A method and system for online and offline fusion transmission of electronic inspection data

Abstract

The present invention discloses an online and offline fusion transmission method and system for electronic inspection data, which are used for equipment status monitoring of ship equipment. The method comprises: obtaining online and offline data of electronic inspection of ship equipment, and obtaining the equipment status and time step at the current time; setting an online data and offline data fusion model, and calculating the equipment status after the current time plus the time step according to the online data, the offline data, the equipment status at the current time and the time step, wherein the online data and offline data fusion model comprises: an online data liquidity weight and an offline data credibility weight; and transmitting the equipment status after the current time plus the time step as the fused equipment status.

Description

Technical Field

[0001] The present invention belongs to the technical field of online and offline data fusion, and more specifically, relates to an online and offline fusion transmission method and system for electronic inspection data. Background Art

[0002] Online data and offline data fusion refers to the integration and analysis of real-time online data and offline data (such as historical data, batch data) to obtain comprehensive insights and better decision support. The following are some current status and trends of online data and offline data fusion:

[0003] Increasing real-time requirements: As the business environment continues to change, the demand for real-time data is gradually increasing. Many industries need to respond to market changes, user behavior and other real-time events in a timely manner, so real-time data processing has become critical.

[0004] Development of stream computing technology: With the continuous development of stream computing technology, more and more organizations have begun to adopt stream processing frameworks, such as Apache Flink, Apache Kafka, etc., to realize real-time data processing and analysis.

[0005] Popularity of big data and cloud computing: The popularity of big data technology and cloud computing platforms makes it easier to store, process, and analyze large-scale online and offline data. Cloud-native architecture provides a more elastic and scalable solution.

[0006] However, there is no technical solution in the prior art that can efficiently and accurately integrate the online data and offline data of electronic inspection of ship equipment. Summary of the invention

[0007] In order to solve the above technical problems, the present invention proposes an online and offline fusion transmission method of electronic inspection data for equipment status monitoring of ship equipment, comprising:

[0008] Obtain the online and offline data of electronic inspection of ship equipment, and obtain the equipment status and time step at the current time;

[0009] Setting an online data and offline data fusion model, calculating the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the online data and offline data fusion model includes: online data liquidity weight and offline data credibility weight;

[0010] The device state after adding the time step to the current time is transmitted as the fused device state.

[0011] Furthermore, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data

[0012]

[0013] Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W offline (T) is the offline data credibility weight at time T, D offline (T) is the offline data at time T.

[0014] Furthermore, the online data mobility weight W at time T is online (T) include:

[0015]

[0016] Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated.

[0017] Furthermore, the offline data credibility weight W at time T is offline include:

[0018]

[0019] Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when the offline data was last updated.

[0020] Furthermore, the online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is;

[0021] The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data.

[0022] The present invention also proposes an online and offline fusion transmission system for electronic inspection data, which is used for equipment status monitoring of ship equipment, comprising:

[0023] The data acquisition module is used to obtain the online and offline data of the electronic inspection of the ship equipment, and obtain the equipment status and time step at the current time;

[0024] A model setting module is used to set a fusion model of online data and offline data, and calculate the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the fusion model of online data and offline data includes: online data liquidity weight and offline data credibility weight;

[0025] The transmission module is used to transmit the device state after the current time plus the time step as the fused device state.

[0026] Furthermore, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data

[0027]

[0028] Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W offline (T) is the offline data credibility weight at time T, D offline (T) is the offline data at time T.

[0029] Furthermore, the online data mobility weight W at time T is online (T) include:

[0030]

[0031] Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated.

[0032] Furthermore, the offline data credibility weight W at time T is offline (T) include:

[0033]

[0034] Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when the offline data was last updated.

[0035] Furthermore, the online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is;

[0036] The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data.

[0037] Compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:

[0038] The present invention obtains the electronic inspection online data and offline data of the ship equipment, and obtains the equipment status and time step at the current time; sets an online data and offline data fusion model, and calculates the equipment status after the current time plus the time step according to the online data, the offline data, the equipment status at the current time and the time step, wherein the online data and offline data fusion model includes: online data liquidity weight and offline data credibility weight; the equipment status after the current time plus the time step is transmitted as the fused equipment status. Through the technical solution of the present invention, the online data and offline data of the electronic inspection can be fused, and the fused data can be transmitted, thereby improving the transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0040] Figure 2 It is a system structure diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0041] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0042] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may 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, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0043] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and 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.

