Temperature measurement control method and system for temperature monitoring of automobiles and ships

Abstract

The invention discloses a temperature measurement control method and system for automobile ship temperature monitoring. The method comprises the following steps: acquiring temperature data of a plurality of temperature measurement devices in a target automobile placing area of an automobile ship; constructing a temperature distribution model based on the temperature data and the three-dimensional model of the target parking area; according to the vehicle information of the target vehicle placing area and the temperature distribution model, analyzing a corresponding temperature rise risk; determining a temperature measurement control instruction of at least one temperature measurement device according to the temperature rise risk and the vehicle information; the temperature measurement control instruction is used for controlling the working precision, the working frequency and the working energy consumption threshold value of the temperature measurement equipment. Therefore, accurate temperature measurement control based on temperature distribution and risk analysis can be realized, the accuracy and energy efficiency of automobile and ship temperature detection are improved, and the temperature rise out-of-control risk of the vehicle and the automobile and ship is reduced.

Description

Technical Field

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

[0002] With the increasing demand for safety management in car-ship transportation, shipping companies are placing greater emphasis on reducing the risk of overheating in vehicles and vessels through precise temperature monitoring. Existing technologies typically collect temperature data from temperature monitoring devices in vehicle parking areas, use simple threshold comparisons to assess the area's temperature status, and determine the operating parameters of the monitoring devices based on fixed-frequency monitoring methods to ensure transportation safety. However, existing solutions lack modeling and analysis of the three-dimensional temperature distribution of the area and dynamic risk assessment of vehicle information. This makes it difficult to accurately predict overheating risks and optimize monitoring frequency and energy consumption, and they cannot adapt to complex transportation environments. Consequently, temperature detection accuracy is insufficient, and potential runaway overheating risks are easily overlooked, limiting the energy efficiency and safety of car-ship temperature 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 temperature measurement and control method and system for monitoring the temperature of vehicles and ships, which can realize accurate temperature measurement and control based on temperature distribution and risk analysis, improve the accuracy and energy efficiency of temperature detection of vehicles and ships, and reduce the risk of uncontrolled temperature rise in vehicles and ships.

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

[0005] Acquire temperature data from multiple temperature measuring devices in the target vehicle storage area of ​​the car ship;

[0006] Based on the temperature data and the three-dimensional model of the target vehicle parking area, a temperature distribution model is constructed;

[0007] Based on the vehicle information of the target parking area and the temperature distribution model, the corresponding risk of temperature rise is analyzed;

[0008] Based on the temperature rise risk and the vehicle information, at least one temperature measurement control command for the temperature measuring device is determined; the temperature measurement control command is used to control the working accuracy, working frequency and working energy consumption threshold of the temperature measuring device.

[0009] As an optional implementation, in the first aspect of the present invention, the temperature measuring device includes a quantum well infrared thermometer and a wireless transmission module; the wireless transmission module is a WIFI module, a Bluetooth module, or a radio wave module.

[0010] As an optional implementation, in the first aspect of the present invention, constructing a temperature distribution model based on the temperature data and a three-dimensional model of the target vehicle parking area includes:

[0011] Obtain a 3D model of the target vehicle parking area;

[0012] For each of the temperature measuring devices, determine the device position on the three-dimensional model;

[0013] Calculate the influence diameter and influence depth that are proportional to the temperature data from the temperature measuring device;

[0014] With the device location as the center, an influence sphere model is constructed with the influence diameter as the diameter. Data values ​​are assigned to each coordinate point within the influence sphere model according to the influence depth to obtain the temperature measurement influence sphere model.

[0015] The three-dimensional model and each of the temperature-sensing influence spheres therein are defined as temperature distribution models.

[0016] As an optional implementation, in the first aspect of the invention, assigning coordinate data values ​​to each coordinate point within the influence sphere model according to the influence depth includes:

[0017] For each coordinate point in the influence sphere model, calculate the distance between that coordinate point and the location of the device;

[0018] Calculate the influence weight that is inversely proportional to the distance;

[0019] Calculate the product of the influence weight and the influence depth to obtain the coordinate data value corresponding to the coordinate point.

[0020] As an optional implementation, in the first aspect of the present invention, the vehicle information includes multiple vehicle models, vehicle driving information, vehicle location, and vehicle boarding records.

[0021] As an optional implementation, in the first aspect of the present invention, the step of analyzing the corresponding temperature rise risk based on the vehicle information of the target parking area and the temperature distribution model includes:

[0022] The vehicle information of each vehicle placed in the target vehicle placement area is input into the trained vehicle fire risk prediction neural network to obtain the fire risk parameters of each vehicle placed in the target vehicle placement area. The vehicle fire risk prediction neural network is trained using a training dataset that includes information on multiple training vehicles and corresponding fire risk labels.

[0023] The vehicles placed that have a fire risk parameter greater than a preset first parameter threshold are selected to obtain at least one risk vehicle.

[0024] Based on the vehicle information, determine the location of the risky vehicle in the temperature distribution model;

[0025] Based on the location of the at-risk vehicle and the temperature distribution model, the risk of temperature rise in the target vehicle parking area is determined.

[0026] As an optional implementation, in a first aspect of the invention, determining the temperature rise risk of the target vehicle parking area based on the location of the at-risk vehicle and the temperature distribution model includes:

[0027] Calculate the average distance between the center position of each temperature influence sphere model and the positions of all the risk vehicles to obtain the risk distance of each temperature influence sphere model;

[0028] Calculate the average of the coordinate data values ​​corresponding to the coordinate points of the intersection of each temperature influence sphere model with all other temperature influence sphere models to obtain the risk value parameter of each temperature influence sphere model;

[0029] Calculate the product of the risk distance and the risk value parameter to obtain the risk characterization parameters for each of the temperature-sensing influence sphere models;

[0030] Temperature-influence sphere models whose risk characterization parameters are greater than the second parameter threshold are selected to obtain temperature rise risk sphere models; the temperature rise risk sphere models are used to characterize that their model regions have a temperature rise risk in the region corresponding to the target vehicle placement area;

[0031] The temperature measuring device corresponding to the temperature rise risk sphere model is identified as the device of interest; the temperature measurement control command corresponding to the device of interest is used to control and improve the working accuracy, working frequency and working energy consumption threshold of the device of interest.

