Intelligent cable based on key sampling point management data

Abstract

The embodiment of the application discloses an intelligent cable based on key sampling point management data. The technical scheme provided by the embodiment of the application saves the cable monitoring information uploaded by the intelligent cable detection device in a set storage location, takes the cable monitoring information stored in the set storage location and whose storage time reaches a set time threshold as historical monitoring information, determines non-key detection information from the historical monitoring information according to the sampling point distance and the change rate between adjacent historical monitoring information, and screens out the non-key detection information in the set storage location, so that the occupation of the storage space by the cable monitoring information with a long storage time and non-key in the set storage location is reduced, the cable monitoring information is screened, the occupation of the storage space is reduced, and the cost of the storage device is reduced.

Description

Technical Field

[0001] This application relates to the field of smart cable technology, and more particularly to a smart cable based on key sampling point management data. Background Technology

[0002] With the rapid development of cities, various advanced technologies have been adopted to construct intelligent cable systems, including lighting, ventilation, leak prevention, cable fiber optic temperature measurement, video surveillance, cable metal sheath grounding current monitoring, harmful gas content monitoring, water seepage level monitoring, and emergency intercom. Through the implementation of these systems, intelligent monitoring of cables has been basically realized, laying the foundation for the safe operation of intelligent cable networks.

[0003] During cable operation, smart cables need to collect and store cable monitoring information uploaded by various smart cable detection devices to facilitate anomaly analysis. However, over time, more and more data accumulates in storage space. To store more historical monitoring information, storage devices with larger memory are required, increasing equipment costs. Summary of the Invention

[0004] This application provides an intelligent cable based on key sampling point management data to solve the technical problem in the prior art where the large amount of stored monitoring data leads to increased storage device costs. It filters historical cable monitoring information to reduce storage space occupation and storage device costs.

[0005] In a first aspect, embodiments of this application provide a smart cable based on key sampling point management data, including a data acquisition module, a data extraction module, and a data filtering module, wherein:

[0006] The data acquisition module is used to acquire cable monitoring information uploaded by the intelligent cable detection device and save the cable monitoring information to a set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to a set collection cycle.

[0007] The data extraction module is used to determine historical monitoring information whose storage time has reached a set time threshold from the cable monitoring information stored in the set storage location;

[0008] The data filtering module is used to determine non-critical monitoring information from the historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information, and to filter out the non-critical monitoring information from the set storage location.

[0009] Furthermore, when the data filtering module determines non-critical monitoring information from the historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information, it includes:

[0010] The screening distance is determined based on the average rate of change between adjacent historical monitoring data.

[0011] Based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, non-critical monitoring information is determined from the historical monitoring information.

[0012] Furthermore, when the data filtering module determines non-critical monitoring information from the historical monitoring information based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set rate of change threshold and the rate of change between adjacent historical monitoring information, it includes:

[0013] Based on the set key information thresholds, determine the historical information to be filtered from the historical monitoring information;

[0014] Based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, non-critical monitoring information is determined from the historical information to be filtered.

[0015] Furthermore, multiple time thresholds can be set, and the larger the time threshold, the greater the filtering distance corresponding to the same rate of change.

[0016] In a second aspect, embodiments of this application provide an intelligent cable management method based on key sampling point management data, comprising:

[0017] The system acquires cable monitoring information uploaded by the intelligent cable detection device and saves the cable monitoring information to a set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to a set collection cycle.

[0018] Historical monitoring information whose storage time has reached a set time threshold is determined from the cable monitoring information stored in the set storage location;

[0019] Based on the sampling point distance and rate of change between adjacent historical monitoring information, non-critical monitoring information is determined from the historical monitoring information, and the non-critical monitoring information is filtered out from the set storage location.

[0020] Furthermore, determining non-critical monitoring information from the historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information includes:

[0021] The screening distance is determined based on the average rate of change between adjacent historical monitoring data.

[0022] Based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, non-critical monitoring information is determined from the historical monitoring information.

[0023] Furthermore, the step of determining non-critical monitoring information from the historical monitoring information based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set rate of change threshold and the rate of change between adjacent historical monitoring information, includes:

[0024] Based on the set key information thresholds, determine the historical information to be filtered from the historical monitoring information;

[0025] Based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, non-critical monitoring information is determined from the historical information to be filtered.

