Train heating and temperature control method, device, equipment, medium and program

Abstract

The invention relates to a train heating and temperature control method and device, equipment, a storage medium and a computer program, and the method comprises the steps: obtaining the historical operation data of a train, and constructing a train photovoltaic module physical model according to the historical operation data; generating a temperature electric signal of a preset measuring point according to the photovoltaic module physical model, and performing signal data conversion on the temperature electric signal to obtain temperature data; generating temperature control data corresponding to the preset measuring point according to the temperature data; and generating a corresponding heating method according to the temperature control data, and heating the train according to the heating method. The accurate temperature control capacity of the freight train is improved, and low energy consumption is achieved in the heating process.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a train heating and temperature control method, device, equipment, medium and program. Background Art

[0002] With the rapid progress of photovoltaic technology and the continuous maturity of energy storage technology, integrating the two and applying them to directional heating and temperature control systems has become a hot research direction in the current field of energy utilization.

[0003] However, the existing photovoltaic and energy storage-based directional heating and temperature control systems mainly focus on the storage and supply of electric energy, but fail to fully meet the demand for precise control of temperature data. Especially in the specific application scenario of freight trains, due to differences in cargo types, transportation distances and external environments, the requirements for heating methods and temperature control are also different. Existing systems can often only provide fixed power output and cannot flexibly adjust heating strategies according to actual needs, resulting in high energy consumption and inaccurate temperature control; in addition, the existing heating / heating films and directional heat transfer devices are often not fully considered in their design. Special working conditions on freight trains, such as low energy consumption and pollution-free, not only limit the scope of application of the system, but also increase operating costs and environmental burdens.

[0004] Therefore, how to improve the precise temperature control capability of freight trains and achieve low energy consumption during the heating process has become an urgent problem to be solved. Summary of the invention

[0005] The present application provides a train heating and temperature control method, device, equipment, medium and program to solve the problems of poor temperature control ability of freight trains and high energy consumption during heating.

[0006] In a first aspect, the present application provides a train heating and temperature control method, comprising:

[0007] Acquire historical operation data of the train, and construct a physical model of the train photovoltaic components according to the historical operation data;

[0008] Generate a temperature electrical signal of a preset measuring point according to the photovoltaic module physical model, and convert the temperature electrical signal into signal data to obtain temperature data;

[0009] Generate temperature control data corresponding to the preset measuring point according to the temperature data;

[0010] A corresponding heating method is generated according to the temperature control data, and the train is heated according to the heating method.

[0011] In some embodiments, constructing a train photovoltaic assembly physical model according to the historical operation data includes:

[0012] Determine the train photovoltaic component physical model nodes and the connection relationship between the train photovoltaic component physical model nodes according to the historical operation data;

[0013] Extracting node code components corresponding to the physical model nodes of the train photovoltaic components from a pre-built database;

[0014] The node code components are spliced ​​according to the connection relationship to obtain a physical model of the train photovoltaic component.

[0015] In some embodiments, converting the temperature electrical signal into signal data to obtain temperature data includes:

[0016] Filtering the temperature electrical signal to obtain an electrical signal to be converted;

[0017] Performing digital signal conversion on the electrical signal to be converted to obtain a target digital signal;

[0018] The target digital signal is converted into a temperature value according to a preset temperature conversion algorithm to obtain temperature data.

[0019] In some embodiments, converting the to-be-converted electrical signal into a digital signal to obtain a target digital signal includes:

[0020] Discretizing the electrical signal to be converted in the time domain to obtain a discrete signal value;

[0021] quantizing the discrete signal value to obtain a quantized signal value;

[0022] The quantized signal value is digitally encoded to obtain a target digital signal.

[0023] In some embodiments, generating temperature control data corresponding to the preset measuring point according to the temperature data includes:

[0024] Comparing the temperature data with a preset temperature threshold to obtain a comparison result;

[0025] When the comparison result is that the temperature data is less than the temperature threshold, obtaining first temperature control data;

[0026] When the comparison result is that the temperature data is greater than the temperature threshold, obtaining second temperature control data;

[0027] When the comparison result is that the temperature data is equal to the temperature threshold, obtaining third temperature control data;

[0028] The first temperature control data, the second temperature control data and the third temperature control data are collected to obtain temperature control data.

