Ground surface temperature monitoring method and device based on conduction path

Abstract

The present invention relates to a surface temperature monitoring method and device based on a conduction path. After obtaining the surface sampling temperature of each geographical node, the connection weights between the geographical nodes are calculated according to the surface sampling temperature, and a global surface temperature network based on the geographical nodes is established according to the weighted and direction represented by the connection weights. Based on the topological structure and connection weights of the global surface temperature network, the conduction path set between the geographical nodes is calculated, and the connection weights of each sub-path are dynamically calculated, and the sub-paths are divided into available paths and spare paths according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between the geographical nodes is determined, and an intuitive spatial reference is provided by the conduction path. At the same time, by distinguishing between the available path and the spare path, it is convenient to adjust the range of the available path according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of the spatial correlation.

Description

Technical Field

[0001] The present invention relates to the field of meteorological and climate application technology, and in particular to a method and device for monitoring ground surface temperature based on a conduction path. Background Art

[0002] With the development of the industrial age, the use of fossil energy has brought impacts on the global climate environment, the most significant of which is the rise in global temperature caused by the increase in carbon dioxide concentration. Among them, due to the imbalance of industrial distribution, the changes in surface temperature in different regions are also different, and the surface temperature of various places has spatial correlation with time and climate change. Therefore, the change of surface temperature has a positive effect on the monitoring and analysis of surface temperature.

[0003] At present, the study and monitoring of the spatial correlation between surface temperatures around the world plays an important guiding role in the calculation of future carbon emission space and the allocation of emission reduction responsibilities of major countries in the world, which is conducive to improving the scientific nature of the carbon emission spatial allocation principle adopted in international climate negotiations. However, due to differences in climate and industrial development around the world, the variation patterns of surface temperatures in various regions are very complex, making it difficult to monitor or establish the spatial correlation of surface temperatures in different regions. Summary of the invention

[0004] Based on this, it is necessary to provide a surface temperature monitoring method and device based on a conduction path to address the deficiency that the existing technology is difficult to monitor or establish the spatial correlation of surface temperature in different regions.

[0005] A method for monitoring ground surface temperature based on a conduction path comprises the following steps:

[0006] Get the surface sampling temperature of each geographic node;

[0007] The connection weights between the geographical nodes are calculated according to the surface sampling temperature; wherein the connection weights include positive connection weights and negative connection weights;

[0008] According to the weighted and directional representation of the connection weights, a global surface temperature network based on geographic nodes is established;

[0009] Based on the topological structure and connection weights of the global surface temperature network, a set of conduction paths between each geographical node is calculated; wherein the set of conduction paths includes sub-paths of the unit path between each adjacent geographical node;

[0010] The connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights; among which, the available path is used to characterize the spatial correlation of the surface temperature.

[0011] The above-mentioned surface temperature monitoring method based on the conduction path, after obtaining the surface sampling temperature of each geographical node, calculates the connection weights between each geographical node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographical node according to the weighted and direction represented by the connection weight. Furthermore, based on the topological structure and connection weight of the global surface temperature network, the conduction path set between each geographical node is calculated, and the connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographical node is determined, and the conduction path is used to provide an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation.

[0012] In one embodiment, the surface sampling temperature includes ambient temperature or standard temperature; the standard temperature includes discretized data or normalized data of the ambient temperature.

[0013] In one embodiment, after obtaining the surface sample temperature of each geographic node, the process further includes the following steps:

[0014] The surface sample temperature is subtracted from the daily average temperature value of the corresponding geographic node and divided by the standard deviation of the daily average temperature value.

[0015] In one embodiment, the process of calculating the connection weights between geographic nodes based on the surface sample temperature is as follows:

[0016]

[0017] Among them, T i (l) represents the surface sampling temperature of node i, T j (l) represents the surface sampling temperature of node j, where i or j = 1, 2, 3, ..., 726; l represents the total time, l = (1, 2, 3, ..., 14) × 365; τ represents the time lag, τ = -τ max ,-τ max +1,...,τ max -1,τ max ; Angle brackets indicate the average over time l; X i,j (-τ) and X i,j (τ) represents the correlation coefficient;

[0018] Among them, the positive connection weight and negative connection weight are as follows:

[0019]

[0020] Among them, max(Xi,j )、min(X i,j ), <X i,j > and σ(X i,j ) represent the maximum value, minimum value, mean value and standard deviation of the correlation coefficient within the range respectively; represents the positive connection weight, represents a negative connection weight.

