A method, device, equipment and medium for laying out shipboard cables

Abstract

The present application discloses a method, device, equipment and medium for arranging ship cables, and the present application belongs to the technical field of intelligent logistics equipment. The method comprises: obtaining the power consumption parameters of each cabin that needs to be configured with cables and the position of each cabin; inputting the power consumption parameters and position of each cabin into a pre-obtained big data model to output the segmentation result of the cabin and the cable operation demand data of each segment; determining the target cable and the joint position of each segment according to the cable operation demand data; generating a cable arrangement plan according to the target cable and the joint position of each segment. This scheme uses a big data model to obtain more accurate cable operation demand data and improve the accuracy of cable arrangement. Determining the target cable and the joint position of each segment according to the cable operation demand data can avoid potential failure risks during the cable arrangement process. At the same time, the cable arrangement plan is automatically generated and the cable arrangement is designed, which can improve the efficiency of cable arrangement.

Description

Technical Field

[0001] The present application belongs to the technical field of intelligent logistics equipment, and specifically relates to a method, device, equipment and medium for arranging ship cables. Background Art

[0002] With the rapid development of the shipping industry and the demand for ship electrification, marine cables have become an important part of transmitting power and information on ships. Marine cables can transmit the electrical energy generated by generators to various power equipment, such as lighting equipment, navigation equipment, and communication equipment, etc., to provide the required power for ships. They can also transmit various signals and realize data transmission of various control systems of ships. In this context, there is a study on the layout design of marine cables.

[0003] Traditional ship cable layout design is based on the experience and expertise of designers. Designers will consider the structure, layout and usage of the ship, and determine the location, specification requirements and reserved connectors of the cables according to the requirements of the electrical system.

[0004] However, in the prior art, the design of ship cable layout is artificially designed, so it lacks systematicity and scientificity. Moreover, the traditional cable layout design cannot make full use of modern technical means for optimization, which often leads to problems such as excessive use of cables, excessive weight and high power consumption. Therefore, how to use modern technical means to determine the segmentation method of the cable according to the hull's own conditions, and make a reasonable plan for the cable layout based on the segmentation method is an urgent problem to be solved in this field. Summary of the invention

[0005] The embodiments of the present application provide a method, device, equipment and medium for arranging marine cables, with the purpose of solving the problems in the prior art that the layout design of marine cables is artificially designed, which often leads to problems such as excessive use of cables, excessive weight and excessive power consumption, and lacks systematicity and scientificity. Through the method for arranging marine cables, more accurate cable operation demand data can be obtained using a big data model to improve the accuracy of cable arrangement. Determining the target cables and joint positions of each segment based on the cable operation demand data can avoid potential failure risks during the cable arrangement process. At the same time, automatically generating a cable arrangement plan and designing the cable arrangement can improve the efficiency of cable arrangement.

[0006] In a first aspect, an embodiment of the present application provides a method for arranging a shipboard cable, the method comprising:

[0007] Obtain the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin;

[0008] Input the power consumption parameters and positions of each cabin into the pre-obtained big data model to output the cabin segmentation results and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data and damage prevention grade data;

[0009] Determine the target cables and joint positions of each segment according to the cable operation demand data;

[0010] A cable arrangement plan is generated according to the target cables and joint positions of each segment.

[0011] Further, according to the cable operation demand data, the target cables and joint positions of each segment are determined, including:

[0012] Determine the cable laying channel of each segment according to the cable operation demand data;

[0013] According to the distance between the cable laying channel and the current cable laying channel to the target cabin, the target cable and the joint position in the cable laying channel are determined.

[0014] Further, according to the distance between the cable laying channel and the current cable laying channel to the target cabin, determining the target cable and the joint position in the cable laying channel includes:

[0015] Determine the trunk cable and the branch cable according to the distance between the cable laying channel and the current cable laying channel to the target cabin;

[0016] According to the distribution positions of the trunk cables and branch cables, the target cables and the joint positions in the cable laying channel are determined.

[0017] Furthermore, the training process of the big data model includes:

[0018] Obtaining the power consumption parameters and positions of each cabin and the determined cable segmentation parameters in the historical layout plan; wherein the cable segmentation parameters include the hull cable segmentation method and the master-slave relationship between the segments;

[0019] The power consumption parameters and positions of the cabins and the determined cable segmentation parameters are input into a pre-built basic model to perform supervised training on the model parameters of the basic model to obtain a big data model.

[0020] Furthermore, the cable operation requirement data in each segment is identified, including:

[0021] Identifying at least one of power consumption data, cabin structure data, and cabin usage data of each cabin in each section;

[0022] The cable operation demand data in the current section is determined based on at least one of the power consumption data, the cabin structure data and the cabin usage data.

[0023] Further, according to at least one of the power consumption data, the cabin structure data and the cabin use data, the cable operation demand data in the current segment is determined, including:

[0024] Determine the cable operating power data in the current section according to the power consumption data of each cabin in the current section during the peak power consumption period;

[0025] and / or,

[0026] According to the cabin structure data of each cabin in the current section, the cable operation damage prevention level data in the current section is determined;

[0027] and / or,

[0028] According to the usage data of each cabin in the current section, the cable operation safety data in the current section is determined.

