Evaluation method and device for temperature field of underground pipeline gallery

Abstract

The present invention provides a method and device for evaluating the temperature field of an underground pipeline corridor, relating to the fields of fire detection and artificial intelligence technology. The evaluation method comprises: determining the fire source parameters and pipeline parameters corresponding to the underground pipeline corridor based on the fire source value interval corresponding to the reference fire source information of the existing pipeline corridor, the pipeline value interval corresponding to the reference pipeline information, and the pipeline corridor information of the underground pipeline corridor; combining at least one parameter among the power parameter, heat release rate, spatial parameter, plane parameter, cross-sectional parameter, and size parameter as a variable and the remaining parameters as non-variables to obtain multiple combined information; processing the multiple combined information to obtain the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics of the underground pipeline corridor; inputting the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics into an evaluation model, and outputting the temperature field evaluation result corresponding to the target pipeline corridor. This method can improve the flexibility and accuracy of underground pipeline corridor temperature field evaluation.

Description

Technical Field

[0001] The present invention relates to the fields of fire detection and artificial intelligence technology, and more particularly to a method and device for evaluating the temperature field of an underground pipe gallery. Background Art

[0002] Urban underground utility corridors typically have complex structures, narrow and complex spaces. When a fire breaks out, the risk spreads quickly, access is restricted, and rescue efforts are long, making timely responses difficult. Related technologies for temperature detection and prediction in urban underground utility corridors primarily include distributed wireless sensors and infrared thermal imaging detection, fire smoke trace inversion calculation methods, and fire temperature prediction using machine learning-based prediction models. These technologies provide a certain level of support for temperature detection and fire prediction in underground utility corridors.

[0003] However, wireless sensors and infrared thermal imaging technologies are prone to wireless signal interruption in areas with dense and complex pipeline structures, making it difficult to conduct comprehensive inspections of underground pipeline corridors. The inversion method is a post-analysis method, which cannot meet the needs of real-time prediction and advance warning. Traditional machine learning model predictions suffer from a lack of historical data on underground pipeline corridor fires, resulting in prediction results that are difficult to meet actual prediction accuracy requirements. Summary of the Invention

[0004] In view of this, the present invention provides a method, device, electronic equipment, medium and program product for evaluating the temperature field of an underground pipeline gallery.

[0005] According to a first aspect of the present invention, a method for evaluating the temperature field of an underground pipeline corridor is provided, comprising: determining the fire source parameters and pipeline parameters corresponding to the underground pipeline corridor based on a fire source numerical interval corresponding to reference fire source information of an existing pipeline corridor, a pipeline numerical interval corresponding to reference pipeline information, and the pipeline corridor information of the underground pipeline corridor, respectively, wherein the fire source parameters include at least one of a power parameter, a heat release rate, and a spatial parameter, and the pipeline parameters include at least one of a plane parameter, a cross-sectional parameter, and a size parameter; combining at least one of the power parameter, the heat release rate, the spatial parameter, the plane parameter, the cross-sectional parameter, and the size parameter as a variable and the remaining parameters as non-variables to obtain a plurality of combination information; processing the plurality of combination information to obtain the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics of the underground pipeline corridor; inputting the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics into an evaluation model, and outputting a temperature field evaluation result corresponding to a target pipeline corridor, wherein the target pipeline corridor is a pipeline corridor in an abnormal state in the underground pipeline corridor.

[0006] The second aspect of the present invention provides an evaluation device for the temperature field of an underground pipeline corridor, comprising: a parameter determination module, for determining the fire source parameters and pipeline parameters corresponding to the underground pipeline corridor based on the fire source numerical interval corresponding to the reference fire source information of the existing pipeline corridor, the pipeline numerical interval corresponding to the reference pipeline information, and the pipeline corridor information of the underground pipeline corridor, wherein the fire source parameters include at least one of the power parameter, the heat release rate, and the spatial parameter, and the pipeline parameters include at least one of the plane parameter, the cross-sectional parameter, and the size parameter; a combination module, for combining at least one of the power parameter, the heat release rate, the spatial parameter, the plane parameter, the cross-sectional parameter, and the size parameter as a variable and the remaining parameters as non-variables to obtain multiple combination information; an information processing module, for processing the multiple combination information to obtain the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics of the underground pipeline corridor; a result output module, for inputting the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics into the evaluation model, and outputting the temperature field evaluation result corresponding to the target pipeline corridor, wherein the target pipeline corridor is a pipeline corridor in an abnormal state in the underground pipeline corridor.

[0007] A third aspect of the present invention provides an electronic device, comprising: one or more processors; a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0008] The fourth aspect of the present invention further provides a computer-readable storage medium having a computer program or instructions stored thereon, which implements the steps of the above method when the computer program or instructions are executed by a processor.

[0009] The fifth aspect of the present invention further provides a computer program product, comprising a computer program or instructions, which implement the steps of the above method when executed by a processor.

[0010] According to an embodiment of the present invention, by introducing reasonable fire source numerical intervals and pipeline numerical intervals combined with pipeline corridor information, fire source parameters and pipeline parameters that are more in line with the underground pipeline corridor fire scene can be obtained, so that power parameters, heat release rate, spatial parameters, plane parameters, cross-sectional parameters and size parameters are flexibly combined based on variables and non-variables to obtain multiple combined information, thereby avoiding the situation where the prediction results of the underground pipeline corridor fire scene deviate greatly from the actual situation due to insufficient basic data, providing more comprehensive data support for the evaluation of the underground pipeline corridor temperature field, and thus improving the data quality of the evaluation model input data, so that the output temperature field evaluation results are closer to the actual fire scene, meeting the needs of advance warning and comprehensive detection of the underground pipeline corridor temperature field. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0012] Figure 1 A diagram illustrating an application scenario of an underground pipe gallery temperature field evaluation method, apparatus, device, medium, and program product according to an embodiment of the present invention is shown.

[0013] Figure 2 A flow chart of a method for evaluating the temperature field of an underground pipeline gallery according to an embodiment of the present invention is shown.

[0014] Figure 3 An exemplary schematic diagram of a process for generating abnormal temperature alarm information according to an embodiment of the present invention is shown.

[0015] Figure 4 An exemplary schematic diagram of a process for obtaining a temperature field evaluation result according to an embodiment of the present invention is shown.

[0016] Figure 5 An exemplary schematic diagram of a process for obtaining and determining fire source spatial information according to an embodiment of the present invention is shown.

[0017] Figure 6A The temperature cloud map data of the XY plane and XZ plane of the straight underground pipeline gallery according to an embodiment of the present invention are shown.

[0018] Figure 6B The temperature cloud map data of the XY plane and the XZ plane of the cross-shaped underground pipeline gallery according to an embodiment of the present invention are shown.

[0019] Figure 6C The temperature cloud map data of the XY plane and the XZ plane of the T-shaped underground pipeline gallery according to an embodiment of the present invention are shown.

[0020] Figure 7 A flow chart of obtaining a mapping relationship between internal temperature information and surface temperature information of a cable pipeline according to an embodiment of the present invention is shown.

[0021] Figure 8 A structural block diagram of an evaluation device for an underground pipe gallery temperature field according to an embodiment of the present invention is shown.

[0022] Figure 9 A block diagram of an electronic device suitable for implementing a method for evaluating the temperature field of an underground pipe gallery according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0023] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concept of the present invention.

[0024] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the presence of the features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.

