Ship ventilation design and equipment integration cooperation system

Abstract

The invention, which relates to the technical field of ship automation, discloses a ship ventilation design and equipment integration cooperation system comprising a personnel positioning sensing module, an environmental parameter monitoring module, a central control processing module, a ventilation equipment execution module and a system cooperation integration module. The personnel positioning and sensing module is used for acquiring real-time personnel distribution data in a cabin and generating personnel position and density distribution information; the environmental parameter monitoring module is used for collecting environmental data of temperature, humidity and CO2 concentration of each area in a cabin to form an environmental state data set. According to the ship ventilation design and equipment integration cooperation system, through integration of a plurality of modules such as personnel positioning perception, environmental parameter monitoring, central control processing, ventilation equipment execution and system cooperation integration, accurate real-time monitoring of personnel distribution in a cabin and an environmental state is realized, comprehensiveness is improved, and the ship ventilation design and equipment integration cooperation system is suitable for popularization and application. And accurate generation and execution of the ventilation control instruction are ensured.

Description

Technical Field

[0001] This invention relates to the field of marine automation technology, specifically to a marine ventilation design and equipment integration and coordination system. Background Technology

[0002] The ship's ventilation system is a crucial component of the ship's automation technology system. It plays a vital role in maintaining air circulation within the cabins, regulating ambient temperature and humidity, and controlling the concentration of harmful gases, directly impacting the comfort of the crew, the stability of equipment operation, and the safety of navigation. As ships become increasingly intelligent, crew members have higher demands for cabin environmental quality. Simultaneously, the complex and ever-changing operating conditions of ships and the dynamic adjustments in personnel distribution make traditional ventilation systems insufficient to meet diverse and sophisticated control needs. There is an urgent need to utilize multi-module collaboration and intelligent control technologies to achieve efficient linkage between the ventilation system and personnel distribution, environmental conditions, and other ship systems, thereby improving the accuracy and energy efficiency of ventilation control.

[0003] Current ship ventilation technologies mostly employ fixed-area ventilation modes or single-control methods based on simple environmental parameters, which have significant limitations. Regarding personnel positioning, traditional methods rely on manual patrols or single-device monitoring, resulting in insufficient positioning accuracy and poor real-time performance, making it difficult to accurately capture dynamic distribution and density changes of personnel. Environmental monitoring often uses localized sensor deployments, leading to incomplete data coverage and fixed threshold standards, failing to adapt to the dynamic needs of different functional areas and navigation conditions. Ventilation control logic lacks adaptive adjustment capabilities, making it difficult to differentiate adjustments based on real-time changes in personnel and the environment, easily resulting in energy waste or poor ventilation effects. Furthermore, data exchange between the ventilation system and shipboard fire protection, security, and energy efficiency management systems is poor, resulting in weak collaborative capabilities and an need to improve emergency response efficiency. To address these issues, we propose a ship ventilation design and equipment integration collaborative system. Summary of the Invention

[0004] To address the aforementioned technical problems, a ship ventilation design and equipment integration and coordination system is provided. This technical solution solves the problems of personnel positioning relying on manual labor or single equipment, insufficient accuracy and real-time performance, difficulty in capturing dynamic personnel distribution; incomplete environmental monitoring coverage and fixed thresholds, unable to adapt to different working conditions and regional needs; lack of adaptive ventilation control, lack of differentiated regulation leading to energy waste; and weak coordination with other ship systems, resulting in low emergency response efficiency.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A ship ventilation design and equipment integration and coordination system includes: a personnel positioning and sensing module, an environmental parameter monitoring module, a central control and processing module, a ventilation equipment execution module, and a system coordination and integration module; The personnel positioning and sensing module is used to acquire real-time personnel distribution data inside the cabin and generate personnel location and density distribution information. The environmental parameter monitoring module is used to collect environmental data such as temperature, humidity and CO2 concentration in various areas of the cabin to form an environmental status dataset. The central control processing module is connected to the first two modules respectively, and integrates and analyzes personnel distribution information and environmental data to generate differentiated ventilation control instructions; The ventilation equipment execution module receives control commands and adjusts the operating status of the ventilation equipment in the corresponding area. The system integration module enables data interaction and coordinated control between the ventilation system and other ship systems.

