Method and device for evaluating temperature field of underground pipe gallery

Abstract

The invention provides an underground pipe gallery temperature field evaluation method and device, and relates to the technical field of fire detection and artificial intelligence. The evaluation method comprises the following steps: respectively determining fire source parameters and pipeline parameters corresponding to an underground pipe gallery based on a fire source numerical interval corresponding to reference fire source information of an existing pipe gallery, a pipeline numerical interval corresponding to reference pipeline information and pipe gallery information of the underground pipe gallery; taking at least one parameter of the power parameter, the heat release rate, the space parameter, the plane parameter, the section parameter and the size parameter as a variable, taking the remaining parameters as invariables, and performing combination to obtain a plurality of pieces of combination information; processing the multiple pieces of combined information to obtain temperature characteristics, temperature change characteristics and pipe gallery spatial characteristics of the underground pipe gallery; and inputting the temperature characteristics, the temperature change characteristics and the pipe gallery spatial characteristics into an evaluation model, and outputting a temperature field evaluation result corresponding to the target pipe gallery. Through the method, the flexibility and accuracy of underground pipe gallery temperature field evaluation can be improved.

Description

Technical Field

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

[0002] Urban underground pipe galleries usually have a complex structure, with narrow and complex spaces. In case of a fire, the spread speed is fast, the passage is restricted, and the rescue time is long, making it difficult to respond in a timely manner. In related technologies, the temperature detection and prediction technologies for urban underground pipe galleries mainly include distributed wireless sensors and infrared thermal imaging detection technologies for detection, an inversion calculation method based on the smoked trace of a fire scene, and a fire scene temperature prediction realized by using a prediction model based on a machine learning method, which provide a certain degree of guarantee for the temperature detection and fire scene prediction of underground pipe galleries.

[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 comprehensively detect underground pipe galleries; the inversion method is for post-event analysis and is difficult to meet the requirements of real-time prediction and pre-event warning; there is a lack of historical data for underground pipe gallery fires in the prediction of traditional machine learning models, resulting in the prediction results being difficult to meet the actual prediction accuracy requirements. Summary of the Invention

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

[0005] According to a first aspect of the present invention, there is provided a method for evaluating the temperature field of an underground pipe gallery, including: respectively determining a fire source parameter and a pipeline parameter corresponding to the underground pipe gallery based on a fire source numerical range corresponding to reference fire source information of an existing pipe gallery, a pipeline numerical range corresponding to reference pipeline information, and the pipe gallery information of the underground pipe gallery, wherein 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 dimension parameter; taking at least one of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter as a variable and the remaining parameters as non-variables for combination to obtain a plurality of combined information; processing the plurality of combined information to obtain a temperature feature, a temperature change feature, and a pipe gallery space feature of the underground pipe gallery; inputting the temperature feature, the temperature change feature, and the pipe gallery space feature into an evaluation model to output a temperature field evaluation result corresponding to a target pipe gallery, wherein the target pipe gallery is a pipe gallery in an abnormal state in the underground pipe gallery.

[0006] The second aspect of the present invention provides an evaluation device for the temperature field of an underground utility tunnel, comprising: a parameter determination module configured to respectively determine a fire source parameter and a pipeline parameter corresponding to the underground utility tunnel based on a fire source numerical range corresponding to reference fire source information of an existing utility tunnel, a pipeline numerical range corresponding to reference pipeline information, and the utility tunnel information of the underground utility tunnel, wherein 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 dimension parameter; a combination module configured to combine at least one of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter as a variable and the remaining parameters as non-variables to obtain a plurality of combination information; an information processing module configured to process the plurality of combination information to obtain a temperature characteristic, a temperature change characteristic, and a utility tunnel space characteristic of the underground utility tunnel; and a result output module configured to input the temperature characteristic, the temperature change characteristic, and the utility tunnel space characteristic into an evaluation model and output a temperature field evaluation result corresponding to a target utility tunnel, wherein the target utility tunnel is a utility tunnel in an abnormal state in the underground utility tunnel.

[0007] The third aspect of the present invention provides an electronic device, comprising: one or more processors; a memory configured to store 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 stored thereon a computer program or instruction, and when the computer program or instruction is executed by a processor, the steps of the above method are implemented.

[0009] The fifth aspect of the present invention further provides a computer program product, comprising a computer program or instruction, and when the computer program or instruction is executed by a processor, the steps of the above method are implemented.

[0010] According to the embodiments of the present invention, by introducing a reasonable fire source numerical range and a pipeline numerical range in combination with the utility tunnel information, fire source parameters and pipeline parameters that are more suitable for the fire scene of the underground utility tunnel can be obtained. Thus, based on variables and non-variables, flexible combinations of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter are performed to obtain a plurality of combination information, avoiding the situation where the prediction result deviates greatly from the actual situation due to insufficient basic data in the fire scene of the underground utility tunnel, providing more comprehensive data support for the evaluation of the temperature field of the underground utility tunnel, further improving the data quality of the input data of the evaluation model, making the output temperature field evaluation result closer to the actual fire scene situation, and meeting the requirements of prior warning and comprehensive detection of the temperature field of the underground utility tunnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Through the following description of the embodiments of the present invention with reference to the accompanying drawings, the content of the present invention and other objects, features, and advantages will become clearer. In the drawings:

[0012] Figure 1 The application scenario diagram of the method, device, equipment, medium, and program product for evaluating the temperature field of the underground utility tunnel according to the embodiments of the present invention is shown.

[0013] Figure 2 The flowchart of the method for evaluating the temperature field of the underground utility tunnel according to the embodiments of the present invention is shown.

[0014] Figure 3 The schematic diagram of an example of the process for obtaining the generation of temperature anomaly warning information according to the embodiments of the present invention is shown.

[0015] Figure 4 The schematic diagram of an example of the process for obtaining the temperature field evaluation result according to the embodiments of the present invention is shown.

[0016] Figure 5 The schematic diagram of an example of the process for obtaining the determination of the fire source space information according to the embodiments of the present invention is shown.

[0017] Figure 6A The temperature cloud map data of the X-Y plane and X-Z plane of the one-way underground utility tunnel according to the embodiments of the present invention is shown.

[0018] Figure 6B The temperature cloud map data of the X-Y plane and X-Z plane of the cross-shaped underground utility tunnel according to the embodiments of the present invention is shown.

