CN115988028A - LNG gas station real-time safety monitoring system based on internet of things - Google Patents
LNG gas station real-time safety monitoring system based on internet of things Download PDFInfo
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Abstract
The invention provides an LNG gas station real-time safety monitoring system based on the technology of the Internet of things, which comprises: perception layer, network layer, platform layer and application layer, perception layer and network layer are connected, connect the platform layer on the network layer, connect the perception layer down, connect the application layer on the platform layer, connect the network layer down, application layer down. According to the invention, by using a WISE-PaaS industrial internet platform of an industrial cloud platform and comprehensively using technologies such as an internet of things, multi-sensor data fusion, data mining, a SpringBoot + Vue framework and the like, the functions of real-time monitoring of the safe operation state of the LNG gas station, predictive maintenance, equipment maintenance, remote inspection, flat fault alarm issuing and the like are realized. The intelligent, safe and competitive power of products of gas enterprises is improved while the safety supervision requirement of the LNG gas station is met.
Description
Technical Field
The invention relates to a real-time safety monitoring system of an LNG (liquefied natural gas) station based on the technology of the Internet of things.
Background
The LNG filling station is a special place for filling automobile liquefied natural gas into gas automobile gas storage cylinders, and the operation state of the LNG filling station needs to be monitored safely in real time in order to ensure safe operation of the LNG filling station.
At the present stage, the LNG gas station real-time safety monitoring system can not finish fault early warning, operation, maintenance and alarm information can not be shared, rapid rescue can not be achieved when the gas station equipment fault occurs, a supervision department is faced to a huge gas market, effective fine management and informatization supervision means are lacked, and management is not in place. The problem that the equipment maintenance of the gas station is difficult to achieve targeted maintenance and cannot solve the internal risk of the real-time safety monitoring system of the gas station and the safety condition of the system lacks effective unified supervision is particularly obvious.
Disclosure of Invention
For solving the problems that the safety monitoring mode of the existing gas station is single, the safety running state information of the gas station is not clear, the maintenance is not in place, the linkage rescue effect is poor and the like, the LNG gas station real-time safety monitoring system based on the Internet of things technology is provided, so that the labor cost is reduced, and the monitoring efficiency and the management level are improved.
In order to achieve the purpose, the invention adopts the following technical scheme: an LNG gas station real-time safety monitoring system based on the technology of the Internet of things comprises a sensing layer, a network layer, a platform layer and an application layer; the sensing layer is connected with the network layer and comprises a gas station processing terminal, and the gas station processing terminal is connected with a gas detector, a temperature sensor, a pressure sensor, a flow sensor, a smoke sensor and an intelligent network camera; the network layer is connected with the platform layer and the sensing layer and comprises a data gateway, and the data gateway is connected with the gas station processing terminal; the platform layer is connected with the application layer in an upper mode and connected with the network layer in a lower mode and comprises an industrial cloud platform and a business service cloud, and the industrial cloud platform is connected with the data gateway and then communicated with the business service cloud; the platform layer is connected with the application layer in a downward mode and comprises a supervision department, a gas company, a maintenance enterprise and a client, and the supervision department, the gas company, the maintenance enterprise and the client are in communication with the business service cloud.
Preferably, the analog signal that gaseous detector, temperature sensor, pressure sensor, flow sensor, smoke transducer and intelligent network camera gathered includes combustible gas concentration, gas pitcher temperature, gas pitcher and pump pressure, liquefied natural gas flow, smog concentration and the real-time picture of gas station, each sensor with the intelligent network camera converts the analog signal who gathers into digital signal through AD conversion module through RS485 CAN communication protocol respectively to transmit to the processing terminal of installing at the gas station, the gas station process terminal with all install loRa communication module on the data gateway, the gas station process terminal with the data gateway passes through the communication of loRa communication protocol.
