CN115277743B - Ship energy consumption and carbon emission monitoring system based on Internet of things - Google Patents
Ship energy consumption and carbon emission monitoring system based on Internet of things Download PDFInfo
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- CN115277743B CN115277743B CN202210712399.0A CN202210712399A CN115277743B CN 115277743 B CN115277743 B CN 115277743B CN 202210712399 A CN202210712399 A CN 202210712399A CN 115277743 B CN115277743 B CN 115277743B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
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Abstract
The invention provides a ship energy consumption and carbon emission monitoring system based on the Internet of things, which comprises the following components: the device comprises a sensor unit, a data processing unit and a big data processing unit; the sensor unit is respectively connected with the data processing unit and the big data processing unit and is used for detecting ship navigation data, ship equipment working condition data and ship fuel oil stock data; the data processing unit is connected with the big data processing unit; the beneficial effects of the invention are as follows: the sensor unit can detect the ship navigation data, the ship equipment working condition data and the ship fuel stock data, the data processing unit can process the ship fuel stock data, the big data processing unit can apply big data fitting and data twin technology to establish the ship in different states and sea conditions and the fuel consumption and CO of the main electromechanical equipment under different working conditions 2 The mathematical model of the discharge amount can accurately measure and calculate the ship energy consumption and carbon discharge.
Description
Technical Field
The invention relates to the technical field of ship energy consumption, in particular to a ship energy consumption and carbon emission monitoring system based on the Internet of things.
Background
The energy consumption of a ship is the ship operationThe main engine, the power generation diesel engine and the boiler of the ship are the most of the cost, the fuel oil is used, the shipping is the industry with huge carbon emission, the ship route is changeable, the working condition is influenced by the offshore environment and is complex and changeable, the working condition of main energy consumption equipment also fluctuates along with the ship, and the accurate measurement of the ship energy consumption and the carbon emission and the realization of on-line monitoring are difficult points; (1) document accounting+manual measurement statistics method: according to the ship fueling list, the manual measurement calculation is used for filling 24-hour equipment operation time and oil consumption statistics list, and the class society is used for carrying out accounting and calculating the annual fuel consumption and CO of the ship 2 Discharge amount; (2) mass flowmeter measurement calculation method: the same-precision mass flowmeter is installed on the oil inlet and return pipelines of the ship host, the generator and the boiler, the actual fuel consumption of each device is measured, and then the CO of the ship is calculated 2 Discharge amount; (3) Tail gas carbon content measurement calculation method installs tail gas CO on tail gas discharge pipelines of a main engine, a generator and a boiler of a ship 2 Concentration detection device of (2) according to the set equipment tail gas flow to calculate CO 2 Discharge amount.
Ship carbon emission monitoring prior art defects: the method comprises the following steps of (1) evidence accounting and manual measurement statistics: the authenticity of varieties and quantity of the ship 'fueling bill' and the actual fueling fuel cannot be effectively verified, the number of ship fuel tanks is numerous, the structure is complex, the actual fuel consumption can not be accurately measured and calculated manually in an offshore environment, and the carbon emission of the ship calculated by the method is greatly influenced by human factors, is inaccurate and has no public belief; (2) the mass flowmeter measurement calculation method has defects: the mass flowmeter can accurately measure and calculate the actual energy consumption and CO of the ship under stable environment and medium 2 The discharge capacity is monitored on line, the result of the actual ship utility test is a mass flowmeter, the mass flowmeter cannot adapt to the problems of unstable temperature and viscosity of ship fuel oil and high-frequency vibration existing in installation environment, the measurement data error is large, the fluctuation rate is high, and the ship energy consumption and CO cannot be realized 2 The discharge amount is accurately measured and monitored; and (3) measuring and calculating the carbon content of the tail gas: the method is transplanted from the carbon emission monitoring technology of the power plant of the land thermal power plant because of the working condition of the power equipment of the shipIs variable, and the technology is difficult to apply to the aspects of ship energy consumption and carbon emission monitoring.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide a ship energy consumption and carbon displacement monitoring system based on the internet of things, which is used for solving the problem of inaccurate measurement results caused by large measurement data errors in the prior art.
