System for evaluating reliability of whole boat

Abstract

The invention discloses a whole boat reliability evaluation system, which relates to the field of whole boat reliability evaluation and comprises boat-based reliability data acquisition equipment and a shore-based monitoring and analysis system. The boat-based reliability data acquisition equipment is used for automatically acquiring reliability data of the whole boat and transmitting the reliability data of the whole boat to the shore-based monitoring and analysis system; and the shore-based monitoring and analysis system is used for visually displaying different types of data at different moments in the reliability data of the whole boat, performing data mining on the reliability data of the whole boat, and calculating the reliability characteristic quantity of the whole boat so as to evaluate the reliability of the whole boat. And the reliability evaluation efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of whole boat reliability assessment, and in particular to a whole boat reliability assessment system. Background Art

[0002] At present, the reliability of some small boats requires manual data recording. Some equipment on the boat has the function of data recording, but can only record part of the data. The data is not recorded and managed in a centralized manner. Therefore, the reliability assessment of the entire boat still requires technicians to record on board. The assessment efficiency is low and cannot reflect the status of the entire boat at a certain time. Summary of the invention

[0003] The purpose of this application is to provide a whole boat reliability assessment system to solve the problem of low efficiency of manual recording and assessment and failure to reflect the state of the whole boat at a certain time.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a system for evaluating the reliability of a whole boat, including: a boat-based reliability data acquisition device and a shore-based monitoring and analysis system;

[0006] The boat-based reliability data acquisition device is used to automatically collect the reliability data of the whole boat and transmit the reliability data of the whole boat to the shore-based monitoring and analysis system; the whole boat reliability data includes the original data of multiple key equipment; the key equipment includes the main engine, gear box, surface propeller, generator, integrated navigator, meteorological instrument and shutter box on the boat;

[0007] The shore-based monitoring and analysis system is used to visualize different types of data at different times in the whole-ship reliability data, and to perform data mining on the whole-ship reliability data, calculate the reliability characteristic quantity of the whole-ship, so as to evaluate the reliability of the whole-ship; the reliability characteristic quantity includes the average failure interval time at the whole-ship level, the system level and the equipment level; the whole-ship level is the whole ship, the system level includes the power system, the power system, the support system and the integrated navigation system, and the equipment level includes the key equipment at each system level.

[0008] According to the specific embodiments provided in the present application, the present application discloses the following technical effects: the present application provides a system for evaluating the reliability of a whole boat, which automatically collects the reliability data of the whole boat by setting a boat-based reliability data acquisition device, and uses a shore-based monitoring and analysis system to visualize different types of data at different times in the whole boat reliability data, which can reflect the state of the whole boat at a certain time, and perform data mining on the whole boat reliability data, calculate the reliability characteristic quantity of the whole boat, so as to evaluate the reliability of the whole boat. The entire evaluation process is fully automatic in collection, analysis and evaluation, which reduces the use of manpower and improves the efficiency of reliability evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0010] Figure 1 This is a schematic diagram of the shore-based monitoring and analysis system module in one embodiment of the present application;

[0011] Figure 2 This is a schematic diagram of the module of the boat base reliability data acquisition equipment in one embodiment of the present application. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0013] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0014] The embodiment of the present application provides a whole boat reliability assessment system, the whole boat reliability assessment system comprising: a boat-based reliability data acquisition device and a shore-based monitoring and analysis system;

[0015] The boat-based reliability data acquisition device is used to automatically collect the reliability data of the whole boat and transmit the reliability data of the whole boat to the shore-based monitoring and analysis system; the whole boat reliability data includes the original data of multiple key equipment; the key equipment includes the main engine, gear box, surface propeller, generator, integrated navigator, meteorological instrument and shutter box on the boat;

[0016] The shore-based monitoring and analysis system is used to visualize different types of data at different times in the whole-boat reliability data, and to perform data mining on the whole-boat reliability data, calculate the reliability characteristic quantity of the whole boat, so as to evaluate the reliability of the whole boat; the reliability characteristic quantity includes the average failure interval time at the whole-boat level, the system level and the equipment level; the whole-boat level is the whole boat, the system level includes the power system, the electric power system, the support system and the integrated navigation system, the equipment level includes the key equipment at each system level, among which the key equipment of the power system includes the main engine, the gearbox and the surface propeller, etc., the key equipment of the electric power system includes the generator, etc., the key equipment of the support system includes the alarm panel, etc., and the key equipment of the integrated navigation system includes the integrated navigator.