Preferably, the industrial cloud platform establishes a connection with an MQTT service and issues a data subscription request to the service, the MQTT server sends data acquired from the data gateway to a WISE-PaaS industrial internet platform of the industrial cloud platform according to subscription information, and the WISE-IoT Suite/IoT Hub (industrial internet of things device access and management center) of the WISE-PaaS industrial internet platform can realize quick access of devices and forwarding of device messages. By using the 'equipment model' technology of the WISE-PaaS industrial internet platform, the functions of equipment with different brands and classes can be abstracted and summarized to form a 'standard physical type', so that all parties can describe, control and understand the functions and characteristics of the equipment by using a uniform language. When the equipment is created after a set of equipment model is defined, the defined equipment model can be used, and the equipment can automatically inherit the content in the equipment model, so that the difficulty of equipment management is reduced. And managing the gas station processing terminal and the data gateway as Edge nodes by using an IoT Edge technology of the WISE-PaaS industrial internet platform, and performing deduplication, denoising, aggregation and filtering processing on the acquired real-time data on the Edge nodes to form a cloud-Edge cooperative architecture and improve the robustness of the whole system.
Preferably, the real-time data received by the industrial cloud platform sends the subscription data to a third-party cloud platform deploying the service through an MQTT protocol, and system core functions of visualization of monitoring data of the gas station, fault prediction of the gas station, maintenance of equipment, report of statistical data and the like are completed in the service system. And the terminal users of the supervision department, the gas company, the maintenance enterprise, the client and the like communicate with the service system through the WebSocket communication protocol, and can obtain corresponding use functions and data according to different access rights.
Preferably, the service system follows an MVC design mode, a B/S framework of a SpringBoot + Vue framework is adopted, a SpringBoot + MyBatis + Redis + MySQL technology is developed and applied at the back end, and a Vue + ElementUI + Echarts technology is adopted at the front end.
Preferably, the data layer uses a MySQL database, mySQL is a popular open-source relational database management system, the most common SQL language is used for database management, and the system has the characteristics of reliability, small size, high speed, low cost, easiness in use and the like. MySQL is used for storing data information required by systems such as various sensed data, real-time safe operation state data of a gas station, historical fault data and maintenance data. The two most prominent storage engines of MySQL are MyISAM and InnoDB. The MyISAM storage engine belongs to non-transactional safety type, does not support transactions and foreign keys, cannot realize safe recovery after system crash, can realize high-speed storage and retrieval, and is suitable for small-sized application mainly based on data access; the InNODB is a default storage engine after MySQL 5.5, belongs to transaction safety, supports transaction characteristics such as submission, rollback, crash recovery and the like, has high requirements on the integrity of transactions, and is suitable for applications with frequent data updating, inserting and deleting operations. Because the data volume of the sensor is huge, the real-time data volume is large, and the requirement on the safety of the transaction is high. The system has huge data volume, more sensors have more data, and the requirement on the safety of transactions is higher; secondly, the real-time performance of the data is high in order to ensure safe operation, and frequent updating of the database table cannot be avoided. Therefore, the InNODB physical structure is selected to meet the use requirement of the system.
Preferably, the service layer is a key ring which is started and stopped in the whole LNG gas station real-time monitoring system based on the technology of the Internet of things. The management, control and management of the terminal sensor equipment are integrated, an application development and unified interface is provided for an upper-layer system, and an end-to-end channel between the sensor equipment and a cloud platform is constructed. And the business layer selects a WISE-PaaS industrial internet platform of an industrial cloud platform. The WISE-PaaS accumulates the support to the edge side sensor, the industry equipment and the abundant data acquisition protocol and provides the cloud service and the flexible computing support after the long-term examination of the industrial Internet of things, and provides the abundant and flexible development interface for the application layer.
