CN114036786B - Ground surface temperature monitoring method and device based on conduction path - Google Patents
Ground surface temperature monitoring method and device based on conduction path Download PDFInfo
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Abstract
The invention relates to a ground surface temperature monitoring method and a device based on a conduction path, after the ground surface sampling temperature of each geographical node is obtained, and calculating the connection weight among the geographic nodes according to the ground surface sampling temperature, and establishing a global ground surface temperature network based on the geographic nodes according to the weighted sum direction of the connection weight characterization. Based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each branch path is dynamically calculated, and the branch paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
Description
Technical Field
The invention relates to the technical field of weather climate application, in particular to a ground surface temperature monitoring method and device based on a conduction path.
Background
With the development of the industrial age, the use of fossil energy has an influence on the global climate environment, most notably the global temperature rise caused by the increase of carbon dioxide concentration. Wherein, the change of the surface temperature of each area is also different due to the unbalance of the industrial distribution, and the surface temperature of each area generates spatial correlation with time and climate change. Therefore, the surface temperature change has a positive effect on the monitoring and analysis of the surface temperature.
At present, the research and monitoring of the spatial correlation between the surface temperatures of all the places of the world has an important guiding effect on the measurement and calculation of the future carbon emission space and the allocation of emission reduction responsibility of the main world, and is beneficial to improving the scientificity of the carbon emission space allocation principle adopted by international climate negotiation. However, the change law of the surface temperature of each place is very complex due to the climate difference, the industrial development difference and the like of each place worldwide, and it is difficult to monitor or establish the spatial correlation of the surface temperature of different places.
Disclosure of Invention
Based on the above, it is necessary to provide a method and a device for monitoring the surface temperature based on a conduction path, which are used for overcoming the defect that the prior art is difficult to monitor or establish the spatial correlation of the surface temperatures of different areas.
A conductive path-based surface temperature monitoring method comprising the steps of:
acquiring the earth surface sampling temperature of each geographical node;
calculating the connection weight among the geographic nodes according to the ground surface sampling temperature, wherein the connection weight comprises a positive connection weight and a negative connection weight;
Establishing a global surface temperature network based on geographical nodes according to the weighted sum direction of the connection weight characterization;
Calculating a conduction path set between each geographic node based on the topology structure and the connection weight of the global surface temperature network, wherein the conduction path set comprises shunt paths of unit paths between each adjacent geographic node;
And dynamically calculating the connection weight of each branch path, and dividing the branch paths into available paths and standby paths according to the sum of the connection weights, wherein the available paths are used for representing the spatial correlation of the surface temperature.
According to the earth surface temperature monitoring method based on the conduction path, after the earth surface sampling temperature of each geographic node is obtained, the connection weight among the geographic nodes is calculated according to the earth surface sampling temperature, and a global earth surface temperature network based on the geographic nodes is established according to the weighted sum direction of the connection weight representation. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
In one embodiment, the surface sampling temperature comprises an ambient temperature or a standard temperature, and the standard temperature comprises discretized or normalized data of the ambient temperature.
In one embodiment, after the process of obtaining the surface sampling temperature of each geographical node, the method further comprises the steps of:
The surface sampling temperature is subtracted by the daily average temperature value for the corresponding geographical node and divided by the standard deviation of the daily average temperature value.
In one embodiment, the process of calculating the connection weight between the geographical nodes according to the surface sampling temperature is as follows:
Wherein T i (l) represents the surface sampling temperature of node i, T j (l) represents the surface sampling temperature of node j, wherein i or j=1, 2,3,..726; l represents the total time, l= (1, 2,3,..14). Times.365; τ represents the time lag, τ= - τ max,-τmax+1,...,τmax-1,τmax; the angle brackets represent the average over time l; X i,j (- τ) and X i,j (τ) represent the correlation coefficients;
wherein the positive connection weight and the negative connection weight are as follows:
Wherein max (X i,j)、min(Xi,j)、<Xi,j > and σ (X i,j) represent the maximum value, minimum value, average value, and standard deviation, respectively, of the correlation coefficient in the range; Indicating that the weight of the connection is positive, Representing a negative connection weight.
In one embodiment, the range of τ includes 1~l- τ max.
In one embodiment, the distance D i,j between the geographical nodes is calculated to be more than or equal to 5000km, and the weight is connectedAnd the conducting path is formed by geographic nodes with the latitude distance of more than 20 degrees and more than or equal to 5.