[0019] Figure 6C The temperature cloud map data of the X-Y plane and X-Z plane of the T-shaped underground utility tunnel according to the embodiments of the present invention is shown.

[0020] Figure 7 The flowchart of obtaining the mapping relationship between the in-pipe temperature information and the surface temperature information of the cable pipeline according to the embodiments of the present invention is shown.

[0021] Figure 8 The structural block diagram of the device for evaluating the temperature field of the underground utility tunnel according to the embodiments of the present invention is shown.

[0022] Figure 9 The block diagram of the electronic device suitable for implementing the method for evaluating the temperature field of the underground utility tunnel according to the embodiments of the present invention is shown. Detailed implementation manners

[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 merely exemplary and are not intended to limit the scope of the present invention. In the following detailed description, for the sake of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it is obvious that one or more embodiments can also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts of the present invention.

[0024] The terms used herein are merely for describing specific embodiments and are not intended to limit the present invention. The terms "including", "comprising", etc. used herein indicate the presence of the described 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] In the case of using expressions such as "at least one of A, B, and C", generally, it should be interpreted according to 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 not be limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).

[0027] In the related art, for the detection and prediction of urban underground utility tunnel fire scenes, 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 comprehensively detect underground utility tunnels; the inversion method is for post-event analysis and difficult to meet the requirements of real-time prediction and pre-event warning; traditional machine learning model predictions have problems with the lack of historical data for underground utility tunnel fires, resulting in prediction results that are difficult to meet the actual prediction accuracy requirements.

[0028] In view of this, embodiments of the present invention provide a method, apparatus, electronic device, medium, and program product for evaluating the temperature field of an underground utility tunnel. The method includes: determining a fire source parameter and a pipeline parameter corresponding to the underground utility tunnel based on a fire source numerical range corresponding to reference fire source information of an existing utility tunnel, a pipeline numerical range corresponding to reference pipeline information, and the utility tunnel information of the underground utility tunnel, where 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 dimension parameter; combining at least one of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter as a variable and the remaining parameters as non-variables to obtain a plurality of combined information; processing the plurality of combined information to obtain a temperature characteristic, a temperature change characteristic, and a utility tunnel space characteristic of the underground utility tunnel; and inputting the temperature characteristic, the temperature change characteristic, and the utility tunnel space characteristic into an evaluation model to output a temperature field evaluation result corresponding to a target utility tunnel, where the target utility tunnel is a utility tunnel in an abnormal state in the underground utility tunnel.

[0029] According to an embodiment of the present invention, by introducing a reasonable fire source numerical range and a pipeline numerical range in combination with the utility tunnel information, a fire source parameter and a pipeline parameter that are more suitable for the fire scene of the underground utility tunnel can be obtained. Thus, based on the variables and non-variables, flexible combination of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter is performed to obtain a plurality of combined information, avoiding the situation where the prediction result deviates greatly from the actual situation due to insufficient basic data in the fire scene of the underground utility tunnel, providing more comprehensive data support for the evaluation of the temperature field of the underground utility tunnel, further improving the data quality of the input data of the evaluation model, making the output temperature field evaluation result closer to the actual fire scene situation, and meeting the requirements of prior warning and comprehensive detection of the temperature field of the underground utility tunnel.

[0030] Figure 1 The application scenario diagram of the method for evaluating the temperature field of an underground utility tunnel according to an embodiment of the present invention is shown.

[0031] As Figure 1 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 to provide a medium for 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, wireless communication links, or fiber optic cables, etc.

[0032] The data acquisition device 106 can include various types of sensing devices and utility tunnel information acquisition devices. For example, the sensing device can be a distributed optical fiber sensor for detecting the surface temperature information of cable pipelines and the temperature information of the utility tunnel; the utility tunnel information acquisition device can be a laser scanner, a sonar scanner, etc., for acquiring the utility tunnel information of the underground utility tunnel. The data acquisition device 106 can communicate with the server 105 through the network 104 to transmit the acquired data to the server 105 for processing.

[0033] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and 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 can be various electronic devices with a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, and desktop computers, etc.

[0035] The server 105 can be a server providing various services, such as a background management server (for example only) that supports the 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 can analyze and process data such as received user requests, etc., and feedback the processing results (such as web pages, information, or data, etc. obtained or generated according to user requests) to the terminal device.

[0036] It should be noted that the method for evaluating the temperature field of the underground utility tunnel provided by the embodiments of the present invention can generally be executed by the server 105. Correspondingly, the device for evaluating the temperature field of the underground utility tunnel provided by the embodiments of the present invention can generally be set in the server 105. The method for evaluating the temperature field of the underground utility tunnel provided by the embodiments of the present invention can also be executed by a server or a server cluster different from the server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or the server 105. Correspondingly, the device for evaluating the temperature field of the underground utility tunnel provided by the embodiments of the present invention can also be set in a server or a server cluster different from the server 105 and capable of communicating 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, Figure 1The numbers of the terminal devices, networks, and servers in [it] are merely illustrative. According to the implementation requirements, there can be any number of terminal devices, networks, and servers.

[0038] Based on the Figure 1 scenario described below, through Figures 2 to 5 a method for evaluating the temperature field of an underground utility tunnel in an embodiment will be described in detail.

[0039] Figure 2 The flowchart of the method for evaluating the temperature field of an underground utility tunnel according to an embodiment of the present invention is shown.

[0040] As Figure 2 shown, the method for evaluating the temperature field of the underground utility tunnel in this embodiment includes operation S210 to operation S240.

[0041] In operation S210, based on the fire source numerical range corresponding to the reference fire source information of the existing utility tunnel, the pipeline numerical range corresponding to the reference pipeline information, and the utility tunnel information of the underground utility tunnel, the fire source parameters and pipeline parameters corresponding to the underground utility tunnel are determined respectively.

[0042] According to an embodiment of the present invention, 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-section parameter, and a dimension parameter.

[0043] In an embodiment of the present invention, the reference fire source information of the existing utility tunnel may be information on relevant data and situations regarding fire sources collected in the existing utility tunnel in the past. This information may be the fire source-related data in actual fire cases that have occurred, or the fire source-related data obtained through means such as experiments and simulations. The fire source-related data may include the power parameter, heat release rate, and spatial parameter of the fire source. The fire source numerical range can be understood as the reasonable value range of the power parameter, heat release rate, and spatial parameter information of different fire sources. The reference pipeline information is the information of the pipelines existing in the existing utility tunnel, including the plane parameter, cross-section parameter, and dimension parameter of the pipelines. The pipeline numerical range can be understood as the reasonable value range of the plane parameter, cross-section parameter, and dimension parameter of the pipelines.