[0032] As an optional implementation, in a first aspect of the invention, determining a temperature control command for at least one of the temperature measuring devices based on the temperature rise risk and the vehicle information includes:

[0033] For each device of interest, an adjustment parameter proportional to the risk characterization parameter corresponding to that device of interest is calculated; the adjustment parameter is an accuracy adjustment value, a frequency adjustment value, or an energy consumption threshold adjustment value.

[0034] Obtain the current operating parameters corresponding to the device of interest; the current operating parameters are the current operating accuracy, the current operating frequency, or the current operating energy consumption threshold.

[0035] Calculate the sum of the current operating parameters and the adjustment parameters to obtain the new operating parameters corresponding to the device of interest;

[0036] A temperature control command including the new operating parameters is generated, and the temperature control command is sent to the device under control.

[0037] A second aspect of this invention discloses a temperature monitoring and control system for monitoring the temperature of automobiles and ships, the system comprising:

[0038] The acquisition module is used to acquire temperature data from multiple temperature measuring devices in the target vehicle parking area of ​​the car ship;

[0039] A construction module is used to construct a temperature distribution model based on the temperature data and a three-dimensional model of the target vehicle parking area;

[0040] The analysis module is used to analyze the corresponding risk of temperature rise based on the vehicle information of the target parking area and the temperature distribution model.

[0041] The control module is used to determine a temperature control command for at least one of the temperature measuring devices based on the temperature rise risk and the vehicle information; the temperature control command is used to control the working accuracy, working frequency and working energy consumption threshold of the temperature measuring device.

[0042] As an optional implementation, in a second aspect of the present invention, the temperature measuring device includes a quantum well infrared thermometer and a wireless transmission module; the wireless transmission module is a WIFI module, a Bluetooth module, or a radio wave module.

[0043] As an optional implementation, in a second aspect of the invention, the specific method by which the construction module constructs a temperature distribution model based on the temperature data and the three-dimensional model of the target vehicle parking area includes:

[0044] Obtain a 3D model of the target vehicle parking area;

[0045] For each of the temperature measuring devices, determine the device position on the three-dimensional model;

[0046] Calculate the influence diameter and influence depth that are proportional to the temperature data from the temperature measuring device;

[0047] With the device location as the center, an influence sphere model is constructed with the influence diameter as the diameter. Data values ​​are assigned to each coordinate point within the influence sphere model according to the influence depth to obtain the temperature measurement influence sphere model.

[0048] The three-dimensional model and each of the temperature-sensing influence spheres therein are defined as temperature distribution models.

[0049] As an optional implementation, in a second aspect of the invention, the specific method by which the construction module assigns coordinate data values ​​to each coordinate point within the influence sphere model according to the influence depth includes:

[0050] For each coordinate point in the influence sphere model, calculate the distance between that coordinate point and the location of the device;

[0051] Calculate the influence weight that is inversely proportional to the distance;

[0052] Calculate the product of the influence weight and the influence depth to obtain the coordinate data value corresponding to the coordinate point.

[0053] As an optional implementation, in a second aspect of the invention, the vehicle information includes multiple vehicle models, vehicle driving information, vehicle location, and vehicle boarding records.

[0054] As an optional implementation, in a second aspect of the invention, the analysis module analyzes the specific methods by which it determines the corresponding risk of temperature rise based on the vehicle information of the target parking area and the temperature distribution model, including:

[0055] The vehicle information of each vehicle placed in the target vehicle placement area is input into the trained vehicle fire risk prediction neural network to obtain the fire risk parameters of each vehicle placed in the target vehicle placement area. The vehicle fire risk prediction neural network is trained using a training dataset that includes information on multiple training vehicles and corresponding fire risk labels.

[0056] The vehicles placed that have a fire risk parameter greater than a preset first parameter threshold are selected to obtain at least one risk vehicle.

[0057] Based on the vehicle information, determine the location of the risky vehicle in the temperature distribution model;

[0058] Based on the location of the at-risk vehicle and the temperature distribution model, the risk of temperature rise in the target vehicle parking area is determined.

[0059] As an optional implementation, in a second aspect of the invention, the analysis module determines the specific method by which it determines the temperature rise risk of the target vehicle parking area based on the location of the at-risk vehicle and the temperature distribution model, including:

[0060] Calculate the average distance between the center position of each temperature influence sphere model and the positions of all the risk vehicles to obtain the risk distance of each temperature influence sphere model;

[0061] Calculate the average of the coordinate data values ​​corresponding to the coordinate points of the intersection of each temperature influence sphere model with all other temperature influence sphere models to obtain the risk value parameter of each temperature influence sphere model;

[0062] Calculate the product of the risk distance and the risk value parameter to obtain the risk characterization parameters for each of the temperature-sensing influence sphere models;

[0063] Temperature-influence sphere models whose risk characterization parameters are greater than the second parameter threshold are selected to obtain temperature rise risk sphere models; the temperature rise risk sphere models are used to characterize that their model regions have a temperature rise risk in the region corresponding to the target vehicle placement area;

[0064] The temperature measuring device corresponding to the temperature rise risk sphere model is identified as the device of interest; the temperature measurement control command corresponding to the device of interest is used to control and improve the working accuracy, working frequency and working energy consumption threshold of the device of interest.

[0065] As an optional implementation, in a second aspect of the invention, the control module determines the specific method of the temperature measurement control command for at least one of the temperature measuring devices based on the temperature rise risk and the vehicle information, including:

[0066] For each device of interest, an adjustment parameter proportional to the risk characterization parameter corresponding to that device of interest is calculated; the adjustment parameter is an accuracy adjustment value, a frequency adjustment value, or an energy consumption threshold adjustment value.

