Ship operation state monitoring and energy consumption optimization method and system based on video recognition

Abstract

The invention discloses a ship operation state monitoring and energy consumption optimization method and system based on video recognition, and the method comprises the steps: obtaining the operation state information and environment information of a ship in the Yangtze River, the running state information comprises the maximum energy consumption of the Yangtze River ship, the navigational speed of the Yangtze River ship, the energy conversion efficiency, the initial efficiency of a power system, the maximum navigational speed, the current load and the optimal load, and the environment information comprises the wind speed, the water flow speed and the environment temperature; setting a Yangtze River ship energy consumption estimation model, and calculating the estimated energy consumption of the Yangtze River ship according to the operation state information and the environment information, the Yangtze River ship energy consumption estimation model further comprising: calculating the energy conversion efficiency of the Yangtze River ship; and adjusting the running state of the Yangtze River ship to enable the estimated energy consumption of the Yangtze River ship to be closest to the preset acceptable energy consumption, thereby completing energy consumption optimization control.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of Yangtze River ship energy consumption optimization, and more specifically relates to a ship running state monitoring and energy consumption optimization method and system based on video recognition. BACKGROUND

[0002] New energy ships are becoming an important development direction in the global shipping industry, especially in addressing environmental challenges and reducing carbon emissions. Here are some main features and trends of new energy ships:

[0003] Electric ships: Electric ships use batteries for power, similar to electric cars. The power source of the ship is usually lithium batteries, solid-state batteries or other advanced battery technologies

[0004] Hydrogen fuel cell ships: Hydrogen fuel cell ships use hydrogen and oxygen to generate electricity to drive the motor, and the only byproduct of emission is water.

[0005] Solar ships: Solar ships use solar panels to convert sunlight into electricity for driving the ship and powering equipment.

[0006] However, the current technical solutions are all from the physical level of the battery itself to optimize energy consumption (such as increasing battery capacity, improving battery efficiency, etc.), and there is no technical solution to optimize energy consumption at the control level. SUMMARY

[0007] To solve the above technical problems, the application provides a ship running state monitoring and energy consumption optimization method based on video recognition, which includes:

[0008] Obtain the running state information and environmental information of the Yangtze River ship, wherein the running state information includes the maximum energy consumption of the Yangtze River ship, the sailing speed of the Yangtze River ship, the energy conversion efficiency, the initial efficiency of the power system, the maximum sailing speed, the current load, and the optimal load, and the environmental information includes the wind speed, the water flow rate and the environmental temperature;

[0009] Set up a Yangtze River ship energy consumption estimation model, and calculate the estimated energy consumption of the Yangtze River ship according to the running state information and the environmental information, wherein the Yangtze River ship energy consumption estimation model further includes calculating the energy conversion efficiency of the Yangtze River ship;

[0010] Adjust the running state of the Yangtze River ship to make the estimated energy consumption of the Yangtze River ship closest to the preset acceptable energy consumption, thereby completing the energy consumption optimization control.

[0011] Further, the Yangtze River ship energy consumption estimation model includes:

[0012]

[0013] wherein E prop is the estimated energy consumption of the Yangtze River ship, E max is the maximum energy consumption of the Yangtze River ship, λ1is the first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the speed of the Yangtze River ship, μ1is the second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1is the third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2is the fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2is the fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2is the sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

[0014] Further, the energy conversion efficiency η prop includes:

[0015]

[0016] wherein η0is the initial efficiency of the power system, v max is the maximum speed, α3is the first adjustment factor of the energy conversion efficiency, α4is the second adjustment factor of the energy conversion efficiency, ζ is the third adjustment factor of the energy conversion efficiency, L is the current load, L opt is the optimal load, ∈ is the fourth adjustment factor of the energy conversion efficiency, and Θ is the environmental impact factor on energy consumption.

[0017] Further, the environmental impact factor Θ on energy consumption includes:

[0018]

[0019] wherein α5is the first adjustment factor of the environmental impact factor on energy consumption, γ1is the second adjustment factor of the environmental impact factor on energy consumption, α6is the third adjustment factor of the environmental impact factor on energy consumption, α7is the fourth adjustment factor of the environmental impact factor on energy consumption, β1is the fifth adjustment factor of the environmental impact factor on energy consumption, Wave(w, f) is the wave intensity based on the wind speed w and the water flow speed f, α8is the sixth adjustment factor of the environmental impact factor on energy consumption, T is the environmental temperature, δ is the seventh adjustment factor of the environmental impact factor on energy consumption, and A is the area of the space region.