[0006] Preferably, the personnel positioning and sensing module specifically includes: Deploy RFID positioning equipment, infrared thermal imagers, and multi-band signal receiving devices to construct a three-dimensional positioning network covering the entire ship cabin. The RFID positioning equipment obtains the initial position information of personnel by identifying the RFID tags carried by the personnel. The infrared thermal imager captures thermal images of personnel in the cabin in real time and extracts the personnel outline and position coordinates. The multi-band signal receiving device receives the signals emitted by the terminals carried by the personnel and calculates the precise position of the personnel by using the signal strength and propagation time difference. The location data obtained from the three positioning methods are fused and processed. A data calibration algorithm is used to correct positioning deviations, abnormal data points are removed, and a distribution information dataset containing real-time coordinates of personnel, their location, and the density of personnel in the area is generated. The dataset is updated at preset time intervals and transmitted to the central control processing module.

[0007] Preferably, the personnel positioning and sensing module further includes: Establish a cabin area division model, divide the entire ship into several independent control areas according to cabin function and spatial structure, assign a unique identifier code to each area, and associate the area boundary coordinates with the ventilation equipment control unit. Based on the personnel distribution information dataset, the number of people, their movement trajectories, and their dwell time in each control area are counted to generate dynamic characteristic data of the personnel in the area. An abnormal personnel distribution detection mechanism is set up so that when the personnel density in a certain area exceeds a preset threshold or the personnel location data shows continuous abnormalities, an alarm signal is automatically triggered and synchronized to the central control processing module and the ship's security system.

[0008] Preferably, the environmental parameter monitoring module specifically includes: Temperature and humidity sensors, CO2 sensors, and air quality sensors are evenly deployed in each cabin control area. Each sensor corresponds to a unique area identifier and collects environmental parameter data at fixed time intervals. The temperature and humidity sensors detect the air temperature and relative humidity in the area, the CO2 sensors monitor changes in carbon dioxide concentration, and the air quality sensors capture the content of particulate matter and harmful gases in the air. The collected raw environmental data is preprocessed, including data filtering, outlier removal, and format standardization. The processed environmental data is then associated with the corresponding area identifier and collection timestamp to construct a regional environmental status dataset. The dataset is transmitted to the central control and processing module in real time through a combination of wired and wireless backup transmission, and simultaneously stored in the local database.

[0009] Preferably, the environmental parameter monitoring module further includes: Establish an environmental parameter threshold standard system, and preset corresponding temperature, humidity, CO2 concentration and air quality qualified threshold ranges for different cabin functional areas and personnel density ranges. The threshold ranges are dynamically adjusted according to the ship's navigation conditions, personnel activity intensity and shipping standards. The system compares the collected environmental parameters with the corresponding threshold range in real time. When a parameter exceeds the threshold, it is marked as an abnormal environmental state. The system records the type of abnormal parameter, its location, the degree of exceedance, and the duration. It generates an environmental anomaly warning information and transmits it synchronously with the environmental state dataset to the central control and processing module.

[0010] Preferably, the central control processing module specifically includes: The system receives personnel distribution information datasets transmitted by the personnel positioning and sensing module and environmental status datasets transmitted by the environmental parameter monitoring module. Taking the cabin control area as a unit, it establishes the correlation mapping relationship between personnel distribution and environmental parameters and constructs a multi-dimensional data fusion model. The model performs in-depth analysis of the associated data and, combined with the preset ventilation control logic, calculates the required air volume, air velocity, and air temperature parameters for each area. Based on the calculation results, differentiated ventilation control instructions are generated. The instructions include the target control area identifier, ventilation equipment operating parameters, adjustment duration and execution priority. They are transmitted to the ventilation equipment execution module through a communication protocol. At the same time, the instruction generation time, the data on which they are based and the parameter details are recorded in the system log.

[0011] Preferably, the central control processing module further includes: an embedded adaptive ventilation control algorithm, which dynamically optimizes ventilation control parameters based on historical operating data, real-time changes in personnel distribution and fluctuations in environmental parameters. When a sudden change in the density of personnel in the area is detected due to personnel movement, the control command generation cycle is automatically adjusted to speed up parameter calculation and command issuance. Establish a control effect feedback and evaluation mechanism to receive equipment operation status data returned by the ventilation equipment execution module and environmental data updated by the environmental parameter monitoring module, compare the changes in environmental parameters before and after ventilation adjustment, evaluate the effect of control command execution, and automatically recalculate and issue optimized control commands if the adjusted environmental parameters do not meet the preset standards.