[0067] Obtain the current operating parameters corresponding to the device of interest; the current operating parameters are the current operating accuracy, the current operating frequency, or the current operating energy consumption threshold.

[0068] Calculate the sum of the current operating parameters and the adjustment parameters to obtain the new operating parameters corresponding to the device of interest;

[0069] A temperature control command including the new operating parameters is generated, and the temperature control command is sent to the device under control.

[0070] A third aspect of the present invention discloses another temperature monitoring and control system for automobile and ship temperature monitoring, the system comprising:

[0071] Memory containing executable program code;

[0072] A processor coupled to the memory;

[0073] The processor calls the executable program code stored in the memory to execute some or all of the steps in the temperature control method for monitoring the temperature of automobiles and ships disclosed in the first aspect of the present invention.

[0074] 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 temperature measurement and control method for monitoring the temperature of automobiles and ships disclosed in the first aspect of the present invention.

[0075] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0076] This invention acquires temperature data from multiple temperature measuring devices in the target vehicle area of ​​a car-boat and constructs a temperature distribution model by combining the data with a three-dimensional model of the area. Then, it analyzes the risk of overheating based on vehicle information and the temperature distribution model. Subsequently, it determines the temperature control commands for the temperature measuring devices based on the overheating risk and vehicle information to adjust the accuracy, frequency, and energy consumption threshold of the temperature measurement. This enables precise temperature control based on temperature distribution and risk analysis, improves the accuracy and energy efficiency of temperature detection in car-boats, and reduces the risk of uncontrolled overheating of vehicles and car-boats. Attached Figure Description

[0077] 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.

[0078] Figure 1 This is a schematic flowchart of a temperature control method for monitoring the temperature of automobiles and ships, as disclosed in an embodiment of the present invention.

[0079] Figure 2 This is a schematic diagram of a temperature monitoring and control system for monitoring the temperature of automobiles and ships, as disclosed in an embodiment of the present invention.

[0080] Figure 3 This is a schematic diagram of another temperature monitoring and control system for automobile and ship temperature monitoring disclosed in an embodiment of the present invention. Detailed Implementation

[0081] 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.

[0082] 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.

[0083] 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.

[0084] This invention discloses a temperature control method and system for monitoring the temperature of vehicles on ships. It acquires temperature data from multiple temperature measuring devices in the target vehicle area of ​​the ship and constructs a temperature distribution model by combining this data with a three-dimensional model of the area. Then, based on vehicle information and the temperature distribution model, it analyzes the risk of overheating. Finally, based on the overheating risk and vehicle information, it determines the temperature control commands for the measuring devices to adjust the accuracy, frequency, and energy consumption threshold. This enables precise temperature control based on temperature distribution and risk analysis, improving the accuracy and energy efficiency of temperature detection on ships and reducing the risk of uncontrolled overheating of vehicles and ships. Detailed explanations follow.

[0085] Example 1

[0086] Please see Figure 1 , Figure 1 This is a schematic flowchart of a temperature control method for monitoring the temperature of a car-boat, as disclosed in an embodiment of the present invention. Figure 1 The described temperature control 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 temperature control method for monitoring the temperature of automobiles and ships may include the following operations:

[0087] 101. Obtain temperature data from multiple temperature measuring devices in the target vehicle parking area of ​​the car ship.

[0088] Optionally, the temperature data can be real-time temperature value, temperature change rate, or temperature time series data; this invention does not impose any limitation.

[0089] Optionally, the target vehicle storage area can be the deck area of ​​a carboat, the cabin parking area, or a specific vehicle storage zone; this invention does not impose any limitations.

[0090] 102. Based on temperature data and a 3D model of the target vehicle parking area, construct a temperature distribution model.

[0091] Optionally, the temperature distribution model can be a thermogram model, a temperature field simulation model, or a spatial interpolation model; this invention does not impose any limitations.

[0092] Optionally, the construction process can be optimized by combining environmental parameters or ship operating status, and this invention does not limit it.

[0093] 103. Based on the vehicle information of the target parking area and the temperature distribution model, analyze the corresponding risk of temperature rise.

[0094] 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.

[0095] Optionally, the analysis process can be based on risk assessment algorithms, machine learning models, or thermodynamic simulations, and this invention does not limit it.

[0096] 104. Based on the risk of overheating and vehicle information, determine the temperature control command for at least one temperature measuring device.

[0097] Optionally, temperature control commands are used to control the working accuracy, working frequency, and working energy consumption threshold of the temperature measuring device.

[0098] As can be seen, the above-mentioned embodiments of the invention acquire temperature data from multiple temperature measuring devices in the target vehicle area of ​​the car-boat and construct a temperature distribution model by combining the area with a three-dimensional model. Then, based on vehicle information and the temperature distribution model, the risk of temperature rise is analyzed. Subsequently, the temperature control commands of the temperature measuring devices are determined according to the risk of temperature rise and vehicle information to adjust the temperature measurement accuracy, frequency and energy consumption threshold. This enables precise temperature control based on temperature distribution and risk analysis, improves the accuracy and energy efficiency of temperature detection in car-boats, and reduces the risk of uncontrolled temperature rise in vehicles and car-boats.

[0099] As an optional embodiment, in the above steps, the temperature measuring device includes a quantum well infrared thermometer and a wireless transmission module; the wireless transmission module is a WIFI module, a Bluetooth module, or a radio wave module.

[0100] As can be seen, the above optional embodiments define the functional module composition of the temperature measuring device, which has a fast response speed, high detection rate and strong radiation resistance. It can achieve low power consumption and high precision temperature detection and data transmission, assist in the realization of accurate temperature measurement and control based on temperature distribution and risk analysis, improve the accuracy and energy efficiency of temperature detection for vehicles and ships, and reduce the risk of uncontrolled temperature rise in vehicles and ships.