[0029] In some embodiments, generating a corresponding heating method according to the temperature control data includes:

[0030] Recording the temperature control data in a chart to obtain a temperature change trend line;

[0031] Setting the train heating parameters according to the temperature change trend line;

[0032] A heating method corresponding to the temperature control data is generated according to the heating parameters.

[0033] In a second aspect, the present application provides a train heating and temperature control device, comprising:

[0034] A model building module, used to obtain historical operation data of the train and build a physical model of the train photovoltaic components according to the historical operation data;

[0035] A signal conversion module, used to generate a temperature electrical signal of a preset measuring point according to the photovoltaic module physical model, and perform signal data conversion on the temperature electrical signal to obtain temperature data;

[0036] A data generation module, used to generate temperature control data corresponding to the preset measuring point according to the temperature data;

[0037] The train heating module is used to generate a corresponding heating method according to the temperature control data, and heat the train according to the heating method.

[0038] In a third aspect, the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above aspects.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the above aspects when executed by a processor.

[0040] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the steps of the method described in the above aspects when executed by a processor.

[0041] The present application provides a train heating and temperature control method, device, equipment, medium and program, which ensure the accuracy and reliability of data by obtaining historical operation data of the train and performing data cleaning and other operations thereon, and establishes a photovoltaic module physical model based on the historical operation data to improve the flexibility and scalability of the model; through filtering processing and digital signal conversion, it can effectively suppress noise and interference, improve the accuracy of temperature data, and at the same time enhance the stability and reliability of the train's temperature control capability, reduce errors caused by signal fluctuations, and facilitate subsequent processing and analysis; targeted temperature control data can be generated through accurate temperature data, thereby achieving precise control of the temperature of photovoltaic modules, which helps to improve the photoelectric conversion efficiency. The generation and application of temperature control data enables the train to more accurately perceive and respond to environmental changes during the heating process, and can optimize the use of photovoltaic energy and achieve low energy consumption; through accurate analysis of temperature control data, a customized heating strategy can be generated according to the current and expected temperature requirements of the train, thereby avoiding excessive energy consumption, and at the same time ensuring the rapid and stable adjustment of the temperature inside the train cargo, thereby improving the overall heating efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present application will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0043] Figure 1 A flow chart of a train heating and temperature control method provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of the functional modules of a train heating and temperature control device provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the structure of an electronic device for a train heating and temperature control method provided in an embodiment of the present application.

[0046] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0047] In order to enable those skilled in the art to better understand the technical solution of the present application, and to fully understand and implement how the present application applies technical means to solve technical problems and achieve the corresponding technical effects, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only embodiments of a part of the present application, not all embodiments. The embodiments of the present application and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the scope of protection of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work should belong to the scope of protection of the present application.

[0048] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0049] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0050] An embodiment of the present application provides a train heating and temperature control method. The execution subject of the train heating and temperature control method includes but is not limited to a server, a terminal, etc. that can be configured to execute at least one of the electronic devices of the system provided in the embodiment of the present application. In other words, the train heating and temperature control method can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0051] Embodiment 1

[0052] Figure 1 A flow chart of a train heating and temperature control method provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the train heating and temperature control method comprises:

[0053] S1. Obtain historical operation data of a train, and construct a physical model of the train's photovoltaic components based on the historical operation data.

[0054] In an embodiment of the present invention, the historical operation data refers to a series of data such as the train running time, speed, position, energy consumption, heating record, cargo temperature, etc. during the operation of the train. After obtaining the operation data, pre-processing work such as data cleaning is performed to ensure the reliability of the historical operation data.

[0055] In an embodiment of the present invention, programming languages ​​such as Python and Java can be used to connect to a pre-built database through the HTTP protocol, and an HTTP request can be sent to obtain the historical operation data of the train, so as to obtain the historical operation data.

[0056] In an embodiment of the present invention, the step of constructing a train photovoltaic assembly physical model according to the historical operation data includes:

[0057] Determine the train photovoltaic component physical model nodes and the connection relationship between the train photovoltaic component physical model nodes according to the historical operation data;

[0058] Extracting node code components corresponding to the physical model nodes of the train photovoltaic components from a pre-built database;

[0059] The node code components are spliced ​​according to the connection relationship to obtain a physical model of the train photovoltaic component.

