CN110942200A - LNG energy management method based on Internet of things block chain technology - Google Patents
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Abstract
The invention discloses an LNG energy management method based on an Internet of things block chain technology, which comprises the steps of constructing an LNG energy Internet of things platform, and completing data acquisition, data access and data analysis through the constructed LNG energy Internet of things platform; constructing a big data analysis platform, predicting future gas utilization trend and providing networked transportation capacity scheduling for all vehicles in the platform by carrying out big data analysis on the collected data, and predicting stock information; and constructing a block chain network, registering all intelligent devices on the Internet of things platform as self-maintenance and adjustment independent network nodes on the block chain through an intelligent contract, and prescribing or implanting rules to the nodes in advance so as to exchange information or verify identity functions at different nodes. The invention provides an energy purchasing solution for the industry, and is expected to improve the plan prediction accuracy, strengthen the integration level of informationized data and improve the accuracy of the logistics distribution link.
Description
Technical Field
The invention relates to the technical field of Internet of things and big data, in particular to an LNG energy management method based on an Internet of things block chain technology.
Background
From 2005 to 2019, the LNG energy market has been greatly developed in China, inland liquefaction plants have reached more than 200 families, coastal receiving stations have completed the construction of more than 30 seats, and national LNG energy consumption has reached 5500 ten thousand tons, accounting for 27% of the total supply of natural gas. With the rapid development of the LNG energy market, infrastructure construction of related logistics distribution, storage, metering and other links is relatively slow, so that certain bottleneck exists in the logistics distribution field in the whole industry, and severe fluctuation of the LNG price in 2017 is directly caused.
The core pain point of the existing LNG energy purchasing module:
1. poor accuracy of plan prediction: due to the lack of necessary algorithm basis, the planning accuracy of urban gas is generally about 80%, the planning accuracy of vehicle gas is about 70%, and the planning accuracy of other types is about 80%, so that the whole industry causes service risks such as vehicle pressing, supply interruption and the like due to inaccurate planning.
2. Information dispersion and lack of monitoring: data informatization degrees of links such as gas consumption data, logistics information and the like in the whole industry are generally low, and effective planning, arrangement and tracking management of the whole process of energy purchasing and transportation are difficult to carry out.
3. Poor stability of LNG transport capacity: compared with pipeline gas, the LNG transportation mode has great defects in the aspects of unit operation efficiency, logistics guarantee, on-the-way safety, planning accuracy and the like, and is also the biggest bottleneck of the development of the whole energy product.
Disclosure of Invention
The present invention is directed to at least solving the problems of the prior art. The LNG energy Internet of things platform is constructed, and data acquisition, data access and data analysis are completed through the constructed LNG energy Internet of things platform; constructing a big data analysis platform, predicting future gas utilization trend and providing networked transportation capacity scheduling for all vehicles in the LNG energy Internet of things platform by carrying out big data analysis on the collected data, and predicting stock information; and constructing a block chain network, registering all intelligent devices on the Internet of things platform as self-maintenance and adjustment independent network nodes on the block chain through an intelligent contract, and prescribing or implanting rules to the nodes in advance so as to exchange information or verify identity functions at different nodes.
Still further, the constructing of the LNG energy internet of things platform further includes: meanwhile, a structure flow network remote transmission monitoring platform is constructed, and monitoring equipment and remote information transmission equipment are installed on a gas station, a factory, a single-point direct supply user and an LNG transport tank car, so that information such as liquid level, temperature, pressure, inventory and the like of the equipment can be collected and shared in real time.
Still further, the building a big data analysis platform further comprises: according to the multi-source data characteristics, different data fusion strategies and implementation mechanisms are formulated, wherein the data fusion strategies and the implementation mechanisms are as follows:
strategy a, carrying out data fusion on the Internet of things by adopting CIM (common information model) of super brain self-research for data related to the Internet of things equipment;
strategy b, for enterprise operation data, performing data fusion based on the business ontology of the business object and the mapping technology of the business metadata technology metadata;
the strategy c is that for the interconnected data and the external third-party data, a knowledge graph mode is adopted, firstly, the association relation between the data objects is established, and the data fusion in the field is carried out according to the association relation;
and finally, issuing the formulated data fusion strategy to a data processing engine at the outlet side of the data bus, and performing data fusion processing on the data accessed to the data bus.
