Ship oil consumption whole-process online monitoring system and method

Abstract

The invention relates to the technical field of flow measurement, and discloses a ship fuel consumption whole-process online monitoring system and method.The system comprises a data acquisition module, a data regulation module, a temperature compensation module, a fuel consumption abnormity monitoring module, an energy efficiency evaluation analysis module and a data communication reporting module, and fuel flow and temperature data of a ship are acquired in real time; and a standardized data set is obtained after data normalization. According to the real-time fuel oil temperature, temperature-density coupling compensation is carried out on the volume flow, the volume error caused by thermal expansion and cold contraction is eliminated, and therefore the net fuel oil consumption is calculated. The consumption is compared with a preset fuel consumption threshold value in real time, and if the consumption continuously exceeds the threshold value, a fuel consumption abnormity identifier is generated. Afterwards, energy efficiency grade evaluation is carried out on the fuel oil use efficiency in combination with the real-time navigation state of the ship to obtain an energy efficiency analysis result, and the energy efficiency analysis result is transmitted to a remote monitoring platform through a ship communication channel; according to the invention, the accuracy of ship fuel consumption whole-process online monitoring can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of flow measurement, in particular to a ship oil consumption whole-process online monitoring system and method. BACKGROUND

[0002] In the prior art, in the ship oil consumption whole-process online monitoring, the collection of fuel flow and temperature data lacks synchronization and collaborative fusion processing, only single data acquisition is performed without establishing the correlation mapping of the two, resulting in the breaking of the space-time correlation between the data, and without targeted filtering and noise reduction of the flow data and dimension normalization of the temperature data, the original data is mixed with noise interference and dimension difference, cannot form a standardized data set, and the precision of the basic data provided for the subsequent oil consumption calculation is insufficient, which is difficult to support accurate oil consumption monitoring.

[0003] At the same time, the prior art does not consider the influence of temperature change on fuel volume, lacks a scientific temperature-density coupling compensation mechanism, and only calculates oil consumption directly according to volume flow, which cannot eliminate the volume error caused by thermal expansion and contraction, resulting in a large deviation in the calculation of net fuel consumption; and in the oil consumption anomaly judgment, only the single oil consumption data is simply compared with the threshold, and the persistence of the anomaly is not judged by calculating the cumulative deviation amount of the time series data, which is easy to misjudge or miss the abnormal situation, in addition, the real-time sailing state of the ship is not combined for energy efficiency level evaluation, which cannot provide effective guidance for oil consumption optimization, and the integrity and practicability of the overall monitoring process are insufficient. SUMMARY

[0004] The present application provides a ship oil consumption whole-process online monitoring system and method to solve the problems raised in the background art.

[0005] To achieve the above purpose, the present application provides a ship oil consumption whole-process online monitoring system, characterized in that the system comprises an information extraction module, a commodity verification module, a verification failure module, a verification success module, a commodity settlement module and a settlement success module, wherein: The data acquisition module is used for real-time acquisition of fuel flow data and fuel temperature data of the ship; The data regularization module is used for data regularization of the fuel flow data and the fuel temperature data to obtain standardized flow data set and temperature data set; The temperature compensation module is used for temperature-density coupling compensation of the volume flow data in the flow data set based on the real-time fuel temperature value in the temperature data set, and eliminating the fuel volume expansion and contraction error caused by temperature change to obtain the net fuel consumption of the ship; The oil consumption anomaly monitoring module is configured to compare the net fuel consumption with a preset oil consumption threshold in real time, and generate an oil consumption anomaly identifier of the ship if the net fuel consumption continuously exceeds the preset oil consumption threshold. The energy efficiency evaluation analysis module is configured to evaluate the energy efficiency level of fuel use in combination with the net fuel consumption and the real-time sailing state of the ship in response to the oil consumption anomaly identifier, and obtain an energy efficiency analysis result of the ship. The data communication reporting module is configured to transmit the energy efficiency analysis result to a remote monitoring platform through a ship communication unit.

[0006] In a preferred embodiment, when the data acquisition module performs real-time acquisition of the fuel flow data and the fuel temperature data of the ship, it is specifically configured to: synchronously acquire the volume flow data and the temperature data of the fuel; cooperatively fuse the volume flow data and the temperature data to obtain the fuel flow data and the fuel temperature data of the ship.

[0007] In a preferred embodiment, when the data normalization module performs data normalization on the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a temperature data set, it is specifically configured to: perform filtering and noise reduction processing on the fuel flow data to obtain clean flow data of the ship; perform dimensionless normalization processing on the fuel temperature data to obtain standardized temperature data of the ship; time-align the clean flow data and the standardized temperature data according to a time sequence to obtain a standardized flow data set and a temperature data set.

[0008] In a preferred embodiment, when the temperature compensation module performs temperature-density coupling compensation on the volume flow data in the flow data set based on the real-time fuel temperature value in the temperature data set, and eliminates the fuel volume expansion and contraction errors caused by temperature changes to obtain the net fuel consumption of the ship, it is specifically configured to: extract the real-time fuel temperature value and the corresponding volume flow data in the temperature data set; perform outlier filtering on the real-time fuel temperature value to obtain preprocessed temperature data of the ship; extract the mapping relationship between the fuel density and the fuel temperature in the ship; calculate the real-time fuel density value of the ship based on the mapping relationship between the fuel density and the fuel temperature and the preprocessed temperature data; Density compensation is performed on the volumetric flow rate data based on the real-time fuel density value to obtain the mass flow rate data of the ship. The net fuel consumption of the ship is obtained by integrating the mass flow rate data in the time domain.

[0009] In a preferred embodiment, the formula for calculating the real-time fuel density value is as follows:

[0010] In the formula, The temperature is Real-time fuel density at that time The temperature is Standard fuel density at that time This is the basic thermal expansion coefficient of fuel. This is the flow correction factor for fuel components. The real-time temperature value in the preprocessed temperature data. For standard reference temperature, is the base of the natural logarithm.

[0011] In a preferred embodiment, when the temperature compensation module performs density compensation on the volumetric flow rate data based on the real-time fuel density value to obtain the ship's mass flow rate data, it is specifically used for: The real-time fuel density value and the volumetric flow rate data are subjected to density compensation processing to obtain the intermediate mass flow rate data of the ship. Obtain the standard fuel density and corresponding flow correction factor of the ship under stable operating conditions; Based on the standard fuel density and the flow correction factor, the intermediate mass flow rate data is corrected to obtain the ship's mass flow rate data.

[0012] In a preferred embodiment, when the fuel consumption anomaly monitoring module performs a real-time comparison of the net fuel consumption with a preset fuel consumption threshold, and generates a fuel consumption anomaly identifier for the vessel if the net fuel consumption continuously exceeds the preset fuel consumption threshold, it is specifically used for: Obtain time-series measurement data of the net fuel consumption within a preset time period; Based on the time-series measurement data, the cumulative deviation between the net fuel consumption and the preset fuel consumption threshold is calculated, wherein the formula for calculating the cumulative deviation is as follows:

[0013] In the formula, The cumulative deviation is... This represents the total number of measurements. For the first a net fuel consumption quantity of a second measurement, a preset fuel consumption threshold value; an oil consumption anomaly identifier of the ship is generated when the accumulated deviation amount exceeds a preset deviation threshold value.