[0044] In an embodiment of the present invention, the power parameter can characterize the heat released by the fire source per unit time; the heat release rate can be an index used to measure the change of heat release intensity over time and can include the maximum heat release rate. The spatial parameter can characterize the three-dimensional position information of the fire source in the building space information. The plane parameter can include the plane size and plane shape of the pipeline in the entire building. The cross-section parameter can characterize the cross-section size and cross-section shape of different pipelines.

[0045] In an embodiment of the present invention, taking the fire source value range corresponding to the reference fire source information of the existing utility tunnel and the pipeline value range corresponding to the reference pipeline information as references, and using the utility tunnel information of the underground utility tunnel, the fire source value and the pipeline value corresponding to the underground utility tunnel within the fire source value range and the pipeline value range are determined, that is, the fire source parameters and the pipeline parameters.

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

[0047] For example, the space parameter can be used as a variable, and the power parameter, the heat release rate, the plane parameter, the cross-section parameter, and the dimension parameter are used as non-variables to obtain a plurality of combined information. Or, the cross-section parameter and the dimension parameter are used as variables, and the power parameter, the heat release rate, the space parameter, and the plane parameter are used as non-variables, and a plurality of combined information can be obtained.

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

[0049] In an embodiment of the present invention, the temperature characteristics can characterize the temperature distribution characteristics, the temperature peak value, and the temperature gradient characteristics of the underground utility tunnel. The temperature change characteristics can characterize the change of the temperature at each point of the underground utility tunnel over time, so as to determine whether an abnormal situation occurs. The utility tunnel space characteristics reflect the space position coordinates of the underground utility tunnel, and once an abnormal situation occurs, the fire source position can be accurately located.

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

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

[0052] In an embodiment of the present invention, the utility tunnel in an abnormal state can be understood as a utility tunnel with abnormal temperature. For example, if the temperature at a certain position or area in the utility tunnel is too high, it can indicate that there is a fire hazard in this area. The evaluation model can be a regression prediction model, such as a support vector regression model.

[0053] For example, preprocess the temperature characteristics, temperature change characteristics, and utility tunnel space characteristics. The preprocessing may include: taking the coordinate information in the utility tunnel space characteristics as independent variables, considering its role in the temperature field change. For the temperature characteristics and temperature change characteristics, the weights and bias parameters learned during the training process can be combined to evaluate their influence on the temperature field and assign corresponding weights. Thus, the preprocessed characteristics can be mapped to a high-dimensional feature space through the Gaussian radial basis kernel inside the model. By finding an optimal hyperplane, the predicted values within a certain range near this plane can better approximate the actual temperature field values. Furthermore, 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 result is output.

[0054] According to the embodiments of the present invention, by introducing reasonable fire source numerical intervals and pipeline numerical intervals and combining utility tunnel information, fire source parameters and pipeline parameters that are more suitable for the underground utility tunnel fire scene can be obtained. Thus, based on variables and non-variables, multiple combined information can be flexibly combined for power parameters, heat release rate, space parameters, plane parameters, cross-section parameters, and size parameters, avoiding the situation where the prediction results deviate greatly from the actual situation due to insufficient basic data in the underground utility tunnel fire scene, providing more comprehensive data support for the evaluation of the underground utility tunnel temperature field, and further improving the data quality of the input data of the evaluation model, making the output temperature field evaluation result closer to the actual fire scene situation and meeting the requirements of prior warning and comprehensive detection of the underground utility tunnel temperature field.

[0055] According to the embodiments of the present invention, the utility tunnel information includes pipeline information, and the pipeline information includes cable pipeline information, pipeline density information, and construction period information. The method further includes: determining the equipment location information according to the cable pipeline information, pipeline density information, and construction period information; detecting the surface temperature information corresponding to the cable pipeline surface and the environmental temperature information corresponding to the space environment at the equipment location information and storing them in the information set.

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

[0057] In an embodiment of the present invention, the cable pipelines are laid on the inner walls around the underground utility tunnel and extend through parallel to the inner walls of the underground utility tunnel in the same direction as the main structure of the underground utility tunnel. According to the cable pipeline information, pipeline density information, and construction period information, it is determined to lay distributed optical fiber sensors at both ends and the middle position of the ceiling inside the underground utility tunnel, at the midline height of both side walls, and along the length direction of the surface of each cable pipeline. For example, fiber optic sensors are correspondingly arranged for 5 of the cable pipelines, and the laying spacing is consistent with the spatial resolution of the distributed optical fiber sensors. The environmental temperature information corresponding to the spatial environment is collected by the data acquisition devices at both ends and the middle position of the ceiling and at the midline height of both side walls, and the surface temperature information corresponding to the surface of the cable pipeline is collected by the data acquisition devices laid along the length direction of the surface of each cable pipeline.

[0058] According to an embodiment of the present invention, determining the device position information according to the cable pipeline information, pipeline density information, and construction period information can make the positions and laying densities of the data acquisition devices more reasonable, reflect the actual situation of the underground utility tunnel, and thus be able to collect the temperature data in the underground utility tunnel more accurately and comprehensively, 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, 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; in the case where the temperature change rate is greater than or equal to the change threshold, a temperature anomaly warning message is generated.

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

[0061] In an embodiment of the present invention, the information centrally 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 can 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, the sampling period can be set to 5 s, and the settings of the change threshold and the sampling period can also be adjusted according to the actual situation.

[0064] According to an embodiment of the present invention, different from other types of buildings (such as the intensive personnel flow in public buildings), considering the relatively enclosed and basically unmanned flow characteristics of the underground utility tunnel, a high-frequency sampling period can be set to sample the high-frequency temperature values of the underground utility tunnel, and the temperature field distribution of the underground utility tunnel can be detected in real time, so that the temperature field distribution of any plane or area can be deduced, and the accuracy and comprehensiveness of the temperature field assessment of the underground utility tunnel can be improved.

[0065] Figure 3 An example schematic diagram showing the process of generating temperature anomaly warning information according to an embodiment of the present invention is shown.

