A ship fuel consumption whole-process online monitoring system and method

Abstract

The present application relates to the technical field of flow measurement, and discloses a ship oil consumption whole-process online monitoring system and method, which 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, real-time acquisition of fuel flow and temperature data of the ship, and standardized data sets are obtained after data regularization. According to the real-time fuel temperature, the volume flow is compensated by temperature-density coupling, and the volume error caused by thermal expansion and cold contraction is eliminated, so as to calculate the net fuel consumption. The consumption is compared with the preset oil consumption threshold in real time, and if the threshold is continuously exceeded, an oil consumption anomaly identifier is generated. Then, combined with the real-time sailing state of the ship, the fuel use efficiency is evaluated in terms of energy efficiency level, the energy efficiency analysis result is obtained, and is transmitted to the remote monitoring platform through the ship communication channel; the present application can improve the accuracy of ship oil consumption whole-process online monitoring.

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, which leads to the breaking of the space-time correlation between the data, and at the same time, the flow data is not subjected to targeted filtering and noise reduction, and the temperature data is not subjected to dimension normalization, so that the original data is mixed with noise interference and dimension difference, a standardized data set cannot be formed, the precision of the basic data provided for subsequent oil consumption calculation is insufficient, and accurate oil consumption monitoring cannot be supported.

[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 according to volume flow, which cannot eliminate the volume error caused by thermal expansion and contraction, so that the calculation of net fuel consumption is greatly deviated; and in the oil consumption anomaly judgment, only the single oil consumption data is simply compared with the threshold value, 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 practicality 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-mentioned 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:

[0006] The data acquisition module is configured to acquire real-time fuel flow data and fuel temperature data of the ship.

[0007] The data regularization module is configured to perform data regularization on the fuel flow data and the fuel temperature data to obtain standardized flow data set and temperature data set.

[0008] 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 error caused by temperature change to obtain the net fuel consumption of the ship.

[0009] 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.

[0010] The energy efficiency evaluation 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.

[0011] The data communication reporting module is configured to transmit the energy efficiency analysis result to a remote monitoring platform through a ship communication unit.

[0012] 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:

[0013] synchronously acquire the volume flow data and the temperature data of the fuel;

[0014] cooperatively fuse the volume flow data and the temperature data to obtain the fuel flow data and the fuel temperature data of the ship.

[0015] 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:

[0016] filter and denoise the fuel flow data to obtain clean flow data of the ship;

[0017] dimensionally normalize the fuel temperature data to obtain standardized temperature data of the ship;

[0018] 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.

[0019] 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:

[0020] extract the real-time fuel temperature value and the corresponding volume flow data in the temperature data set;

[0021] filter outliers of the real-time fuel temperature value to obtain preprocessed temperature data of the ship;

[0022] extracting a mapping relationship between fuel density and fuel temperature in the ship;

[0023] calculating a real-time fuel density value of the ship based on the mapping relationship between fuel density and fuel temperature and the pre-processed temperature data;

[0024] performing density compensation on the volume flow data based on the real-time fuel density value to obtain mass flow data of the ship;

[0025] performing time-domain integration on the mass flow data to obtain net fuel consumption of the ship.

[0026] In a preferred embodiment, the calculation formula of the real-time fuel density value is as follows:

[0027]

[0028] wherein, is a real-time fuel density when the temperature is is a standard fuel density when the temperature is is a basic thermal expansion coefficient of the fuel, is a flow correction factor of the fuel component, is a real-time temperature value in the pre-processed temperature data, is a standard reference temperature, is a base number of a natural logarithm. In a preferred embodiment, when the temperature compensation module performs density compensation on the volume flow data based on the real-time fuel density value to obtain mass flow data of the ship, it is specifically used for:

[0029] performing density compensation processing on the real-time fuel density value and the volume flow data to obtain intermediate mass flow data of the ship;

[0030] obtaining a standard fuel density and a corresponding flow correction factor of the ship under a stable working condition;

[0031] correcting the intermediate mass flow data based on the standard fuel density and the flow correction factor to obtain mass flow data of the ship.

[0032] In a preferred embodiment, when the oil consumption anomaly monitoring module performs real-time comparison of the net fuel consumption and a preset oil consumption threshold, 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 used for:

[0033]

[0034] ​​Obtain time-series measurement data of the net fuel consumption within a preset time period;

[0035] 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:

[0036]

[0037] In the formula, The cumulative deviation is... This represents the total number of measurements. For the first Net fuel consumption measured once. The preset fuel consumption threshold;

[0038] When the cumulative deviation exceeds a preset deviation threshold, an abnormal fuel consumption identifier for the vessel is generated.

[0039] In a preferred embodiment, when the energy efficiency assessment and analysis module responds to the fuel consumption anomaly identifier and performs an energy efficiency level assessment of fuel use efficiency based on the net fuel consumption and the ship's real-time navigation status to obtain the ship's energy efficiency analysis results, it is specifically used for:

[0040] When the fuel consumption anomaly identifier is detected, obtain the net fuel consumption and the real-time navigation status of the ship within the current time interval.

[0041] The net fuel consumption is correlated with the ship's speed information in real-time navigation status to obtain the ship's energy efficiency assessment dataset.

[0042] The energy efficiency assessment dataset is matched with a predefined energy efficiency level range to obtain the energy efficiency level of the ship;

[0043] Based on the energy efficiency level, generate energy efficiency analysis results that include energy efficiency level labels and energy efficiency improvement suggestions.