[0014] In a preferred embodiment, when the energy efficiency evaluation analysis module performs energy efficiency level evaluation of fuel use efficiency in response to the oil consumption anomaly identifier, in combination with the net fuel consumption quantity and the real-time sailing state of the ship, to obtain the energy efficiency analysis result of the ship, it is specifically used for: when the oil consumption anomaly identifier appears, obtaining the net fuel consumption quantity and the real-time sailing state of the ship in the current time interval; corresponding association between the net fuel consumption quantity and the speed information in the real-time sailing state of the ship is performed to obtain an energy efficiency evaluation data set of the ship; the energy efficiency evaluation data set is matched with a predefined energy efficiency level interval to obtain an energy efficiency level of the ship; an energy efficiency analysis result containing an energy efficiency level identifier and an energy efficiency improvement suggestion is generated according to the energy efficiency level.

[0015] In a preferred embodiment, when the data communication reporting module transmits the energy efficiency analysis result to the remote monitoring platform through the ship communication channel, it is specifically used for: the energy efficiency analysis result and the maintenance decision suggestion are data-encapsulated to obtain a standardized transmission data packet of the ship; the standardized transmission data packet is sent to the remote monitoring platform through the ship communication channel.

[0016] To solve the above problems, the present application also provides a ship oil consumption whole-process online monitoring method, which comprises: S1. Real-time collection of fuel flow data and fuel temperature data of a ship; S2. Data regularization of the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a temperature data set; S3. Temperature-density coupling compensation of volume flow data in the flow data set based on real-time fuel temperature values in the temperature data set, and elimination of fuel volume expansion and contraction errors caused by temperature changes to obtain a net fuel consumption quantity of the ship; S4. Real-time comparison of the net fuel consumption quantity with a preset fuel consumption threshold value, and generation of an oil consumption anomaly identifier of the ship if the net fuel consumption quantity continuously exceeds the preset fuel consumption threshold value; S5. In response to the oil consumption anomaly identifier, an energy efficiency level assessment is performed on the fuel use efficiency in combination with the net fuel consumption and the real-time sailing state of the ship, to obtain an energy efficiency analysis result of the ship; S6. The energy efficiency analysis result is transmitted to a remote monitoring platform through a ship communication unit.

[0017] Compared with the prior art, the present application has the following beneficial effects: 1. The present application synchronously collects the ship fuel flow and temperature data in real time, realizes data regularization through filtering and denoising, dimension normalization and time alignment, and then performs temperature-density coupling compensation based on the real-time fuel temperature, to accurately eliminate the volume error caused by temperature and effectively improve the accuracy of net fuel consumption calculation, thereby providing reliable core data support for oil consumption monitoring.

[0018] 2. The present application generates an anomaly identifier by comparing the net fuel consumption with a preset threshold in real time, performs energy efficiency level assessment in combination with the real-time sailing state of the ship, generates an analysis result containing improvement suggestions and transmits it to a remote platform, which not only can identify oil consumption anomalies in time, but also can provide a clear direction for fuel efficiency optimization, thereby significantly improving the comprehensiveness and practicality of ship oil consumption monitoring and ensuring the efficiency of oil consumption management. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 The system architecture diagram of the ship oil consumption whole-process online monitoring system provided by an embodiment of the present application is shown in the figure. Figure 2 The flowchart of the ship oil consumption whole-process online monitoring method provided by an embodiment of the present application is shown in the figure.

[0020] The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0021] To make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments belong to some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0022] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "the" and "this" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. "Multiple" generally includes at least two.

[0023] Depending on the context, the word "if" or "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0024] Furthermore, the timing of the steps in the following method embodiments is merely an example and not a strict limitation.

[0025] In practice, the server-side equipment deployed in a ship fuel consumption online monitoring system may consist of one or more devices. This system can be implemented as a business instance, a virtual machine, or hardware devices. For example, it can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, it can be understood as software deployed on a cloud node to provide online monitoring of ship fuel consumption to various users. Alternatively, it can be implemented as a virtual machine deployed on one or more devices in a cloud node, with application software installed to manage various users. Or, it can also be implemented as a server composed of numerous identical or different types of hardware devices, with one or more devices configured to provide online monitoring of ship fuel consumption to various users.

[0026] In terms of implementation, the online monitoring system for the entire process of ship fuel consumption and the user terminal are mutually compatible. That is, if the online monitoring system for the entire process of ship fuel consumption is implemented as an application installed on a cloud service platform, then the user terminal is implemented as a client that establishes a communication connection with the application; or if the online monitoring system for the entire process of ship fuel consumption is implemented as a website, then the user terminal is implemented as a webpage; or if the online monitoring system for the entire process of ship fuel consumption is implemented as a cloud service platform, then the user terminal is implemented as a mini-program in an instant messaging application.

[0027] like Figure 1 The figure shown is a system architecture diagram of a ship fuel consumption online monitoring system provided in an embodiment of the present invention.

[0028] The ship fuel consumption online monitoring system 100 of this invention can be installed on a cloud server. In terms of implementation, it can be used as one or more service devices, or as an application installed on the cloud (e.g., a mobile service operator's server, server cluster, etc.), or it can be developed as a website. Depending on the functions implemented, the ship fuel consumption online monitoring system 100 may include a data acquisition module 101, a data normalization module 102, a temperature compensation module 103, a fuel consumption anomaly monitoring module 104, an energy efficiency assessment and analysis module 105, and a data communication and reporting module 106. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device's processor and perform a fixed function, stored in the electronic device's memory.

[0029] In this embodiment of the invention, each of the above-mentioned modules in the ship fuel consumption online monitoring system can be implemented independently and can call other modules. Here, "calling" can be understood as one module connecting to multiple modules of another type and providing corresponding services to those connected modules. In the ship fuel consumption online monitoring system provided by this embodiment of the invention, the applicability of the system architecture can be adjusted by adding modules and directly calling them without modifying the program code, achieving cluster-based horizontal expansion to quickly and flexibly expand the ship fuel consumption online monitoring system. In practical applications, the above-mentioned modules can be set in the same device or different devices, or they can be set in virtual devices, such as service instances in a cloud server.

[0030] The following describes the components and specific workflow of the ship fuel consumption online monitoring system in detail, using specific embodiments as examples: The data acquisition module 101 is used to collect real-time data on the ship's fuel flow rate and fuel temperature. In this embodiment of the invention, when the data acquisition module performs real-time acquisition of ship fuel flow data and fuel temperature data, it is specifically used for: Simultaneously collect fuel volumetric flow rate data and temperature data; The volumetric flow rate data and the temperature data are fused together to obtain the ship's fuel flow rate data and fuel temperature data.

[0031] Specifically, the data acquisition module is equipped with two sets of synchronous acquisition devices, namely a volumetric flow sensor and a temperature sensor. These two sensors are installed at the same monitoring section of the ship's fuel transmission pipeline to ensure that the fuel data collected is from the same time and location.