[0066] As Figure 3 shown, obtain the tunnel information 301 of the underground utility tunnel, determine the equipment location information 302 based on the cable pipeline information, pipeline density information and construction period information, collect the surface temperature information and ambient temperature information corresponding to the surface of the cable pipeline through the temperature acquisition device, and store them in the information set 303. Using the previous temperature value collected in the previous sampling period and the current temperature value collected in the current sampling period in the information set 303, and the mapping relationship 304 between the in-pipe temperature information and the surface temperature information, determine the change rate inside the cable pipeline. When the temperature change rate is greater than or equal to the change threshold, generate temperature anomaly warning information 305.

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

[0068] According to an embodiment of the present invention, the tunnel information further includes space information and temperature information, and the space information includes the building space information corresponding to the underground utility tunnel. Based on the fire source numerical interval corresponding to the reference fire source information of the existing tunnel, the pipeline numerical interval corresponding to the reference pipeline information, and the tunnel information of the underground utility tunnel, determine the fire source parameters and pipeline parameters corresponding to the underground utility tunnel respectively, including: within the fire source numerical interval, update the space information and temperature information to obtain power parameters, heat release rate and space parameters, and the space parameter is the three-dimensional position information of the fire source in the building space information at the current moment; within the pipeline numerical interval, update the space information and pipeline information to obtain plane parameters, cross-section parameters and dimension parameters.

[0069] In an embodiment of the present invention, the temperature information characterizes the heat source parameters in the underground utility tunnel. The heat source parameters include the ambient temperature parameter and the cable pipeline temperature parameter of the underground utility tunnel. The power parameter characterizes the fire power and reflects the speed of energy release by the fire source. The heat release rate characterizes the maximum heat release rate of the fire source and reflects the maximum amount of heat released by the fire source per unit time. The plane parameter can characterize the plane layout information of the pipeline. The cross-section parameter characterizes the cross-sectional shape information of the cable pipeline.

[0070] In an embodiment of the present invention, the spatial information can characterize the building spatial information and the utility tunnel spatial information corresponding to the underground utility tunnel. The building spatial information can characterize the building plane information and the building size information. The utility tunnel spatial information can include the plane information of the underground utility tunnel, the utility tunnel size information, and the relative position information of the underground utility tunnel in the building. For example, the plane information corresponding to the underground utility tunnel can be a linear, cross-shaped, or T-shaped underground utility tunnel. For example, the fire source numerical range can include a power parameter numerical range of 0.1 - 5 mW, a heat release rate numerical range of 0.5 - 10 mW / min, and a spatial parameter numerical range of 5 - 30 m; the spatial information can be 2 - 15 m, the temperature information can be a power of 0.3 - 8 mW and a heat release rate of 1.5 - 12 mW / min. Within the fire source numerical range, the spatial information and the temperature information are updated to obtain a power parameter that can be 0.1 - 8 mW, a heat release rate that can be 0.3 - 10 mW, and a spatial parameter that can be 2 - 30 m.

[0071] For example, the pipeline numerical range can include a plane parameter numerical range of 20 - 60 m 2 , a cross-section parameter numerical range of a height of 2 - 3 m and a width of 3 - 6 m, and a size parameter numerical range of 2 - 50 m; the spatial information can be 2 - 15 m, and the pipeline information can be a plane parameter of 10 - 30 m 2 , a cross-section parameter of a height of 1.5 - 3 m and a width of 2 - 4 m, and a size parameter of 2 - 30 m. Within the fire source numerical range, the spatial information and the pipeline information are updated to obtain a plane parameter of 10 - 60 m 2 , a cross-section parameter of a height of 1.5 - 3 m and a width of 2 - 6 m, and a size parameter of 2 - 50 m.

[0072] For example, for the utility tunnel spatial information, at a horizontal plane of 1.7 m, with the center of the underground utility tunnel entrance as the origin, the extension direction of the underground utility tunnel as the X-axis, the direction perpendicular to the long axis and parallel to the ground as the Y-axis, and the direction perpendicular to the ground as the Z-axis, a three-dimensional space coordinate system is established. The spatial parameter can characterize the coordinates of the fire source in the three-dimensional space coordinate system.

[0073] According to an embodiment of the present invention, by flexibly combining power parameters, heat release rates, space parameters, etc., the complex conditions of the underground utility tunnel fire scene can be described in more detail. For example, different combinations of power parameters can reflect the changes in the combustion intensity of the fire source at different stages, and the combination of heat release rate and space parameters can reflect the heat release situation of the fire at different positions in the utility tunnel. These rich combination information enables the model to capture the real state of the fire scene more accurately, thereby reducing the prediction deviation caused by insufficient basic data.

[0074] Furthermore, in the related art, when predicting the fire scene temperature, the data relied on is relatively single. By flexibly combining different parameters in the present invention, when the basic data of some key parameters is missing or inaccurate, the influence brought by the uncertainty of a single parameter can be dispersed. For example, even if the data of the heat release rate is not accurate enough, combining other relevant parameters such as power parameters and space parameters can still provide relatively reliable results for prediction, improving the accuracy and credibility of the prediction.

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

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

[0077] (1)

[0078] Wherein, 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 value of the fire growth coefficient a is, for example, 0.0469 kW / s².

[0080] For example, the laying position and spacing of the distributed optical fiber sensors in the simulation model are consistent with the actual laying position and spatial resolution of the distributed optical fiber sensors, and temperature detection points are arranged in the underground utility tunnel space at a height interval of 0.5 m. Since the underground utility tunnel environment is closed and the personnel density is low, arranging temperature detection points at a height interval of 0.5 m can accurately evaluate the three-dimensional temperature field of the underground utility tunnel, and once an abnormal situation occurs, protection and rescue can be carried out in a timely and accurate manner.

[0081] Figure 4Schematic diagram showing an example of the process for obtaining the temperature field evaluation result according to an embodiment of the present invention.

[0082] As Figure 4 shown, based on the fire source numerical range 401, pipeline numerical range 402, and utility tunnel information 301, pipeline parameters 403 and fire source parameters 404 are determined. Based on the pipeline parameters 403 and fire source parameters 404, multiple combined information 405 is obtained. The multiple combined information 405 is input into the simulation model, and temperature characteristics 406, temperature change characteristics 407, and utility tunnel space characteristics 408 are output. Based on the temperature characteristics 406, temperature change characteristics 407, and utility tunnel space characteristics 408, the evaluation model is input, and the temperature field evaluation result 409 corresponding to the target utility tunnel is output.

