Ship display and control console carrying smart bracelet and control method thereof

Abstract

The invention relates to the technical field of ship control, in particular to a ship display and control console carrying an intelligent bracelet and a control method of the ship display and control console. The intelligent bracelet is used for monitoring the health state of a warship member in real time, the health state comprises physiological data and sensory data, and the intelligent bracelet is in wireless communication connection with a display control computer through a Bluetooth interface; the control unit is used as a device for interaction between a ship crew and the display and control console, and the control unit is in communication connection with the display and control computer; the display control computer is used for receiving and processing the physiological data and the sensory data and sending the processed data to the display; the display is used for displaying the processed data; and the power supply control unit is used for supplying power to the display control computer, the display and the control unit. According to the invention, by carrying the smart bracelet and adopting a falling-into-water detection and smart bracelet clustering method, real-time monitoring of the health state of the ship crew is realized, timely health data is provided for a ship commander, the health problem of the ship crew can be prevented and dealt with, and the combat effectiveness of the ship is improved.

Description

Technical Field

[0001] The present invention relates to the field of ship control technology, and in particular to a ship display and control console equipped with a smart bracelet and a control method thereof. Background Art

[0002] Traditional ship control consoles usually rely on physical buttons, touch screens or mouse and keyboard for operation, and crew members are in a closed, high-intensity combat environment for a long time. Their health status has a direct impact on the ship's combat effectiveness.

[0003] However, traditional ship display and control systems often lack the ability to monitor the health status of crew members in real time, resulting in health problems that may not be discovered and handled in a timely manner, affecting the ship's combat effectiveness. Summary of the invention

[0004] In view of the shortcomings of the prior art mentioned above, the purpose of the present invention is to provide a ship display and control console equipped with a smart bracelet and a control method thereof, which solves the problem that the ship display and control system often lacks the real-time monitoring function of the health status of the crew, resulting in health problems that may not be discovered and handled in time, affecting the ship's combat effectiveness.

[0005] In order to achieve the above-mentioned purpose and other related purposes, the present invention provides a ship display and control console equipped with a smart bracelet, comprising:

[0006] A smart bracelet is used to monitor the health status of the crew in real time, including physiological data and sensory data. The smart bracelet is wirelessly connected to the display and control computer via a Bluetooth interface;

[0007] A control unit, which is a device for the crew to interact with the display and control console, and the control unit is in communication connection with the display and control computer;

[0008] A display control computer, used for receiving and processing the physiological data and sensory data, and sending the processed data to a display;

[0009] A display, used to display the processed data;

[0010] A power supply control unit is used to supply power to the display control computer, display, and control unit.

[0011] In one embodiment of the present invention, the display is communicatively connected to the display control computer via an HDMI interface and a USB interface.

[0012] In one embodiment of the present invention, the control unit includes a keyboard, a mouse, and a joystick, and the control unit is communicatively connected to the display and control computer via a USB interface.

[0013] In one embodiment of the present invention, the smart bracelet is used to be worn on the wrist of the crew member.

[0014] The present invention also provides a control method for a ship display and control console equipped with a smart bracelet, including the above-mentioned ship display and control console equipped with a smart bracelet, and the control method includes:

[0015] S1. Real-time monitoring of the health status of the crew members through smart bracelets, the health status including physiological data and sensory data;

[0016] S2, receiving and processing the physiological data and sensory data through a display control computer, and sending the processed data to a display;

[0017] S3. Displaying the processed data on a display.

[0018] In one embodiment of the present invention, the step S2 of receiving and processing the physiological data and sensory data by the display control computer includes:

[0019] S21. Collecting crew characteristic information through the camera on the smart bracelet for crew identity confirmation and viewing display console environment information;

[0020] S22, collect gravity acceleration data, pressure data, temperature data and heart rate data to detect and warn crew members falling into the water;

[0021] S23. Based on the physiological data and sensory data, the cluster optimizes the working status of the display and control console and the crew members.

[0022] In one embodiment of the present invention, the step S22 of collecting gravity acceleration data, pressure data, temperature data and heart rate data to detect and warn crew members falling into water includes:

[0023] S221. Data preprocessing:

[0024] Collecting data through multiple sensors, including X-axis gravity acceleration data, Y-axis gravity acceleration data, Z-axis gravity acceleration data, pressure data, temperature data, and heart rate data, and filtering and denoising the collected data to extract feature information, and standardizing the feature information to obtain standardized data;

[0025] S222. Construct feature vector:

[0026] Combine the standardized data into a feature vector;

[0027] S223, labeled dataset:

[0028] Positive samples: sensor data collected during a water fall event and marked as water fall data;

[0029] Negative samples: collect sensor data during non-water-falling events and mark them as non-water-falling data;

[0030] S224. Training support vector machine model:

[0031] Select kernel function: select a suitable kernel function according to the characteristics of the positive sample and the negative sample;

[0032] Parameter tuning: adjust the parameters of SVM;

[0033] Training model: Use the labeled falling-into-water data and non-falling-into-water data to train the SVM model.

[0034] In one embodiment of the present invention, the collecting of gravity acceleration data, pressure data, temperature data and heart rate data in step S22 to detect and warn crew members falling into water further includes:

[0035] S225, deployment and testing:

[0036] Deploy model: deploy the trained SVM model to the smart bracelet;

[0037] Real-time detection: the smart bracelet collects sensor data in real time, constructs the feature vector, and uses the SVM model for prediction;

[0038] Alarm and record: If the detection result is falling into the water, the alarm will be triggered and the relevant event information will be recorded to rescue the crew member in time.