[0020] Further, the wave intensity Wave(w, f) based on the wind speed w and the water flow speed f includes:

[0021]

[0022] wherein β2is the first adjustment factor of the wave intensity, γ2is the second adjustment factor of the wave intensity, δ' is the third adjustment factor of the wave intensity, β3is the fourth adjustment factor of the wave intensity, γ3is the fifth adjustment factor of the wave intensity, and ∈' is the sixth adjustment factor of the wave intensity.

[0023] Further, the predicted energy consumption E of the Yangtze River ship is respectively fitted with the real value of the energy conversion efficiency η prop , the wave intensity Wave (w, f) and the corresponding real value until all the iteration times are completed. prop

[0024] Further, all the adjustment factors are fitted by the least square method or the ant colony algorithm.

[0025] Further, the video information of the past ship is acquired by the intelligent card mouth, the ship image in the video information is extracted, the appearance feature and the ship type of the ship in the ship image are recognized, and the identity information of the ship is confirmed by the AIS system.

[0026] The application further provides a ship running state real-time monitoring system based on video recognition, comprising:

[0027] An information acquisition module is configured to acquire running state information and environment information of the Yangtze River ship, wherein the running state information comprises the maximum energy consumption of the Yangtze River ship, the speed of the Yangtze River ship, the energy conversion efficiency, the initial efficiency of the power system, the maximum speed, the current load and the optimal load, and the environment information comprises the wind speed, the water flow rate and the environmental temperature.

[0028] A model setting module is configured to set a Yangtze River ship energy consumption estimation model, and calculate the estimated energy consumption of the Yangtze River ship according to the running state information and the environment information, wherein the Yangtze River ship energy consumption estimation model further comprises calculating the energy conversion efficiency of the Yangtze River ship.

[0029] An optimization module is configured to adjust the running state of the Yangtze River ship so that the estimated energy consumption of the Yangtze River ship is closest to the preset acceptable energy consumption, thereby completing energy consumption optimization control.

[0030] Further, the Yangtze River ship energy consumption estimation model comprises:

[0031]

[0032] Wherein, E prop is the estimated energy consumption of the Yangtze River ship, E max is the maximum energy consumption of the Yangtze River ship, λ1 is the first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the speed of the Yangtze River ship, μ1 is the second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1 is the third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2 is the fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2 is the fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2 is the sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

[0033] ​Compared with the prior art, the above technical scheme conceived by the present application has the following beneficial effects in general:

[0034] Through the technical scheme of the present application, the energy consumption of the Yangtze River ship during operation can be optimized, thereby improving the sailing efficiency of the ship and reducing the cost. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is a method flowchart of embodiment 1 of the present application.

[0036] Figure 2 is a system structure diagram of embodiment 2 of the present application. DETAILED DESCRIPTION

[0037] In order to better understand the above technical scheme, the above technical scheme will be described in detail below in combination with the drawings in the specification and the specific implementation.

[0038] The method provided by the present application can be implemented in a terminal environment, which can include one or more of the following components: a processor, a storage medium and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0039] The processor can include one or more processing cores. The processor connects various parts in the entire terminal through various interfaces and lines, executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0040] The storage medium can include random access memory (RAM) and read-only memory (ROM). The storage medium can be used to store instructions, programs, codes, code sets or instructions.

[0041] The display screen is used to display the user interface of each application program.

[0042] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal can include more or fewer components, or combine certain components, or different component arrangements. For example, the terminal also includes radio frequency circuit, input unit, sensor, audio circuit, power supply and other components, which will not be described here.

[0043] Embodiment 1

[0044] As shown in Figure 1 , the present embodiment proposes a ship running state monitoring and energy consumption optimization method based on video recognition, which comprises:

[0045] In step 101, the running state information and the environment information of the Yangtze River ship are acquired, wherein the running state information includes the maximum energy consumption of the Yangtze River ship, the sailing speed of the Yangtze River ship, the energy conversion efficiency, the initial efficiency of the power system, the maximum sailing speed, the current load and the optimal load, and the environment information includes the wind speed, the water flow speed and the environment temperature.