[0029] In a second aspect, an embodiment of the present application provides a device for arranging a shipboard cable, the device comprising:

[0030] An acquisition module is used to acquire the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin;

[0031] An output module is used to input the power consumption parameters and positions of each cabin into a pre-obtained big data model to output the cabin segmentation results and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data and damage prevention grade data;

[0032] A determination module, used to determine the target cables and joint positions of each segment according to the cable operation demand data;

[0033] A generating module is used to generate a cable arrangement plan according to the target cables and connector positions of each segment.

[0034] Furthermore, the determining module is used to:

[0035] Determine the cable laying channel of each segment according to the cable operation demand data;

[0036] According to the distance between the cable laying channel and the current cable laying channel to the target cabin, the target cable and the joint position in the cable laying channel are determined.

[0037] Furthermore, the determining module is used to:

[0038] Determine the trunk cable and the branch cable according to the distance between the cable laying channel and the current cable laying channel to the target cabin;

[0039] According to the distribution positions of the trunk cables and branch cables, the target cables and the joint positions in the cable laying channel are determined.

[0040] Furthermore, the training process of the big data model includes:

[0041] Obtaining the power consumption parameters and positions of each cabin and the determined cable segmentation parameters in the historical layout plan; wherein the cable segmentation parameters include the hull cable segmentation method and the master-slave relationship between the segments;

[0042] The power consumption parameters and positions of the cabins and the determined cable segmentation parameters are input into a pre-built basic model to perform supervised training on the model parameters of the basic model to obtain a big data model.

[0043] Furthermore, the output module is used to:

[0044] Identifying at least one of power consumption data, cabin structure data, and cabin usage data of each cabin in each section;

[0045] The cable operation demand data in the current section is determined based on at least one of the power consumption data, the cabin structure data and the cabin usage data.

[0046] Furthermore, the output module is used to:

[0047] Determine the cable operating power data in the current section according to the power consumption data of each cabin in the current section during the peak power consumption period;

[0048] and / or,

[0049] According to the cabin structure data of each cabin in the current section, the cable operation damage prevention level data in the current section is determined;

[0050] and / or,

[0051] According to the usage data of each cabin in the current section, the cable operation safety data in the current section is determined.

[0052] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0053] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0054] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0055] In an embodiment of the present application, the power consumption parameters of each cabin that needs to be configured with cables and the location of each cabin are obtained; the power consumption parameters and locations of each cabin are input into a pre-obtained big data model to output the segmentation results of the cabin and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data, and anti-breakage grade data; according to the cable operation demand data, the target cable and the joint position of each segment are determined; and the cable layout plan is generated according to the target cable and the joint position of each segment. Through the above-mentioned marine cable layout method, more accurate cable operation demand data can be obtained using a big data model to improve the accuracy of cable layout. Determining the target cable and the joint position of each segment according to the cable operation demand data can avoid potential failure risks during the cable layout process. At the same time, the cable layout plan is automatically generated and the cable layout is designed to improve the efficiency of cable layout. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flow chart of a method for arranging a shipboard cable provided in Example 1 of the present application;

[0057] Figure 2 It is a flow chart of a method for arranging a shipboard cable provided in Embodiment 2 of the present application;

[0058] Figure 3 It is a structural schematic diagram of a shipboard cable arrangement device provided in Example 3 of the present application;

[0059] Figure 4 It is a schematic diagram of the structure of the electronic device provided in Example 4 of the present application. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0061] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0062] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0063] In the following, in conjunction with the accompanying drawings, the arrangement method, device, equipment and medium of the shipboard cable provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0064] Embodiment 1

[0065] Figure 1 FIG. 1 is a flow chart of the method for arranging a shipboard cable provided in Example 1 of the present application. Figure 1 As shown, the specific steps include:

[0066] S101, obtaining the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin.

[0067] First of all, the usage scenario of this solution can be to use the smart terminal to obtain the cabin power parameters and location, and input them into the big data model to obtain the cable operation demand data, determine the target cable and connector positions of each segment based on this data, and finally generate a cable layout plan scenario.

[0068] Based on the above usage scenarios, it can be understood that the executor of the present application can be the smart terminal, and no excessive limitations are made here.

[0069] In this solution, the power consumption parameters of each cabin may refer to the load demand and electrical parameters of the electrical equipment in the cabin, which may include parameters such as voltage level, current load, power load and frequency, which are used to determine the specifications and quantity of the cables to be configured. Among them, the voltage level may refer to the rated voltage of the electrical equipment in the cabin, such as 220V and 440V; the current load may refer to the current demand of the electrical equipment in the cabin, which is used to determine the cross-sectional area and quantity of the cables to be configured; the power load may refer to the power demand of the electrical equipment in the cabin, which is used to calculate the power capacity and cross-sectional area of ​​the cables; the frequency may refer to the frequency of the ship's power system, such as 50Hz and 60Hz.

[0070] The position of each cabin may refer to the specific position of the cabin on the hull, and may include information such as the name, number and position coordinates of the cabin. The cabin number may refer to the cabin number, such as 1001, 1002 and 1003; the cabin name may refer to the name of the cabin, such as a refrigerated cabin, a tank cargo cabin and a dangerous goods cabin; the cabin coordinates may refer to the coordinate position of the cabin on the hull, and may include horizontal and vertical coordinates, which are used to determine the laying path and length of the cable. The cabin coordinates can be described using the hull coordinate system. The hull coordinate system is a three-dimensional rectangular coordinate system that can define the center of gravity of the hull as the coordinate origin, the horizontal plane as the XY plane, and the vertical upward as the positive direction of the Z axis. The coordinates of each cabin can be determined by measuring the position of certain key points on the hull. For example, the center of gravity of the hull is located at the origin of the coordinate system, the horizontal plane is the XY plane, and the vertical upward is the positive direction of the Z axis. The length of the ship is 200 meters, the width is 50 meters, and the height is 20 meters. The coordinates of the refrigerated compartment can be expressed as (50, 10, 5).