[0044] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0045] The display screen is used to display the user interface of each application.

[0046] All subscripts in the formulas of the present invention are only used to distinguish parameters and have no actual meaning.

[0047] 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 may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0048] Example 1

[0049] like Figure 1 As shown, the present invention proposes an online and offline fusion transmission method for electronic inspection data, which is used for equipment status monitoring of ship equipment, comprising:

[0050] Step 101, obtaining online data and offline data of electronic inspection of ship equipment, and obtaining the equipment status and time step at the current time;

[0051] Step 102, setting an online data and offline data fusion model, calculating the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the online data and offline data fusion model includes: online data liquidity weight and offline data credibility weight;

[0052] Specifically, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data

[0053]

[0054] Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W offline (T) is the offline data credibility weight at time T, D offline (T) is the offline data at time T.

[0055] Specifically, the online data liquidity weight W at time T is online (T) include:

[0056]

[0057] Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated.

[0058] Specifically, the offline data credibility weight W at time T is offline (T) include:

[0059]

[0060] Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when the offline data was last updated.

[0061] Specifically, the online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is;

[0062] The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data.

[0063] For example, let S represent the health status of a ship engine, which can be described by one or more of the following factors:

[0064] Temperature: The temperature of the engine is an important indicator. Too high or too low a temperature may indicate a problem.

[0065] Vibration frequency: The vibration level of the engine may indicate wear or failure of certain components;

[0066] Oil pressure: A drop in engine oil pressure may indicate a problem with the lubrication system;

[0067] Speed: The engine speed is an important indicator of the engine condition.

[0068] Step 103: The device state obtained by adding the current time to the time step is transmitted as the fused device state.

[0069] Example 2

[0070] like Figure 2 As shown, the present invention also proposes an online and offline fusion transmission system for electronic inspection data, which is used for equipment status monitoring of ship equipment, including:

[0071] The data acquisition module is used to obtain the online and offline data of the electronic inspection of the ship equipment, and obtain the equipment status and time step at the current time;

[0072] A model setting module is used to set a fusion model of online data and offline data, and calculate the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the fusion model of online data and offline data includes: online data liquidity weight and offline data credibility weight;

[0073] Specifically, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data

[0074]

[0075] Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W ofline (T) is the offline data credibility weight at time T, D ofline (T) is the offline data at time T.

[0076] Specifically, the online data liquidity weight W at time T is online (T) include:

[0077]

[0078] Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated.

[0079] Specifically, the offline data credibility weight W at time T is offline (T) include:

[0080]

[0081] Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when the offline data was last updated.

[0082] Specifically, the online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is;

[0083] The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data.

[0084] For example, let S represent the health status of a ship engine, which can be described by one or more of the following factors:

[0085] Temperature: The temperature of the engine is an important indicator. Too high or too low a temperature may indicate a problem.

[0086] Vibration frequency: The vibration level of the engine may indicate wear or failure of certain components;

[0087] Oil pressure: A drop in engine oil pressure may indicate a problem with the lubrication system;

[0088] Speed: The engine speed is an important indicator of the engine condition.

[0089] The transmission module is used to transmit the device state after the current time plus the time step as the fused device state.

[0090] Example 3

[0091] The embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the online and offline fusion transmission method of electronic inspection data.

[0092] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0093] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining online data and offline data of electronic inspection of ship equipment, and obtaining the equipment status and time step at the current time;

[0094] Step 102, setting an online data and offline data fusion model, calculating the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the online data and offline data fusion model includes: online data liquidity weight and offline data credibility weight;

[0095] Specifically, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data

[0096]

[0097] Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W offline (T) is the offline data credibility weight at time T, D offline (T) is the offline data at time T.

[0098] Specifically, the online data liquidity weight W at time T is online (T) include:

[0099]

[0100] Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated.

[0101] Specifically, the offline data credibility weight W at time T is offline (T) include:

[0102]

[0103] Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when the offline data was last updated.

[0104] Specifically, the online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is;

[0105] The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data.

[0106] For example, let S represent the health status of a ship engine, which can be described by one or more of the following factors:

[0107] Temperature: The temperature of the engine is an important indicator. Too high or too low a temperature may indicate a problem.

[0108] Vibration frequency: The vibration level of the engine may indicate wear or failure of certain components;

[0109] Oil pressure: A drop in engine oil pressure may indicate a problem with the lubrication system;

[0110] Speed: The engine speed is an important indicator of the engine condition.