[0044] In a preferred embodiment, when the data communication reporting module transmits the energy efficiency analysis results to the remote monitoring platform via the ship's communication channel, it is specifically used for:

[0045] The energy efficiency analysis results and maintenance decision recommendations are encapsulated to obtain a standardized data transmission package for the ship;

[0046] The standardized data packets are sent to the remote monitoring platform via the ship's communication channel.

[0047] To address the above problems, the present invention also provides a method for online monitoring of ship fuel consumption throughout the entire process, the method comprising:

[0048] S1. collecting fuel flow data and fuel temperature data of a ship in real time;

[0049] S2. 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;

[0050] S3. performing temperature-density coupling compensation on the volume flow data in the flow data set based on a real-time fuel temperature value in the temperature data set, and eliminating fuel volume expansion and contraction errors caused by temperature changes to obtain a net fuel consumption of the ship;

[0051] S4. comparing the net fuel consumption with a preset fuel consumption threshold in real time, and generating a fuel consumption anomaly identifier of the ship if the net fuel consumption continuously exceeds the preset fuel consumption threshold;

[0052] S5. in response to the fuel consumption anomaly identifier, performing energy efficiency level evaluation on fuel use efficiency in combination with the net fuel consumption and a real-time sailing state of the ship to obtain an energy efficiency analysis result of the ship;

[0053] S6. transmitting the energy efficiency analysis result to a remote monitoring platform through a ship communication unit.

[0054] Compared with the prior art, the present application has the following beneficial effects:

[0055] 1. The present application synchronously collects ship fuel flow and temperature data in real time, realizes data regularization through filtering, noise reduction, dimension normalization and time alignment, and then performs temperature-density coupling compensation based on real-time fuel temperature to accurately eliminate volume errors caused by temperature, thereby effectively improving the accuracy of net fuel consumption calculation and providing reliable core data support for fuel consumption monitoring.

[0056] 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 evaluation in combination with a 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 fuel consumption anomalies in time, but also can provide a clear direction for fuel efficiency optimization, thereby significantly improving the comprehensiveness and practicality of ship fuel consumption monitoring and ensuring the efficiency of fuel consumption management. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 The system architecture diagram of the ship fuel consumption whole-process online monitoring system provided by an embodiment of the present application;

[0058] Figure 2 The flowchart of the ship fuel consumption whole-process online monitoring method provided by an embodiment of the present application.

[0059] The objectives, functional characteristics and advantages of the present application will be further described with reference to the embodiments in combination with the accompanying drawings. DETAILED DESCRIPTION

[0060] To make the objectives, 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 but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0061] The terms used in the embodiments of the present application are merely for the purpose of describing specific embodiments and are not intended to limit the present application. The singular forms "the" and "said" 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. "Plural" generally includes at least two.

[0062] Depending on the context, the word "if" or "if" as used herein can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detecting (a stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detecting (a stated condition or event)" or "in response to detecting (a stated condition or event)".

[0063] In addition, the step sequence in each of the following method embodiments is only an example and is not strictly limited.

[0064] In fact, the server equipment deployed by the ship oil consumption whole-process online monitoring system can be composed of one or more devices. The ship oil consumption whole-process online monitoring system can be implemented as a business instance, a virtual machine, or a hardware device. For example, the ship oil consumption whole-process online monitoring system can be implemented as a business instance deployed on one or more devices in a cloud node. In short, the ship oil consumption whole-process online monitoring system can be understood as a software deployed on a cloud node, which is used to provide a ship oil consumption whole-process online monitoring system for each user terminal. Alternatively, the ship oil consumption whole-process online monitoring system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. The virtual machine has application software installed therein for managing each user terminal. Alternatively, the ship oil consumption whole-process online monitoring system can also be implemented as a server composed of a plurality of same or different types of hardware devices, and one or more hardware devices are set to provide a ship oil consumption whole-process online monitoring system for each user terminal.

[0065] In an implementation form, the ship oil consumption whole-process online monitoring system and the user end are mutually adaptive. That is, the ship oil consumption whole-process online monitoring system is installed as an application on a cloud service platform, and the user end is a client that establishes a communication connection with the application; or the ship oil consumption whole-process online monitoring system is implemented as a website, and the user end is implemented as a webpage; or the ship oil consumption whole-process online monitoring system is implemented as a cloud service platform, and the user end is implemented as an applet in an instant messaging application.

[0066] As shown in Figure 1 FIG. 1 is a system architecture diagram of a ship oil consumption whole-process online monitoring system according to an embodiment of the present application.

[0067] The ship oil consumption whole-process online monitoring system 100 can be disposed in a cloud server, and in an implementation form, can be one or more service devices, or can be installed as an application on a cloud (for example, a server of a mobile service operator, a server cluster, etc.), or can be developed as a website. According to the implemented functions, the ship oil consumption whole-process online monitoring system 100 can include a data acquisition module 101, a data regularization module 102, a temperature compensation module 103, an oil consumption anomaly monitoring module 104, an energy efficiency evaluation and analysis module 105, and a data communication reporting module 106. The modules of the present application can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete a fixed function, and are stored in the memory of the electronic device.