Preferably, the method for predicting the system health state based on the bayesian network and the basic level sensor data comprises the following four steps:
s1, the system analyzes the construction of the relation of each network node of Bayes. The gas station system is completed by mutually matching each subsystem, equipment and lower-level components and parts, and the running time, fault mechanism, environmental conditions and the like of a base-level product directly or indirectly influence the system state, so that the construction of each network node relation is the first step of establishing a prediction model;
and S2, establishing a prediction model of the base layer node. Assuming that the basic level nodes (root nodes) of the failure mechanism of the gas station have degradation characteristics, on the basis of constructing and obtaining the relation of each node of the Bayes, constructing a corresponding state prediction model by combining the characteristics of each mechanism and historical and measured data;
and S3, determining the information transmission relationship among the nodes. Establishing a state relationship between a non-root node and a father node thereof through a logic relationship such as a reliability model, and dividing the state relationship into a state logic relationship, a probability weight relationship and a characteristic parameter function relationship so as to describe the working state of the node;
and S4, predicting the health state of the system. And (3) operating the Bayesian network constructed in the first step to the third step by utilizing python, so that the normal working probability and the fault probability of the system at a certain moment can be predicted.
Preferably, the application layer is the front end of the whole system, directly faces to an end user, and mainly comprises five functional modules, namely a gas station real-time safe operation state, equipment maintenance, emergency rescue, gas station health management and information reporting. The front-end development adopts a Vue framework, and a bidirectional binding mechanism is used, so that a developer is liberated from the original operation of the DOM, only the change of data needs to be concerned, and the code is easier to maintain. And carrying out user interface interaction by using Element UI and Echarts, and carrying out data communication and WebService calling by adopting Axios and a back-end control layer.
The invention has the beneficial effects that: by using a WISE-PaaS industrial internet platform of an industrial cloud platform and comprehensively using technologies such as the internet of things, multi-sensor data fusion, data mining, a SpringBoot + Vue framework and the like, the functions of real-time monitoring of the safe operation state of the LNG gas station, predictive maintenance, equipment maintenance, remote inspection, flat fault alarm issuing and the like are realized. The intelligent, safe and competitive power of products of gas enterprises is improved while the safety supervision requirement of the LNG gas station is met.
Drawings
Fig. 1 is an internet of things architecture diagram of a real-time safety monitoring system of an LNG gas station provided by the invention;
fig. 2 is an architecture diagram of an internet of things of a service system provided by the present invention;
fig. 3 is a structure diagram of the relationship between the bayesian network nodes provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a LNG gas station real-time security monitoring system based on internet of things, including perception layer, network layer, platform layer and application layer, the perception layer with the network layer is connected, including gas station processing terminal, gas station processing terminal is connected with gas detector, temperature sensor, pressure sensor, flow sensor, smoke transducer and intelligent network camera, the network layer connects the platform layer, connects down the perception layer, including data gateway, data gateway with gas station processing terminal connects, the platform layer connects up the application layer, connects down the network layer, including industry cloud platform and service cloud, industry cloud platform with data gateway connects, again with service cloud communication, the application layer connects down the platform layer, including supervision department, gas company, service enterprise and customer, supervision department, gas company, service enterprise and customer with service cloud communication.
Further, the analog signal that gaseous detector, temperature sensor, pressure sensor, flow sensor, smoke transducer and intelligent network camera gathered includes combustible gas concentration, gas pitcher temperature, gas pitcher and pump pressure, liquefied natural gas flow, smog concentration and the real-time picture of gas station, each sensor with the intelligent network camera converts the analog signal who gathers into digital signal through AD conversion module through RS485 CAN communication protocol respectively to transmit to the processing terminal of installing at the gas station, the gas station process terminal with all install loRa communication module on the data gateway, the gas station process terminal with the data gateway passes through the communication of loRa communication protocol.