In one embodiment, a process for calculating a set of conductive paths between geographical nodes based on topology and connection weights of a global surface temperature network, comprising the steps of:
configuring a topology of a global surface temperature network as a multipath transmission network;
And configuring a geographic node serving as a starting port and a geographic node serving as an ending port, and acquiring a conduction path with a fixed direction of a connection weight from the starting port to the ending port as a sub-path.
In one embodiment, a number of bi-directionally connectable geographical nodes in the global surface temperature network is selected, and a number of shunt paths within the set of conductive paths is determined based on the square of the number.
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:
Calculating the connection weight of each unit path;
And performing management scoring on each branch path through a transmission path management algorithm based on the sum of the connection weights of the unit paths in each branch path so as to distinguish an available path and a standby path.
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.
In one embodiment, the management scoring is performed on each branch path by a transmission path management algorithm based on the sum of the connection weights of the unit paths in each branch path to distinguish between an available path and a standby path, and the following formula is adopted:
IF={Mi}
TP:={TP1,TP2,...,TPi}
Where M i denotes a management score, and TP denotes a connection weight set of each unit path.
In one embodiment, a scoring path with a management scoring score greater than 0 is an available path, and a scoring path with a management scoring score less than 0 is a standby path.
In one embodiment, the method further comprises the steps of:
acquiring updated earth surface sampling temperature;
Detecting whether a new geographic node is added to the standby path according to the updated earth surface sampling temperature;
when a new geographical node is added to the standby path, calculating the gain of the standby path;
and when the gain is larger than the preset gain, converting the standby path into an available path.
In one embodiment, the process of calculating the gain of the backup path is as follows:
wherein, Omega is a variable parameter, and the empirical value is 0.9, wherein DeltaT represents the time difference before and after the surface sampling temperature is updated;
T putmax＝max(Tput1,Tput2,...,Tputz), z represents a plurality of geographic nodes with highest connection weights;
Representing the average value of the connection weights related to the new geographic node i after the i new geographic node is added;
Representing the updated sum of the connection weights for the backup path.
A conductive path-based surface temperature monitoring device, comprising:
The temperature acquisition module is used for acquiring the earth surface sampling temperature of each geographical node;
the weight calculation module is used for calculating the connection weight among the geographic nodes according to the ground surface sampling temperature, wherein the connection weight comprises a positive connection weight and a negative connection weight;
the network construction module is used for establishing a global surface temperature network based on geographic nodes according to the weighted sum direction of the connection weight characterization;
The path analysis module is used for calculating a conduction path set between each two geographic nodes based on the topological structure and the connection weight of the global surface temperature network, wherein the conduction path set comprises a branching path of a unit path between every two adjacent geographic nodes;
The path distinguishing module is used for dynamically calculating the connection weight of each branch path and dividing the branch paths into available paths and standby paths according to the sum of the connection weights, wherein the available paths are used for representing the spatial correlation of the surface temperature.
According to the earth surface temperature monitoring device based on the conduction path, after the earth surface sampling temperature of each geographic node is obtained, the connection weight among the geographic nodes is calculated according to the earth surface sampling temperature, and a global earth surface temperature network based on the geographic nodes is established according to the weighted sum direction of the connection weight representation. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
A computer storage medium having stored thereon computer instructions which, when executed by a processor, implement the conductive path based surface temperature monitoring method of any of the above embodiments.
The computer storage medium is used for calculating the connection weight among the geographic nodes according to the ground surface sampling temperature after the ground surface sampling temperature of each geographic node is obtained, and establishing a global ground surface temperature network based on the geographic nodes according to the weighted sum direction of the connection weight representation. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the conductive path-based surface temperature monitoring method of any of the above embodiments when the program is executed by the processor.
The computer equipment calculates the connection weight among the geographic nodes according to the ground surface sampling temperature after acquiring the ground surface sampling temperature of each geographic node, and establishes a global ground surface temperature network based on the geographic nodes according to the weighted sum direction of the connection weight representation. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
Drawings
FIG. 1 is a flow chart of a conductive path-based surface temperature monitoring method according to one embodiment;
FIG. 2 is a flow chart of another embodiment conductive path based surface temperature monitoring method;
FIG. 3 is a graph of forward connection weight versus geographic inter-node distance;
FIG. 4 is a graph of negative connection weight versus geographic inter-node distance;
FIG. 5 is a schematic diagram of a positive connection weight threshold;
FIG. 6 is a diagram of total weighting, weighted ingress and weighted egress;
FIG. 7 is a flow chart of a method of conducting path based surface temperature monitoring in accordance with yet another embodiment;
FIG. 8 is a block diagram of a conductive path-based surface temperature monitoring device module according to one embodiment;
fig. 9 is a schematic diagram of an internal configuration of a computer according to an embodiment.