[0026] Furthermore, multiple time thresholds can be set, and the larger the time threshold, the greater the filtering distance corresponding to the same rate of change.

[0027] In a third aspect, embodiments of this application provide an intelligent cable management device based on key sampling point management data, including: a memory and one or more processors;

[0028] The memory is used to store one or more programs;

[0029] When the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent cable management method based on key sampling point management data as described in the second aspect.

[0030] In a fourth aspect, embodiments of this application provide a storage medium for storing computer-executable instructions, which, when executed by a computer processor, are used to perform the intelligent cable management method based on key sampling point management data as described in the second aspect.

[0031] This application embodiment saves the cable monitoring information uploaded by the intelligent cable detection device in a set storage location, and uses the cable monitoring information stored in the set storage location for a set time threshold as historical monitoring information. Based on the sampling point distance and change rate between adjacent historical monitoring information, non-critical detection information is identified from these historical monitoring information and filtered out from the set storage location. This reduces the storage space occupied by non-critical cable monitoring information that has been stored for a long time in the set storage location, thereby reducing the storage space occupied and the cost of storage equipment. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the structure of an intelligent cable based on key sampling point management data provided in an embodiment of this application;

[0033] Figure 2 This is a schematic diagram of the structure of an intelligent cable management system provided in an embodiment of this application;

[0034] Figure 3 This is a flowchart of a smart cable based on key sampling point management data provided in an embodiment of this application;

[0035] Figure 4 This is a schematic diagram of the structure of an intelligent cable management device based on key sampling point management data provided in an embodiment of this application. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but additional steps not included in the drawings may also be present. The above processes can correspond to methods, functions, procedures, subroutines, subroutines, etc.

[0037] Figure 1 A schematic diagram of a smart cable based on key sampling point management data, according to an embodiment of this application, is provided. (Reference) Figure 1The smart cable based on key sampling point management data includes a data acquisition module 11, a data extraction module 12, and a data filtering module 13 connected in sequence.

[0038] The data acquisition module 11 provided in this solution is used to acquire cable monitoring information uploaded by the intelligent cable detection device and save the cable monitoring information to a set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to the set collection cycle.

[0039] The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to a set collection cycle. For example, multiple intelligent cable detection devices are installed on the intelligent cable based on key sampling point management data to detect various operational or environmental data of the intelligent cable and upload them to the data acquisition module 11 in real time. Optionally, the intelligent cable detection device can communicate with the data acquisition module 11 via wired and / or wireless communication.

[0040] The cable monitoring information includes cable operation information and environmental monitoring information, which respectively indicate the cable's own operating status and the environmental information surrounding the cable. Cable operation information can include monitoring data such as cable deformation, cable current, cable voltage, cable temperature, and partial discharge. Environmental monitoring information can include monitoring data such as ambient temperature, ambient humidity, and on-site wind force around the cable. Different monitoring data can be obtained by detecting the intelligent cable using corresponding types of sensors installed on the intelligent cable detection device. The cable monitoring information includes the identification information corresponding to the intelligent cable detection device, the monitoring results (numerical values) reflecting the cable operation information and / or environmental monitoring information, and / or the monitoring time.

[0041] For example, the smart cable based on key sampling point management data provided in this embodiment can be deployed in a smart cable management system, and the smart cable based on key sampling point management data can serve as a node in the smart cable management system. Figure 2 A schematic diagram of an intelligent cable management system is provided. The intelligent cable management system includes a server, intelligent cables based on key sampling point management data, and multiple intelligent cable detection devices of different sensor types installed on each intelligent cable. The intelligent cables can be connected to the intelligent cable detection devices and to the server via wired and / or wireless means.

[0042] Furthermore, after receiving the cable monitoring information uploaded by the intelligent cable detection device, the data acquisition module 11 saves the cable monitoring information in a designated storage location. This designated storage location can be set on a local storage medium. Optionally, after receiving the cable monitoring information uploaded by the intelligent cable detection device, the data acquisition module 11 can also synchronously upload the cable monitoring information to a server via a network, allowing the server to monitor the intelligent cable or save the cable monitoring information.