Still further, the data access further comprises: the method comprises the following steps of accessing various external data, developing a suitable gateway and a communication/coding protocol related to data access, and constructing a unified external data access gateway, wherein the gateway is one or more of an IOT gateway, an interconnected external data gateway or an enterprise operation data gateway; and constructing a consistent data access bus cluster, and ensuring that the throughput of data access can be expanded as required by rapidly and horizontally expanding bus cluster nodes.
Further, the building big data analysis platform comprises three core models, wherein the core models comprise: the demand forecasting model is used for forecasting gas utilization tendency in a future time period by combining key influence factors according to the type of a client and optimizing the forecasting precision of the model through an autonomous learning algorithm, wherein the key influence factors comprise weather, holidays and production plan data; the motion matching model is used for acquiring consignor order data and providing a networked transport capacity scheduling algorithm for all vehicles in the platform by combining transport capacity resource distribution, transport price, running time, customer requirements and route mileage data information; and the inventory prediction model provides an inventory analysis model according to the customer gas demand prediction data, the vehicle on-road data and the real-time inventory data, and performs automatic replenishment and inventory early warning when the predicted inventory information is smaller than a preset threshold value.
Still further, the building a blockchain network further comprises: a block chain payment network is established among the filling equipment, the LNG tank car and the metering equipment, so that the intellectualization of the whole metering, settlement and payment links is realized; information data integration with the block chain at the supply chain is performed by means of NFC and/or RFID chips.
Furthermore, the LNG energy Internet of things platform takes a UDP (user Datagram protocol) protocol as an Internet of things equipment remote transmission standard protocol, and is compatible with HTTP and TCP (Transmission control protocol) protocol as equipment remote transmission support so as to realize real-time data uploading of equipment; meanwhile, the connection of the whole Internet of things equipment is realized by combining a mobile application technology and a video monitoring technology, wherein the core equipment of the platform is a GPRS (general packet radio service) DTU (data transfer unit), the DTU exchanges data with a single-point direct supply device PLC (programmable logic controller) through an MODBUS (modulation bus) protocol by using an RS485 interface, and the DTU acquires the data and then sends the data to the Internet of things platform through a standard background protocol; through install iSmartcryo intelligent sensor additional on the tank wagon, gather data such as liquid level, pressure, pass to on-vehicle controller through the RS485 mouth of sensor, send the dispatch center for headquarter from on-vehicle controller, realize uploading to the thing networking platform to tank wagon liquid level, pressure data monitoring and the data that will detect.
Furthermore, the LNG energy Internet of things platform is based on a micro-service concept, is supported by a Spring boot, is centered by a Spring Cloud, is processed by a Spring Data JPA + Hibernate database, is used as a Data flow twisting tool, is used as a client for calling among services in the platform by Feign, is used for providing services according to a RESTFull protocol by a Zuul, and surrounds all function clusters of the Internet of things to complete the links of Data access, analysis, storage and display of the whole Internet of things.
The invention also discloses an electronic device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of LNG energy management based on the Internet of things block chain technology as described above via execution of the executable instructions.
The invention also discloses a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, implements the method for LNG energy management based on the internet of things block chain technique as described above.
Compared with the prior art, the invention has the following beneficial effects: based on industrial internet of things data remote transmission, combined with block chain related technologies, based on a big data platform, an in-use gas monitoring scheme, an inventory supervision scheme, a plan prediction scheme and a logistics distribution scheme are expected, a solution scheme for energy purchasing is provided for the industry, the plan prediction accuracy is expected to be improved, the integration level of informationized data is enhanced, and the accuracy of a logistics distribution link is improved.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the drawings, like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a logic architecture diagram of an internet of things remote monitoring platform according to the present invention;
fig. 2 is a micro-service technology architecture diagram of an internet of things remote monitoring platform according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating the big data platform security architecture according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a data services logical architecture according to one embodiment of the present invention;
FIG. 5 is a diagram illustrating a big data platform business architecture, according to an embodiment of the present invention.