[0060] In detail, key information is extracted from historical operating data, and the key information can reflect the actual operating status and performance of the train photovoltaic components. The nodes in the model are determined based on the key information. The nodes include different parts of the photovoltaic component physical model, such as solar panels, inverters, controllers, etc., and the connection relationship between these nodes, such as electrical connection, signal transmission, energy flow, etc., is determined. In a pre-built database, various possible node code components are stored to represent different physical nodes. The corresponding node code components are extracted from the database, and the node code components are spliced ​​according to the connection relationship between the nodes, that is, the code modules are organized in a certain logical order to obtain a complete photovoltaic component physical model.

[0061] Furthermore, the splicing process may include dealing with a series of issues such as parameter configuration and interface docking to ensure the correctness and reliability of the splicing logic and improve the flexibility and scalability of the physical model.

[0062] In an embodiment of the present invention, the accuracy and reliability of the data are ensured by obtaining the historical operation data of the train and performing data cleaning and the like, and a physical model of the photovoltaic components is constructed based on the historical operation data to improve the flexibility of the model and prepare electrical energy for subsequent train heating, thereby reducing subsequent heating costs and energy consumption.

[0063] S2. Generate a temperature electrical signal of a preset measuring point according to the photovoltaic module physical model, and convert the temperature electrical signal into signal data to obtain temperature data.

[0064] In an embodiment of the present invention, a temperature electrical signal is generated at a preset measuring point based on the physical model of the photovoltaic module. After pre-processing such as filtering and amplification, the signal is converted into a digital signal through discretization, quantization and encoding. According to a preset temperature-digital signal correspondence algorithm, the converted digital signal is parsed into specific temperature data, thereby realizing digital acquisition and accurate expression of temperature information.

[0065] In the embodiment of the present invention, representative measuring point positions are selected according to the structural characteristics and heat dissipation conditions of the physical model of the photovoltaic module to ensure that the measuring point positions can accurately reflect the temperature distribution of the photovoltaic module, the temperature sensor is installed at the preset measuring point position to ensure good thermal contact between the sensor and the photovoltaic module, the output signal of the temperature sensor is connected to a preset signal processing circuit, and the output signal of the temperature sensor is converted into an electrical signal corresponding to the temperature through the signal processing circuit.

[0066] In an embodiment of the present invention, multiple temperature electrical signals are collected from each measuring point, and signal data conversion is performed on the multiple temperature electrical signals to obtain temperature data of each measuring point. The temperature data of each measuring point are collected as target temperature data to prepare for subsequent temperature data processing.

[0067] In the embodiment of the present invention, converting the temperature electrical signal into signal data to obtain temperature data includes:

[0068] Filtering the temperature electrical signal to obtain an electrical signal to be converted;

[0069] Performing digital signal conversion on the electrical signal to be converted to obtain a target digital signal;

[0070] The target digital signal is converted into a temperature value according to a preset temperature conversion algorithm to obtain temperature data.

[0071] In detail, a low-pass filter can be used to filter out noise and interference in the temperature electrical signal to ensure the quality and stability of the signal, so as to truly reflect the temperature changes and obtain a smoother and more stable electrical signal to be converted. The continuous electrical signal to be converted is converted into a discrete digital signal for subsequent digital processing and storage. The target digital signal is converted into a specific temperature value according to a preset temperature conversion algorithm. The temperature conversion algorithm is usually derived based on the characteristics of the temperature sensor and the calibration results, and can establish a one-to-one correspondence between the digital signal and the temperature value to obtain the temperature value.

[0072] In an embodiment of the present invention, the step of converting the electrical signal to be converted into a digital signal to obtain a target digital signal includes:

[0073] Discretizing the electrical signal to be converted in the time domain to obtain a discrete signal value;

[0074] quantizing the discrete signal value to obtain a quantized signal value;

[0075] The quantized signal value is digitally encoded to obtain a target digital signal.

[0076] Furthermore, the continuously changing electrical signal is discretized in the time domain, i.e., the sampling process. The electrical signal is discretized according to a preset sampling rate. The sampling rate determines the frequency resolution of the converted digital signal. The sampling rate should be high enough to distinguish the smallest voltage or current change. High-precision sampling can ensure that the details of the signal are accurately captured. The quantization process is the process of mapping discrete signal values ​​to a limited number of quantization levels. The number of quantization bits determines the number of quantization levels. A higher number of quantization bits can provide more quantization levels, thereby reducing quantization errors. The digital coding is the process of converting quantized signal values ​​into digital codewords. The digital coding methods include binary coding, etc. In the coding process, data compression technology should also be considered to reduce the amount of data stored and transmitted to achieve high-quality digital signal conversion.