[0043] Furthermore, the data extraction module 12 provided in this solution is used to determine historical monitoring information whose storage time has reached a set time threshold from the cable monitoring information stored in a set storage location. For example, according to the time interval corresponding to the set time threshold, cable monitoring information whose storage time has reached the set time threshold is determined from the cable monitoring information stored in the set storage location, and this cable monitoring information whose storage time has reached the set time threshold is identified as historical monitoring information awaiting data filtering. This historical monitoring information is then submitted to the data filtering module 13 for data filtering.

[0044] In one possible embodiment, the proposed solution provides multiple time thresholds. The data extraction module 12 determines historical monitoring information from the designated storage location according to the time intervals corresponding to different time thresholds, and submits it to the data filtering module 13 to determine and filter out non-critical detection information. For example, multiple different time thresholds such as 1 day, 7 days, and 30 days can be set. The data extraction module 12 extracts cable monitoring information from the designated storage location every 1 day, 7 days, and 30 days that has been stored for 1 day, 7 days, and 30 days respectively, and the data has not been filtered out according to the corresponding time threshold. This information is then used as historical monitoring information (i.e., cable monitoring information in the designated storage location corresponding to the time thresholds preceding the current time is used as historical monitoring information). Optionally, for different time thresholds, the longer the time threshold, the stricter the data filtering strategy can be set. The stricter the data filtering strategy, the greater the filtering effect on historical monitoring information.

[0045] Furthermore, the data filtering module 13 provided in this solution is used to determine non-critical monitoring information from historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information, and to filter out non-critical monitoring information from the set storage location.

[0046] For example, after determining the historical monitoring information whose storage time has reached a set time threshold, the sampling point distance and rate of change between adjacent historical monitoring information within this time period (the time period corresponding to the set time threshold counted backward from the current time) are determined. Here, the sampling point distance is the time difference between the monitoring times corresponding to adjacent historical monitoring information, and the rate of change is the slope information corresponding to adjacent historical monitoring information.

[0047] Furthermore, after determining the sampling point distance and rate of change between adjacent historical monitoring information, these distances and rates of change are compared with pre-set distance and rate of change thresholds. When the sampling point distance reaches the distance threshold and / or the rate of change reaches the rate of change threshold, the later historical monitoring information (among adjacent historical monitoring information) is considered key detection information corresponding to the current set time threshold, and this historical monitoring information needs to be retained in the designated storage location. Conversely, when the sampling point distance does not reach the distance threshold and the rate of change does not reach the rate of change threshold, the later historical monitoring information (among adjacent historical monitoring information) is considered non-key detection information corresponding to the current set time threshold, and non-key monitoring information is filtered out from the designated storage location, reducing the storage space occupied by non-key detection information in the designated storage location. Optionally, when multiple set time thresholds exist, the larger the corresponding distance and rate of change thresholds, the longer the cable monitoring information is stored in the designated storage location, and the more critical the retained cable monitoring information becomes.

[0048] In one possible embodiment, when the data filtering module 13 determines non-critical monitoring information from historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information, it specifically includes: determining the filtering distance based on the average rate of change between adjacent historical monitoring information; and determining non-critical monitoring information from historical monitoring information based on the filtering distance, the sampling point distance between adjacent historical monitoring information, a set rate of change threshold, and the rate of change between adjacent historical monitoring information.

[0049] The filtering distance is represented by a time interval. Different filtering distances correspond to different ranges of change rates, and the larger the value corresponding to the range of change rates, the smaller the corresponding filtering distance. For example, the distance and change rate between sampling points of adjacent historical monitoring information are calculated, the average change rate of these change rates is calculated within the time period corresponding to a set time threshold, and the filtering distance is determined based on the range of change rates corresponding to the average change rate.

[0050] After determining the screening distance, the distance between sampling points and the rate of change between adjacent historical monitoring information are compared with the determined distance threshold and the pre-set rate of change threshold. When the sampling point distance reaches the distance threshold and / or the rate of change reaches the rate of change threshold, the later historical monitoring information among the adjacent historical monitoring information is considered critical detection information. When the sampling point distance does not reach the distance threshold and the rate of change does not reach the rate of change threshold, the later historical monitoring information among the adjacent historical monitoring information is considered non-critical detection information corresponding to the current set time threshold. This scheme determines the corresponding screening threshold based on the average rate of change. When the average rate of change is large, a smaller screening distance is selected. When the cable monitoring information changes drastically, the screening distance is reduced to retain more critical monitoring information and ensure the effectiveness of intelligent cable anomaly analysis.