[0046] In step 102, the Yangtze River ship energy consumption estimation model is set, and the estimated energy consumption of the Yangtze River ship is calculated according to the running state information and the environment information, wherein the Yangtze River ship energy consumption estimation model further includes calculating the energy conversion efficiency of the Yangtze River ship.

[0047] Specifically, the Yangtze River ship energy consumption estimation model includes:

[0048]

[0049] Wherein, E prop is the estimated energy consumption of the Yangtze River ship, E max is the maximum energy consumption of the Yangtze River ship, λ1 is the first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the sailing speed of the Yangtze River ship, μ1 is the second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1 is the third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2 is the fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2 is the fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2 is the sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

[0050] Specifically, the energy conversion efficiency η prop includes:

[0051]

[0052] Wherein, η0 is the initial efficiency of the power system, v max is the maximum sailing speed, α3 is the first adjustment factor of the energy conversion efficiency, α4 is the second adjustment factor of the energy conversion efficiency, ζ is the third adjustment factor of the energy conversion efficiency, L is the current load, L opt is the optimal load, ∈ is the fourth adjustment factor of the energy conversion efficiency, and Θ is the influence factor of the environment on the energy consumption.

[0053] Specifically, the influence factor Θ of the environment on the energy consumption includes:

[0054]

[0055] Among them, α5 is the first adjustment factor of the environmental impact factor on energy consumption, γ1 is the second adjustment factor of the environmental impact factor on energy consumption, α6 is the third adjustment factor of the environmental impact factor on energy consumption, α7 is the fourth adjustment factor of the environmental impact factor on energy consumption, β1 is the fifth adjustment factor of the environmental impact factor on energy consumption, Wave(w,f) is the wave intensity based on wind speed w and water flow velocity f, α8 is the sixth adjustment factor of the environmental impact factor on energy consumption, T is the ambient temperature, δ is the seventh adjustment factor of the environmental impact factor on energy consumption, and A is the area of ​​the spatial region.

[0056] Specifically, the wave intensity Wave(w, f) based on wind speed w and water flow speed f includes:

[0057]

[0058] Among them, β2 is the first adjustment factor of wave intensity, γ2 is the second adjustment factor of wave intensity, δ′ is the third adjustment factor of wave intensity, β3 is the fourth adjustment factor of wave intensity, γ3 is the fifth adjustment factor of wave intensity, and ∈′ is the sixth adjustment factor of wave intensity.

[0059] Specifically, the predicted energy consumption E of Yangtze River ships is prop , energy conversion efficiency η prop , the wave intensity Wave(w,f) is fitted with the corresponding true value until all iterations are completed.

[0060] Specifically, all adjustment factors are fitted by least square method or ant colony algorithm.

[0061] Preferably, in this embodiment, video information of passing ships is obtained through a smart card port, the ship image in the video information is extracted, and the appearance features and ship type of the ship in the ship image are identified, and the identity information of the ship is confirmed through the AIS system, wherein the appearance features and ship type of the ship in the ship image are identified based on a deep learning model (such as YOLOv8, DeepSORT).

[0062] Step 103, adjusting the operating state of the Yangtze River vessel so that the estimated energy consumption of the Yangtze River vessel is closest to the preset acceptable energy consumption, thereby completing energy consumption optimization control.

[0063] Example 2

[0064] like Figure 2 As shown, an embodiment of the present invention further provides a real-time monitoring system for ship operation status based on video recognition, comprising:

[0065] An acquisition module is configured to acquire running state information and environment information of the Yangtze River ship, wherein the running state information includes maximum energy consumption of the Yangtze River ship, speed of the Yangtze River ship, energy conversion efficiency, initial efficiency of a power system, maximum speed, current load and optimal load, and the environment information includes wind speed, water flow speed and environment temperature.

[0066] A setting module is configured to set a Yangtze River ship energy consumption estimation model, and calculate estimated energy consumption of the Yangtze River ship according to the running state information and the environment information, wherein the Yangtze River ship energy consumption estimation model further includes calculation of the energy conversion efficiency of the Yangtze River ship.

