Data transmission method and system for automobile and ship temperature monitoring

Abstract

The invention discloses a data transmission method and system for automobile and ship temperature monitoring. The method comprises the following steps: acquiring temperature data of a plurality of automobile placing areas of an automobile and ship; according to the temperature data, determining a temperature rise risk corresponding to each vehicle placing area; determining a transmission strategy corresponding to each piece of temperature data according to the temperature rise risk and a region parameter corresponding to the vehicle placement region; according to the transmission strategy, the temperature data and the corresponding temperature rise risk are sent to a shore end server; and the shore end server determines whether to carry out temperature rise alarm on the vehicle placing area according to the temperature rise risk and the temperature data. According to the invention, accurate data transmission and risk early warning based on temperature and regional characteristics can be realized, the safety management efficiency of the vehicle placing region of the vehicle ship is improved, and the risk of temperature rise accidents is reduced.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a data transmission method and system for monitoring the temperature of automobiles and ships. Background Technology

[0002] With the continuous growth in safety requirements for car carrier transportation, shipping companies are increasingly emphasizing the improvement of safety management in car carrier parking areas through accurate temperature data transmission and risk warnings. However, due to the large size of car carriers, numerous sensors are needed for temperature monitoring, making the efficient and rational transmission of the resulting large volume of temperature data a critical technical challenge. Existing technologies typically collect temperature data from car carrier parking areas and send it to a shore-based server using fixed data transmission protocols or simple risk threshold analysis. This data is then used to trigger temperature rise alarms based on general rules, thus ensuring transportation safety. However, existing solutions lack dynamic analysis of temperature rise risks and regional characteristics in each area, making it difficult to develop targeted data transmission strategies. The commonly used uniform transmission and alarm mechanisms are unsuitable for complex environments with multiple areas, resulting in low data transmission efficiency and insufficient warning accuracy. This can delay the timely handling of temperature rise incidents, limiting the efficiency and reliability of car carrier safety management. Therefore, existing technologies have shortcomings that urgently need to be addressed. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a data transmission method and system for temperature monitoring of car ships, which can realize accurate data transmission and risk warning based on temperature and regional characteristics, improve the safety management efficiency of car ship parking areas, and reduce the risk of temperature rise accidents.

[0004] To address the aforementioned technical problems, the first aspect of this invention discloses a data transmission method for monitoring the temperature of automobiles and ships, the method comprising:

[0005] Acquire temperature data from multiple vehicle storage areas on the car-boat;

[0006] Based on the temperature data, determine the risk of temperature rise corresponding to each of the vehicle placement areas;

[0007] Based on the temperature rise risk and the area parameters corresponding to the vehicle parking area, determine the transmission strategy corresponding to each temperature data;

[0008] According to the transmission strategy, the temperature data and the corresponding temperature rise risk are sent to the shore server; the shore server determines whether to issue a temperature rise alarm for the parking area based on the temperature rise risk and the temperature data.

[0009] As an optional implementation, in the first aspect of the present invention, the temperature data is acquired by a temperature detection device installed in the vehicle parking area; the temperature detection device transmits the temperature data based on the MQTT protocol; wherein the temperature data and the corresponding risk of temperature rise are sent to the shore server via TCP / IP communication.

[0010] As an optional implementation, in the first aspect of the present invention, determining the temperature rise risk corresponding to each of the vehicle parking areas based on the temperature data includes:

[0011] For each vehicle parking area, calculate the weighted average of multiple temperature data corresponding to that vehicle parking area to obtain the average temperature corresponding to that vehicle parking area;

[0012] Based on the temperature measurement locations corresponding to multiple temperature data points in the vehicle parking area, calculate the temperature measurement coverage area corresponding to the vehicle parking area.

[0013] Calculate the ratio of the average temperature to the temperature measurement coverage area to obtain the temperature risk parameter corresponding to the vehicle parking area;

[0014] Multiple temperature data points corresponding to the vehicle parking area, the corresponding temperature measurement locations, and the temperature risk parameters are input into a trained risk identification model to obtain the heating risk corresponding to the vehicle parking area. The risk identification model is trained using a training dataset that includes multiple training area temperature measurement data, corresponding temperature risk parameter annotations, and heating risk annotations.

[0015] As an optional implementation, in the first aspect of the present invention, calculating the temperature measurement coverage area corresponding to the vehicle parking area based on the temperature measurement locations corresponding to multiple temperature data points of the vehicle parking area includes:

[0016] Determine the 3D model of the area corresponding to the vehicle placement area from the preset area model database;

[0017] Determine the model location points on the three-dimensional model of the area corresponding to multiple temperature data points for the vehicle placement area;

[0018] Calculate the surface area corresponding to the minimum bounding box formed by all the model location points to obtain the temperature measurement coverage area corresponding to the vehicle placement area.

[0019] As an optional implementation, in the first aspect of the present invention, when calculating the weighted average of multiple temperature data corresponding to the parking area, the calculation weight corresponding to each temperature data is the product of a first weight and a second weight; the first weight is inversely proportional to the distance between the temperature measurement location corresponding to the temperature data and the center point of the parking area; the second weight is inversely proportional to the difference between the data value of the corresponding temperature data and the reasonable reference data value corresponding to the parking area; the reasonable reference data value is obtained by fitting multiple historical temperature data corresponding to the parking area.

[0020] As an optional implementation, in the first aspect of the present invention, determining the transmission strategy corresponding to each temperature data based on the temperature rise risk and the area parameters corresponding to the vehicle parking area includes:

[0021] Based on the risk of temperature rise, all the vehicle parking areas are sorted from highest to lowest to obtain the first area sequence;

[0022] Based on the area parameters corresponding to each vehicle placement area and its position order in the first area sequence, the transmission priority of all temperature data corresponding to each vehicle placement area is determined; the area parameters include the location of the area in the ship, the area area, vehicle information in the area, and vehicle distribution in the area.