[0021] In one embodiment, the range of τ includes 1 to l-τ max .

[0022] In one embodiment, the distance D between geographic nodes is calculated. i,j ≥5000km, positive connection weight The conduction path consists of geographical nodes with a latitude distance greater than 20° and a distance of ≥5.

[0023] In one embodiment, the process of calculating the set of conductive paths between geographical nodes based on the topological structure and connection weights of the global surface temperature network includes the steps of:

[0024] The topology of the global surface temperature network is configured as a multi-path transmission network;

[0025] A geographical node as a start port and a geographical node as an end port are configured, and a conduction path with a fixed direction of connection weight from the start port to the end port is obtained as a branch path.

[0026] In one embodiment, the number of bidirectionally connectable geographic nodes in the global surface temperature network is selected, and the number of sub-paths in the conductive path set is determined based on the square of the number.

[0027] In one embodiment, the process of dynamically calculating the connection weight of each sub-path and dividing the sub-path into an available path and a standby path according to the sum of the connection weights includes the steps of:

[0028] Calculate the connection weight of each unit path;

[0029] Based on the sum of the connection weights of the unit paths within each sub-path, each sub-path is managed and scored through the transmission path management algorithm to distinguish between available paths and backup paths.

[0030] In one of the embodiments, the sum of the connection weights of the available paths is greater than the sum of the connection weights of the backup paths.

[0031] In one embodiment, based on the sum of the connection weights of the unit paths in each sub-path, each sub-path is managed and scored by a transmission path management algorithm to distinguish between available paths and backup paths, as shown in the following formula:

[0032] IF={Mi}

[0033]

[0034] TP:={TP 1 ,TP 2 ,...,TP i}

[0035] Among them, M i It represents the management score, and TP represents the connection weight set of each unit path.

[0036] In one embodiment, a sub-path with a management score greater than 0 is an available path, and a sub-path with a management score less than 0 is a backup path.

[0037] In one embodiment, the steps are also included:

[0038] Get updated surface sampling temperature;

[0039] According to the updated surface sampling temperature, it is detected whether a new geographical node is added to the backup path;

[0040] When a new geographical node is added to the backup path, the gain of the backup path is calculated;

[0041] When the gain is greater than the preset gain, the standby path is converted into an available path.

[0042] In one embodiment, the process of calculating the gain of the backup path is as follows:

[0043]

[0044] in, ω is a variable parameter with an empirical value of 0.9; ΔT represents the time difference before and after the surface sampling temperature is updated;

[0045] T putmax =max(T put1 ,T put2 ,...,T putz ); z represents multiple geographical nodes with the highest connection weight;

[0046] It represents the average value of the connection weights associated with the new geographic node i after the i-th new geographic node is added;

[0047] Represents the updated sum of the connection weights of the backup path.

[0048] A ground surface temperature monitoring device based on a conduction path, comprising:

[0049] The temperature acquisition module is used to obtain the surface sampling temperature of each geographic node;

[0050] A weight calculation module is used to calculate the connection weights between geographical nodes according to the surface sampling temperature; wherein the connection weights include positive connection weights and negative connection weights;

[0051] A network building module is used to build a global surface temperature network based on geographic nodes according to the weights and directions represented by the connection weights;

[0052] A path analysis module, for calculating a set of conduction paths between geographical nodes based on the topological structure and connection weights of the global surface temperature network; wherein the conduction path set includes sub-paths of a unit path between adjacent geographical nodes;

[0053] The path differentiation module is used to dynamically calculate the connection weight of each sub-path and divide the sub-path into available paths and backup paths according to the sum of the connection weights; among which, the available paths are used to characterize the spatial correlation of the surface temperature.