Detailed Description
Example one
1. Internet of things
Through the internet of things and the internet technology, a visual, controllable, safe and quick natural gas full-industry chain service platform for providing decision support for clients from terminal metadata acquisition is realized, and interconnection and transparent link of LNG industry elements are realized.
The technical architecture of the service platform of the Internet of things comprises an acquisition layer, an access layer, a platform layer and an application layer, and the acquisition of data, the access of data, the analysis of data and the application display of data are completed.
The method comprises an application cluster, a relational data cluster, a non-relational data cluster, a file storage cluster, a network access gateway cluster, a data analysis cluster and a big data analysis cluster.
The platform is based on a micro-service concept, supported by Spring boots, centered by Spring Cloud, processed by Spring Data JPA + Hibernate as a database, a Data flow twisting tool by Camel, a client terminal by Feign among services in the platform, and a service provided by Spring MVC according to RESTFull protocol, and surrounds each function cluster of the Internet of things to finish the links of Data access, analysis, storage and display of the whole Internet of things.
Meanwhile, mainstream middleware such as Redis, ActiveMQ, MongoDB, Mysql and the like or third-party application are used for perfecting and improving the platform availability and the capacity expansion.
The platform uses a UDP protocol as a remote transmission standard protocol of the Internet of things equipment, is compatible with HTTP and TCP protocols, serves as equipment remote transmission support, and is used for completing equipment real-time data uploading. And the connection of the whole Internet of things equipment is realized by combining a mobile application technology and a video monitoring technology.
Further, the core device is a GPRS type DTU: the DTU uses the RS485 interface to exchange data with the single-point direct supply device PLC through an MODBUS protocol, and the DTU acquires the data and then sends the data to the Internet of things platform through a standard background protocol.
Vehicle-mounted liquid level monitoring equipment: install iSmartcryo intelligent sensor additional on the tank wagon, gather data such as liquid level, pressure, pass to on-vehicle controller through the RS485 mouth of sensor, send the dispatch center for headquarter from on-vehicle controller, realize monitoring such as tank wagon liquid level, pressure.
Entrust standardized third party firm, according to safe operation standard, use guide rail type shell, make things convenient for the regulator cubicle interior installation to use.
The logistics network remote transmission monitoring platform realizes real-time acquisition and sharing of information such as liquid level, temperature, pressure, inventory and the like of equipment by installing monitoring equipment and remote information transmission equipment on a gas station, a factory, a single-point direct supply user and an LNG transport tank car.
The main functional modules that have been completed at present include: and (4) designing system functions such as site monitoring, statistical prediction, logistics tracking, alarm monitoring and the like. The internet of things collection points and data lists are shown in the following table.
2. Big data analysis
A big data processing platform suitable for a self scene is constructed by depending on a mature big data processing technology (data distributed storage and distributed computation) in the industry at present. The big data platform product has the technical characteristics that:
1) data fusion
According to the characteristics of multi-source data, different data fusion strategies and implementation mechanisms are formulated:
a. and for data related to the Internet of things equipment, performing Internet of things data fusion by using CIM (common information model) of super brain self-research.
b. And for the enterprise operation data, data fusion is carried out based on the business body of the business object and the mapping technology of the business metadata → the technical metadata.
c. For interconnected data and external third-party data (including government shared data), a knowledge graph mode is adopted, firstly, the association relation between data objects is established, and then, the data fusion in the field is carried out on the basis of the association relation.
And issuing the formulated data fusion strategy to a data processing engine at the outlet side of the data bus, and performing data fusion processing on the data accessed to the data bus.
2) Data access
a. For the access of various external data, a suitable gateway and a communication/coding protocol related to data access are developed, and a uniform external data access gateway (IOT gateway/interconnected external data gateway/enterprise operation data gateway) is created.
b. And constructing a consistent data access bus cluster and ensuring that the throughput of the data access bus cluster can be expanded as required (by rapidly expanding the bus cluster nodes horizontally).
The core model of the big data platform comprises:
1) calculating a prediction model
And (4) according to the type of the client, by combining key influence factors such as weather, holidays, production plans and the like, predicting the gas utilization trend in the future time period, and performing an autonomous learning functional algorithm.