[0039] In one embodiment of the present invention, the cluster optimization of the display and control console working state and the crew working state according to the physiological data and sensory data in step S23 includes:

[0040] S231, collecting display and control console environment information based on the physiological data and sensory data;

[0041] S232, calculating the initial state score corresponding to each crew member using a fuzzy logic control algorithm according to the physiological data and the display and control console environment information, and establishing a crew state model according to the initial state score corresponding to each crew member;

[0042] S233, analyzing the sensory data of the crew members through collaborative filtering algorithm, identifying the crew members with similar evaluations in the same display console environment, and obtaining a crew group model;

[0043] S234. Obtain representative sensory features by aggregate analysis of the crew's sensory data; identify crew members with similar evaluations under the same display console environment to obtain a crew group model;

[0044] S235. Calculate the precise status score corresponding to each crew member by weighted average according to the crew status model and representative sensory characteristics;

[0045] S236. According to the precise status score and the working environment data of the display and control console, an optimal working plan is formulated through a multi-objective optimization algorithm.

[0046] The present invention also provides an electronic device, including a processor and a memory, wherein the memory stores program instructions, and the processor runs the program instructions to implement the control method of the ship display and control console equipped with the above-mentioned smart bracelet.

[0047] As described above, the ship display and control console equipped with a smart bracelet and the control method thereof of the present invention have the following beneficial effects:

[0048] (1) The ship display and control console equipped with a smart wristband and the control method thereof of the present invention can realize real-time monitoring of the health status of the crew by carrying a smart wristband, provide timely health data for the ship commander, help prevent and deal with the health problems of the crew, formulate efficient work plans, and improve the combat effectiveness of the ship.

[0049] (2) With the ship display and control console equipped with a smart bracelet and the control method thereof of the present invention, the crew can understand their health status in real time, promptly discover and deal with possible health problems, and improve the ship's combat effectiveness and the safety of the crew by preventing combat accidents caused by health reasons.

[0050] (3) The ship display and control console equipped with a smart bracelet and the control method thereof of the present invention, the health data recorded by the smart bracelet can be used for analysis by medical staff to formulate personalized health management plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A structural schematic diagram of a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application.

[0052] Figure 2 A structural diagram of a smart bracelet for a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application.

[0053] Figure 3 A flowchart of a control method for a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application.

[0054] Figure 4 A flow chart of cluster optimization of a control method for a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application.

[0055] Component number description

[0056] 1 Display and control computer

[0057] 2 Display

[0058] 3. Smart Bracelet

[0059] 4 Control unit

[0060] 5 Power supply control unit DETAILED DESCRIPTION

[0061] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0062] It should be noted that the illustrations provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic manner, and thus the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0063] Terms such as first or second can be used to describe various components, but these components are not limited by the above terms. The above terms are used to distinguish one component from another component, for example, without departing from the scope of the concept according to the present disclosure, a first component can be referred to as a second component, and similarly, a second component can be referred to as a first component.

[0064] In addition, "connected / coupled" means that one component is directly electrically coupled to another component or is indirectly electrically coupled through another component. The singular form may include the plural form unless explicitly stated in the sentence. In addition, "include / comprise" or "includes / comprises" used in this specification indicates that one or more components, steps, operations, and elements exist or have been added. The specific structural or functional descriptions of the examples of the implementation of the concepts disclosed in this specification are only illustrated to describe the examples of the implementation of the concepts, and the examples of the implementation of the concepts can be implemented in various forms, but these descriptions are not limited to the examples of the implementation described in this specification.

[0065] According to the concept, various modifications and changes can be applied to the examples of the embodiments, so that the examples of the embodiments will be illustrated in the drawings and described in the specification. However, the examples of the embodiments according to the concept are not limited to the specific embodiments, but include all changes, equivalents or replacements included in the spirit and technical scope of the present disclosure.

[0066] It should be understood that when an element is described as being "coupled" or "connected" to another element, the element may be directly coupled or directly connected to the other element, or may be coupled or connected to the other element through a third element. Conversely, it should be understood that when an element is referred to as being "directly coupled to" or "directly coupled to" another element, no other element is placed between them. Other expressions describing the relationship between components (i.e., "between" and "directly between" or "adjacent to" and "directly adjacent to") need to be interpreted in the same manner.

[0067] The terms used in this specification are only used to describe specific examples of the embodiments and are not intended to limit the present disclosure. If there is no clear opposite meaning in the context, the singular form may include the plural form. In this specification, it should be understood that the term "including" or "having" indicates the presence of the features, quantities, steps, operations, components, parts or combinations thereof described in the specification, but the possibility of the presence or addition of one or more other features, quantities, steps, operations, components, parts or combinations thereof cannot be precluded.

[0068] If there is no contrary definition, all terms (including technical terms or scientific terms) used herein have the same meaning as those generally understood by ordinary technicians in the field. If the terms defined in the commonly used dictionary are not clearly defined in this specification, they should be interpreted as having the same meaning as in the context of the relevant technology, and not interpreted as ideal or overly formal meanings.

[0069] Descriptions of well-known components and processing techniques may be omitted so as not to unnecessarily obscure the embodiments of the disclosure.