[0023] The transmission strategy corresponding to each temperature data is determined based on the transmission priority.

[0024] As an optional implementation, in the first aspect of the present invention, determining the transmission priority of all temperature data corresponding to each vehicle parking area based on the area parameters corresponding to each vehicle parking area and their position order in the first area sequence includes:

[0025] For each vehicle parking area, the area parameters corresponding to the vehicle parking area are input into the trained fire risk prediction model to obtain the fire risk parameters corresponding to the vehicle parking area; the fire risk prediction model is trained using a training dataset that includes multiple training area parameters and corresponding fire risk labels.

[0026] Based on the fire risk parameters, all the vehicle parking areas are sorted from highest to lowest to obtain a second area sequence;

[0027] Calculate the product of the first position order of each vehicle placement area in the first area sequence and the second position order in the second area sequence to obtain the transmission priority of all temperature data corresponding to each vehicle placement area.

[0028] As an optional implementation, in a first aspect of the present invention, the transmission strategy is used to define the transmission order, transmission encryption strength, and transmission communication speed corresponding to each temperature data; the priority of the transmission order, the transmission encryption strength, and the transmission communication speed are all proportional to the transmission priority.

[0029] A second aspect of this invention discloses a data transmission system for monitoring the temperature of automobiles and ships, the system comprising:

[0030] The acquisition module is used to acquire temperature data from multiple vehicle parking areas on the car ship;

[0031] The first determining module is used to determine the risk of temperature rise corresponding to each of the vehicle placement areas based on the temperature data;

[0032] The second determining module is used to determine the transmission strategy corresponding to each temperature data based on the heating risk and the area parameters corresponding to the vehicle placement area.

[0033] The transmission module is used to send the temperature data and the corresponding temperature rise risk to the shore server according to the transmission strategy; the shore server determines whether to issue a temperature rise alarm for the parking area based on the temperature rise risk and the temperature data.

[0034] As an optional implementation, in a second aspect of the invention, the temperature data is acquired by a temperature detection device installed in the vehicle parking area; the temperature detection device transmits the temperature data based on the MQTT protocol; wherein the temperature data and the corresponding risk of temperature rise are sent to the shore server via TCP / IP communication.

[0035] As an optional implementation, in a second aspect of the invention, the first determining module determines the specific method by which it determines the temperature rise risk corresponding to each of the vehicle parking areas based on the temperature data, including:

[0036] For each vehicle parking area, calculate the weighted average of multiple temperature data corresponding to that vehicle parking area to obtain the average temperature corresponding to that vehicle parking area;

[0037] Based on the temperature measurement locations corresponding to multiple temperature data points in the vehicle parking area, calculate the temperature measurement coverage area corresponding to the vehicle parking area.

[0038] Calculate the ratio of the average temperature to the temperature measurement coverage area to obtain the temperature risk parameter corresponding to the vehicle parking area;

[0039] Multiple temperature data points corresponding to the vehicle parking area, the corresponding temperature measurement locations, and the temperature risk parameters are input into a trained risk identification model to obtain the heating risk corresponding to the vehicle parking area. The risk identification model is trained using a training dataset that includes multiple training area temperature measurement data, corresponding temperature risk parameter annotations, and heating risk annotations.

[0040] As an optional implementation, in a second aspect of the present invention, the specific method by which the first determining module calculates the temperature measurement coverage area corresponding to the vehicle parking area based on the temperature measurement locations corresponding to multiple temperature data points of the parking area includes:

[0041] Determine the 3D model of the area corresponding to the vehicle placement area from the preset area model database;

[0042] Determine the model location points on the three-dimensional model of the area corresponding to multiple temperature data points for the vehicle placement area;

[0043] Calculate the surface area corresponding to the minimum bounding box formed by all the model location points to obtain the temperature measurement coverage area corresponding to the vehicle placement area.

[0044] As an optional implementation, in the second aspect of the invention, when calculating the weighted average of multiple temperature data corresponding to the parking area, the calculation weight corresponding to each temperature data is the product of a first weight and a second weight; the first weight is inversely proportional to the distance between the temperature measurement location corresponding to the temperature data and the center point of the parking area; the second weight is inversely proportional to the difference between the data value of the corresponding temperature data and the reasonable reference data value corresponding to the parking area; the reasonable reference data value is obtained by fitting multiple historical temperature data corresponding to the parking area.

[0045] As an optional implementation, in a second aspect of the invention, the second determining module determines, based on the temperature rise risk and the area parameters corresponding to the vehicle parking area, the specific method of the transmission strategy corresponding to each temperature data, including:

[0046] Based on the risk of temperature rise, all the vehicle parking areas are sorted from highest to lowest to obtain the first area sequence;

[0047] Based on the area parameters corresponding to each vehicle placement area and its position order in the first area sequence, the transmission priority of all temperature data corresponding to each vehicle placement area is determined; the area parameters include the location of the area in the ship, the area area, vehicle information in the area, and vehicle distribution in the area.

[0048] The transmission strategy corresponding to each temperature data is determined based on the transmission priority.

[0049] As an optional implementation, in a second aspect of the invention, the second determining module determines the specific method by which it determines the transmission priority of all temperature data corresponding to each vehicle parking area based on the area parameters corresponding to each parking area and their position order in the first area sequence, including:

[0050] For each vehicle parking area, the area parameters corresponding to the vehicle parking area are input into the trained fire risk prediction model to obtain the fire risk parameters corresponding to the vehicle parking area; the fire risk prediction model is trained using a training dataset that includes multiple training area parameters and corresponding fire risk labels.

[0051] Based on the fire risk parameters, all the vehicle parking areas are sorted from highest to lowest to obtain a second area sequence;

[0052] Calculate the product of the first position order of each vehicle placement area in the first area sequence and the second position order in the second area sequence to obtain the transmission priority of all temperature data corresponding to each vehicle placement area.