[0071] The smart terminal can be used to obtain information such as the location and power parameters of each cabin through ship design drawings and specifications. Since the location and power parameters of each cabin are usually recorded in the ship management system, the smart terminal can also be used to query the ship management database to obtain information such as the location and power parameters of each cabin.

[0072] S102, inputting the power consumption parameters and positions of each cabin into a pre-obtained big data model to output the cabin segmentation results and the cable operation requirement data of each segment; wherein the cable operation requirement data includes: safety data, power data and anti-breakage level data.

[0073] The big data model obtained in advance can be a model based on historical data and statistical analysis, or a model built based on machine learning and artificial intelligence technology. The model can analyze the power parameters and location of the cabin and other information, and output the cabin segmentation results and the cable operation demand data of each segment.

[0074] The segmentation result of the cabin can refer to dividing the entire cabin into several segments according to the results output by the big data model, and each segment can have similar cable operation demand data, such as the need to carry similar parameters such as voltage and current. For example, there is a cargo ship, and the cabin can be divided into multiple areas according to the structure of the cargo ship, such as the bow, cargo hold, and engine room. In each area, it can be further divided into multiple segments according to factors such as electrical load, cable length and layout method, so as to design and calculate the cable layout. For example, in the engine room area, it can be divided into multiple segments, such as the main engine control room, auxiliary engine control room, and ship automation control room, and each segment may have different power loads and cable layout requirements. For each segment, there can be different cable layout methods and specifications to meet the required power and safety requirements. Therefore, the cabin segmentation result can provide the specific location and electrical parameters of each segment, so as to formulate and calculate the cable layout plan.

[0075] The cable operation demand data of each section may include safety data, power data and anti-breakage grade data. Among them, the safety data may include the rated voltage, rated current, short circuit tolerance, cable flame retardant grade and cable fire resistance time of the cable, for example, the rated voltage of a marine cable is 400V, the rated current is 60A, the short circuit tolerance is 1kA, the flame retardant grade is Class B, and the fire resistance time is 100 minutes; the power data may include the load power, capacity, resistance, inductance and capacitance of the cable, for example, the load power of a marine cable is 70kW, the capacity is 100kVA, the resistance is 0.5Ω / km, the inductance is 0.8mH / km, and the capacitance is 120nF / km.; The anti-breakage grade data may include the mechanical strength, wear resistance, pressure resistance, etc. of the cable, for example, the mechanical strength of a marine cable is 40N / mm 2 , wear resistance is grade A, and compressive resistance is 25kN.

[0076] The intelligent terminal can use the network library or framework to create a network connection and send an HTTP request (Hypertext Transfer Protocol Request) or a TCP request (Transmission Control Protocol Request) to the big data model. When sending a request, the intelligent terminal can send the power consumption parameters and location of each cabin as the request parameters or request body to the big data model and wait for the model's response. After receiving the request, the big data model will process the power consumption parameters and location of each cabin, generate the cabin segmentation results and the cable operation demand data of each segment, and send it as a response to the intelligent terminal.

[0077] Based on the above technical solutions, optionally, the training process of the big data model includes:

[0078] Obtaining the power consumption parameters and positions of each cabin and the determined cable segmentation parameters in the historical layout plan; wherein the cable segmentation parameters include the hull cable segmentation method and the master-slave relationship between the segments;

[0079] The power consumption parameters and positions of the cabins and the determined cable segmentation parameters are input into a pre-built basic model to perform supervised training on the model parameters of the basic model to obtain a big data model.

[0080] In this scheme, the historical layout scheme can be a cable layout scheme that is derived, which can include information such as cable laying channels, cable lengths, and cable joints. When training the big data model, it is necessary to obtain the power consumption parameters and positions of each cabin in the historical layout scheme. These parameters may include cable voltage level, cable capacity, cable type, and the spatial position of each cabin. For example, there is a cargo ship with three cabins. If power needs to be transmitted to different equipment and cabins, when designing the cable layout scheme, factors such as the spatial layout in the hull, cable length, and cost need to be considered. There is a historical layout scheme: the first cabin has a power consumption of 300kW, a cable length of 50m, a cable segmentation mode of master-slave type, a main cable length of 30m, and a slave cable length of 20m; the second cabin has a power consumption of 200kW, a cable length of 40m, and a cable segmentation mode of single cable; the third cabin has a power consumption of 100kW, is located in the middle of the ship, has a cable length of 30m, and a cable segmentation mode of master-slave type, a main cable length of 20m, and a slave cable length of 10m.