The invention provides a ship energy consumption and carbon emission monitoring system based on the Internet of things, which comprises the following components: the device comprises a sensor unit, a data processing unit and a big data processing unit; the sensor unit is respectively connected with the data processing unit and the big data processing unit and is used for detecting ship navigation data, ship equipment working condition data and ship fuel oil stock data; the data processing unit is connected with the big data processing unit and is used for processing the data of the fuel stock on the ship, storing the processed data of the fuel stock on the ship and transmitting the processed data to the big data processing unit; the big data processing unit is used for receiving the data of the fuel oil stock on the ship, the data of the ship sailing and the data of the working conditions of the ship equipment, which are processed by the data processing unit, and building the fuel oil consumption and the CO of the ship in different states and sea conditions and under different working conditions of the main electromechanical equipment by applying big data fitting and data twin technology 2 And outputting the calculation results of the energy consumption and the carbon discharge of the ship and an online monitoring data monitoring curve by using the emission mathematical model.
Compared with the prior art, the embodiment of the invention has the main differences and effects that: the sensor unit can detect the ship sailing data, the ship equipment working condition data and the ship fuel stock data, the data processing unit can process the ship fuel stock data, store and transmit the processed ship fuel stock data to the big data processing unit, and the big data processing unit is used for receiving the ship fuel stock data processed by the data processing unit, the ship sailing data and the ship equipment working condition data, and building the ship in different states and sea conditions by applying big data fitting and data twin technologyAnd fuel consumption and CO of main electromechanical equipment under different working conditions 2 The mathematical model of the emission quantity outputs the calculation results of the ship energy consumption and the carbon discharge and the on-line monitoring data monitoring curve, so that the ship energy consumption and the carbon discharge can be accurately measured and calculated, and the real-time, on-line, digital and visual monitoring and management of the ship energy consumption and the carbon discharge are realized.
In an embodiment of the invention, the sensor unit comprises a ship navigation instrument module, a ship equipment working condition detection module and a ship fuel tank monitoring module, wherein the ship navigation instrument module, the ship equipment working condition detection module and the ship fuel tank monitoring module are connected with the data processing module, the ship navigation instrument module is used for detecting the running position, the real-time navigational speed, the longitudinal and transverse inclination angle, the ship heading and the flow direction, the flow speed, the wind direction and the wind speed of water at each time, the ship equipment working condition detection module is used for monitoring the working condition of the main electromechanical fuel consumption equipment of the ship, and the ship fuel tank monitoring module is used for detecting the real-time liquid level values of fuel in the fuel settling tank and the daily tank.
In one embodiment of the invention, the marine vessel instrument module comprises: GPS, log, inclinometer, wind direction anemograph and radar, marine equipment operating mode detection module includes: the operating mode sensor of installing on boats and ships equipment, boats and ships fuel tank cabinet monitoring module includes: a liquid level sensor and a temperature sensor.
In an embodiment of the invention, the data processing unit includes a data acquisition module, a data processing module, a data storage module and a data transmission module, wherein the data acquisition module is respectively connected with the sensor unit, the data processing module and the big data processing unit, the data processing module is connected with the data storage module, the data storage module is connected with the data transmission module, the data transmission module is connected with the big data processing unit, the data acquisition module is used for acquiring data transmitted by the sensor unit, the data processing module is used for processing data of fuel stock on a ship, the storage module is used for storing the processed data of the fuel stock on the ship, and the data transmission module is used for transmitting the processed data of the fuel stock on the ship to the big data processing unit.
In an embodiment of the invention, the big data processing unit includes a shore-based server, the shore-based server is connected with the data processing unit, and the shore-based server is connected with the terminal display, the shore-based server is used for calculating the ship energy consumption and the carbon discharge, and also generating an on-line monitoring data monitoring curve, and the shore-based server is further used for transmitting the calculated ship energy consumption, the carbon discharge and the generated on-line monitoring data monitoring curve to the terminal display.