[0053] As an optional implementation, in a second aspect of the invention, the transmission strategy is used to define the transmission order, transmission encryption strength, and transmission communication speed corresponding to each temperature data; the priority of the transmission order, the transmission encryption strength, and the transmission communication speed are all proportional to the transmission priority.

[0054] A third aspect of the present invention discloses another data transmission system for monitoring temperature in automobiles and ships, the system comprising:

[0055] Memory containing executable program code;

[0056] A processor coupled to the memory;

[0057] The processor calls the executable program code stored in the memory to execute some or all of the steps in the data transmission method for monitoring temperature in automobiles and ships disclosed in the first aspect of the present invention.

[0058] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the data transmission method for monitoring temperature in automobiles and ships disclosed in the first aspect of the present invention.

[0059] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0060] This invention acquires temperature data from multiple parking areas on a car ship and determines the risk of temperature rise in each area. It then formulates a transmission strategy for each temperature data point based on the area parameters and sends the temperature data and temperature rise risk to a shore-based server according to the strategy to support temperature rise alarm decisions. This enables accurate data transmission and risk warning based on temperature and area characteristics, improves the safety management efficiency of car ship parking areas, and reduces the risk of temperature rise accidents. Attached Figure Description

[0061] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 This is a schematic flowchart of a data transmission method for monitoring the temperature of automobiles and ships, as disclosed in an embodiment of the present invention.

[0063] Figure 2 This is a schematic diagram of a data transmission system for monitoring the temperature of automobiles and ships, as disclosed in an embodiment of the present invention.

[0064] Figure 3 This is a schematic diagram of another data transmission system for monitoring the temperature of automobiles and ships, as disclosed in an embodiment of the present invention.

[0065] Figure 4 This is a schematic diagram of the functional composition of a shipboard software system for automobile ships disclosed in an embodiment of the present invention. Detailed Implementation

[0066] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0067] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0068] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0069] This invention discloses a data transmission method and system for temperature monitoring on car-boats. By acquiring temperature data from multiple vehicle storage areas on the car-boat and determining the temperature rise risk in each area, a transmission strategy for each temperature data point is formulated based on area parameters. The temperature data and temperature rise risk are then sent to a shore-based server according to the strategy to support temperature rise alarm decisions. This enables accurate data transmission and risk warning based on temperature and area characteristics, improving the efficiency of safety management in car-boat storage areas and reducing the risk of temperature rise accidents. Detailed explanations follow.

[0070] Example 1

[0071] Please see Figure 1 , Figure 1 This is a schematic flowchart illustrating a data transmission method for monitoring temperature on a car-boat, as disclosed in an embodiment of the present invention. Figure 1 The described data transmission method for monitoring temperature in automobiles and ships can be applied to data processing systems / data processing equipment / data processing servers (including local processing servers or cloud processing servers). For example... Figure 1 As shown, the data transmission method for monitoring temperature in automobiles and ships may include the following operations:

[0072] 101. Obtain temperature data for multiple vehicle storage areas of the car ship.

[0073] 102. Based on temperature data, determine the risk of overheating for each vehicle storage area.

[0074] 103. Based on the risk of temperature rise and the area parameters corresponding to the vehicle storage area, determine the transmission strategy for each temperature data.

[0075] 104. According to the transmission strategy, send the temperature data and the corresponding risk of temperature rise to the shore server.

[0076] Optionally, the shore-based server can determine whether to issue a temperature alarm for the parking area based on the risk of temperature rise and temperature data.

[0077] As can be seen, the above-described embodiments of the invention acquire temperature data from multiple vehicle storage areas on a car ship and determine the risk of temperature rise in each area. They then formulate a transmission strategy for each temperature data point based on the area parameters and send the temperature data and temperature rise risk to a shore-based server according to the strategy to support temperature rise alarm decisions. This enables accurate data transmission and risk warning based on temperature and area characteristics, improves the efficiency of safety management in vehicle storage areas on car ships, and reduces the risk of temperature rise accidents.

[0078] As an optional embodiment, in the above steps, the temperature data is acquired by a temperature detection device installed in the vehicle parking area; the temperature detection device transmits the temperature data based on the MQTT protocol; and the temperature data and the corresponding risk of temperature rise are sent to the shore server via TCP / IP communication.

[0079] Optionally, the temperature detection device can be a quantum well infrared thermometer, a thermocouple sensor, a thermistor sensor, or a composite temperature measurement device; the present invention does not limit this.

[0080] Optionally, the temperature data can be a real-time temperature value, a temperature change rate, a temperature time series data, or an environmentally corrected temperature value; this invention does not impose any limitations.

[0081] Optionally, this TCP / IP communication method can support IPv4, IPv6, or encrypted transmission protocols; this invention does not impose any limitations.

[0082] Optionally, the shore server can be a cloud server, an edge server, or a local data center server; this invention does not impose any limitations.

[0083] As can be seen, the above optional embodiments limit the details of temperature data acquisition and communication transmission, enabling temperature detection equipment to efficiently transmit temperature data based on the MQTT protocol, and enabling ships to communicate stably with shore servers based on TCP / IP communication, thereby assisting in the realization of accurate data transmission and risk warning based on temperature and regional characteristics, improving the safety management efficiency of car-cart parking areas, and reducing the risk of temperature rise accidents.

[0084] As an optional embodiment, the step above, determining the temperature rise risk corresponding to each vehicle storage area based on temperature data, includes:

[0085] For each vehicle parking area, calculate the weighted average of multiple temperature data corresponding to that parking area to obtain the average temperature corresponding to that parking area;

[0086] Based on the temperature measurement locations corresponding to multiple temperature data points in the vehicle parking area, calculate the temperature measurement coverage area corresponding to the vehicle parking area.