[0012] Preferably, the ventilation equipment execution module specifically includes: a number of ventilation units, intelligent air outlet devices, frequency conversion control units and wind speed adjustment mechanisms. Each ventilation unit corresponds to multiple cabin control areas. The intelligent air outlet devices are installed at the air outlet positions of each area. The frequency conversion control units are electrically connected to the ventilation units. The wind speed adjustment mechanisms are linked with the intelligent air outlet devices. The system receives ventilation control commands from the central control processing module, parses the area identifier and operating parameters in the commands, adjusts the power supply frequency of the ventilation unit according to the commands, changes the unit speed to control the air volume, the intelligent air outlet device adjusts the air outlet angle and opening degree according to the commands, and the wind speed adjustment mechanism adjusts the airflow speed to achieve precise control of ventilation parameters in the corresponding area. Real-time data collection of ventilation equipment operating status, including unit speed, power supply current, air outlet opening degree and operating temperature, is fed back to the central control processing module and system integration module.

[0013] Preferably, the ventilation equipment execution module further includes: setting up an equipment fault detection and protection unit to monitor the operating status data of the ventilation equipment in real time. When the unit overload, abnormal current, excessive temperature or air outlet jamming fault is detected, the equipment protection mechanism is immediately triggered to stop the operation of the faulty equipment and switch to the standby equipment. At the same time, fault alarm information is generated, including the faulty equipment number, fault type, occurrence time and fault location, and transmitted to the central control processing module and the ship operation and maintenance management system. Establish an equipment maintenance reminder mechanism. Based on equipment runtime, cumulative operating load, and historical fault data, calculate the equipment maintenance cycle. When the equipment approaches the maintenance threshold, automatically generate a maintenance reminder signal to notify maintenance personnel to carry out maintenance in advance.

[0014] Preferably, the system collaborative integration module specifically includes: using an open communication protocol to build a data interaction channel between the ventilation system and the ship's intelligent energy efficiency management platform, fire protection system, air conditioning system and security system, so as to realize real-time data sharing and command communication between the various systems; When the ship is in different navigation conditions or encounters special circumstances, the system integration module receives linkage control signals from other systems. When the fire protection system triggers a fire alarm, it automatically cuts off the operation of the ventilation equipment in the fire area and closes the corresponding air vents, while linking the ventilation equipment in other areas to adjust their operating status. Integrate and process the operation data of the ventilation system, personnel distribution information, and environmental parameter data, and transmit them to the ship's central monitoring platform in a preset format to achieve centralized monitoring and unified management of the operating status of the entire system. At the same time, receive the global control instructions issued by the ship's central monitoring platform and coordinate the collaborative operation of the ventilation system and other systems.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The ship ventilation design and equipment integration collaborative system proposed by the present invention integrates multiple modules such as personnel positioning perception, environmental parameter monitoring, central control processing, ventilation equipment execution, and system collaborative integration, achieving precise real-time monitoring of the personnel distribution and environmental status in the cabin, as well as intelligent and differential regulation of the ventilation system. Using multi-source data fusion technology, it improves the positioning accuracy and comprehensiveness of environmental monitoring, ensures the precise generation and execution of ventilation control instructions. The embedded adaptive ventilation control algorithm can dynamically adjust control parameters according to real-time data, enhancing the flexibility and energy efficiency of ventilation control. It also has a fault detection and protection mechanism, enhancing the operation safety and maintenance efficiency of the equipment. Through an open communication protocol, the system realizes data interaction and linkage control with other ship systems, improving the overall operation efficiency and emergency response ability of the entire ship system, and providing a safer and more comfortable environmental guarantee for ship navigation. Brief Description of the Drawings

[0016] Figure 1 It is the system framework diagram of the present invention. Detailed Embodiments