Further, the industrial cloud platform establishes connection with an MQTT service and issues a data subscription request to the service, the MQTT server sends required data to a WISE-PaaS industrial internet platform of the industrial cloud platform according to subscription information, and the WISE-IoT Suite/IoT Hub (industrial internet of things device access and management center) of the WISE-PaaS industrial internet platform can realize rapid access of devices and forwarding of device messages. By using the 'equipment model' technology of the WISE-PaaS industrial internet platform, the functions of equipment with different brands and classes can be abstracted and summarized to form a 'standard physical type', so that all parties can describe, control and understand the functions and characteristics of the equipment by using a uniform language. When the equipment is created after a type of equipment model is defined, the defined equipment model can be used, and the equipment can automatically inherit the content in the equipment model, so that the difficulty of equipment management is reduced. And managing the gas station processing terminal and the data gateway as Edge nodes by using an IoT Edge technology of the WISE-PaaS industrial internet platform, and performing deduplication, denoising, aggregation and filtering processing on the acquired real-time data on the Edge nodes to form a cloud-Edge cooperative architecture and improve the robustness of the whole system.
Furthermore, the real-time data received on the industrial cloud platform sends the subscription data to a third-party cloud platform deploying the service through an MQTT protocol, and system core functions of visualization of monitoring data of the gas station, fault prediction of the gas station, equipment maintenance, report of statistical data and the like are completed in the service system. And the terminal users of the supervision department, the gas company, the maintenance enterprise, the client and the like communicate with the service system through the WebSocket communication protocol, and can obtain corresponding use functions and data according to different access rights.
Furthermore, the service system follows an MVC design mode, a B/S framework of a SpringBoot + Vue framework is adopted, a SpringBoot + MyBatis + Redis + MySQL technology is developed and applied at the back end, and a Vue + ElementUI + Echarts technology is adopted at the front end.
Furthermore, the data layer uses a MySQL database, mySQL is a popular open-source relational database management system, the most common SQL language is used for database management, and the system has the characteristics of reliability, small size, high speed, low cost, easiness in use and the like. And the MySQL is used for storing data information required by systems such as various sensed data, real-time safe operation state data of the gas station, historical fault data, maintenance data and the like. The two most prominent storage engines of MySQL are MyISAM and InnoDB. The MyISAM storage engine belongs to non-transactional safety type, does not support transactions and foreign keys, cannot realize safe recovery after system crash, can realize high-speed storage and retrieval, and is suitable for small-sized application mainly based on data access; the InNODB is a default storage engine after MySQL 5.5, belongs to transaction safety, supports transaction characteristics such as submission, rollback, crash recovery and the like, has high requirements on the integrity of transactions, and is suitable for applications with frequent data updating, inserting and deleting operations. Because the data volume of the sensor is huge, the real-time data volume is large, and the requirement on the safety of the transaction is high. The system has huge data volume, more sensors have more data, and the requirement on the safety of transactions is higher; secondly, the real-time performance of the data is high in order to ensure safe operation, and frequent updating of the database table cannot be avoided. Therefore, the InNODB physical structure is selected to meet the use requirement of the system.
Furthermore, the service layer is a key ring which is started and stopped in the whole LNG gas station real-time monitoring system based on the technology of the Internet of things. The management, control and management of the terminal sensor equipment are integrated, an application development and unified interface is provided for an upper-layer system, and an end-to-end channel between the sensor equipment and a cloud platform is constructed. And the business layer selects a WISE-PaaS industrial internet platform of an industrial cloud platform. The WISE-PaaS accumulates the support to the edge side sensor, the industry equipment and the abundant data acquisition protocol and provides the cloud service and the flexible computing support after the long-term examination of the industrial Internet of things, and provides the abundant and flexible development interface for the application layer.
Furthermore, the method for predicting the system health state based on the Bayesian network and the basic level sensor data comprises the following four steps of:
s1, referring to FIG. 3, the system analyzes the construction of the relation of each network node of Bayes. The gas station system is completed by mutually matching each subsystem, equipment and lower-level components and parts, and the running time, fault mechanism, environmental conditions and the like of a base-level product directly or indirectly influence the system state, so that the construction of each network node relation is the first step of establishing a prediction model; and S2, establishing a prediction model of the base layer node. Assuming that all basic level nodes (root nodes) of a failure mechanism of the gas station equipment have degradation characteristics, on the basis of constructing and obtaining the relation of each Bayesian node, constructing a corresponding state prediction model by combining the characteristics of each mechanism and historical and measured data;
and S3, determining the information transmission relationship among the nodes. Establishing a state relationship between a non-root node and a father node thereof through a logic relationship such as a reliability model, and dividing the state relationship into a state logic relationship, a probability weight relationship and a characteristic parameter function relationship so as to describe the working state of the node;
and S4, predicting the health state of the system. And (3) operating the Bayesian network constructed in the first step to the third step by utilizing python, so that the normal working probability and the fault probability of the system at a certain moment can be predicted.