[0054] The above-mentioned surface temperature monitoring device based on the conduction path, after obtaining the surface sampling temperature of each geographical node, calculates the connection weights between each geographical node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographical node according to the weighted and direction represented by the connection weight. Furthermore, based on the topological structure and connection weight of the global surface temperature network, the conduction path set between each geographical node is calculated, and the connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographical node is determined, and the conduction path is used to provide an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation.

[0055] A computer storage medium stores computer instructions, which, when executed by a processor, implement the surface temperature monitoring method based on a conduction path of any of the above embodiments.

[0056] After obtaining the surface sampling temperature of each geographic node, the above-mentioned computer storage medium calculates the connection weights between each geographic node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographic node according to the weighted and direction represented by the connection weight. Further, based on the topological structure and connection weight of the global surface temperature network, the conduction path set between each geographic node is calculated, and the connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographic node is determined, and the conduction path provides an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation.

[0057] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the surface temperature monitoring method based on the conduction path of any of the above embodiments is implemented.

[0058] After obtaining the surface sampling temperature of each geographic node, the above-mentioned computer device calculates the connection weights between each geographic node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographic node according to the weighted and direction represented by the connection weight. Further, based on the topological structure and connection weight of the global surface temperature network, the conduction path set between each geographic node is calculated, and the connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographic node is determined, and the conduction path is used to provide an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A flow chart of a method for monitoring ground temperature based on a conductive path according to an embodiment;

[0060] Figure 2 A flow chart of a method for monitoring ground temperature based on a conductive path according to another embodiment;

[0061] Figure 3 is the relationship graph between positive connection weight and distance between geographical nodes;

[0062] Figure 4 is the relationship graph between negative connection weight and distance between geographical nodes;

[0063] Figure 5Schematic diagram of positive connection weight threshold;

[0064] Figure 6 It is a schematic diagram of total weighted degree, weighted in-degree and weighted out-degree;

[0065] Figure 7 A flow chart of a method for monitoring ground temperature based on a conductive path according to another embodiment;

[0066] Figure 8 A module structure diagram of a ground surface temperature monitoring device based on a conduction path according to an embodiment;

[0067] Fig. 9 A schematic diagram of the internal structure of a computer according to an embodiment. DETAILED DESCRIPTION

[0068] In order to better understand the purpose, technical solution and technical effect of the present invention, the present invention is further explained below in conjunction with the accompanying drawings and embodiments. At the same time, it is stated that the embodiments described below are only used to explain the present invention and are not used to limit the present invention.

[0069] An embodiment of the present invention provides a method for monitoring ground surface temperature based on a conduction path.

[0070] Figure 1 FIG. 1 is a flow chart of a method for monitoring ground temperature based on a conductive path according to an embodiment of the present invention. Figure 1 As shown, a method for monitoring ground temperature based on a conductive path according to an embodiment of the present invention includes steps S100 to S104:

[0071] S100, obtaining the surface sampling temperature of each geographic node;

[0072] S101, calculating the connection weights between the geographical nodes according to the surface sampling temperature; wherein the connection weights include positive connection weights and negative connection weights;

[0073] S102, establishing a global surface temperature network based on geographic nodes according to the weighted sum direction represented by the connection weight;

[0074] S103, based on the topological structure and connection weights of the global surface temperature network, calculating a set of conduction paths between each geographical node; wherein the conduction path set includes sub-paths of a unit path between each adjacent geographical node;

[0075] S104, dynamically calculating the connection weight of each sub-path, and dividing the sub-path into an available path and a backup path according to the sum of the connection weights; wherein the available path is used to characterize the spatial correlation of the surface temperature.

[0076] Among them, the geographic node includes the selected coordinate position in the global scope. Multiple coordinate positions are selected in the global scope as geographic nodes. Generally, the geographic node is the coordinate position of each meteorological observation point. The surface sampling temperature of each geographic node is completed by reporting the sampled temperature of each meteorological observation point. Adjacent geographic nodes can form a unit path according to a certain direction, and multiple continuous geographic nodes can form a sub-path. According to the path selection of each geographic node, a conduction path set consisting of multiple sub-paths can be generated.