[0070] Throughout the specification, the same reference numerals refer to the same elements. Thus, even if a reference numeral is not mentioned or described with reference to one figure, it may be mentioned or described with reference to another figure. Furthermore, even if a reference numeral is not shown in one figure, it may be mentioned or described with reference to another figure.

[0071] In addition, the logic level of the signal may be different or opposite to the described logic level. For example, a signal described as having a logic "high" level may alternatively have a logic "low" level, and a signal described as having a logic "low" level may alternatively have a logic "high" level.

[0072] The following will describe the various embodiments of the present disclosure in detail with reference to the accompanying drawings. However, it will be appreciated by those skilled in the art that in the various embodiments of the present disclosure, many technical details are provided in order to enable the reader to better understand the present disclosure. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present disclosure can be implemented.

[0073] See also Figure 1 , Figure 1 A structural principle diagram of a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application. The present invention provides a ship display and control console equipped with a smart bracelet, comprising a display and control computer 1, a display 2, a smart bracelet 3, a control unit 4, and a power supply control unit 5. The smart bracelet 3 is used to monitor the health status of the crew in real time, and the health status includes physiological data and sensory data. The smart bracelet 3 is wirelessly connected to the display and control computer 1 through a Bluetooth interface; the control unit 4 is a device for the crew to interact with the display and control console, and the control unit 4 is communicatively connected to the display and control computer 1; the display and control computer 1 is used to receive and process the physiological data and sensory data, and send the processed data to the display 2; the display 2 is used to display the processed data; the power supply control unit 5 is used to supply power to the display and control computer 1, the display 2, and the control unit 4.

[0074] In one embodiment of the present invention, the smart bracelet is equipped with multiple sensors for real-time monitoring of the health status of the crew, including physiological data such as heart rate, blood pressure, and blood oxygen saturation. The bracelet is wirelessly connected to the display and control computer via a Bluetooth interface to achieve real-time data transmission. Bluetooth technology has the characteristics of low power consumption, high stability, and wide compatibility, and is suitable for data transmission needs in special environments such as ships.

[0075] Specifically, the display 2 is communicatively connected to the display control computer 1 via an HDMI interface and a USB interface.

[0076] In one embodiment of the present invention, the display 2 uses high-definition display technology, which can clearly display the ship's operating status, navigation information, weapon system status and other information. The display not only has conventional display functions, but also can display the crew's health data from the smart bracelet in real time. Through intuitive data display, the ship commander can quickly understand the health status of the crew and make corresponding decisions.

[0077] In one embodiment of the present invention, in order to achieve fast data transmission and stable display, HDMI and USB interfaces are used between the display 2 and the display control computer 1. The HDMI interface is responsible for transmitting high-definition video signals to ensure image quality; the USB interface is used to transmit control signals and other data to achieve precise control of the display by the display control computer.

[0078] Specifically, the control unit 4 includes a keyboard, a mouse, and a joystick, and the control unit 4 is communicatively connected to the display and control computer 1 via a USB interface.

[0079] In one embodiment of the present invention, the control unit 4 is an important device for the crew to interact with the display and control console, including input devices such as keyboard and mouse. The control unit 4 is connected to the display and control computer 1 through a USB interface to achieve fast data transmission and stable interaction.

[0080] In one embodiment of the present invention, the display and control computer 1 is the core processing unit of the entire display and control console, which is responsible for receiving data from the smart bracelet, display 2 and control unit 4, and performing real-time processing and analysis. The display and control computer 1 has a built-in powerful processor and storage device, which can efficiently process a large amount of data and display the results through the display 2. At the same time, the display and control computer 1 also has the function of analyzing and comparing the data of the smart bracelet, can identify abnormal data, and issue a warning to the ship commander.

[0081] In one embodiment of the present invention, the power supply control unit 5 is responsible for providing a stable and reliable power supply for the entire display and control console. It adopts advanced power management technology and redundant design to ensure the stable operation of the display and control console in various harsh environments.

[0082] See also Figure 2 , Figure 2 This is a structural diagram of a smart wristband of a ship display console equipped with a smart wristband provided in an embodiment of the present application. The smart wristband is used to be worn on the wrist of a crew member.

[0083] In one embodiment of the present invention, the smart bracelet has more functions and more integrated sensors, the weight of the bracelet is increased, and a wrist support function is designed to protect the working wrists of crew members who work for long periods of time.

[0084] In summary, the ship display and control console equipped with a smart bracelet of the present invention realizes real-time monitoring of the health status of the crew by carrying a smart bracelet, and brings intelligent health management functions to the ship display and control console. At the same time, the interface design between the various parts also fully considers the efficiency and stability of data transmission, ensuring that the entire display and control console can operate efficiently and stably. The implementation of this technical solution will help improve the combat effectiveness of ships and the health management level of crew members.

[0085] See also Figure 3 , Figure 4 , Figure 3 A flowchart of a control method for a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application. Figure 4A flow chart of cluster optimization of a control method of a ship display and control console equipped with a smart bracelet provided in an embodiment of the present application. The present invention provides a control method of a ship display and control console equipped with a smart bracelet, including the above-mentioned ship display and control console equipped with a smart bracelet, and the control method includes:

[0086] Step S1, monitor the health status of the crew in real time through the smart bracelet 3, and the health status includes physiological data and sensory data.