[0032] Further, after the collection is started, the volume flow sensor captures the flow speed of the fuel in the pipeline and the cross-sectional area information of the pipeline in real time, and converts the two information into the volume value of the fuel passing through the cross section per unit time, i.e. the volume flow data, through the internal integrated calculation unit, and the temperature sensor detects the temperature value of the fuel in real time through contact sensing, i.e. the temperature data.

[0033] Further, the two sets of sensors are controlled through an internal synchronous clock module to ensure that each collection operation is completely synchronized in time, and the volume flow data and the temperature data of the fuel are collected synchronously.

[0034] Further, a cooperative fusion processing unit is built in the data collection module, which first receives the volume flow data and the temperature data collected synchronously, and aligns the time stamps of the two types of data to ensure that each set of volume flow data can correspond to the temperature data at the same collection time.

[0035] Further, then, the cooperative fusion processing unit checks the correlation of the aligned data to confirm that the collection period of the volume flow data is completely consistent with the collection period of the temperature data, and that there is no interruption or abnormal value in the data collection process.

[0036] Further, after the verification, the processing unit labels the volume flow data as "ship fuel flow data" and the temperature data as "ship fuel temperature data", and combines the two types of data into a complete data record containing the collection time, fuel flow data and fuel temperature data according to the preset data format, completes the cooperative fusion processing, and finally obtains the fuel flow data and the fuel temperature data of the ship.

[0037] In general, synchronous collection of fuel volume flow and temperature data can ensure that the two types of data are consistent in time and space, avoid correlation rupture, provide accurate basic data for subsequent temperature compensation, and prevent oil consumption calculation deviation.

[0038] In general, the volume flow and temperature data are cooperatively fused, the time stamp is aligned, the correlation is checked, the abnormality is investigated, a complete information containing record is formed, the ship fuel flow and temperature data are clear, and high-quality initial data is provided for subsequent links to ensure monitoring accuracy.

[0039] The data normalization module 102 is configured to perform data normalization on the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a standardized temperature data set. In the embodiment of the present application, when the data normalization module performs data normalization on the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a standardized temperature data set, it is specifically configured to: perform filtering and noise reduction processing on the fuel flow data to obtain clean flow data of the ship. The fuel temperature data is dimensionally normalized to obtain standardized temperature data of the ship; The clean flow data and the standardized temperature data are time-aligned according to a time sequence to obtain a standardized flow data set and a standardized temperature data set.

[0040] Specifically, the data regularization module is provided with a fixed sliding window filtering tool with a fixed length window, and the window length is pre-set according to the collection frequency of the ship fuel flow data, so as to ensure that a plurality of adjacent continuous flow data points can be covered.

[0041] Further, when filtering and denoising the fuel flow data, the fuel flow data is sequentially input into the sliding window filtering tool according to the collection time sequence, the tool selects all data points in the window to calculate the average value with the current data point as the center, and replaces the original value of the current data point with the average value, and the operation is performed on all fuel flow data points by point to remove abnormal peaks or troughs in the data caused by sensor fluctuations, and finally the clean flow data of the ship is obtained by eliminating noise interference.

[0042] Further, the data regularization module stores a standard dimension range of the ship fuel temperature, which is pre-set according to the design standard and industry specification of the ship fuel system; when dimensionally normalizing the fuel temperature data, the original value of each fuel temperature data is extracted, and the original value is compared with the upper limit value of the standard dimension range.

[0043] Further, if the original value exceeds the upper limit, it is adjusted to the upper limit value, if it is lower than the lower limit, it is adjusted to the lower limit value, and if it is within the range, the original value remains unchanged, and then the adjusted value is converted to a value within a specific interval according to a fixed logic, the dimension is unified, and finally the standardized temperature data of the ship is obtained.

[0044] Further, the data regularization module is provided with a time sequence alignment tool, which extracts the collection time stamps of the clean flow data and the standardized temperature data respectively, and the collection time stamps are completely synchronized with the system clock at the time of data collection.

[0045] Further, the time stamps of the two types of data are matched one by one according to the time sequence, the clean flow data and the standardized temperature data with the same time stamp or the difference within the pre-set allowed range are found, each group of matched data is marked as a record of the same time node, and the data without matching items is directly removed.

[0046] Further, finally, all the matched clean flow data are arranged in order according to the time sequence to form an ordered set, which is the standardized flow data set, and the corresponding standardized temperature data are arranged in order according to the same time sequence to form an ordered set, which is the standardized temperature data set.

[0047] In summary, filtering and denoising fuel flow data to obtain clean flow data can eliminate sensor fluctuation interference, ensure the accuracy of flow data, and lay the foundation for subsequent calculations.

[0048] In summary, standardizing temperature data by normalizing the dimensions of fuel temperature data can unify dimensional differences, avoid comparison bias, and ensure that temperature data can be used for collaborative analysis.

[0049] In summary, by aligning clean flow rate and standardized temperature data according to time series, establishing accurate time series correlations, eliminating invalid data, and forming a standardized dataset, we can provide time-consistent data support for temperature compensation and avoid monitoring bias.

[0050] The temperature compensation module 103 is used to perform temperature-density coupling compensation on the volumetric flow rate data in the flow rate dataset based on the real-time fuel temperature value in the temperature dataset, and to eliminate the fuel volume expansion and contraction error caused by temperature changes, so as to obtain the net fuel consumption of the ship. In this embodiment of the invention, when the temperature compensation module performs temperature-density coupling compensation on the volumetric flow rate data in the flow rate dataset based on the real-time fuel temperature value in the temperature dataset, and eliminates the fuel volume expansion and contraction errors caused by temperature changes to obtain the ship's net fuel consumption, it is specifically used for: Extract the real-time fuel temperature value and the corresponding volumetric flow rate data from the temperature dataset; The real-time fuel temperature value is filtered for outliers to obtain the pre-processed temperature data of the ship. Extract the mapping relationship between fuel density and fuel temperature in the ship; Based on the mapping relationship between fuel density and fuel temperature and the preprocessed temperature data, the real-time fuel density value of the ship is calculated. Density compensation is performed on the volumetric flow rate data based on the real-time fuel density value to obtain the mass flow rate data of the ship. The net fuel consumption of the ship is obtained by integrating the mass flow rate data in the time domain.

[0051] The formula for calculating the real-time fuel density value is as follows:

[0052] In the formula, The temperature is Real-time fuel density at that time The temperature is Standard fuel density at that time This is the basic thermal expansion coefficient of fuel. a flow correction factor for the fuel component, a real-time temperature value in the pretreatment temperature data, a standard reference temperature, a base of a natural logarithm.

[0053] The temperature compensation module, when performing density compensation on the volume flow data based on the real-time fuel density value to obtain the mass flow data of the ship, is specifically used for: density compensation processing of the real-time fuel density value and the volume flow data to obtain intermediate mass flow data of the ship; obtaining a standard fuel density and a corresponding flow correction factor of the ship under a stable working condition; based on the standard fuel density and the flow correction factor, correcting the intermediate mass flow data to obtain the mass flow data of the ship.