[0017] In an exemplary embodiment, Figure 1 As shown, the shore-based monitoring and analysis system specifically includes: a data management module, a data playback module, a status monitoring module, a data analysis module and a user management module.

[0018] The data management module is used to import and analyze the whole boat reliability data, and save the self-check problem information, over-threshold alarm information and equipment failure information obtained by the analysis into a local database.

[0019] The data playback module is used to visualize the historical trend of the analyzed whole boat reliability data.

[0020] The state monitoring module is used to monitor online the changes in state parameters of the boat base reliability data acquisition equipment and the key equipment during the navigation process of the ship.

[0021] The data analysis module is used to calculate the average failure time at the whole ship level, system level and equipment level by statistically analyzing the fault information based on the changes in the state parameters; the fault information includes self-check problem information, over-threshold alarm information and equipment failure information.

[0022] Furthermore, the shore-based monitoring and analysis system also includes a login interface and a user management module.

[0023] Among them, the software login is achieved by entering the user name and login password in the login interface; the user management module includes user management and role management. User management is used to add, delete, and edit login users, and role management is used to set roles with different permissions to provide corresponding operation permissions for different users.

[0024] In an exemplary embodiment, the data management module includes management of imported data, problem information data, and parameter configuration data, which is used to import and parse data in the boat-based reliability data acquisition equipment, save the parsed data to the local database, and uniformly manage the fault information contained therein.

[0025] The data management module specifically includes:

[0026] The parsing task execution unit is used to execute the corresponding parsing task of the whole ship reliability data based on the ship's hull number and the region to which it belongs. In the actual operation process, select the ship's hull number, the region to which it belongs and the import data in the data import tab, click import, and execute the data parsing task.

[0027] The self-check problem information parsing unit is used to parse the original data of each key device according to the data parsing protocol to obtain the self-check problem information. In the actual operation process, the parsed data also needs to be saved in the time series database.

[0028] The over-threshold alarm information determination unit is used to compare the original data of each key device with the corresponding alarm threshold to determine the over-threshold alarm information. In the actual operation process, the data management module sets a corresponding alarm threshold for each original data, and judges the parameter data according to the alarm threshold. If the data exceeds the alarm threshold, the corresponding over-threshold alarm information is output.

[0029] The equipment failure information output unit is used to input the original data of each key equipment into the early warning model and output the equipment failure information.

[0030] The storage unit is used to save the self-check problem information, over-threshold alarm information and equipment failure information to the local database.

[0031] In an exemplary embodiment, the equipment fault information output unit specifically includes: an early warning model establishment subunit, which is used to use KL divergence as an early warning indicator, take data features in each original data as input, and use equipment fault information as output to establish an early warning model; the data features include the effective value, peak-to-peak value, kurtosis, modulation frequency energy ratio and high-frequency energy characteristics of the vibration signal of each measuring point; an equipment fault information determination subunit, which is used to determine the equipment fault information according to the early warning model.

[0032] During the actual operation, the data management module embeds an early warning model of vibration parameters, inputs the parameter data into the early warning model, and outputs the corresponding problem information; the early warning model covers fault information of various equipment such as superchargers, seawater pumps, anchor bolts, and gearboxes, and takes the effective value, peak-to-peak value, kurtosis, modulation frequency energy ratio, and high-frequency energy characteristics of the vibration signal of each measuring point as input, establishes a distribution model of the input characteristics, and uses the KL divergence of the training data and the actual data as the early warning indicator.

[0033] KL divergence D KL It is an indicator used to measure the difference between two probability distributions. Its calculation formula is:

[0034]

[0035] Wherein, p(x) represents the distribution of real data p, q(x) represents the distribution of predicted data q predicted by the model, X is the set of all possible values, the real data p includes the effective value, peak-to-peak value, kurtosis, modulation frequency energy ratio, and high-frequency energy characteristics of the vibration signal, and x is the characteristic value of each vibration signal, and the characteristic value includes but is not limited to the effective value, peak-to-peak value, kurtosis, modulation frequency energy ratio, and high-frequency energy characteristics.

[0036] In actual operation, the data management module saves the self-check problem information, over-threshold alarm problem information and equipment fault information calculated by the early warning model into the database, and provides the functions of adding, deleting, querying and editing fault information.

[0037] In an exemplary embodiment, the data playback module specifically includes: a first visualization unit, which is used to visualize the historical trend of the whole boat reliability data after analysis based on the real-time status parameters of the key equipment, and to visualize the historical trend of the whole boat reliability data after analysis based on the data acquisition method. The data acquisition method includes TCP, UDP, CAN bus, AD acquisition, RS485 serial port, RS232 serial port and other methods.