[0077] In one embodiment, the surface sampling temperature includes ambient temperature or standard temperature. The ambient temperature is the temperature data fed back by the room temperature or external temperature acquisition device set at the geographic node. The standard temperature is the secondary processing temperature data based on the ambient temperature of each geographic node based on the same reference system.

[0078] In one embodiment, the standard temperature includes discretized data or normalized data of the ambient temperature.

[0079] In one embodiment, Figure 2 FIG. 1 is a flow chart of a method for monitoring ground temperature based on a conductive path according to another embodiment of the present invention. Figure 2 As shown, after the process of obtaining the surface sampling temperature of each geographical node in step S100, step S200 is also included:

[0080] S200, subtract the daily average temperature value of the corresponding geographic node from the surface sample temperature, and divide it by the standard deviation of the daily average temperature value.

[0081] Remove the differences in surface temperature caused by seasons or time trends at each geographic node. Remove seasonal changes by subtracting the average of calendar days over many years and dividing by its standard deviation, and remove the included age changes. As a preferred implementation, use T i (l) represents the surface sampling temperature of node i, where i or j = 1, 2, 3, ..., 726; l represents the total time, l = (1, 2, 3, ..., 14) × 365; this removes the influence of leap years and months, simplifies the data expression of the surface sampling temperature, and facilitates subsequent calculation processing.

[0082] Through step S200, the surface sampling temperature is standardized, the expression of one of the above standard temperatures is achieved, and the standards for weight calculation and conduction path construction are unified.

[0083] The method of calculating the connection weights between geographical nodes according to the surface sampling temperature is used to characterize the surface sampling temperature differences between different geographical nodes. Based on this, the connection weights are obtained by performing data conversion on the surface sampling temperature differences between different geographical nodes and normalizing the data conversion results.

[0084] In one embodiment, the process of calculating the connection weights between the geographical nodes according to the surface sample temperature in step S101 is as follows:

[0085]

[0086] Among them, T i (l) represents the surface sampling temperature of node i, T j (l) represents the surface sampling temperature of node j, where i or j = 1, 2, 3, ..., 726; l represents the total time, l = (1, 2, 3, ..., 14) × 365; τ represents the time lag, τ = -τ max ,-τ max +1,...,τ max -1,τ max ; Angle brackets indicate the average over time l; X i,j (-τ) and X i,j (τ) represents the correlation coefficient;

[0087] In one embodiment, to avoid edge effects, the range of τ includes 1 to l-τ max , its unit is d.

[0088] Among them, the positive connection weight and negative connection weight are as follows:

[0089]

[0090] Among them, max(X i,j )、min(X i,j ), <X i,j > and σ(X i,j ) represent the maximum value, minimum value, mean value and standard deviation of the correlation coefficient within the range respectively; represents the positive connection weight, represents a negative connection weight.

[0091] Among them, the denominator σ(X i,j ) is used to remove the bias caused by autocorrelation in the time series. As shown in the above formula, the definition For X i,j The maximum value of (τ), that is For X i,j The minimum value of (τ), that is Based on this, the time lags corresponding to the maximum and minimum values ​​are and At the same time, the direction of the connection weight (including positive and negative) can be respectively and Based on this, the global surface temperature network constructed subsequently realizes the dual determination of weighting and direction through connection weights, but the connection of unit paths contains specific time delays.

[0092] In one embodiment, in completing the global surface temperature network, the positive connection weight The maximum correlation coefficient The distance D between the geographical nodes i,j (unit km) Figure 3 As shown. Strong positive and negative weights are associated with short distances (adjacent geographic nodes), indicating close neighbor connections. At the same time, there is a peak in the positive and negative connection weights between the Rossby wavelength of 3500-10000km. The higher short-distance connection weights can be interpreted as proximity-based spatial autocorrelation, while the long-distance connection weights can be evidence of long-distance spatial dependence or teleconnection. No large correlation coefficients are shown at distances of 3500-10000km. This suggests that the chosen geographic node time series may contain strong slow trends or autocorrelations that affect the definition of connectivity. It can be used as an effective representation of connection strength.

