A method and system for configuring a data communication network

Abstract

The present invention relates to the field of data processing technology, and in particular to a configuration method and system for a data communication network, including: obtaining a temperature data sequence of a bus duct, obtaining a relative change amount of each temperature data, obtaining an initial abnormal degree of each temperature data, obtaining a change slope of each temperature data, and then obtaining a final abnormal degree of each temperature data; according to the distribution of the final abnormal degree of the temperature data and the distribution of the temperature data, obtaining a final abnormal factor of the current data, obtaining a collection interval of the next temperature data after the current data, and adjusting the bandwidth of the industrial switch. The present invention aims to solve the problem that when the temperature data of the bus duct is collected at a fixed collection interval, the collected temperature data cannot well reflect the state of the bus duct, and the transmission efficiency is too low when the collected temperature data is transmitted by a fixed bandwidth transmission method.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a configuration method and system for a data communication network. Background Art

[0002] A data communications network is a system for transmitting and exchanging data, involving a combination of hardware, software, and protocols. It includes devices such as routers, switches, and servers that transmit data from one point to another through various communication lines and wireless signals. Industrial switches enable connections between network devices. It can connect different types of devices such as computers, servers, sensors, and monitoring equipment, allowing them to communicate with each other and transfer data. When the amount of data being transmitted exceeds the range that the switch can handle, the switch may begin to experience delays or freezes, or even packet loss. This can cause transmission speeds to slow down and cause system performance to deteriorate.

[0003] The bus duct is a device used for power distribution, which distributes power from the power distribution equipment to various loads. The temperature change of the bus duct reflects the state of the bus duct and the change of the corresponding load of the bus duct, so the temperature of the bus duct is transmitted. The fixed sampling interval currently used in the data communication network cannot accurately record the temperature change of the bus duct, so the sampling interval of the temperature data of the bus duct is adjusted; and the number of temperature data collected in each collection process is different, which makes the transmission efficiency of the fixed bandwidth transmission method too low. Summary of the invention

[0004] The present invention provides a configuration method and system for a data communication network to solve the existing problems.

[0005] A data communication network configuration method and system of the present invention adopts the following technical solutions:

[0006] The present invention proposes a method for configuring a data communication network, the method comprising the following steps:

[0007] Acquire a temperature data sequence of the bus duct, wherein each temperature data in the temperature data sequence of the bus duct corresponds to a collection time, and the temperature data sequence of the bus duct includes current data, and the collection time corresponding to the current data is the current time;

[0008] According to the difference between adjacent temperature data in the temperature data sequence of the bus duct, the relative change of each temperature data is obtained; according to the relative change of each temperature data and the relative change of its surrounding temperature data, the initial abnormality degree of each temperature data is obtained;

[0009] According to the numerical difference of adjacent temperature data, the change slope of each temperature data is calculated, and the final abnormal degree of each temperature data is obtained by combining the change slope of the initial abnormal degree of each temperature data;

[0010] Obtain the corresponding data of the current data, and obtain the final abnormality degree of the current data according to the final abnormality degree change of the adjacent corresponding data of the current data, as well as the numerical difference of the corresponding data and the collection time distribution, and then obtain the final abnormality factor of the current data; according to the final abnormality factor of the current data, obtain the collection interval of the next temperature data after the current data;

[0011] Get the bandwidth of the bus duct during the most recent monitoring, and combine it with the collection interval of the next temperature data after the current data to get the bandwidth at the current time.

[0012] Furthermore, the specific method of obtaining the temperature data sequence of the bus duct includes:

[0013] Get the temperature data sequence of the bus duct before the current time, where the sampling interval of the temperature data sequence of the bus duct is Seconds / time, the sampling time of the bus duct temperature data series is hours; among which, is the preset sampling interval, The preset sampling duration.

[0014] Furthermore, the relative change amount of each temperature data is obtained according to the difference between adjacent temperature data in the temperature data sequence of the bus duct, including the specific method of:

[0015] ,

[0016] In the formula, Indicates The relative change of temperature data, Indicates Temperature data, Indicates Temperature data, represents the absolute value function.