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0018] Refer to Figure 1 As shown, a ship ventilation design and equipment integration collaborative system includes: a personnel positioning perception module, an environmental parameter monitoring module, a central control processing module, a ventilation equipment execution module, and a system collaborative integration module; The personnel positioning perception module is used to obtain the real-time personnel distribution data in the cabin and generate personnel position and density distribution information; The personnel positioning perception module specifically includes: RFID positioning equipment, infrared thermal imagers, and multi-band signal receivers are deployed to construct a three-dimensional positioning network covering the entire ship's cabin. The RFID positioning equipment obtains the initial location information of personnel by identifying the RFID tags they carry. The infrared thermal imager captures thermal images of personnel in the cabin in real time, extracting their outlines and location coordinates. The multi-band signal receivers receive signals emitted by personnel's terminals, specifically covering three core signal types: first, UWB signals (3.1-10.6GHz band), which have strong anti-metal shielding capabilities and support centimeter-level high-precision positioning; second, low-power Bluetooth signals (2.4GHz ISM band), which achieve area blind spot compensation and assisted positioning through the iBeacon protocol; and third, LoRa signals (433 / 868 / 915MHz band), which have low-power long-distance transmission characteristics, ensuring stable data transmission, while also being compatible with BeiDou short message signals to cope with scenarios in the open sea without public networks. Finally, the precise location of personnel is calculated by signal strength and propagation time difference. The location data obtained from the three positioning methods are fused and processed. A data calibration algorithm is used to correct positioning deviations, abnormal data points are removed, and a distribution information dataset containing real-time coordinates of personnel, their location, and the density of personnel in the area is generated. The dataset is updated at preset time intervals and transmitted to the central control processing module.

[0019] Assume the three positioning methods provide the following location coordinates: , and The position after fusion is It can be calculated using a weighted average, where the weights are based on the reliability of each positioning method. The formula is as follows: In the formula, The position after fusion. , , These represent the weights of RFID, infrared thermal imager, and multi-band signal reception, respectively. The weight values ​​can be dynamically adjusted based on historical positioning errors or equipment calibration data. This formula reflects the weighted integration of multi-source data during the data fusion process to improve positioning accuracy.

[0020] The personnel positioning and sensing module also includes: Establish a cabin area division model, divide the entire ship into several independent control areas according to cabin function and spatial structure, assign a unique identifier code to each area, and associate the area boundary coordinates with the ventilation equipment control unit. Based on the personnel distribution information dataset, the number of people, their movement trajectories, and their dwell time in each control area are counted to generate dynamic characteristic data of the personnel in the area. An abnormal personnel distribution detection mechanism is set up so that when the personnel density in a certain area exceeds a preset threshold or the personnel location data shows continuous abnormalities, an alarm signal is automatically triggered and synchronized to the central control processing module and the ship's security system.

[0021] When using it, please refer to the above: In the current context of ship ventilation control, traditional methods typically rely on fixed area division or manual patrols to obtain personnel distribution, which suffers from drawbacks such as low positioning accuracy, poor real-time performance, and inability to dynamically respond to personnel movement, leading to delayed ventilation control or wasted resources. This step, by constructing a three-dimensional positioning network and a multi-source data fusion mechanism, achieves accurate real-time monitoring of personnel location and density. Combined with area division and anomaly detection, it improves the ventilation system's response speed and accuracy to dynamic changes in personnel, providing reliable data support for differentiated ventilation control, while also enhancing the ship's security linkage capabilities.

[0022] The environmental parameter monitoring module is used to collect environmental data such as temperature, humidity and CO2 concentration in various areas of the cabin to form an environmental status dataset. The environmental parameter monitoring module specifically includes: Temperature and humidity sensors, CO2 sensors, and air quality sensors are evenly deployed in each cabin control area. Each sensor corresponds to a unique area identifier and collects environmental parameter data at fixed time intervals. The temperature and humidity sensors detect the air temperature and relative humidity in the area, the CO2 sensors monitor changes in carbon dioxide concentration, and the air quality sensors capture the content of particulate matter and harmful gases in the air. The collected raw environmental data is preprocessed, including data filtering, outlier removal, and format standardization. The processed environmental data is then associated with the corresponding area identifier and collection timestamp to construct a regional environmental status dataset. The dataset is transmitted to the central control and processing module in real time through a combination of wired and wireless backup transmission, and simultaneously stored in the local database.