[0077] In the embodiment of the present invention, through filtering processing and digital signal conversion, noise and interference can be effectively suppressed, the accuracy of temperature data can be improved, and at the same time the stability and reliability of the train's temperature control capability can be enhanced, the error caused by signal fluctuations can be reduced, and subsequent processing and analysis can be facilitated.

[0078] S3. Generate temperature control data corresponding to the preset measuring point according to the temperature data.

[0079] In an embodiment of the present invention, the temperature control data required for the preset measuring point is obtained by comparing the obtained temperature data with a preset temperature threshold. The temperature control data includes a target temperature value, a temperature control strategy (such as heating, cooling) and execution parameters, thereby ensuring that the physical model of the photovoltaic module operates within an appropriate temperature range and improving the heating efficiency and temperature control capability.

[0080] In an embodiment of the present invention, generating temperature control data corresponding to the preset measuring point according to the temperature data includes:

[0081] Comparing the temperature data with a preset temperature threshold to obtain a comparison result;

[0082] When the comparison result is that the temperature data is less than the temperature threshold, obtaining first temperature control data;

[0083] When the comparison result is that the temperature data is greater than the temperature threshold, obtaining second temperature control data;

[0084] When the comparison result is that the temperature data is equal to the temperature threshold, obtaining third temperature control data;

[0085] The first temperature control data, the second temperature control data and the third temperature control data are collected to obtain temperature control data.

[0086] In detail, the temperature data is compared with a preset temperature threshold to determine whether the temperature data is within the range of the preset temperature threshold. When the temperature data is less than the preset temperature threshold, that is, the temperature of the target cargo on the train is lower than the temperature range required for normal operation, the temperature data less than the preset temperature threshold is collected as the first temperature control data. When the temperature data is greater than the preset temperature threshold, that is, the temperature of the target cargo on the train is higher than the temperature range required for normal operation, the temperature data greater than the preset temperature threshold is collected as the second temperature control data. When the temperature data is equal to the preset temperature threshold, that is, the temperature of the target cargo on the train is exactly equal to the temperature range required for normal operation, no processing is required at this time.

[0087] In the embodiment of the present invention, targeted temperature control data can be generated through accurate temperature data, thereby achieving precise control of the temperature of photovoltaic modules, which is helpful to improve the photoelectric conversion efficiency. The generation and application of temperature control data enables the train to more accurately perceive and respond to environmental changes during the heating process, thereby maintaining a stable operating state and reducing system failures and downtime caused by temperature problems. At the same time, through precise temperature control and the generation of temperature control data, energy utilization can be optimized and low energy consumption can be achieved.

[0088] S4. Generate a corresponding heating method according to the temperature control data, and heat the train according to the heating method.

[0089] In an embodiment of the present invention, a corresponding heating method is generated according to temperature control data, key parameters such as the target heating temperature, heating rate and duration are determined, and the train is precisely controlled according to the set heating parameters, thereby improving the heating efficiency of the train and the precise temperature control capability of the train.

[0090] In an embodiment of the present invention, the step of generating a corresponding heating method according to the temperature control data includes:

[0091] Recording the temperature control data in a chart to obtain a temperature change trend line;

[0092] Setting the train heating parameters according to the temperature change trend line;

[0093] A heating method corresponding to the temperature control data is generated according to the heating parameters.

[0094] In detail, the temperature control data refers to the temperature data corresponding to each preset measuring point within a period of time. The heating method of each preset measuring point is generated to heat the entire train. The chart record can use data visualization tools (such as Excel, Tableau, etc.) to draw the temperature control data into a trend line chart. The chart contains a time axis and a temperature axis to observe the temperature change trend over time. At a certain moment, the temperature control data is the first temperature control data or the second temperature control data. The train heating parameters are set according to the temperature change trend line. The heating parameters include the heating power and heating time of the pre-configured graphene heating material. The train is heated according to the relevant heating parameters to reach the target temperature.