Detailed Description
For a better understanding of the objects, technical solutions and technical effects of the present invention, the present invention will be further explained below with reference to the drawings and examples. Meanwhile, it is stated that the embodiments described below are only for explaining the present invention and are not intended to limit the present invention.
The embodiment of the invention provides a ground surface temperature monitoring method based on a conduction path.
Fig. 1 is a flowchart of a conductive path-based surface temperature monitoring method according to an embodiment, as shown in fig. 1, and the conductive path-based surface temperature monitoring method according to an embodiment includes steps S100 to S104:
s100, acquiring the earth surface sampling temperature of each geographical node;
S101, calculating connection weights among all the geographic nodes according to the ground surface sampling temperature, wherein the connection weights comprise positive connection weights and negative connection weights;
s102, establishing a global surface temperature network based on geographical nodes according to the weighted sum direction of the connection weight characterization;
S103, calculating a conduction path set between each two geographic nodes based on the topological structure and the connection weight of the global surface temperature network, wherein the conduction path set comprises a branching path of a unit path between each two adjacent geographic nodes;
s104, dynamically calculating the connection weight of each branch path, and dividing the branch paths into available paths and standby paths according to the sum of the connection weights, wherein the available paths are used for representing the spatial correlation of the surface temperature.
Wherein the geographic node comprises a selected coordinate location worldwide. And selecting a plurality of coordinate positions as geographic nodes on the global scale. Typically, a geographic node is the coordinate location of each meteorological observation point. And reporting the sampling temperature of each meteorological observation point to finish the earth surface sampling temperature of each geographical node. Adjacent geographic nodes can form a unit path according to a certain direction, and a plurality of continuous geographic nodes can form a sub-path. Based on the path selection of each geographical node, a set of conductive paths may be generated that are made up of multiple shunt paths.
In one embodiment, the surface sampling temperature includes an ambient or standard temperature. The ambient temperature is the temperature data fed back by the room temperature or external temperature acquisition equipment arranged at the geographical node. The standard temperature is secondary processing temperature data based on the environmental temperature of each geographical node under the same reference system.
In one embodiment, the standard temperature includes discretized or normalized data of the ambient temperature.
In one example, fig. 2 is a flowchart of another embodiment of a conductive path-based surface temperature monitoring method, and as shown in fig. 2, after the process of obtaining the surface sampling temperature of each geographical node in step S100, the method further includes step S200:
s200, subtracting the daily average temperature value of the corresponding geographical node from the surface sampling temperature, and dividing the daily average temperature value by the standard deviation of the daily average temperature value.
And removing the difference brought by the season or time trend in the surface sampling temperature to each geographic node. Seasonal changes are removed by subtracting the average of the calendar days of the years and dividing by its standard deviation, and the included age changes are removed. As a preferred embodiment, the earth surface sampling temperature of the node i is represented by T i (l), wherein i or j=1, 2,3, 726 represents total time, l= (1, 2,3, 14) x 365, so that the influence of leap years and months is removed, the data expression of the earth surface sampling temperature is simplified, and the subsequent calculation processing is facilitated.
Through step S200, standardized processing of the surface sampling temperature is realized, expression of one of the above standard temperatures is realized, and standards of weight calculation and conduction path construction are unified.
The method is used for representing the difference of the earth surface sampling temperatures among different geographic nodes in a mode of calculating the connection weight among the geographic nodes according to the earth surface sampling temperatures. Based on the data, the ground surface sampling temperature difference among different geographic nodes is subjected to data conversion, and each data conversion result is normalized, so that the connection weight is obtained.
In one embodiment, in step S101, a process of calculating a connection weight between each geographical node according to a surface sampling temperature is as follows:
Wherein T i (l) represents the surface sampling temperature of node i, T j (l) represents the surface sampling temperature of node j, wherein i or j=1, 2,3,..726; l represents the total time, l= (1, 2,3,..14). Times.365; τ represents the time lag, τ= - τ max,-τmax+1,...,τmax-1,τmax; the angle brackets represent the average over time l; X i,j (- τ) and X i,j (τ) represent the correlation coefficients;
In one embodiment, to avoid edge effects, the range of τ includes 1~l- τ max, which is in units of d.
