficial to improving the practicability of the monitoring and early warning system.
Description
Technical Field
The invention relates to the technical field of dangerous chemical vehicle transportation, in particular to a method for designing a dangerous chemical transportation vehicle monitoring and early warning system based on MBSE.
Background
The dangerous chemical transport vehicle monitoring and early warning system is a safety guarantee system applied to the field of dangerous chemical transport vehicles, and can monitor the state and the position of the dangerous chemical transport vehicle in real time and send early warning in time when monitoring abnormality.
In the prior art, the design of a monitoring and early warning system for a hazardous chemical substance transport vehicle is mainly described by a system designer in a text form, and the following problems exist: (1) The monitoring early warning system is based on the design experience of a designer, the designer performs system function or structure design from the system design angle, and the requirements are lack of description and tracing; (2) The consistency of the text expression system design documents is poor, ambiguity is easy to generate, and the communication writing efficiency among all design flow staff is reduced. (3) It is difficult to establish a retrospective relationship between requirements and functions in the form of static text, whether the requirements are satisfied and whether the behavior logic is correct is difficult to verify.
Disclosure of Invention
The application provides a design method of a hazardous chemical substance transport vehicle monitoring and early warning system based on MBSE, which solves the problem that the design of the monitoring and early warning system is limited in the aspect of accuracy and usability by the form of texts and experience of designers.
The technical scheme of the application is as follows:
a dangerous chemical transport vehicle monitoring and early warning system design method based on MBSE (molecular weight sensor) comprises the steps of establishing a system model based on a system modeling language, wherein the system model can describe requirements by using a requirement graph and a requirement table; the system model describes system behavior in a use case diagram, an activity diagram, a state machine diagram and a timing diagram; the system model describes a system structure by using a module definition diagram and an internal module diagram; the specific steps for designing the dangerous chemical transportation vehicle monitoring and early warning system based on the system model are as follows:
s01) demand analysis, collecting audience demands based on design tasks, and establishing a demand table and/or a demand graph reflecting the audience demands.
S02) preliminary functional analysis, including description of system use cases and description of use case scenarios.
Describing the system use case, the use case participants and the interactive relation between the system use case and the use case participants by using the use case diagram; use case scenarios are described using activity diagrams, state machine diagrams, or timing diagrams.
S03) system context analysis, wherein module model elements in an internal module diagram are used for representing system context participants according to the use case scene in the step S02), and connectors are used for representing interaction relations between each system context participant and the system in terms of substances, energy and information.
The definition of system context participants is: all external entities interacting with the system.
S04) capturing system efficiency indexes, and displaying the system efficiency indexes in the form of a module definition graph according to the nonfunctional requirements of the system, the system behaviors and the system context analysis results.
S05) functional refinement analysis, and based on the activity diagram, the state machine diagram or the timing diagram used for describing the use case scenario in the step S02), the specific implementation process of the system behavior inside the system is described in detail in the form of the activity diagram.
S06) analyzing the system structure, determining the port of the monitoring and early-warning system interacting with the outside by using the port module and the proxy port model element in the module definition diagram, and determining the subsystem of the monitoring and early-warning system by adding the part characteristics into the monitoring and early-warning system of the dangerous chemical transportation vehicle so as to obtain the module definition diagram and the internal module diagram which can describe the structure of the monitoring and early-warning system.
S07) unifying the demand traceability relation, establishing the traceability relation between the system behavior and the audience demand according to the steps S02) and S05), establishing the traceability relation between the system efficiency index and the audience demand according to the step S04), and establishing the traceability relation between the system structure and the audience demand according to the step S06), and finally converting the traceability relation between the audience demand and the system behavior, the system efficiency index and the system structure into a dependency matrix.
S08) system simulation and verification, and establishing a system simulation model based on the established model to simulate the working process of the dangerous chemical transportation vehicle monitoring and early warning system.
Further, when the activity diagram is used in the step S05) to describe the system behavior, the activity diagram in the step S05) is grouped and the lanes are divided in the step S06) to determine the subsystems in the internal structure diagram and the hierarchical relationship between the subsystems, and determine the interaction content and the interaction direction between the subsystems of the internal module diagram.
Further, when the module definition diagram is used to describe the system port in the step S06), the interaction relationship among the system context participants in terms of substance, energy and information established in the step S03) should be satisfied.
Further, in the step S08), the content of the system simulation verification includes system function verification, logic verification of system behavior, and time calculation of system behavior.