[0095] In an embodiment of the present invention, if the temperature control data is the first temperature control data, a preset first temperature threshold is determined to be a target temperature, a preset train control system is used to connect a preconfigured graphene heating material, the train control system is started, a heating instruction is obtained, and the graphene heating material is used to heat the inner surface of the body of the train according to the heating instruction and the heating parameters to obtain inner surface heat, the inner surface heat is transferred to the target cargo of the train through heat conduction, and the temperature of the target cargo is heated to the target temperature.

[0096] Furthermore, when the temperature control data is the first temperature control data, it indicates a heating demand. The graphene material, i.e., the internal resistance wire, generates heat to heat the inner surface of the train body, so that the inner surface temperature increases. As the inner surface temperature of the body increases, the heat is transferred to the water-containing bulk cargo in the train through heat conduction. After the cargo absorbs the heat, its temperature gradually increases until the target temperature is reached.

[0097] Furthermore, if the temperature control data is the second temperature control data, the preset second temperature threshold is determined to be the target temperature, the preset train control system is used to connect the preconfigured graphene heating material, the graphene heating material is stopped from being used to heat the train, the cooling temperature is obtained, and the cooling temperature is waited for to drop to the target temperature.

[0098] Furthermore, when the temperature control data is the third temperature control data, it indicates that the target cargo temperature of the train is exactly equal to the temperature range required for normal operation. At this time, no heating or cooling treatment is required. After waiting for a period of time, observe the changes in the temperature control data and then perform further heating treatment.

[0099] In the embodiment of the present invention, by generating a temperature change trend line corresponding to each measuring point to heat each measuring point, thereby heating the entire train, a heating strategy can be customized according to the current and expected temperature requirements of the train, thereby avoiding excessive consumption of energy, and at the same time ensuring the rapid and stable adjustment of the temperature inside the train cargo, thereby improving the overall heating efficiency.

[0100] The present invention ensures the accuracy and reliability of data by acquiring historical operation data of the train and performing data cleaning and the like, and establishes a photovoltaic module physical model based on the historical operation data to improve the flexibility and scalability of the model; through filtering processing and digital signal conversion, it can effectively suppress noise and interference, improve the accuracy of temperature data, and at the same time enhance the stability and reliability of the train's temperature control capability, reduce errors caused by signal fluctuations, and facilitate subsequent processing and analysis; targeted temperature control data can be generated through accurate temperature data, thereby achieving precise control of the temperature of the photovoltaic module, which helps to improve the photoelectric conversion efficiency. The generation and application of temperature control data enables the train to more accurately perceive and respond to environmental changes during the heating process, and can optimize the utilization of photovoltaic energy and achieve low energy consumption; through accurate analysis of temperature control data, a customized heating strategy can be generated according to the current and expected temperature requirements of the train, thereby avoiding excessive energy consumption, and also ensuring the rapid and stable adjustment of the internal temperature of the train cargo, thereby improving the overall heating efficiency.

[0101] Embodiment 2

[0102] like Figure 2 , which is a functional module diagram of a train heating and temperature control device 100 provided for this embodiment.

[0103] The train heating and temperature control device 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the train heating and temperature control device 100 can include a model building module 101, a signal conversion module 102, a data generation module 103, and a train heating module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0104] In this embodiment, the functions of each module / unit are as follows:

[0105] A model building module 101 is used to obtain historical operation data of the train and build a physical model of the train photovoltaic components according to the historical operation data;

[0106] A signal conversion module 102 is used to generate a temperature electrical signal of a preset measuring point according to the photovoltaic module physical model, and perform signal data conversion on the temperature electrical signal to obtain temperature data;

[0107] A data generating module 103, configured to generate temperature control data corresponding to the preset measuring point according to the temperature data;

[0108] The train heating module 104 is used to generate a corresponding heating method according to the temperature control data, and heat the train according to the heating method.

[0109] Embodiment 3

[0110] Figure 3 A schematic diagram of the structure of an electronic device for a train heating and temperature control method provided in an embodiment of the present application.

[0111] On the basis of the above embodiments, this embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above embodiments.

[0112] In some implementations of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that when the computer program is executed by a processor, the steps of the method described in the above embodiment are implemented.

[0113] In some implementations of this embodiment, a computer program product is provided, including a computer program, characterized in that when the computer program is executed by a processor, the steps of the method described in the above embodiment are implemented.