2) Motion matching model
According to the order of the shipper, information such as the distribution of the capacity resources, the transportation price, the running time, the customer demand, the route mileage and the like is combined, a networked capacity scheduling algorithm is provided for all vehicles in the platform, the logistics cost is reduced, and the capacity resources are efficiently utilized.
3) Inventory prediction model
And providing an inventory analysis model for the customer according to the customer gas demand prediction data, the data of vehicles in transit and the like and the real-time inventory data, and providing service functions of automatic replenishment, inventory early warning and the like.
3. Block chaining techniques
The block chain technology establishes a low-cost direct communication bridge among the filling equipment, the LNG tank car and the metering equipment, and improves the safety and the privacy of the system through a decentralized consensus mechanism. Meanwhile, the intelligent contract superposed by the block chain technology can change the intelligent equipment of each internet of things into independent network nodes capable of self-maintaining and adjusting, and the nodes can perform functions of exchanging information with other nodes or verifying identity and the like on the basis of rules specified in advance or implanted. The items pass through a payment network of a block chain, so that the measurement, settlement, payment and even the whole transaction link are intelligentized.
The core functions include:
and (4) transaction fund security: the blockchain fully reconstructs the transaction model and introduces new fields, pushing the business-friendly functionality naturally to the agreement level. And the online transaction fund security is practically ensured through the seamless integration with the e-commerce platform.
Supply chain transparent anti-counterfeiting: information data integration with the blockchain is achieved by means of NFC (end user interaction) and/or RFID (warehouse operations) chips. And aiming at ownership transfer of the digital products on the block chain, enterprises in the park are realized, integration of all parties of the supply chain is realized in the whole product period, and the digital products are operated on the block chain through intelligent contracts.
Example two
The embodiment provides an LNG energy management method based on an Internet of things block chain technology, which comprises the steps of constructing an LNG energy Internet of things platform, and completing data acquisition, data access and data analysis through the constructed LNG energy Internet of things platform; constructing a big data analysis platform, predicting future gas utilization trend and providing networked transportation capacity scheduling for all vehicles in the LNG energy Internet of things platform by carrying out big data analysis on the collected data, and predicting stock information; and constructing a block chain network, registering all intelligent devices on the Internet of things platform as self-maintenance and adjustment independent network nodes on the block chain through an intelligent contract, and prescribing or implanting rules to the nodes in advance so as to exchange information or verify identity functions at different nodes.
Still further, the constructing of the LNG energy internet of things platform further includes: meanwhile, a structure flow network remote transmission monitoring platform is constructed, and monitoring equipment and remote information transmission equipment are installed on a gas station, a factory, a single-point direct supply user and an LNG transport tank car, so that information such as liquid level, temperature, pressure, inventory and the like of the equipment can be collected and shared in real time.
Still further, the building a big data analysis platform further comprises: according to the multi-source data characteristics, different data fusion strategies and implementation mechanisms are formulated, wherein the data fusion strategies and the implementation mechanisms are as follows:
strategy a, carrying out data fusion on the Internet of things by adopting CIM (common information model) of super brain self-research for data related to the Internet of things equipment;
strategy b, for enterprise operation data, performing data fusion based on the business ontology of the business object and the mapping technology of the business metadata technology metadata;
the strategy c is that for the interconnected data and the external third-party data, a knowledge graph mode is adopted, firstly, the association relation between the data objects is established, and the data fusion in the field is carried out according to the association relation;
and finally, issuing the formulated data fusion strategy to a data processing engine at the outlet side of the data bus, and performing data fusion processing on the data accessed to the data bus.
Still further, the data access further comprises: the method comprises the following steps of accessing various external data, developing a suitable gateway and a communication/coding protocol related to data access, and constructing a unified external data access gateway, wherein the gateway is one or more of an IOT gateway, an interconnected external data gateway or an enterprise operation data gateway; and constructing a consistent data access bus cluster, and ensuring that the throughput of data access can be expanded as required by rapidly and horizontally expanding bus cluster nodes.