The beneficial effects of this application are:
1. the method and the system are based on graphic modeling performed by a system modeling language, ensure ideographic uniqueness of involved demands, effectively avoid ambiguity caused by a traditional text design mode, and effectively improve communication and collaboration efficiency of all flow staff in system design.
2. The method can realize the system function verification, the flow verification and the preliminary estimation of time consumption of system activities, and the system designed by the method has a backtracking relationship with the related requirements and the system structure, so that the system can conveniently realize the backtracking verification in the conceptual design stage, and the risk and the cost of the system design are reduced.
3. The pushing manner among the steps in the method is non-mechanical, namely, interaction with other steps exists in a single step, and the whole design process can be developed around the involved demands.
Drawings
FIG. 1 is a flow chart of a method for designing a monitoring and early warning system of a hazardous chemical substance transportation vehicle based on MBSE provided in the application;
FIG. 2 is a demand graph established in step S01) described in the present application;
FIG. 3 is a diagram of the usage in step S02) described in the present application;
FIG. 4 is a diagram depicting the activity of the present application for a vehicle launch control function use case scenario;
FIG. 5 is an activity diagram of the present application for a monitoring alarm function use case scenario description;
FIG. 6 is a timing diagram of a vehicle normal driving scenario for the communication function of the present application;
FIG. 7 is a timing diagram of a scenario in which an abnormal situation occurs in a vehicle for a communication function according to the present application;
FIG. 8 is a timing diagram of a vehicle accident scenario for the communication function of the present application;
FIG. 9 is an internal block diagram of the present application for system context;
FIG. 10 is a block diagram of a system performance index according to the present application;
FIG. 11 is a diagram of the behavior of the data acquisition and transmission system of the monitoring and early warning system of the present application;
FIG. 12 is a diagram of data analysis and processing behavior of the monitoring and early warning system of the present application;
FIG. 13 is an activity diagram depicting an alarm procedure of the present application;
FIG. 14 is a block diagram of the monitoring and early warning system structure of the present application;
FIG. 15 is an internal block diagram of the structure of the monitoring and early warning system of the present application;
fig. 16 is a dependency matrix established in step S07) described in the present application.
Detailed Description
According to the design method of the monitoring and early warning system of the hazardous chemical substance transportation vehicle based on the MBSE, which is provided by the application, a monitoring and early warning system aiming at the requirements of enterprises, drivers, governments and suppliers is established. In the embodiment, different steps are divided into a black box stage and a white box stage according to the visibility and cognition degree of the system in the specific implementation, as shown in fig. 1, the black box stage is the steps S01) to S04), the white box stage is the steps S05) to S08), and the specific steps for establishing the monitoring and early warning system of the embodiment are as follows:
s01) demand analysis, the monitoring and early warning system established in the embodiment is based on the content of the involved demands, and the function and architecture design of the system are carried out by taking the involved demands as the core. FIG. 2 illustrates a demand graph that translates enterprise, driver, government and vendor demands in accordance with a system modeling language.
S02) preliminary functional analysis, as shown in fig. 3, illustrates the functional and functional stakeholders of the hazardous chemical delivery vehicle monitoring and early warning system by using an illustration. In this embodiment, the hazardous chemical substance transportation vehicle monitoring and early warning system has the following functions: (1) The anti-explosion early warning function after leakage is realized, and the anti-explosion device is assembled to prevent the explosion after self leakage and also can early warn the passing vehicle so as to avoid explosion caused by electric sparks generated by the passing vehicle;
(2) A vehicle start control function of starting the engine after the driver passes the alcohol test and notifying the intention of drunk driving of the driver to the enterprise; (3) A monitoring alarm function for monitoring the state of the driver, the road condition state, the valve state and the tank body state; (4) And the communication function can report the abnormal states of the vehicle and the driver, the position information and the accident information after the accident to the enterprise in the running process of the vehicle, and transmit specific data according to the enterprise requirement.
The example scenario of the vehicle start control function in this embodiment is shown in fig. 4, and after the driver starts the engine, the hazardous chemical substance transport vehicle monitoring and early warning system is automatically started, and a system start signal is generated, where the system start signal can activate various parts in the hazardous chemical transport vehicle monitoring and early warning system. However, the vehicle cannot be started at this time, and if the vehicle is started, the driver must blow air through the alcohol detection air blowing port in the vehicle and pass the detection. After the driver passes the alcohol test, the dangerous chemical transportation vehicle monitoring and early warning system opens the steering wheel lock, and the vehicle can be started normally. If the driver fails the alcohol test, the steering wheel lock is kept in a closed state, and the information of the driver attempting drunk driving is notified to an enterprise.