[0101] As an optional embodiment, the step above, constructing a temperature distribution model based on temperature data and a three-dimensional model of the target vehicle parking area, includes:

[0102] Obtain a 3D model of the target parking area;

[0103] For each temperature measuring device, determine its location on the 3D model;

[0104] Calculate the influence diameter and influence depth that are proportional to the temperature data of the temperature measuring device;

[0105] With the equipment location as the center, construct an influence sphere model with the influence diameter as the diameter, and assign data values ​​to each coordinate point within the influence sphere model according to the influence depth to obtain the temperature measurement influence sphere model.

[0106] The three-dimensional model and each of the temperature-sensing influence spheres within it are defined as the temperature distribution model.

[0107] Optionally, the three-dimensional model can be a spatial structure model generated based on CAD modeling, laser scanning point cloud data, finite element analysis, or three-dimensional reconstruction algorithms; this invention does not impose any limitations on this.

[0108] Optionally, the three-dimensional model may include vehicle location, bulkhead structure, vent location, or environmental obstacle information; this invention does not impose any limitations on this.

[0109] Optionally, the device position can be three-dimensional spatial coordinates, offset relative to a reference point, or regional grid coordinates; this invention does not impose any limitations.

[0110] Optionally, the location of the device can be determined based on device installation records, positioning algorithms, or manual calibration; this invention does not impose any limitations on this.

[0111] Optionally, the temperature data can be a real-time temperature value, a temperature change rate, or an average temperature value; the present invention does not impose any limitation on this.

[0112] Optionally, the diameter and depth of influence can be calculated based on a heat conduction model, empirical formula, or machine learning regression model, and this invention does not limit them.

[0113] Optionally, the calculation process can be corrected by combining ambient temperature, air flow rate, or the sensitivity of temperature measuring equipment; this invention does not limit this.

[0114] Optionally, the influence sphere model can be a spherical model, an ellipsoidal model, or an approximately spherical mesh model; this invention does not impose any limitations.

[0115] Optionally, the data value can be a temperature value, heat flux density, or weighting coefficient, and the present invention does not limit it.

[0116] Optionally, the construction of the influence sphere model can be based on a three-dimensional interpolation algorithm, a thermal diffusion equation, or a simulation algorithm; this invention does not impose any limitations.

[0117] As can be seen, through the above optional embodiments, by obtaining a three-dimensional model of the target vehicle parking area and determining the position of each temperature measuring device in the model, the influence diameter and depth are calculated proportionally to the temperature data. An influence sphere model is constructed with the device position as the center and data values ​​are assigned to the coordinate points inside the sphere according to the influence depth to form a temperature influence sphere model. The three-dimensional model and all temperature influence sphere models are integrated to generate a temperature distribution model, thereby realizing accurate temperature distribution modeling based on device position and temperature influence, improving the accuracy of temperature management and the efficiency of temperature loss risk assessment in vehicle and ship parking areas.

[0118] As an optional embodiment, the step above, assigning coordinate data values ​​to each coordinate point within the influence sphere model according to the influence depth, includes:

[0119] For each coordinate point in the influence sphere model, calculate the distance between that coordinate point and the device location;

[0120] Calculate the influence weights that are inversely proportional to the distance;

[0121] Calculate the product of the influence weight and the influence depth to obtain the coordinate data value corresponding to the coordinate point.

[0122] As can be seen, through the above optional embodiments, by calculating the distance between each coordinate point in the influence sphere model and the location of the temperature measuring device, the influence weight is determined based on the inverse distance ratio, and the product of the influence weight and the influence depth is calculated to obtain the coordinate data value corresponding to the coordinate point. This achieves accurate coordinate data value allocation based on distance weighting and depth analysis, which facilitates subsequent risk gaps and improves the accuracy of the temperature distribution model of the vehicle and ship parking area and the efficiency of heat loss risk assessment.

[0123] As an optional embodiment, the vehicle information in the above steps includes multiple vehicle models, vehicle driving information, vehicle location, and vehicle boarding records.

[0124] Optionally, the vehicle model can be a new energy type of sedan, truck, electric vehicle, or special vehicle; this invention does not impose any limitations.

[0125] Optionally, the vehicle driving information may be mileage, driving time, fuel consumption, or battery status; this invention does not impose any limitations on this.

[0126] Optionally, the vehicle position can be a three-dimensional spatial coordinate, a relative cabin position, or a parking grid number; this invention does not impose any limitations on this.

[0127] Optionally, the vehicle boarding record can be the boarding time, loading sequence, transportation batch, or loading / unloading port information; this invention does not impose any limitations on this.

[0128] As can be seen, the above optional embodiments define the content of vehicle information, which can accurately characterize the information features of the vehicles in the car-boat, facilitate subsequent prediction of vehicle fire risks, assist in achieving precise temperature control based on temperature distribution and risk analysis, improve the accuracy and energy efficiency of temperature detection in the car-boat, and reduce the risk of uncontrolled temperature rise in vehicles and car-boats.

[0129] As an optional embodiment, the step above, analyzing the corresponding temperature rise risk based on vehicle information and a temperature distribution model in the target parking area, includes:

[0130] The vehicle information of each vehicle placed in the target vehicle area is input into the trained vehicle fire risk prediction neural network to obtain the fire risk parameters of each vehicle. Optionally, the vehicle fire risk prediction neural network is trained using a training dataset that includes information on multiple training vehicles and corresponding fire risk labels.

[0131] Select vehicles whose fire risk parameters are greater than a preset first parameter threshold to obtain at least one risk vehicle;

[0132] Based on vehicle information, determine the location of the at-risk vehicle in the temperature distribution model;

[0133] Based on the risk vehicle location and temperature distribution model, the temperature rise risk of the target vehicle storage area is determined.

[0134] Optionally, the first parameter threshold can be a fixed threshold, a dynamic threshold, or a threshold that is adaptively adjusted based on environmental conditions; this invention does not impose any limitations on this.

[0135] Optionally, the screening process can be implemented based on sorting algorithms, threshold filtering, or classification models, and this invention does not limit it.