[0025] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0026] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0027] Among the related technologies, for the detection and prediction of urban underground pipeline corridor fires, wireless sensors and infrared thermal imaging technologies are prone to wireless signal interruption in areas with dense and complex pipeline structures, making it difficult to conduct comprehensive detection of underground pipeline corridors; the inversion method is a post-analysis, which is difficult to meet the needs of real-time prediction and advance warning; traditional machine learning model predictions have the problem of lack of historical data on underground pipeline corridor fires, resulting in prediction results that are difficult to meet the actual prediction accuracy requirements.

[0028] In view of this, an embodiment of the present invention provides a method, device, electronic device, medium, and program product for evaluating the temperature field of an underground pipeline corridor. The method includes: determining fire source parameters and pipeline parameters corresponding to the underground pipeline corridor based on a fire source value interval corresponding to reference fire source information of an existing pipeline corridor, a pipeline value interval corresponding to reference pipeline information, and the pipeline corridor information of the underground pipeline corridor, wherein the fire source parameter includes at least one of a power parameter, a heat release rate, and a spatial parameter, and the pipeline parameter includes at least one of a plane parameter, a cross-sectional parameter, and a size parameter; combining at least one of the power parameter, the heat release rate, the spatial parameter, the plane parameter, the cross-sectional parameter, and the size parameter as a variable and the remaining parameters as non-variables to obtain multiple combination information; processing the multiple combination information to obtain temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics of the underground pipeline corridor; inputting the temperature characteristics, temperature change characteristics, and pipeline corridor space characteristics into an evaluation model, and outputting a temperature field evaluation result corresponding to a target pipeline corridor, wherein the target pipeline corridor is a pipeline corridor in an abnormal state in the underground pipeline corridor.

[0029] According to an embodiment of the present invention, by introducing reasonable fire source numerical intervals and pipeline numerical intervals combined with pipeline corridor information, fire source parameters and pipeline parameters that are more in line with the underground pipeline corridor fire scene can be obtained, so that power parameters, heat release rate, spatial parameters, plane parameters, cross-sectional parameters and size parameters are flexibly combined based on variables and non-variables to obtain multiple combined information, thereby avoiding the situation where the prediction results of the underground pipeline corridor fire scene deviate greatly from the actual situation due to insufficient basic data, providing more comprehensive data support for the evaluation of the underground pipeline corridor temperature field, and thus improving the data quality of the evaluation model input data, so that the output temperature field evaluation results are closer to the actual fire scene, meeting the needs of advance warning and comprehensive detection of the underground pipeline corridor temperature field.

[0030] Figure 1 A diagram showing an application scenario of a method for evaluating the temperature field of an underground pipeline gallery according to an embodiment of the present invention is shown.

[0031] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a data acquisition device 106. The network 104 is used as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables.

[0032] Data acquisition equipment 106 may include various types of sensing devices and pipe gallery information collection equipment. For example, sensing equipment may be distributed fiber optic sensors for detecting the surface temperature of cables and pipes and the temperature of pipe galleries. Pipe gallery information collection equipment may include laser scanners, sonar scanners, etc., for collecting information about underground pipe galleries. Data acquisition equipment 106 may communicate with server 105 via network 104 to transmit acquired data to server 105 for processing.

[0033] A user may use a first terminal device 101, a second terminal device 102, or a third terminal device 103 to interact with a server 105 via a network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, or the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (for example only).

[0034] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0035] The server 105 may be a server that provides various services, such as a background management server (for example only) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process received data such as user requests, and feed back processing results (e.g., web pages, information, or data obtained or generated based on user requests) to the terminal devices.

[0036] It should be noted that the evaluation method for the temperature field of the underground pipe gallery provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the evaluation device for the temperature field of the underground pipe gallery provided in the embodiment of the present invention can generally be set in the server 105. The evaluation method for the temperature field of the underground pipe gallery provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the evaluation device for the temperature field of the underground pipe gallery provided in the embodiment of the present invention can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0037] It should be understood that Figure 1The number of terminal devices, networks and servers in the embodiment is merely illustrative. Any number of terminal devices, networks and servers may be provided as required.

[0038] The following will be based on Figure 1 The scene described by Figures 2 to 5 The evaluation method of the underground pipe gallery temperature field of the embodiment is described in detail.

[0039] Figure 2 A flow chart of a method for evaluating the temperature field of an underground pipeline gallery according to an embodiment of the present invention is shown.

[0040] like Figure 2 As shown, the evaluation method of the underground pipeline gallery temperature field of this embodiment includes operations S210 to S240.

[0041] In operation S210, based on the fire source value interval corresponding to the reference fire source information of the existing pipeline corridor, the pipeline value interval corresponding to the reference pipeline information, and the pipeline corridor information of the underground pipeline corridor, the fire source parameters and pipeline parameters corresponding to the underground pipeline corridor are respectively determined.

[0042] According to an embodiment of the present invention, the fire source parameter includes at least one of a power parameter, a heat release rate, and a space parameter, and the pipeline parameter includes at least one of a plane parameter, a cross-section parameter, and a size parameter.

[0043] In an embodiment of the present invention, the reference fire source information of an existing pipe gallery may be information on relevant data and conditions about fire sources that have been previously collected in the existing pipe gallery. This information may be fire source-related data from actual fire cases, or may be fire source-related data obtained based on experiments, simulations, and the like. Fire source-related data may include power parameters, heat release rates, and spatial parameters of the fire source. The fire source numerical range may be understood as a reasonable range of values for the power parameters, heat release rates, and spatial parameter information of different fire sources. The reference pipeline information is information possessed by pipelines existing in the existing pipe gallery, including the plane parameters, cross-sectional parameters, and size parameters of the pipelines. The pipeline numerical range may be understood as a reasonable range of values for the plane parameters, cross-sectional parameters, and size parameters of the pipelines.

[0044] In embodiments of the present invention, power parameters can represent the amount of heat released per unit time by a fire source. Heat release rate can be used to measure the intensity of heat release over time and may include a maximum heat release rate. Spatial parameters can represent the three-dimensional location of the fire source within the building's spatial information. Planar parameters can include the planar dimensions and shape of pipelines within the entire building. Cross-sectional parameters can represent the cross-sectional dimensions and shapes of different pipelines.

[0045] In an embodiment of the present invention, the fire source value interval corresponding to the reference fire source information of the existing pipeline corridor and the pipeline value interval corresponding to the reference pipeline information are used as references, and the pipeline corridor information of the underground pipeline corridor is used to determine the fire source value and pipeline value corresponding to the underground pipeline corridor within the fire source value interval and the pipeline value interval, that is, the fire source parameters and pipeline parameters.

[0046] In operation S220 , at least one parameter among the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the size parameter is used as a variable, and the remaining parameters are used as non-variables to be combined to obtain a plurality of combination information.

[0047] For example, the spatial parameters can be used as variables, and the power parameters, heat release rate, plane parameters, cross-sectional parameters, and size parameters can be used as invariants to obtain multiple combinations of information. Alternatively, the cross-sectional parameters and size parameters can be used as variables, and the power parameters, heat release rate, spatial parameters, and plane parameters can be used as invariants to obtain multiple combinations of information.

[0048] In operation S230, the plurality of combined information is processed to obtain temperature characteristics, temperature change characteristics, and space characteristics of the underground pipe gallery.

[0049] In embodiments of the present invention, temperature characteristics can characterize the temperature distribution, peak temperature, and temperature gradient of an underground utility corridor. Temperature variation characteristics can characterize the temporal changes in temperature at various points in the underground utility corridor, thereby determining whether an anomaly has occurred. The utility corridor spatial characteristics reflect the spatial coordinates of the underground utility corridor, allowing precise location of the fire source in the event of an anomaly.