[0054] Specifically, the temperature compensation module will first call the temperature data set and the flow data set that have completed time alignment. Since the two data sets are one-to-one corresponding according to the collection time nodes, the module will traverse the two data sets one by one in time sequence, and extract the real-time fuel temperature value of each time node from the temperature data set.

[0055] Further, the volume flow data corresponding to the time node is extracted from the flow data set at the same time, and each set of real-time fuel temperature value and corresponding volume flow data is associated and stored to form a temporary data group containing time identifier, real-time fuel temperature value and corresponding volume flow data, completing the extraction of real-time fuel temperature value and corresponding volume flow data.

[0056] Further, the temperature compensation module has pre-stored a normal working temperature range of the ship fuel, which is determined according to the physical characteristics of the fuel used by the ship, the design standard of the fuel system and the actual operation experience, to ensure that all temperature values that may occur under the normal navigation state of the fuel on the ship are covered.

[0057] Further, when filtering the real-time fuel temperature value, the module will check each real-time fuel temperature value one by one to determine whether it is within the preset normal working temperature range. If a real-time fuel temperature value is outside the range, it is determined as an abnormal value.

[0058] Further, the module will select two adjacent normal real-time fuel temperature values before and after the abnormal value at this time, calculate the average value of the two normal temperature values, and replace the abnormal value with the average value. If the abnormal value is at the beginning or end of the data, replace it with an adjacent normal temperature value. After the identification and replacement of all abnormal values, the obtained temperature data is the pretreatment temperature data of the ship.

[0059] Further, the fuel density-temperature mapping relationship of the ship is determined in advance through experiments and stored in a special database of the temperature compensation module. During the experiment, the density values of the specific fuel type used by the ship are measured under different temperature conditions, and the measured temperature values and density values are recorded one by one to form a complete fuel density-temperature mapping relationship table. The table is stored in categories according to the fuel type.

[0060] Further, when extracting the mapping relationship, the temperature compensation module first acquires the fuel type information currently used by the ship, and then retrieves the corresponding fuel density-temperature mapping relationship table in the special database according to the fuel type, so as to obtain the mapping relationship between the fuel density and the fuel temperature in the ship.

[0061] Further, the temperature compensation module compares each temperature value in the preprocessed temperature data with the extracted fuel density-temperature mapping relationship table one by one. If a preprocessed temperature value has a completely matched temperature record in the mapping relationship table, the density value corresponding to the temperature record is directly retrieved as the real-time fuel density value corresponding to the preprocessed temperature value.

[0062] Further, if a preprocessed temperature value does not have a completely matched temperature record in the mapping relationship table, but is between two adjacent temperature records, the density values corresponding to the two adjacent temperature records are selected. Based on the distance between the preprocessed temperature value and the two adjacent temperature values, the intermediate value between the two density values is taken as the real-time fuel density value corresponding to the preprocessed temperature value.

[0063] Further, by the above-mentioned way, a unique real-time fuel density value is matched to each preprocessed temperature data, and the calculation of the real-time fuel density value of the ship is completed.

[0064] Further, the temperature compensation module associates the volume flow data with the corresponding real-time fuel density value, so that each volume flow data can find a real-time fuel density value belonging to the same time node.

[0065] Further, for each set of associated data, the module multiplies the volume flow data by the corresponding real-time fuel density value. This calculation process is based on the physical principle of "mass = volume x density", and through multiplication operation, the volume of fuel in unit time is converted into the mass of fuel in unit time, and the result obtained is the mass flow of the ship fuel in unit time.

[0066] Further, after all the group data completes the above multiplication operation, a series of mass flow results are obtained, which are the mass flow data of the ship.

[0067] Further, the temperature compensation module first determines the collection time interval of the mass flow data, which is consistent with the system setting at the time of data collection. The module divides the mass flow data into consecutive time periods in the order of collection time, and the length of each time period is equal to the collection time interval.

[0068] Further, for each time period, the module multiplies the mass flow data corresponding to the time period by the length of the time period to obtain the mass of fuel consumed by the ship in the time period.

[0069] Further, subsequently, the module accumulates the calculated fuel mass in all time periods, and the result of the accumulation is the total mass of fuel actually consumed by the ship from the start of data collection to the current time, which is the net fuel consumption of the ship.

[0070] Specifically, the standard fuel density at a temperature of is the reference density data obtained through laboratory determination according to the type of fuel used by the ship, representing the inherent density value of the type of fuel at the standard reference temperature.

[0071] Further, the basic thermal expansion coefficient of the fuel is a physical characteristic parameter of the fuel itself, determined by the thermal expansion characteristics of the components in the fuel.

[0072] Further, the flow correction factor of the fuel component is a correction factor determined according to the proportion of different chemical components in the fuel. By analyzing the components of the fuel used by the ship, identifying the key components that affect the density temperature characteristics, and combining the influence of each component on the density when the temperature changes, the specific value of the factor is determined after experimental calibration, which is used to compensate for the subtle influence of different components on density calculation.

[0073] Further, the real-time temperature value in the preprocessed temperature data comes from the preprocessed temperature data after the temperature compensation module filters out the outliers from the original temperature data. This data is obtained by real-time collection and preprocessing of the fuel temperature sensor of the ship, and can reflect the actual temperature state of the fuel at the current time.

[0074] Further, the standard reference temperature is a reference temperature value specified by the industry for unified fuel density measurement. This temperature value is clearly defined by the ship industry standard or international fuel measurement specification, and is the reference point for fuel density measurement and calculation, ensuring the comparability of density data at different temperatures.

[0075] Further, the base of the natural logarithm is a fixed constant in the field of mathematics, and its value is fixed and unchanging. It is widely used in mathematical calculations involving exponential change laws, and is used in this formula to describe the exponential relationship between fuel density and temperature.

[0076] Further, the formula has the meaning that by considering the influence of temperature change on fuel density, combining the thermal expansion characteristics and component characteristics of the fuel, the fuel density at the standard reference temperature is corrected to the actual fuel density at the current real-time temperature, so as to accurately reflect the real state of the fuel density under different temperature conditions, and provide accurate density basis for the subsequent conversion of volume flow to mass flow.

[0077] Further, when the real-time temperature is higher than the standard reference temperature, the fuel density decreases due to thermal expansion, the exponential term corresponding to the basic thermal expansion coefficient in the formula will make the calculation result decrease, and the quadratic term corresponding to the fuel component flow correction factor will make a slight adjustment to the decreasing amplitude according to the component characteristics, but overall the real-time fuel density will decrease with the increase of temperature; when the real-time temperature is lower than the standard reference temperature, the fuel density increases due to shrinkage, the exponential term corresponding to the basic thermal expansion coefficient will make the calculation result increase, and the quadratic term also makes a slight adjustment, and overall the real-time fuel density will increase with the decrease of temperature.

[0078] Specifically, the temperature compensation module will first associate the real-time fuel density value with the volume flow data one by one according to the collection time node, to ensure that each volume flow data can correspond to the real-time fuel density value at the same time, and then perform multiplication operation on each set of associated data, that is, multiply the numerical value of the volume flow data by the numerical value of the corresponding real-time fuel density value.

[0079] Further, by this way, the volume of fuel in unit time is converted into the preliminary mass of fuel in unit time, and the result obtained is the intermediate mass flow data of the ship.