[0068] In the embodiment of the present application, each of the above modules in the ship oil consumption whole-process online monitoring system can be independently implemented and called by other modules. The calling here can be understood as that a module can connect multiple modules of another type and provide corresponding services for the connected multiple modules. In the ship oil consumption whole-process online monitoring system provided by the embodiment of the present application, without modifying the program code, the application range of the ship oil consumption whole-process online monitoring system architecture can be adjusted by adding modules and directly calling, realizing cluster-type horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the ship oil consumption whole-process online monitoring system. In actual application, the above modules can be disposed in the same device or different devices, or can be disposed in a virtual device, such as a service instance in a cloud server.

[0069] The following will be described in combination with specific embodiments, respectively for each component of the ship oil consumption whole-process online monitoring system and the specific work flow:

[0070] The data acquisition module 101 is configured to acquire the fuel flow data and the fuel temperature data of the ship in real time.

[0071] In the embodiment of the present application, when the data acquisition module performs real-time collection of the fuel flow data and the fuel temperature data of the ship, it is specifically used for:

[0072] synchronously collecting the volume flow data and the temperature data of the fuel;

[0073] cooperatively fusing the volume flow data and the temperature data to obtain the fuel flow data and the fuel temperature data of the ship.

[0074] Specifically, two sets of synchronous acquisition devices are deployed in the data acquisition module, which are a volume flow sensor and a temperature sensor. The two sensors are installed at the same monitoring section of the fuel transmission pipeline of the ship, ensuring that the collected fuel data is at the same time and the same position.

[0075] Further, after the collection is started, the volume flow sensor captures the flow speed 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 section per unit time, i.e. the volume flow data, through the internal integrated calculation unit. At the same time, the temperature sensor detects the temperature value of the fuel in real time through contact sensing, i.e. the temperature data.

[0076] Further, the two sets of sensors are controlled by an internal synchronous clock module to ensure that each collection operation is completely synchronized in time, realizing the synchronous collection of the volume flow data and the temperature data of the fuel.

[0077] Further, a cooperative fusion processing unit is built in the data acquisition module. The unit first receives the volume flow data and the temperature data collected synchronously, and aligns the time stamps of the two types of data, ensuring that each set of volume flow data can correspond to the temperature data at the same collection time.

[0078] Further, subsequently, the cooperative fusion processing unit will perform correlation verification on 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.

[0079] Further, after the verification is passed, the processing unit will mark the volume flow data as "ship fuel flow data" and the temperature data as "ship fuel temperature data", and combine the two types of data into a complete data record containing collection time, fuel flow data, and fuel temperature data according to a preset data format, complete the cooperative fusion processing, and finally obtain the fuel flow data and the fuel temperature data of the ship.

[0080] In general, synchronous collection of fuel volume flow and temperature data can ensure the spatiotemporal consistency of the two types of data, avoid correlation rupture, provide accurate basic data for subsequent temperature compensation, and prevent oil consumption calculation deviation.

[0081] In general, the volume flow rate and temperature data are fused together, time-stamped, associated, and checked for anomalies to form a record containing complete information, clearly defining the ship fuel flow rate and temperature data, providing high-quality initial data for subsequent links, and ensuring monitoring accuracy.

[0082] The data normalization module 102 is configured to normalize the fuel flow rate data and the fuel temperature data to obtain a standardized flow rate data set and a temperature data set.

[0083] In the embodiment of the present application, when the data normalization module normalizes the fuel flow rate data and the fuel temperature data to obtain a standardized flow rate data set and a temperature data set, it is specifically configured to:

[0084] Filtering and denoising the fuel flow rate data to obtain clean flow rate data of the ship;

[0085] Dimensionless normalization of the fuel temperature data to obtain standardized temperature data of the ship;

[0086] Time aligning the clean flow rate data and the standardized temperature data according to the time sequence to obtain a standardized flow rate data set and a temperature data set.

[0087] Specifically, the data normalization module has a pre-set fixed sliding window filtering tool, which has a fixed length window, and the window length is pre-set according to the collection frequency of the ship fuel flow rate data, ensuring that it can cover several adjacent consecutive flow rate data points.

[0088] Further, when filtering and denoising the fuel flow rate data, the fuel flow rate data is sequentially input into the sliding window filtering tool according to the collection time sequence, the tool takes the current data point as the center, selects all data points in the window to calculate the average value, and replaces the original value of the current data point with the average value, and performs this operation on all fuel flow rate data points by point, to remove abnormal peaks or troughs in the data caused by sensor fluctuations, and finally obtain clean flow rate data of the ship that eliminates noise interference.

[0089] Further, the data normalization 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 dimensionless normalizing the fuel temperature data, the original value of each fuel temperature data is first extracted, and the original value is compared with the upper limit value of the standard dimension range.

[0090] 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, if it is within the range, the original value is kept unchanged, and then the adjusted value is converted into a value within a specific interval according to fixed logic, the dimension is unified, and finally the standardized temperature data of the ship is obtained.

[0091] Further, the data normalization module is built-in time sequence alignment tool, which will extract the collection time stamp corresponding to the clean flow data and the standardized temperature data respectively, and the collection time stamp is completely synchronized with the system clock at the time of data collection.

[0092] Further, according to the time sequence, the time stamps of the two types of data are matched one by one, the clean flow data and the standardized temperature data with the same time stamp or the difference within the preset allowable range are found, each set of matched data is marked as the record of the same time node, and the data without matching items is directly eliminated.