[0087] Step S2: receiving and processing the physiological data and sensory data through the display control computer 1, and sending the processed data to the display 2.

[0088] Step S3, displaying the processed data via the display 2.

[0089] In one embodiment of the present invention, the sensors integrated in the smart bracelet may be but are not limited to: gravity acceleration sensor: used to detect the acceleration change of the bracelet, which can indirectly determine whether the crew is in a free fall state or is impacted; pressure sensor: used to detect the water pressure of the environment in which the crew wearing the bracelet is located. When the water pressure exceeds a certain threshold, it can be determined that the crew has fallen into the water; heart rate sensor: monitors the heart rate of the crew; temperature sensor: monitors changes in body temperature; camera: collects crew characteristic information.

[0090] Specifically, the receiving and processing of the physiological data and sensory data by the display and control computer 1 in step S2 includes:

[0091] Step S21, collect crew feature information through the camera 3 on the smart bracelet, which is used to confirm the identity of the crew and view the display and control console environment information.

[0092] Step S22: collect gravity acceleration data, pressure data, temperature data and heart rate data to detect and warn crew members of falling into the water.

[0093] Step S23: Based on the physiological data and sensory data, the cluster optimizes the working status of the display and control console and the crew members.

[0094] In one embodiment of the present invention, the control method of the ship display and control console equipped with a smart bracelet may include but is not limited to: 1. Video acquisition function; 2. Detection and early warning of crew members falling into the water; 3. Waterproof function; 4. Heart rate monitoring, body temperature monitoring; 5. Wrist support; 6. Cluster optimization of the working status of the display and control console and the working status of the crew.

[0095] 1. Video collection function

[0096] Collect the crew's characteristic information for identity confirmation and to ensure a safe working environment; at the same time, collect the crew's special gestures or facial commands, such as to quickly view key information on the display console and complete corresponding control functions.

[0097] 2. Detect and warn crew members falling into the water

[0098] Algorithms such as weighted averaging, Bayesian networks, decision trees, or support vector machines can be used for fusion decision making.

[0099] Based on the fusion results, determine whether a fall into the water event has occurred.

[0100] Set a confidence threshold. The alarm is triggered only when the confidence exceeds the threshold.

[0101] When the wristband is in a free fall state and the pressure value increases rapidly, it can be judged as falling into water. Other more complex algorithms, such as machine learning algorithms, can also be used to train and learn sensor data to improve the accuracy of falling into water detection. At the same time, the Bluetooth connection status is monitored to assist in falling into water detection. If it is always disconnected, it can also be further judged as falling into water.

[0102] In order to improve the safety of crew work, the smart bracelet designed by the present invention has a water fall detection function. It is judged comprehensively through multiple sensor data, including gravity acceleration sensor data, pressure sensor data, temperature sensor data and heart rate sensor data. The specific implementation method is as follows:

[0103] 1) A pressure sensor is installed inside the smart bracelet to detect the water pressure of the crew's environment. When the water pressure exceeds a certain threshold, it can be preliminarily judged that the crew has fallen into the water, triggering the water fall detection program. In addition, the data collected by the pressure sensor needs to be filtered and denoised to improve the accuracy of the data.

[0104] 2) The smart bracelet is equipped with a gravity acceleration sensor. By obtaining the current acceleration value, the gravity acceleration sensor detects the posture of the bracelet in real time, including angle and acceleration changes. Set specific posture thresholds, such as remaining still for a long time (which may indicate a fall into the water) or sudden and large posture changes (which may indicate a fall into the water impact). When the posture of the bracelet exceeds the threshold, the fall into the water detection program is triggered. Similarly, the data collected by the gravity acceleration sensor needs to be filtered and denoised to improve the accuracy of the data.

[0105] 3) There is a temperature sensor inside the smart bracelet. When the normal temperature of the human body is significantly different from the temperature of the bracelet's environment, it may indicate that a crew member may fall into the water, triggering the water fall detection program.

[0106] 4) The smart bracelet is equipped with a heart rate sensor. Under normal circumstances, the heart rate of the crew members fluctuates within a certain range. After falling into the water, the heart rate may experience a rapid rise and then a gradual decline, or there may be continuous irregular fluctuations, and it may suddenly speed up or slow down. By analyzing the trend of heart rate changes, it can assist in determining whether the crew has experienced a fall into the water, thereby triggering the fall into the water detection program.

[0107] The above sensors can preliminarily detect whether a crew member falls into the water, but they are prone to false triggering of the fall-in-water detection. For example, abnormal heart rate may also be caused by other factors, such as exercise, emotional excitement, etc. The present invention integrates acceleration data, pressure data, temperature data and heart rate data to design a fall-in-water detection algorithm.

[0108] Specifically, the collection of gravity acceleration data, pressure data, temperature data and heart rate data in step S22 to detect and warn crew members falling into water includes:

[0109] S221. Data preprocessing:

[0110] Data is collected through multiple sensors, including X-axis gravity acceleration data, Y-axis gravity acceleration data, Z-axis gravity acceleration data, pressure data, temperature data and heart rate data, and the collected data is filtered and denoised to extract feature information, and the feature information is standardized to obtain standardized data.

[0111] In one embodiment of the present invention, data including pressure value, gravitational acceleration (X, Y, Z axis), temperature and heart rate are collected through various sensors, and the collected data are filtered and denoised to improve the consistency and accuracy of the data; meaningful features are extracted, such as the resultant vector of acceleration, the rate of change of acceleration, the rate of change of temperature, fluctuation of heart rate, etc.; the features are standardized so that they have similar scales to facilitate SVM processing.