[0136] Optionally, the risk vehicle may include one or more vehicles with a potential fire risk, which is not limited by the present invention.

[0137] Optionally, the location of the at-risk vehicle can be a three-dimensional spatial coordinate, a relative cabin position, or a grid number; this invention does not impose any limitations on this.

[0138] Optionally, the process of determining the location of the at-risk vehicle can be based on vehicle boarding records, positioning algorithms, or spatial mapping methods, and this invention does not limit the scope of the invention.

[0139] As can be seen, through the above optional embodiments, by inputting the vehicle information of each vehicle in the target vehicle storage area into a trained vehicle fire risk prediction neural network to obtain fire risk parameters, screening out risky vehicles whose parameters exceed a first threshold, determining their position in the temperature distribution model based on the vehicle information, and assessing the temperature rise risk based on the position and the temperature distribution model, a precise temperature rise risk analysis based on vehicle risk and real-time temperature distribution can be achieved, thereby improving the accuracy and efficiency of safety management of vehicle storage areas for car ships and reducing the risk of fire and temperature rise accidents.

[0140] As an optional embodiment, the step above, determining the temperature rise risk of the target vehicle parking area based on the risk vehicle location and temperature distribution model, includes:

[0141] Calculate the average distance between the center position of each temperature influence sphere model and the positions of all at-risk vehicles to obtain the risk distance of each temperature influence sphere model;

[0142] Calculate the average of the coordinate data values ​​corresponding to the coordinate points of the intersection of each temperature influence sphere model with all other temperature influence sphere models to obtain the risk value parameter of each temperature influence sphere model;

[0143] Calculate the product of the risk distance and the risk value parameter to obtain the risk characterization parameters for each temperature-sensing influence sphere model;

[0144] Temperature-influenced sphere models with risk characterization parameters greater than the second parameter threshold are selected to obtain temperature rise risk sphere models; optionally, the temperature rise risk sphere model is used to characterize that there is a temperature rise risk in the area corresponding to the target vehicle placement area in its model area;

[0145] The temperature measuring device corresponding to the temperature rise risk sphere model is identified as the device of interest; the temperature control command corresponding to the device of interest is used to control and improve the working accuracy, working frequency and working energy consumption threshold of the device of interest.

[0146] Optionally, the center position can be the spatial coordinates of the temperature measuring device or the geometric center of the model; this invention does not limit this.

[0147] Optionally, the distance can be calculated based on Euclidean distance, Manhattan distance, or weighted distance algorithms, and this invention does not limit it.

[0148] Optionally, the risk distance can be the average distance, the weighted average distance, or the maximum distance value; this invention does not impose any limitation.

[0149] Optionally, the calculation of the intersection portion can be based on geometric algorithms, mesh generation, or spatial analysis methods, and this invention does not limit it.

[0150] Optionally, the risk value parameter can be a normalized value, a weighted average, or a statistical characteristic value; this invention does not impose any limitations on it.

[0151] Optionally, the calculation of the risk characterization parameter can be based on normalization processing or threshold mapping, and the present invention does not limit it.

[0152] Optionally, the temperature control command may include increasing the sampling frequency, improving the data resolution, or adjusting the power distribution; this invention does not limit this.

[0153] Optionally, the increase in the working energy consumption threshold can be dynamically adjusted based on equipment performance, battery status, or environmental requirements; this invention does not impose any limitations on this.

[0154] As can be seen, through the above optional embodiments, the risk distance is obtained by calculating the average distance between the center of each temperature influence sphere model and the location of the risk vehicle, and the risk value parameter is obtained by calculating the average of the coordinate point data values ​​of the intersection of this model and all other temperature influence sphere models. The risk characterization parameter is obtained by combining the product of the two. The temperature rise risk sphere models exceeding the second threshold are screened out and their corresponding temperature measuring devices are set as the focus devices. Temperature measurement control commands that improve working accuracy, frequency and energy consumption threshold are generated, thereby realizing accurate temperature rise risk assessment and equipment control optimization based on risk distance and intersection analysis, improving the accuracy and safety of temperature management in the vehicle and ship parking areas, and reducing the risk of temperature rise accidents.

[0155] As an optional embodiment, the step described above, determining the temperature control command for at least one temperature measuring device based on the risk of temperature rise and vehicle information, includes:

[0156] For each device of interest, calculate an adjustment parameter that is proportional to the risk characterization parameter corresponding to that device of interest; optionally, the adjustment parameter may be an accuracy adjustment value, a frequency adjustment value, or an energy consumption threshold adjustment value.

[0157] Obtain the current operating parameters corresponding to the device of interest; optionally, the current operating parameters are the current operating accuracy, the current operating frequency, or the current operating energy consumption threshold.

[0158] Calculate the sum of the current operating parameters and the adjustment parameters to obtain the new operating parameters corresponding to the device of interest;

[0159] A temperature control command containing the new operating parameters is generated and sent to the device of interest for control.

[0160] As can be seen, through the above optional embodiments, by calculating an adjustment parameter that is proportional to the risk characterization parameter of the device of interest, and combining the current operating parameters of the device of interest to calculate the sum of the two to obtain a new operating parameter, the temperature measurement effect is improved. A temperature measurement control command containing the new operating parameter is generated and sent to the device of interest for control, thereby realizing the optimization of the parameters of the temperature measurement device based on the degree of risk, improving the accuracy and timeliness of temperature monitoring in the vehicle and ship parking areas, and reducing the risk of temperature rise accidents.

[0161] In one specific implementation scheme, to realize the temperature measurement and control scheme of this invention, an intelligent non-contact temperature detection device is implemented. This device can be installed on car-boats, especially those carrying new energy vehicles, for temperature detection. It includes an infrared temperature measurement module and a communication control module. The infrared temperature measurement module uses a quantum well infrared sensor (model ZT9799), whose working principle is based on the inter-band transitions in the quantum well structure. The quantum well is composed of alternating wide-bandgap materials (such as AlGaAs) and narrow-bandgap materials (such as GaAs), forming a potential well for electrons or holes. When infrared photons are absorbed, electrons in the quantum well transition from the ground state to an excited state or a continuous state. These photogenerated carriers are collected under the action of an external electric field, forming a photocurrent.