[0087] Calculate the ratio of average temperature to temperature measurement coverage area to obtain the temperature risk parameter corresponding to the vehicle parking area;

[0088] Multiple temperature data points, corresponding temperature measurement locations, and temperature risk parameters for the vehicle parking area are input into a trained risk identification model to obtain the heating risk corresponding to the vehicle parking area. The risk identification model is trained using a training dataset that includes temperature measurement data from multiple training areas, corresponding temperature risk parameter annotations, and heating risk annotations.

[0089] Optionally, the calculation of the weighted average can be based on linear weighting, exponential weighting, or dynamic weighting algorithms, and this invention does not limit it.

[0090] Optionally, the temperature measurement coverage area can be calculated based on geometric algorithms, grid division, or spatial projection methods; this invention does not impose any limitations on this.

[0091] Optionally, the calculation process for the temperature measurement coverage area can be optimized by combining the distribution density of the temperature measurement equipment or the geometric characteristics of the area, and this invention does not limit it.

[0092] Optionally, the risk identification model can be a convolutional neural network, a recurrent neural network, or a random forest model; this invention does not limit the specific model.

[0093] Optionally, the risk of temperature rise can be an overheating risk level, a fire risk probability, or a temperature anomaly score; this invention does not limit such risk.

[0094] Optionally, the training dataset may include historical temperature measurement data, simulated data, or real-time feedback data; this invention does not impose any limitations.

[0095] As can be seen, through the above optional embodiments, the average temperature is obtained by calculating the weighted average of multiple temperature data in each vehicle storage area, the temperature measurement coverage area is calculated by combining the temperature measurement location, the ratio of the average temperature to the coverage area is calculated to obtain the temperature risk parameter, and the temperature data, measurement location and risk parameter are input into the trained risk identification model to determine the risk of temperature rise, thereby realizing accurate temperature rise risk assessment based on temperature distribution and coverage characteristics, improving the accuracy and efficiency of safety monitoring of vehicle and ship storage areas, and reducing the risk of temperature rise accidents.

[0096] As an optional embodiment, the step described above, calculating the temperature measurement coverage area corresponding to the vehicle parking area based on the temperature measurement locations corresponding to multiple temperature data points, includes:

[0097] Determine the 3D model of the area corresponding to the vehicle placement area from the preset area model database;

[0098] Determine the model location points on the 3D model of the area corresponding to multiple temperature data points for the vehicle placement area;

[0099] Calculate the surface area corresponding to the minimum bounding box formed by all model location points to obtain the temperature measurement coverage area corresponding to the vehicle placement area.

[0100] Optionally, the regional model database can be a local storage database, a cloud database, or a distributed database; this invention does not impose any limitations.

[0101] Optionally, the three-dimensional model of the region can be a three-dimensional structural model generated based on CAD modeling, point cloud data, or finite element analysis; this invention does not impose any limitations on this.

[0102] Optionally, the process of determining the three-dimensional model of the region can be based on region identification, spatial feature matching, or manual selection, and this invention does not limit it.

[0103] Optionally, the model location point can be a three-dimensional coordinate, a mesh node, or a spatial projection point; this invention does not impose any limitations on this.

[0104] Optionally, the process of determining the location points of the model can be based on coordinate transformation, positioning algorithms, or spatial mapping methods, and this invention does not limit the scope of the determination.

[0105] Optionally, the minimum bounding box can be a cube, cuboid, or irregular polyhedron; the present invention does not limit this.

[0106] Optionally, the calculation of the surface area can be based on geometric algorithms, convex hull algorithms, or mesh generation methods, and this invention does not limit the scope.

[0107] Optionally, the temperature measurement coverage area can be adjusted in conjunction with the coverage range or area boundary of the temperature measurement device; this invention does not impose any limitations on this.

[0108] As can be seen, through the above optional embodiments, by obtaining the three-dimensional model of the area corresponding to the vehicle placement area from the preset area model database, determining the model position points of the temperature measurement positions corresponding to multiple temperature data on the three-dimensional model, and calculating the minimum bounding box surface area formed by these position points as the temperature measurement coverage area, a precise temperature measurement coverage area assessment based on the three-dimensional model and position points can be achieved, thereby improving the accuracy of temperature risk analysis and safety monitoring efficiency of the vehicle placement area of ​​the car ship, and reducing the risk of overheating accidents.

[0109] As an optional embodiment, in the above steps, when calculating the weighted average of multiple temperature data corresponding to the parking area, the calculation weight corresponding to each temperature data is the product of a first weight and a second weight; the first weight is inversely proportional to the distance between the temperature measurement location corresponding to the temperature data and the center point of the parking area; the second weight is inversely proportional to the difference between the data value of the corresponding temperature data and the reasonable reference data value corresponding to the parking area; the reasonable reference data value is obtained by fitting multiple historical temperature data corresponding to the parking area.

[0110] Optionally, the fitting of the reasonable reference data value can employ linear regression, curve fitting, or a machine learning regression model; this invention is not limited to any particular method. Specifically, the reasonable reference data value can also be determined by calculating the weighted average of multiple historical temperature data corresponding to the parking area, or by determining the reasonable temperature reference data value based on other regional parameters of the parking area based on the mathematical relationship obtained from the fitting.

[0111] As can be seen, through the above optional embodiments, the weight of each temperature data point when calculating the weighted average of multiple temperature data points in the vehicle parking area is defined as the product of a first weight that is inversely proportional to the distance from the temperature measurement location to the center point of the area and a second weight that is inversely proportional to the difference between the temperature data value and the reasonable reference data value obtained by fitting historical temperature data. This enables accurate calculation of the weighted average temperature based on location and data deviation, improves the accuracy of temperature distribution analysis in the vehicle parking area of ​​the car ship and the efficiency of temperature rise risk assessment, and reduces the risk of misjudging temperature anomalies.