[0038] In an exemplary embodiment, the state monitoring module specifically includes: an online monitoring unit, a navigation playback unit, and a test report export unit;

[0039] The online monitoring unit is used to monitor the real-time status parameter changes of equipment such as the ship's main engine, gear box, surface propeller, generator, integrated navigation instrument, meteorological instrument, shutter box and boat-based reliability data acquisition equipment in real time;

[0040] The navigation playback unit is used to monitor the state parameter changes of the ship's main engine, gearbox, surface propeller, generator, integrated navigation instrument, meteorological instrument, shutter box, boat base reliability data acquisition equipment and other equipment during historical navigation according to the whole boat reliability data;

[0041] The test report exporting unit is used to export the test data analysis report of a specified time period.

[0042] In an exemplary embodiment, the mean time between failures (MTBF) refers to the average time from one failure to the next failure of a product (including a whole ship, system, or equipment) under normal use conditions. There are two ways to calculate it:

[0043] Basic formula method:

[0044] The mean time between failures MTBF is:

[0045]

[0046] Where T is the total running time of the object, N F is the number of failures of the object; the object is the corresponding products at the whole ship level, system level and equipment level.

[0047] Failure Rate Method:

[0048] The mean time between failures MTBF is:

[0049]

[0050] Where λ is the failure rate.

[0051] In an exemplary embodiment, Figure 2 As shown in the figure, the boat-based reliability data acquisition equipment includes the main control hardware computing platform, power module, AD acquisition module, temperature acquisition module and interface module, which are used to analyze and store the reliability data of the whole boat and support online and offline transmission. Among them, the reliability data of the whole boat includes many parameters such as exhaust temperature, intake pressure, vibration, noise, etc. of each key equipment.

[0052] The main control hardware computer platform is used to receive and process various data collected by the AD acquisition module, the temperature acquisition module and the interface module.

[0053] Furthermore, the main control hardware computing platform includes a processing system unit, a data cache unit, a data storage unit, a control logic unit, a clock configuration unit, a Flash unit, an EMMC unit, a download and debug unit, and a startup configuration unit.

[0054] The processing system unit is used to execute the task management program and call the driver program.

[0055] The data cache unit is used for program running cache and temporary storage of large-capacity data.

[0056] The data storage unit is used to store large amounts of system data.

[0057] The control logic unit is used to control the interface unit to realize communication, AD acquisition and temperature acquisition.

[0058] The clock configuration unit is used to provide a clock input for the processing system unit and a clock input for the control logic unit.

[0059] The Flash unit is a non-volatile memory device that is powered off and is used as a system boot device to store the system boot image when in use.

[0060] The EMMC unit has large capacity and non-volatile characteristics and is used to store application programs, system files and other user data files.

[0061] The download debugging unit is used to download the test program or the firmware program to Flash.

[0062] The startup configuration unit is used to implement different startup modes of the system.

[0063] The power module is used to realize DC / DC and AC / DC conversion and provide the voltage required by the circuit board and external sensors.

[0064] The AD acquisition module is used to collect current signals, vibration signals and voltage signals.

[0065] Furthermore, the AD acquisition module includes an analog-to-digital conversion chip, a voltage signal conditioning unit, a current signal conditioning unit, and a vibration signal conditioning unit, which are used to realize the acquisition of voltage, current, and vibration signals.

[0066] The temperature acquisition module is used to acquire the internal temperature of key equipment.

[0067] The interface module is used to collect reliability data of the entire boat.

[0068] Furthermore, the interface unit includes a CAN bus interface, an RS232 interface and an RS485 interface, which are used to realize communication between the device and the CAN bus, RS232 serial port and RS485 serial port.

[0069] The boat-based reliability data acquisition equipment realizes the unified storage and management of multi-source data of key equipment on the boat, such as the main engine, gearbox, surface propeller, generator, integrated navigation instrument, meteorological instrument, shutter box, etc. through its architecture. The shore-based monitoring and analysis software imports boat-based data to visualize various types of data at different times, and uses processing and analysis functions to mine data, calculate the reliability characteristics of the whole boat, and thus realize the evaluation of the reliability of the whole boat.

[0070] This application solves the current problem that the reliability data of the entire boat cannot be uniformly recorded through equipment, reduces the use of manpower, and improves the efficiency of reliability assessment.