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

[0084] In an embodiment of the present invention, based on the grid division algorithm, the underground utility tunnel space in the simulation model is divided into computational grids. For example, algorithms such as Delaunay triangulation algorithm, advancing front method, and covering method. The preset grid parameters represent grid attributes, such as attributes like grid density and grid cell type.

[0085] In an embodiment of the present invention, in the case of a fire that has occurred, the temperature characteristics, temperature change characteristics, and utility tunnel space characteristics can also be obtained based on the ventilation system parameters in the underground utility tunnel, 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 attributes.

[0086] According to an embodiment of the present invention, by inputting multiple combined information into the simulation model, the influence of various factors on the temperature characteristics, temperature change characteristics, and utility tunnel space characteristics of the underground utility tunnel can be comprehensively considered, which can reflect the actual situation of the underground utility tunnel in all aspects, improve the accuracy and reliability of the simulation. Determining the temperature characteristics, temperature change characteristics, and utility tunnel space characteristics through information such as target space information, target material information, target fire source location information, target heat release rate, and preset grid parameters can more accurately simulate the temperature change and heat propagation during a fire, improve the speed and efficiency of emergency rescue, and reduce the losses caused by the fire.

[0087] According to an embodiment of the present invention, the method further includes: obtaining fire source spatial information based on the building spatial information, fire source type information, tunnel space characteristics, heat release rate, collection time information, and target temperature information corresponding to the collection time information acquired from the information set; and determining an abnormal processing result corresponding to the underground tunnel in case of an abnormality by using the fire source spatial information.

[0088] Fires can be classified into four types: slow, medium, fast, and ultra-fast fires based on relevant codes and standards. In the embodiments of the present invention, the underground tunnel has a large space scale, and the internal combustibles are distributed in large quantities and are dispersed. Therefore, the present invention constructs a fast fire scenario, that is, the fire source type information is of the fast fire type.

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

[0090] In the embodiments of the present invention, the prediction model can be, for example, a deep learning prediction model. A deep learning prediction model is established based on the integrated algorithm of long short-term memory network and convolutional neural network (CNN-LSTM). The prediction model can 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, the method of predicting the fire source spatial information by using the trained prediction model can include: inputting the building spatial information, fire source type information, tunnel space characteristics, heat release rate, collection time information, and target temperature information through the input layer, so as to use the convolutional neural network layer to extract features from these input data. The convolutional kernel slides at various positions of the spatial data and performs a convolution operation with the data in the local area, thereby capturing the local feature patterns in the space, such as the wall edges in the building structure, the connection points between rooms and channels, and the relative position relationship between the internal equipment and the channels in the tunnel. These local features will gradually combine into higher-level and more semantically meaningful spatial feature representations as the convolutional layer deepens, such as the spatial connectivity of different regions and the degree of enclosure of the space.

[0092] To meet the requirements of the input data for the long short-term memory network layer, several convolutional layers and pooling layers can be used to reduce the spatial dimension of the features while retaining important feature information, and organize it into a data form suitable for input into the long short-term memory network layer, and then input into the long short-term memory network layer. The memory units corresponding to the long short-term memory network layer can update their states sequentially according to the input order of the time series data. At each time step, the long short-term memory network layer can combine information such as the current input heat release rate, target temperature, etc. and the states in the previous memory units to update the cell state and the hidden state, and the hidden state can be used to output information for the next calculation at each time step.

[0093] In a feasible embodiment, the fire source type information can be used as an additional input feature and input into the long short-term memory network layer at each time step or at the initial moment to help the model consider the differences in the influence of different fire source types on the fire source spatial information during the inference process. In this way, the long short-term memory network layer can comprehensively consider factors such as the dynamic changes of heat release and temperature in the time series, as well as spatial features and fire source types, and gradually build an understanding of the process of the change in the position of the fire source in space.

[0094] Finally, the hidden state processed by the long short-term memory network layer can be input into the output layer. The output layer can map the hidden state to the dimension of the fire source spatial information through a fully connected layer (dense layer). For example, the output can be a three-dimensional vector representing the fire source position coordinates (corresponding to the position in the building or pipe gallery space), or a probability distribution of the existence of the fire source at each possible position in the space (processed through an activation function so that the sum of the probabilities of each position in the output is 1). According to the actual needs and model design, the fire source spatial information can be obtained as the inference result.

[0095] For example, the prediction model can be trained as follows: Each database is divided into samples of length 30 using the window scanning technique, and the deep learning prediction model is trained under a sampling period of 5 s to obtain the trained prediction model. Based on three typical underground utility tunnel space models: the one-shaped, cross-shaped, and T-shaped models. Each database is divided into samples of length 30 using the window scanning technique, and the deep learning prediction model is trained under a sampling period of 5 s. The input dimensions of the training data include the three-dimensional coordinate matrix of the building space information, the category encoding vector of the fire source type information, the geometric parameters of the utility tunnel space features, the time series data of the heat release rate, the acquisition time information with timestamps, and the corresponding target temperature information. The output dimension is the true three-dimensional coordinates of the fire source, that is, the fire source space information. The convolutional neural network module uses a 3×3 convolutional kernel, the ReLU activation function, and a 2×2 max pooling layer to extract spatial features. The long short-term memory network layer captures the temporal correlation, and the predicted values of the fire source spatial coordinates are output through the fully connected layer. The mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE) are used to judge the accuracy of the model. The mean absolute error, mean absolute percentage error, and root mean square error are calculated based on the number of samples, the true values of the samples, and the predicted values of the samples. The accuracies of the fire source space information obtained through the prediction model are 0.947, 0.902, and 0.919 respectively.

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

[0097] According to the embodiments of the present invention, the convolutional neural network can effectively extract the local and global spatial features in the building space information and the utility tunnel space features, such as the spatial layout and relative position relationships of walls, pipes, equipment, etc. The long short-term memory network is suitable for processing time series data and can capture the long-term dependencies in the heat release rate, acquisition time information, and target temperature information. By combining the two, the model can simultaneously consider the spatial and temporal features in the fire source location prediction task, thereby more accurately locating the fire source location. Especially for the complex building structure, utility tunnel layout, and fire scenarios in the underground utility tunnel space, through the adaptive learning of the spatial features by the convolutional neural network and the dynamic capture of the time series features by the long short-term memory network, it can better adapt to the changes in the underground utility tunnel environment and maintain stable prediction performance.