[0017] Furthermore, the initial abnormality degree of each temperature data is obtained according to the relative change amount of each temperature data and the relative change amount of the surrounding temperature data, including the specific method of:

[0018] ,

[0019] In the formula, Indicates The initial abnormality of the temperature data is Indicates The temperature data and The maximum relative change of temperature data is Indicates The temperature data and The minimum relative change of temperature data, Indicates Temperature data, Indicates Temperature data, Indicates Temperature data, Indicates The relative change of temperature data, Indicates The relative change of temperature data, Represents a symbolic function.

[0020] Furthermore, the change slope of each temperature data is calculated based on the numerical difference between adjacent temperature data, and the final abnormal degree change slope of each temperature data is obtained by combining the initial abnormal degree of each temperature data, including the specific method of:

[0021] ,

[0022] In the formula, Indicates The change slope of the temperature data, Indicates The acquisition time corresponding to each temperature data is Indicates The acquisition time corresponding to each temperature data is Indicates Temperature data, Indicates Temperature data, represents the absolute value function;

[0023] ,

[0024] In the formula, Indicates The final abnormality of the temperature data is Indicates The initial abnormality of the temperature data is Indicates The change slope of the temperature data.

[0025] Furthermore, the specific method of obtaining the corresponding data of the current data includes:

[0026] The temperature data sequence with the corresponding acquisition time closest to the current time The data is recorded as the corresponding data of the current data; among them, Indicates the number of corresponding data of the preset current data.

[0027] Furthermore, the final abnormality degree of the current data is obtained according to the final abnormality degree change of the adjacent corresponding data of the current data, as well as the numerical difference and acquisition time distribution of the corresponding data, including the specific method of:

[0028] According to the interval between the collection time of the corresponding data of the current data and the current time, the corresponding data of the current data are arranged in ascending order from small to large;

[0029] ,

[0030] In the formula, Indicates the final abnormality level of the current data, Indicates the number of corresponding data of the current data. Indicates the current data The final abnormality degree of the corresponding data, Indicates the current data The final abnormality degree of the corresponding data, Indicates the current data. Indicates the current data The corresponding data, Indicates the collection time corresponding to the current data, Indicates the current data The corresponding data corresponds to the collection time, represents the absolute value function, Represents the sigmoid function.

[0031] Furthermore, the final abnormal factor of the current data is obtained, including the specific method of:

[0032] The final abnormality of the current data is transformed into Within the interval, the result obtained is recorded as the final abnormal factor of the current data.

[0033] Furthermore, the specific method of obtaining the collection interval of the next temperature data after the current data according to the final abnormal factor of the current data includes:

[0034] ,

[0035] In the formula, Indicates the collection interval of the next temperature data after the current data. Indicates the collection interval, Indicates the final outlier factor of the current data.

[0036] The present invention also proposes a configuration system for a data communication network, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the above method.

[0037] The beneficial effects of the technical solution of the present invention are as follows: in the process of collecting the temperature data of the bus duct and transmitting the collected temperature data, based on the fact that the temperature data of the bus duct changes relatively slowly under normal circumstances and changes more drastically under abnormal circumstances, the initial abnormal degree of each temperature data is calculated according to the numerical distribution of each temperature data and the surrounding temperature data, so that the initial abnormal degree of each temperature data reflects the drastic situation of the numerical change of each temperature data and the surrounding temperature data; based on the characteristic that the temperature of the bus duct will change suddenly under abnormal circumstances, the initial abnormal degree of each temperature data is adjusted according to the distribution of each temperature data and the surrounding temperature data to obtain the final abnormal degree of each temperature data, so that the final abnormal degree of each temperature data reflects both the sudden change characteristics of each temperature data and the difference between the temperature data and the surrounding The situation of drastic changes in the value of temperature data; when obtaining the final abnormality degree of the current time according to the value of the current time and the value of the temperature data in a period of time before the current time, the change trend of the final abnormality degree of the temperature data in a period of time before the current time is used, so that the final abnormality degree of the current time reflects the change trend of the final abnormality degree of the temperature data in a period of time, which solves the problem that the data after the current data cannot be used when obtaining the final abnormality degree of the current data. The collection interval of the data after the current time is adjusted to reduce the number of data collected in the normal time period and increase the number of data collected in the abnormal time period, so that the collected temperature data can better reflect the status characteristics of the bus duct. When transmitting the temperature data, the bandwidth of the industrial switch is adjusted according to the transmission situation of the collected data to make the transmission efficiency higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 The present invention is a flowchart of the steps of a method for configuring a data communication network. DETAILED DESCRIPTION

[0040] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a data communication network configuration method and system proposed by the present invention, its specific implementation, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0042] The following describes in detail a data communication network configuration method and system provided by the present invention in conjunction with the accompanying drawings.