Wherein the positive connection weight and the negative connection weight are as follows:
Wherein max (X i,j)、min(Xi,j)、<Xi,j > and σ (X i,j) represent the maximum value, minimum value, average value, and standard deviation, respectively, of the correlation coefficient in the range; Indicating that the weight of the connection is positive, Representing a negative connection weight.
Wherein the processing of denominator σ (X i,j) is used to remove the bias caused by autocorrelation in the time series. As shown in the above formula, defineAt the maximum of X i,j (τ), i.e At a minimum of X i,j (τ), i.eBased on this, the time lags corresponding to the maximum value and the minimum value are respectivelyAndMeanwhile, the directions (including positive direction and negative direction) of the connection weights can be respectively determined byAndIs defined by the sign of (c). Based on the above, the subsequently constructed global surface temperature network realizes double determination of weighting and direction through the connection weight, but the connection of unit paths all contains specific time lags.
In one embodiment, the weights are being connected during the completion of the global surface temperature networkMaximum correlation coefficientThe relationship between the connection distance D i,j (in km) and the geographical node is shown in fig. 3. Strong positive and negative weights are associated with short distances (neighboring geographical nodes), indicating neighbor connections. Meanwhile, a peak value exists between the positive and negative connection weights at Rossby wavelength 3500-10000 km. Higher short-range connection weights may be interpreted as based on proximity-based spatial autocorrelation, while long-range connection weights may be evidence of long-range spatial dependence or distant correlation. Does not exhibit a large correlation coefficient at a distance of 3500-10000kmThis suggests that the selected time series of geographical nodes may contain strong slow trends or autocorrelation that have an impact on the connection definition,Can be used as an effective characterization of the connection strength.
In one embodiment, the negative connection weightCorrelation coefficient with maximumAs shown in FIG. 4, the distribution characteristics of FIG. 4 are the same as those of FIG. 3, but with negative connection weightsIs significantly less important than the positive connection weightThe corresponding probability is also small and does not change with the change of distance. Due to the negative connection weightCompared to the positive connection weightExhibit less importance, and therefore, in the present embodiment, the weight is positively connectedSubsequent conductive path set calculations are performed.
In one embodiment, as shown in FIG. 5, the weights are positively connectedA division of 5 was made and a subsequent conduction path study of the global surface temperature network was performed.
Wherein the spatial distribution of global surface temperature network total weighting is consistent with the structure of Rossby waves (vortices), determining dominant nodes of surface sampling temperature effects and propagation in the inferred network, and dense bands within 40 ° -60 ° latitudinal bands. First, in the Southern Hemisphere (SH) band, the weighted input (as shown in fig. 6 (b)) is stronger than the weighted output (as shown in fig. 6 (c)). The atmospheric Rossby wave structure is less pronounced in the Northern Hemisphere (NH). Furthermore, the weighting is distributed in a similar manner in structure to the transient heat flux distribution characteristics.
Based on the features corresponding to fig. 4-6, as a preferred embodiment, to avoid proximity effects, identify significant long-distance connections with explicit directions, the set of conductive paths in this example only analyze geographic node connections with (1) distances D i,j > 5000km, (2) positive connection weights(3) The latitude distance is greater than 20 °. Based on the method, the number of the geographical node analysis of the global surface temperature network is reduced, and the reference value is improved.
Based on this, in step S103, various possible conductive path set calculations are performed based on the topology and connection weights of the global surface temperature network described above. In one embodiment, the degree of dependence of each geographical node on other geographical nodes and the degree of influence of each geographical node on other geographical nodes construct a weighted sum total weighting pattern of the global surface temperature network. The direction of connections i and j (i.e., the ingress and egress connections of the geographical node) is defined in terms of the sign of the delay and the connection with zero hysteresis is taken as a bi-directional connection. The ingress (or egress) weighting of each node is defined as the sum of the connection weights of all connections that are ingress (or egress) at node i. The weighting degree provides global statistical characteristics of the nodes, and measures the importance of each geographical node on the average surface temperature in the constructed network, and characterizes the spatial correlation.