Furthermore, the application layer is the front end of the whole system, directly faces to an end user, and mainly comprises five functional modules, namely a gas station real-time safe operation state, equipment maintenance, emergency rescue, gas station health management and information reporting. The front-end development adopts a Vue frame, and a bidirectional binding mechanism is used to enable a developer to be liberated from the original operation of the DOM, only the change of data needs to be concerned, and the code is easier to maintain. And carrying out user interface interaction by using Element UI and Echarts, and carrying out data communication and WebService calling by adopting Axios and a back-end control layer.
Furthermore, the real-time safe operation state module of the gas station can display a series of parameters such as the real-time combustible gas concentration, the gas tank temperature, the gas tank and pump pressure, the liquefied natural gas flow rate, the smoke concentration and the like of the gas station in the form of graphs and animations, so that monitoring personnel can be clear of the real-time safe operation state of the gas station.
Further, the device maintenance module has the following features in addition to the functions of a general maintenance management system: and in the field maintenance process, scanning the two-dimensional code of the gas station, and uploading the pictures of all stages in the maintenance process by maintenance personnel according to the prompt of a system. Meanwhile, the system can automatically record the position of the maintenance personnel, the maintenance duration and other data, quantitatively record the maintenance process and provide scientific basis for the supervision department to evaluate the maintenance enterprise. The equipment maintenance module is linked with the gas station health management module, and can automatically adjust the maintenance plan according to the change condition of the gas station health condition, thereby improving the pertinence and the effectiveness of the maintenance behavior and being beneficial to reducing the operation cost of maintenance enterprises.
Furthermore, the emergency rescue module automatically acquires emergency events such as gas leakage and fire accidents of the gas station, records the fault handling process in real time, and pushes information to gas enterprises, maintenance companies and government supervision departments, so that rescue workers can accurately, quickly and scientifically solve the gas station accidents conveniently. Meanwhile, the display terminal installed in the gas station can be used for pacifying the trapped workers in the gas station and displaying the current positions of the rescuers in real time.
Further, the gas station health management module calls a gas station fault prediction model to judge the future fault time point, fault degree, fault type and fault position of the gas station, so that the evaluation on the system health state of the gas station and the equipment maintenance are realized.
Furthermore, the information reporting module integrates the collected data into an urban Internet of things platform by constructing information databases of operation, maintenance, failure and the like of the gas station, enables administrative supervision departments to timely know the number, frequency, rescue timeliness and the like of the monthly failures of the gas station through a monthly reporting system, and regularly releases the monthly failures to the public, so as to assist in realizing a safe and refined management mode of the gas station.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "comprising," "electrically connecting," and the like are to be construed broadly, e.g., electrical connections may be fixed connections, removable connections, or integral connections; the terms can be directly connected or indirectly connected through an intermediate, and the specific meaning of the terms in the invention can be understood according to the specific situation of a person skilled in the art.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. The utility model provides a LNG gas station real-time safety monitoring system based on internet of things, its characterized in that includes: a sensing layer, a network layer, a platform layer, and an application layer, wherein,
the sensing layer is connected with the network layer and comprises: the system comprises a gas station processing terminal, a gas detector, a temperature sensor, a pressure sensor, a flow sensor, a smoke sensor and an intelligent network camera, wherein the gas station processing terminal is connected with the gas detector, the temperature sensor, the pressure sensor, the flow sensor, the smoke sensor and the intelligent network camera;
the network layer is connected with the platform layer and the perception layer, and the perception layer comprises: the data gateway is connected with the gas station processing terminal;
the platform layer is connected with the application layer and connected with the network layer, and the platform layer comprises: the industrial cloud platform is connected with the data gateway and then communicates with the business service cloud;
the application layer is connected with the platform layer, and the platform layer comprises: the system comprises a supervision department, a gas company, a maintenance enterprise and a client, wherein the supervision department, the gas company, the maintenance enterprise and the client are in communication with the business service cloud.