[0098] Figure 5 Fig. shows an exemplary schematic diagram of the process of determining the fire source space information according to an embodiment of the present invention.

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

[0100] According to an embodiment of the present invention, determining the fire source space information based on the building space information, the fire source type information, the duct gallery space characteristics, the heat release rate, the acquisition time information, and the target temperature information corresponding to the acquisition time information can form a fire source location algorithm based on multi-dimensional characteristics, and the model is evaluated using the accuracy rate. It can achieve accurate fire source location, assist in formulating fire accident handling plans, optimize resource allocation, and significantly improve the fire response speed and the accuracy of personnel evacuation decision-making.

[0101] In an embodiment of the present invention, the temperature field of the underground duct gallery is evaluated using the evaluation model, and the temperature field evaluation result is output and temperature cloud map data is generated.

[0102] For example, taking the origin at the center of the underground duct gallery entrance at a 1.7m high horizontal plane, with the extension direction of the underground duct gallery as the X-axis, the direction perpendicular to the long axis and parallel to the ground as the Y-axis, and the direction perpendicular to the ground as the Z-axis, to establish a three-dimensional space coordinate system as an example,

[0103] Figure 6A The temperature cloud map data of the X-Y plane and the X-Z plane of the linear underground duct gallery according to an embodiment of the present invention is shown.

[0104] Figure 6B The temperature cloud map data of the X-Y plane and the X-Z plane of the cross-shaped underground duct gallery according to an embodiment of the present invention is shown.

[0105] Figure 6C The temperature cloud map data of the X-Y plane and the X-Z plane of the T-shaped underground duct gallery according to an embodiment of the present invention is shown.

[0106] As Figures 6A to 6C shown, at least one parameter among the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter is used as a variable, and the remaining parameters are used as non-variables for combination to obtain a plurality of combined information, and the temperature field evaluation result is obtained based on the plurality of combined information. In the temperature cloud map data of the temperature field evaluation result, the brightness and darkness of the color reflect 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 current underground duct gallery is uniform and there is no fire source. The darker area 602 reflects that the temperature in this area of the current underground duct gallery is higher, and there is an obvious brightness difference from the surrounding areas. Then, a fire source may have occurred in the darker area 602.

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

[0108] In an embodiment of the present invention, the material information of the cable pipeline characterizes the material of the cable pipeline and the insulating material of the cable pipeline. For example, the insulating material can be materials such as polyvinyl chloride, epoxy resin, and fiberglass. The cable size information characterizes the pipeline 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, using a preset processing strategy, parameters such as the material of the cable pipeline, the diameter and thickness of the cable pipeline, and the insulating material of the cable pipeline are respectively changed to obtain the mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline under different parameters.

[0110] According to an embodiment of the present invention, the heat transfer of the fire source requires a process, and there is a certain time delay in reflecting the internal temperature information of the cable pipeline by collecting the surface temperature information of the cable pipeline. By accurately mastering the mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline, the temperature environment inside the cable pipeline can be understood more accurately, and timely response can be made when a fire source occurs, avoiding affecting the rescue efficiency due to the internal and external heat transfer process of the cable pipeline.

[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 flowchart showing obtaining the mapping relationship between the internal temperature information and the surface temperature information of the cable pipeline according to an embodiment of the present invention is shown.

[0113] As Figure 7 shown, 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, the material information and cable size information are processed based on the model simulation strategy to determine the 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 characterizes the limiting and restrictive conditions for establishing the mapping relationship between the in-pipe temperature information and the surface temperature information of the cable pipeline, such as environmental boundary conditions like air temperature and air velocity, and self-boundary conditions of the cable pipeline such as the material and thickness of the insulation layer of the cable pipeline. The initial condition information characterizes the state information of the cable pipeline itself and the surrounding environment at the start of the simulation, such as the initial surface temperature information of the cable pipeline.

[0116] In operation S720, samples are taken of the boundary condition information, initial condition information, and combined parameters based on a sampling strategy and a preset heat transfer rule to obtain a mapping relationship, where the combined parameters are parameters obtained by combining material information and cable size information, and the preset heat transfer rule includes any one of a heat conduction rule and a convective heat transfer rule.

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

[0118] In an embodiment of the present invention, the preset heat transfer rule can be rules such as heat conduction and convective heat transfer.

[0119] In an embodiment of the present invention, based on the material information and cable size information, a simulation calculation is performed using a fluid mechanics simulation calculation platform to determine the boundary condition information and the initial surface temperature information of the cable pipeline. Based on the Latin hypercube sampling method and the heat conduction rule, samples are taken of the boundary condition information, initial condition information, and combined parameters to obtain the mapping relationship between the in-pipe 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 the cable diameter being 0.1 - 0.5 m, the insulation layer thickness being 5 - 20 mm, the air velocity being 0 - 5 m / s, and the initial surface temperature being 10 - 50 °C; the equal-probability interval division is performed for each parameter dimension, such as the insulation layer thickness of 5 - 20 mm being divided into 10 intervals: 5 - 6.5 mm, 6.5 - 8 mm, 8 - 9.5 mm, 9.5 - 11 mm... 18.5 - 20 mm; 1 random point is selected for each interval of each parameter, and the random points are randomly arranged to ensure that there is no regular correlation in the selection of value ranges of different dimensions; the values corresponding to the random points are combined, and the combined parameters are executed using the model simulation strategy 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 in-pipe temperature information and the surface temperature information of the cable pipeline, reduce the errors caused by factors such as the environment and materials during the process of confirming the mapping relationship, so as to accurately obtain the in-pipe temperature information of the cable pipeline, and improve the rescue efficiency and response speed.

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

[0123] In an embodiment of the present invention, the sampling value range corresponding to the material information and cable size information respectively can be determined based on the pipeline numerical interval corresponding to the reference pipeline information. The sampling period corresponding to the material information and cable size information respectively can be set to 5s, or can be adjusted according to the actual situation. The sampling points are distributed along the extension direction of the cable pipeline. The combined parameter is the parameter corresponding to the combination of different values of the material information and cable size information.

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

[0125] Based on the evaluation method of the underground pipe gallery temperature field, the present invention also provides an evaluation device for the underground pipe gallery temperature field. The device will be described in detail below with reference to FIG. 6.