[0023] The environmental parameter monitoring module also includes: Establish an environmental parameter threshold standard system, and preset corresponding temperature, humidity, CO2 concentration and air quality qualified threshold ranges for different cabin functional areas and personnel density ranges. The threshold ranges are dynamically adjusted according to the ship's navigation conditions, personnel activity intensity and shipping standards. The system compares the collected environmental parameters with the corresponding threshold range in real time. When a parameter exceeds the threshold, it is marked as an abnormal environmental state. The system records the type of abnormal parameter, its location, the degree of exceedance, and the duration. It generates an environmental anomaly warning information and transmits it synchronously with the environmental state dataset to the central control and processing module.

[0024] When using it, please refer to the above: In existing ship environmental monitoring practices, traditional methods typically rely on single sensors or periodic manual recording, which suffers from shortcomings such as incomplete data coverage, insufficient real-time performance, and rigid threshold standards, making it difficult to adapt to the complex and ever-changing cabin environment and personnel activities. This step, through the collaborative deployment of multiple sensors and dynamic threshold adjustment, achieves comprehensive and accurate monitoring and intelligent early warning of environmental parameters, improves the ventilation system's ability to quickly identify and respond to environmental anomalies, provides high-quality data input to the central control and processing module, and effectively ensures cabin air quality and personnel comfort.

[0025] The central control processing module is connected to the first two modules respectively, and integrates and analyzes personnel distribution information and environmental data to generate differentiated ventilation control instructions; The central control processing module specifically includes: The system receives personnel distribution information datasets transmitted by the personnel positioning and sensing module and environmental status datasets transmitted by the environmental parameter monitoring module. Taking the cabin control area as a unit, it establishes the correlation mapping relationship between personnel distribution and environmental parameters and constructs a multi-dimensional data fusion model. The model performs in-depth analysis of the associated data and, combined with the preset ventilation control logic, calculates the required air volume, air velocity, and air temperature parameters for each area. air volume (Unit: m³ / s) mainly depends on the population density of the area. (Unit: people / m²) and concentration (Unit: ppm), while also considering basic ventilation requirements. The formula is as follows: In the formula, It is the personnel density coefficient (unit: m³ / (s·person)), which represents the air volume required per unit personnel density; yes Concentration coefficient (unit: m³ / (s·ppm)) represents Compensation air supply volume when the concentration exceeds the standard; yes Concentration threshold (unit: ppm) is dynamically set according to the functional areas of the cabin. This is the basic air supply volume (unit: m³ / s), used to maintain minimum ventilation requirements. This formula reflects the generation logic of ventilation control commands, through a linear combination of personnel density and... Concentration deviations enable differentiated ventilation adjustments.

[0026] Based on the calculation results, differentiated ventilation control instructions are generated. The instructions include the target control area identifier, ventilation equipment operating parameters, adjustment duration and execution priority. They are transmitted to the ventilation equipment execution module through a communication protocol. At the same time, the instruction generation time, the data on which they are based and the parameter details are recorded in the system log.

[0027] In the adaptive ventilation control algorithm of the central control processing module, control parameters (such as coefficients in the air volume calculation) are... and This requires dynamic optimization based on historical operating data and real-time feedback. Assuming a control effect feedback evaluation mechanism, the system adjusts parameters according to environmental parameter errors to minimize... Concentration deviation. The parameter update formula is as follows: In the formula, , This is the current parameter value; , These are the updated parameter values; The goal Concentration (unit: ppm); This is the current measurement. Concentration (unit: ppm); , It is the learning rate (unit: 1 / (ppm·person) and 1 / ppm²), which controls the speed of parameter adjustment, and is set based on historical data training or experience.

[0028] This formula demonstrates how adaptive algorithms dynamically adjust control parameters based on real-time errors to improve system response speed and control accuracy.

[0029] The central control processing module also includes: an embedded adaptive ventilation control algorithm, which dynamically optimizes ventilation control parameters based on historical operating data, real-time changes in personnel distribution and fluctuations in environmental parameters. When a sudden change in the density of personnel in the area is detected due to personnel movement, the control command generation cycle is automatically adjusted to speed up parameter calculation and command issuance. Establish a control effect feedback and evaluation mechanism to receive equipment operation status data returned by the ventilation equipment execution module and environmental data updated by the environmental parameter monitoring module, compare the changes in environmental parameters before and after ventilation adjustment, evaluate the effect of control command execution, and automatically recalculate and issue optimized control commands if the adjusted environmental parameters do not meet the preset standards.