[0050] In operation S240 , the temperature characteristics, temperature change characteristics, and tunnel space characteristics are input into the evaluation model, and a temperature field evaluation result corresponding to the target tunnel is output.

[0051] According to an embodiment of the present invention, the target utility tunnel is an underground utility tunnel that is in an abnormal state.

[0052] In embodiments of the present invention, a pipe gallery in an abnormal state may be understood as a pipe gallery experiencing abnormal temperature. For example, excessively high temperatures at a location or area in the pipe gallery may indicate a fire hazard in that area. The evaluation model may be a regression prediction model, such as a support vector regression model.

[0053] For example, temperature features, temperature change features and corridor space features are preprocessed. The preprocessing may include: taking the coordinate information in the corridor space features as independent variables, considering their role in the temperature field change, and for the temperature features and temperature change features, combining the weights and bias parameters learned during the training process to evaluate their influence on the temperature field and assign corresponding weights; thereby, the preprocessed features can be mapped to a high-dimensional feature space through the Gaussian radial basis kernel inside the model, and by finding an optimal hyperplane, the predicted values within a certain range near the plane can better approximate the actual temperature field values; and then, according to the position of the input features in the high-dimensional space and the decision rule of the hyperplane, the corresponding three-dimensional temperature field evaluation results are output.

[0054] According to an embodiment of the present invention, by introducing reasonable fire source numerical intervals and pipeline numerical intervals combined with pipeline corridor information, fire source parameters and pipeline parameters that are more in line with the underground pipeline corridor fire scene can be obtained, so that power parameters, heat release rate, spatial parameters, plane parameters, cross-sectional parameters and size parameters are flexibly combined based on variables and non-variables to obtain multiple combined information, thereby avoiding the situation where the prediction results of the underground pipeline corridor fire scene deviate greatly from the actual situation due to insufficient basic data, providing more comprehensive data support for the evaluation of the underground pipeline corridor temperature field, and thus improving the data quality of the evaluation model input data, so that the output temperature field evaluation results are closer to the actual fire scene, meeting the needs of advance warning and comprehensive detection of the underground pipeline corridor temperature field.

[0055] According to an embodiment of the present invention, the pipe gallery information includes pipeline information, which includes cable pipeline information, pipeline density information, and construction period information. The method further includes: determining device location information based on the cable pipeline information, pipeline density information, and construction period information; and using a device at the device location information to detect surface temperature information corresponding to the cable pipeline surface and ambient temperature information corresponding to the spatial environment, and storing the information in an information set.

[0056] In an embodiment of the present invention, the cable pipeline information includes the length information, diameter information, thickness information, and material information of the cable pipeline in the underground pipeline corridor. The pipeline density information can characterize the laying density of different pipelines in the underground pipeline corridor. The construction period information can characterize the laying construction period of the cable pipeline in the underground pipeline corridor at the current time. It can be understood that different pipelines in the underground pipeline corridor can include multiple construction periods according to the actual needs of the project, and pipelines laid in different construction periods can have a corresponding impact on the pipeline density information of the underground pipeline corridor. The equipment location information can indicate the location where the data acquisition equipment is set.

[0057] In an embodiment of the present invention, the cable pipeline is laid on the inner wall around the underground corridor, and extends through the inner wall of the underground corridor in parallel and in the same direction as the main structure of the underground corridor. According to the cable pipeline information, pipeline density information and construction period information, it is determined that distributed optical fiber sensors are laid at both ends and the middle position of the ceiling in the underground corridor, at the height of the center line of the walls on both sides, and on the surface of each cable pipeline along the length direction. For example, optical fiber sensors are set corresponding to 5 cable pipelines, and the laying spacing is consistent with the spatial resolution of the distributed optical fiber sensors. The ambient temperature information corresponding to the spatial environment is collected by using data acquisition equipment at both ends and the middle position of the ceiling and at the height of the center line of the walls on both sides, and the surface temperature information corresponding to the surface of the cable pipeline is collected by using data acquisition equipment laid along the length direction of each cable pipeline surface.

[0058] According to an embodiment of the present invention, determining the equipment location information based on cable pipeline information, pipeline density information and construction period information can make the location and laying density of data acquisition equipment more reasonable, reflect the actual situation of the underground pipeline corridor, and thus be able to more accurately and comprehensively collect temperature data in the underground pipeline corridor, thereby improving the accuracy and comprehensiveness of the evaluation.

[0059] According to an embodiment of the present invention, based on the previous temperature value collected in the previous sampling period and the current temperature value collected in the current sampling period and the mapping relationship, the temperature change rate inside the cable pipeline at the current moment is determined; when the temperature change rate is greater than or equal to the change threshold, a temperature anomaly alarm information is generated.

[0060] In an embodiment of the present invention, the previous temperature value inside the pipeline is determined based on the previous temperature value collected in the previous sampling period and the mapping relationship; the current temperature value inside the pipeline is determined based on the current temperature value collected in the current sampling period and the mapping relationship; the temperature change rate inside the cable pipeline at the current moment is determined based on the previous temperature value inside the pipeline and the current temperature value inside the pipeline.

[0061] In an embodiment of the present invention, the information set stores the previous temperature value collected in the previous sampling period and the current temperature value collected in the current sampling period. Based on the mapping relationship between the temperature inside the cable pipeline and the surface temperature of the cable pipeline, the previous temperature value and the current temperature value are converted into the previous temperature value inside the cable pipeline and the current temperature value inside the cable pipeline, and the temperature change rate is calculated.

[0062] In an embodiment of the present invention, the temperature change rate may be determined by calculating the difference between the current temperature value inside the cable pipeline and the previous temperature value inside the cable pipeline, and the ratio of the difference to the current temperature value inside the cable pipeline.

[0063] For example, the change threshold can be set to 0.3°C / s, and the sampling period can be set to 5s. The settings of the change threshold and the sampling period can also be adjusted according to actual conditions.

[0064] According to an embodiment of the present invention, unlike other types of buildings (such as the dense flow of people in public buildings), considering that underground pipeline corridors are relatively closed and basically have no flow of people, a high-frequency sampling period can be set to perform high-frequency temperature value sampling on the underground pipeline corridor, and the temperature field distribution of the underground pipeline corridor can be detected in real time, so that the temperature field distribution of any plane or area can be inferred, thereby improving the accuracy and comprehensiveness of the temperature field evaluation of the underground pipeline corridor.

[0065] Figure 3 An exemplary schematic diagram of a process for generating abnormal temperature warning information according to an embodiment of the present invention is shown.

[0066] like Figure 3 As shown, underground pipeline corridor information 301 is obtained, equipment location information 302 is determined based on cable pipeline information, pipeline density information, and construction period information, and surface temperature information and ambient temperature information corresponding to the cable pipeline surface are collected by temperature collection equipment and stored in information set 303. Using the previous temperature value collected in the previous sampling cycle and the current temperature value collected in the current sampling cycle in information set 303, and the mapping relationship 304 between the internal pipe temperature information and the surface temperature information, the rate of change inside the cable pipeline is determined. If the temperature change rate is greater than or equal to the change threshold, temperature anomaly alarm information 305 is generated.

[0067] According to an embodiment of the present invention, the temperature change trend of the underground pipeline corridor and the cable pipeline can be obtained in real time based on the temperature change rate and change threshold inside the cable pipeline at the current moment. By comprehensively considering the speed of temperature change, the temperature anomaly can be judged more accurately, effectively reducing the probability of misjudgment and missed judgment.