Further, the building big data analysis platform comprises three core models, wherein the core models comprise:
the demand forecasting model is used for forecasting gas utilization tendency in a future time period by combining key influence factors according to the type of a client and optimizing the forecasting precision of the model through an autonomous learning algorithm, wherein the key influence factors comprise weather, holidays and production plan data; the motion matching model is used for acquiring consignor order data and providing a networked transport capacity scheduling algorithm for all vehicles in the platform by combining transport capacity resource distribution, transport price, running time, customer requirements and route mileage data information; and the inventory prediction model provides an inventory analysis model according to the customer gas demand prediction data, the vehicle on-road data and the real-time inventory data, and performs automatic replenishment and inventory early warning when the predicted inventory information is smaller than a preset threshold value.
Still further, the building a blockchain network further comprises: a block chain payment network is established among the filling equipment, the LNG tank car and the metering equipment, so that the intellectualization of the whole metering, settlement and payment links is realized; information data integration with the block chain at the supply chain is performed by means of NFC and/or RFID chips.
Furthermore, the LNG energy Internet of things platform takes a UDP (user Datagram protocol) protocol as an Internet of things equipment remote transmission standard protocol, and is compatible with HTTP and TCP (Transmission control protocol) protocol as equipment remote transmission support so as to realize real-time data uploading of equipment; meanwhile, the connection of the whole Internet of things equipment is realized by combining a mobile application technology and a video monitoring technology, wherein the core equipment of the platform is a GPRS (general packet radio service) DTU (data transfer unit), the DTU exchanges data with a single-point direct supply device PLC (programmable logic controller) through an MODBUS (modulation bus) protocol by using an RS485 interface, and the DTU acquires the data and then sends the data to the Internet of things platform through a standard background protocol; through install iSmartcryo intelligent sensor additional on the tank wagon, gather data such as liquid level, pressure, pass to on-vehicle controller through the RS485 mouth of sensor, send the dispatch center for headquarter from on-vehicle controller, realize uploading to the thing networking platform to tank wagon liquid level, pressure data monitoring and the data that will detect.
Furthermore, the LNG energy Internet of things platform is based on a micro-service concept, is supported by a Spring boot, is centered by a Spring Cloud, is processed by a Spring Data JPA + Hibernate database, is used as a Data flow twisting tool, is used as a client for calling among services in the platform by Feign, is used for providing services according to a RESTFull protocol by a Zuul, and surrounds all function clusters of the Internet of things to complete the links of Data access, analysis, storage and display of the whole Internet of things.
The invention also discloses an electronic device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of LNG energy management based on the Internet of things block chain technology as described above via execution of the executable instructions.
The invention also discloses a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, implements the method for LNG energy management based on the internet of things block chain technique as described above.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. It is therefore intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is the following claims, including all equivalents, that are intended to define the spirit and scope of this invention. The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (10)
1. The LNG energy management method based on the Internet of things block chain technology is characterized by comprising the steps of constructing an LNG energy Internet of things platform, and completing data acquisition, data access and data analysis through the constructed LNG energy Internet of things platform; constructing a big data analysis platform, predicting future gas utilization trend and providing networked transportation capacity scheduling for all vehicles in the LNG energy Internet of things platform by carrying out big data analysis on the collected data, and predicting stock information; and constructing a block chain network, registering all intelligent devices on the Internet of things platform as self-maintenance and adjustment independent network nodes on the block chain through an intelligent contract, and prescribing or implanting rules to the nodes in advance so as to exchange information or verify identity functions at different nodes.
2. The method for LNG energy management based on internet of things block chain technology of claim 1, wherein the constructing the LNG energy internet of things platform further comprises: meanwhile, a structure flow network remote transmission monitoring platform is constructed, and monitoring equipment and remote information transmission equipment are installed on a gas station, a factory, a single-point direct supply user and an LNG transport tank car, so that information such as liquid level, temperature, pressure, inventory and the like of the equipment can be collected and shared in real time.