[0030] When using it, please refer to the above: In existing ship ventilation control systems, traditional methods typically employ fixed control logic or manual intervention, lacking multi-source data fusion and adaptive adjustment capabilities. This results in slow ventilation control response, low energy efficiency, and large fluctuations in environmental parameters. This step, by constructing a multi-dimensional data fusion model and embedding adaptive algorithms, achieves intelligent correlation analysis and dynamic optimization control of personnel distribution and environmental parameters. This significantly improves the accuracy and timeliness of ventilation commands. Combined with a feedback evaluation mechanism, a closed-loop control is formed, effectively improving system energy efficiency and cabin environmental stability.

[0031] The ventilation equipment execution module receives control commands and adjusts the operating status of the ventilation equipment in the corresponding area. The ventilation equipment execution module specifically includes: several ventilation units, intelligent air outlet devices, frequency conversion control units and wind speed adjustment mechanisms. Each ventilation unit corresponds to multiple cabin control areas. Intelligent air outlet devices are installed at the air outlet positions of each area. The frequency conversion control unit is electrically connected to the ventilation unit. The wind speed adjustment mechanism is linked with the intelligent air outlet devices. The system receives ventilation control commands from the central control processing module, parses the area identifier and operating parameters in the commands, adjusts the power supply frequency of the ventilation unit according to the commands, changes the unit speed to control the air volume, the intelligent air outlet device adjusts the air outlet angle and opening degree according to the commands, and the wind speed adjustment mechanism adjusts the airflow speed to achieve precise control of ventilation parameters in the corresponding area. Real-time data collection of ventilation equipment operating status, including unit speed, power supply current, air outlet opening degree and operating temperature, is fed back to the central control processing module and system integration module.

[0032] The ventilation equipment execution module also includes: setting up an equipment fault detection and protection unit to monitor the operating status data of the ventilation equipment in real time. When the unit overload, abnormal current, excessive temperature or air outlet jamming is detected, the equipment protection mechanism is immediately triggered to stop the operation of the faulty equipment and switch to the standby equipment. At the same time, fault alarm information is generated, including the faulty equipment number, fault type, occurrence time and fault location, and transmitted to the central control processing module and the ship operation and maintenance management system. Establish an equipment maintenance reminder mechanism. Based on equipment runtime, cumulative operating load, and historical fault data, calculate the equipment maintenance cycle. When the equipment approaches the maintenance threshold, automatically generate a maintenance reminder signal to notify maintenance personnel to carry out maintenance in advance.

[0033] When using it, please refer to the above: In the context of existing ship ventilation equipment control, traditional methods typically rely on manual adjustment or simple automation, which suffers from drawbacks such as low control precision, slow fault response, and reliance on manual experience for maintenance, easily leading to shortened equipment lifespan and decreased system reliability. This step, by integrating frequency conversion control, intelligent air outlets, and wind speed adjustment mechanisms, achieves precise execution and real-time feedback of ventilation parameters. Combined with fault detection and maintenance reminder mechanisms, it improves equipment operation safety and maintenance efficiency, effectively reduces operation and maintenance costs, and ensures the continuous and stable operation of the ventilation system.

[0034] The system integration module enables data interaction and coordinated control between the ventilation system and other ship systems.

[0035] The system collaboration and integration module specifically includes: using an open communication protocol to build a data interaction channel between the ventilation system and the ship's intelligent energy efficiency management platform, fire protection system, air conditioning system and security system, so as to realize real-time data sharing and command communication between the various systems; When the ship is in different navigation conditions or encounters special circumstances, the system integration module receives linkage control signals from other systems. When the fire protection system triggers a fire alarm, it automatically cuts off the operation of the ventilation equipment in the fire area and closes the corresponding air vents, while linking the ventilation equipment in other areas to adjust their operating status. The system integrates and processes ventilation system operation data, personnel distribution information, and environmental parameter data, and transmits them to the ship's central monitoring platform in a preset format to achieve centralized monitoring and unified management of the entire system's operating status. At the same time, it receives global control commands issued by the ship's central monitoring platform to coordinate the operation of the ventilation system with other systems.