[0093] In one embodiment, negative connection weights The maximum correlation coefficient The relationship is as Figure 4 As shown, Figure 4 The distribution characteristics and Figure 3 Same, but with negative connection weights The importance is significantly less than the positive connection weight The corresponding probability is also small and does not change with the change of distance. Compared to the positive connection weight shows less importance, so in this embodiment, the positive connection weight Perform subsequent conduction path set calculations.

[0094] In one embodiment, if Figure 5 As shown, with positive connection weight The data are divided into 5, and the subsequent conduction path research of the global surface temperature network is carried out.

[0095] The spatial distribution of the total weighted degree of the global surface temperature network is consistent with the structure of Rossby waves (eddies), identifying the dominant nodes of the influence and propagation of surface sampled temperature in the inferred network, as well as dense strips in the 40°-60° latitudinal band. First, in the Southern Hemisphere (SH) band, the weighted in-degree (e.g. Figure 6 (b)) than the weighted out-degree (as shown in Figure 6(c) shows a stronger intensity. The atmospheric Rossby wave structure is less obvious in the Northern Hemisphere (NH). In addition, the distribution of weighted degree is structurally similar to the transient heat flux distribution characteristics.

[0096] based on Figure 4-Figure 6 Corresponding features, as a preferred implementation, in order to avoid the proximity effect and identify significant long-distance connections with clear directions, the conductive path set in this embodiment only analyzes geographic node connections with the following characteristics: (1) distance D i,j ≥5000km; (2) Positive connection weight (3) The latitude distance is greater than 20°. Based on this, the number of geographical nodes analyzed in the global surface temperature network is reduced to improve the reference value.

[0097] Based on this, in step S103, various possible conduction path sets are calculated based on the topological structure and connection weights of the global surface temperature network mentioned above. In one embodiment, the degree of dependence of each geographic node on other geographic nodes and the degree of influence on other geographic nodes construct the weighted and total weighted degree model of the global surface temperature network. The directions of connections i and j (i.e., the inbound and outbound connections of the geographic nodes) are defined according to the sign of the time delay, and the connections with zero lag are regarded as bidirectional connections. The inbound (or outbound) weighted degree of each node is defined as the sum of the connection weights of all connections inbound (or outbound) of node i. The weighted degree provides the global statistical characteristics of the node, measures the importance of each geographic node in the constructed network in affecting the average surface temperature, and characterizes the spatial correlation.

[0098] In one embodiment, if Figure 2 As shown, the process of calculating the conduction path set between each geographical node based on the topological structure and connection weight of the global surface temperature network in step S103 includes steps S201 and S202:

[0099] S201, configuring the topology structure of the global surface temperature network as a multi-path transmission network;

[0100] Among them, the topological structure expression of the global surface temperature network is simplified through the approximate configuration of the multi-path transmission network, and a basic network reference is provided for the simulation of the global surface temperature network, which facilitates the calculation of the conduction path.

[0101] S202, configuring a geographical node as a starting port and a geographical node as an ending port, and obtaining a conduction path with a fixed direction of connection weight from the starting port to the ending port as a branch path.

[0102] Based on a reference multi-path transmission network, a conduction path with a fixed connection weight direction is searched, and a conduction path with a positive connection weight direction or a negative connection weight direction is selected to ensure the continuity and uniformity of the temperature influence in the conduction path.

[0103] In one of the embodiments, the connection weight is used as the traffic of the multi-path transmission network, and a conduction path with a fixed connection weight direction is determined according to a traffic distribution algorithm of the multi-path transmission network, thereby reducing the amount of conduction path calculation through approximate simulation.

[0104] In one embodiment, the number of bidirectionally connected geographic nodes in the global surface temperature network is selected, and the number of sub-paths in the conductive path set is determined according to the square of the number. The number in the sub-path set is equal to the square of the number of bidirectionally connected geographic nodes. Based on this, the calculation of the conductive path set is checked by the square number to see if there is an error.

[0105] Based on this, the sub-paths in the conduction path set include multiple unit paths, each unit path corresponds to a connection weight. The sum of the connection weights is calculated through the conduction direction of the sub-paths, and the sub-paths are divided into available paths and spare paths according to the sum of the connection weights.

