An intelligent cable terminal field management system based on internet of things

Abstract

The application discloses an intelligent cable terminal field management system based on Internet of Things and concretely relates to the field of power facility management, and comprises a cable terminal field acquisition module, a data preprocessing module, an energy consumption analysis module, an early warning processing module, an intelligent analysis and decision module, an emergency processing module and a management decision output module.The intelligent cable terminal field management system based on Internet of Things obtains second cable data through the early warning processing module and compares the second cable data with historical data, thereby solving the problems of unclear definition of power operation safety threshold and imperfect early warning mechanism; the intelligent analysis and decision module obtains a decision analysis model and performs comprehensive evaluation based on multiple modes, thereby solving the problems of insufficient decision basis and untimely risk identification in a complex power scene and improving the intelligent level of the system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power facility management, more particularly, the present application relates to an intelligent cable terminal field management system based on the Internet of Things. BACKGROUND

[0002] With the rapid development of the Internet of Things technology, as the key energy supporting the operation of modern society, the stable supply and efficient management of electricity are particularly important. In the field of electric power, the cable terminal field as a key node of power transmission, its operation state is directly related to the power system. The use of Internet of Things technology to realize the intelligent management of cable terminal field can not only improve the operation efficiency and reliability of the power system, but also reduce the operation and maintenance cost, realize the real-time monitoring and fault warning of the cable terminal field.

[0003] With the continuous growth of power demand and the continuous expansion of power grid scale, the traditional cable terminal field management mode has been difficult to meet the increasingly complex power operation requirements. The cable terminal field management system reduces the frequency and cost of manual inspection and improves the speed and accuracy of fault response through remote monitoring and fault warning of the cable terminal field. Management personnel can obtain the operation information of the cable terminal field at any time and anywhere through the remote terminal and make quick decisions.

[0004] However, in actual use, there are still some shortcomings, such as the Internet of Things involves a large amount of data transmission and storage, the operation data of the cable terminal field contains important power system information, once the data is leaked or tampered, it will pose a serious threat to the safe operation of the power system; the sensor will have measurement error under complex environmental conditions, which will affect the accuracy of the monitoring data, and further lead to misjudgment and wrong management decisions; the intelligent analysis and decision-making ability of the system needs to be improved when facing complex power operation scenes and sudden situations. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the present application provides an intelligent cable terminal field management system based on the Internet of Things, which solves the problems raised in the background art through the following scheme.

[0006] In order to achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0007] An intelligent cable terminal field management system based on the Internet of Things, comprising a system operation database, a system central processing module and a user information terminal, further comprising:

[0008] The cable terminal field acquisition module is used to obtain the operation parameters of the power equipment and the environmental data of the cable terminal field through the power equipment and the set sensors of the cable terminal field, and integrate them into first cable data.

[0009] The data preprocessing module is configured to preprocess the first cable data to obtain first key data corresponding to the first cable data.

[0010] The energy consumption analysis module is configured to obtain an energy consumption analysis model, and obtain first power energy consumption corresponding to the first cable data according to the energy consumption analysis model and the first key data.

[0011] The early warning processing module is configured to obtain second cable data, and analyze and judge the first power energy consumption corresponding to the first cable data according to the second cable data to obtain early warning analysis results, wherein the second cable data is used to define a power threshold.

[0012] The intelligent analysis and decision module is configured to obtain a decision analysis model, and obtain second key data based on the first power energy consumption corresponding to the first cable data and the early warning analysis results according to the decision analysis model, wherein the second key data includes first power energy consumption changes in different time periods, energy consumption performance under various load modes and environmental modes, and potential risk factors indicated in the early warning analysis results.

[0013] The emergency processing module is configured to obtain an emergency plan, analyze and judge the second key data, and coordinate terminal resources.

[0014] The management decision output module is configured to output analysis results generated by the intelligent analysis and decision module and judgment information obtained by the early warning processing module into a cable terminal management decision report, so that management personnel can obtain key information in a timely manner and take corresponding measures for processing.

[0015] The system operation database includes all data texts of the intelligent cable terminal field management system, and collects information texts output by each module in real time. The system central processing module is configured to control information text instructions output by each module in the system. The user information terminal is an information output device for transmitting information output by the management decision output module.

[0016] Preferably, the cable terminal field acquisition module integrates the first cable data, specifically including: using a multi-source data acquisition technology, dispersing cable terminal field data acquisition tasks to target data source areas for parallel operation, the target data source areas including various power equipment of the cable terminal field and sensors arranged at different positions of the cable terminal field, and the target data source areas establishing data connection channels for integration by means of standardized data communication protocols and interfaces to obtain the first cable data.