[0111] Step 103: The device state obtained by adding the current time to the time step is transmitted as the fused device state.

[0112] Example 4

[0113] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores multiple instructions, and the instructions can be loaded and executed by the processor to enable the processor to execute an online and offline fusion transmission method for electronic inspection data.

[0114] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0115] Among them, the storage medium can be used to store software programs and modules, such as an online and offline fusion transmission method for electronic inspection data in an embodiment of the present invention, and corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned online and offline fusion transmission method for electronic inspection data. The storage medium may include high-speed random storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, corporate intranet, local area network, mobile communication network and combinations thereof.

[0116] The processor can call the information and application stored in the storage medium through the transmission system to perform the following steps: Step 101, obtaining the electronic inspection online data and offline data of the ship equipment, and obtaining the equipment status and time step at the current time;

[0117] Step 102, setting an online data and offline data fusion model, calculating the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the online data and offline data fusion model includes: online data liquidity weight and offline data credibility weight;

[0118] Specifically, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data

[0119]

[0120] Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W ofline (T) is the offline data credibility weight at time T, D ofline (T) is the offline data at time T.

[0121] Specifically, the online data liquidity weight W at time T is online (T) include:

[0122]

[0123] Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated.

[0124] Specifically, the offline data credibility weight W at time T is offline (T) include:

[0125]

[0126] Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when the offline data was last updated.

[0127] Specifically, the online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is;

[0128] The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data.

[0129] For example, let S represent the health status of a ship engine, which can be described by one or more of the following factors:

[0130] Temperature: The temperature of the engine is an important indicator. Too high or too low a temperature may indicate a problem.

[0131] Vibration frequency: The vibration level of the engine may indicate wear or failure of certain components;

[0132] Oil pressure: A drop in engine oil pressure may indicate a problem with the lubrication system;

[0133] Speed: The engine speed is an important indicator of the engine condition.

[0134] Step 103: The device state obtained by adding the current time to the time step is transmitted as the fused device state.

[0135] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0136] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0137] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0138] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0139] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0140] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned 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 other media that can store program codes.

[0141] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for online and offline fusion transmission of electronic inspection data, used for equipment status monitoring of ship equipment, characterized in that: include: Obtain the online and offline data of electronic inspection of ship equipment, and obtain the equipment status and time step at the current time; Setting an online data and offline data fusion model, calculating the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the online data and offline data fusion model includes: online data liquidity weight and offline data credibility weight; Specifically, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W offline (T) is the offline data credibility weight at time T, D offline (T) is the offline data at time T; Specifically, the online data liquidity weight W at time T is online (T) include: Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated; The online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is; Specifically, the offline data credibility weight W at time T is offline (T) include: Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when offline data was last updated; The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data; The device state after adding the time step to the current time is transmitted as the fused device state.

2. An online and offline fusion transmission system for electronic inspection data, used for equipment status monitoring of ship equipment, characterized in that: include: The data acquisition module is used to obtain the online and offline data of the electronic inspection of the ship equipment, and obtain the equipment status and time step at the current time; A model setting module is used to set a fusion model of online data and offline data, and calculate the device state after the current time plus the time step according to the online data, the offline data, the device state at the current time and the time step, wherein the fusion model of online data and offline data includes: online data liquidity weight and offline data credibility weight; Specifically, the online data and offline data fusion model includes: the weight of the online data and the weight of the offline data Among them, S(T+δT) is the device state at time T plus time step δT, S(T) is the device state at time T, and W online (T) is the online data liquidity weight at time T, D online (T) is the online data at time T, W offline (T) is the offline data credibility weight at time T, D offline (T) is the offline data at time T; Specifically, the online data liquidity weight W at time T is online (T) include: Among them, β is the change rate adjustment factor of the online data weight, T last_online The time when the online data was last updated; The online data mobility weight includes: as time goes by, the longer the time from the last online data update is, the smaller the online data mobility weight is; Specifically, the offline data credibility weight W at time T is offline (T) include: Among them, γ is the change rate adjustment factor of the offline data weight, T last_offline The time when offline data was last updated; The offline data credibility weight includes: as time goes by, the longer the time from the last offline data update, the higher the credibility of the offline data; The transmission module is used to transmit the device state after the current time plus the time step as the fused device state.

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