2. The real-time safety monitoring system for the LNG filling station based on the Internet of things technology as claimed in claim 1,
the analog signal that gaseous detector and intelligent network camera gathered includes: combustible gas concentration, gas tank temperature, gas tank and pump pressure, liquefied natural gas flow, smoke concentration and a gas station real-time picture;
temperature sensor, pressure sensor, flow sensor, smoke transducer each sensor with the analog signal that intelligence network camera was gathered is converted into digital signal through AD conversion module through RS485 CAN communication protocol respectively to transmit and install the processing terminal at the gas station, the gas station processing terminal with all install loRa communication module on the data gateway, the gas station processing terminal with data gateway passes through the communication of loRa communication protocol.
3. The LNG gas station real-time security monitoring system based on the Internet of things technology as claimed in claim 1, wherein the industrial cloud platform establishes a connection with an MQTT service and wants to serve and issues a data subscription request to the service, the MQTT server sends data acquired from a data gateway to a WISE-PaaS industrial internet platform of the research and development industrial control cloud platform according to subscription information and the needed data, and fast access of equipment and forwarding of equipment messages are realized through the WISE-IoT Suite/IoT Hub of the WISE-PaaS industrial internet platform; by utilizing the 'equipment model' technology of the WISE-PaaS industrial internet platform, the functions of equipment with different brands and classes are abstracted and summarized to form a 'standard physical type', so that all parties can describe, control and understand the functions and characteristics of the equipment by using a uniform language; when the equipment model is defined and then the equipment is established, the defined equipment model can be used, and the equipment can automatically inherit the content in the equipment model, so that the difficulty of equipment management is reduced; and managing the gas station processing terminal and the data gateway as Edge nodes by using an IoT Edge technology of the WISE-PaaS industrial internet platform, and performing de-duplication, noise reduction, aggregation and filtering processing on the acquired real-time data on the Edge nodes to form a cloud-Edge cooperative architecture so as to improve the robustness of the whole system.
4. The LNG gas station real-time safety monitoring system based on the Internet of things technology of claim 1, wherein real-time data received on the industrial cloud platform sends subscription data to a third party cloud platform deploying services through an MQTT protocol, and system core functions of gas station monitoring data visualization, gas station fault prediction, equipment maintenance and statistical data reporting are completed in a service system; the terminal users of supervision departments, gas companies, maintenance enterprises and clients communicate with the service system through the WebSocket communication protocol, and corresponding use functions and data are obtained according to different access rights.
5. The real-time safety monitoring system for the LNG filling station based on the technology of the internet of things according to claim 4, wherein the service system follows MVC design mode, a B/S framework of a SpringBoot + Vue framework is adopted, springBoot + MyBatis + Redis + MySQL technology is developed and applied at a rear end, and Vue + ElementUI + Echarts technology is adopted at a front end.
6. The LNG gas station real-time safety monitoring system based on the technology of the Internet of things according to claim 1, further comprising: the data layer uses a MySQL database and stores data information required by systems such as various sensed data, real-time safe operation state data of a gas station, historical fault data, maintenance data and the like by using MySQL; the two most major storage engines of MySQL are MyISAM and InnoDB; the MyISAM storage engine belongs to a non-transactional security type; innodB is a default storage engine after MySQL 5.5, belongs to a transaction safety type, and supports transaction characteristics of submission, rollback, crash recovery and the like.