[0093] Further, finally, all the matched clean flow data are arranged in chronological order to form an ordered set, that is, the standardized flow data set, and the corresponding standardized temperature data are arranged in the same chronological order to form an ordered set, that is, the standardized temperature data set.

[0094] In general, the clean flow data obtained by filtering and denoising the fuel flow data can eliminate sensor fluctuation interference and ensure the accuracy of the flow data, laying a foundation for subsequent calculation.

[0095] In general, the standardized temperature data obtained by dimension normalization of the fuel temperature data can unify the dimension difference, avoid comparison deviation, and ensure that the temperature data can be used for collaborative analysis.

[0096] In general, the clean flow data obtained by filtering and denoising the fuel flow data can eliminate sensor fluctuation interference and ensure the accuracy of the flow data, laying a foundation for subsequent calculation.

[0097] The temperature compensation module 103 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, eliminate the fuel volume expansion and contraction error caused by temperature change, and obtain the net fuel consumption of the ship.

[0098] In the embodiment of the present application, 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, eliminates the fuel volume expansion and contraction error caused by temperature change, and obtains the net fuel consumption of the ship, it is specifically used for:

[0099] extracting real-time fuel temperature values in the temperature data set and corresponding volume flow data;

[0100] performing outlier filtering on the real-time fuel temperature values to obtain pretreated temperature data of the ship;

[0101] extracting a mapping relationship between fuel density and fuel temperature in the ship;

[0102] calculating real-time fuel density values of the ship based on the mapping relationship between the fuel density and the fuel temperature and the pretreated temperature data;

[0103] performing density compensation on the volume flow data based on the real-time fuel density values to obtain mass flow data of the ship;

[0104] performing time-domain integration on the mass flow data to obtain net fuel consumption of the ship.

[0105] The calculation formula of the real-time fuel density value is as follows:

[0106]

[0107] In the formula, is a real-time fuel density when the temperature is is a standard fuel density when the temperature is is a basic thermal expansion coefficient of the fuel, is a flow correction factor of a fuel component, is a real-time temperature value in the pretreated temperature data, is a standard reference temperature, is a base number of a natural logarithm.

[0108] When performing density compensation on the volume flow data based on the real-time fuel density values to obtain mass flow data of the ship, the temperature compensation module is specifically configured to:

[0109] performing density compensation processing on the real-time fuel density values and the volume flow data to obtain intermediate mass flow data of the ship;

[0110] obtaining a standard fuel density and a corresponding flow correction factor of the ship under a stable working condition;

[0111] correcting the intermediate mass flow data based on the standard fuel density and the flow correction factor to obtain mass flow data of the ship.

[0112] ​​Specifically, the temperature compensation module will first call the completed time alignment of the temperature data set and the flow data set, since the two data sets have been one-to-one corresponding according to the collection time node, the module will traverse the two data sets one by one according to the time sequence, and extract the real-time fuel temperature value of each time node from the temperature data set.

[0113] Further, the volume flow data corresponding to the time node is extracted from the flow data set at the same time, each group of real-time fuel temperature value is stored in association with the corresponding volume flow data, and a temporary data group containing time identification, real-time fuel temperature value and corresponding volume flow data is formed, and the extraction of real-time fuel temperature value and corresponding volume flow data is completed.

[0114] Further, the temperature compensation module has pre-stored the 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, and ensures to cover all temperature values that may occur under the normal navigation state of the ship.

[0115] Further, when filtering the abnormal value of the real-time fuel temperature value, the module will check each real-time fuel temperature value one by one, judge whether it is in the preset normal working temperature range, if a real-time fuel temperature value is out of the range, it is determined as an abnormal value.

[0116] Further, at this time, the module will select the two normal real-time fuel temperature values adjacent to the abnormal value, calculate the average value of the two normal temperature values, replace the abnormal value with the average value, if the abnormal value is at the beginning or the end of the data, replace it with one of the adjacent normal temperature values; after the identification and replacement of all abnormal values, the obtained temperature data is the pretreatment temperature data of the ship.

[0117] Further, the mapping relationship between the fuel density and the fuel temperature of the ship is pre-determined by experiment and stored in the special database of the temperature compensation module, during the experiment, the corresponding density value of the specific fuel type used by the ship will be measured under different temperature conditions, the measured temperature value and density value are recorded one by one to form a complete fuel density-temperature mapping relationship table, which will be stored according to the fuel type.

[0118] Further, when extracting the mapping relationship, the temperature compensation module will first obtain the fuel type information currently used by the ship, and then call 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.

[0119] Further, the temperature compensation module will compare each temperature value in the pre-processed temperature data with the extracted fuel density-temperature mapping table one by one. If a pre-processed temperature value has a completely matching temperature record in the mapping table, the density value corresponding to the temperature record will be directly called as the real-time fuel density value corresponding to the pre-processed temperature value.

[0120] Further, if a pre-processed temperature value does not have a completely matching temperature record in the mapping table, but is between two adjacent temperature records, the density values corresponding to the two adjacent temperature records will be selected. Based on the distance between the pre-processed temperature value and the two adjacent temperature values, the intermediate value between the two density values will be taken as the real-time fuel density value corresponding to the pre-processed temperature value.

[0121] Further, by the above-mentioned manner, a unique corresponding real-time fuel density value is matched for each pre-processed temperature data, and the calculation of the real-time fuel density value of the ship is completed.