[0112] S222. Construct feature vector:

[0113] Combine the standardized data into a feature vector.

[0114] In one embodiment of the present invention, the preprocessed data is combined into a feature vector. For example, a feature vector may include the following elements: pressure value, resultant acceleration vector, acceleration X, Y, Z axis values, acceleration change rate (may be differential or derivative), temperature value, temperature change rate, heart rate value, heart rate fluctuation (such as standard deviation), etc.

[0115] S223, labeled dataset:

[0116] Positive samples: sensor data collected during a water fall event and marked as water fall data;

[0117] Negative samples: sensor data is collected during non-water-falling events and marked as non-water-falling data.

[0118] In one embodiment of the present invention, the positive sample is: sensor data collected during a water-falling event and labeled as “water-falling”.

[0119] Negative samples: sensor data is collected during non-water-falling events (such as normal activities, swimming, etc.) and marked as “non-water-falling”.

[0120] S224. Training support vector machine model:

[0121] In one embodiment of the present invention, a kernel function is selected: a suitable kernel function is selected according to the characteristics of the positive sample and the negative sample;

[0122] Parameter tuning: adjust the parameters of SVM;

[0123] Training model: Use the labeled falling-into-water data and non-falling-into-water data to train the SVM model.

[0124] S225, deployment and testing:

[0125] Deploy model: deploy the trained SVM model to the smart bracelet;

[0126] Real-time detection: the smart bracelet collects sensor data in real time, constructs the feature vector, and uses the SVM model for prediction;

[0127] Alarm and record: If the detection result is falling into the water, the alarm will be triggered and the relevant event information will be recorded to rescue the crew member in time.

[0128] In one embodiment of the present invention, the model is deployed: the trained SVM model is deployed in the smart bracelet.

[0129] Real-time detection: The smart bracelet collects sensor data in real time, constructs feature vectors, and uses the SVM model for prediction.

[0130] Alarm and record: If the detection result is "falling into water", the alarm will be triggered and relevant event information will be recorded. The sound of the bracelet will be used to attract the attention of other crew members, so that the fallen crew members can be rescued in time;

[0131] The water fall detection function requires continuous operation of sensors and algorithms, which may increase the power consumption of the wristband. Therefore, it is necessary to balance the relationship between power consumption and performance during design. For example, if a water fall is detected, the control program is set to turn off functions such as heart rate monitoring, and basic functions can be maintained.

[0132] 3. Waterproof function

[0133] In one embodiment of the present invention, the shell of the smart bracelet has good waterproof performance to prevent the bracelet from accidentally falling into water, and water from entering the inside of the bracelet to damage the circuit, thereby ensuring the normal operation of the circuit.

[0134] 4. Heart rate monitoring, body temperature monitoring

[0135] 5. Wrist support

[0136] In one embodiment of the present invention, the smart bracelet has more functions and more integrated sensors, the weight of the bracelet is increased, and a wrist support function is designed to protect the working wrists of crew members who work for long periods of time.

[0137] 6. Cluster optimization of the display console working status and crew working status

[0138] In one embodiment of the present invention, the cluster optimization of the working state of the display and control console and the working state of the crew according to the physiological data and the sensory data in step S23 includes:

[0139] Step S231: collecting display and control console environment information based on the physiological data and sensory data.

[0140] Step S232: Calculate the initial status score corresponding to each crew member using the fuzzy logic control algorithm based on the physiological data and the display console environment information, and establish a crew status model based on the initial status score corresponding to each crew member.

[0141] Step S233: Analyze the sensory data of the crew members through a collaborative filtering algorithm, identify crew members with similar evaluations in the same display and control console environment, and obtain a crew group model.

[0142] S234. Obtain representative sensory features by aggregate analysis of the crew's sensory data; identify crew members with similar evaluations under the same display console environment to obtain a crew group model;

[0143] S235. Calculate the precise status score corresponding to each crew member by weighted average according to the crew status model and representative sensory characteristics;

[0144] S236. According to the precise status score and the working environment data of the display and control console, an optimal working plan is formulated through a multi-objective optimization algorithm.

[0145] In one embodiment of the present invention, a smart bracelet cluster: multiple smart bracelets in the same indoor environment. The smart bracelet is connected to the central processor of the ship's display and control console via Bluetooth, and the collected encoded data is sent to the processor in real time via Bluetooth. The encoding of the data includes data weighting and standardized processing formulas to ensure the consistency and comparability of the data during transmission and analysis. The crew inputs their evaluation of the working status of the ship's display and control console (including feedback on ease of operation, display clarity, response speed, etc.) and their personal fatigue level through the interface of the smart bracelet, and these data will also be encoded and transmitted to the central processor of the ship's display and control console.

[0146] The implementation of personnel and display console management based on smart bracelet cluster is summarized as follows:

[0147] (1) Collect the physiological data and sensory data of the smart bracelets worn by multiple crew members, and collect the real-time environment of the display and control console (including working environment and working status). Physiological data mainly reflects the objective data of the crew's working status, mainly including heart rate, body temperature, blood pressure, etc.; sensory data mainly reflects the crew's feelings when working. Since the working status of the display and control console (including operation convenience, display clarity, response speed, etc.) will also affect the crew's feelings, the sensory data includes the crew's evaluation of the working status of the operating display and control console and the evaluation of personal work status (including fatigue level, emotional fluctuations, etc.). Use the fuzzy logic control algorithm to calculate the initial state score corresponding to each crew member, and establish a crew state model based on the initial state score corresponding to each crew member.