[0068] According to an embodiment of the present invention, the pipeline corridor information also includes spatial information and temperature information, and the spatial information includes building spatial information corresponding to the underground pipeline corridor. Based on the fire source value interval corresponding to the reference fire source information of the existing pipeline corridor, the pipeline value interval corresponding to the reference pipeline information, and the pipeline corridor information of the underground pipeline corridor, the fire source parameters and pipeline parameters corresponding to the underground pipeline corridor are respectively determined, including: within the fire source value interval, the spatial information and temperature information are updated to obtain power parameters, heat release rate, and spatial parameters. The spatial parameters are the three-dimensional position information of the fire source in the building spatial information at the current moment; within the pipeline value interval, the spatial information and pipeline information are updated to obtain plane parameters, cross-sectional parameters, and size parameters.

[0069] In an embodiment of the present invention, temperature information represents heat source parameters in an underground pipe gallery. Heat source parameters include the ambient temperature parameters of the underground pipe gallery and the temperature parameters of the cable pipeline. Power parameters represent the power of the fire source, reflecting the speed at which the fire source releases energy. Heat release rate represents the maximum heat release rate of the fire source, reflecting the maximum amount of heat released by the fire source per unit time. Plane parameters can represent the planar layout information of the pipeline. Cross-sectional parameters represent the cross-sectional shape information of the cable pipeline.

[0070] In an embodiment of the present invention, spatial information can represent building space information and corridor space information corresponding to an underground pipe corridor. Building space information can represent building plane information and building size information. Corridor space information can include the plane information of the underground pipe corridor, the corridor size information, and the relative position information of the underground pipe corridor in the building. For example, the plane information corresponding to the underground pipe corridor can be a straight-line, cross-shaped, and T-shaped underground pipe corridor. For example, the fire source value interval can include a power parameter value interval of 0.1-5mW, a heat release rate value interval of 0.5-10mW / min, and a space parameter value interval of 5-30m; the space information can be 2-15m, and the temperature information can be a power of 0.3-8mW and a heat release rate of 1.5-12mW / min. Within the fire source value interval, the spatial information and temperature information are updated to obtain a power parameter of 0.1-8mW, a heat release rate of 0.3-10mW, and a space parameter of 2-30m.

[0071] For example, the pipeline value interval may include the plane parameter value interval 20-60m 2 The value range of cross-section parameters is 2-3m in height and 3-6m in width, and the value range of size parameters is 2-50m; the spatial information can be 2-15m, and the pipeline information can be the plane parameter 10-30m. 2 , section parameters height 1.5-3m, width 2-4m, size parameters 2-30m. Within the fire source value range, update the space information and pipeline information to obtain the plane parameters 10-60m 2 , section parameters height 1.5-3m, width 2-6m and size parameters 2-50m.

[0072] For example, for tunnel spatial information, a three-dimensional spatial coordinate system is established at a 1.7-meter-high horizontal plane, with the center of the underground tunnel entrance as the origin, the X-axis extending along the tunnel, the Y-axis perpendicular to the long axis and parallel to the ground, and the Z-axis perpendicular to the ground. Spatial parameters can represent the coordinates of the fire source in this three-dimensional spatial coordinate system.

[0073] According to embodiments of the present invention, by flexibly combining power parameters, heat release rate, and spatial parameters, the complex conditions of underground tunnel fires can be more meticulously described. For example, different combinations of power parameters can reflect the varying intensity of a fire at different stages, while the combination of heat release rate and spatial parameters can reveal the heat release at different locations within the tunnel. This rich combination of information enables the model to more accurately capture the true state of a fire, thereby reducing prediction bias caused by insufficient basic data.

[0074] Furthermore, while related technologies rely on relatively single data sets when predicting fire scene temperatures, the present invention flexibly combines different parameters to mitigate the impact of single parameter uncertainty when the underlying data for certain key parameters is missing or inaccurate. For example, even if heat release rate data is inaccurate, combining it with other relevant parameters, such as power and spatial parameters, can still provide relatively reliable predictions, improving both accuracy and reliability.

[0075] According to an embodiment of the present invention, multiple combined information are processed to obtain temperature characteristics, temperature change characteristics and corridor space characteristics of the underground corridor, including: inputting multiple combined information into a simulation model to output temperature characteristics, temperature change characteristics and corridor space characteristics; or, based on the target space information, target material information, target fire source point information, target heat release rate and preset grid parameters in the combined information, obtaining temperature characteristics, temperature change characteristics and corridor space characteristics.

[0076] In an embodiment of the present invention, the simulation model may be a simulation model. Based on multiple combination information, the simulation model is used to perform simulation. The fire growth rate heat release model in the simulation is shown in the following formula (1):

[0077] (1)

[0078] Where Q is the maximum heat release rate, t is the time, and a is the fire growth coefficient.

[0079] In an embodiment of the present invention, the fire growth coefficient a is, for example, 0.0469 kW / s².

[0080] For example, the placement and spacing of distributed fiber optic sensors in the simulation model are consistent with their actual placement and spatial resolution. Temperature monitoring points are also placed at 0.5m intervals throughout the underground tunnel. Because underground tunnels are enclosed and have a low density of people, this 0.5m-interval arrangement allows for accurate assessment of the tunnel's three-dimensional temperature field, enabling timely and accurate protection and rescue efforts in the event of an anomaly.

[0081] Figure 4An exemplary schematic diagram of a process for obtaining a temperature field evaluation result according to an embodiment of the present invention is shown.

[0082] like Figure 4 As shown, pipeline parameters 403 and fire source parameters 404 are determined based on fire source value interval 401, pipeline value interval 402, and pipeline corridor information 301. Multiple combinations of information 405 are obtained based on pipeline parameters 403 and fire source parameters 404. Multiple combinations of information 405 are input into the simulation model, which outputs temperature characteristics 406, temperature change characteristics 407, and pipeline corridor spatial characteristics 408. Temperature characteristics 406, temperature change characteristics 407, and pipeline corridor spatial characteristics 408 are then input into the evaluation model, which outputs temperature field evaluation results 409 corresponding to the target pipeline corridor.

[0083] In an embodiment of the present invention, the target spatial information can represent the spatial information in a fire state, the target material information can represent the material properties of the pipeline in a fire state, the target fire source point information can represent the location information of the fire source in a fire state, and the target heat release rate can represent the maximum heat release rate of the fire source in a fire state.

[0084] In an embodiment of the present invention, the underground tunnel space in the simulation model is divided into computational grids based on a grid partitioning algorithm, such as the Delaunay triangulation algorithm, the advancing frontier method, the covering method, etc. Preset grid parameters represent grid properties, such as grid density, grid cell type, and other properties.

[0085] In an embodiment of the present invention, in the event of a fire, temperature characteristics, temperature change characteristics and corridor space characteristics can also be obtained based on the ventilation system parameters in the underground corridor, the material properties of the cable pipelines, the location information of the fire source, the maximum heat release rate of the fire source and the grid properties.

[0086] According to an embodiment of the present invention, by inputting multiple combinations of information into the simulation model, the impact of various factors on the temperature characteristics, temperature change characteristics, and spatial characteristics of the underground pipeline corridor can be comprehensively considered, which can fully reflect the actual situation of the underground pipeline corridor and improve the accuracy and reliability of the simulation. By determining the temperature characteristics, temperature change characteristics, and spatial characteristics of the underground pipeline corridor through information such as target space information, target material information, target fire source location information, target heat release rate, and preset grid parameters, it is possible to more accurately simulate the temperature changes and heat propagation during a fire, improve the speed and efficiency of emergency rescue, and reduce the losses caused by fire.