[0106] In one embodiment, the sum of the connection weights of the available paths is greater than the sum of the connection weights of the backup paths. By extracting the available paths, a fixed path is determined for the spatial correlation of the surface temperature, providing guidance for the calculation of carbon emission space and the allocation of emission reduction responsibilities.

[0107] In one embodiment, if Figure 2 As shown, the process of dynamically calculating the connection weight of each sub-path in step S104 and dividing the sub-path into an available path and a standby path according to the sum of the connection weights includes steps S203 and S204:

[0108] S203, calculating the connection weight of each unit path;

[0109] S204: Based on the sum of the connection weights of the unit paths in each sub-path, each sub-path is managed and scored by a transmission path management algorithm to distinguish between available paths and standby paths.

[0110] Step S203 and step S204 correspond to the topological configuration of the multi-path transmission network, and management scoring is performed according to the transmission path management algorithm to distinguish between available paths and backup paths in a specific manner.

[0111] In one embodiment, in step S204, the process of managing and scoring each sub-path based on the sum of the connection weights of the unit paths in each sub-path by using a transmission path management algorithm to distinguish between available paths and backup paths is as follows:

[0112] IF={M i}

[0113]

[0114] TP:={TP 1 ,TP 2 ,...,TP i}

[0115] Among them, M i It represents the management score, and TP represents the connection weight set of each unit path.

[0116] Based on this, the larger the management score, the higher the sum of the representation connection weights, and the more obvious the temperature influence of each geographical node in the conduction path.

[0117] In one embodiment, to match Figure 6 Positive connection weights shown The geographical nodes are selected, and the sub-paths with management scores greater than 0 are used as available paths, and the sub-paths with management scores less than 0 are used as backup paths, so as to distinguish positive connections from negative connections. As a better way, the sub-paths with management scores greater than X are used as available paths. Among them, X is greater than 2.

[0118] In one embodiment, Figure 7 FIG. 1 is a flow chart of a method for monitoring ground temperature based on a conductive path according to another embodiment of the present invention. Figure 7 As shown, another embodiment of the ground surface temperature monitoring method based on the conduction path further includes steps S300 to S303:

[0119] S300, obtaining updated surface sampling temperature;

[0120] S301, detecting whether a new geographical node is added to the backup path according to the updated surface sampling temperature;

[0121] The connection weights are recalculated based on the updated surface sampling temperature, and a comparison is made before and after the update to see whether new geographic nodes are added to the backup path.

[0122] In one embodiment, when the difference in the number of geographical nodes between two conductive paths (sub-paths) before and after the update is less than 3, the conductive path with the larger number of geographical nodes is determined to have the extra geographical nodes as new nodes.

[0123] S302, when a new geographical node is added to the backup path, calculating the gain of the backup path;

[0124] In one embodiment, the process of calculating the gain of the backup path in step S302 is as follows:

[0125]

[0126] in, ω is a variable parameter with an empirical value of 0.9; ΔT represents the time difference before and after the surface sampling temperature is updated;

[0127] T putmax =max(T put1 ,T put2 ,...,T putz ); z represents multiple geographical nodes with the highest connection weight;

[0128] It represents the average value of the connection weights associated with the new geographic node i after the i-th new geographic node is added;

[0129] Represents the updated sum of the connection weights of the backup path.

[0130] S303: When the gain is greater than the preset gain, convert the standby path into an available path.

[0131] In one embodiment, the preset gain is greater than 0 and less than 1.

[0132] Through the configuration of step S300 to step S303, the conversion from the standby path to the available path is realized, so as to dynamically adjust each branch path and realize the dynamic reference of the conduction path.

[0133] In any of the above-mentioned embodiments, the surface temperature monitoring method based on the conduction path, after obtaining the surface sampling temperature of each geographic node, calculates the connection weights between each geographic node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographic node according to the weighted and direction represented by the connection weights. Further, based on the topological structure and connection weights of the global surface temperature network, the conduction path set between each geographic node is calculated, and the connection weights of each sub-path are dynamically calculated, and the sub-paths are divided into available paths and backup paths according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographic node is determined, and the conduction path is used to provide an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation.