[0122] Further, the temperature compensation module will associate 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.

[0123] Further, for each set of associated data, the module will multiply 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.

[0124] Further, after all the group data completes the above-mentioned multiplication operation, a series of mass flow results are obtained, which are the mass flow data of the ship.

[0125] Further, the temperature compensation module will first determine the collection time interval of the mass flow data, which is consistent with the system setting at the time of data collection. The module will divide the mass flow data into continuous time periods according to the collection time sequence, and the length of each time period is equal to the collection time interval.

[0126] Further, for each time period, the module will multiply 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.

[0127] Further, subsequently, the module will accumulate the fuel mass calculated 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.

[0128] Specifically, the temperature is The standard fuel density at the time 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.

[0129] 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 each component in the fuel.

[0130] 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, the key components affecting the density temperature characteristics are identified, and then combined with 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 the density calculation.

[0131] 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 processing of the fuel temperature sensor of the ship, and can reflect the actual temperature state of the fuel at the current time.

[0132] Further, the standard reference temperature is the 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.

[0133] Further, the base number 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.

[0134] Further, the significance of this formula is to consider the influence of temperature change on fuel density, combined with the thermal expansion characteristics and component characteristics of the fuel, to correct the fuel density at the standard reference temperature to the actual fuel density at the current real-time temperature, thereby accurately reflecting the true state of the fuel density under different temperature conditions, and providing accurate density basis for the conversion of volume flow to mass flow.

[0135] Further, when the real-time temperature is higher than the standard reference temperature, the density of the fuel decreases due to thermal expansion, and the index term corresponding to the basic thermal expansion coefficient in the formula will reduce the calculation result, while the quadratic term corresponding to the flow correction factor of the fuel component will make a subtle adjustment to the amplitude of the reduction according to the characteristics of the component, 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 density of the fuel increases due to shrinkage, and the index term corresponding to the basic thermal expansion coefficient will increase the calculation result, and the quadratic term also makes a subtle adjustment, and overall the real-time fuel density will increase with the decrease of temperature.

[0136] 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, ensuring that each volume flow data can correspond to the real-time fuel density value at the same time, and then performing a multiplication operation on each set of associated data, that is, multiplying the value of the volume flow data by the value of the corresponding real-time fuel density.

[0137] 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.

[0138] Further, the stable working condition of the ship refers to the running state of the ship in uniform speed, stable engine output power, and fuel system pressure and temperature fluctuations 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.

[0139] 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 used to offset the measurement deviation of the flowmeter. The temperature compensation module confirms that it is currently in a stable working condition by reading the ship's navigation parameters and engine operation parameters, and directly retrieves the corresponding standard fuel density and flow correction factor from the special database.

[0140] Further, the temperature compensation module matches the intermediate mass flow data with the obtained flow correction factor, and performs a multiplication operation on the value of each intermediate mass flow data with the value of the flow correction factor.

[0141] Further, by this calculation, the measurement error of the flowmeter due to mechanical wear, installation deviation and other factors is eliminated, and the calculation result is checked with reference to the standard fuel density, ensuring that the corrected result meets the fuel mass flow characteristics under the stable working condition, and the final corrected and checked flow data is the mass flow data of the ship.

[0142] In general, the real-time fuel temperature values and corresponding volume flow data in the temperature data set are extracted, precise correlation between the two types of data is established, basis data for subsequent temperature-density coupling compensation is provided, and compensation deviation caused by data misplacement is avoided.

[0143] In general, the real-time fuel temperature values are subjected to abnormal value filtering to obtain pretreated temperature data, invalid values in the temperature data caused by sensor abnormalities and the like are eliminated, the temperature data used for density calculation is ensured to be real and reliable, and interference of abnormal temperature on subsequent processes is eliminated.

[0144] In general, the mapping relationship between the fuel density and the temperature of the ship is extracted, a basis conforming to the characteristics of the fuel used by the ship is provided for real-time fuel density calculation, the density calculation is ensured to be in line with the actual physical properties of the fuel, and errors caused by general density data are avoided.

[0145] In general, the real-time fuel density value is calculated based on the mapping relationship and the pretreated temperature data, the actual density of the fuel at the current temperature is accurately reflected, accurate parameters are provided for volume flow to mass flow conversion, and the scientific nature of the compensation calculation is ensured.

[0146] In general, the volume flow data is subjected to density compensation according to the real-time fuel density value to obtain mass flow data, errors caused by volume expansion or contraction of the fuel due to temperature changes are effectively eliminated, and the volume flow is converted into mass flow that is more in line with the actual consumption.

[0147] In general, the net fuel consumption is obtained by time domain integration of the mass flow data, the fuel consumption in different time periods is accurately accumulated, and finally the real and accurate net fuel consumption of the ship is obtained, reliable core data for subsequent oil consumption anomaly monitoring and energy efficiency evaluation is provided, and the problem of large oil consumption calculation deviation in the prior art is solved.

[0148] In general, 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.

[0149] In general, the basic thermal expansion coefficient of the fuel is introduced into the formula, the thermal expansion and contraction characteristics of the fuel caused by temperature changes are accurately reflected, the influence of temperature on density is avoided when only fixed density is used for calculation, and the calculation deviation of the fuel density caused by thermal expansion and contraction is reduced.