3. The method of claim 1, wherein the constructing the big data analytics platform further comprises: according to the multi-source data characteristics, different data fusion strategies and implementation mechanisms are formulated, wherein the data fusion strategies and the implementation mechanisms are as follows:
strategy a, carrying out data fusion on the Internet of things by adopting CIM (common information model) of super brain self-research for data related to the Internet of things equipment;
strategy b, for enterprise operation data, performing data fusion based on the business ontology of the business object and the mapping technology of the business metadata technology metadata;
the strategy c is that for the interconnected data and the external third-party data, a knowledge graph mode is adopted, firstly, the association relation between the data objects is established, and the data fusion in the field is carried out according to the association relation;
and finally, issuing the formulated data fusion strategy to a data processing engine at the outlet side of the data bus, and performing data fusion processing on the data accessed to the data bus.
4. The method of claim 1, wherein the data access further comprises: the method comprises the following steps of accessing various external data, developing a suitable gateway and a communication/coding protocol related to data access, and constructing a unified external data access gateway, wherein the gateway is one or more of an IOT gateway, an interconnected external data gateway or an enterprise operation data gateway; and constructing a consistent data access bus cluster, and ensuring that the throughput of data access can be expanded as required by rapidly and horizontally expanding bus cluster nodes.
5. The method for LNG energy management based on the internet of things block chain technology of claim 1, wherein the building big data analysis platform comprises three core models, and the core models comprise: the demand forecasting model is used for forecasting gas utilization tendency in a future time period by combining key influence factors according to the type of a client and optimizing the forecasting precision of the model through an autonomous learning algorithm, wherein the key influence factors comprise weather, holidays and production plan data; the motion matching model is used for acquiring consignor order data and providing a networked transport capacity scheduling algorithm for all vehicles in the platform by combining transport capacity resource distribution, transport price, running time, customer requirements and route mileage data information; and the inventory prediction model provides an inventory analysis model according to the customer gas demand prediction data, the vehicle on-road data and the real-time inventory data, and performs automatic replenishment and inventory early warning when the predicted inventory information is smaller than a preset threshold value.
6. The method of claim 1, wherein the building a blockchain network further comprises: a block chain payment network is established among the filling equipment, the LNG tank car and the metering equipment, so that the intellectualization of the whole metering, settlement and payment links is realized; information data integration with the block chain at the supply chain is performed by means of NFC and/or RFID chips.
7. The method for LNG energy management based on the internet of things block chain technology of claim 1, wherein the LNG energy internet of things platform uses UDP as the standard protocol for device remote transmission of the internet of things, and is compatible with HTTP and TCP as the device remote transmission support, so as to implement device real-time data uploading; meanwhile, the connection of the whole Internet of things equipment is realized by combining a mobile application technology and a video monitoring technology, wherein the core equipment of the platform is a GPRS (general packet radio service) DTU (data transfer unit), the DTU exchanges data with a single-point direct supply device PLC (programmable logic controller) through an MODBUS (modulation bus) protocol by using an RS485 interface, and the DTU acquires the data and then sends the data to the Internet of things platform through a standard background protocol; through install iSmartcryo intelligent sensor additional on the tank wagon, gather data such as liquid level, pressure, pass to on-vehicle controller through the RS485 mouth of sensor, send the dispatch center for headquarter from on-vehicle controller, realize uploading to the thing networking platform to tank wagon liquid level, pressure data monitoring and the data that will detect.
8. The method for managing the LNG energy based on the IOT technology of any one of claims 1 to 7, wherein the platform of the IOT for the LNG energy is based on a micro-service concept, supported by Spring boots, centered by Spring cloud, registered and discovered by Eureka, fuse by Hystrix, unified gateway of the platform by Zuul, processed by Spring Data JPA + Hibernate as a database, Data flow twisting tool by Camel, client invoked by Feign among the services in the platform, and externally provided with services by Spring MVC according to RESTFull protocol, surrounding the functional clusters of the IOT, completing the links of Data access, analysis, storage and display of the whole IOT.
9. An electronic device, comprising:
a processor; and the number of the first and second groups,
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of LNG energy management based on the Internet of things blockchain technology of any one of claims 1 to 8 via execution of the executable instructions.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method for LNG energy management based on an internet of things block chain technique of any one of claims 1 to 8.
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