[0134] The embodiment of the present invention also provides a ground surface temperature monitoring device based on a conduction path.

[0135] Figure 8 FIG. 1 is a module structure diagram of a surface temperature monitoring device based on a conduction path according to an embodiment of the present invention. Figure 8As shown, a surface temperature monitoring device based on a conductive path according to an embodiment includes a temperature acquisition module 100, a weight calculation module 101, a network construction module 102, a path analysis module 103 and a path differentiation module 104:

[0136] The temperature acquisition module 100 is used to obtain the surface sampling temperature of each geographical node;

[0137] The weight calculation module 101 is used to calculate the connection weights between the geographical nodes according to the surface sampling temperature; wherein the connection weights include positive connection weights and negative connection weights;

[0138] A network construction module 102 is used to establish a global surface temperature network based on geographic nodes according to the weighted and directional representations of the connection weights;

[0139] The path analysis module 103 is used to calculate the conduction path set between each geographical node based on the topological structure and connection weight of the global surface temperature network; wherein the conduction path set includes sub-paths of the unit path between each adjacent geographical node;

[0140] The path differentiation module 104 is used to dynamically calculate the connection weight of each sub-path, and divide the sub-path into an available path and a spare path according to the sum of the connection weights; wherein the available path is used to characterize the spatial correlation of the surface temperature.

[0141] The above-mentioned surface temperature monitoring device based on the conduction path, after obtaining the surface sampling temperature of each geographical node, calculates the connection weights between each geographical node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographical node according to the weighted and direction represented by the connection weight. Furthermore, based on the topological structure and connection weight of the global surface temperature network, the conduction path set between each geographical node is calculated, and the connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographical node is determined, and the conduction path is used to provide an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation.

[0142] An embodiment of the present invention further provides a computer storage medium on which computer instructions are stored. When the instructions are executed by a processor, the surface temperature monitoring method based on the conduction path of any of the above embodiments is implemented.

[0143] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0144] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the relevant technology. The computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, RAM, ROM, magnetic disks or optical disks.

[0145] Corresponding to the above-mentioned computer storage medium, in one embodiment, a computer device is also provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any one of the surface temperature monitoring methods based on the conduction path in the above-mentioned embodiments is implemented.

[0146] The computer device may be a terminal, and its internal structure diagram may be as follows: Fig. 9As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a surface temperature monitoring method based on a conduction path is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0147] After obtaining the surface sampling temperature of each geographic node, the above-mentioned computer device calculates the connection weights between each geographic node according to the surface sampling temperature, and establishes a global surface temperature network based on the geographic node according to the weighted and direction represented by the connection weight. Further, based on the topological structure and connection weight of the global surface temperature network, the conduction path set between each geographic node is calculated, and the connection weight of each sub-path is dynamically calculated, and the sub-path is divided into an available path and a backup path according to the sum of the connection weights. Among them, the available path is used to characterize the spatial correlation of the surface temperature. Based on this, the spatial correlation of the surface temperature between each geographic node is determined, and the conduction path is used to provide an intuitive spatial reference. At the same time, by distinguishing between available paths and backup paths, it is convenient to adjust the range of available paths according to the real-time dynamic surface sampling temperature, thereby improving the time reference value of spatial correlation.

[0148] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0149] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A surface temperature monitoring method based on a conduction path, characterized in that: Includes steps: Get the surface sampling temperature of each geographic node; Calculating the connection weights between the geographical nodes according to the surface sampling temperature; wherein the connection weights include positive connection weights and negative connection weights; Establishing a global surface temperature network based on the geographic nodes according to the weighted and direction represented by the connection weights; Based on the topological structure of the global surface temperature network and the connection weights, a conduction path set between each geographical node is calculated; wherein the conduction path set includes sub-paths of a unit path between each adjacent geographical node; Dynamically calculating the connection weight of each sub-path, and dividing the sub-path into an available path and a spare path according to the sum of the connection weights; wherein the available path is used to characterize the spatial correlation of the surface temperature; The process of dynamically calculating the connection weight of each sub-path and dividing the sub-path into an available path and a standby path according to the sum of the connection weights comprises the following steps: Calculate the connection weight of each unit path; Based on the sum of the connection weights of the unit paths in each sub-path, each sub-path is managed and scored by a transmission path management algorithm to distinguish between the available path and the standby path; The process of managing and scoring each sub-path based on the sum of the connection weights of the unit paths in each sub-path by using a transmission path management algorithm to distinguish between the available path and the standby path is as follows: IF={M i } TP={TP1,TP2,...,TP i } Among them, i It represents the management score, and TP represents the connection weight set of each unit path.