Drawings
Fig. 1 is a schematic diagram of a ship energy consumption and carbon displacement monitoring system based on the internet of things according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of a ship energy consumption and carbon emission monitoring system based on internet of things according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a ship energy consumption and carbon emission monitoring system based on the internet of things according to a third embodiment of the present invention;
fig. 4 is a schematic diagram of a ship energy consumption and carbon emission monitoring system based on internet of things according to a fourth embodiment of the present invention;
FIG. 5 is a graph of fuel consumption of the apparatus of the present invention at various loads;
FIG. 6 is a graph of fuel consumption for the same voyage at different trim conditions in accordance with the present invention;
FIG. 7 is a graph of carbon dioxide emissions at various loads for the apparatus of the present invention;
FIG. 8 is a graph of carbon dioxide emissions for the same voyage at different trim conditions in accordance with the present invention.
Description of the embodiments
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
A first embodiment of the present invention relates to a ship energy consumption and carbon emission monitoring system based on the internet of things, referring to fig. 1, including: the sensor unit is respectively connected with the data processing unit and the big data processing unit, the sensor unit is used for detecting ship sailing data, ship equipment working condition data and ship fuel stock data, the data processing unit is connected with the big data processing unit, the data processing unit is used for processing the ship fuel stock data and storing and transmitting the processed ship fuel stock data to the big data processing unit, the big data processing unit is used for receiving the ship fuel stock data processed by the data processing unit, the ship sailing data and the ship equipment working condition data, and a big data fitting and data twin technology is applied to establish that the ship is in different states and sea conditions and the fuel consumption and CO of main electromechanical equipment under different working conditions 2 And outputting the calculation results of the energy consumption and the carbon discharge of the ship and an on-line monitoring data monitoring curve by using the mathematical model of the discharge, wherein the specific on-line monitoring data monitoring curve is shown in fig. 5, 6, 7 and 8.
Compared with the prior art, the embodiment of the invention has the main differences and effects that: the sensor unit can detect the ship navigation data, the ship equipment working condition data and the ship fuel stock data, the data processing unit can process the ship fuel stock data, and the processed ship fuel stock data is stored and transmitted to a big data placeThe big data processing unit is used for receiving the data of the fuel oil stock on the ship, the data of the ship sailing and the data of the working conditions of the ship equipment, which are processed by the data processing unit, and establishing the fuel oil consumption and the CO of the ship in different states and sea conditions and under different working conditions of the main electromechanical equipment by applying big data fitting and data twin technology 2 The mathematical model of the emission quantity outputs the calculation results of the ship energy consumption and the carbon discharge quantity and an on-line monitoring data monitoring curve, so that the ship energy consumption and the carbon discharge quantity can be accurately measured and calculated, and the real-time, on-line, digital and visual monitoring and management of the ship energy consumption and the carbon discharge quantity are realized.
In practical application, the sensor unit detects the ship sailing data, the ship equipment working condition data and the ship on-board fuel stock data, the data processing unit acquires the detected ship sailing data, the ship equipment working condition data and the ship on-board fuel stock data, processes the ship on-board fuel stock data, stores and transmits the processed ship on-board fuel stock data to the big data processing unit, simultaneously transmits the detected ship sailing data and the ship equipment working condition data to the big data processing unit, and the big data processing unit receives the ship on-board fuel stock data, the ship sailing data and the ship equipment working condition data processed by the data processing unit, and establishes the fuel consumption and CO of the ship under different states and sea states and different working conditions of main electromechanical equipment by applying a big data fitting and data twinning technology 2 And outputting the calculation results of the energy consumption and the carbon discharge of the ship and an online monitoring data monitoring curve by using the emission mathematical model.
The second embodiment of the invention also relates to a ship energy consumption and carbon discharge monitoring system based on the internet of things, which is further improved on the basis of the first embodiment, as shown in fig. 2, and is mainly improved in that: the sensor unit is further limited in this embodiment, the sensor unit includes a ship navigation instrument module, a ship equipment operating condition detection module and a ship fuel tank monitoring module, the ship navigation instrument module, the ship equipment operating condition detection module and the ship fuel tank monitoring module are connected with the data processing module, the ship navigation instrument module is used for detecting the running position of the ship, real-time navigational speed, longitudinal and transverse inclination angle, ship heading and the flow direction, flow speed and wind direction of each time water, the ship equipment operating condition detection module is used for monitoring the operating condition of the main electromechanical fuel consumption equipment of the ship, the ship fuel tank monitoring module is used for detecting the real-time liquid level value of the fuel in the fuel settling tank and the daily tank, the ship navigation instrument module includes: GPS, log, inclinometer, wind direction anemograph and radar, boats and ships equipment operating mode detection module includes: the operating mode sensor of installing on boats and ships equipment, boats and ships fuel tank cabinet monitoring module includes: a liquid level sensor and a temperature sensor.