[0043] See also Figure 1 , which shows a flowchart of a method for configuring a data communication network provided by an embodiment of the present invention, the method comprising the following steps:

[0044] Step S001: Obtain the temperature data sequence of the bus duct.

[0045] This embodiment adjusts the sampling interval of the temperature data after the temperature data of the bus duct, thereby obtaining a temperature data sequence of the bus duct.

[0046] Specifically, the temperature data sequence of the bus duct before the current time is obtained through the wireless temperature sensor. The temperature data collected at the current time is recorded as the current data. Among them, the last temperature data in the temperature data sequence of the bus duct is the current data. Among them, each temperature data corresponds to a collection time. Among them, the sampling interval of the temperature data sequence of the bus duct is Seconds / time, the sampling time of the bus duct temperature data series is The sampling interval preset in this embodiment is , preset sampling time , this is used as an example for description, and other values ​​may be set in other implementation modes.

[0047] Step S002: Obtain the relative change of each temperature data according to the difference between adjacent temperature data in the temperature data sequence of the bus duct; obtain the initial abnormality degree of each temperature data according to the relative change of each temperature data and the relative change of its surrounding temperature data.

[0048] It should be noted that when collecting the temperature data of the bus duct, the sampling interval of the temperature data of the bus duct under normal conditions is increased to reduce the amount of data transmitted; the sampling interval of the temperature data of the bus duct under abnormal conditions is reduced so that the collected data can better reflect the temperature data changes of the bus duct under abnormal conditions. Therefore, the final abnormality degree of the current data is obtained.

[0049] It should be further explained that, because the temperature change corresponding to the bus duct is relatively gentle under normal circumstances, and under abnormal circumstances such as poor ventilation of the bus duct or power short circuit, the temperature data of the bus duct will fluctuate, so the final abnormal degree of the temperature data of each bus duct is obtained based on each temperature data and the temperature data collected before and after it. Since the temperature data after the current time cannot be obtained at the current time, the final abnormal degree of the current data is obtained based on the final abnormal degree of the temperature data before the current time point and the current data, and then the sampling interval of the temperature data after the current time is obtained.

[0050] It should be further explained that when calculating the temperature data before the current time point based on the temperature data on both sides of the temperature data before the current time point, the temperature data of the bus duct will fluctuate under abnormal circumstances. Therefore, the final abnormal degree of the temperature data is calculated based on the difference between the temperature data before the current time point and the temperature data on its left and right sides. In quantitative analysis, both absolute change and relative change can be used to represent the change of value. Absolute change is expressed as the difference between numerical values, but absolute change cannot well express the meaning of the change between numerical values ​​in some cases. For example, the meaning of the change between 20 and 21, 1000 and 1001 is very different. Therefore, in order to better reflect the subtle changes with smaller values, the final abnormal degree of the temperature data before the current time is obtained by calculating the relative change of the temperature data before the current time.

[0051] Specifically, The specific calculation formula for the relative change of temperature data is as follows:

[0052] ,

[0053] In the formula, Indicates The relative change of temperature data, Indicates Temperature data, Indicates Temperature data, represents the absolute value function.

[0054] It should be noted that The value relative to The larger it is, the greater the difference in the adjacent temperature data is relative to itself, that is, the larger the relative change is, the greater the relative change is.

[0055] Specifically, the specific calculation formula for obtaining the initial abnormality degree of each temperature data is as follows:

[0056] ,

[0057] In the formula, Indicates The initial abnormality of the temperature data is Indicates The temperature data and The maximum relative change of temperature data is Indicates The temperature data and The minimum relative change of temperature data, Indicates Temperature data, Indicates Temperature data, Indicates Temperature data, Indicates The relative change of temperature data, Indicates The relative change of temperature data, Represents a sign function. When the input is a positive number, the output is 1; when the input is a negative number, the output is -1; when the input is 0, the output is 0.