[0051] In one possible embodiment, this solution provides multiple set time thresholds, and the larger the set time threshold, the greater the screening distance corresponding to the same rate of change. By screening historical monitoring information according to different screening distances under different set time thresholds, different screening intensities are applied to cable monitoring information with different storage time lengths. While preserving key cable monitoring information and ensuring the effectiveness of intelligent cable anomaly analysis, the solution effectively reduces the storage space occupied by cable monitoring information with longer storage time.

[0052] In one possible embodiment, when the data filtering module 13 determines non-critical monitoring information from historical monitoring information based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, it specifically includes: determining the historical information to be filtered from the historical monitoring information based on the set critical information threshold; and determining non-critical monitoring information from the historical information to be filtered based on the filtering distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information.

[0053] For example, based on the normal value ranges corresponding to different types of cable monitoring information during normal operation of the smart cable, corresponding key information thresholds are determined for different types of cable monitoring information (i.e., when the value corresponding to the cable monitoring information exceeds the key information threshold, the smart cable can be considered to have experienced or be close to an operational abnormality). Specifically, the value corresponding to each historical monitoring information is compared with the corresponding key information threshold, and historical monitoring information whose value reaches the key information threshold is identified as key monitoring information, while historical monitoring information whose value does not reach the key information threshold is identified as historical information to be screened. Optionally, the key information threshold includes a key information maximum value and a key information minimum value. When the value corresponding to the historical monitoring information is greater than the key information maximum value or less than the key information minimum value, the historical monitoring information can be considered to exceed the key information threshold and identified as key monitoring information.

[0054] Furthermore, for the aforementioned determined historical information to be screened, the sampling point distance and rate of change between adjacent historical information to be screened are compared with a determined distance threshold and a pre-set rate of change threshold. When the sampling point distance reaches the distance threshold and / or the rate of change reaches the rate of change threshold, the later historical information to be screened among the adjacent historical information to be screened is considered key detection information. When the sampling point distance does not reach the distance threshold and the rate of change does not reach the rate of change threshold, the later historical information to be screened among the adjacent historical information to be screened is considered non-key detection information corresponding to the current set time threshold. Adjacent historical information to be screened can be understood as the two cable monitoring information pieces that are closest in monitoring time after filtering historical monitoring information. It is understandable that there may be cases where the monitoring time intervals between different adjacent historical information to be screened are different. This scheme first filters out the key monitoring information that needs to be retained from the historical monitoring information based on the key information threshold, reducing the amount of data processing computation and improving the efficiency of determining non-key detection information.

[0055] By storing cable monitoring information uploaded by the intelligent cable detection device in a designated storage location, and identifying cable monitoring information stored for a set time threshold as historical monitoring information, non-critical detection information is determined from this historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information. This process filters out non-critical detection information from the designated storage location, reducing the storage space occupied by long-stored, non-critical cable monitoring information, thus reducing storage space usage and storage equipment costs. Simultaneously, a corresponding filtering threshold is determined based on the average rate of change. When the average rate of change is high, a smaller filtering distance is selected; when the cable monitoring information changes drastically, the filtering distance is reduced to retain more critical monitoring information, ensuring the effectiveness of intelligent cable anomaly analysis. Furthermore, critical monitoring information that needs to be retained is filtered from historical monitoring information based on a critical information threshold, reducing data processing computation and improving the efficiency of identifying non-critical detection information.

[0056] It is worth noting that in the above embodiments of the smart cable based on key sampling point management data, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the protection scope of the embodiments of the present invention.

[0057] Figure 3 A flowchart of a smart cable based on key sampling point management data provided in this application embodiment is given. The smart cable based on key sampling point management data provided in this application embodiment can be implemented by a smart cable based on key sampling point management data. The smart cable based on key sampling point management data can be implemented by hardware and / or software and integrated into a smart cable management device based on key sampling point management data.

[0058] The following description uses a smart cable based on key sampling point management data as an example. (Reference) Figure 3 The smart cable, based on key sampling point management data, includes:

[0059] S101: Obtain cable monitoring information uploaded by the intelligent cable detection device and save the cable monitoring information to the set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to the set collection cycle.