[0148] (2) The sensory data of the crew members are analyzed through the collaborative filtering algorithm, and the crew members with similar evaluations in the same display and control console working environment are identified to obtain the crew group model. Based on the crew status model and the crew group model, the precise status score corresponding to each crew member is calculated.

[0149] (3) Combined with the fitness function in the multi-objective optimization algorithm, the best work and optimization plan is generated according to the crew's corresponding precise status scores, realizing personalized and intelligent personnel management and display and control console management.

[0150] Through the above implementation, the following beneficial effects can be achieved:

[0151] Physiological data monitoring: The smart bracelet can monitor the crew's heart rate, blood pressure, blood oxygen saturation, sleep quality and other physiological data in real time. These data are of great significance for assessing the health status of the crew and timely discovering potential health problems.

[0152] Fatigue intensity monitoring: By analyzing the crew's activity level, sleep quality and other physiological data, the crew's fatigue intensity can be indirectly assessed; when the crew works for a long time or is under high-intensity pressure, the smart bracelet can issue a fatigue warning to remind the crew to pay attention to rest and avoid safety accidents.

[0153] Health risk assessment: Health risk assessment can be conducted by combining the physiological data and fatigue intensity of the crew; this helps to timely identify the health problems of the crew and take appropriate intervention measures to ensure the physical health of the crew. The crew can use the smart bracelet to input the evaluation of the working status of the display and control console, including feedback on the convenience of operation, display clarity, response speed, etc. These feedback data help to improve the design and function of the display and control console and enhance the operating experience of the crew. According to the results of data analysis, formulate corresponding management measures. For example, for crew members with poor health or excessive fatigue intensity, appropriate rest and rehabilitation training can be arranged; for problems with the display and control console, timely repairs and optimization can be carried out. Regularly evaluate and optimize the performance of the smart bracelet cluster and the display and control console. According to the feedback and needs of the crew, continuously improve the functions of the smart bracelet and the design of the display and control console to enhance the combat capability and maintenance efficiency of the ship.

[0154] In summary, by collecting the crew's physiological data, fatigue intensity, and feedback data on the display and control console through the smart bracelet cluster, effective monitoring and management of the crew and the display and control console can be achieved. This helps to improve the ship's combat capability, ensure the health of the crew, and optimize the design and function of the display and control console. The specific implementation methods are as follows:

[0155] (I) Calculate the initial status score of each crew member using the fuzzy logic control algorithm, and establish a crew status model based on the initial status score of each crew member, including:

[0156] Each smart bracelet in the cluster acts as a data node, and each smart bracelet has multiple sensors, including a heart rate sensor, and an interface that allows the crew to input their evaluation. Each smart bracelet has a stable Bluetooth communication function.

[0157] Fuzzy logic control algorithm: Calculate the initial comfort score of each crew member based on the collected crew physiological data and display and control console working environment data, and establish a crew comfort model based on the initial scores of each crew member.

[0158] The collected data is preprocessed first, including standardization and outlier removal, to eliminate the impact of different magnitudes and dimensions. The standardization formula is shown in formula (1):

[0159]

[0160] X represents the original data, Xmin and Xmax represent the minimum and maximum values ​​in the data set, respectively, and Xnorm represents the standardized data. In this way, all data are converted to the [0,1] interval for later processing. Next, the data is processed for outliers to ensure the quality and accuracy of the data. Outlier identification can be done using statistical methods, such as the Z-Score method, box plots, etc. Outliers are directly removed after being identified.

[0161] After completing data preprocessing, the data is fuzzy processed through membership function.

[0162] Design the fuzzy membership functions for the fuzzy logic control algorithm:

[0163] The fuzzy set of the display and control console working environment can be defined as {fast response time, good stability, etc.}.

[0164] Fuzzy set of crew physiological data: can be defined as {heart rate, temperature, blood pressure, etc.}.

[0165] Domain: The numerical range of the working status evaluation data of the display and control console (such as response time, stability index, etc.) and the physiological data of the crew (such as heart rate, blood pressure, work efficiency, etc.).

[0166] The general form of the Gaussian membership function is as follows:

[0167]

[0168] Among them, μ(x) is the membership of the data point x to a certain fuzzy set, c is the center (mean) of the fuzzy set, and σ is the standard deviation, which determines the width or fuzziness of the membership function.

[0169] For each fuzzy set, it is necessary to design corresponding membership functions for the working environment data of the display and control console and the physiological data of the crew.

[0170] Choosing the standard deviation σ: The standard deviation determines the width of the membership function. A smaller σ value makes the membership function sharper, and the data points need to be closer to the center to obtain a higher membership; a larger σ value makes the membership function flatter, and the data points can obtain a higher membership in a wider range.

[0171] Select center c: Select a suitable center value for each fuzzy set based on the data distribution and actual needs. For example, for heart rate data, the center of the "efficient" state can be set to a lower heart rate value, and the center of the "fatigue" state can be set to a higher heart rate value.