[0067] Specifically, the Yangtze River ship energy consumption estimation model includes:

[0068]

[0069] wherein E prop is the estimated energy consumption of the Yangtze River ship, E max is the maximum energy consumption of the Yangtze River ship, λ1 is a first adjustment factor of the Yangtze River ship energy consumption estimation model, v is the speed of the Yangtze River ship, μ1 is a second adjustment factor of the Yangtze River ship energy consumption estimation model, α1 is a third adjustment factor of the Yangtze River ship energy consumption estimation model, λ2 is a fourth adjustment factor of the Yangtze River ship energy consumption estimation model, η prop is the energy conversion efficiency, μ2 is a fifth adjustment factor of the Yangtze River ship energy consumption estimation model, and α2 is a sixth adjustment factor of the Yangtze River ship energy consumption estimation model.

[0070] Specifically, the energy conversion efficiency η prop includes:

[0071]

[0072] wherein η0 is the initial efficiency of the power system, v max is the maximum speed, α3 is a first adjustment factor of the energy conversion efficiency, α4 is a second adjustment factor of the energy conversion efficiency, ζ is a third adjustment factor of the energy conversion efficiency, L is the current load, L opt is the optimal load, ∈ is a fourth adjustment factor of the energy conversion efficiency, and Θ is an environment impact factor on energy consumption.

[0073] Specifically, the environment impact factor Θ on energy consumption includes:

[0074]

[0075] Wherein, a5 is a first adjustment factor of the environmental impact factor on energy consumption, g1 is a second adjustment factor of the environmental impact factor on energy consumption, a6 is a third adjustment factor of the environmental impact factor on energy consumption, a7 is a fourth adjustment factor of the environmental impact factor on energy consumption, b1 is a fifth adjustment factor of the environmental impact factor on energy consumption, Wave(w, f) is the wave intensity based on the wind speed w and the water flow speed f, a8 is a sixth adjustment factor of the environmental impact factor on energy consumption, T is the environmental temperature, and d is a seventh adjustment factor of the environmental impact factor on energy consumption.

[0076] Specifically, the wave intensity Wave(w, f) based on the wind speed w and the water flow speed f comprises:

[0077]

[0078] Wherein, b2 is a first adjustment factor of the wave intensity, g2 is a second adjustment factor of the wave intensity, d' is a third adjustment factor of the wave intensity, b3 is a fourth adjustment factor of the wave intensity, g3 is a fifth adjustment factor of the wave intensity, and e' is a sixth adjustment factor of the wave intensity.

[0079] Specifically, the predicted energy consumption E of the Yangtze River ship is fitted with the corresponding real value respectively. prop , the energy conversion efficiency η prop , and the wave intensity Wave(w, f) until the number of iterations is completed.

[0080] Specifically, all the adjustment factors are fitted by the least square method or the ant colony algorithm.

[0081] The optimization module is used for adjusting the running state of the Yangtze River ship, so that the estimated energy consumption of the Yangtze River ship is closest to the preset acceptable energy consumption, thereby completing the energy consumption optimization control.

[0082] Embodiment 3

[0083] The embodiment of the present application also proposes a storage medium which stores a plurality of instructions for realizing the ship running state monitoring and energy consumption optimization method based on video recognition.

[0084] Optionally, in the present embodiment, the above-mentioned storage medium can be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.

[0085] Optionally, in the embodiment, the storage medium is configured to store program code for performing the following steps: step 101, obtaining running state information and environment information of the Yangtze River ship, wherein the running state information comprises maximum energy consumption of the Yangtze River ship, sailing speed of the Yangtze River ship, energy conversion efficiency, initial efficiency of the power system, maximum sailing speed, current load, and optimal load, and the environment information comprises wind speed, water flow speed, and environment temperature;

[0086] Step 102, setting a Yangtze River ship energy consumption estimation model, and calculating estimated energy consumption of the Yangtze River ship according to the running state information and the environment information, wherein the Yangtze River ship energy consumption estimation model further comprises calculating energy conversion efficiency of the Yangtze River ship.

[0087] Specifically, the Yangtze River ship energy consumption estimation model comprises:

[0088]

[0089] wherein E prop is the estimated energy consumption of the Yangtze River ship, E max is the maximum energy consumption of the Yangtze River ship, λ1 is a first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the sailing speed of the Yangtze River ship, μ1 is a second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1 is a third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2 is a fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2 is a fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2 is a sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

[0090] Specifically, the energy conversion efficiency η prop comprises:

[0091]

[0092] wherein η0 is the initial efficiency of the power system, v max is the maximum sailing speed, α3 is a first adjustment factor of the energy conversion efficiency, α4 is a second adjustment factor of the energy conversion efficiency, ζ is a third adjustment factor of the energy conversion efficiency, L is the current load, L opt is the optimal load, ∈ is a fourth adjustment factor of the energy conversion efficiency, and Θ is an environmental influence factor on energy consumption.