[0060] S102: Determine historical monitoring information whose storage time has reached a set time threshold from the cable monitoring information stored in the set storage location.

[0061] S103: Based on the sampling point distance and rate of change between adjacent historical monitoring information, determine non-critical monitoring information from the historical monitoring information and filter out non-critical monitoring information from the set storage location.

[0062] In one possible embodiment, when determining non-critical monitoring information from historical monitoring information based on the sampling point distance and rate of change between adjacent historical monitoring information, this scheme includes steps S1031-S1032:

[0063] S1031: Determine the screening distance based on the average rate of change between adjacent historical monitoring information.

[0064] S1032: Based on the screening distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, non-critical monitoring information is determined from historical monitoring information.

[0065] In one possible embodiment, when determining non-critical monitoring information from historical monitoring information based on the screening distance and the sampling point distance between adjacent historical monitoring information, as well as the set rate of change threshold and the rate of change between adjacent historical monitoring information, this scheme includes:

[0066] Based on the set key information threshold, historical information to be screened is determined from historical monitoring information; based on the screening distance and the sampling point distance between adjacent historical monitoring information, as well as the set change rate threshold and the change rate between adjacent historical monitoring information, non-key monitoring information is determined from the historical information to be screened.

[0067] In one possible embodiment, this solution provides multiple time threshold settings, and the larger the time threshold, the greater the screening distance corresponding to the same rate of change. The specific description of each step in the intelligent cable management method based on key sampling point management data can be found in the intelligent cable based on key sampling point management data provided in the above embodiment, and will not be repeated in this embodiment.

[0068] This application also provides an intelligent cable management device based on key sampling point management data, which can integrate the intelligent cable based on key sampling point management data provided in this application. Figure 4 This is a schematic diagram of the structure of an intelligent cable management device based on key sampling point management data provided in an embodiment of this application. (Reference) Figure 4The intelligent cable management device based on key sampling point management data includes: an input device 43, an output device 44, a memory 42, and one or more processors 41; the memory 42 is used to store one or more programs; when one or more programs are executed by one or more processors 41, the one or more processors 41 implement the intelligent cable based on key sampling point management data as provided in the above embodiment. The input device 43, output device 44, memory 42, and processors 41 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0069] The memory 42, as a computing device-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the intelligent cable management method based on key sampling point management data provided in any embodiment of this application (e.g., the data acquisition module 11, data extraction module 12, and data filtering module 13 in the intelligent cable based on key sampling point management data). The memory 42 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the device, etc. Furthermore, the memory 42 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 42 may further include memory remotely located relative to the processor 41, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0070] Input device 43 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the device. Output device 44 may include display devices such as a display screen.

[0071] The processor 41 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 42, thereby realizing the above-mentioned intelligent cable management method based on key sampling point management data.

[0072] The smart cable, device, and computer provided above based on key sampling point management data can be used to execute the smart cable management method based on key sampling point management data provided in any of the above embodiments, and have corresponding functions and beneficial effects.

[0073] This application embodiment also provides a storage medium for storing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute the intelligent cable management method based on key sampling point management data provided in the above embodiment. The intelligent cable management method based on key sampling point management data includes: acquiring cable monitoring information uploaded by an intelligent cable detection device and saving the cable monitoring information to a set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting intelligent cables according to a set collection cycle; determining historical monitoring information whose storage time has reached a set time threshold from the cable monitoring information saved in the set storage location; determining non-critical monitoring information from the historical monitoring information based on the sampling point distance and change rate between adjacent historical monitoring information, and filtering out the non-critical monitoring information from the set storage location.

[0074] Storage medium – any type of memory device or storage device. The term “storage medium” is intended to include: mounting media, such as CD-ROMs, floppy disks, or magnetic tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disks or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. Furthermore, storage media may reside in a first computer system in which a program is executed, or may reside in a different second computer system connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term “storage medium” can include two or more storage media that may reside in different locations (e.g., in different computer systems connected via a network). Storage media may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0075] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the intelligent cable management method based on key sampling point management data provided above, but can also execute related operations in the intelligent cable management method based on key sampling point management data provided in any embodiment of this application.

[0076] The smart cable, device, and storage medium based on key sampling point management data provided in the above embodiments can execute the smart cable management method based on key sampling point management data provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the smart cable management method based on key sampling point management data provided in any embodiment of this application.