[0080] Further, the stable working condition of the ship refers to the running state of the ship in uniform speed navigation, stable engine output power, and fuel system pressure and temperature fluctuation within the preset range, and the standard fuel density and the corresponding flow correction factor measured in this state are pre-stored in the special database of the temperature compensation module.

[0081] Further, the standard fuel density is the reference density value of the fuel under this working condition, and the flow correction factor is a fixed coefficient for offsetting the measurement deviation of the flowmeter, and the temperature compensation module directly calls the corresponding standard fuel density and flow correction factor from the special database by reading the navigation parameters and engine running parameters of the ship to confirm that it is currently in a stable working condition.

[0082] Further, the temperature compensation module matches the intermediate mass flow data with the obtained flow correction factor, and performs multiplication operation on the numerical value of each intermediate mass flow data with the numerical value of the flow correction factor.

[0083] Further, by this calculation, the measurement error of the flowmeter caused by mechanical wear, installation deviation and other factors is eliminated, and the calculation result is checked with reference to the standard fuel density, so as to ensure that the corrected result meets the fuel mass flow characteristics under stable working conditions, and the finally obtained corrected flow data is the mass flow data of the ship.

[0084] In summary, the real-time fuel temperature value in the temperature data set and the corresponding volume flow data are extracted, the accurate correlation between the two types of data is established, the basis data for subsequent temperature-density coupling compensation is provided, and the compensation deviation caused by data misplacement is avoided.

[0085] In summary, the real-time fuel temperature value is filtered for abnormal values to obtain preprocessed temperature data, which can eliminate invalid values in the temperature data caused by sensor abnormalities and the like, ensure that the temperature data used for density calculation is real and reliable, and eliminate the interference of abnormal temperature on the subsequent process.

[0086] In summary, the mapping relationship between the fuel density and the temperature of the ship is extracted, which can provide a basis for the real-time fuel density calculation that meets the characteristics of the fuel used by the ship, ensure that the density calculation conforms to the actual physical properties of the fuel, and avoid errors caused by general density data.

[0087] In summary, the real-time fuel density value is calculated based on the mapping relationship and the preprocessed temperature data, which can accurately reflect the actual density of the fuel at the current temperature, provide accurate parameters for the conversion of volume flow to mass flow, and ensure the scientific nature of the compensation calculation.

[0088] In summary, the density compensation of the volume flow data is performed based on the real-time fuel density value to obtain the mass flow data, which can effectively eliminate the error caused by the volume expansion or contraction of the fuel due to temperature changes, and convert the volume flow to mass flow that is more consistent with the actual consumption.

[0089] In summary, the net fuel consumption is obtained by time-domain integration of the mass flow data, which can accurately accumulate the fuel consumption in different time periods, and finally obtain the real and accurate net fuel consumption of the ship, provide reliable core data for subsequent oil consumption anomaly monitoring and energy efficiency evaluation, and solve the problem of large oil consumption calculation deviation in the prior art.

[0090] In summary, the real-time fuel density value calculation formula can accurately quantify the influence of temperature on the fuel density of the ship, provide a scientific calculation basis for temperature-density coupling compensation, and effectively improve the calculation accuracy of the net fuel consumption.

[0091] In summary, the basic thermal expansion coefficient of the fuel is introduced in the formula, which can accurately reflect the thermal expansion and contraction characteristics of the fuel caused by temperature changes, avoid ignoring the influence of temperature on density when only using fixed density calculation, and reduce the calculation deviation of the fuel density caused by thermal expansion and contraction.

[0092] In general, the flow correction factor of the fuel component is incorporated , which can be adjusted according to the specific component differences of the fuel used by the ship, and is suitable for the difference in the temperature sensitivity of different fuel components, so that the calculation result is more in line with the actual physical properties of the fuel, and the problem that the general calculation cannot adapt to different fuel types is avoided.

[0093] In general, the real-time temperature value in the preprocessed temperature data and the difference from the standard reference temperature are used as core variables, and the base number of the natural logarithm is used to construct an exponential relationship, which can accurately describe the nonlinear law of the change of fuel density with temperature, and is more in line with the actual density change trend than linear calculation, thereby improving the calculation accuracy of the real-time fuel density value.

[0094] In general, the standard fuel density is used as a reference to ensure that the calculation is always based on the standard density reference set by the industry or the ship, so that the real-time fuel density value at different temperatures has a unified reference basis, facilitating subsequent volume flow compensation calculation based on density, and laying a foundation for obtaining accurate net fuel consumption.

[0095] In general, the intermediate mass flow data obtained by compensating the real-time density and the volume flow eliminates the volume error caused by temperature, thereby avoiding the deviation of the volume flow calculation of fuel consumption. In general, the standard density and the flow correction factor are obtained under stable working conditions to provide a reference that fits the actual situation for correction, and to ensure the accuracy of the correction basis. In general, the mass flow data obtained by correcting the intermediate data with the standard density and the correction factor offsets the flow meter error, thereby providing accurate support for the calculation of net fuel consumption.

[0096] The oil consumption anomaly monitoring module 104 is configured to compare the net fuel consumption with a preset oil consumption threshold in real time, and generate an oil consumption anomaly identifier of the ship if the net fuel consumption continuously exceeds the preset oil consumption threshold. In the embodiment of the present application, when the oil consumption anomaly monitoring module compares the net fuel consumption with a preset oil consumption threshold in real time, and generates an oil consumption anomaly identifier of the ship if the net fuel consumption continuously exceeds the preset oil consumption threshold, it is specifically configured to: Obtain time sequence measurement data of the net fuel consumption within a preset time; Based on the time sequence measurement data, calculate the cumulative deviation amount of the net fuel consumption and the preset oil consumption threshold, wherein the calculation formula of the cumulative deviation amount is as follows:

[0097] wherein, is the cumulative deviation amount, is the total number of measurements, is the net fuel consumption of the i-th measurement, is the preset fuel consumption threshold; is the preset fuel consumption threshold; generates the fuel consumption anomaly identifier of the ship when the cumulative deviation amount exceeds a preset deviation threshold.

[0098] Specifically, the preset time in the fuel consumption anomaly monitoring module is determined according to the sailing characteristics of the ship, the running period of the engine, and the performance duration of common fuel consumption anomalies, for example, set to consecutive hours or a complete sailing section, and the time parameter is stored in the configuration file of the module.

[0099] Further, the module retrieves all net fuel consumption data recorded within the preset time range from the database storing the net fuel consumption, and these data are all accompanied by corresponding collection time stamps. The module arranges these data in the order of collection time to form a sequence recorded in chronological order, i.e., the time series measurement data of the net fuel consumption within the preset time.

[0100] Further, the fuel consumption anomaly monitoring module first extracts the value of each net fuel consumption from the time series measurement data, and retrieves the preset fuel consumption threshold, which comes from the ship fuel consumption benchmark database. For each net fuel consumption in the time series measurement data, the module calculates the absolute value of the difference between it and the preset fuel consumption threshold, and then divides the absolute value by the preset fuel consumption threshold to obtain the deviation proportion of the individual net fuel consumption relative to the preset fuel consumption threshold.