[0162] Quantum well infrared detectors possess advantages such as high quantum efficiency and low dark current. Due to their unique energy level structure, quantum well infrared detectors are highly sensitive to infrared light and can operate at relatively low bias voltages, thereby reducing dark current generation. Furthermore, compared to traditional infrared sensors, quantum well infrared detectors also have a wider operating temperature range and better stability. Their temperature measurement capability is significantly improved in the face of thermal shock (rapid changes in ambient temperature or a large temperature difference between the sensor and the measured object), enabling them to operate normally under harsh environmental conditions.

[0163] The communication control module of this solution utilizes the mature and mainstream low-power module ESP32-C6. Designed specifically for Internet of Things (IoT) devices, this module is a system-on-chip (SoC) supporting 2.4GHz Wi-Fi 6, Bluetooth 5, Zigbee 3.0, and Thread 1.3. It integrates a high-performance RISC-V 32-bit processor, a low-power RISC-V 32-bit processor, Wi-Fi, Bluetooth LE, 802.15.4 baseband, MAC, RF module, and peripherals. Wi-Fi, Bluetooth, and 802.15.4 coexist, sharing a single antenna. The module's processor contains built-in executable code to control the operating frequency, accuracy, and power consumption threshold of the infrared temperature measurement module, thereby controlling the temperature measurement device in conjunction with the temperature control commands in this invention.

[0164] Example 2

[0165] Please see Figure 2 , Figure 2 This is a schematic diagram of a temperature monitoring and control system for automobile and ship temperature monitoring, as disclosed in an embodiment of the present invention. Figure 2 The described temperature monitoring and control system for automobile and ship temperature monitoring can be applied to data processing systems / data processing equipment / data processing servers (wherein, the server includes local processing servers or cloud processing servers). For example... Figure 2 As shown, the temperature monitoring and control system for automobile and ship temperature monitoring may include:

[0166] The acquisition module 201 is used to acquire temperature data from multiple temperature measuring devices in the target parking area of ​​the car ship.

[0167] Module 202 is used to build a temperature distribution model based on temperature data and a 3D model of the target vehicle parking area.

[0168] Analysis module 203 is used to analyze the corresponding risk of temperature rise based on vehicle information in the target parking area and temperature distribution model.

[0169] The control module 204 is used to determine the temperature control command for at least one temperature measuring device based on the risk of temperature rise and vehicle information.

[0170] Optionally, temperature control commands are used to control the working accuracy, working frequency, and working energy consumption threshold of the temperature measuring device.

[0171] As can be seen, the above-mentioned embodiments of the invention acquire temperature data from multiple temperature measuring devices in the target vehicle area of ​​the car-boat and construct a temperature distribution model by combining the area with a three-dimensional model. Then, based on vehicle information and the temperature distribution model, the risk of temperature rise is analyzed. Subsequently, the temperature control commands of the temperature measuring devices are determined according to the risk of temperature rise and vehicle information to adjust the temperature measurement accuracy, frequency and energy consumption threshold. This enables precise temperature control based on temperature distribution and risk analysis, improves the accuracy and energy efficiency of temperature detection in car-boats, and reduces the risk of uncontrolled temperature rise in vehicles and car-boats.

[0172] As an optional embodiment, the temperature measuring device includes a quantum well infrared thermometer and a wireless transmission module; the wireless transmission module is a WIFI module, a Bluetooth module, or a radio wave module.

[0173] As can be seen, the above optional embodiments define the functional module composition of the temperature measuring device, which has a fast response speed, high detection rate and strong radiation resistance. It can achieve low power consumption and high precision temperature detection and data transmission, assist in the realization of accurate temperature measurement and control based on temperature distribution and risk analysis, improve the accuracy and energy efficiency of temperature detection for vehicles and ships, and reduce the risk of uncontrolled temperature rise in vehicles and ships.

[0174] As an optional embodiment, the construction module constructs a temperature distribution model based on temperature data and a 3D model of the target vehicle parking area in the following specific ways:

[0175] Obtain a 3D model of the target parking area;

[0176] For each temperature measuring device, determine its location on the 3D model;

[0177] Calculate the influence diameter and influence depth that are proportional to the temperature data of the temperature measuring device;

[0178] With the equipment location as the center, construct an influence sphere model with the influence diameter as the diameter, and assign data values ​​to each coordinate point within the influence sphere model according to the influence depth to obtain the temperature measurement influence sphere model.

[0179] The three-dimensional model and each of the temperature-sensing influence spheres within it are defined as the temperature distribution model.

[0180] As can be seen, through the above optional embodiments, by obtaining a three-dimensional model of the target vehicle parking area and determining the position of each temperature measuring device in the model, the influence diameter and depth are calculated proportionally to the temperature data. An influence sphere model is constructed with the device position as the center and data values ​​are assigned to the coordinate points inside the sphere according to the influence depth to form a temperature influence sphere model. The three-dimensional model and all temperature influence sphere models are integrated to generate a temperature distribution model, thereby realizing accurate temperature distribution modeling based on device position and temperature influence, improving the accuracy of temperature management and the efficiency of temperature loss risk assessment in vehicle and ship parking areas.

[0181] As an optional implementation, the specific method by which the construction module assigns coordinate data values ​​to each coordinate point within the influence sphere model based on the influence depth includes:

[0182] For each coordinate point in the influence sphere model, calculate the distance between that coordinate point and the device location;

[0183] Calculate the influence weights that are inversely proportional to the distance;

[0184] Calculate the product of the influence weight and the influence depth to obtain the coordinate data value corresponding to the coordinate point.