In practical application, the GPS, the log, the inclinometer, the wind direction anemometer and the radar are arranged on the ship, the main electromechanical oil consumption equipment of the ship is a host, a generator, a boiler and an inert gas generator, working condition sensors are arranged on the host, the generator, the boiler and the inert gas generator, the liquid level sensors and the temperature sensors are arranged in a fuel precipitation tank and a daily tank, each device in a ship navigation instrument module can detect the running position, the navigational speed, the longitudinal and transverse inclination angle and the flow direction, the flow speed, the wind direction and the wind speed of water at each time, each device in a ship equipment working condition detection module can detect the working condition of the main electromechanical oil consumption equipment of the ship, and the liquid level sensor in a ship fuel tank monitoring module can detect the real-time liquid level values of the fuel in the fuel precipitation tank and the daily tank and can calculate the real-time liquid level values in the fuel tank according to the frequency measurement of 60 times per second.
The third embodiment of the invention also relates to a ship energy consumption and carbon discharge monitoring system based on the internet of things, which is further improved on the basis of the first embodiment, as shown in fig. 3, and is mainly improved in that: the data processing unit is further limited, the data processing unit comprises a data acquisition module, a data processing module, a data storage module and a data transmission module, the data acquisition module is respectively connected with the sensor unit, the data processing module and the big data processing unit, the data processing module is connected with the data storage module, the data storage module is connected with the data transmission module, the data transmission module is connected with the big data processing unit, the data acquisition module is used for acquiring data transmitted by the sensor unit, the data processing module is used for processing data of fuel stock on a ship, the storage module is used for storing the processed data of the fuel stock on the ship, and the data transmission module is used for transmitting the processed data of the fuel stock on the ship to the big data processing unit.
In practical application, the data acquisition module acquires data of ship sailing, data of ship equipment working condition and data of fuel stock on the ship, then the acquired data of the fuel stock on the ship is transmitted to the data processing module, the data processing module calculates a liquid level average value at a frequency of 10800 times in 3 minutes, calculates the real-time stock of the cabins according to a table, and then measures, calculates and compares once in each minute, accurately calculates the fuel consumption and CO in unit time of main electromechanical fuel consumption equipment of the ship 2 The emission amount is then transmitted to a data storage module for storage, and the calculated fuel consumption amount and CO2 emission amount in the unit time of the main ship electricity consumption equipment are then transmitted to a data transmission module for storage 2 The discharge is transmitted to a big data processing unit.
The fourth embodiment of the present invention also relates to a ship energy consumption and carbon displacement monitoring system based on the internet of things, which is a further improvement based on the first embodiment, as shown in fig. 4, and the main improvement is that: the big data processing unit is further limited by the embodiment, the big data processing unit comprises a shore-based server, the shore-based server is connected with the data processing unit and connected with the terminal display, the shore-based server is used for calculating the energy consumption and the carbon discharge of the ship and generating an on-line monitoring data monitoring curve, and the shore-based server is further used for transmitting the calculated energy consumption, the carbon discharge of the ship and the generated on-line monitoring data monitoring curve to the terminal display.
In practice, the shore-based server receives processed data of the fuel inventory on the vessel, i.e. the data in the third embodimentThe processing module calculates the data of the fuel oil stock on the ship, the shore-based server receives the data of the ship sailing and the data of the working conditions of the ship equipment transmitted by the data acquisition module, and then the shore-based server applies big data fitting and data twin technology to establish the fuel oil consumption and CO of the main ship electromechanical oil-consuming equipment under different working conditions (different loads or shaft power) under different states and sea conditions (running position, real-time navigational speed, longitudinal and transverse angles, ship heading, flow direction, flow velocity, wind direction and wind speed) 2 The mathematical model of the emission quantity outputs the calculation results of the ship energy consumption and the carbon discharge and the on-line monitoring data monitoring curve, and the calculation results of the ship energy consumption and the carbon discharge and the on-line monitoring data monitoring curve can be displayed on a terminal display, so that the calculation results are convenient for workers to check.