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

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

[0128] The parameter determination module 810 is configured to determine a fire source parameter and a pipeline parameter corresponding to the underground utility tunnel based on a fire source numerical range corresponding to the reference fire source information of the existing utility tunnel, a pipeline numerical range corresponding to the reference pipeline information, and the utility tunnel information of the underground utility tunnel, wherein 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 dimension parameter. In one embodiment, the parameter determination module 810 may be configured to perform the operation S210 described above, which will not be elaborated herein.

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

[0130] The information processing module 830 is configured to process the plurality of combined information to obtain a temperature characteristic, a temperature change characteristic, and a utility tunnel space characteristic of the underground utility tunnel. In one embodiment, the information processing module 830 may be configured to perform the operation S230 described above, which will not be elaborated herein.

[0131] The result output module 840 is configured to input the temperature characteristic, the temperature change characteristic, and the utility tunnel space characteristic into an evaluation model, and output a temperature field evaluation result corresponding to the target utility tunnel, wherein the target utility tunnel is a utility tunnel in an abnormal state in the underground utility tunnel. In one embodiment, the information processing module 840 may be configured to perform the operation S240 described above, which will not be elaborated herein.

[0132] According to an embodiment of the present invention, through the parameter determination module 810, the combination module 820, the information processing module 830, and the result output module 840 in the evaluation device 800 of the underground utility tunnel temperature field, by introducing a reasonable fire source numerical range and a pipeline numerical range in combination with the utility tunnel information, a fire source parameter and a pipeline parameter that are more fitting to the underground utility tunnel fire scene can be obtained, so as to flexibly combine the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter based on variables and non-variables to obtain a plurality of combined information, avoiding the situation that the prediction result deviates greatly from the actual situation due to insufficient basic data in the underground utility tunnel fire scene, providing more comprehensive data support for the evaluation of the underground utility tunnel temperature field, further improving the data quality of the input data of the evaluation model, making the output temperature field evaluation result closer to the actual fire scene situation, and meeting the requirements of prior warning and comprehensive detection of the underground utility tunnel temperature field.

[0133] According to an embodiment of the present invention, the utility tunnel 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 evaluation device 800 for the temperature field of the underground utility tunnel further includes a position information determination module and a temperature detection module. The position information determination module is configured to determine the equipment position information according to the cable pipeline information, the pipeline density information, and the construction period information. The temperature detection module is configured to use the equipment at the equipment position information to detect the surface temperature information corresponding to the cable pipeline surface and the environmental temperature information corresponding to the space environment, and store them in the information set.

[0134] According to an embodiment of the present invention, the cable pipeline information includes the material information of the cable pipeline and the cable size information. The evaluation device 800 further includes a mapping relationship determination module. The mapping relationship determination module is configured to process the material information and the cable size information based on a preset processing strategy to obtain the 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 based on fluid mechanics and a sampling strategy. According to an embodiment of the present invention, the mapping relationship determination module includes an information determination sub-module and a sampling sub-module. The information determination sub-module is configured to process the material information and the cable size information based on the model simulation strategy to determine the boundary condition information and the initial condition information of the cable pipeline. The sampling sub-module samples the boundary condition information, the initial condition information, and the combined parameters based on the sampling strategy and a preset heat transfer rule to obtain the mapping relationship, where the combined parameter is a parameter obtained by combining the material information and the cable size information, and the preset heat transfer rule includes any one of the heat transfer rule and the convective heat transfer rule.

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

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

[0138] According to an embodiment of the present invention, the utility tunnel information further includes spatial information and temperature information, and the spatial information includes building spatial information corresponding to the underground utility tunnel. The parameter determination module 810 includes a first update sub-module and a second update sub-module. The first update sub-module is configured to update the spatial information and the temperature information within the fire source numerical range to obtain a power parameter, a heat release rate, and a 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. The second update sub-module is configured to update the spatial information and the pipeline information within the pipeline numerical range to obtain a plane parameter, a cross-section parameter, and a dimension parameter.

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

[0140] According to an embodiment of the present invention, the evaluation device further includes an information determination sub-module and a result determination sub-module. The information determination sub-module is configured to obtain the fire source spatial information based on the building spatial information, the fire source type information, the utility tunnel space feature, the heat release rate, the acquisition time information, and the target temperature information corresponding to the acquisition time information obtained from the information set. The result determination sub-module is configured to determine an abnormal processing result corresponding to the underground utility tunnel in case of an abnormality by using the fire source spatial information.

[0141] According to an embodiment of the present invention, any multiple of the parameter determination module 810, the combination module 820, the information processing module 830, and the result output module 840 may be combined and implemented in one module, or any one of them may be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules may be combined with at least part of the functions of other modules and implemented in one 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 chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or any other reasonable way of integrating or packaging circuits, etc., implemented by hardware or firmware, or implemented in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. 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 can perform corresponding functions when the computer program module is run.

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

[0143] As Figure 9 shown, the electronic device 900 according to an embodiment of the present invention includes a processor 901, which can perform various appropriate actions and processes according to the program stored in the read only memory (ROM) 902 or the program loaded from the storage part 908 into the random access memory (RAM) 903. The processor 901 may include, for example, a general microprocessor (such as a CPU), an instruction set processor, and / or a related chipset, and / or a dedicated microprocessor (such as an application specific integrated circuit (ASIC)), etc. The processor 901 may also include on board 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] In the RAM 903, various programs and data required for the operation of the electronic device 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other via a bus 904. The processor 901 performs various operations of the method flow according to the embodiments of the present invention by executing the programs in the ROM 902 and / or the RAM 903. It should be noted that the programs may also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 may also perform various operations of the method flow according to the embodiments of the present invention by executing the programs stored in the one or more memories.

[0145] According to an embodiment of the present invention, the electronic device 900 may further include an input / output (I / O) interface 905, and the input / output (I / O) interface 905 is also connected to the bus 904. The electronic device 900 may further include one or more of the following components connected to the input / output (I / O) interface 905: an input portion 906 including a keyboard, a mouse, etc.; an output portion 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage portion 908 including a hard disk, etc.; and a communication portion 909 including a network interface card such as a LAN card, a modem, etc. The communication portion 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the input / output (I / O) interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed so that a computer program read from it can be installed into the storage portion 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 separately without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the embodiments of the present invention is implemented.

[0147] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program 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, the computer-readable storage medium may include the above-described ROM 902 and / or RAM 903 and / or one or more memories other than ROM 902 and RAM 903.