[0172] 1. Membership function of the display and control console working environment:

[0173] For the response time, an S-shaped membership function can be designed. When the response time is short, the degree of belonging to the "normal" set is higher; when the response time is long, the degree of belonging to the "severe abnormal" set is higher.

[0174] For the stability index, a Z-shaped membership function can be designed. When the stability index is higher, the degree of belonging to the "normal" set is higher; when the stability index decreases, the degree of belonging to the "slightly abnormal" or "severely abnormal" set gradually increases.

[0175] 2. Membership function of crew physiological data:

[0176] For heart rate and blood pressure, membership functions can be designed separately to divide the value range of heart rate and blood pressure into different intervals and correspond to different fuzzy sets. For example, a low heart rate belongs to the "high efficiency" set, a moderate heart rate belongs to the "medium efficiency" set, and a high heart rate may belong to the "low efficiency" or "fatigue" set.

[0177] For work efficiency, a membership function based on work completion time and task completion quality can be designed. When the work completion time is short and the task completion quality is high, the degree of belonging to the "efficient" set is high; otherwise, it may belong to the "inefficient" set.

[0178] Substitute each data point into the corresponding Gaussian membership function and calculate its membership to each fuzzy set. For each data point, you will get a membership vector, where each element corresponds to the membership of a fuzzy set. Based on the calculated membership, you can classify the data point into the most likely fuzzy set (for example, select the fuzzy set with the largest membership), or perform further analysis and processing based on the distribution of membership.

[0179] In the reasoning process, the AND, OR, and NOT operations of fuzzy logic are used to combine the premise conditions, and the aggregation operation of fuzzy logic is used to merge the conclusions of all rules. For example, if there are two rules: "When blood pressure is high, fatigue is high" and "If heart rate is high, fatigue is high", then in the aggregation operation, the fuzzy sets of the two conclusions can be merged through the fuzzy OR operation: as shown in formula (3):

[0180]

[0181] Among them, μ tired (x) represents the fuzzy set of fatigue degree, μ highheartrate (x) and μ highbloodpressure (x) represents the fuzzy set of high heart rate and high blood pressure, ° represents fuzzy AND operation; V represents fuzzy OR operation;

[0182] Finally, the aggregated fuzzy output set is defuzzified to obtain an initial state score. Defuzzification can be achieved by the centroid method, as shown in formula (4):

[0183]

[0184] Among them, x0 represents the initial state score after defuzzification, μ tired (x) is the aggregated fuzzy output set, and x is the score value. Through integral calculation, a representative score value, namely the initial state score, can be obtained.

[0185] A crew status model is established based on the initial comfort score of each crew member.

[0186] (II) Crew Group Model Construction Process

[0187] The crew sensory data is analyzed by a preset collaborative filtering algorithm, and similar sensory crew groups in the same indoor environment are identified, such as those who unanimously agree that the display and control console is stuck, to obtain a crew group model. Specifically, the similarity values ​​between the sensory items in the crew sensory data are calculated by a preset collaborative filtering algorithm, and a crew similarity matrix is ​​constructed based on the similarity values; the crew members corresponding to multiple smart bracelets in the same indoor environment are grouped according to the crew similarity matrix by a preset clustering algorithm to obtain a user group model. The specific implementation is as follows:

[0188] The core of the collaborative filtering algorithm is to calculate the similarity between the sensory items in the crew sensory data. This can be achieved through the cosine similarity formula, which is used to measure the angle between two crew sensory vectors to determine their similarity.

[0189] Through K-mean s The clustering algorithm can obtain a crew group model. Each group represents a collection of crew members with similar sensory characteristics. After obtaining the crew group model, it is necessary to aggregate and analyze the sensory data of the crew in each group to calculate the representative sensory characteristics, which can be achieved through the weighted average formula.

[0190] Method for constructing accurate crew status scoring

[0191] According to the representative sensory characteristics of the crew and the crew status model, the precise status score corresponding to each crew member is calculated. After obtaining the crew group model according to the construction method described in (ii), it is necessary to aggregate and analyze the sensory data of the crew in each group to calculate the representative sensory characteristics. This can be achieved through the weighted average formula.

[0192] Finally, the representative sensory features are combined with the crew status model, and a weighted approach is used to calculate the precise status score of each crew member.

[0193] (III) Optimal fitness value

[0194] The fitness function in the preset multi-objective optimization algorithm is used to score and calculate the optimal fitness value according to the precise status score of each crew member and the working environment of the display and control console, and the optimal working plan at the current moment is generated based on the optimal fitness value.

[0195] The present invention also proposes an electronic device, which includes a processor and a memory, wherein the memory stores program instructions, and the processor runs the program instructions to implement the control method of the ship display console equipped with the smart bracelet. The processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components; the memory may include a random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The memory can also be an internal memory of the random access memory (RAM) type, and the processor and memory can be integrated into one or more independent circuits or hardware, such as an application-specific integrated circuit (ASIC). It should be noted that the computer program in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the 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, an electronic device, or a network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention.

[0196] The present invention also proposes a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the control method of the ship display and control console equipped with the above-mentioned smart bracelet. The computer-readable storage medium can be an electronic medium, a magnetic medium, an optical medium, an electromagnetic medium, an infrared medium or a semiconductor system or a propagation medium. The computer-readable storage medium can also include a semiconductor or solid-state memory, a magnetic tape, a removable computer disk, a random access memory (RAM), a read-only memory (ROM), a hard disk and an optical disk. The optical disk can include a compact disk-read only memory (CD-ROM), a compact disk-read / write (CD-RW) and a DVD.