[0112] As an optional embodiment, the step above, determining the transmission strategy for each temperature data point based on the risk of temperature rise and the area parameters corresponding to the vehicle parking area, includes:

[0113] All vehicle parking areas are sorted from highest to lowest based on the risk of temperature rise, resulting in the first area sequence;

[0114] Based on the area parameters corresponding to each vehicle placement area and its position order in the first area sequence, the transmission priority of all temperature data corresponding to each vehicle placement area is determined; optionally, the area parameters include the location of the area in the ship, the area area, vehicle information within the area, and vehicle distribution within the area.

[0115] The transmission strategy for each temperature data point is determined based on the transmission priority.

[0116] Optionally, the transmission strategy can be optimized based on real-time network status, data importance, or transmission cost, and this invention does not limit it.

[0117] Optionally, the transmission strategy can be adjusted based on the ship's operating environment or the needs of the shore-based server, and this invention does not impose any limitations on it.

[0118] As can be seen, through the above optional embodiments, by sorting the vehicle parking areas from high to low according to the risk of temperature rise to generate a first area sequence, and combining the area parameters and sequence position order of each area to determine the transmission priority of temperature data in each area, and formulating a transmission strategy based on the priority, the precise temperature data transmission optimization based on risk and area characteristics can be achieved, thereby improving the efficiency of temperature monitoring of car ships and the accuracy of alarms from shore servers, and reducing the risk of temperature rise accidents.

[0119] As an optional embodiment, the step above, determining the transmission priority of all temperature data corresponding to each vehicle placement area based on the area parameters corresponding to each vehicle placement area and their position order in the first area sequence, includes:

[0120] For each vehicle parking area, the area parameters corresponding to the vehicle parking area are input into the trained fire risk prediction model to obtain the fire risk parameters corresponding to the vehicle parking area; optionally, the fire risk prediction model is trained using a training dataset that includes multiple training area parameters and corresponding fire risk labels.

[0121] All vehicle parking areas are sorted from highest to lowest based on fire risk parameters to obtain the second area sequence;

[0122] Calculate the product of the first position order of each vehicle placement area in the first area sequence and the second position order in the second area sequence to obtain the transmission priority of all temperature data corresponding to each vehicle placement area.

[0123] Optionally, the fire risk prediction model can be a convolutional neural network, a decision tree model, or a support vector machine model; this invention does not impose any limitations.

[0124] Optionally, the position order can be a ranking value, a sequence number, or a relative position weight; this invention does not impose any limitations on this.

[0125] Optionally, the product calculation can be based on standardization, weighted adjustment, or nonlinear mapping, and this invention does not limit it.

[0126] As can be seen, through the above optional embodiments, by inputting the regional parameters of each vehicle parking area into the trained fire risk prediction model to obtain fire risk parameters and sorting them from high to low to generate a second regional sequence, the product of the position order of each region in the first regional sequence and the second regional sequence is calculated as the transmission priority of temperature data, thereby realizing accurate transmission priority determination based on dual sorting of temperature rise and fire risk, improving the efficiency of temperature data transmission of car ships and the accuracy of shore alarms, and reducing the risk of temperature rise and fire accidents.

[0127] As an optional embodiment, in the above steps, the transmission strategy is used to limit the transmission order, transmission encryption strength, and transmission communication speed corresponding to each temperature data; the priority of the transmission order, the transmission encryption strength, and the transmission communication speed are all proportional to the transmission priority.

[0128] Optionally, the transmission order can be the order in which data packets are sent, the queue priority, or the time slot allocation; this invention does not impose any limitations on this.

[0129] Optionally, the transmission encryption strength can be achieved by adjusting the parameters of AES encryption, RSA encryption, or quantum encryption algorithms; this invention does not impose any limitations on this.

[0130] Optionally, the transmission speed can be achieved based on bandwidth allocation, protocol optimization, or network switching, and this invention does not limit it.

[0131] As can be seen, the above optional embodiments define a transmission strategy that limits the transmission order, encryption strength, and communication speed to be proportional to the priority, thereby achieving priority-based precise data transmission optimization, improving the safety, efficiency, and timeliness of shore-based alarms for temperature data transmission on car ships, and reducing the risk of overheating and fire accidents.

[0132] In one specific implementation scheme, based on the data transmission scheme disclosed in this invention, a shipboard software system for automobile boats is implemented, the functional architecture of which is as follows: Figure 4 As shown, specifically, it covers a series of stages, from information entry before vehicle loading onto the ship, to equipment binding, data collection and transmission after loading, and data processing and display at both the ship and shore ends. Its software interaction flow includes:

[0133] Information entry and transmission during vehicle loading:

[0134] During vehicle loading, the tallying company plays a crucial role in information collection. They use dedicated tablets equipped with a real-time mapping app and barcode scanners to bind the Vin code to each vehicle, while meticulously recording the location parameters for each vehicle. This process ensures the accurate correspondence between vehicle information and location information. After loading is completed, the Vin codes and location information of all vehicles are transmitted to the intelligent loading system on shore according to a predetermined procedure. This system acts as an information hub, synchronizing this data with the intelligent digital platform of the car carrier, providing basic data support for subsequent management and monitoring.

[0135] Equipment binding and information integration before and after vessel departure:

[0136] After vehicles are loaded onto the ship and before departure, the crew takes over the information processing. Using dedicated tablets equipped with a real-time mapping app, they download the actual loading information for this voyage from the car carrier's intelligent loading system. After the ship departs, the crew again uses a barcode scanner to bind the vehicle's Vin code to the unique identifier of the infrared thermometer. This process ensures that each monitoring device accurately corresponds to a specific vehicle, enabling precise traceability of subsequently collected temperature data. The vehicle's location information, Vin code, and the infrared thermometer's unique identifier are then transmitted to the ship's temperature monitoring system, further enriching the system's database.