[0071] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0072] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A reliability assessment system for a whole boat, characterized in that: The whole boat reliability assessment system includes: boat-based reliability data acquisition equipment and shore-based monitoring and analysis system; The boat-based reliability data acquisition equipment is used to automatically collect the reliability data of the whole boat and transmit the reliability data of the whole boat to the shore-based monitoring and analysis system; the whole boat reliability data includes the original data of multiple key equipment; the key equipment includes the main engine, gear box, surface propeller, generator, integrated navigation instrument, meteorological instrument and shutter box on the boat; the original data includes exhaust temperature, intake pressure, vibration and noise; The shore-based monitoring and analysis system is used to visualize different types of data at different times in the whole-ship reliability data, and to perform data mining on the whole-ship reliability data, calculate the reliability characteristic quantity of the whole-ship, so as to evaluate the reliability of the whole-ship; the reliability characteristic quantity includes the average failure interval time at the whole-ship level, the system level and the equipment level; the whole-ship level is the whole ship, the system level includes the power system, the power system, the support system and the integrated navigation system, and the equipment level includes the key equipment at each system level.

2. The whole boat reliability assessment system according to claim 1, characterized in that: The shore-based monitoring and analysis system specifically includes: a data management module, a data playback module, a status monitoring module, a data analysis module and a user management module; The data management module is used to import and analyze the whole boat reliability data, and save the self-check problem information, over-threshold alarm information and equipment failure information obtained by the analysis to a local database; The data playback module is used to visualize the historical trend of the analyzed whole boat reliability data; The state monitoring module is used to monitor online the state parameter changes of the boat base reliability data acquisition equipment and the key equipment during the navigation of the ship; The data analysis module is used to calculate the average failure time at the whole ship level, system level and equipment level by statistically analyzing the fault information based on the changes in the state parameters; the fault information includes self-check problem information, over-threshold alarm information and equipment failure information.

3. The whole boat reliability assessment system according to claim 2, characterized in that: The data management module specifically includes: The parsing task execution unit is used to execute the corresponding parsing task of the whole ship reliability data based on the ship's hull number and the region to which it belongs; A self-check problem information analysis unit is used to analyze the original data of each key device according to the data analysis protocol to obtain self-check problem information; An over-threshold alarm information determination unit is used to compare the original data of each key device with the corresponding alarm threshold to determine the over-threshold alarm information; The equipment failure information output unit is used to input the original data of each key equipment into the early warning model and output the equipment failure information; The storage unit is used to save the self-check problem information, over-threshold alarm information and equipment failure information to the local database.

4. The whole boat reliability assessment system according to claim 1, characterized in that: The device fault information output unit specifically includes: The early warning model establishment subunit is used to establish an early warning model by taking KL divergence as an early warning indicator, taking data features in each original data as input, and taking equipment fault information as output; the data features include the effective value, peak-to-peak value, kurtosis, modulation frequency energy ratio, and high-frequency energy features of the vibration signal of each measuring point; The equipment fault information determination subunit is used to determine the equipment fault information according to the early warning model.

5. The whole boat reliability assessment system according to claim 1, characterized in that: The data playback module specifically includes: The first visualization unit is used to visualize the historical trend of the reliability data of the whole boat after analysis based on the real-time status parameters of the key equipment, and to visualize the historical trend of the reliability data of the whole boat after analysis based on the data acquisition method.

6. The whole boat reliability assessment system according to claim 2, characterized in that: The state monitoring module specifically includes: an online monitoring unit, a navigation playback unit and a test report export unit; The online monitoring unit is used to monitor the real-time status parameter changes of the boat base reliability data acquisition equipment and the key equipment in real time; The navigation playback unit is used to monitor the state parameter changes of the boat base reliability data acquisition equipment and the key equipment during historical navigation according to the whole boat reliability data; The test report exporting unit is used to export the test data analysis report of a specified time period.

7. The whole boat reliability assessment system according to claim 1, characterized in that: The mean time between failures MTBF is: Where T is the total running time of the object, N F is the number of failures of the object; the object is the corresponding products at the whole ship level, system level and equipment level.

8. The whole boat reliability assessment system according to claim 1, characterized in that: The mean time between failures MTBF is: Where λ is the failure rate.

9. The whole boat reliability assessment system according to claim 1, characterized in that: The whole boat reliability data acquisition device includes a main control hardware computer platform and an AD acquisition module, a temperature acquisition module and an interface module connected to the main control hardware computer platform; The main control hardware computer platform is used to receive and process various data collected by the AD acquisition module, the temperature acquisition module and the interface module; The AD acquisition module is used to collect current signals, vibration signals and voltage signals; The temperature acquisition module is used to collect the internal temperature of key equipment; The interface module is used to collect reliability data of the entire boat.

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