[0058] It should be noted that It means the The temperature data and The relative change between the temperature data, It means the The temperature data and The relative change between the temperature data, The larger the value, the The temperature data of the first temperature is significantly different from the surrounding temperature data, which further illustrates that the The more the temperature data conforms to the characteristics of the bus duct temperature data changing strongly under abnormal conditions; It means the The temperature data and The temperature change direction between the temperature data, It means the The temperature data and The temperature change direction between the temperature data, , explain The temperature data and The temperature change direction between the temperature data is The temperature data and The temperature change direction between the temperature data is consistent; , explain The temperature data and The temperature change direction between the temperature data is The temperature data and The temperature change directions between the temperature data are consistent, which further explains The more the temperature data conforms to the characteristics that the temperature data of the bus duct fluctuates violently under abnormal conditions; The larger the value, the The greater the difference between the change direction or relative change amount of the temperature data on both sides, the greater the difference in the change direction or relative change amount of the temperature data on both sides. The more the temperature data of the first temperature and the temperature data on both sides of it are consistent with the characteristic that the temperature of the bus duct changes drastically under abnormal conditions, that is, The greater the initial abnormality of the temperature data.

[0059] Step S003: Calculate the change slope of each temperature data according to the numerical difference of adjacent temperature data, and combine the change slope of the initial abnormality degree of each temperature data to obtain the final abnormality degree of each temperature data.

[0060] It should be noted that when the bus duct is abnormal, such as the equipment load exceeds the rated current of the bus duct, the bus duct will be overloaded, which will cause the temperature of the bus duct to change suddenly. And this sudden change will be reflected in the change slope of each temperature data. Therefore, according to the value of each temperature data and the surrounding temperature data, the change slope of each temperature data is obtained, and the final abnormal degree of each temperature data is obtained according to the change slope of each temperature data.

[0061] Specifically, get the The specific calculation formula for the change slope of temperature data is as follows:

[0062] ,

[0063] In the formula, Indicates The slope of the temperature data, Indicates The acquisition time corresponding to each temperature data is Indicates The acquisition time corresponding to each temperature data is Indicates Temperature data, Indicates Temperature data, represents the absolute value function.

[0064] It should be noted that The larger the value, the The acquisition time corresponding to the first temperature data is The more drastic the bus duct temperature data change during the acquisition time corresponding to the temperature data, the further the The more obvious the sudden change characteristics of the bus duct temperature are at the collection time corresponding to the temperature data.

[0065] Further, get the The specific calculation formula for the final abnormality degree of each temperature data is as follows:

[0066] ,

[0067] In the formula, Indicates The final abnormality of the temperature data is Indicates The initial abnormality of the temperature data is Indicates The change slope of the temperature data.

[0068] It should be noted that The larger the value, the The more drastic the temperature changes on both sides of the first temperature data, the more The more the temperature data conforms to the characteristic that the temperature data will change dramatically when the bus duct is abnormal, that is, The greater the final abnormality of the temperature data; The larger the value, the The more obvious the sudden change of bus duct temperature is at the collection time corresponding to the temperature data, that is, The greater the final abnormality of the temperature data.

[0069] Step S004: Obtain the corresponding data of the current data, and obtain the final abnormality degree of the current data according to the final abnormality degree change of the adjacent corresponding data of the current data, as well as the numerical difference of the corresponding data and the collection time distribution, and then obtain the final abnormality factor of the current data; according to the final abnormality factor of the current data, obtain the collection interval of the next temperature data after the current data.

[0070] It should be noted that since it is impossible to collect the temperature of the data after the current time point at the current time, the final abnormal degree of the temperature data in a period of time before the current time is obtained according to the final abnormal degree of the temperature data before the current time. Since the temperature data of the bus duct will fluctuate under abnormal conditions, the final abnormal degree of the current data is obtained according to the current data and the temperature data before the current time.

[0071] Specifically, the temperature data sequence whose corresponding collection time is closest to the current time The corresponding data of the current data are recorded as the corresponding data of the current data. And according to the interval between the collection time of the corresponding data of the current data and the current time, the corresponding data of the current data are arranged in ascending order from small to large. Among them, the number of corresponding data of the current data preset in this embodiment is , this is used as an example for description, and other values ​​may be set in other implementation modes.