[0093] Specifically, the environmental influence factor Θ on energy consumption comprises:

[0094]

[0095] Wherein, a5 is a first adjustment factor of the environmental impact factor on energy consumption, g1 is a second adjustment factor of the environmental impact factor on energy consumption, a6 is a third adjustment factor of the environmental impact factor on energy consumption, a7 is a fourth adjustment factor of the environmental impact factor on energy consumption, b1 is a fifth adjustment factor of the environmental impact factor on energy consumption, Wave(w, f) is the wave intensity based on the wind speed w and the water flow speed f, a8 is a sixth adjustment factor of the environmental impact factor on energy consumption, T is the environmental temperature, and d is a seventh adjustment factor of the environmental impact factor on energy consumption.

[0096] Specifically, the wave intensity Wave(w, f) based on the wind speed w and the water flow speed f includes:

[0097]

[0098] Wherein, b2 is a first adjustment factor of the wave intensity, g2 is a second adjustment factor of the wave intensity, d' is a third adjustment factor of the wave intensity, b3 is a fourth adjustment factor of the wave intensity, g3 is a fifth adjustment factor of the wave intensity, and e' is a sixth adjustment factor of the wave intensity.

[0099] Specifically, the predicted energy consumption E of the Yangtze River ship is adjusted by the following formula: prop , the energy conversion efficiency η prop , and the wave intensity Wave(w, f) are fitted with the corresponding true values respectively until the number of iterations is completed.

[0100] Specifically, all the adjustment factors are fitted by the least square method or the ant colony algorithm.

[0101] Step 103, the running state of the Yangtze River ship is adjusted to make the predicted energy consumption of the Yangtze River ship closest to the preset acceptable energy consumption, so as to complete the energy consumption optimization control.

[0102] Embodiment 4

[0103] The embodiment of the application also provides an electronic device, which comprises a processor and a storage medium connected with the processor, the storage medium stores a plurality of instructions, the instructions can be loaded and executed by the processor, so that the processor can execute the ship running state monitoring and energy consumption optimization method based on video recognition.

[0104] Specifically, the electronic device of the embodiment can be a computer terminal, which can comprise one or more processors and a storage medium.

[0105] The storage medium can be used to store software programs and modules, such as a kind of ship running state monitoring and energy consumption optimization method based on video recognition in the embodiment of the present application, corresponding program instruction / module, processor runs the software program and module stored in the storage medium, thereby executing various functional applications and data processing, i.e. the above-mentioned one kind of ship running state monitoring and energy consumption optimization method based on video recognition. The storage medium can include high-speed random storage medium, and can also include non-volatile storage medium, such as one or more magnetic storage systems, flash memory or other non-volatile solid-state storage medium. In some examples, the storage medium can further include storage medium remotely arranged relative to the processor, which can be connected to the terminal through a network. Examples of the above-mentioned network include but are not limited to the Internet, intranet, local area network, mobile communication network and combination thereof.

[0106] The processor can call the information and application programs stored in the storage medium through the transmission system to execute the following steps: step 101, obtaining the running state information and environment information of the Yangtze River ship, wherein the running state information includes: the maximum energy consumption of the Yangtze River ship, the sailing speed of the Yangtze River ship, the energy conversion efficiency, the initial efficiency of the power system, the maximum sailing speed, the current load, the optimal load, and the environment information includes: wind speed, water flow rate and environment temperature;

[0107] Step 102, setting the Yangtze River ship energy consumption estimation model, and calculating the estimated energy consumption of the Yangtze River ship according to the running state information and the environment information, wherein the Yangtze River ship energy consumption estimation model further includes: calculating the energy conversion efficiency of the Yangtze River ship;

[0108] Specifically, the Yangtze River ship energy consumption estimation model includes:

[0109]

[0110] Wherein, E prop E is the estimated energy consumption of the Yangtze River ship, E max is the maximum energy consumption of the Yangtze River ship, λ1 is the first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the sailing speed of the Yangtze River ship, μ1 is the second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1 is the third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2 is the fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2 is the fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2 is the sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

[0111] Specifically, the energy conversion efficiency η prop includes:

[0112]

[0113] wherein η0 is an initial efficiency of the power system, v max is the maximum speed, α3 is a first adjustment factor of the energy conversion efficiency, α4 is a second adjustment factor of the energy conversion efficiency, ζ is a third adjustment factor of the energy conversion efficiency, L is the current load, L opt is the optimal load, ∈ is a fourth adjustment factor of the energy conversion efficiency, Θ is an environmental impact factor on energy consumption.