7. The LNG gas station real-time safety monitoring system based on the technology of the Internet of things according to claim 6, further comprising: the service layer is a key ring which is started and stopped in the whole LNG gas station real-time monitoring system based on the Internet of things technology, realizes the integration of management, control and management of terminal sensor equipment, provides an application development and uniform interface for an upper layer system, and constructs an end-to-end channel between the sensor equipment and a cloud platform; the business layer selects a WISE-PaaS industrial internet platform of an industrial cloud platform; the WISE-PaaS is characterized in that after long-term examination of the industrial Internet of things, support for edge side sensors, industrial equipment and rich data acquisition protocols is accumulated, cloud service and flexible computing support are provided, and a rich and flexible development interface is provided for an application layer.
8. The LNG gas station real-time safety monitoring system based on the Internet of things technology as claimed in claim 1, wherein the gas detector, the temperature sensor, the pressure sensor, the flow sensor, the smoke sensor and the intelligent network camera collect various data of equipment, and analyze the equipment data and the historical maintenance work order in a normal working state by using a PHM technology and a Bayesian theory statistical analysis method, and the system based on the Bayesian network and the basic level sensor data predicts the health state.
9. The real-time safety monitoring system for the LNG filling station based on the technology of the internet of things according to claim 8, wherein the system based on the Bayesian network and the base layer sensor data is used for predicting the health status, and comprises:
s1, construction of a system analysis Bayes network node relation: the gas station system is completed by mutually matching each subsystem, equipment and lower-level components and parts, and the running time, fault mechanism, environmental conditions and the like of a base-level product directly or indirectly influence the system state, so that the construction of each network node relation is the first step of establishing a prediction model;
s2, establishing a prediction model of the base layer node: assuming that all basic level nodes of the failure mechanism of the gas station have degradation characteristics, and constructing a corresponding state prediction model by combining the characteristics of each mechanism and historical and measured data on the basis of constructing and obtaining the relation of each Bayes node;
s3, determining the information transmission relationship among the nodes: establishing a state relationship between a non-root node and a father node thereof through a logic relationship such as a reliability model, and dividing the state relationship into a state logic relationship, a probability weight relationship and a characteristic parameter function relationship so as to describe the working state of the node;
s4, predicting the health state of the system: and (4) computing the Bayesian network constructed in the first step to the third step by utilizing python, and predicting the normal working probability and the fault probability of the system at a certain moment.
10. The real-time safety monitoring system for the LNG filling station based on the technology of the Internet of things as claimed in claim 1, wherein the application layer is a front end of the whole system, directly facing an end user, and comprises: the system comprises five functional modules, namely a gas station real-time safe operation state, equipment maintenance, emergency rescue, gas station health management and information reporting. The front-end development adopts a Vue framework, and a bidirectional binding mechanism is used for freeing developers from the original operation of DOM; and carrying out user interface interaction by using Element UI and Echarts, and carrying out data communication and WebService calling by adopting Axios and a back-end control layer.
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| CN116192601A (en) * | 2023-04-23 | 2023-05-30 | 广东电网有限责任公司中山供电局 | Cloud edge end cooperative control system based on electric power Internet of things |
| CN117119022A (en) * | 2023-10-25 | 2023-11-24 | 广东百德朗科技有限公司 | Energy consumption data processing method, system, equipment and medium based on MQTT protocol |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116192601A (en) * | 2023-04-23 | 2023-05-30 | 广东电网有限责任公司中山供电局 | Cloud edge end cooperative control system based on electric power Internet of things |
| CN116192601B (en) * | 2023-04-23 | 2023-08-01 | 广东电网有限责任公司中山供电局 | Cloud edge end cooperative control system based on electric power Internet of things |
| CN117119022A (en) * | 2023-10-25 | 2023-11-24 | 广东百德朗科技有限公司 | Energy consumption data processing method, system, equipment and medium based on MQTT protocol |
| CN117119022B (en) * | 2023-10-25 | 2024-01-30 | 广东百德朗科技有限公司 | Energy consumption data processing method, system, equipment and medium based on MQTT protocol |
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