[0081] The cable segmentation parameters may refer to dividing the entire cable layout process into several segments, each of which has specific information such as cable length, cable type, and cable channel, and may include the hull cable segmentation method and the master-slave relationship between the segments. There are two ways to segment the hull cable, one is segmentation according to cable length, and the other is segmentation according to cabins. On the basis of the hull cable segmentation, it is also necessary to determine the master-slave relationship between the segments, that is, to determine the positional relationship of each cable segment in the entire cable layout process. For example, a ship can be divided into different cabins such as the main cabin, deck cabin, cold storage, and electrical cabin according to cabins or functions, and then the cables in each cabin are segmented. If divided into 5 segments, the numbers can be 101 to 103. Among them, the segment numbered 101 can be the master segment numbered 102, and the starting point of the cable segment numbered 102 can be connected to the end point of the cable segment numbered 101. The cable numbered 102 may be the main cable numbered 103 , and the starting point of the cable segment numbered 103 may be connected to the end point of the cable segment numbered 102 .

[0082] The historical layout schemes may be pre-stored in a database of the smart terminal, and the smart terminal may obtain required information by querying a corresponding database table.

[0083] The pre-built basic model may refer to a basic model that needs to be built for training before training the big data model. This basic model can be various machine learning models, such as linear regression models, decision tree models, and neural network models, etc., which are used to process and predict the input data.

[0084] Supervised training can be a machine learning method that uses labeled training data to train the model so that the model can learn the relationship between the input data and the labeled data, thereby predicting or classifying future data. In this solution, the power parameters and locations of each cabin in the historical layout plan, as well as the determined cable segmentation parameters and other data, can be labeled as target parameters and input into the basic model as training data to train the big data model in a supervised manner.

[0085] The intelligent terminal can input the power consumption parameters and positions of each cabin and the determined cable segmentation parameters into the pre-built basic model through programming. Specifically, a programming language (and a corresponding deep learning framework) can be used to write code, import data into the model, and train it through a supervised learning method. This can be achieved through the following steps:

[0086] 1. Arrange the power consumption parameters and positions of each cabin and the cable segmentation parameters in the historical layout plan into a data set, for example, the data can be stored in a database format.

[0087] 2. Use programming languages ​​to read data sets and use corresponding data processing libraries for data preprocessing, such as data cleaning, normalization, and division into training and test sets.

[0088] 3. Based on the selected pre-built base model, build the model using the corresponding deep learning framework and define the loss function and optimizer.

[0089] 4. Use the training data to perform supervised learning on the model, and adjust and optimize the model based on the training results.

[0090] 5. Use the test data to test and evaluate the trained model to obtain the performance indicators and accuracy of the model.

[0091] 6. According to the performance and requirements of the model, iteratively train and adjust the model to finally obtain the required big data model.

[0092] In this solution, by using historical data to train a big data model, a more accurate and efficient cable segmentation result is automatically provided for ship layout. At the same time, the cable operation demand data of each segment is also provided, which improves the efficiency and accuracy of ship layout, reduces the time and error rate of manual layout, and can also optimize the cable layout, reduce the cost of cable and improve safety.

[0093] On the basis of the above technical solutions, the cable operation demand data in each segment can be optionally output, including:

[0094] Identifying at least one of power consumption data, cabin structure data, and cabin usage data of each cabin in each section;

[0095] The cable operation demand data in the current section is determined based on at least one of the power consumption data, the cabin structure data and the cabin usage data.

[0096] In this solution, the power consumption data may refer to the data related to the power consumption of each cabin, which may include power load, voltage, and current. These data can reflect the power demand of each cabin, as well as the number of cables required in the cabin and the cable load. For example, if the cargo hold area is 50 square meters and 1000 watts of lighting is required, the power density of the lighting facilities is 20 watts / square meter.

[0097] Cabin structure data may refer to the structural parameters of each cabin, including the material and thickness of the bulkhead, floor, and ceiling. These data can reflect the structural strength and sound insulation performance of each cabin, as well as the air conditioning and ventilation system parameters required for the cabin. For example, the length, width, and height of a cabin are 15 meters, 10 meters, and 3 meters respectively; the cabin has two windows, located on the left and right sides of the cabin, and 1.5 meters and 2.5 meters from the bottom of the cabin respectively.

[0098] The cabin usage data may refer to data recording the usage or function of each cabin. Such data may include information such as cabin name, usage or function description, relevant specifications and requirements. For example, a cargo hold may be a cabin used to store cargo; a dangerous goods cabin may be used to store or transport dangerous goods, such as flammable, explosive and toxic substances; a refrigerated cabin may be a cabin used to store food and other items, which is usually kept at a low temperature by refrigeration equipment to prevent food and other perishable items from spoiling.

[0099] The smart terminal can obtain the overall design structure of the ship by reading the design plan file, including the location, size and shape of the cabin. Based on this information, the smart terminal can automatically identify the cabin structure data of each section; the smart terminal can read the ship planning file to obtain the planning and design information of each cabin of the ship, such as the purpose, size and location of the cabin. Based on this information, the smart terminal can automatically identify the cabin use data of each section; the smart terminal can read the construction drawings to obtain detailed structural information of the ship's cabin, which may include the location and size of windows, doors and vents. Based on this information, the smart terminal can automatically identify the cabin structure data of each section, and further identify the power consumption data, such as identifying the location and number of cabin lamps and sockets, and calculate the estimated power consumption.

[0100] The intelligent terminal can determine the cable operation demand data within the current segment through the following steps:

[0101] 1. Analyze the power consumption data and determine the total power data required in the current segment.

[0102] 2. Analyze the cabin structure data to determine the cable laying path, cable length, number and location of cable channels in the cabin.

[0103] 3. Analyze the cabin usage data to determine the types and quantity of cables that need to be laid in the cabin, as well as the cable damage resistance requirements.