[0072] Furthermore, the specific calculation formula for obtaining the final abnormality degree of the current data is as follows:

[0073] ,

[0074] In the formula, Indicates the final abnormality level of the current data, Indicates the number of corresponding data of the current data. Indicates the current data The final abnormality degree of the corresponding data, Indicates the current data The final abnormality degree of the corresponding data, Indicates the current data. Indicates the current data The corresponding data, Indicates the collection time corresponding to the current data, Indicates the current data The corresponding data corresponds to the collection time, represents the absolute value function, represents a sigmoid function, which is used for normalization processing in this embodiment.

[0075] It should be noted that The larger the value is, the larger the value between the current data and the temperature data with the largest difference in acquisition time is, which further indicates that the temperature change in a period of time including the current time is more drastic, which further indicates that the temperature data in this period of time is more consistent with the characteristic that the temperature change of the bus duct is more drastic under abnormal conditions, that is, the final abnormality of the current data is greater; The larger the value is, the more The corresponding data to The final abnormality of the corresponding data is increasing; The larger the value is, the greater the final abnormality degree of the corresponding data of the current data is, indicating that the final abnormality degree of the corresponding data of the current data is gradually increasing from the final abnormality degree of the last corresponding data of the current data to the first corresponding data of the current data, that is, the final abnormality degree of the temperature data in a period of time before the current time is gradually increasing with the increase of the collection time, further indicating that the final abnormality degree of the current data should be greater.

[0076] Furthermore, the final abnormality degree of the current data is transformed into Within the interval, the result is recorded as the final abnormal factor of the current data. .

[0077] Furthermore, the specific calculation formula for the collection interval of the next temperature data after obtaining the current data is as follows:

[0078] ,

[0079] In the formula, Indicates the collection interval of the next temperature data after the current data. Indicates the collection interval, Indicates the final outlier factor of the current data.

[0080] Step S005: Obtain the bandwidth size of the bus duct during the most recent monitoring, and combine it with the collection interval of the next temperature data after the current data to obtain the bandwidth size at the current time.

[0081] It should be noted that the size of the bandwidth directly affects the efficiency and performance of the network. For switches, its bandwidth determines the communication speed between devices within the LAN. A smaller bandwidth may cause network congestion and affect the normal communication between devices; a larger bandwidth may cause a waste of bandwidth resources. Therefore, the bandwidth is adjusted according to the collection interval of the next temperature data after the current data.

[0082] It is further noted that the bandwidth of the switch can be adjusted through the port bandwidth control function. The switch provides a port bandwidth control function, which allows users to limit or allocate the bandwidth of a specific port as needed. This function is essential for managing network traffic, preventing bandwidth abuse, and ensuring the performance of critical applications. The general steps for adjusting the bandwidth of the switch are to connect user devices, set port bandwidth limits, bind ports and users, configure RX and TX bandwidth, and save the configuration.

[0083] It should be further explained that when adjusting the bandwidth, the bus duct starts to run and stops running as one monitoring, and the bandwidth of the current time is adjusted according to the bandwidth size of the switch that transmits the temperature data of the bus duct during the most recent monitoring and the collection interval of the next temperature data after the current data, so as to ensure the data transmission rate and reduce the occurrence of data blocking. When the maximum data transmission rate is larger, the selected bandwidth should be larger.

[0084] Specifically, the period from the start of operation of the bus duct to the stop of operation is regarded as one monitoring, and the bandwidth size of the bus duct at the time of the most recent monitoring is obtained.

[0085] Furthermore, the specific calculation formula for the bandwidth size at the current time is as follows:

[0086] ,

[0087] In the above formula, is the bandwidth size at the current time, To obtain the bandwidth of the bus duct during the most recent monitoring, Indicates the collection interval of the next temperature data after the current data. Represents the hyperbolic tangent function, and the range of the output data is .

[0088] At this point, the bandwidth size at the current time is obtained.

[0089] At this point, this embodiment is completed.

[0090] Another embodiment of the present invention provides a method for configuring a data communication network, the system comprising a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, steps S001 to S005 of the above method are implemented.