In this embodiment, as shown in fig. 5, for a usage scenario of the monitoring alarm function, early warning index data is collected and stored in the operation process of the monitoring alarm system, and then data obtained by the monitoring function is analyzed to determine: whether the monitoring index is in an abnormal state, whether the road condition information needs to be noticed or not, and whether the driver is in a fatigue state or not. And finally, starting corresponding alarm behaviors according to the judging result.
The embodiment has three use case scenes aiming at the communication function, namely normal running of the vehicle, abnormal condition of the vehicle and accident of the vehicle. As shown in fig. 6 to 8, when the vehicle normally runs, if the enterprise wants to acquire the information of the vehicle, the enterprise needs to send a command signal 1 to the beidou No. three satellite, the beidou No. three satellite sends a command signal 2 to the hazardous chemical substance transportation vehicle monitoring and early warning system, and after the hazardous chemical substance transportation vehicle monitoring and early warning system receives the command signal 2, the encrypted vehicle early warning index data, the driver state and the driver alcohol concentration are sent to the enterprise. When an abnormal condition or an accident occurs to the vehicle, the vehicle can automatically send the abnormal information, the position information after the accident and the accident information to an enterprise by means of the Beidou No. three satellite.
S03) analyzing the system context, wherein the function provided by the dangerous chemical transportation vehicle monitoring and early warning system when serving the enterprise driver is required to be analyzed in the black box stage, analyzing the interaction with the system context participants in the aspects of substances, energy and information in the function implementation process, and describing the system based on the interaction angle of the context participants. In this embodiment, the context participants of the dangerous chemical transportation vehicle monitoring and early warning system obtained by use case scene analysis are enterprises, drivers, power sources and a Beidou third satellite system, and interaction among the participants is shown in fig. 9.
S04) capturing system performance indexes, wherein in the embodiment, the captured system performance indexes of the dangerous chemical transportation vehicle monitoring and early warning system are 6, namely safety, stability, prediction accuracy, monitoring accuracy, system complexity and interaction friendliness, according to the analysis results of the steps S01) to S03), and the performance measurement index model elements in the module definition diagram are used for representing the system performance indexes, as shown in fig. 10.
S05) functional refinement analysis, in the embodiment, the activity diagram is adopted to represent the specific flow of three important system behaviors of data transmission, data analysis processing and alarm on the basis of the activity diagram of the use case scene in the step S02).
Aiming at the activity of collecting data in the activity diagram of the use case scene of the monitoring and early warning function in the step S02), the method performs thinning and unfolding to describe the data collecting and transmitting system behavior of the monitoring and early warning system of the dangerous chemical transport vehicle, and as shown in the attached figure 11, basic monitoring indexes are collected: the method is characterized in that a direct method is adopted for monitoring the sealing performance of the valve, and a sensor is used for monitoring the concentration of dangerous chemicals outside the valve in real time; the pressure in the tank body, the temperature, the liquid level and the humidity of dangerous chemicals are monitored in real time through a pressure sensor, a temperature sensor, a liquid level sensor and a humidity sensor in the tank body; the method comprises the steps of collecting the state of a driver in real time by using a high-definition camera in a cab; acquiring the inclination angle of the current vehicle driving road section and the inclination angle of the tank body in real time by adopting a screw; the navigation system acquires the current geographic position through a navigation satellite; the method comprises the steps that an external camera acquires a front car image in real time; the sensor, the high-definition camera and the like transmit collected data to the processor through a line, and the processor analyzes and processes the data.
Aiming at the data analysis processing activity in the case scene activity diagram of the monitoring early warning function in the step S02) and the driver alcohol detection activity in the case scene activity diagram of the vehicle starting control function in the step S02), the data analysis behavior of the dangerous chemical transportation vehicle monitoring early warning system is depicted by carrying out thinning and unfolding, and as shown in the attached figure 12, the collected three contents of basic monitoring indexes, driver states and road condition information are respectively judged to be in a normal interval and the early warning of which level needs to be started for analysis processing.