[0114] Specifically, the environmental impact factor Θ on energy consumption includes:

[0115]

[0116] wherein α5 is a first adjustment factor of the environmental impact factor on energy consumption, γ1 is a second adjustment factor of the environmental impact factor on energy consumption, α6 is a third adjustment factor of the environmental impact factor on energy consumption, α7 is a fourth adjustment factor of the environmental impact factor on energy consumption, β1 is a fifth adjustment factor of the environmental impact factor on energy consumption, Wave(w, f) is a wave intensity based on a wind speed w and a water flow speed f, α8 is a sixth adjustment factor of the environmental impact factor on energy consumption, T is an environmental temperature, δ is a seventh adjustment factor of the environmental impact factor on energy consumption, and A is an area of a space region.

[0117] Specifically, the wave intensity Wave(w, f) based on the wind speed w and the water flow speed f includes:

[0118]

[0119] wherein β2 is a first adjustment factor of the wave intensity, γ2 is a second adjustment factor of the wave intensity, δ' is a third adjustment factor of the wave intensity, β3 is a fourth adjustment factor of the wave intensity, γ3 is a fifth adjustment factor of the wave intensity, ∈' is a sixth adjustment factor of the wave intensity.

[0120] Specifically, the predicted energy consumption E prop , the energy conversion efficiency η prop , and the wave intensity Wave(w, f) of the Yangtze River ship are fitted with the corresponding true values respectively until a number of iterations is completed.

[0121] Specifically, all the adjustment factors are fitted by a least square method or an ant colony algorithm.

[0122] In step 103, the running state of the Yangtze River ship is adjusted so that the predicted energy consumption of the Yangtze River ship is closest to the preset acceptable energy consumption, thereby completing the energy consumption optimization control.

[0123] The above-mentioned sequence numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0124] In the above-mentioned embodiments of the present application, the description of each embodiment focuses on different aspects, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0125] In several embodiments provided by the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the embodiments described above are merely schematic, for example, the division of units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, and can be electrical or other forms.

[0126] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place or distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0127] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or software functional unit.

[0128] The integrated unit, if realized in the form of software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the essential part or all or part of the technical solutions which make contributions to the prior art can be embodied in the form of software product, and the computer software product is stored in a storage medium, including a plurality of instructions for making a computer equipment (personal computer, server or network equipment, etc.) execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and various program code storage media.

[0129] Obviously, the above embodiments are merely example for clearly illustrating but not limitation to the embodiments. Based on the above description, other different forms of changes or variations can be made by those skilled in the art. Here, all the embodiments need not and can not be enumerated. The obvious changes or variations derived from the above description are still within the protection scope of the present application.

Claims

1. A method for monitoring ship operation status and optimizing energy consumption based on video recognition, which is used for monitoring ship operation status and optimizing energy consumption, and is characterized in that: include: Obtaining operating status information and environmental information of the Yangtze River vessel, wherein the operating status information includes: maximum energy consumption of the Yangtze River vessel, speed of the Yangtze River vessel, energy conversion efficiency, initial efficiency of the power system, maximum speed, current load, and optimal load; and the environmental information includes: wind speed, water flow rate, and ambient temperature; Setting a Yangtze River ship energy consumption estimation model, and calculating the estimated energy consumption of the Yangtze River ship based on the operating status information and the environmental information, wherein the Yangtze River ship energy consumption estimation model further includes: calculating the energy conversion efficiency of the Yangtze River ship; Adjust the operating status of Yangtze River ships so that the estimated energy consumption of Yangtze River ships is closest to the preset acceptable energy consumption, thereby completing energy consumption optimization control.