[0091] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for configuring a data communication network, characterized in that: The method comprises the following steps: Acquire a temperature data sequence of the bus duct, wherein each temperature data in the temperature data sequence of the bus duct corresponds to a collection time, and the temperature data sequence of the bus duct includes current data, and the collection time corresponding to the current data is the current time; According to the difference between adjacent temperature data in the temperature data sequence of the bus duct, the relative change of each temperature data is obtained; according to the relative change of each temperature data and the relative change of its surrounding temperature data, the initial abnormality degree of each temperature data is obtained; The specific method of obtaining the initial abnormality degree of each temperature data according to the relative change amount of each temperature data and the relative change amount of the surrounding temperature data is as follows: , In the formula, Indicates The initial abnormality of the temperature data is Indicates The temperature data and The maximum relative change of temperature data is Indicates The temperature data and The minimum relative change of temperature data, Indicates Temperature data, Indicates Temperature data, Indicates Temperature data, Indicates The relative change of temperature data, Indicates The relative change of temperature data, represents a symbolic function; According to the numerical difference of adjacent temperature data, the change slope of each temperature data is calculated, and the final abnormal degree of each temperature data is obtained by combining the initial abnormal degree of each temperature data; Obtain the corresponding data of the current data, and obtain the final abnormality degree of the current data according to the final abnormality degree change of the adjacent corresponding data of the current data, as well as the numerical difference of the corresponding data and the collection time distribution, and then obtain the final abnormality factor of the current data; according to the final abnormality factor of the current data, obtain the collection interval of the next temperature data after the current data; The specific method of obtaining the corresponding data of the current data includes: The temperature data sequence with the corresponding acquisition time closest to the current time The data is recorded as the corresponding data of the current data; among them, Indicates the number of corresponding data of the preset current data; The method of obtaining the final abnormality degree of the current data according to the final abnormality degree change of the adjacent corresponding data of the current data, as well as the numerical difference and collection time distribution of the corresponding data, includes the following specific methods: According to the interval between the collection time of the corresponding data of the current data and the current time, the corresponding data of the current data are arranged in ascending order from small to large; , In the formula, Indicates the final abnormality degree of the current data, Indicates the number of corresponding data of the current data. Indicates the current data The final abnormality degree of the corresponding data, Indicates the current data The final abnormality degree of the corresponding data, Indicates the current data. Indicates the current data The corresponding data, Indicates the collection time corresponding to the current data, Indicates the current data The corresponding data corresponds to the collection time, represents the absolute value function, Represents the sigmoid function; Get the bandwidth of the bus duct during the most recent monitoring, and combine it with the collection interval of the next temperature data after the current data to get the bandwidth at the current time.

2. A method for configuring a data communication network according to claim 1, characterized in that: The specific method of obtaining the temperature data sequence of the bus duct includes: Get the temperature data sequence of the bus duct before the current time, where the sampling interval of the temperature data sequence of the bus duct is Seconds / time, the sampling time of the bus duct temperature data series is hours; among which, is the preset sampling interval, The preset sampling duration.

3. A method for configuring a data communication network according to claim 1, characterized in that: The specific method of obtaining the relative change of each temperature data according to the difference between adjacent temperature data in the temperature data sequence of the bus duct includes: , In the formula, Indicates The relative change of temperature data, Indicates Temperature data, Indicates Temperature data, represents the absolute value function.

4. A method for configuring a data communication network according to claim 1, characterized in that: The method of calculating the change slope of each temperature data according to the numerical difference of adjacent temperature data and combining the initial abnormality degree of each temperature data to obtain the final abnormality degree change slope of each temperature data includes the following specific methods: , In the formula, Indicates The change slope of the temperature data, Indicates The acquisition time corresponding to each temperature data is Indicates The acquisition time corresponding to each temperature data is Indicates Temperature data, Indicates Temperature data, represents the absolute value function; , In the formula, Indicates The final abnormality of the temperature data is Indicates The initial abnormality of the temperature data is Indicates The change slope of the temperature data.

5. A method for configuring a data communication network according to claim 1, characterized in that: The specific method of obtaining the final abnormal factor of the current data includes: The final abnormality of the current data is transformed into Within the interval, the result obtained is recorded as the final abnormal factor of the current data.

6. A method for configuring a data communication network according to claim 2, characterized in that: The specific method of obtaining the collection interval of the next temperature data after the current data according to the final abnormal factor of the current data includes: , In the formula, Indicates the collection interval of the next temperature data after the current data. Indicates the collection interval, Indicates the final outlier factor of the current data.

7. A configuration system for a data communication network, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the processor implements the steps of a method for configuring a data communication network as described in any one of claims 1 to 6.

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