[0036] When using it, please refer to the above: In existing ship system integration practices, traditional ventilation systems often operate independently, lacking data sharing and linkage control with other systems, leading to resource waste, response delays, and safety hazards. This step, by constructing an open data interaction channel and a multi-system linkage mechanism, realizes intelligent collaboration between the ventilation system and energy efficiency, fire protection, air conditioning, and security systems, improving the overall operational efficiency and safety of the entire ship system, especially enabling rapid response in emergency situations, ensuring ship navigation safety and energy efficiency optimization.

[0037] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A ship ventilation design and equipment integration and coordination system, characterized in that, include: The system includes a personnel positioning and sensing module, an environmental parameter monitoring module, a central control and processing module, a ventilation equipment execution module, and a system collaboration and integration module. The personnel positioning and sensing module is used to acquire real-time personnel distribution data inside the cabin and generate personnel location and density distribution information. The environmental parameter monitoring module is used to collect environmental data such as temperature, humidity and CO2 concentration in various areas of the cabin to form an environmental status dataset. The central control processing module is connected to the first two modules respectively, and integrates and analyzes personnel distribution information and environmental data to generate differentiated ventilation control instructions; The ventilation equipment execution module receives control commands and adjusts the operating status of the ventilation equipment in the corresponding area. The system integration module enables data interaction and coordinated control between the ventilation system and other ship systems.

2. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The personnel location and perception module specifically includes: Deploy RFID positioning equipment, infrared thermal imagers, and multi-band signal receiving devices to construct a three-dimensional positioning network covering the entire ship cabin. The RFID positioning equipment obtains the initial position information of personnel by identifying the RFID tags carried by the personnel. The infrared thermal imager captures thermal images of personnel in the cabin in real time and extracts the personnel outline and position coordinates. The multi-band signal receiving device receives the signals emitted by the terminals carried by the personnel and calculates the precise position of the personnel by using the signal strength and propagation time difference. The location data obtained from the three positioning methods are fused and processed. A data calibration algorithm is used to correct positioning deviations, abnormal data points are removed, and a distribution information dataset containing real-time coordinates of personnel, their location, and the density of personnel in the area is generated. The dataset is updated at preset time intervals and transmitted to the central control processing module.

3. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The personnel positioning and sensing module also includes: Establish a cabin area division model, divide the entire ship into several independent control areas according to cabin function and spatial structure, assign a unique identifier code to each area, and associate the area boundary coordinates with the ventilation equipment control unit. Based on the personnel distribution information dataset, the number of people, their movement trajectories, and their dwell time in each control area are counted to generate dynamic characteristic data of the personnel in the area. An abnormal personnel distribution detection mechanism is set up so that when the personnel density in a certain area exceeds a preset threshold or the personnel location data shows continuous abnormalities, an alarm signal is automatically triggered and synchronized to the central control processing module and the ship's security system.

4. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The environmental parameter monitoring module specifically includes: Temperature and humidity sensors, CO2 sensors, and air quality sensors are evenly deployed in each cabin control area. Each sensor corresponds to a unique area identifier and collects environmental parameter data at fixed time intervals. The temperature and humidity sensors detect the air temperature and relative humidity in the area, the CO2 sensors monitor changes in carbon dioxide concentration, and the air quality sensors capture the content of particulate matter and harmful gases in the air. The collected raw environmental data is preprocessed, including data filtering, outlier removal, and format standardization. The processed environmental data is then associated with the corresponding area identifier and collection timestamp to construct a regional environmental status dataset. The dataset is transmitted to the central control and processing module in real time through a combination of wired and wireless backup transmission, and simultaneously stored in the local database.

5. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The environmental parameter monitoring module also includes: Establish an environmental parameter threshold standard system, and preset corresponding temperature and humidity for different cabin functional areas and personnel density ranges. The concentration and air quality compliance threshold range, which is dynamically adjusted according to the ship's navigation conditions, the intensity of personnel activities, and shipping standards; The system compares the collected environmental parameters with the corresponding threshold range in real time. When a parameter exceeds the threshold, it is marked as an abnormal environmental state. The system records the type of abnormal parameter, its location, the degree of exceedance, and the duration. It generates an environmental anomaly warning information and transmits it synchronously with the environmental state dataset to the central control and processing module.

6. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The central control processing module specifically includes: The system receives personnel distribution information datasets transmitted by the personnel positioning and sensing module and environmental status datasets transmitted by the environmental parameter monitoring module. Taking the cabin control area as a unit, it establishes the correlation mapping relationship between personnel distribution and environmental parameters and constructs a multi-dimensional data fusion model. The model performs in-depth analysis of the associated data and, combined with the preset ventilation control logic, calculates the required air volume, air velocity, and air temperature parameters for each area. Based on the calculation results, differentiated ventilation control instructions are generated. The instructions include the target control area identifier, ventilation equipment operating parameters, adjustment duration and execution priority. They are transmitted to the ventilation equipment execution module through a communication protocol. At the same time, the instruction generation time, the data on which they are based and the parameter details are recorded in the system log.

7. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The central control processing module also includes: an embedded adaptive ventilation control algorithm, which dynamically optimizes ventilation control parameters based on historical operating data, real-time changes in personnel distribution and fluctuations in environmental parameters. When a sudden change in the density of personnel in the area is detected due to personnel movement, the control command generation cycle is automatically adjusted to speed up parameter calculation and command issuance. Establish a control effect feedback and evaluation mechanism to receive equipment operation status data returned by the ventilation equipment execution module and environmental data updated by the environmental parameter monitoring module, compare the changes in environmental parameters before and after ventilation adjustment, evaluate the effect of control command execution, and automatically recalculate and issue optimized control commands if the adjusted environmental parameters do not meet the preset standards.

8. The ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The ventilation equipment execution module specifically includes: several ventilation units, intelligent air outlet devices, frequency conversion control units and wind speed adjustment mechanisms. Each ventilation unit corresponds to multiple cabin control areas. Intelligent air outlet devices are installed at the air outlet positions of each area. The frequency conversion control unit is electrically connected to the ventilation unit. The wind speed adjustment mechanism is linked with the intelligent air outlet devices. The system receives ventilation control commands from the central control processing module, parses the area identifier and operating parameters in the commands, adjusts the power supply frequency of the ventilation unit according to the commands, changes the unit speed to control the air volume, the intelligent air outlet device adjusts the air outlet angle and opening degree according to the commands, and the wind speed adjustment mechanism adjusts the airflow speed to achieve precise control of ventilation parameters in the corresponding area. Real-time data collection of ventilation equipment operating status, including unit speed, power supply current, air outlet opening degree and operating temperature, is fed back to the central control processing module and system integration module.

9. A ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The ventilation equipment execution module also includes: setting up an equipment fault detection and protection unit to monitor the operating status data of the ventilation equipment in real time. When the unit overload, abnormal current, excessive temperature or air outlet jamming is detected, the equipment protection mechanism is immediately triggered to stop the operation of the faulty equipment and switch to the standby equipment. At the same time, fault alarm information is generated, including the faulty equipment number, fault type, occurrence time and fault location, and transmitted to the central control processing module and the ship operation and maintenance management system. Establish an equipment maintenance reminder mechanism. Based on equipment runtime, cumulative operating load, and historical fault data, calculate the equipment maintenance cycle. When the equipment approaches the maintenance threshold, automatically generate a maintenance reminder signal to notify maintenance personnel to carry out maintenance in advance.

10. A ship ventilation design and equipment integration and coordination system according to claim 1, characterized in that, The system collaboration and integration module specifically includes: using an open communication protocol to build a data interaction channel between the ventilation system and the ship's intelligent energy efficiency management platform, fire protection system, air conditioning system and security system, so as to realize real-time data sharing and command communication between the various systems; When the ship is in different navigation conditions or encounters special circumstances, the system integration module receives linkage control signals from other systems. When the fire protection system triggers a fire alarm, it automatically cuts off the operation of the ventilation equipment in the fire area and closes the corresponding air vents, while linking the ventilation equipment in other areas to adjust their operating status. The system integrates and processes ventilation system operation data, personnel distribution information, and environmental parameter data, and transmits them to the ship's central monitoring platform in a preset format to achieve centralized monitoring and unified management of the entire system's operating status. At the same time, it receives global control commands issued by the ship's central monitoring platform to coordinate the operation of the ventilation system with other systems.

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