[0137] Infrared thermometer data transmission and command interaction:

[0138] The infrared thermometer, as a direct temperature data acquisition device, is pre-configured with WiFi parameters and uploads temperature data to the ship's temperature monitoring system via the MQTT protocol. MQTT, a universal IoT protocol, boasts excellent compatibility and can easily adapt to a wide variety of sensors, providing strong support for the system's future scalability. Simultaneously, the infrared thermometer also receives configuration parameters and other commands from the ship's temperature monitoring system, enabling bidirectional communication between the device and the system and ensuring that the device can be flexibly adjusted and optimized according to actual needs.

[0139] Data communication and email notifications between ship and shore:

[0140] The communication between the ship's temperature monitoring system and the vehicle-to-ship intelligent platform uses a customized TCP / IP protocol. While ensuring data transmission security, the ship's temperature monitoring system uploads temperature and alarm data to the vehicle-to-ship intelligent platform. To ensure timely data transmission, especially that alarm data is immediately known to the shore, the system utilizes the ship's communication computer to analyze the temperature data and determine the transmission strategy using the data transmission scheme disclosed in this invention. Based on the transmission strategy, it sends the temperature data externally, and in emergencies, immediately sends alarm emails. Through these two different communication methods, a multi-dimensional data transmission guarantee mechanism is formed, ensuring that temperature data, especially alarm data, is transmitted back to the vehicle-to-ship intelligent platform in a timely and accurate manner, providing strong support for relevant personnel to take timely measures.

[0141] Example 2

[0142] Please see Figure 2 , Figure 2 This is a schematic diagram of a data transmission system for monitoring temperature on automobiles and ships, as disclosed in an embodiment of the present invention. Figure 2The described data transmission system for monitoring temperature in automobiles and ships can be applied to data processing systems / data processing equipment / data processing servers (wherein, the server includes a local processing server or a cloud processing server). For example... Figure 2 As shown, the data transmission system for monitoring temperature in automobiles and ships may include:

[0143] The acquisition module 201 is used to acquire temperature data of multiple parking areas of the car ship.

[0144] The first determining module 202 is used to determine the risk of temperature rise for each vehicle parking area based on temperature data.

[0145] The second determining module 203 is used to determine the transmission strategy corresponding to each temperature data based on the heating risk and the area parameters corresponding to the vehicle parking area.

[0146] The transmission module 204 is used to send temperature data and corresponding temperature rise risks to the shore server according to the transmission strategy.

[0147] Optionally, the shore-based server can determine whether to issue a temperature alarm for the parking area based on the risk of temperature rise and temperature data.

[0148] As can be seen, the above-described embodiments of the invention acquire temperature data from multiple vehicle storage areas on a car ship and determine the risk of temperature rise in each area. They then formulate a transmission strategy for each temperature data point based on the area parameters and send the temperature data and temperature rise risk to a shore-based server according to the strategy to support temperature rise alarm decisions. This enables accurate data transmission and risk warning based on temperature and area characteristics, improves the efficiency of safety management in vehicle storage areas on car ships, and reduces the risk of temperature rise accidents.

[0149] As an optional embodiment, temperature data is acquired through a temperature detection device installed in the vehicle parking area; the temperature detection device transmits temperature data based on the MQTT protocol; wherein, the temperature data and the corresponding risk of temperature rise are sent to the shore server via TCP / IP communication.

[0150] As can be seen, the above optional embodiments limit the details of temperature data acquisition and communication transmission, enabling temperature detection equipment to efficiently transmit temperature data based on the MQTT protocol, and enabling ships to communicate stably with shore servers based on TCP / IP communication, thereby assisting in the realization of accurate data transmission and risk warning based on temperature and regional characteristics, improving the safety management efficiency of car-cart parking areas, and reducing the risk of temperature rise accidents.

[0151] As an optional embodiment, the first determining module determines the specific method for assessing the temperature rise risk corresponding to each vehicle storage area based on temperature data, including:

[0152] For each vehicle parking area, calculate the weighted average of multiple temperature data corresponding to that parking area to obtain the average temperature corresponding to that parking area;

[0153] Based on the temperature measurement locations corresponding to multiple temperature data points in the vehicle parking area, calculate the temperature measurement coverage area corresponding to the vehicle parking area.

[0154] Calculate the ratio of average temperature to temperature measurement coverage area to obtain the temperature risk parameter corresponding to the vehicle parking area;

[0155] Multiple temperature data points, corresponding temperature measurement locations, and temperature risk parameters for the vehicle parking area are input into a trained risk identification model to obtain the heating risk corresponding to the vehicle parking area. The risk identification model is trained using a training dataset that includes temperature measurement data from multiple training areas, corresponding temperature risk parameter annotations, and heating risk annotations.

[0156] As can be seen, through the above optional embodiments, the average temperature is obtained by calculating the weighted average of multiple temperature data in each vehicle storage area, the temperature measurement coverage area is calculated by combining the temperature measurement location, the ratio of the average temperature to the coverage area is calculated to obtain the temperature risk parameter, and the temperature data, measurement location and risk parameter are input into the trained risk identification model to determine the risk of temperature rise, thereby realizing accurate temperature rise risk assessment based on temperature distribution and coverage characteristics, improving the accuracy and efficiency of safety monitoring of vehicle and ship storage areas, and reducing the risk of temperature rise accidents.

[0157] As an optional embodiment, the first determining module calculates the specific method for determining the temperature measurement coverage area corresponding to the vehicle parking area based on the temperature measurement locations corresponding to multiple temperature data points of the parking area, including:

[0158] Determine the 3D model of the area corresponding to the vehicle placement area from the preset area model database;

[0159] Determine the model location points on the 3D model of the area corresponding to multiple temperature data points for the vehicle placement area;

[0160] Calculate the surface area corresponding to the minimum bounding box formed by all model location points to obtain the temperature measurement coverage area corresponding to the vehicle placement area.