[0104] 4. Based on the above analysis results, calculate the safety data, power data and damage prevention level data in the current segment to determine the cable operation demand data.

[0105] In this solution, by identifying at least one of the power consumption data, cabin structure data, and cabin usage data of each cabin in each section, the requirements of various equipment and systems inside the ship can be accurately analyzed and calculated, thereby determining the cable operation demand data in the current section, which can ensure that the cable system meets the requirements of various ship equipment and systems while ensuring the safe and stable operation of the ship's cable system. In addition, the intelligent terminal can automatically process large amounts of data, avoiding the tedious process of traditional manual calculations and improving work efficiency and accuracy.

[0106] On the basis of the above technical solutions, optionally, the cable operation demand data in the current segment is determined according to at least one of the power consumption data, the cabin structure data and the cabin use data, including:

[0107] Determine the cable operating power data in the current section according to the power consumption data of each cabin in the current section during the peak power consumption period;

[0108] and / or,

[0109] According to the cabin structure data of each cabin in the current section, the cable operation damage prevention level data in the current section is determined;

[0110] and / or,

[0111] According to the usage data of each cabin in the current section, the cable operation safety data in the current section is determined.

[0112] In this solution, the power consumption data of each cabin in the current segment during the peak power consumption period may be the power consumption data of all cabins in the segment during the time period with the highest power consumption, usually during the time period with the highest power load in a day, such as evening or night.

[0113] The intelligent terminal can obtain the peak power consumption data of each cabin by real-time monitoring of the power consumption of the ship system, such as the power consumption of each cabin during the peak power consumption period of each day. Then, based on the power consumption data of each cabin during the peak power consumption period, the intelligent terminal can calculate the power demand for cable operation in the current segment. For example, if the power consumption of a cabin is 300kWh and the peak duration of the peak power consumption is 2 hours, then the cable operation power is 150kW. Specifically, the following formula is used for calculation:

[0114] Power = power consumption ÷ time;

[0115] Furthermore, the calculation formula for the operating power of the cabin cable is:

[0116] 300÷2=150;

[0117] The intelligent terminal can evaluate the damage risk of cables under different conditions based on the cabin structure data of each cabin, such as the material and thickness of the hull, bulkhead and deck, combined with the specific environment and situation of cable operation, and determine the cable operation damage prevention level data in the current segment. For example, for a cabin located on the upper deck of a ship, since it is outside the hull and is easily eroded by natural environments such as wind, waves and rain, a cable with a higher damage prevention level is required.

[0118] The intelligent terminal can determine the cable operation safety data in the current segment through the following steps:

[0119] 1. Identify the usage data of each cabin, including cabin name, usage or function description, relevant specifications and requirements, etc.

[0120] 2. Determine the rated voltage and rated current of the cable required for the cabin according to the specifications and requirements in the cabin usage data;

[0121] 3. Determine the short-circuit tolerance of the cable, which depends on the type and specification of the cable;

[0122] 4. Determine the flame retardant grade and fire resistance time of the cable, which is determined according to the purpose of the cabin and relevant regulations.

[0123] For example, a cabin is a control cabin. According to the specifications and requirements in the cabin usage data, the cabin requires a cable with a rated voltage of 440V and a rated current of 20A. According to the cable type and specifications, the short-circuit tolerance of the cable in the cabin is determined to be 200A. According to the control cabin regulations, the cabin requires a cable with a flame retardant grade of A and a fire resistance time of 90 minutes.

[0124] In this solution, by conducting a comprehensive analysis of power consumption data, cabin structure data and usage data, the operation requirements, damage prevention level and safety requirements of the cable can be determined more accurately, which can improve the operation efficiency and reliability of the cable system, reduce the probability of failure, and increase the service life of the cable system, thereby reducing ship maintenance costs and improving ship operation safety.

[0125] S103, determining the target cable and the joint position of each segment according to the cable operation requirement data.

[0126] According to the cable operation demand data, the target cable for each segment may refer to the best cable type determined according to the rated voltage, rated current, shielding requirements and insulation requirements of the ship's cable to meet the ship's power demand.

[0127] The joint position refers to the position where two segmented cables are connected. In order to ensure the safety and stable operation of the cable, the selection of the joint position needs to consider many factors, including the characteristics of the cable itself, the layout of the ship structure, and the joint connection method.

[0128] The intelligent terminal can first determine the cable type and specifications required for each cabin based on the cable type, voltage level, current load and other parameters in the cable operation demand data, and then determine the length of each segment and the cable laying path. On the basis of determining the length of each segment and the cable laying path, the number and length of cables required for each segment are calculated according to parameters such as cable specifications and current load, and the target cable for each segment is determined. Finally, according to the target cable and laying path of each segment, the joint position between each segment and the adjacent segment is determined to connect the cables of the adjacent segments.

[0129] S104: Generate a cable layout plan according to the target cables and connector positions of each segment.

[0130] The cable layout plan can refer to determining the path and layout of the cables based on the physical structure of the cabin and the number, type and length of cables required to be laid, so as to safely and effectively lay the cables in the cabin. The cable layout plan may include the following:

[0131] 1. Determine the direction and layout of the cables, which may include laying the cables along the hull or deck, along pipes or channels, etc.

[0132] 2. Determine the cable fixing method to ensure that the cable remains stable in the cabin and can withstand the influence of external forces such as movement and vibration.