[0150] In general, the flow correction factor of the fuel components is incorporated, the specific component differences of the fuel used by the ship are adjusted, the differences in the sensitivity of different fuel components to density and temperature are fitted, the calculation result is more in line with the actual physical properties of the fuel, and the problem that general calculation cannot adapt to different fuel types is avoided.

[0151] In summary, the real-time temperature values ​​from the preprocessed temperature data... Compared with standard reference temperature The difference is the core variable, combined with the base of the natural logarithm. By constructing an exponential relationship, the nonlinear law of fuel density change with temperature can be accurately described. Compared with linear calculation, it is closer to the actual density change trend and improves the calculation accuracy of real-time fuel density value.

[0152] In general, through standard fuel density As a benchmark, it ensures that calculations are always based on industry or ship standard density benchmarks, so that real-time fuel density values ​​at different temperatures have a unified reference basis, which facilitates subsequent density-based volumetric flow rate compensation calculations and lays the foundation for obtaining accurate net fuel consumption.

[0153] In summary, real-time density and volumetric flow rate compensation yields intermediate mass flow rate data, which initially eliminates temperature-induced volumetric errors and avoids deviations in fuel consumption calculation based on volumetric flow rate.

[0154] In summary, obtaining the standard density and flow correction factors under stable operating conditions provides a realistic reference for corrections, ensuring the accuracy of the correction basis.

[0155] In summary, the mass flow rate data obtained by correcting intermediate data with standard density and correction factors offsets flow meter errors and provides accurate support for the calculation of net fuel consumption.

[0156] The fuel consumption anomaly monitoring module 104 is used to compare the net fuel consumption with a preset fuel consumption threshold in real time. If the net fuel consumption continues to exceed the preset fuel consumption threshold, a fuel consumption anomaly identifier for the ship is generated.

[0157] In this embodiment of the invention, 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:

[0158] Obtain time-series measurement data of the net fuel consumption within a preset time period;

[0159] 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:

[0160]

[0161] In the formula, The cumulative deviation is... This represents the total number of measurements. the net fuel consumption of the ship, the preset fuel consumption threshold;

[0162] an oil consumption anomaly identifier of the ship is generated when the accumulated deviation exceeds a preset deviation threshold.

[0163] Specifically, the preset time in the oil consumption anomaly monitoring module is determined according to the sailing characteristics of the ship, the running period of the engine, and the performance time length of common oil 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.

[0164] Further, the module retrieves all the 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.

[0165] Further, the oil 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.

[0166] Further, subsequently, the module adds up the deviation proportions corresponding to all the net fuel consumptions to obtain the total sum of the deviation proportions, and then divides the total sum by the total number of the net fuel consumptions contained in the time series measurement data to obtain the accumulated deviation of the net fuel consumption from the preset fuel consumption threshold.

[0167] 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 oil consumption anomalies, and the threshold is stored in the judgment standard library of the oil consumption anomaly monitoring module.

[0168] Further, the oil consumption anomaly monitoring module compares the calculated accumulated deviation with the preset deviation threshold. If the value of the accumulated deviation is greater than the value of the preset deviation threshold, it indicates that the overall deviation of the net fuel consumption within the preset time from the normal range has exceeded the allowable limit. At this time, the module generates an identification information containing the starting time of the anomaly, the preset time range, and the specific value of the accumulated deviation, which is the oil consumption anomaly identifier of the ship. After generation, the identification information is stored in the anomaly record database and simultaneously sent to the monitoring terminal of the ship.​

[0169] Specifically, the cumulative deviation is the result of calculating the deviation of the net fuel consumption of multiple measurements from the preset fuel consumption threshold, and its value is the core index for subsequent judgment of whether the fuel consumption is within the normal range.

[0170] Further, the total measurement times are a fixed number of times set in advance before measuring the net fuel consumption, which is 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, and the number of times is counted after each measurement, until the total measurement times set is reached.

[0171] Further, the net fuel consumption of the first measurement is the result of the temperature compensation module processing the fuel flow data and temperature data collected for the first time, specifically, the temperature error is eliminated by temperature-density coupling compensation, and then the mass flow data is integrated in time domain to obtain, and the corresponding net fuel consumption is stored after each measurement, and is marked as the first, second, and so on according to the measurement order. Further, the preset fuel consumption threshold 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, which is used as a reference standard for judging whether the net fuel consumption of single measurement is normal.

[0172] Further, the meaning of the formula is to calculate the average value of the relative deviation of the net fuel consumption of multiple measurements from the preset fuel consumption threshold, which comprehensively reflects the overall deviation degree of the net fuel consumption from the reference value in the multiple measurement process, avoids the influence of the contingency of single measurement deviation on the judgment result, and provides objective and comprehensive quantitative basis for evaluating whether the fuel consumption of the ship is stable and whether there is abnormal consumption.

[0173] Further, when the net fuel consumption of multiple measurements is close to the preset fuel consumption threshold as a whole, the absolute value of the relative deviation calculated each time is small, the sum after accumulation is also small, and the cumulative deviation value obtained by dividing the total measurement times is small, indicating that the overall fuel consumption is stable and meets the reference requirements; when the net fuel consumption of multiple measurements 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 sum after accumulation will increase, and the value of the cumulative deviation will also increase accordingly, indicating that the fuel consumption has obvious fluctuations or abnormalities, which needs to be further investigated.