In one embodiment, as shown in fig. 2, the process of calculating the set of conductive paths between the geographical nodes in step S103 based on the topology and the connection weight of the global surface temperature network includes steps S201 and S202:
S201, configuring a topological structure of a global surface temperature network as a multipath transmission network;
The topological structure expression of the global surface temperature network is simplified through the approximate configuration of the multipath transmission network, and a basic network reference is provided for the simulation of the global surface temperature network, so that the conduction path calculation is facilitated.
S202, configuring a geographic node serving as a start port and a geographic node serving as an end port, and acquiring a conduction path with a fixed connection weight direction from the start port to the end port as a sub-path.
Based on a referenceable multipath transmission network, searching the conduction path with the fixed connection weight direction, determining the conduction path selection of one of the positive connection weight direction and the negative connection weight direction, and ensuring the continuity and unification of the temperature influence in the conduction path.
In one embodiment, the connection weight is used as the flow of the multi-path transmission network, and the conduction path with fixed connection weight direction is determined according to the flow distribution algorithm of the multi-path transmission network, so that the calculation amount of the conduction path is reduced through approximate simulation.
In one embodiment, a number of bi-directionally connectable geographical nodes in the global surface temperature network is selected, and a number of shunt paths within the set of conductive paths is determined based on the square of the number. Wherein the number in the set of paths is equal to the square of the number of bi-directionally connectable geographical nodes. Based on this, it is checked by square number whether there is an error in the calculation of the conduction path set.
Based on this, the shunt paths within the conductive path set include a plurality of cell paths, each cell path corresponding to a connection weight. And calculating the sum of the connection weights through the conduction directions of the branch paths, and dividing the branch paths into available paths and standby paths according to the sum of the connection weights.
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. The available paths are extracted and determined, a fixed path is determined for the space correlation of the surface temperature, and guidance references are provided for the calculation of the carbon emission space and the allocation of emission reduction responsibility.
In one embodiment, as shown in fig. 2, the process of dynamically calculating the connection weight of each split path and dividing the split path into the available path and the standby path according to the sum of the connection weights in step S104 includes step S203 and step S204:
s203, calculating the connection weight of each unit path;
s204, based on the sum of the connection weights of the unit paths in each sub-path, management scoring is carried out on each sub-path through a transmission path management algorithm so as to distinguish the available path and the standby path.
Step S203 and step S204 correspond to the topology configuration of the multipath transmission network, and perform management scoring according to the transmission path management algorithm to distinguish the available paths and the standby paths in a specific manner.
In one embodiment, in step S204, the process of classifying the available paths and the standby paths by the transmission path management algorithm to perform management scoring on each split path based on the sum of the connection weights of the unit paths in each split path is as follows:
IF={Mi}
TP:={TP1,TP2,...,TPi}
Where M i denotes a management score, and TP denotes a connection weight set of each unit path.
Based on this, the higher the management scoring score, the highest the sum of the characterization connection weights, and the more pronounced the temperature impact of each geographical node within the conductive path.
In one embodiment, to match the positive connection weights shown in FIG. 6And (3) taking the branch paths with the management score being greater than 0 as available paths and taking the branch paths with the management score being less than 0 as standby paths, so as to distinguish positive connection from negative connection. As a preferred way, a path of the branch having a management score greater than X is taken as the available path. Wherein X is greater than 2.
In one example, fig. 7 is a flowchart of a conductive path-based surface temperature monitoring method according to another embodiment, as shown in fig. 7, where the conductive path-based surface temperature monitoring method according to another embodiment further includes steps S300 to S303:
s300, acquiring updated earth surface sampling temperature;
S301, detecting whether a new geographic node is added to the standby path according to the updated earth surface sampling temperature;
And (3) re-calculating the connection weight according to the updated earth surface sampling temperature, and comparing whether a standby path has new geographic nodes before and after updating.
In one embodiment, when the difference number of the geographic nodes of the two conducting paths (the branching paths) before and after updating is smaller than 3, it is determined that the plurality of geographic nodes are new nodes in the conducting paths with larger geographic nodes.
S302, when a new geographical node is added to the standby path, calculating the gain of the standby path;
in one embodiment, the process of calculating the gain of the standby path in step S302 is as follows:
wherein, Omega is a variable parameter, and the empirical value is 0.9, wherein DeltaT represents the time difference before and after the surface sampling temperature is updated;
T putmax＝max(Tput1,Tput2,...,Tputz), z represents a plurality of geographic nodes with highest connection weights;
Representing the average value of the connection weights related to the new geographic node i after the i new geographic node is added;
Representing the updated sum of the connection weights for the backup path.