[0087] According to an embodiment of the present invention, the method further includes: obtaining fire source space information based on building space information and fire source type information, pipeline corridor space characteristics, heat release rate, collection time information and target temperature information corresponding to the collection time information obtained from the information set; and using the fire source space information to determine the abnormality handling result corresponding to the underground pipeline corridor under abnormal circumstances.

[0088] Fires can be divided into four types based on relevant specifications and standards: slow, medium, fast, and ultra-fast fires. In the embodiment of the present invention, the underground tunnel is large in scale and contains numerous and dispersed combustible materials. Therefore, the present invention constructs a fast fire scenario, i.e., the fire source type information is a fast fire type.

[0089] In an embodiment of the present invention, a prediction model can be used to process the building space information and fire source type information, pipeline corridor space characteristics, heat release rate, collection time information and target temperature information corresponding to the collection time information obtained from the information set, and output the fire source space information.

[0090] In an embodiment of the present invention, the prediction model may be, for example, a deep learning prediction model. The deep learning prediction model is established based on a long short-term memory network and convolutional neural network integration algorithm (CNN-LSTM). The prediction model may include an input layer, a convolutional neural network layer, a long short-term memory network layer, a fully connected layer, and an output layer.

[0091] For example, using a trained prediction model to predict fire source spatial information can include: inputting building space information, fire source type information, pipe corridor spatial characteristics, heat release rate, collection time information, and target temperature information through the input layer, and then using the convolutional neural network layer to extract features from this input data. The convolution kernel slides across various locations in the spatial data and performs convolution operations with the data in the local area, thereby capturing local feature patterns in the space, such as wall edges in the building structure, the connection between rooms and corridors, and the relative position relationship between equipment and corridors inside the pipe corridor. As the convolution layer deepens, these local features are gradually combined into higher-level, more semantically meaningful spatial feature representations, such as the spatial connectivity of different areas and the degree of spatial enclosure.

[0092] To meet the input requirements of the LSTM layer, the data can be processed through several convolutional and pooling layers to reduce the spatial dimensionality of features while retaining important feature information. This data is then organized into a data format suitable for input to the LSTM layer. The corresponding memory cells in the LSTM layer can be updated sequentially based on the input sequence of the time series data. At each time step, the LSTM layer combines the current input information such as the heat release rate and target temperature with the previous state of the memory cell to update the cell state and hidden state. The hidden state is used to output information for the next calculation at each time step.

[0093] In one feasible embodiment, fire source type information can be used as an additional input feature to the LSTM layer at each time step or initial moment, helping the model to consider the differential impact of different fire source types on the fire source's spatial information during inference. In this way, the LSTM layer can comprehensively consider factors such as heat release and temperature change dynamics over time, as well as spatial characteristics and fire source type, gradually building an understanding of the spatial positional evolution of the fire source.

[0094] Finally, the hidden state processed by the LSTM layer is input to the output layer. The output layer maps the hidden state to the dimensions of the fire source's spatial information through a fully connected layer (dense layer). For example, the output could be a three-dimensional vector representing the coordinates of the fire source's location (corresponding to the location within the building or tunnel), or a probability distribution of the fire source's presence at each possible location in the space (processed using an activation function so that the sum of the output probabilities is 1). Based on actual needs and model design, the fire source's spatial information can be obtained as an inference result.

[0095] For example, a prediction model can be trained as follows: each database is divided into 30 samples of length using a window scanning technique, and a deep learning prediction model is trained with a sampling period of 5 seconds to obtain the trained prediction model. This model is based on three typical underground tunnel spatial models: straight, cross, and T-shaped. Each database is divided into 30 samples of length using a window scanning technique, and a deep learning prediction model is trained with a sampling period of 5 seconds. The training data input dimensions include the 3D coordinate matrix of building spatial information, the category encoding vector of fire source type information, the geometric parameters of tunnel spatial characteristics, time series data of heat release rate, timestamp-coded acquisition time information, and the corresponding target temperature information. The output dimension is the true 3D coordinate value of the fire source, i.e., the fire source spatial information. The convolutional neural network module uses a 3×3 convolution kernel, a ReLU activation function, and a 2×2 max pooling layer to extract spatial features. A long short-term memory network layer captures temporal correlations, and a fully connected layer outputs the predicted fire source spatial coordinates. The model accuracy is evaluated using mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The mean absolute error, mean absolute percentage error, and root mean square error were calculated based on the number of samples, the true values of the samples, and the predicted values. The accuracy rates of the fire source spatial information obtained by the prediction model were 0.947, 0.902, and 0.919, respectively.

[0096] It should be noted that the specific steps of training can refer to the steps of predicting the spatial information of the fire source during the application process, and will not be described in detail.

[0097] According to an embodiment of the present invention, a convolutional neural network can effectively extract local and global spatial features from building space information and tunnel space features, such as the spatial layout and relative positional relationships of walls, pipes, equipment, etc. Long short-term memory networks are suitable for processing time series data and can capture long-term dependencies in heat release rate, acquisition time information, and target temperature information. By combining the two, the model can simultaneously take into account the spatial and temporal features in the fire source location prediction task, thereby more accurately locating the fire source. In particular, for the complex building structures, tunnel layouts, and fire scenes of underground tunnel spaces, the adaptive learning of spatial features by convolutional neural networks and the dynamic capture of time series features by long short-term memory networks can better adapt to changes in the underground tunnel environment and maintain stable prediction performance.

[0098] Figure 5 An exemplary schematic diagram of a process for determining fire source spatial information according to an embodiment of the present invention is shown.

[0099] like Figure 5As shown, fire source space information 504 can be output based on the building space information 501 and fire source type information 503, the corridor space characteristics 408, the heat release rate 502, the collection time information and the target temperature information corresponding to the collection time information obtained from the information set 303.

[0100] According to embodiments of the present invention, a fire source location algorithm based on multidimensional features is developed based on building spatial information, fire source type information, pipeline corridor spatial characteristics, heat release rate, collection time information, and target temperature information corresponding to the collection time information. The model is then evaluated using accuracy. This allows for precise fire source location, assisting in the development of fire accident response plans, optimizing resource allocation, and significantly improving fire response speed and the accuracy of evacuation decisions.

[0101] In an embodiment of the present invention, an evaluation model is used to evaluate the temperature field of an underground pipe gallery, output the temperature field evaluation results, and generate temperature cloud map data.

[0102] For example, let's take the center of the underground tunnel entrance as the origin on a 1.7m high horizontal plane, the X-axis along the extension direction of the underground tunnel, the Y-axis perpendicular to the long axis and parallel to the ground, and the Z-axis perpendicular to the ground to establish a three-dimensional space coordinate system.

[0103] Figure 6A The temperature cloud map data of the XY plane and XZ plane of the straight underground pipeline gallery according to an embodiment of the present invention are shown.

[0104] Figure 6B The temperature cloud map data of the XY plane and the XZ plane of the cross-shaped underground pipeline gallery according to an embodiment of the present invention are shown.

[0105] Figure 6C The temperature cloud map data of the XY plane and the XZ plane of the T-shaped underground pipeline gallery according to an embodiment of the present invention are shown.