[0174]

[0175] ​​​Overall, obtaining time sequence measurement data of net fuel consumption within a preset time can rely on oil consumption data of continuous time periods for analysis, avoid the contingency of relying only on single measurement data for abnormality determination, ensure that subsequent abnormality determination is based on continuous and complete oil consumption change trends, and provide data support for accurately identifying continuous over-threshold conditions.

[0176] Overall, calculating cumulative deviation amount based on time sequence measurement data according to a formula, and through comprehensive relative deviation average of multiple measurement values and a preset oil consumption threshold, can comprehensively reflect the degree of overall deviation of oil consumption from a reference within a preset time, avoid single deviation interference determination, make abnormality determination more objective and reliable, and solve the problem of easy misjudgment and missed judgment of simple comparison of single data.

[0177] Overall, when the cumulative deviation amount exceeds a preset deviation threshold, an oil consumption abnormality identifier is generated, which can clearly define the abnormality determination standard, ensure that an abnormality prompt is triggered only when the overall deviation degree of oil consumption exceeds the allowed range, avoid excessive early warning, and timely capture real continuous oil consumption abnormalities, thereby providing accurate abnormality trigger signals for subsequent energy efficiency evaluation and remote monitoring.

[0178] The energy efficiency evaluation analysis module 105 is configured to respond to the oil 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 an energy efficiency analysis result of the ship.

[0179] In the embodiment of the present application, when the energy efficiency evaluation analysis module responds to the oil 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 an energy efficiency analysis result of the ship, it is specifically used for:

[0180] When the oil consumption abnormality identifier appears, the net fuel consumption and the real-time sailing state of the ship in the current time interval are obtained.

[0181] The net fuel consumption and the speed information in the real-time sailing state of the ship are correspondingly associated to obtain an energy efficiency evaluation data set of the ship.

[0182] The energy efficiency evaluation data set is matched with a predefined energy efficiency level interval to obtain an energy efficiency level of the ship.

[0183] An energy efficiency analysis result containing an energy efficiency level identifier and energy efficiency improvement suggestions is generated according to the energy efficiency level.

[0184] Specifically, when the oil 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 period traced back from the time when the oil consumption anomaly identifier is generated. The time period 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.

[0185] 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 provided 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 state information, etc., to ensure that the obtained data are completely consistent in time range.

[0186] 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 speed information corresponding to the time point to form 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.

[0187] 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.

[0188] Further, the predefined 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.

[0189] 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.

[0190] 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 predefined energy efficiency level interval to count the number of data falling into each interval. The energy efficiency level corresponding to the interval with the most number is taken as the overall energy efficiency level of the ship.

[0191] Further, the energy efficiency evaluation analysis module generates a corresponding energy efficiency level identifier according to the determined energy efficiency level. The identifier adopts the form of combination of words and symbols.

[0192] Further, the module matches the energy efficiency level with a pre-stored energy efficiency improvement recommendation library, each level in the library corresponding to specific improvement measures.

[0193] Further, the module integrates the energy efficiency level identifier with the corresponding energy efficiency improvement recommendation into a structured report, which also contains information such as the time interval of the evaluation, key data samples, etc. This report is the energy efficiency analysis result of the ship, which is generated and simultaneously sent to the ship management system and the cockpit display terminal.

[0194] In summary, when the fuel consumption abnormal identifier appears, the net fuel consumption in the current time interval and the real-time sailing state of the ship 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.

[0195] 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 dataset, which can establish a direct correlation between "fuel consumption-speed", make the energy efficiency evaluation focus on the actual sailing conditions of the ship, avoid the one-sidedness of analyzing fuel consumption separately from speed, and make the evaluation dataset truly reflect the matching situation of fuel use efficiency and sailing state.

[0196] In summary, the energy efficiency evaluation dataset 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 judgment based on the pre-defined level interval that meets the ship design standards and industry specifications, avoids subjective judgment bias, ensures the comparability of energy efficiency levels in different periods and under different conditions, and accurately quantifies the fuel use efficiency level.

[0197] 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 not only intuitively present the energy efficiency state through the level identifier, but also combine the level matching with targeted improvement measures to avoid the problem of only outputting results without optimization guidance, provide clear fuel consumption optimization direction for ship operators, help improve fuel use efficiency, and provide practical reference for subsequent management decisions of the remote monitoring platform.

[0198] 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.

[0199] 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:

[0200] The energy efficiency analysis result and the maintenance decision suggestion are data encapsulated to obtain the standardized transmission data packet of the ship.

[0201] sending the standardized transmission data packet to a remote monitoring platform through a ship communication channel.

[0202] Specifically, a fixed data packet packaging 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 core content. The data verification field is used to verify the integrity of data transmission.

[0203] Further, the module first calls the energy efficiency analysis results generated by the energy efficiency evaluation and analysis module, and according to the maintenance decision suggestion matched with the energy efficiency level, the energy efficiency level identification, the evaluation time interval, the key data sample in the energy efficiency analysis results and the specific improvement measures in the maintenance decision suggestion are integrated into the data body content.

[0204] Further, the data header is generated according to the preset format, and the unique identification code of the current ship, the generation time of the energy efficiency analysis results, and the data type identification of “energy efficiency evaluation data” are filled in the header.