[0185] As can be seen, through the above optional embodiments, by calculating the distance between each coordinate point in the influence sphere model and the location of the temperature measuring device, the influence weight is determined based on the inverse distance ratio, and the product of the influence weight and the influence depth is calculated to obtain the coordinate data value corresponding to the coordinate point. This achieves accurate coordinate data value allocation based on distance weighting and depth analysis, which facilitates subsequent risk gaps and improves the accuracy of the temperature distribution model of the vehicle and ship parking area and the efficiency of heat loss risk assessment.

[0186] As an optional embodiment, the vehicle information includes multiple vehicle models, vehicle driving information, vehicle location, and vehicle boarding records.

[0187] As can be seen, the above optional embodiments define the content of vehicle information, which can accurately characterize the information features of the vehicles in the car-boat, facilitate subsequent prediction of vehicle fire risks, assist in achieving precise temperature control based on temperature distribution and risk analysis, improve the accuracy and energy efficiency of temperature detection in the car-boat, and reduce the risk of uncontrolled temperature rise in vehicles and car-boats.

[0188] As an optional implementation, the analysis module analyzes the specific ways in which the corresponding temperature rise risk is identified based on vehicle information in the target parking area and a temperature distribution model, including:

[0189] The vehicle information of each vehicle placed in the target vehicle area is input into the trained vehicle fire risk prediction neural network to obtain the fire risk parameters of each vehicle. Optionally, the vehicle fire risk prediction neural network is trained using a training dataset that includes information on multiple training vehicles and corresponding fire risk labels.

[0190] Select vehicles whose fire risk parameters are greater than a preset first parameter threshold to obtain at least one risk vehicle;

[0191] Based on vehicle information, determine the location of the at-risk vehicle in the temperature distribution model;

[0192] Based on the risk vehicle location and temperature distribution model, the temperature rise risk of the target vehicle storage area is determined.

[0193] As can be seen, through the above optional embodiments, by inputting the vehicle information of each vehicle in the target vehicle storage area into a trained vehicle fire risk prediction neural network to obtain fire risk parameters, screening out risky vehicles whose parameters exceed a first threshold, determining their position in the temperature distribution model based on the vehicle information, and assessing the temperature rise risk based on the position and the temperature distribution model, a precise temperature rise risk analysis based on vehicle risk and real-time temperature distribution can be achieved, thereby improving the accuracy and efficiency of safety management of vehicle storage areas for car ships and reducing the risk of fire and temperature rise accidents.

[0194] As an optional implementation, the analysis module determines the specific manner in which the temperature rise risk in the target vehicle parking area is determined based on the location of the at-risk vehicle and the temperature distribution model, including:

[0195] Calculate the average distance between the center position of each temperature influence sphere model and the positions of all at-risk vehicles to obtain the risk distance of each temperature influence sphere model;

[0196] Calculate the average of the coordinate data values ​​corresponding to the coordinate points of the intersection of each temperature influence sphere model with all other temperature influence sphere models to obtain the risk value parameter of each temperature influence sphere model;

[0197] Calculate the product of the risk distance and the risk value parameter to obtain the risk characterization parameters for each temperature-sensing influence sphere model;

[0198] Temperature-influenced sphere models with risk characterization parameters greater than the second parameter threshold are selected to obtain temperature rise risk sphere models; optionally, the temperature rise risk sphere model is used to characterize that there is a temperature rise risk in the area corresponding to the target vehicle placement area in its model area;

[0199] The temperature measuring device corresponding to the temperature rise risk sphere model is identified as the device of interest; the temperature control command corresponding to the device of interest is used to control and improve the working accuracy, working frequency and working energy consumption threshold of the device of interest.

[0200] As can be seen, through the above optional embodiments, the risk distance is obtained by calculating the average distance between the center of each temperature influence sphere model and the location of the risk vehicle, and the risk value parameter is obtained by calculating the average of the coordinate point data values ​​of the intersection of this model and all other temperature influence sphere models. The risk characterization parameter is obtained by combining the product of the two. The temperature rise risk sphere models exceeding the second threshold are screened out and their corresponding temperature measuring devices are set as the focus devices. Temperature measurement control commands that improve working accuracy, frequency and energy consumption threshold are generated, thereby realizing accurate temperature rise risk assessment and equipment control optimization based on risk distance and intersection analysis, improving the accuracy and safety of temperature management in the vehicle and ship parking areas, and reducing the risk of temperature rise accidents.

[0201] As an optional embodiment, the control module determines the specific method of the temperature measurement control command for at least one temperature measuring device based on the risk of temperature rise and vehicle information, including:

[0202] For each device of interest, calculate an adjustment parameter that is proportional to the risk characterization parameter corresponding to that device of interest; optionally, the adjustment parameter may be an accuracy adjustment value, a frequency adjustment value, or an energy consumption threshold adjustment value.

[0203] Obtain the current operating parameters corresponding to the device of interest; optionally, the current operating parameters are the current operating accuracy, the current operating frequency, or the current operating energy consumption threshold.

[0204] Calculate the sum of the current operating parameters and the adjustment parameters to obtain the new operating parameters corresponding to the device of interest;

[0205] A temperature control command containing the new operating parameters is generated and sent to the device of interest for control.

[0206] As can be seen, through the above optional embodiments, by calculating an adjustment parameter that is proportional to the risk characterization parameter of the device of interest, and combining the current operating parameters of the device of interest to calculate the sum of the two to obtain a new operating parameter, the temperature measurement effect is improved. A temperature measurement control command containing the new operating parameter is generated and sent to the device of interest for control, thereby realizing the optimization of the parameters of the temperature measurement device based on the degree of risk, improving the accuracy and timeliness of temperature monitoring in the vehicle and ship parking areas, and reducing the risk of temperature rise accidents.

[0207] Example 3

[0208] Please see Figure 3 , Figure 3 This is another temperature measurement and control system for monitoring the temperature of automobiles and ships disclosed in the embodiments of the present invention. Figure 3 The described temperature monitoring and control system for automobile and ship temperature monitoring 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 temperature monitoring and control system for automobile and ship temperature monitoring may include:

[0209] Memory 301 storing executable program code;

[0210] Processor 302 coupled to memory 301;

[0211] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the temperature control method for monitoring the temperature of a car or ship as described in Embodiment 1.