[0148] An embodiment of the present invention further includes a computer program product, which includes a computer program that contains program code for executing the method shown in the flowchart. When the computer program product runs in a computer system, the program code is used to enable the computer system to implement the method for evaluating the temperature field of the underground pipe gallery provided by the embodiment of the present invention.

[0149] When the computer program is executed by the processor 901, it executes the above functions defined in the system / apparatus of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0150] In one embodiment, the computer program can rely on tangible storage media such as optical storage devices and magnetic storage devices. In another embodiment, the computer program can also be transmitted and distributed in the form of a signal on a network medium, and be downloaded and installed through the communication part 909, and / or be installed from the removable medium 911. The program code contained in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

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

[0152] According to embodiments of the present invention, program code for executing the computer programs provided by the embodiments of the present invention can be written in any combination of one or more programming languages. Specifically, these computing 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, such as Java, C++, Python, the "C" language, or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's 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's 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 (e.g., by connecting through the Internet using an Internet service provider).

[0153] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that 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 blocks can occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combinations of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0154] Those skilled in the art can understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features described in the various embodiments of the present invention can be combined and / or combined in various ways. All such combinations and / or combinations fall within the scope of the present invention.

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

Claims

1. An evaluation method for the temperature field of an underground pipe gallery, characterized in that The method includes: Based on the fire source numerical range corresponding to the reference fire source information of the existing utility tunnel, the pipeline numerical range corresponding to the reference pipeline information, and the utility tunnel information of the underground utility tunnel, respectively determine the fire source parameters and pipeline parameters corresponding to the underground utility tunnel, where the fire source parameters include at least one of a power parameter, a heat release rate, and a space parameter, and the pipeline parameters include at least one of a plane parameter, a cross-section parameter, and a dimension parameter; Take at least one of the power parameter, the heat release rate, the space parameter, the plane parameter, the cross-section parameter, and the dimension parameter as a variable, and the remaining parameters as non-variables for combination to obtain a plurality of combined information; Process the plurality of combined information to obtain the temperature characteristics, temperature change characteristics, and utility tunnel space characteristics of the underground utility tunnel; Input the temperature characteristics, the temperature change characteristics, and the utility tunnel space characteristics into an evaluation model, and output a temperature field evaluation result corresponding to the target utility tunnel, where the target utility tunnel is the utility tunnel in an abnormal state in the underground utility tunnel.

2. The method according to claim 1, wherein The utility tunnel 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 according to the cable pipeline information, the pipeline density information, and the construction period information; Use the equipment at the equipment location information to detect the surface temperature information corresponding to the cable pipeline surface and the environmental temperature information corresponding to the space environment, and store them in the information set.

3. The method according to claim 2, wherein The cable pipeline information includes the material information and cable size information of the cable pipeline; the method further includes: Process the material information and cable size information based on a preset processing strategy to obtain the mapping relationship between the in-pipe temperature information and the surface temperature information of the cable pipeline.

4. The method according to claim 3, wherein The preset processing strategy includes a model simulation strategy and a sampling strategy based on fluid mechanics; Processing the material information and cable size information based on a preset processing strategy to obtain the mapping relationship between the in-pipe temperature information and the surface temperature information of the cable pipeline includes: Process the material information and the cable size information based on the model simulation strategy to determine the boundary condition information and initial condition information of the cable pipeline; Sample the boundary condition information, the initial condition information, and the combined parameters based on the sampling strategy and preset heat transfer rules to obtain the mapping relationship, where the combined parameters are parameters obtained by combining the material information and the cable size information, and the preset heat transfer rules include one of a heat transfer rule and a convective heat transfer rule.

5. The method according to claim 4, characterized in that, Sampling the boundary condition information, the initial condition information, and the combined parameters based on the sampling strategy and preset heat transfer rules to obtain the mapping relationship includes: Determine the sampling value range and sampling period corresponding to the material information and the cable size information respectively; According to the sampling period and the sampling value range, determine the combined parameters corresponding to multiple sampling points in the cable pipeline; Based on the preset heat transfer rule, the boundary condition information, and the initial condition information for the combined parameters, determine the mapping relationship.

6. The method according to any one of claims 3 to 5, characterized in that The method further includes: Based on the previous temperature value collected in the previous sampling period, the current temperature value collected in the current sampling period, and the mapping relationship, determine the temperature change rate inside the cable pipeline at the current moment; Generate a temperature anomaly warning message when the temperature change rate is greater than or equal to the change threshold.

7. The method according to claim 2, wherein The pipe gallery information further includes spatial information and temperature information, and the spatial information includes building spatial information corresponding to the underground pipe gallery; Based on the fire source numerical range corresponding to the reference fire source information of the existing pipe gallery, the pipeline numerical range corresponding to the reference pipeline information, and the pipe gallery information of the underground pipe gallery, respectively determine the fire source parameters and pipeline parameters corresponding to the underground pipe gallery, including: Within the fire source numerical range, update the spatial information and the temperature information 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 numerical range, update the spatial information and the pipeline information to obtain the plane parameter, the cross-sectional parameter, and the dimension parameter.

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

9. The method according to claim 8, characterized in that, The method further includes: Based on the building spatial information and fire source type information obtained from the information set, the pipe gallery spatial characteristics, the heat release rate, the acquisition time information, and the target temperature information corresponding to the acquisition time information, obtain the fire source spatial information; Use the fire source spatial information to determine the abnormal processing result corresponding to the underground pipe gallery in case of an abnormality.

10. An evaluation device for the temperature field of an underground pipe gallery, characterized in that, The device includes: A parameter determination module for respectively determining the fire source parameters and pipeline parameters corresponding to the underground pipe gallery based on the fire source numerical range corresponding to the reference fire source information of the existing pipe gallery, the pipeline numerical range corresponding to the reference pipeline information, and the pipe gallery information of the underground pipe gallery, where 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 dimension 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 dimension parameter as a variable and the remaining parameters as non-variables to obtain multiple combined information; An information processing module for processing the multiple combined information to obtain the temperature characteristics, temperature change characteristics, and pipe gallery spatial characteristics of the underground pipe gallery; A result output module, configured to input the temperature feature, the temperature change feature, and the pipe gallery space feature into an evaluation model, and output a temperature field evaluation result corresponding to a target pipe gallery, where the target pipe gallery is a pipe gallery in an abnormal state in the underground pipe gallery.

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