[0106] like Figures 6A-6C As shown, at least one parameter among the power parameter, heat release rate, space parameter, plane parameter, cross-section parameter and size parameter is used as a variable, and the remaining parameters are combined as non-variables to obtain multiple combination information, and the temperature field evaluation result is obtained based on the multiple combination information. In the temperature cloud map data of the temperature field evaluation result, the brightness of the color reflects the high and low temperature. The darker the color, the higher the temperature, and the brighter the color, the lower the temperature. For example, the brighter area 601 reflects that the temperature field distribution in this area of the underground pipe corridor is uniform, and no fire source appears. The darker area 602 reflects that the temperature in this area of the underground pipe corridor is higher, and the brightness difference with the surrounding area is obvious, then the darker area 602 may have a fire source.

[0107] According to an embodiment of the present invention, the cable pipeline information includes material information and cable size information of the cable pipeline; the method also includes: processing the material information and cable size information based on a preset processing strategy to obtain a mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline.

[0108] In embodiments of the present invention, the cable pipeline material information represents the material and insulation material of the cable pipeline. For example, the insulation material may be polyvinyl chloride, epoxy resin, fiberglass, or the like. The cable size information represents the diameter and thickness of the cable pipeline. The mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline can be used to calculate the internal temperature information of the cable pipeline based on the surface temperature information of the cable pipeline.

[0109] In an embodiment of the present invention, a preset processing strategy is used to change parameters such as the cable pipeline material, cable pipeline diameter and thickness, and cable pipeline insulation material to obtain a mapping relationship between the internal temperature information and surface temperature information of the cable pipeline under different parameters.

[0110] According to embodiments of the present invention, heat transfer from a fire source requires a process, and there is a certain time delay in reflecting the internal temperature of a cable pipeline by collecting surface temperature information. By accurately mapping the internal and surface temperature information of a cable pipeline, a more accurate understanding of the temperature environment within the cable pipeline can be achieved, enabling a timely response when a fire occurs, and preventing the internal and external heat transfer processes from affecting rescue efficiency.

[0111] According to an embodiment of the present invention, the preset processing strategy includes a model simulation strategy and a sampling strategy based on fluid mechanics.

[0112] Figure 7 A flow chart of obtaining a mapping relationship between internal temperature information and surface temperature information of a cable pipeline according to an embodiment of the present invention is shown.

[0113] like Figure 7 As shown, the process of obtaining the mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline in this embodiment includes operations S710 to S720.

[0114] In operation S710 , material information and cable size information are processed based on a model simulation strategy to determine boundary condition information and initial condition information of the cable pipeline.

[0115] In an embodiment of the present invention, the boundary condition information of the cable pipeline represents the limitations and constraints on establishing the mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline, such as environmental boundary conditions such as air temperature and air velocity, and the cable pipeline's inherent boundary conditions such as the material and thickness of the cable pipeline's insulation layer. The initial condition information represents the state information of the cable pipeline itself and its surrounding environment at the beginning of the simulation, such as the initial surface temperature information of the cable pipeline.

[0116] In operation S720, boundary condition information, initial condition information, and combination parameters are sampled based on a sampling strategy and preset heat transfer rules to obtain a mapping relationship, wherein the combination parameters are parameters obtained by combining material information and cable size information, and the preset heat transfer rules include any one of heat transfer rules and convection heat transfer rules.

[0117] In an embodiment of the present invention, the fluid mechanics-based model simulation strategy may be a fluid mechanics simulation computing platform, and the sampling strategy may be Latin hypercube sampling. Latin hypercube sampling is a multidimensional stratified sampling technique that ensures uniform distribution and comprehensive coverage of samples in multidimensional space by evenly dividing intervals in each dimension and randomly selecting sample points.

[0118] In an embodiment of the present invention, the preset heat transfer rule may be a heat conduction rule, a heat convection rule, or the like.

[0119] In an embodiment of the present invention, based on material information and cable size information, a fluid mechanics simulation calculation platform is used to perform simulation calculations to determine the boundary condition information and initial surface temperature information of the cable pipeline. Based on the Latin hypercube sampling method and the heat conduction rule, the boundary condition information, initial condition information and combined parameters are sampled to obtain a mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline.

[0120] For example, the value ranges of each parameter can be extracted, such as cable diameter 0.1-0.5m, insulation layer thickness 5-20mm, air flow rate 0-5m / s, and initial surface temperature 10-50℃; each parameter dimension is divided into equal probability intervals, such as the insulation layer thickness 5-20mm is divided into 10 intervals: 5-6.5mm, 6.5-8mm, 8-9.5mm, 9.5-11mm...18.5-20mm; one random point is selected for each interval of each parameter, and the random points are randomly arranged to ensure that the selection of value intervals of different dimensions is not regularly correlated; the values corresponding to the random points are combined, and the model simulation strategy is used to execute the combined parameters to obtain the mapping relationship under different value states.

[0121] According to an embodiment of the present invention, determining the boundary condition information of the cable pipeline and sampling the boundary condition information can improve the accuracy of the mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline, reduce the errors caused by environmental, material and other factors in the process of confirming the mapping relationship, thereby accurately obtaining the internal temperature information of the cable pipeline and improving rescue efficiency and response speed.

[0122] According to an embodiment of the present invention, boundary condition information, initial condition information, and combination parameters are sampled based on a sampling strategy and preset heat transfer rules to obtain a mapping relationship, including: determining a sampling value range and a sampling period corresponding to each of the material information and the cable size information; determining, based on the sampling period and the sampling value range, a combination parameter corresponding to multiple sampling points in the cable pipeline; and determining a mapping relationship for the combination parameter based on the preset heat transfer rules, the boundary condition information, and the initial condition information.

[0123] In embodiments of the present invention, the sampling value ranges for material information and cable size information can be determined based on the pipeline value interval corresponding to the reference pipeline information. The sampling period for material information and cable size information can be set to 5 seconds, or adjusted based on actual conditions. Sampling points are distributed along the extension direction of the cable pipeline. Combination parameters are parameters corresponding to different combinations of material information and cable size information values.

[0124] In an embodiment of the present invention, the combined parameters corresponding to multiple sampling points in a cable pipeline are determined based on the sampling period and sampling value range. For example, the combined parameters corresponding to the first sampling point are polyvinyl chloride, and the cable pipeline dimensions are 100 mm in diameter and 2 mm in thickness. The combined parameters corresponding to the second sampling point are epoxy resin, and the cable pipeline dimensions are 90 mm in diameter and 2.5 mm in thickness. The mapping relationship corresponding to the combined parameters is determined based on preset heat transfer rules, boundary condition information, and initial condition information.

[0125] Based on the underground pipe gallery temperature field evaluation method, the present invention also provides an underground pipe gallery temperature field evaluation device. The device will be described in detail below with reference to FIG6 .

[0126] Figure 8 A structural block diagram of an evaluation device for an underground pipe gallery temperature field according to an embodiment of the present invention is shown.

[0127] like Figure 8 As shown, the underground pipe gallery temperature field evaluation device 800 of this embodiment includes a parameter determination module 810, a combination module 820, an information processing module 830 and a result output module 840.

[0128] Parameter determination module 810 is configured to determine fire source parameters and pipeline parameters corresponding to the underground pipeline corridor based on the fire source value interval corresponding to the reference fire source information of the existing pipeline corridor, the pipeline value interval corresponding to the reference pipeline information, and the underground pipeline corridor information. The fire source parameters include at least one of a power parameter, a heat release rate, and a spatial parameter, and the pipeline parameters include at least one of a plane parameter, a cross-sectional parameter, and a dimensional parameter. In one embodiment, parameter determination module 810 can be configured to perform operation S210 described above and will not be further described herein.