[0133] 3. Determine the cable protection method to ensure that the cable will not be mechanically damaged or worn during layout and use.

[0134] 4. Determine the required cable length and quantity based on the size of the cabin and the cable usage requirements so that the cables can be purchased and arranged accurately.

[0135] 5. To facilitate maintenance and management of cables, each cable should be labeled and numbered so that the corresponding cable can be found quickly when needed.

[0136] 6. Determine the safety measures that need to be followed when laying cables to ensure the safety of personnel during the cable laying process.

[0137] The intelligent terminal can generate a cable layout plan through the following steps:

[0138] 1. Calculate the total length of the required cables based on the target cable type and length of each segment.

[0139] 2. Determine the direction of the cable based on the hull structure and wiring requirements.

[0140] 3. Based on the total length and direction of the cable, calculate the length of each cable section and the required bending radius.

[0141] 4. Determine the best path and channel for the cable based on its length and bending radius.

[0142] 5. Determine the cable laying method and direction based on the width and depth of the channel, which may include laying the cable at the bottom of the channel or on a bracket.

[0143] 6. Determine the cable bracket type and layout according to the cable laying method and channel requirements. The bracket types may include fixed brackets and elastic brackets, etc.

[0144] 7. According to the cable laying plan and bracket requirements, determine the location and type of each joint. The joint types can include welding joints and plug-in joints, etc.

[0145] 8. Generate cable layout plan, which can include cable path, bracket type and location, connector location and type, etc.

[0146] In an embodiment of the present application, the power consumption parameters of each cabin that needs to be configured with cables and the location of each cabin are obtained; the power consumption parameters and locations of each cabin are input into a pre-obtained big data model to output the segmentation results of the cabin and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data, and anti-breakage grade data; according to the cable operation demand data, the target cable and the joint position of each segment are determined; and the cable layout plan is generated according to the target cable and the joint position of each segment. Through the above-mentioned marine cable layout method, more accurate cable operation demand data can be obtained using a big data model to improve the accuracy of cable layout. Determining the target cable and the joint position of each segment according to the cable operation demand data can avoid potential failure risks during the cable layout process. At the same time, the cable layout plan is automatically generated and the cable layout is designed to improve the efficiency of cable layout.

[0147] Embodiment 2

[0148] Figure 2 FIG. 1 is a flow chart of the method for arranging marine cables provided in Example 2 of the present application. Figure 2 As shown, the specific steps include:

[0149] S201, obtaining the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin.

[0150] S202, inputting the power consumption parameters and positions of each cabin into a pre-obtained big data model to output the cabin segmentation results and the cable operation requirement data of each segment; wherein the cable operation requirement data includes: safety data, power data and anti-breakage level data.

[0151] S203: Determine the cable laying channel of each segment according to the cable operation requirement data.

[0152] Cable laying channel refers to the path that the cable passes through during the laying process. Usually, it is necessary to open a cable channel in the ship's structure so that the cables can be laid in it. These cable channels can be closed structures composed of partitions, pipes, brackets and beams, or some exposed cable troughs or cable bridges.

[0153] The intelligent terminal can determine the cable laying channel of each segment through the following steps:

[0154] 1. According to the cabin segmentation results and the safety data, power data and damage resistance data of the required cables, determine the cable specifications and types required for each segment.

[0155] 2. According to the cable specifications and types, combined with the location and shape of the cabin, determine the location and direction of each segmented cable laying channel.

[0156] 3. According to the location and direction of each section cable laying channel, considering the position relationship between the laying channel and other cabin equipment, determine the size and shape of the cable laying channel to meet the cable laying requirements.

[0157] S204, determining the target cable and the joint position in the cable laying channel according to the distance between the cable laying channel and the current cable laying channel to the target cabin.

[0158] The distance from the current cable laying channel to the target cabin can be the number of other cabins that the current cable laying channel needs to pass through before reaching the target cabin and the path length in the cabin. For example, assuming that the target cabin is 103, the current cable laying channel is 101-102-103, and the path lengths in cabins between 101, 102, and 103 are 10m, 15m, and 20m respectively, then the current cable laying channel needs to pass through cabins 101 and 102 to reach the target cabin 103, and the distance is:

[0159] 10m+15m=25m;

[0160] The intelligent terminal can determine the target cable and connector location in the cable routing channel through the following steps:

[0161] 1. Determine the cable laying channel between the target cabin and the current cabin.

[0162] 2. Calculate the distance between the target cabin and the current cabin, as well as the length of the cable laying channel.

[0163] 3. Select the appropriate cable as the target cable according to the power consumption parameters of the target cabin and the safety, power and damage resistance level requirements of the required cables.

[0164] 4. According to the length of the cable and the length of the laying channel, calculate the laying position of the cable in the target cabin and determine the joint position.

[0165] For example, cabin A needs to be connected to cabin B, where the cable laying channel between cabin A and cabin B is a straight line with a distance of 50 meters. According to the cable operation requirement data, a cable with a length of 60 meters is selected. The intelligent terminal can calculate the cable laying position as 10 meters away from the port of cabin A and install the connector at this position.

[0166] On the basis of the above technical solutions, optionally, according to the distance between the cable laying channel and the current cable laying channel to the target cabin, the target cable and the joint position in the cable laying channel are determined, including:

[0167] Determine the trunk cable and the branch cable according to the distance between the cable laying channel and the current cable laying channel to the target cabin;

[0168] According to the distribution positions of the trunk cables and branch cables, the target cables and the joint positions in the cable laying channel are determined.