Aiming at the alarm activity in the activity diagram of the use case scene of the monitoring and early warning function in the step S02), the method performs refined development to describe the alarm program of the monitoring and early warning system of the dangerous chemical transportation vehicle, and as shown in the figure 13, when at least one of the following two conditions occurs, the alarm program is started. The first case is that after receiving the alarm program starting instructions of different levels, the corresponding alarm program is automatically started. The primary alarm is as follows: the warning lamp blinks, and the fault reason is displayed on the display screen by red bold fonts. The secondary alarm is that the buzzer is started and the alarm lamp blinks, and the fault reason is displayed on the display screen by using red bold fonts. The three-level alarm is that a buzzer is started and an alarm lamp flashes, fault reasons are displayed on a display screen in a red bold font, and abnormal information is reported to a headquarter by means of a communication function. The second case is that after the accident of the vehicle, the driver manually starts an alarm program to send the information such as the vehicle position information and the accident situation to the company headquarters. An activity diagram depicting an alarm procedure is shown in fig. 13.
S06) system structure analysis, in the step, firstly, grouping activities in the activity diagram in the step S05), determining subsystems which the dangerous chemical transport vehicle monitoring and early warning system should have, and representing the subsystems in a module definition diagram. Then, interactions between the subsystems are determined and represented in an internal block diagram. And finally, determining the port of the monitoring and early warning system of the hazardous chemical substance transport vehicle according to the system context analysis in the step S03). Fig. 14 to 15 show a module definition diagram and an internal module diagram describing the structure of the monitoring and early warning system of the hazardous chemical substance transport vehicle.
S07) unifying the demand traceability relation, as shown in fig. 16, based on the system behaviors in the steps S01) and S05), the system structure in the step S06) and the system parameters in the step S04), analyzing the traceability relation between the three and the crowded demands, and converting the demand relation into a dependency matrix.
S08) system simulation and verification. After the model is built, the following contents are verified: (1) And (3) verifying the system function, and performing simulation verification on each use case. (2) And verifying the logic of the system behavior, wherein the realization of the function is closely connected with the system activity, and the logic of the system activity can be checked according to the activity diagram, the time sequence diagram and the state machine diagram. (3) The system is active, the time constraint of each action established in the step S02) and the step S05) is invoked when the time spent is calculated, and the abnormal state in the activity and the total time spent by the activity are automatically recorded by a modeling software console window.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (4)
1. A design method of a hazardous chemical substance transport vehicle monitoring and early warning system based on MBSE is characterized in that,
the method needs to establish a system model based on a system modeling language, wherein the system model can describe requirements by using a requirement graph and a requirement table; the system model describes system behavior in a use case diagram, an activity diagram, a state machine diagram and a timing diagram; the system model describes a system structure by using a module definition diagram and an internal module diagram; the specific steps for designing the dangerous chemical transportation vehicle monitoring and early warning system based on the system model are as follows:
s01) demand analysis, namely collecting audience demands based on design tasks, and establishing a demand table and/or a demand graph reflecting the audience demands;
s02) preliminary functional analysis, including description of system use cases and description of use case scenes;
describing the system use case, the use case participants and the interactive relation between the system use case and the use case participants by using the use case diagram;
describing a use case scenario using an activity diagram, a state machine diagram, or a timing diagram;
s03) system context analysis, wherein module model elements in an internal module diagram are used for representing system context participants according to the use case scene in the step S02), and connectors are used for representing interaction relations between each system context participant and the system in terms of substances, energy and information;
the definition of system context participants is: all external entities interacting with the system;
s04) capturing system efficiency indexes, and displaying the system efficiency indexes in a module definition diagram form according to nonfunctional requirements of the system, system behaviors and system context analysis results;
s05) functional refinement analysis, wherein the detailed implementation process of the system behavior inside the system is described in detail in the form of an activity diagram based on the activity diagram, the state machine diagram or the time sequence diagram used for describing the use case scene in the step S02);
s06) analyzing the system structure, determining the port of the monitoring and early-warning system interacting with the outside by using port modules and agent port model elements in the module definition diagram, and determining the subsystem of the monitoring and early-warning system by adding part characteristics into the monitoring and early-warning system of the dangerous chemical transport vehicle so as to obtain the module definition diagram and the internal module diagram which can describe the structure of the monitoring and early-warning system;
s07) unifying a demand traceability relation, establishing a traceability relation between system behaviors and audience demands according to the steps S02) and S05), establishing a traceability relation between system efficiency indexes and audience demands according to the step S04), and establishing a traceability relation between system structures and audience demands according to the step S06), and finally converting the traceability relation between audience demands and system behaviors, system efficiency indexes and system structures into a dependency matrix;
s08) system simulation and verification, and establishing a system simulation model based on the established model to simulate the working process of the dangerous chemical transportation vehicle monitoring and early warning system.