2. The method for monitoring ground temperature based on a conductive path according to claim 1, characterized in that: After the process of obtaining the surface sampling temperature of each geographical node, the following steps are also included: The surface sample temperature is subtracted from the daily average temperature value of the corresponding geographic node and divided by the standard deviation of the daily average temperature value.

3. The method for monitoring ground temperature based on a conductive path according to claim 1, characterized in that: The process of calculating the connection weights between the geographical nodes according to the surface sampling temperature is as follows: Among them, T i (l) represents the surface sampling temperature of node i, T j (l) represents the surface sampling temperature of node j, where i or j = 1, 2, 3, ..., 726; l represents the total time, l = (1, 2, 3, ..., 14) × 365; τ represents the time lag, τ = -τ max ,-τ max +1,...,τ max -1,τ max ; Angle brackets < > denote the average over time l; X i,j (-τ) and X i,j (τ) represents the correlation coefficient; Wherein, the positive connection weight and the negative connection weight are as follows: Among them, max(X i,j )、min(X i,j ), <X i,j > and σ(X i,j ) represent the maximum value, minimum value, mean value and standard deviation of the correlation coefficient within the range respectively; represents the positive connection weight, represents the negative connection weight.

4. The method for monitoring ground temperature based on a conductive path according to claim 1, characterized in that: The process of calculating the set of conduction paths between geographical nodes based on the topological structure of the global surface temperature network and the connection weights comprises the steps of: Configuring the topology of the global surface temperature network as a multi-path transmission network; A geographical node as a start port and a geographical node as an end port are configured, and a conduction path with a fixed direction of connection weight from the start port to the end port is obtained as the branch path.

5. The method for monitoring ground surface temperature based on a conductive path according to claim 1, characterized in that: The sub-path with the management score greater than 0 is the available path, and the sub-path with the management score less than 0 is the standby path.

6. A surface temperature monitoring device based on a conduction path, characterized in that: include: The temperature acquisition module is used to obtain the surface sampling temperature of each geographic node; A weight calculation module, used to calculate the connection weights between the geographical nodes according to the surface sampling temperature; wherein the connection weights include positive connection weights and negative connection weights; A network construction module, for establishing a global surface temperature network based on the geographic nodes according to the weighted and directional representations of the connection weights; A path analysis module, for calculating a set of conduction paths between geographical nodes based on the topological structure of the global surface temperature network and the connection weights; wherein the set of conduction paths includes sub-paths of a unit path between adjacent geographical nodes; A path differentiation module, used for dynamically calculating the connection weight of each sub-path, and dividing the sub-path into an available path and a spare path according to the sum of the connection weights; wherein the available path is used to characterize the spatial correlation of the surface temperature; The process of dynamically calculating the connection weight of each sub-path and dividing the sub-path into an available path and a standby path according to the sum of the connection weights comprises the following steps: Calculate the connection weight of each unit path; Based on the sum of the connection weights of the unit paths in each sub-path, each sub-path is managed and scored by a transmission path management algorithm to distinguish between the available path and the standby path; The process of managing and scoring each sub-path based on the sum of the connection weights of the unit paths in each sub-path by using a transmission path management algorithm to distinguish between the available path and the standby path is as follows: IF={M i } TP={TP1,TP2,...,TP i } Among them, i It represents the management score, and TP represents the connection weight set of each unit path.

7. A computer storage medium having computer instructions stored thereon, characterized in that: When the computer instructions are executed by a processor, the surface temperature monitoring method based on a conduction path as described in any one of claims 1 to 5 is implemented.

8. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the surface temperature monitoring method based on the conduction path as described in any one of claims 1 to 5 is implemented.

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