[0169] In this solution, the trunk cable may refer to a cable that is mainly responsible for the transmission and distribution of electric energy in a power transmission and distribution system, which usually connects the starting point and the end point and carries a large amount of power load.

[0170] Branch cables are shorter cables branched from the main cable to connect power sources or loads. They are generally not directly connected to the grid, but connected to the grid through the main cable.

[0171] If the current cable laying channel is far away from the target cabin, it can be determined to use the trunk cable for transmission; if the current cable laying channel is close to the target cabin, it can be determined to use the branch cable to connect the target cabin.

[0172] The distribution position of the trunk cable and the branch cable can be the specific position and direction of the trunk cable and the branch cable in the cable layout plan. The trunk cable can be the main cable connecting different parts of the ship. It is usually located in the center of the ship and is the starting point and end point of other cables. The branch cable can be the cable connecting the trunk cable and the equipment in the cabin. It is usually branched from the trunk cable and distributed to each cabin along the direction of the ship.

[0173] The intelligent terminal can determine the target cable and connector location in the cable routing channel through the following steps:

[0174] 1. Determine the layout path of the trunk cable and the connection location of the branch cable.

[0175] 2. According to the layout path of the trunk cable and the connection position of the branch cable, determine the segmented layout channel and the target cable in the segmented channel.

[0176] 3. Determine the location of the joint according to the connection location of the trunk cable and the connection location of the branch cable. Connect the trunk cable and the branch cable at both ends of the joint location.

[0177] 4. For each target cable, determine the cable layout direction and length based on the cable length and the location of the cable connector.

[0178] In this scheme, according to the distance between the cable laying channel and the current cable laying channel to the target cabin, the cable layout can be reasonably arranged according to the actual situation to avoid excessive bending or stretching of the cable during the layout process, which will cause damage to the cable and shorten its service life. Determining the layout position of the trunk cable and branch cable can make the layout of the cable system more reasonable, reduce redundancy and repeated wiring, improve the reliability and safety of wiring, and reduce the maintenance cost of the cable system.

[0179] S205: Generate a cable layout plan according to the target cables and connector positions of each segment.

[0180] In this embodiment, the cable laying channel is determined according to the cable operation demand data, and then the target cable and the joint position in the cable laying channel are determined according to the distance between the cable laying channel and the current cable laying channel to the target cabin, so that the cable layout can be more reasonable, and the chaotic layout and overlap of the cables can be avoided, thereby improving the efficiency and safety of the cable layout. In addition, the cable loss and maintenance cost can be reduced under the premise of ensuring the normal operation of the ship's power system.

[0181] Embodiment 3

[0182] Figure 3 Schematic diagram of the structure of the arrangement device of the ship cable provided in the third embodiment of the present application. Figure 3 As shown, specifically including the following:

[0183] An acquisition module 301 is used to acquire the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin;

[0184] The output module 302 is used to input the power consumption parameters and positions of each cabin into the pre-obtained big data model to output the cabin segmentation results and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data and damage prevention grade data;

[0185] A determination module 303 is used to determine the target cables and joint positions of each segment according to the cable operation requirement data;

[0186] The generating module 304 is used to generate a cable arrangement plan according to the target cables and connector positions of each segment.

[0187] Furthermore, the determining module is used to:

[0188] Determine the cable laying channel of each segment according to the cable operation demand data;

[0189] According to the distance between the cable laying channel and the current cable laying channel to the target cabin, the target cable and the joint position in the cable laying channel are determined.

[0190] Furthermore, the determining module is used to:

[0191] Determine the trunk cable and the branch cable according to the distance between the cable laying channel and the current cable laying channel to the target cabin;

[0192] According to the distribution positions of the trunk cables and branch cables, the target cables and the joint positions in the cable laying channel are determined.

[0193] Furthermore, the training process of the big data model includes:

[0194] Obtaining the power consumption parameters and positions of each cabin and the determined cable segmentation parameters in the historical layout plan; wherein the cable segmentation parameters include the hull cable segmentation method and the master-slave relationship between the segments;

[0195] The power consumption parameters and positions of the cabins and the determined cable segmentation parameters are input into a pre-built basic model to perform supervised training on the model parameters of the basic model to obtain a big data model.

[0196] Furthermore, the output module is used to:

[0197] Identifying at least one of power consumption data, cabin structure data, and cabin usage data of each cabin in each section;

[0198] The cable operation demand data in the current section is determined based on at least one of the power consumption data, the cabin structure data and the cabin usage data.

[0199] Furthermore, the output module is used to:

[0200] Determine the cable operating power data in the current section according to the power consumption data of each cabin in the current section during the peak power consumption period;

[0201] and / or,

[0202] According to the cabin structure data of each cabin in the current section, the cable operation damage prevention level data in the current section is determined;

[0203] and / or,

[0204] According to the usage data of each cabin in the current section, the cable operation safety data in the current section is determined.

[0205] In an embodiment of the present application, an acquisition module is used to obtain the power consumption parameters of each cabin that needs to be configured with cables and the location of each cabin; an output module is used to input the power consumption parameters and locations of each cabin into a pre-obtained big data model to output the segmentation results of the cabin and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data, and anti-breakage grade data; a determination module is used to determine the target cable and joint position of each segment according to the cable operation demand data; a generation module is used to generate a cable layout plan according to the target cable and joint position of each segment. Through the above-mentioned marine cable layout device, more accurate cable operation demand data can be obtained using a big data model to improve the accuracy of cable layout. Determining the target cable and joint position of each segment according to the cable operation demand data can avoid potential failure risks during the cable layout process. At the same time, automatically generating a cable layout plan and designing the cable layout can improve the efficiency of cable layout.