S303, when the gain is larger than the preset gain, the standby path is converted into an available path.
In one embodiment, the preset gain is greater than 0 and less than 1.
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 sub-path and realize the dynamic reference of the conductive path.
According to the earth surface temperature monitoring method based on the conduction path, after the earth surface sampling temperature of each geographic node is obtained, the connection weight among the geographic nodes is calculated according to the earth surface sampling temperature, and a global earth surface temperature network based on the geographic nodes is established according to the weighted sum direction of the connection weight characterization. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
The embodiment of the invention also provides a ground surface temperature monitoring device based on the conduction path.
Fig. 8 is a block diagram of a conductive path-based surface temperature monitoring device according to an embodiment, and as shown in fig. 8, the conductive path-based surface temperature monitoring device 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 differentiating module 104:
The temperature acquisition module 100 is used for acquiring the earth surface sampling temperature of each geographical node;
The weight calculation module 101 is used for calculating the connection weight among the geographic nodes according to the ground surface sampling temperature, wherein the connection weight comprises a positive connection weight and a negative connection weight;
the network construction module 102 is used for building a global surface temperature network based on geographic nodes according to the weighted sum direction of the connection weight characterization;
a path analysis module 103 for calculating a set of conductive paths between each geographical node based on the topology and the connection weight of the global surface temperature network, wherein the set of conductive paths includes shunt paths of unit paths between each adjacent geographical node;
The path differentiating module 104 is configured to dynamically calculate a connection weight of each split path, and divide the split paths into an available path and a standby path according to a sum of the connection weights, where the available path is used to characterize a spatial correlation of the surface temperature.
According to the earth surface temperature monitoring device based on the conduction path, after the earth surface sampling temperature of each geographic node is obtained, the connection weight among the geographic nodes is calculated according to the earth surface sampling temperature, and a global earth surface temperature network based on the geographic nodes is established according to the weighted sum direction of the connection weight representation. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
The embodiment of the invention also provides a computer storage medium, on which computer instructions are stored, which when executed by a processor, implement the conduction path-based surface temperature monitoring method of any of the above embodiments.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program, which may be stored on a non-transitory computer readable storage medium and which, when executed, may comprise the steps of the above-described embodiments of the methods. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of 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), among others.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be essentially or part contributing to the related art, and the computer software product may be stored in a storage medium, and include several instructions to cause a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the methods of the embodiments of the present invention. The storage medium includes various media capable of storing program codes such as a removable storage device, a RAM, a ROM, a magnetic disk or an optical disk.
Corresponding to the above computer storage medium, in one embodiment there is also provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the conductive path based surface temperature monitoring method of any of the above embodiments when the program is executed by the processor.
The computer device may be a terminal, and its internal structure may be as shown in fig. 9. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured 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 computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a conductive path based surface temperature monitoring method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
The computer equipment calculates the connection weight among the geographic nodes according to the ground surface sampling temperature after acquiring the ground surface sampling temperature of each geographic node, and establishes a global ground surface temperature network based on the geographic nodes according to the weighted sum direction of the connection weight representation. Further, based on the topology structure and the connection weight of the global surface temperature network, a conduction path set between each two geographic nodes is calculated, the connection weight of each sub-path is dynamically calculated, and the sub-paths are divided into available paths and standby paths according to the sum of the connection weights. Wherein the available paths are used to characterize the spatial correlation of the surface temperature. Based thereon, spatial correlation of surface temperatures between geographical nodes is determined and visual spatial reference is provided in terms of conductive paths. Meanwhile, the available paths and the standby paths are distinguished, so that the range of the available paths can be conveniently adjusted according to the real-time dynamic ground surface sampling temperature, and the time reference value of the spatial correlation is improved.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (8)
1. A method for monitoring surface temperature based on a conductive path, comprising the steps of:
acquiring the earth surface sampling temperature of each geographical node;
calculating the connection weight among the geographic nodes according to the earth surface sampling temperature, wherein the connection weight comprises a positive connection weight and a negative connection weight;
Establishing a global surface temperature network based on the geographic nodes according to the weighted sum direction of the connection weight characterization;
Calculating a conduction path set between each geographic node based on the topology structure of the global surface temperature network and the connection weight, wherein the conduction path set comprises a shunt path of a unit path between each adjacent geographic node;
Dynamically calculating the connection weight of each branch path, and dividing the branch paths into available paths and standby paths according to the sum of the connection weights, wherein the available paths are used for representing 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:
Calculating the connection weight of each unit path;
Management scoring is carried out on each branch path through a transmission path management algorithm based on the sum of the connection weights of unit paths in each branch path so as to distinguish the available path from the standby path;
and the management scoring is carried out on each branch path through a transmission path management algorithm based on the sum of the connection weights of the unit paths in each branch path so as to distinguish the available path and the standby path, wherein the process comprises the following formula:
IF={Μi}
TP={TP1,TP2,...,TPi}
Wherein, Μ i represents the management scoring score, and TP represents the connection weight set of each unit path.