2. The method for designing the monitoring and early warning system of the hazardous chemical substance transportation vehicle based on the MBSE according to claim 1, wherein the method comprises the following steps of,
when the activity diagram is adopted in the step S05) to describe the system behavior, the activity diagram in the step S05) is grouped and lanes are divided in the step S06) to determine the subsystems in the internal structure diagram and the hierarchical relationship among the subsystems, and determine the interaction content and the interaction direction among the subsystems of the internal module diagram.
3. The method for designing the monitoring and early warning system of the hazardous chemical substance transportation vehicle based on the MBSE according to claim 1, wherein the method comprises the following steps of,
when the module definition diagram is adopted to describe the system port in the step S06), the interaction relationship among the system context participants established in the step S03) in terms of substances, energy and information should be satisfied.
4. The method for designing the monitoring and early warning system of the hazardous chemical substance transportation vehicle based on the MBSE according to claim 1, wherein the method comprises the following steps of,
in the step S08), the content of the system simulation verification includes system function verification, logic verification of system behavior, and time calculation of system behavior.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311278407.6A CN117311691B (en) | 2023-10-07 | 2023-10-07 | MBSE-based design method for monitoring and early warning system of hazardous chemical substance transport vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311278407.6A CN117311691B (en) | 2023-10-07 | 2023-10-07 | MBSE-based design method for monitoring and early warning system of hazardous chemical substance transport vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117311691A true CN117311691A (en) | 2023-12-29 |
| CN117311691B CN117311691B (en) | 2024-06-11 |
Family
ID=89286232
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311278407.6A Active CN117311691B (en) | 2023-10-07 | 2023-10-07 | MBSE-based design method for monitoring and early warning system of hazardous chemical substance transport vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117311691B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130097583A1 (en) * | 2011-09-27 | 2013-04-18 | The University Of Texas System | Systems and Methods For Automating the Application of a Software Methodology |
| CN103995504A (en) * | 2014-04-17 | 2014-08-20 | 广东工业大学 | Dangerous chemical in-transit monitoring and accident emergency rescue system based on Internet of Things |
| CN104852992A (en) * | 2015-06-09 | 2015-08-19 | 湖北天盾电子技术有限公司 | On-line intelligent system for safety emergency based on multiple communication networks and sensing equipment |
| CN111142845A (en) * | 2019-12-18 | 2020-05-12 | 中国北方车辆研究所 | Model-based task system demand development method |
| CN114118690A (en) * | 2021-10-21 | 2022-03-01 | 上海机电工程研究所 | Model-based weapon system architecture construction and index verification method and system |
| CN114217769A (en) * | 2021-12-17 | 2022-03-22 | 陕西宝成航空仪表有限责任公司 | Design method of airborne optical fiber strapdown attitude and heading reference system based on MBSE (model based navigation system) |
| CN115688446A (en) * | 2022-11-07 | 2023-02-03 | 中国北方车辆研究所 | MBSE-based demand tracing and coverage checking method |
| CN116166230A (en) * | 2023-03-24 | 2023-05-26 | 重庆长安汽车股份有限公司 | Model-based automobile part electric control function design system and method |
-
2023
- 2023-10-07 CN CN202311278407.6A patent/CN117311691B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130097583A1 (en) * | 2011-09-27 | 2013-04-18 | The University Of Texas System | Systems and Methods For Automating the Application of a Software Methodology |
| CN103995504A (en) * | 2014-04-17 | 2014-08-20 | 广东工业大学 | Dangerous chemical in-transit monitoring and accident emergency rescue system based on Internet of Things |
| CN104852992A (en) * | 2015-06-09 | 2015-08-19 | 湖北天盾电子技术有限公司 | On-line intelligent system for safety emergency based on multiple communication networks and sensing equipment |
| CN111142845A (en) * | 2019-12-18 | 2020-05-12 | 中国北方车辆研究所 | Model-based task system demand development method |