[0197] To sum up, the ship display and control console equipped with a smart bracelet and the control method thereof of the present invention, by being equipped with a smart bracelet, can realize real-time monitoring of the health status of the crew, provide timely health data for the ship commander, help prevent and respond to crew health problems, and improve the combat effectiveness of the ship.

[0198] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A ship display console equipped with a smart bracelet, characterized in that: include: A smart wristband (3) is used to monitor the health status of the crew in real time, wherein the health status includes physiological data and sensory data, and the smart wristband (3) is wirelessly connected to the display and control computer (1) via a Bluetooth interface; A control unit (4), which is a device for the crew to interact with the display and control console, and the control unit (4) is communicatively connected to the display and control computer (1); A display control computer (1) is used to receive and process the physiological data and sensory data, and send the processed data to a display (2); A display (2), used for displaying the processed data; A power supply control unit (5) is used to supply power to the display control computer (1), the display (2), and the control unit (4).

2. According to claim 1, a ship display and control console equipped with a smart bracelet is characterized in that: The display (2) is communicatively connected to the display control computer (1) via an HDMI interface and a USB interface.

3. According to claim 1, a ship display and control console equipped with a smart bracelet is characterized in that: The control unit (4) comprises a keyboard, a mouse, and a joystick, and the control unit (4) is communicatively connected to the display and control computer (1) via a USB interface.

4. A ship display and control console equipped with a smart bracelet according to any one of claims 1 to 3, characterized in that: The smart bracelet is used to be worn on the wrist of the crew member.

5. A control method for a ship display console equipped with a smart bracelet, characterized in that: A ship display and control console equipped with a smart bracelet as claimed in any one of claims 1 to 4, wherein the control method comprises: S1. Real-time monitoring of the health status of the crew members through the smart bracelet (3), wherein the health status includes physiological data and sensory data; S2, receiving and processing the physiological data and sensory data through the display control computer (1), and sending the processed data to the display (2); S3. Displaying the processed data via the display (2).

6. The control method of a ship display console equipped with a smart bracelet according to claim 5 is characterized in that: The step S2 of receiving and processing the physiological data and sensory data by the display control computer (1) comprises: S21, collecting crew characteristic information through the camera on the smart bracelet (3) for confirming the identity of the crew and viewing the display console environment information; S22, collect gravity acceleration data, pressure data, temperature data and heart rate data to detect and warn crew members falling into the water; S23. Based on the physiological data and sensory data, the cluster optimizes the working status of the display and control console and the crew members.

7. The control method of a ship display console equipped with a smart bracelet according to claim 6, characterized in that: The step S22 of collecting gravity acceleration data, pressure data, temperature data and heart rate data to detect and warn the crew members falling into the water includes: S221. Data preprocessing: Collecting data through multiple sensors, including X-axis gravity acceleration data, Y-axis gravity acceleration data, Z-axis gravity acceleration data, pressure data, temperature data, and heart rate data, and filtering and denoising the collected data to extract feature information, and standardizing the feature information to obtain standardized data; S222. Construct feature vector: Combine the standardized data into a feature vector; S223, labeled dataset: Positive samples: sensor data collected during a water fall event and marked as water fall data; Negative samples: collect sensor data during non-water-falling events and mark them as non-water-falling data; S224. Training support vector machine model: Select kernel function: select a suitable kernel function according to the characteristics of the positive sample and the negative sample; Parameter tuning: adjust the parameters of SVM; Training model: Use the labeled falling-into-water data and non-falling-into-water data to train the SVM model.

8. The control method of a ship display console equipped with a smart bracelet according to claim 7, characterized in that: The step S22 of collecting gravity acceleration data, pressure data, temperature data and heart rate data to detect and warn the crew falling into the water also includes: S225, deployment and testing: Deploy model: deploy the trained SVM model to the smart bracelet; Real-time detection: the smart bracelet collects sensor data in real time, constructs the feature vector, and uses the SVM model for prediction; Alarm and record: If the detection result is falling into the water, the alarm will be triggered and the relevant event information will be recorded to rescue the crew member in time.

9. The control method of a ship display console equipped with a smart bracelet according to claim 6, characterized in that: In step S23, cluster optimization of the working state of the display and control console and the working state of the crew according to the physiological data and sensory data includes: S231, collecting display and control console environment information based on the physiological data and sensory data; S232, calculating the initial state score corresponding to each crew member using a fuzzy logic control algorithm according to the physiological data and the display console environment information, and establishing a crew state model according to the initial state score corresponding to each crew member; S233, analyzing the sensory data of the crew members through collaborative filtering algorithm, identifying the crew members with similar evaluations in the same display console environment, and obtaining a crew group model; S234. Obtain representative sensory features by aggregate analysis of the crew's sensory data; identify crew members with similar evaluations under the same display console environment to obtain a crew group model; S235. Calculate the precise status score corresponding to each crew member by weighted average according to the crew status model and representative sensory characteristics; S236. According to the precise status score and the working environment data of the display and control console, an optimal working plan is formulated through a multi-objective optimization algorithm.

10. An electronic device, comprising a processor and a memory, wherein the memory stores program instructions, characterized in that: The processor runs program instructions to implement the control method of the ship display and control console equipped with a smart bracelet as described in any one of claims 5 to 9.

Images