[0129] Combining module 820 is configured to combine at least one of the power parameter, heat release rate, spatial parameter, plane parameter, cross-sectional parameter, and size parameter as a variable, and the remaining parameters as non-variables, to obtain a plurality of combined information. In one embodiment, combining module 820 may be configured to perform operation S220 described above, which will not be further described herein.

[0130] The information processing module 830 is used to process the multiple combined information to obtain the temperature characteristics, temperature change characteristics and space characteristics of the underground pipe gallery. In one embodiment, the information processing module 830 can be used to perform the operation S230 described above, which will not be repeated here.

[0131] Result output module 840 is configured to input temperature characteristics, temperature variation characteristics, and tunnel spatial characteristics into the evaluation model and output a temperature field evaluation result corresponding to a target tunnel, where the target tunnel is an underground tunnel in an abnormal state. In one embodiment, information processing module 840 can be configured to perform operation S240 described above and will not be further described here.

[0132] According to an embodiment of the present invention, through the parameter determination module 810, combination module 820, information processing module 830 and result output module 840 in the underground pipeline corridor temperature field evaluation device 800, by introducing reasonable fire source value intervals and pipeline value intervals combined with pipeline corridor information, fire source parameters and pipeline parameters that are more in line with the underground pipeline corridor fire scene can be obtained, thereby flexibly combining power parameters, heat release rate, spatial parameters, plane parameters, cross-sectional parameters and size parameters based on variables and non-variables to obtain multiple combined information, avoiding the situation where the underground pipeline corridor fire scene has a large deviation from the actual situation due to insufficient basic data, providing more comprehensive data support for the evaluation of the underground pipeline corridor temperature field, and thus improving the data quality of the evaluation model input data, so that the output temperature field evaluation result is closer to the actual fire scene, meeting the needs of advance warning and comprehensive detection of the underground pipeline corridor temperature field.

[0133] According to an embodiment of the present invention, the pipe gallery information includes pipeline information, and the pipeline information includes cable pipeline information, pipeline density information, and construction period information. According to an embodiment of the present invention, the underground pipe gallery temperature field evaluation device 800 also includes a position information determination module and a temperature detection module. The position information determination module is used to determine the device location information based on the cable pipeline information, pipeline density information, and construction period information. The temperature detection module is used to use the device at the device location information to detect the surface temperature information corresponding to the cable pipeline surface and the ambient temperature information corresponding to the spatial environment, and store them in the information set.

[0134] According to an embodiment of the present invention, the cable pipeline information includes material information and cable size information of the cable pipeline. The evaluation device 800 further includes a mapping relationship determination module. The mapping relationship determination module is configured to process the material information and cable size information based on a preset processing strategy to obtain a mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline.

[0135] According to an embodiment of the present invention, the preset processing strategy includes a model simulation strategy and a sampling strategy based on fluid mechanics. According to an embodiment of the present invention, the mapping relationship determination module includes an information determination submodule and a sampling submodule. The information determination submodule is used to process material information and cable size information based on the model simulation strategy to determine the boundary condition information and initial condition information of the cable pipeline. The sampling submodule samples the boundary condition information, initial condition information and combination parameters based on the sampling strategy and preset heat transfer rules to obtain a mapping relationship, wherein the combination parameters are parameters obtained by combining the material information and the cable size information, and the preset heat transfer rules include any one of the heat transfer rules and the convection heat transfer rules.

[0136] According to an embodiment of the present invention, the sampling submodule includes a first determination unit, a second determination unit, and a third determination unit. The first determination unit is configured to determine a sampling value range and a sampling period corresponding to material information and cable size information, respectively. The second determination unit is configured to determine, based on the sampling period and the sampling value range, a combination parameter corresponding to multiple sampling points in the cable pipeline. The third determination unit is configured to determine a mapping relationship for the combination parameter based on preset heat transfer rules, boundary condition information, and initial condition information.

[0137] According to an embodiment of the present invention, the system further includes a first determination subunit and an alarm information generation subunit. The first determination subunit is configured to determine the temperature change rate within the cable pipeline at the current moment based on a mapping relationship between a previous temperature value collected in a previous sampling period and a current temperature value collected in a current sampling period. The alarm information generation subunit is configured to generate a temperature anomaly alarm message when the temperature change rate is greater than or equal to a change threshold.

[0138] According to an embodiment of the present invention, the pipeline corridor information also includes spatial information and temperature information, where the spatial information includes building space information corresponding to the underground pipeline corridor. Parameter determination module 810 includes a first updating submodule and a second updating submodule. The first updating submodule is configured to update the spatial and temperature information within the fire source value interval to obtain power parameters, heat release rate, and spatial parameters. The spatial parameters are the three-dimensional position information of the fire source in the building space information at the current moment. The second updating submodule is configured to update the spatial and pipeline information within the pipeline value interval to obtain plane parameters, cross-sectional parameters, and dimensional parameters.

[0139] According to an embodiment of the present invention, the information processing module 830 includes a first feature output submodule and a second feature output submodule. The first feature output submodule is configured to input multiple combined information into the simulation model and output temperature features, temperature change features, and tunnel space features. The second feature output submodule is configured to obtain temperature features, temperature change features, and tunnel space features based on the target space information, target material information, target fire source location information, target heat release rate, and preset grid parameters in the combined information.

[0140] According to an embodiment of the present invention, the evaluation device further includes an information determination submodule and a result determination submodule. The information determination submodule is configured to obtain fire source space information based on building space information and fire source type information, pipeline corridor space characteristics, heat release rate, collection time information, and target temperature information corresponding to the collection time information acquired from the information set. The result determination submodule is configured to use the fire source space information to determine an exception handling result corresponding to the underground pipeline corridor in the event of an abnormality.

[0141] According to an embodiment of the present invention, any multiple modules among the parameter determination module 810, the combination module 820, the information processing module 830, and the result output module 840 may be combined into a single module, or any one of these modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in a single module. According to an embodiment of the present invention, at least one of the parameter determination module 810, the combination module 820, the information processing module 830, and the result output module 840 may be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or may be implemented in hardware or firmware through any other reasonable means of circuit integration or packaging, or may be implemented in any one of the three implementation methods of software, hardware, and firmware, or any appropriate combination of any of these. Alternatively, at least one of the parameter determination module 810 , the combination module 820 , the information processing module 830 and the result output module 840 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0142] Figure 9 A block diagram of an electronic device suitable for implementing a method for evaluating the temperature field of an underground pipe gallery according to an embodiment of the present invention is shown.

[0143] like Figure 9 As shown, an electronic device 900 according to an embodiment of the present invention includes a processor 901, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 902 or programs loaded from a storage unit 908 into a random access memory (RAM) 903. The processor 901 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or related chipsets and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 901 may also include onboard memory for caching purposes. The processor 901 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0144] The RAM 903 stores various programs and data required for the operation of the electronic device 900. The processor 901, ROM 902, and RAM 903 are connected to each other via a bus 904. The processor 901 executes the programs in the ROM 902 and / or RAM 903 to perform various operations according to the method flow of the embodiment of the present invention. It should be noted that the programs may also be stored in one or more memories other than the ROM 902 and RAM 903. The processor 901 may also execute the programs stored in the one or more memories to perform various operations according to the method flow of the embodiment of the present invention.