[0212] Example 4

[0213] 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 temperature control method for monitoring the temperature of a car or ship as described in Embodiment 1.

[0214] Example 5

[0215] 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 temperature measurement and control method for monitoring the temperature of a car or ship as described in Embodiment 1.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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.

[0229] Finally, it should be noted that the temperature control method and system for monitoring the temperature of 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; and these 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 temperature measurement and control method for monitoring temperature in automobiles and ships, characterized in that, The method includes: Acquire temperature data from multiple temperature measuring devices in the target vehicle storage area of ​​the car ship; Based on the temperature data and the three-dimensional model of the target vehicle parking area, a temperature distribution model is constructed; Based on the vehicle information of the target parking area and the temperature distribution model, the corresponding risk of temperature rise is analyzed; Based on the temperature rise risk and the vehicle information, at least one temperature measurement control command for the temperature measuring device is determined; the temperature measurement control command is used to control the working accuracy, working frequency and working energy consumption threshold of the temperature measuring device.

2. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 1, characterized in that, The temperature measuring device includes a quantum trap infrared thermometer and a wireless transmission module; the wireless transmission module is a WIFI module, a Bluetooth module, or a radio wave module.

3. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 1, characterized in that, The construction of a temperature distribution model based on the temperature data and the three-dimensional model of the target vehicle parking area includes: Obtain a 3D model of the target vehicle parking area; For each of the temperature measuring devices, determine the device position on the three-dimensional model; Calculate the influence diameter and influence depth that are proportional to the temperature data from the temperature measuring device; With the device location as the center, an influence sphere model is constructed with the influence diameter as the diameter. Data values ​​are assigned to each coordinate point within the influence sphere model according to the influence depth to obtain the temperature measurement influence sphere model. The three-dimensional model and each of the temperature-sensing influence spheres therein are defined as temperature distribution models.

4. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 3, characterized in that, Assigning coordinate data values ​​to each coordinate point within the influence sphere model based on the influence depth includes: For each coordinate point in the influence sphere model, calculate the distance between that coordinate point and the location of the device; Calculate the influence weight that is inversely proportional to the distance; Calculate the product of the influence weight and the influence depth to obtain the coordinate data value corresponding to the coordinate point.

5. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 4, characterized in that, The vehicle information includes the vehicle model, driving information, location, and boarding record of multiple vehicles.

6. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 5, characterized in that, The step of analyzing the corresponding temperature rise risk based on the vehicle information of the target parking area and the temperature distribution model includes: The vehicle information of each vehicle placed in the target vehicle placement area is input into the trained vehicle fire risk prediction neural network to obtain the fire risk parameters of each vehicle placed in the target vehicle placement area. The vehicle fire risk prediction neural network is trained using a training dataset that includes information on multiple training vehicles and corresponding fire risk labels. The vehicles placed that have a fire risk parameter greater than a preset first parameter threshold are selected to obtain at least one risk vehicle. Based on the vehicle information, determine the location of the risky vehicle in the temperature distribution model; Based on the location of the at-risk vehicle and the temperature distribution model, the risk of temperature rise in the target vehicle parking area is determined.

7. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 6, characterized in that, The step of determining the temperature rise risk of the target vehicle storage area based on the location of the at-risk vehicle and the temperature distribution model includes: Calculate the average distance between the center position of each temperature influence sphere model and the positions of all the risk vehicles to obtain the risk distance of each temperature influence sphere model; Calculate the average of the coordinate data values ​​corresponding to the coordinate points of the intersection of each temperature influence sphere model with all other temperature influence sphere models to obtain the risk value parameter of each temperature influence sphere model; Calculate the product of the risk distance and the risk value parameter to obtain the risk characterization parameters for each of the temperature-sensing influence sphere models; Temperature-influence sphere models whose risk characterization parameters are greater than the second parameter threshold are selected to obtain temperature rise risk sphere models; the temperature rise risk sphere models are used to characterize that their model regions have a temperature rise risk in the region corresponding to the target vehicle placement area; The temperature measuring device corresponding to the temperature rise risk sphere model is identified as the device of interest; the temperature measurement control command corresponding to the device of interest is used to control and improve the working accuracy, working frequency and working energy consumption threshold of the device of interest.

8. The temperature measurement and control method for monitoring the temperature of automobiles and ships according to claim 7, characterized in that, The step of determining a temperature control command for at least one of the temperature measuring devices based on the temperature rise risk and the vehicle information includes: For each device of interest, an adjustment parameter proportional to the risk characterization parameter corresponding to that device of interest is calculated; the adjustment parameter is an accuracy adjustment value, a frequency adjustment value, or an energy consumption threshold adjustment value. Obtain the current operating parameters corresponding to the device of interest; the current operating parameters are the current operating accuracy, the current operating frequency, or the current operating energy consumption threshold. Calculate the sum of the current operating parameters and the adjustment parameters to obtain the new operating parameters corresponding to the device of interest; A temperature control command including the new operating parameters is generated, and the temperature control command is sent to the device under control.

9. A temperature monitoring and control system for automobiles and ships, characterized in that, The system includes: The acquisition module is used to acquire temperature data from multiple temperature measuring devices in the target vehicle parking area of ​​the car ship; A construction module is used to construct a temperature distribution model based on the temperature data and a three-dimensional model of the target vehicle parking area; The analysis module is used to analyze the corresponding risk of temperature rise based on the vehicle information of the target parking area and the temperature distribution model. The control module is used to determine a temperature control command for at least one of the temperature measuring devices based on the temperature rise risk and the vehicle information; the temperature control command is used to control the working accuracy, working frequency and working energy consumption threshold of the temperature measuring device.

10. A temperature monitoring and control system for 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 temperature control method for monitoring the temperature of automobiles and ships as described in any one of claims 1-8.

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