[0161] As can be seen, through the above optional embodiments, by obtaining the three-dimensional model of the area corresponding to the vehicle placement area from the preset area model database, determining the model position points of the temperature measurement positions corresponding to multiple temperature data on the three-dimensional model, and calculating the minimum bounding box surface area formed by these position points as the temperature measurement coverage area, a precise temperature measurement coverage area assessment based on the three-dimensional model and position points can be achieved, thereby improving the accuracy of temperature risk analysis and safety monitoring efficiency of the vehicle placement area of ​​the car ship, and reducing the risk of overheating accidents.

[0162] As an optional embodiment, when calculating the weighted average of multiple temperature data corresponding to the parking area, the calculation weight corresponding to each temperature data is the product of a first weight and a second weight; the first weight is inversely proportional to the distance between the temperature measurement location corresponding to the temperature data and the center point of the parking area; the second weight is inversely proportional to the difference between the data value of the corresponding temperature data and the reasonable reference data value corresponding to the parking area; the reasonable reference data value is obtained by fitting multiple historical temperature data corresponding to the parking area.

[0163] As can be seen, through the above optional embodiments, the weight of each temperature data point when calculating the weighted average of multiple temperature data points in the vehicle parking area is defined as the product of a first weight that is inversely proportional to the distance from the temperature measurement location to the center point of the area and a second weight that is inversely proportional to the difference between the temperature data value and the reasonable reference data value obtained by fitting historical temperature data. This enables accurate calculation of the weighted average temperature based on location and data deviation, improves the accuracy of temperature distribution analysis in the vehicle parking area of ​​the car ship and the efficiency of temperature rise risk assessment, and reduces the risk of misjudging temperature anomalies.

[0164] As an optional embodiment, the second determining module determines the specific method of the transmission strategy corresponding to each temperature data based on the temperature rise risk and the area parameters corresponding to the vehicle parking area, including:

[0165] All vehicle parking areas are sorted from highest to lowest based on the risk of temperature rise, resulting in the first area sequence;

[0166] Based on the area parameters corresponding to each vehicle placement area and its position order in the first area sequence, the transmission priority of all temperature data corresponding to each vehicle placement area is determined; optionally, the area parameters include the location of the area in the ship, the area area, vehicle information within the area, and vehicle distribution within the area.

[0167] The transmission strategy for each temperature data point is determined based on the transmission priority.

[0168] As can be seen, through the above optional embodiments, by sorting the vehicle parking areas from high to low according to the risk of temperature rise to generate a first area sequence, and combining the area parameters and sequence position order of each area to determine the transmission priority of temperature data in each area, and formulating a transmission strategy based on the priority, the precise temperature data transmission optimization based on risk and area characteristics can be achieved, thereby improving the efficiency of temperature monitoring of car ships and the accuracy of alarms from shore servers, and reducing the risk of temperature rise accidents.

[0169] As an optional embodiment, the second determining module determines the specific method for the transmission priority of all temperature data corresponding to each vehicle placement area based on the area parameters corresponding to each vehicle placement area and the position order in the first area sequence, including:

[0170] For each vehicle parking area, the area parameters corresponding to the vehicle parking area are input into the trained fire risk prediction model to obtain the fire risk parameters corresponding to the vehicle parking area; optionally, the fire risk prediction model is trained using a training dataset that includes multiple training area parameters and corresponding fire risk labels.

[0171] All vehicle parking areas are sorted from highest to lowest based on fire risk parameters to obtain the second area sequence;

[0172] Calculate the product of the first position order of each vehicle placement area in the first area sequence and the second position order in the second area sequence to obtain the transmission priority of all temperature data corresponding to each vehicle placement area.

[0173] As can be seen, through the above optional embodiments, by inputting the regional parameters of each vehicle parking area into the trained fire risk prediction model to obtain fire risk parameters and sorting them from high to low to generate a second regional sequence, the product of the position order of each region in the first regional sequence and the second regional sequence is calculated as the transmission priority of temperature data, thereby realizing accurate transmission priority determination based on dual sorting of temperature rise and fire risk, improving the efficiency of temperature data transmission of car ships and the accuracy of shore alarms, and reducing the risk of temperature rise and fire accidents.

[0174] As an optional embodiment, the transmission strategy is used to define the transmission order, transmission encryption strength, and transmission communication speed corresponding to each temperature data; the priority of the transmission order, the transmission encryption strength, and the transmission communication speed are all proportional to the transmission priority.

[0175] As can be seen, the above optional embodiments define a transmission strategy that limits the transmission order, encryption strength, and communication speed to be proportional to the priority, thereby achieving priority-based precise data transmission optimization, improving the safety, efficiency, and timeliness of shore-based alarms for temperature data transmission on car ships, and reducing the risk of overheating and fire accidents.

[0176] Example 3

[0177] Please see Figure 3 , Figure 3 This is another data transmission system for monitoring the temperature of automobiles and ships disclosed in the embodiments of the present invention. Figure 3 The described data transmission system for monitoring temperature in automobiles and ships is applied in a data processing system / data processing equipment / data processing server (wherein, the server includes a local processing server or a cloud processing server). For example... Figure 3 As shown, the data transmission system for monitoring temperature in automobiles and ships may include:

[0178] Memory 301 storing executable program code;

[0179] Processor 302 coupled to memory 301;

[0180] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the data transmission method for monitoring temperature in automobiles and ships described in Embodiment 1.

[0181] Example 4

[0182] This invention discloses a computer read storage medium that stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps of the data transmission method for monitoring temperature in automobiles and ships described in Embodiment 1.

[0183] Example 5

[0184] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the data transmission method for monitoring temperature of a car or ship as described in Embodiment 1.

[0185] The foregoing has described specific embodiments of this specification; other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than those shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily have to follow the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0186] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0187] For ease of description, the above devices are described in terms of function, divided into various units. Of course, in implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware components.