[0206] The arrangement device of the marine cable in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0207] The arrangement device of the marine cable in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0208] The arrangement device for ship cables provided in the embodiments of the present application can implement the various processes implemented in the above-mentioned method embodiments, and will not be described again here to avoid repetition.

[0209] Embodiment 4

[0210] like Figure 4 As shown, an embodiment of the present application also provides an electronic device 400, including a processor 401, a memory 402, and a program or instruction stored in the memory 402 and executable on the processor 401. When the program or instruction is executed by the processor 401, each process of the above-mentioned embodiment of the arrangement device for ship cables is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0211] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0212] Embodiment 5

[0213] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned embodiment of the arrangement device for ship cables are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0214] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0215] Embodiment 6

[0216] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the arrangement device for ship cables, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0217] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0218] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0219] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0220] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0221] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for arranging marine cables, It is characterized in that The method comprises: Obtain the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin; the power consumption parameters of each cabin refer to the load requirements and electrical parameters of the electrical equipment in the cabin, including voltage level, current load, power load and frequency; the location of each cabin refers to the specific location of the cabin on the hull, including the name, number and location coordinates of the cabin; Input the power consumption parameters and positions of each cabin into a pre-obtained big data model to output the segmentation results of the cabin and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data and damage prevention level data; wherein the training process of the big data model includes: obtaining the power consumption parameters and positions of each cabin and the determined cable segmentation parameters in the historical layout plan; wherein the cable segmentation parameters include the hull cable segmentation method and the master-slave relationship between each segment; input the power consumption parameters and positions of each cabin and the determined cable segmentation parameters into a pre-constructed basic model to perform supervised training on the model parameters of the basic model to obtain a big data model; The determination of the cable operation demand data of each section includes: Determine the cable operating power data in the current section according to the power consumption data of each cabin in the current section during the peak power consumption period; and / or, According to the cabin structure data of each cabin in the current section, the cable operation damage prevention level data in the current section is determined; and / or, According to the usage data of each cabin in the current section, the cable operation safety data in the current section is determined; Determine the target cable and joint position of each segment according to the cable operation demand data; including: determine the cable specifications and types required for each segment according to the segmentation results of the cabin and the safety data, power data and damage prevention grade data of the required cables; determine the position and direction of the cable laying channel of each segment according to the cable specifications and types, combined with the position and shape of the cabin; determine the size and shape of the cable laying channel according to the position and direction of the cable laying channel of each segment, considering the position relationship between the laying channel and other cabin equipment, so as to meet the cable laying requirements; determine the target cable and joint position in the cable laying channel according to the distance between the cable laying channel and the current cable laying channel to the target cabin; A cable arrangement plan is generated according to the target cables and joint positions of each segment.

2. The method for arranging a shipboard cable according to claim 1, It is characterized in that According to the cable operation demand data, determine the target cables and joint locations of each segment, including: Determine the cable laying channel of each segment according to the cable operation demand data; According to the distance between the cable laying channel and the current cable laying channel to the target cabin, the target cable and the joint position in the cable laying channel are determined.

3. The method for arranging a shipboard cable according to claim 2, It is characterized in that According to the distance between the cable laying channel and the current cable laying channel to the target cabin, determining the target cable and the joint position in the cable laying channel includes: Determine the trunk cable and the branch cable according to the distance between the cable laying channel and the current cable laying channel to the target cabin; According to the distribution positions of the trunk cables and branch cables, the target cables and the joint positions in the cable laying channel are determined.

4. The method for arranging a shipboard cable according to claim 1, It is characterized in that Output cable operation requirement data in each segment, including: Identifying at least one of power consumption data, cabin structure data, and cabin usage data of each cabin in each section; The cable operation demand data in the current section is determined based on at least one of the power consumption data, the cabin structure data and the cabin usage data.

5. A device for laying out marine cables, It is characterized in that The arrangement device for shipboard cables is used to execute the arrangement method for shipboard cables according to any one of claims 1 to 4, and the arrangement device comprises: An acquisition module is used to acquire the power consumption parameters of each cabin that needs to be equipped with cables and the location of each cabin; An output module is used to input the power consumption parameters and positions of each cabin into a pre-obtained big data model to output the cabin segmentation results and the cable operation demand data of each segment; wherein the cable operation demand data includes: safety data, power data and damage prevention grade data; A determination module, used to determine the target cables and joint positions of each segment according to the cable operation demand data; A generating module is used to generate a cable arrangement plan according to the target cables and connector positions of each segment.

6. The arrangement device for shipboard cables according to claim 5, It is characterized in that The determining module is used to: Determine the cable laying channel of each segment according to the cable operation demand data; According to the distance between the cable laying channel and the current cable laying channel to the target cabin, the target cable and the joint position in the cable laying channel are determined.

7. An electronic device, It is characterized in that The method comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method for arranging a shipboard cable as claimed in any one of claims 1 to 4.

8. A readable storage medium, It is characterized in that The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the method for arranging a shipboard cable according to any one of claims 1 to 4 are implemented.

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