[0101] Further, subsequently, the module adds up the deviation proportions corresponding to all net fuel consumptions to obtain the sum of the deviation proportions, and then divides the sum by the total number of net fuel consumptions contained in the time series measurement data to obtain the cumulative deviation amount of the net fuel consumption and the preset fuel consumption threshold.

[0102] Further, the preset deviation threshold is preset according to the historical fluctuation range of the net fuel consumption of the ship under normal sailing conditions, the allowable fuel consumption error of the engine, and the industry judgment standard for fuel consumption anomalies, and the threshold is stored in the judgment standard library of the fuel consumption anomaly monitoring module.

[0103] Further, the oil consumption anomaly monitoring module compares the calculated cumulative deviation with a preset deviation threshold value. If the value of the cumulative deviation is greater than the value of the preset deviation threshold value, it indicates that the overall deviation of the net fuel consumption in the preset time from the normal range has exceeded the allowable limit. At this time, the module generates an identification information including the starting time of the anomaly, the preset time range, and the specific value of the cumulative deviation. The identification information is the oil consumption anomaly identifier of the ship. After generation, it is stored in the anomaly record database and simultaneously sent to the monitoring terminal of the ship.

[0104] Specifically, the cumulative deviation is the result obtained by calculating the deviation of the measured net fuel consumption from the preset oil consumption threshold value. Its value is the core index for subsequent judgment of whether the fuel consumption is within the normal range.

[0105] Further, the total measurement times are fixed times set before measuring the net fuel consumption. The times are determined according to the time period of ship navigation, measurement accuracy requirements, and data processing needs, for example, set as the total number of measurements at fixed time intervals during a single navigation of the ship. The number of times is counted after each measurement, until the set total measurement times are reached.

[0106] Further, the net fuel consumption of the first measurement is the result obtained by processing the fuel flow data and temperature data collected in the first measurement by the temperature compensation module. Specifically, it is obtained by eliminating temperature error through temperature-density coupling compensation and then performing time domain integration on the mass flow data. The corresponding net fuel consumption is stored after each measurement, and is sequentially marked as the first, second, and so on, up to the measurement value.

[0107] Further, the preset oil consumption threshold value is a fuel consumption reference value determined in advance according to the design parameters of the ship, engine power, fuel type, and typical navigation conditions, serving as a reference standard for judging whether the net fuel consumption of a single measurement is normal.

[0108] Further, the formula is used to calculate the average value of the relative deviation of the net fuel consumption of multiple measurements from the preset oil consumption threshold value, comprehensively reflecting the overall deviation of the net fuel consumption from the reference value during multiple measurements, avoiding the influence of the randomness of single measurement deviation on the judgment result, and providing an objective and comprehensive quantitative basis for evaluating whether the fuel consumption of the ship is stable and whether there is abnormal consumption.

[0109] Further, when the net fuel consumption of multiple measurements as a whole approaches the preset fuel consumption threshold, the absolute value of the relative deviation calculated each time is small, the total sum after accumulation is also small, and the cumulative deviation value obtained by dividing the total number of measurements is small, indicating that the overall fuel consumption is stable and meets the reference requirements; when the net fuel consumption of multiple measurements as a whole deviates from the preset fuel consumption threshold by a large margin, whether it is generally higher or generally lower than the threshold, the absolute value of the relative deviation calculated each time will be larger, the total sum after accumulation will increase, and the cumulative deviation value will also increase accordingly, indicating that the fuel consumption fluctuates obviously or abnormally, and the cause needs to be further investigated.

[0110] In summary, the time sequence measurement data of the net fuel consumption within the preset time is obtained, which can rely on the fuel consumption data of the continuous time period for analysis, avoid the contingency of relying only on single measurement data for abnormality judgment, ensure that the subsequent abnormality judgment is based on continuous and complete fuel consumption change trend, and provide data support for accurately identifying the continuous over-threshold condition.

[0111] In summary, the cumulative deviation value is calculated based on the time sequence measurement data according to the formula, which can comprehensively reflect the degree of overall deviation of the fuel consumption from the reference within the preset time by comprehensively considering the average value of the relative deviation of multiple measurement values and the preset fuel consumption threshold, avoid the interference of single deviation in judgment, make the abnormality judgment more objective and reliable, and solve the problem of easy misjudgment and missed judgment by simply comparing single data.

[0112] In summary, the fuel consumption abnormality identifier is generated when the cumulative deviation value exceeds the preset deviation threshold, which can clearly define the abnormality judgment standard, ensure that the abnormality prompt is triggered only when the overall deviation of the fuel consumption exceeds the allowed range, avoid excessive early warning, and timely capture the real and continuous fuel consumption abnormality, thereby providing an accurate abnormality trigger signal for subsequent energy efficiency evaluation and remote monitoring.

[0113] The energy efficiency evaluation analysis module 105 is configured to respond to the fuel consumption abnormality identifier, combine the net fuel consumption and the real-time sailing state of the ship to evaluate the energy efficiency level of fuel use, and obtain the energy efficiency analysis result of the ship. In the embodiment of the present application, when the energy efficiency evaluation analysis module responds to the fuel consumption abnormality identifier, combines the net fuel consumption and the real-time sailing state of the ship to evaluate the energy efficiency level of fuel use, and obtains the energy efficiency analysis result of the ship, it is specifically used for: When the fuel consumption abnormality identifier appears, the net fuel consumption and the real-time sailing state of the ship within the current time interval are obtained. The net fuel consumption and the speed information in the real-time sailing state of the ship are correspondingly associated to obtain the energy efficiency evaluation data set of the ship. The energy efficiency evaluation data set is matched with the predefined energy efficiency level interval to obtain the energy efficiency level of the ship. According to the energy efficiency level, an energy efficiency analysis result containing energy efficiency level identification and energy efficiency improvement suggestion is generated.

[0114] Specifically, when the fuel consumption anomaly identifier is generated, the energy efficiency evaluation analysis module will immediately trigger the data acquisition mechanism, and the current time interval refers to a preset time length traced back from the time when the fuel consumption anomaly identifier is generated. The time length is pre-set according to the typical period of ship navigation and the needs of anomaly analysis, for example, it is set to a continuous number of hours before the appearance of the anomaly identifier.

[0115] Further, the module retrieves all net fuel consumption data in the time interval from the net fuel consumption storage database, and these data are all with accurate collection time stamps. At the same time, the real-time navigation state of the ship in the same time interval is obtained through the real-time monitoring system of the ship, including the speed, direction, load, engine speed, sea condition information, etc., to ensure that the obtained data are completely consistent in time range.

[0116] Further, the energy efficiency evaluation analysis module will perform time alignment processing on the obtained net fuel consumption and real-time navigation state of the ship. By comparing the collection time stamps of the two, the net fuel consumption at each time point is bound with the corresponding speed information at the time point, forming a one-to-one corresponding relationship. For data with slight differences in time stamps but within the preset allowed range, the module will select the closest speed information for association based on the time stamp of the net fuel consumption.