2. The conductive path-based surface temperature monitoring method of claim 1, further comprising the step, after the process of obtaining the surface sampling temperature for each geographical node:
subtracting the daily average temperature value of the corresponding geographical node from the surface sampling temperature, and dividing the daily average temperature value by the standard deviation of the daily average temperature value.
3. The conduction path-based surface temperature monitoring method of claim 1, wherein the process of calculating the connection weight between the geographical nodes from the surface sampling temperature is as follows:
wherein T i (l) represents the surface sampling temperature of node i, T j (l) represents the surface sampling temperature of node j, wherein i or j=1, 2,3,..726; l represents the total time, l= (1, 2,3,..14). Times.365; τ represents the time lag, τ= - τ max,-τmax+1,...,τmax-1,τmax; the angle brackets < > represent the average over time l; X i,j (- τ) and X i,j (τ) represent the correlation coefficients;
wherein the positive connection weight and the negative connection weight are as follows:
Wherein max (X i,j)、min(Xi,j)、<Xi,j > and σ (X i,j) represent the maximum value, minimum value, average value, and standard deviation, respectively, of the correlation coefficient in the range; representing the weight of the positive connection in question, Representing the negative connection weight.
4. The conduction path-based surface temperature monitoring method of claim 1, wherein the process of calculating a set of conduction paths between geographical nodes based on the topology 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 multipath transmission network;
and configuring a geographic node serving as a starting port and a geographic node serving as an ending port, and acquiring a conduction path with a fixed direction of a connection weight from the starting port to the ending port as the sub-path.
5. The conductive path-based surface temperature monitoring method of claim 1, wherein a scoring path with a management scoring score greater than 0 is the available path and a scoring path with a management scoring score less than 0 is the backup path.
6. A conductive path-based surface temperature monitoring device, comprising:
The temperature acquisition module is used for acquiring the earth surface sampling temperature of each geographical node;
the weight calculation module is used for calculating the connection weight among the geographic nodes according to the earth surface sampling temperature, wherein the connection weight comprises a positive connection weight and a negative connection weight;
the network construction module is used for establishing a global surface temperature network based on the geographic nodes according to the weighted sum direction of the connection weight representation;
the path analysis module is used for calculating a conduction path set between each two adjacent geographic nodes based on the topological structure of the global surface temperature network and the connection weight, wherein the conduction path set comprises a branching path of a unit path between each two adjacent geographic nodes;
the path distinguishing module is used for dynamically calculating the connection weight of each branch path and dividing the branch paths into available paths and standby paths according to the sum of the connection weights, wherein the available paths are used for representing 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:
Calculating the connection weight of each unit path;
Management scoring is carried out on each branch path through a transmission path management algorithm based on the sum of the connection weights of unit paths in each branch path so as to distinguish the available path from the standby path;
and the management scoring is carried out on each branch path through a transmission path management algorithm based on the sum of the connection weights of the unit paths in each branch path so as to distinguish the available path and the standby path, wherein the process comprises the following formula:
IF={Μi}
TP={TP1,TP2,...,TPi}
Wherein, Μ i represents the management scoring score, and TP represents the connection weight set of each unit path.
7. A computer storage medium having stored thereon computer instructions which when executed by a processor implement the conductive path based surface temperature monitoring method of any one of claims 1 to 5.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the conduction path-based surface temperature monitoring method of any one of claims 1 to 5 when the program is executed.
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| CN108011777A (en) * | 2017-11-30 | 2018-05-08 | 北京百度网讯科技有限公司 | Method and apparatus for the routing iinformation for updating border networks equipment |
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