| CN114118690A (en) * | 2021-10-21 | 2022-03-01 | 上海机电工程研究所 | Model-based weapon system architecture construction and index verification method and system |
| CN114217769A (en) * | 2021-12-17 | 2022-03-22 | 陕西宝成航空仪表有限责任公司 | Design method of airborne optical fiber strapdown attitude and heading reference system based on MBSE (model based navigation system) |
| CN115688446A (en) * | 2022-11-07 | 2023-02-03 | 中国北方车辆研究所 | MBSE-based demand tracing and coverage checking method |
| CN116166230A (en) * | 2023-03-24 | 2023-05-26 | 重庆长安汽车股份有限公司 | Model-based automobile part electric control function design system and method |
Non-Patent Citations (10)
| Title |
|---|
| 唐盖盖: "船—岸基船舶机舱数据监测与传输模拟系统的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》, no. 03, 15 March 2019 (2019-03-15) * |
| 孙彦锋;马伟;: "基于模型的系统工程的系统设计方法", 黑龙江科技信息, no. 14, 15 May 2016 (2016-05-15) * |
| 张世聪;陈波;张晓晋;王保民;: "基于MBSE的动车组设计方法研究及应用", 中国铁道科学, no. 02, 15 March 2018 (2018-03-15) * |
| 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, no. 05, 15 May 2008 (2008-05-15) * |
| 杜轶波: "基于RFID与WSN的危化品物流智能监测与应用研究", 《中国优秀博士学位论文全文数据库信息科技辑》, no. 04, 15 April 2017 (2017-04-15) * |
| 杜轶波: "基于RFID与WSN的危化品物流智能监测与应用研究", 《中国博士学位论文全文数据库信息科技辑》, no. 04, 15 April 2017 (2017-04-15), pages 14 - 15 * |
| 薛威;贾超群;李雯;史岩;: "基于MBSE在航空电子通信系统中的应用", 电子科技, no. 05, 15 May 2016 (2016-05-15) * |
| 谢丽等: "考虑影响不对称性的创新扩散与网络结构协同演化建模：基于信息熵与累积优势的仿真研究", 《科技进步与对策》, vol. 38, no. 11, 30 June 2021 (2021-06-30) * |
| 赵恺;初秀民;王耀兵;陈宗伟;: "港口物流枢纽危险品监控与预警系统", 水运工程, no. 05, 25 May 2013 (2013-05-25) * |
| 陆福德: "基于MBSE的动车组车载ATP系统建模与验证", 《中国优秀硕士学位论文全文数据库信息科技辑》, no. 02, 15 February 2023 (2023-02-15) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117311691B (en) | 2024-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Finding critical scenarios for automated driving systems: A systematic mapping study | |
| Rozier | Specification: The biggest bottleneck in formal methods and autonomy | |
| Sabaliauskaite et al. | Integrating autonomous vehicle safety and security analysis using STPA method and the six-step model | |
| Graves et al. | Using formal methods with SysML in aerospace design and engineering | |
| CN100476666C (en) | Device and method for on-board diagnosis based on a model | |
| Wang et al. | Reliability assessment of autonomous vehicles based on the safety control structure | |
| US20230168985A1 (en) | System and method for integration testing | |
| Amersbach | Functional decomposition approach-reducing the safety validation effort for highly automated driving | |
| Damm et al. | Using traffic sequence charts for the development of HAVs | |
| Kochanthara et al. | A functional safety assessment method for cooperative automotive architecture | |
| CN117311691B (en) | MBSE-based design method for monitoring and early warning system of hazardous chemical substance transport vehicle | |
| Daun et al. | Context modeling for cyber‐physical systems | |
| Shiokari et al. | Structure model-based hazard identification method for autonomous ships | |
| Liang et al. | Model-based requirement verification: A case study | |
| Häring et al. | Advanced markov modeling and simulation for safety analysis of autonomous driving functions up to sae 5 for development, approval and main inspection | |
| Jost et al. | Towards a safer development of driver assistance systems by applying requirements-based methods | |
| Wishart et al. | A Proposed Safety Case Framework for Automated Vehicle Safety Evaluation | |
| Helsch et al. | Qualitative monitors based on the connected dependability cage approach | |
| Scandura et al. | A unified system to provide crew alerting, electronic checklists and maintenance using IVHM | |
| Chechik et al. | Uncertainty, modeling and safety assurance: towards a unified framework | |
| CN116701096A (en) | Cloud server testing method, virtual machine, vehicle machine system and storage medium | |
| Warg et al. | Towards Safety Analysis of Interactions BetweenHuman Users and Automated Driving Systems | |
| Gierl et al. | Reverse Threat Modeling: A Systematic Threat Identification Method for Deployed Vehicles | |
| Surya et al. | Formal Specification and Verification of Time-Sensitive Drone Systems using TLA+: A Case Study | |
| Paul et al. | Assurance of Machine Learning-Based Aerospace Systems: Towards an Overarching Properties-Driven Approach |
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 |