[0117] Further, after the association of all data is completed, the module will arrange these associated data in chronological order into a structured data set containing time identification, net fuel consumption, and corresponding speed information, which is the energy efficiency evaluation data set of the ship.

[0118] Further, the pre-defined energy efficiency level interval is divided into multiple level ranges according to the standard fuel consumption efficiency of the ship at different speeds. These intervals are pre-set by the ship manufacturer in combination with engine performance parameters, ship design standards, and industry energy efficiency specifications.

[0119] For example, the fuel consumption per unit speed is divided into five level intervals from low to high, namely excellent, good, general, poor, and very poor, and each interval corresponds to a specific energy efficiency level name.

[0120] Further, the energy efficiency evaluation analysis module will calculate the fuel consumption per unit speed of each associated data in the energy efficiency evaluation data set, i.e. the net fuel consumption divided by the corresponding speed information, and then compare the calculation result with the pre-defined energy efficiency level interval, count the number of data falling into each interval, and take the energy efficiency level corresponding to the interval with the most number as the overall energy efficiency level of the ship.

[0121] Further, the energy efficiency evaluation analysis module generates a corresponding energy efficiency level identifier according to the determined energy efficiency level, and the identifier is in the form of combination of words and symbols.

[0122] Further, the module matches the pre-stored energy efficiency improvement recommendation library according to the energy efficiency level, and each level in the recommendation library corresponds to specific improvement measures.

[0123] Further, the module integrates the energy efficiency level identifier and the corresponding energy efficiency improvement recommendation into a structured report, which also contains information such as the time interval of the evaluation and key data samples. The report is the energy efficiency analysis result of the ship, which is generated and sent to the ship management system and the cockpit display terminal simultaneously.

[0124] In summary, when the fuel consumption abnormal identifier appears, the net fuel consumption and the real-time sailing state of the ship in the current time interval are obtained, which can focus on the key data related to the abnormality, ensure the accurate matching of the data time range and the abnormal period, avoid irrelevant data interference analysis, provide basic information closely related to the abnormal scene for subsequent energy efficiency evaluation, and ensure the pertinence of the evaluation.

[0125] In summary, the net fuel consumption and the speed information in the real-time sailing state of the ship are correspondingly associated to obtain the energy efficiency evaluation data set, a direct correlation between "fuel consumption-speed" can be established, the energy efficiency evaluation can be carried out around the actual sailing condition of the ship, the one-sidedness of analyzing fuel consumption separately from speed can be avoided, and the evaluation data set can truly reflect the matching condition of fuel use efficiency and sailing state.

[0126] In summary, the energy efficiency evaluation data set is matched with the pre-defined energy efficiency level interval to obtain the energy efficiency level, which provides a unified and objective standard for energy efficiency determination based on the pre-defined level interval conforming to the ship design standard and industry specification, avoids subjective judgment deviation, ensures the comparability of energy efficiency levels in different time periods and under different conditions, and accurately quantifies the fuel use efficiency level.

[0127] In summary, the energy efficiency analysis result containing the energy efficiency level identifier and the energy efficiency improvement recommendation is generated according to the energy efficiency level, which can intuitively present the energy efficiency state through the level identifier, and can also combine the level matching to provide targeted improvement measures, avoiding the problem of only outputting results without optimization guidance. It provides clear fuel consumption optimization direction for ship operators, helps to improve fuel use efficiency, and also provides practical reference for subsequent management decisions of the remote monitoring platform.

[0128] The data communication reporting module 106 is configured to transmit the energy efficiency analysis result to the remote monitoring platform through a ship communication unit.

[0129] In the embodiment of the present application, when the data communication reporting module transmits the energy efficiency analysis result to the remote monitoring platform through the ship communication channel, it is specifically used for: The energy efficiency analysis result and the maintenance decision suggestion are data encapsulated to obtain a standardized transmission data packet of the ship; The standardized transmission data packet is sent to a remote monitoring platform through a ship communication channel.

[0130] Specifically, a fixed data packet encapsulation format is preset in the data communication reporting module, which includes three parts of a data header, a data body and a data verification field. The data header is used to record basic information such as ship identification, data generation time and data type. The data body is used to store the core content. The data verification field is used to verify the integrity of data transmission.

[0131] Further, the module first calls the energy efficiency analysis result generated by the energy efficiency evaluation and analysis module, and the maintenance decision suggestion matched according to the energy efficiency level. The energy efficiency level identification, evaluation time interval, key data sample in the energy efficiency analysis result and the specific improvement measures in the maintenance decision suggestion are integrated into the data body content.

[0132] Further, the data header is generated according to the preset format. The unique identification code of the current ship, the generation time of the energy efficiency analysis result and the data type identification of “energy efficiency evaluation data” are filled in the header.

[0133] Further, finally, the overall verification value of the data body and the data header is calculated and filled in the data verification field. The data header, data body and data verification field are combined in order to form a data unit with complete structure and in line with transmission standards, which is the standardized transmission data packet of the ship.

[0134] Further, the ship communication channel is a special communication link for data transmission between the ship and the remote monitoring platform, which supports data sending according to a specific communication protocol, such as satellite communication protocol or maritime special wireless network protocol. The data communication reporting module first establishes a connection with the ship communication channel, and confirms that the link state is normal and the transmission bandwidth meets the needs through the channel connection detection mechanism.

[0135] Further, the standardized transmission data packet is then converted according to the format required by the communication protocol to ensure that the encoding method and transmission rate of the data packet match the channel parameters. After conversion, the module sends the standardized transmission data packet through the sending interface of the communication channel, and starts sending state listening to confirm whether the data packet is received by the remote monitoring platform in real time.

[0136] Further, if the listening finds that the data packet transmission fails, the module will immediately resend until it confirms that the remote monitoring platform successfully receives the standardized transmission data packet, completing the data transmission process.

[0137] In general, the standardized transmission data packet obtained through data encapsulation can integrate the energy efficiency analysis result and the maintenance decision suggestion in a preset format, and clearly shows the ship identification, data verification and other information, so that the data is complete and the format is uniform, and the remote monitoring platform can accurately analyze.

[0138] In general, the data packet is sent through the ship communication channel, the link state is monitored to ensure stable transmission, the data is remotely synchronized, the remote end can timely master the ship oil consumption and energy efficiency, and reliable data support is provided for subsequent control decision.

[0139] Referring to Figure 2 The ship oil consumption whole-process online monitoring method provided by the embodiment includes the following steps: S1. Real-time collection of fuel flow data and fuel temperature data of the ship; S2. Data regularization of the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a temperature data set; S3. Temperature-density coupling compensation of the volume flow data in the flow data set based on the real-time fuel temperature value in the temperature data set, and elimination of the fuel volume expansion and contraction error caused by temperature change to obtain the net fuel consumption of the ship; S4. Real-time comparison of the net fuel consumption with a preset fuel consumption threshold, and generation of an oil consumption abnormal identifier of the ship if the net fuel consumption continuously exceeds the preset fuel consumption threshold; S5. Energy efficiency level evaluation of fuel use efficiency in response to the oil consumption abnormal identifier, in combination with the net fuel consumption and the real-time sailing state of the ship to obtain the energy efficiency analysis result of the ship; S6. Transmission of the energy efficiency analysis result to a remote monitoring platform through a ship communication unit.