[0077] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments provided herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A smart cable based on key sampling point management data, characterized in that, It includes a data acquisition module, a data extraction module, and a data filtering module, among which: The data acquisition module is used to acquire cable monitoring information uploaded by the intelligent cable detection device and save the cable monitoring information to a set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to a set collection cycle. The data extraction module is used to determine historical monitoring information whose storage time has reached a set time threshold from the cable monitoring information stored in the set storage location; The data filtering module is used to determine the filtering distance based on the average rate of change between adjacent historical monitoring information, wherein the larger the value corresponding to the range of the average rate of change, the smaller the corresponding filtering distance; historical monitoring information whose corresponding value does not reach a set key information threshold is identified as historical information to be filtered, the set key information threshold includes a key information maximum value and a key information minimum value; the data filtering module is specifically used to: identify historical monitoring information whose value is greater than the key information maximum value or less than the key information minimum value as key monitoring information, and identify the remaining historical monitoring information as historical information to be filtered; based on the filtering distance and sampling between adjacent historical monitoring information... The data filtering module is specifically used to: determine non-critical monitoring information from the historical information to be filtered by considering the sampling point distance, the set rate of change threshold, and the rate of change between adjacent historical monitoring information; the sampling point distance between adjacent historical monitoring information is the time difference of the monitoring time corresponding to the adjacent historical monitoring information; the rate of change between adjacent historical monitoring information is the slope information of the monitoring value corresponding to the adjacent historical monitoring information; the data filtering module is specifically used to: when the sampling point distance does not reach the filtering distance and the slope information does not reach the set rate of change threshold, determine the later historical information to be filtered in the adjacent historical monitoring information as non-critical monitoring information, and filter out the non-critical monitoring information from the set storage location.

2. The intelligent cable based on key sampling point management data according to claim 1, characterized in that, There are multiple time thresholds that can be set, and the larger the time threshold, the greater the filtering distance corresponding to the same rate of change.

3. A smart cable management method based on key sampling point management data, characterized in that, include: The system acquires cable monitoring information uploaded by the intelligent cable detection device and saves the cable monitoring information to a set storage location. The cable monitoring information is obtained by the intelligent cable detection device detecting the intelligent cable according to a set collection cycle. Historical monitoring information whose storage time has reached a set time threshold is determined from the cable monitoring information stored in the set storage location; The screening distance is determined based on the average rate of change between adjacent historical monitoring information, wherein the larger the value corresponding to the range of the average rate of change, the smaller the corresponding screening distance. Historical monitoring information whose corresponding value does not reach a set key information threshold is identified as historical information to be screened. The set key information threshold includes a maximum value and a minimum value of key information. Identifying historical monitoring information whose corresponding value does not reach the set key information threshold as historical information to be screened includes: identifying historical monitoring information whose value is greater than the maximum value or less than the minimum value of key information as key monitoring information, and identifying the remaining historical monitoring information as historical information to be screened. Based on the screening distance and the relationship between adjacent historical monitoring information... The sampling point distance, a set rate of change threshold, and the rate of change between adjacent historical monitoring information are used to determine non-critical monitoring information from the historical information to be screened. The sampling point distance between adjacent historical monitoring information is the time difference of the monitoring time corresponding to the adjacent historical monitoring information, and the rate of change between adjacent historical monitoring information is the slope information of the monitoring value corresponding to the adjacent historical monitoring information. The process of determining non-critical monitoring information from the historical information to be screened includes: when the sampling point distance does not reach the screening distance and the slope information does not reach the set rate of change threshold, the later historical information to be screened among the adjacent historical monitoring information is determined as non-critical monitoring information, and the non-critical monitoring information is screened out from the set storage location.

4. The intelligent cable management method based on key sampling point management data according to claim 3, characterized in that, There are multiple time thresholds that can be set, and the larger the time threshold, the greater the filtering distance corresponding to the same rate of change.

5. An intelligent cable management device based on key sampling point management data, characterized in that, include: Memory and one or more processors; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent cable management method based on key sampling point management data as described in any one of claims 3-4.

6. A storage medium for storing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the intelligent cable management method based on key sampling point management data as described in any one of claims 3-4.

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