In summary, the invention can detect the ship sailing data, the ship equipment working condition data and the ship fuel stock data through the sensor unit, the data processing unit can process the ship fuel stock data and store and transmit the processed ship fuel stock data to the big data processing unit, the big data processing unit is used for receiving the ship fuel stock data, the ship sailing data and the ship equipment working condition data processed by the data processing unit, and the big data fitting and data twin technology is applied to establish the fuel consumption and CO of the ship in different states and sea conditions and under different working conditions of main electromechanical equipment 2 The mathematical model of the emission quantity outputs the calculation results of the ship energy consumption and the carbon discharge and the on-line monitoring data monitoring curve, so that the ship energy consumption and the carbon discharge can be accurately measured and calculated, and the real-time, on-line, digital and visual monitoring and management of the ship energy consumption and the carbon discharge are realized. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (4)
1. Ship energy consumption and carbon discharge monitoring system based on Internet of things, which is characterized by comprising: the device comprises a sensor unit, a data processing unit and a big data processing unit;
the sensor unit is respectively connected with the data processing unit and the big data processing unit and is used for detecting ship navigation data, ship equipment working condition data and ship fuel oil stock data;
the data processing unit is connected with the big data processing unit and is used for processing the data of the fuel stock on the ship, storing the processed data of the fuel stock on the ship and transmitting the processed data to the big data processing unit;
the big data processing unit is used for receiving the data of the fuel oil stock on the ship, the data of the ship sailing and the data of the working conditions of the ship equipment, which are processed by the data processing unit, and building the fuel oil consumption and the CO of the ship in different states and sea conditions and under different working conditions of the main electromechanical equipment by applying big data fitting and data twin technology 2 The mathematical model of the emission quantity outputs the calculation results of fuel consumption and carbon dioxide discharge and an on-line monitoring data monitoring curve;
the sensor unit comprises a ship navigation instrument module, a ship equipment working condition detection module and a ship fuel tank monitoring module, and the ship navigation instrument module, the ship equipment working condition detection module and the ship fuel tank monitoring module are connected with the data processing module;
the ship navigation instrument module is used for detecting the running position, real-time navigational speed, longitudinal and transverse inclination angles, ship heading and the flow direction, flow speed, wind direction and wind speed of water at each time, the ship equipment working condition detection module is used for monitoring the working condition of the main electromechanical oil consumption equipment of the ship, and the ship fuel tank monitoring module is used for detecting the real-time liquid level values of fuel in the ship fuel precipitation tank and the daily-use tank.
2. The ship energy consumption and carbon displacement monitoring system based on the internet of things according to claim 1, wherein: the marine vessel navigation instrument module includes: GPS, log, inclinometer, wind direction anemograph and radar, marine equipment operating mode detection module includes: the operating mode sensor of installing on boats and ships equipment, boats and ships fuel tank cabinet monitoring module includes: a liquid level sensor and a temperature sensor.
3. The ship energy consumption and carbon displacement monitoring system based on the internet of things according to claim 1, wherein:
the data processing unit comprises a data acquisition module, a data processing module, a data storage module and a data transmission module, wherein the data acquisition module is respectively connected with the sensor unit, the data processing module and the big data processing unit, the data processing module is connected with the data storage module, the data storage module is connected with the data transmission module, and the data transmission module is connected with the big data processing unit;
the data acquisition module is used for acquiring data transmitted by the sensor unit, the data processing module is used for processing the data of the fuel stock on the ship, the storage module is used for storing the processed data of the fuel stock on the ship, and the data transmission module is used for transmitting the processed data of the fuel stock on the ship to the big data processing unit.
4. The ship energy consumption and carbon displacement monitoring system based on the internet of things according to claim 1, wherein: the big data processing unit comprises a shore-based server, the shore-based server is connected with the data processing unit and is connected with the terminal display, the shore-based server is used for calculating ship energy consumption and carbon discharge and generating an on-line monitoring data monitoring curve, and the shore-based server is further used for transmitting the calculated ship energy consumption, carbon discharge and the generated on-line monitoring data monitoring curve to the terminal display.
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| CN115277743A (en) | 2022-11-01 |
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