[0205] Further, finally, the overall verification value of the data body and the data header is calculated, filled into the data verification field, and the data header, data body, and data verification field are combined in order to form a data unit with complete structure and conforming to the transmission standard, that is, the standardized transmission data packet of the ship.

[0206] Further, the ship communication channel is a special communication link for data transmission between the ship and the remote monitoring platform, which is pre-built. The link supports data transmission according to specific communication protocols, 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.

[0207] 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.

[0208] 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, and completes the data transmission process.

[0209] 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.

[0210] 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.

[0211] Referring to Figure 2 The ship oil consumption whole-process online monitoring method provided by the embodiment includes the following steps.

[0212] S1. Real-time collection of fuel flow data and fuel temperature data of the ship;

[0213] 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;

[0214] 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;

[0215] 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;

[0216] S5. Energy efficiency level evaluation of the 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;

[0217] S6. Transmission of the energy efficiency analysis result to a remote monitoring platform through a ship communication unit.

[0218] For those skilled in the art, it is obvious that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0219] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. Artificial intelligence is the use of digital computers or computer-controlled machines to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0220] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application but 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 fuel flow data and fuel temperature data of the ship in real time. The data regularization module is configured to regularize the fuel flow data and the fuel temperature data to obtain standardized flow data set and temperature data set. The temperature compensation module is configured to compensate the volume flow data in the flow data set based on the real-time fuel temperature value in the temperature data set, eliminate the fuel volume expansion and contraction error caused by temperature change, and obtain the net fuel consumption of the ship, including: extracting the real-time fuel temperature value and the corresponding volume flow data from the temperature data set; performing outlier filtering on the real-time fuel temperature value to obtain preprocessed temperature data of the ship; extracting the mapping relationship between fuel density and fuel temperature in the ship; calculating the real-time fuel density value of the ship based on the mapping relationship between fuel density and fuel temperature and the preprocessed temperature data, wherein 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;​​ compensating the volume flow data based on the real-time fuel density value to obtain the mass flow data of the ship, including: performing density compensation processing on the real-time fuel density value and the volume flow data to obtain intermediate mass flow data of the ship; obtaining the standard fuel density and the corresponding flow correction factor of the ship under stable working conditions; correcting the intermediate mass flow data based on the standard fuel density and the flow correction factor to obtain the mass flow data of the ship; performing time domain integration on the mass flow data 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 respond to the oil consumption anomaly identifier, evaluate the fuel use efficiency based on the net fuel consumption and the real-time sailing state of the ship, and obtain the 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 the data acquisition module acquires fuel flow data and fuel temperature data of the ship in real time, it 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 the data regularization module regularizes the fuel flow data and the fuel temperature data to obtain standardized flow data set and 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.

4. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, The oil consumption anomaly monitoring module is specifically configured to: obtain time sequence measurement data of the net fuel consumption within a preset time; calculate a cumulative deviation amount of the net fuel consumption from the preset oil consumption threshold based on the time sequence measurement data, wherein a 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 of the measurement, is the preset fuel consumption threshold. generate an oil consumption anomaly identifier of the ship when the cumulative deviation amount exceeds a preset deviation threshold.

5. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, The energy efficiency evaluation analysis module is specifically configured to: obtain the net fuel consumption and a real-time sailing state of the ship within a current time interval when the oil consumption anomaly identifier appears; correspondingly associate the net fuel consumption with speed information in the real-time sailing state of the ship to obtain an energy efficiency evaluation data set of the ship; match the energy efficiency evaluation data set with predefined energy efficiency level intervals to obtain an energy efficiency level of the ship; generate an energy efficiency analysis result including an energy efficiency level identifier and energy efficiency improvement suggestions according to the energy efficiency level.

6. The ship fuel oil consumption full-process online monitoring system according to claim 1, characterized in that, The data communication reporting module is specifically configured to: encapsulate the energy efficiency analysis result and maintenance decision suggestions to obtain a standardized transmission data packet of the ship; send the standardized transmission data packet to a remote monitoring platform through a ship communication channel.

7. A method for online monitoring of the whole process of ship oil consumption, characterized in that, The method 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 standardized temperature data set; S3. Temperature-density coupling compensation of volume flow data in the flow data set based on a real-time fuel temperature value in the temperature data set, and elimination of fuel volume expansion and contraction errors caused by temperature changes to obtain a net fuel consumption of the ship, comprising: extracting the real-time fuel temperature value and corresponding volume flow data in the temperature data set; abnormal value filtering of the real-time fuel temperature value to obtain preprocessed temperature data of the ship; extracting a mapping relationship between fuel density and fuel temperature in the ship; calculating a 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, wherein a 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;​​ density compensation of the volume flow data based on the real-time fuel density value to obtain mass flow data of the ship, comprising: 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; A standard fuel density and a corresponding flow correction factor of the ship under a stable working condition are obtained; The intermediate mass flow data is corrected based on the standard fuel density and the flow correction factor to obtain mass flow data of the ship; The mass flow data is subjected to time domain integration to obtain net fuel consumption of the ship; S4. The net fuel consumption is compared with a preset fuel consumption threshold in real time, and an abnormal fuel consumption identifier of the ship is generated if the net fuel consumption continuously exceeds the preset fuel consumption threshold; S5. In response to the abnormal fuel consumption identifier, fuel use efficiency is evaluated in terms of energy efficiency level in combination with the net fuel consumption and a 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 channel.

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