[0188] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0189] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0190] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0191] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0192] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0193] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0194] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0195] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0196] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0197] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0198] Finally, it should be noted that the data transmission method and system for monitoring temperature on automobiles and ships disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data transmission method for monitoring temperature in automobiles and ships, characterized in that, The method includes: Acquire temperature data from multiple vehicle storage areas on the car-boat; Based on the temperature data, determine the risk of temperature rise corresponding to each of the vehicle placement areas; Based on the temperature rise risk and the area parameters corresponding to the vehicle parking area, determine the transmission strategy corresponding to each temperature data; According to the transmission strategy, the temperature data and the corresponding temperature rise risk are sent to the shore server; the shore server determines whether to issue a temperature rise alarm for the parking area based on the temperature rise risk and the temperature data.

2. The data transmission method for monitoring temperature in automobiles and ships according to claim 1, characterized in that, The temperature data is acquired by a temperature detection device installed in the vehicle parking area; the temperature detection device transmits the temperature data based on the MQTT protocol; wherein the temperature data and the corresponding risk of temperature rise are sent to the shore server via TCP / IP communication.

3. The data transmission method for monitoring temperature in automobiles and ships according to claim 1, characterized in that, The step of determining the temperature rise risk corresponding to each of the vehicle placement areas based on the temperature data includes: For each vehicle parking area, calculate the weighted average of multiple temperature data corresponding to that vehicle parking area to obtain the average temperature corresponding to that vehicle parking area; Calculate the temperature measurement coverage area corresponding to the vehicle parking area based on the temperature measurement locations corresponding to multiple temperature data points in the vehicle parking area. Calculate the ratio of the average temperature to the temperature measurement coverage area to obtain the temperature risk parameter corresponding to the vehicle parking area; Multiple temperature data points corresponding to the vehicle parking area, the corresponding temperature measurement locations, and the temperature risk parameters are input into a trained risk identification model to obtain the heating risk corresponding to the vehicle parking area. The risk identification model is trained using a training dataset that includes multiple training area temperature measurement data, corresponding temperature risk parameter annotations, and heating risk annotations.

4. The data transmission method for monitoring temperature in automobiles and ships according to claim 3, characterized in that, The step of calculating the temperature measurement coverage area corresponding to the vehicle parking area based on the temperature measurement locations corresponding to multiple temperature data points includes: Determine the 3D model of the area corresponding to the vehicle placement area from the preset area model database; Determine the model location points on the three-dimensional model of the area corresponding to multiple temperature data points for the vehicle placement area; Calculate the surface area corresponding to the minimum bounding box formed by all the model location points to obtain the temperature measurement coverage area corresponding to the vehicle placement area.

5. The data transmission method for monitoring temperature in automobiles and ships according to claim 4, characterized in that, When calculating the weighted average of multiple temperature data points corresponding to the parking area, the calculation weight for each temperature data point is the product of a first weight and a second weight. The first weight is inversely proportional to the distance between the temperature measurement location corresponding to the temperature data point and the center point of the parking area. The second weight is inversely proportional to the difference between the data value of the corresponding temperature data point and the reasonable reference data value corresponding to the parking area. The reasonable reference data value is obtained by fitting multiple historical temperature data points corresponding to the parking area.

6. The data transmission method for monitoring temperature in automobiles and ships according to claim 1, characterized in that, The step of determining the transmission strategy corresponding to each temperature data point based on the temperature rise risk and the area parameters corresponding to the vehicle parking area includes: Based on the risk of temperature rise, all the vehicle parking areas are sorted from highest to lowest to obtain the first area sequence; Based on the area parameters corresponding to each vehicle placement area and its position order in the first area sequence, the transmission priority of all temperature data corresponding to each vehicle placement area is determined; the area parameters include the location of the area in the ship, the area area, vehicle information in the area, and vehicle distribution in the area. The transmission strategy corresponding to each temperature data is determined based on the transmission priority.

7. The data transmission method for monitoring temperature in automobiles and ships according to claim 6, characterized in that, The step of determining the transmission priority of all temperature data corresponding to each vehicle parking area based on the area parameters corresponding to each vehicle parking area and their position order in the first area sequence includes: For each vehicle parking area, the area parameters corresponding to the vehicle parking area are input into the trained fire risk prediction model to obtain the fire risk parameters corresponding to the vehicle parking area; the fire risk prediction model is trained using a training dataset that includes multiple training area parameters and corresponding fire risk labels. Based on the fire risk parameters, all the vehicle parking areas are sorted from highest to lowest to obtain a second area sequence; Calculate the product of the first position order of each vehicle placement area in the first area sequence and the second position order in the second area sequence to obtain the transmission priority of all temperature data corresponding to each vehicle placement area.

8. The data transmission method for monitoring temperature in automobiles and ships according to claim 6, characterized in that, The transmission strategy is used to define the transmission order, encryption strength, and communication speed for each temperature data; the priority of the transmission order, the encryption strength, and the communication speed are all proportional to the transmission priority.

9. A data transmission system for monitoring temperature in automobiles and ships, characterized in that, The system includes: The acquisition module is used to acquire temperature data from multiple vehicle parking areas on the car ship; The first determining module is used to determine the risk of temperature rise corresponding to each of the vehicle placement areas based on the temperature data; The second determining module is used to determine the transmission strategy corresponding to each temperature data based on the heating risk and the area parameters corresponding to the vehicle placement area. The transmission module is used to send the temperature data and the corresponding temperature rise risk to the shore server according to the transmission strategy; the shore server determines whether to issue a temperature rise alarm for the parking area based on the temperature rise risk and the temperature data.

10. A data transmission system for monitoring temperature in automobiles and ships, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data transmission method for monitoring temperature in automobiles and ships as described in any one of claims 1-8.

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