[0114] The processor may include, but is not limited to, one or more processors or microprocessors, etc. Each processor may be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components to execute the methods in the above embodiments.

[0115] The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, and the computer-readable storage medium may include but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (e.g., hard disk, floppy disk, solid-state drive, removable disk, CD ROM, DVD ROM, Blu-ray disc, etc.).

[0116] The computer-readable storage medium may also store at least one computer executable program, such as a computer-readable instruction. The computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The computer-readable storage medium may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device runs the computer-readable instructions stored on the computer-readable storage medium, the various methods described above may be performed.

[0117] In addition, the computer device may also include (but not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.), etc.

[0118] The processor may communicate with a communication interface of an external device via an I / O bus via a wired or wireless network.

[0119] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product / computer program product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0120] In the embodiments provided in the present application, it should be understood that the disclosed systems and methods can also be implemented in other ways. The system embodiments described above are merely schematic, for example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the above-mentioned module, a program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0121] It should be noted that, in this application, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element limited by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0122] Although the implementation methods disclosed in this application are as above, the above contents are only the implementation methods adopted for facilitating the understanding of this application, and are not intended to limit this application. Any technician in the technical field to which this application belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in this application, but the scope of patent protection of this application shall still be based on the scope defined in the attached claims.

Claims

1. A train heating and temperature control method, characterized in that: The method comprises: Acquire historical operation data of the train, and construct a physical model of the train photovoltaic components according to the historical operation data; Generate a temperature electrical signal of a preset measuring point according to the photovoltaic module physical model, and convert the temperature electrical signal into signal data to obtain temperature data; Generate temperature control data corresponding to the preset measuring point according to the temperature data; A corresponding heating method is generated according to the temperature control data, and the train is heated according to the heating method.

2. A train heating and temperature control method according to claim 1, characterized in that: The step of constructing a train photovoltaic component physical model according to the historical operation data includes: Determine the train photovoltaic component physical model nodes and the connection relationship between the train photovoltaic component physical model nodes according to the historical operation data; Extracting node code components corresponding to the physical model nodes of the train photovoltaic components from a pre-built database; The node code components are spliced ​​according to the connection relationship to obtain a physical model of the train photovoltaic component.

3. A train heating and temperature control method according to claim 1, characterized in that: The step of converting the temperature electrical signal into signal data to obtain temperature data comprises: Filtering the temperature electrical signal to obtain an electrical signal to be converted; Performing digital signal conversion on the electrical signal to be converted to obtain a target digital signal; The target digital signal is converted into a temperature value according to a preset temperature conversion algorithm to obtain temperature data.

4. A train heating and temperature control method according to claim 3, characterized in that: The step of converting the electrical signal to be converted into a digital signal to obtain a target digital signal comprises: Discretizing the electrical signal to be converted in the time domain to obtain a discrete signal value; quantizing the discrete signal value to obtain a quantized signal value; The quantized signal value is digitally encoded to obtain a target digital signal.

5. A train heating and temperature control method according to claim 1, characterized in that: The step of generating temperature control data corresponding to the preset measuring point according to the temperature data includes: Comparing the temperature data with a preset temperature threshold to obtain a comparison result; When the comparison result is that the temperature data is less than the temperature threshold, obtaining first temperature control data; When the comparison result is that the temperature data is greater than the temperature threshold, obtaining second temperature control data; When the comparison result is that the temperature data is equal to the temperature threshold, obtaining third temperature control data; The first temperature control data, the second temperature control data and the third temperature control data are collected to obtain temperature control data.

6. A train heating and temperature control method according to claim 1, characterized in that: Generating a corresponding heating method according to the temperature control data includes: Recording the temperature control data in a chart to obtain a temperature change trend line; Setting the train heating parameters according to the temperature change trend line; A heating method corresponding to the temperature control data is generated according to the heating parameters.

7. A train heating and temperature control device, characterized in that: The device comprises: A model building module, used to obtain historical operation data of the train and build a physical model of the train photovoltaic components according to the historical operation data; A signal conversion module, used to generate a temperature electrical signal of a preset measuring point according to the photovoltaic module physical model, and perform signal data conversion on the temperature electrical signal to obtain temperature data; A data generation module, used to generate temperature control data corresponding to the preset measuring point according to the temperature data; The train heating module is used to generate a corresponding heating method according to the temperature control data, and heat the train according to the heating method.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images