[0145] According to an embodiment of the present invention, electronic device 900 may further include an input / output (I / O) interface 905, which is also connected to bus 904. Electronic device 900 may also include one or more of the following components connected to I / O interface 905: an input section 906 including a keyboard, mouse, etc.; an output section 907 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 908 including a hard disk; and a communication section 909 including a network interface card such as a LAN card or modem. Communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to I / O interface 905 as needed. Removable media 911, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 910 as needed, so that computer programs read from the removable media can be installed into storage section 908 as needed.

[0146] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the present invention.

[0147] According to an embodiment of the present invention, a computer-readable storage medium may be a non-volatile computer-readable storage medium, and may include, for example, but not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present invention, a computer-readable storage medium may include the ROM 902 and / or RAM 903 described above, and / or one or more memories other than ROM 902 and RAM 903.

[0148] Embodiments of the present invention also include a computer program product, comprising a computer program containing program code for executing the method shown in the flowchart. When the computer program product is executed in a computer system, the program code is used to cause the computer system to implement the underground pipe gallery temperature field assessment method provided in an embodiment of the present invention.

[0149] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when executed by the processor 901. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0150] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 909, and / or installed from a removable medium 911. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0151] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 909 and / or installed from a removable medium 911. When the computer program is executed by the processor 901, the above-described functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the systems, devices, means, modules, units, etc. described above can be implemented by computer program modules.

[0152] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include, but are not limited to, languages such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0153] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the above-mentioned module, program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession 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 or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0154] It will be understood by those skilled in the art that the features described in the various embodiments of the present invention may be combined and / or coupled in various ways, even if such combinations or couplings are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention may be combined and / or coupled in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or couplings fall within the scope of the present invention.

[0155] The above describes embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for evaluating the temperature field of an underground pipeline gallery, characterized in that: The method comprises: Based on the fire source value interval corresponding to the reference fire source information of the existing pipe gallery, the pipeline value interval corresponding to the reference pipeline information, and the pipe gallery information of the underground pipe gallery, respectively determining the fire source parameters and pipeline parameters corresponding to the underground pipe gallery, wherein the fire source parameters include at least one of a power parameter, a heat release rate, and a spatial parameter, and the pipeline parameters include at least one of a plane parameter, a cross-sectional parameter, and a size parameter; At least one of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the size parameter is used as a variable, and the remaining parameters are used as non-variables to combine to obtain a plurality of combination information; Processing the plurality of combined information to obtain temperature characteristics, temperature change characteristics, and corridor space characteristics of the underground corridor; The temperature characteristics, the temperature change characteristics and the tunnel space characteristics are input into an evaluation model, and a temperature field evaluation result corresponding to a target tunnel is output, wherein the target tunnel is a tunnel in an abnormal state in the underground tunnel.

2. The method according to claim 1, characterized in that The pipeline corridor information includes pipeline information, and the pipeline information includes cable pipeline information, pipeline density information, and construction period information; the method further includes: Determine equipment location information based on the cable pipeline information, the pipeline density information, and the construction period information; Surface temperature information corresponding to the surface of the cable pipeline and ambient temperature information corresponding to the spatial environment are detected by using the device at the device location information, and are stored in an information set.

3. The method according to claim 2, characterized in that The cable pipeline information includes material information and cable size information of the cable pipeline; the method further includes: The material information and the cable size information are processed based on a preset processing strategy to obtain a mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline.

4. The method according to claim 3, characterized in that The preset processing strategy includes a model simulation strategy and a sampling strategy based on fluid mechanics; The material information and the cable size information are processed based on a preset processing strategy to obtain a mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline, including: Processing the material information and the cable size information based on the model simulation strategy to determine boundary condition information and initial condition information of the cable pipeline; The boundary condition information, the initial condition information and the combination parameter are sampled based on the sampling strategy and the preset heat transfer rule to obtain the mapping relationship, wherein the combination parameter is a parameter obtained by combining the material information and the cable size information, and the preset heat transfer rule includes one of a heat transfer rule and a convection heat transfer rule.

5. The method according to claim 4, characterized in that Sampling the boundary condition information, the initial condition information, and the combination parameter based on the sampling strategy and the preset heat transfer rule to obtain the mapping relationship includes: Determine a sampling value range and a sampling period corresponding to the material information and the cable size information respectively; Determining, according to the sampling period and the sampling value range, combined parameters corresponding to a plurality of sampling points in the cable pipeline; The mapping relationship is determined for the combined parameter based on the preset heat transfer rule, the boundary condition information and the initial condition information.

6. The method according to any one of claims 3 to 5, characterized in that The method further comprises: Determining the temperature change rate inside the cable pipeline at a current moment based on a previous temperature value collected in a previous sampling period, a current temperature value collected in a current sampling period, and the mapping relationship; When the temperature change rate is greater than or equal to the change threshold, temperature abnormality alarm information is generated.

7. The method according to claim 2, characterized in that The pipe gallery information further includes space information and temperature information, wherein the space information includes building space information corresponding to the underground pipe gallery; Based on the fire source value interval corresponding to the reference fire source information of the existing pipe gallery, the pipeline value interval corresponding to the reference pipeline information, and the pipe gallery information of the underground pipe gallery, respectively determining the fire source parameters and pipeline parameters corresponding to the underground pipe gallery, including: In the fire source value interval, the spatial information and the temperature information are updated to obtain the power parameter, the heat release rate, and the spatial parameter, where the spatial parameter is the three-dimensional position information of the fire source in the building spatial information at the current moment; Within the pipeline value interval, the spatial information and the pipeline information are updated to obtain the plane parameters, the cross-sectional parameters and the size parameters.

8. The method according to claim 7, characterized in that The plurality of combined information are processed to obtain temperature characteristics, temperature change characteristics, and corridor space characteristics of the underground corridor, including: Input the plurality of combined information into a simulation model, and output the temperature characteristics, the temperature change characteristics, and the pipe gallery space characteristics; or Based on the target space information, target material information, target fire source point information, target heat release rate and preset grid parameters in the combined information, the temperature characteristics, the temperature change characteristics and the pipe gallery space characteristics are obtained.

9. The method according to claim 8, characterized in that The method further comprises: Obtaining fire source space information based on the building space information and fire source type information acquired from the information set, the pipe gallery space characteristics, the heat release rate, the collection time information, and the target temperature information corresponding to the collection time information; The fire source space information is used to determine an abnormality handling result corresponding to the underground pipe gallery under abnormal circumstances.

10. An evaluation device for the temperature field of an underground pipe gallery, characterized in that: The device comprises: a parameter determination module, configured to determine, based on a fire source value interval corresponding to reference fire source information of an existing pipe gallery, a pipeline value interval corresponding to reference pipeline information, and pipe gallery information of the underground pipe gallery, fire source parameters and pipeline parameters corresponding to the underground pipe gallery, respectively, wherein the fire source parameters include at least one of a power parameter, a heat release rate, and a spatial parameter, and the pipeline parameters include at least one of a plane parameter, a cross-sectional parameter, and a size parameter; a combining module, configured to combine at least one of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-sectional parameter, and the size parameter as a variable and the remaining parameters as non-variables to obtain a plurality of combination information; An information processing module is used to process the plurality of combined information to obtain temperature characteristics, temperature change characteristics and corridor space characteristics of the underground corridor; The result output module is used to input the temperature characteristics, the temperature change characteristics and the tunnel space characteristics into the evaluation model, and output the temperature field evaluation result corresponding to the target tunnel, wherein the target tunnel is a tunnel in an abnormal state in the underground tunnel.

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