[0140] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0141] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology and application system for using digital computers or digital computer controlled machines to simulate, extend and expand human intelligence, perceive environment, acquire knowledge and use knowledge to obtain optimal results.

[0142] Finally, it should be noted that the above examples are merely intended to illustrate the technical solutions of the present application and not to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced without departing from the spirit and scope of the present application.

Claims

1. A ship fuel consumption whole-process online monitoring system, characterized in that, The system comprises a data acquisition module, a data regularization module, a temperature compensation module, an oil consumption anomaly monitoring module, an energy efficiency evaluation and analysis module, and a data communication reporting module, wherein: The data acquisition module is configured to acquire real-time fuel flow data and fuel temperature data of the ship. The data regularization module is configured to perform data regularization on the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a temperature data set. The temperature compensation module is configured to perform temperature-density coupling compensation on the volume flow data in the flow data set based on the real-time fuel temperature value in the temperature data set, and eliminate the fuel volume expansion and contraction errors caused by temperature changes to obtain the net fuel consumption of the ship. The oil consumption anomaly monitoring module is configured to compare the net fuel consumption with a preset oil consumption threshold in real time, and generate an oil consumption anomaly identifier of the ship if the net fuel consumption continuously exceeds the preset oil consumption threshold. The energy efficiency evaluation and analysis module is configured to evaluate the energy efficiency level of fuel use in response to the oil consumption anomaly identifier, in combination with the net fuel consumption and the real-time sailing state of the ship, to obtain an energy efficiency analysis result of the ship. The data communication reporting module is configured to transmit the energy efficiency analysis result to a remote monitoring platform through a ship communication channel.

2. The ship fuel consumption full-process online monitoring system according to claim 1, characterized in that, When acquiring real-time fuel flow data and fuel temperature data of the ship, the data acquisition module is specifically configured to: synchronously acquire volume flow data and temperature data of the fuel; perform collaborative fusion processing on the volume flow data and the temperature data to obtain the fuel flow data and the fuel temperature data of the ship.

3. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, When performing data regularization on the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a temperature data set, the data regularization module is specifically configured to: perform filtering and noise reduction processing on the fuel flow data to obtain clean flow data of the ship; perform dimension normalization processing on the fuel temperature data to obtain standardized temperature data of the ship; align the clean flow data and the standardized temperature data in time sequence to obtain a standardized flow data set and a temperature data set.

4. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, When performing temperature-density coupling compensation on the volume flow data in the flow data set based on the real-time fuel temperature value in the temperature data set, and eliminating the fuel volume expansion and contraction errors caused by temperature changes to obtain the net fuel consumption of the ship, the temperature compensation module is specifically configured to: extract the real-time fuel temperature value and the corresponding volume flow data in the temperature data set; perform outlier filtering on the real-time fuel temperature value to obtain preprocessed temperature data of the ship; extract the mapping relationship between the fuel density and the fuel temperature in the ship; calculate the real-time fuel density value of the ship based on the mapping relationship between the fuel density and the fuel temperature and the preprocessed temperature data; perform density compensation on the volume flow data based on the real-time fuel density value to obtain mass flow data of the ship; and perform temperature-density coupling compensation on the mass flow data based on the mapping relationship between the fuel density and the fuel temperature to obtain the net fuel consumption of the ship. The mass flow data is time domain integrated to obtain the net fuel consumption of the ship.

5. The ship fuel oil consumption full-process online monitoring system according to claim 4, characterized in that, The calculation formula of the real-time fuel density value is as follows: wherein, is the real-time fuel density at a temperature of is the standard fuel density at a temperature of is the base thermal expansion coefficient of the fuel, is the flow correction factor for the fuel component, is the real-time temperature value in the pre-processed temperature data, is the standard reference temperature, is the base of the natural logarithm.​​ 6. The ship fuel oil consumption full-process online monitoring system according to claim 4, characterized in that, When performing density compensation on the volume flow data based on the real-time fuel density value to obtain the mass flow data of the ship, the temperature compensation module is specifically configured to: The real-time fuel density value is subjected to density compensation processing with the volume flow data to obtain intermediate mass flow data of the ship. The standard fuel density and the corresponding flow correction factor of the ship under the stable working condition are obtained. Based on the standard fuel density and the flow correction factor, the intermediate mass flow data is corrected to obtain the mass flow data of the ship.

7. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, When performing real-time comparison between the net fuel consumption and a preset fuel consumption threshold, and generating an oil consumption anomaly identifier of the ship if the net fuel consumption continuously exceeds the preset fuel consumption threshold, the oil consumption anomaly monitoring module is specifically configured to: Obtain time sequence measurement data of the net fuel consumption within a preset time; Based on the time sequence measurement data, calculate the cumulative deviation amount of the net fuel consumption and the preset fuel consumption threshold, wherein the calculation formula of the cumulative deviation amount is as follows: In the formula, is the cumulative deviation amount, is the total number of measurements, is the net fuel consumption amount of the measurement, is the preset fuel consumption threshold value; When the cumulative deviation amount exceeds a preset deviation threshold, generate an oil consumption anomaly identifier of the ship.

8. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, When the oil consumption anomaly identifier appears, the net fuel consumption and the real-time sailing state of the ship within the current time interval are obtained. The net fuel consumption is correspondingly associated with the speed information in the real-time sailing state of the ship to obtain an energy efficiency evaluation data set of the ship. The energy efficiency evaluation data set is matched with a predefined energy efficiency level interval to obtain an energy efficiency level of the ship. According to the energy efficiency level, an energy efficiency analysis result containing an energy efficiency level identifier and an energy efficiency improvement suggestion is generated. When transmitting the energy efficiency analysis result to a remote monitoring platform through a ship communication channel, the data communication reporting module is specifically configured to:

9. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, Data encapsulation is performed on the energy efficiency analysis result and maintenance decision suggestions to obtain a standardized transmission data packet of the ship. The standardized transmission data packet is sent to the remote monitoring platform through the ship communication channel. The method comprises:

10. A method for online monitoring of the whole process of ship oil consumption, characterized in that, S1. Real-time collection of fuel flow data and fuel temperature data of a ship; S2. Data regularization is performed on the fuel flow data and the fuel temperature data to obtain a standardized flow data set and a temperature data set; S3. Based on the real-time fuel temperature value in the temperature data set, temperature-density coupling compensation is performed on the volume flow data in the flow data set, and fuel volume expansion and contraction errors caused by temperature changes are eliminated to obtain the net fuel consumption of the ship; ​ S4. Real-time comparison of the net fuel consumption with a preset fuel consumption threshold, and if the net fuel consumption continuously exceeds the preset fuel consumption threshold, an abnormal fuel consumption identifier of the ship is generated; S5. In response to the abnormal fuel consumption identifier, energy efficiency level evaluation of fuel use efficiency is performed in combination with the net fuel consumption and real-time sailing state of the ship, and energy efficiency analysis result of the ship is obtained; S6. The energy efficiency analysis result is transmitted to a remote monitoring platform through a ship communication channel.

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