2. A method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 1, characterized in that: The Yangtze River ship energy consumption estimation model includes: Among them, E prop is the estimated energy consumption of ships on the Yangtze River, E max is the maximum energy consumption of the Yangtze River ships, λ1 is the first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the speed of the Yangtze River ships, μ1 is the second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1 is the third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2 is the fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2 is the fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2 is the sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

3. A method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 2, characterized in that: Energy conversion efficiency η prop include: Among them, η0 is the initial efficiency of the power system, v max is the maximum speed, α3 is the first adjustment factor of energy conversion efficiency, α4 is the second adjustment factor of energy conversion efficiency, ζ is the third adjustment factor of energy conversion efficiency, L is the current load, L opt is the optimal load, ∈ is the fourth adjustment factor of energy conversion efficiency, and Θ is the impact factor of the environment on energy consumption.

4. A method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 3, characterized in that: Environmental factors affecting energy consumption include: Among them, α5 is the first adjustment factor of the environmental impact factor on energy consumption, γ1 is the second adjustment factor of the environmental impact factor on energy consumption, α6 is the third adjustment factor of the environmental impact factor on energy consumption, α7 is the fourth adjustment factor of the environmental impact factor on energy consumption, β1 is the fifth adjustment factor of the environmental impact factor on energy consumption, Wave(w, f) is the wave intensity based on wind speed w and water flow velocity f, α8 is the sixth adjustment factor of the environmental impact factor on energy consumption, T is the ambient temperature, δ is the seventh adjustment factor of the environmental impact factor on energy consumption, and A is the area of ​​the spatial region.

5. A method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 4, characterized in that: The wave intensity Wave(w,f) based on wind speed w and water velocity f includes: Among them, β2 is the first adjustment factor of wave intensity, γ2 is the second adjustment factor of wave intensity, δ′ is the third adjustment factor of wave intensity, β3 is the fourth adjustment factor of wave intensity, γ3 is the fifth adjustment factor of wave intensity, and ∈′ is the sixth adjustment factor of wave intensity.

6. A method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 5, characterized in that: The predicted energy consumption E of Yangtze River ships is prop , energy conversion efficiency η prop , the wave intensity Wave(w,f) is fitted with the corresponding true value until all iterations are completed.

7. A method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 6, characterized in that: All adjustment factors are fitted using the least squares method or ant colony algorithm.

8. The method for monitoring ship operation status and optimizing energy consumption based on video recognition according to claim 1, characterized in that: Also includes: The intelligent card port is used to obtain video information of passing ships, extract the ship image in the video information, identify the appearance features and type of the ship in the ship image, and confirm the identity information of the ship through the AIS system.

9. A real-time monitoring system for ship operation status based on video recognition, characterized in that: include: An information acquisition module is used to obtain operating status information and environmental information of the Yangtze River vessel, wherein the operating status information includes: the maximum energy consumption of the Yangtze River vessel, the speed of the Yangtze River vessel, the energy conversion efficiency, the initial efficiency of the power system, the maximum speed, the current load, and the optimal load; the environmental information includes: wind speed, water flow rate, and ambient temperature; A model module is provided for setting a Yangtze River ship energy consumption estimation model, and calculating the estimated energy consumption of the Yangtze River ship based on the operating status information and the environmental information, wherein the Yangtze River ship energy consumption estimation model further includes: calculating the energy conversion efficiency of the Yangtze River ship; The optimization module is used to adjust the operating status of the Yangtze River ships so that the estimated energy consumption of the Yangtze River ships is closest to the preset acceptable energy consumption, thereby completing energy consumption optimization control.

10. A real-time monitoring system for ship operation status based on video recognition according to claim 9, characterized in that: The Yangtze River ship energy consumption estimation model includes: Among them, E prop is the estimated energy consumption of ships on the Yangtze River, E max is the maximum energy consumption of the Yangtze River ships, λ1 is the first adjustment factor of the Yangtze River ship energy consumption monitoring model, v is the speed of the Yangtze River ships, μ1 is the second adjustment factor of the Yangtze River ship energy consumption monitoring model, α1 is the third adjustment factor of the Yangtze River ship energy consumption monitoring model, λ2 is the fourth adjustment factor of the Yangtze River ship energy consumption monitoring model, η prop is the energy conversion efficiency, μ2 is the fifth adjustment factor of the Yangtze River ship energy consumption monitoring model, and α2 is the sixth adjustment factor of the Yangtze River ship energy consumption monitoring model.

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