[0017] Preferably, the first cable data includes current and voltage parameters of the cable, power factor of the cable, environmental temperature, humidity, electromagnetic field intensity, environmental parameter equipment running time, and equipment state identification.

[0018] Preferably, the energy consumption analysis module obtains an energy consumption analysis model, comprising: according to the first key data, performing feature extraction and classification on the first cable data to obtain a feature category corresponding to the first cable data, the feature category being an energy consumption feature mode corresponding to the first cable data, and the energy consumption feature mode including a load mode, a time mode and an environment mode; and in a preset cable terminal database, obtaining an energy consumption analysis model corresponding to the feature category, the preset cable terminal database being used to save a corresponding relationship between the feature category and the energy consumption analysis model.

[0019] Preferably, the early warning processing module obtains second cable data, wherein the second cable data covers a series of key parameters and standards used to define a power operation safety threshold determined according to the first power energy consumption, the running state of the cable terminal in the first cable data and historical data stored in the preset cable terminal database.

[0020] Preferably, the intelligent analysis and decision module obtains a decision analysis model, comprising: obtaining a decision scene classification corresponding to the second key data, obtaining a decision analysis model corresponding to the decision scene classification, and the decision scene classification including an energy consumption abnormal fluctuation mode, a long-term trend change mode and an emergency risk early warning mode; wherein an abnormal fluctuation of the first power energy consumption within a preset short-term duration in the decision analysis model corresponding to the energy consumption abnormal fluctuation mode is the most important analysis factor; a gradual rising or falling trend of the first power energy consumption within a preset longer time period in the decision analysis model corresponding to the long-term trend change mode is the most important analysis factor; and a serious safety risk shown in the early warning analysis result in the decision analysis model corresponding to the emergency risk early warning mode is the most important analysis factor.

[0021] Preferably, the emergency processing module obtains an emergency plan, wherein the emergency plan is based on various emergency situations and fault types stored in the preset cable terminal database, combined with fault coping strategies and processes, and industry standards and specifications.

[0022] Preferably, the management decision output module is further used to output a cable terminal management decision report, display real-time data charts and state information through a monitoring screen, push notifications and reports through a mobile application, and issue sound and light alarms through an automatic alarm system.

[0023] Technical effects and advantages of the present application:

[0024] 1、The present application obtains second cable data through the early warning processing module and compares the second cable data with historical data, thereby solving the problems of unclear definition of a power operation safety threshold and imperfect early warning mechanism, and enhancing the prevention capability of the system.

[0025] 2、The application obtains a decision analysis model through an intelligent analysis decision module and performs comprehensive evaluation based on multiple modes, solves the problems of insufficient decision basis and untimely risk identification in a complex power scenario, and improves the intelligent level of the system;

[0026] 3、The application obtains an emergency plan through an emergency processing module and coordinates terminal resources, solves the problems of slow response speed and non-standard processing flow in an emergency, and improves the emergency response capability and recovery efficiency of the system. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is a system flowchart of the application;

[0028] Figure 2 is a system step diagram of the application;

[0029] Figure 3 is a system structure schematic diagram of the application. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the application.

[0031] The terms used in the following embodiments of the application are only for the purpose of describing the specific embodiments of the application, and are not intended to be limiting to the application. As used in the specification of the application, the singular expression "one", "a", "said", "the above", "the", and "this" is intended to also include the plural expression, unless there is clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the application means and includes any or all possible combinations of one or more listed items.

[0032] Hereinafter, the terms "first", "second", and "third" are only used for description purposes, and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second", and "third" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0033] As shown in the accompanying Figure 1The illustrated intelligent cable terminal field management system based on the Internet of Things comprises a cable terminal field acquisition module, a data preprocessing module, an energy consumption analysis module, a warning processing module, an intelligent analysis and decision module, an emergency processing module, and a management decision output module.

[0034] Specifically, the system operation database comprises all data texts of the intelligent cable terminal field management system, and real-time collection of information texts output by each module. The system central processing module is used for controlling the information text instructions output by each module in the system. The user information terminal is an information output device receiving the intelligent cable terminal field management system.

[0035] The cable terminal field acquisition module is used to obtain the operating parameters of the power equipment and the environmental data of the cable terminal field through the power equipment and the sensors arranged in the cable terminal field, and to integrate the first cable data.

[0036] In a possible implementation, the first cable data is integrated in the cable terminal field acquisition module, specifically comprising: using a multi-source data acquisition technology, dispersing the cable terminal field data acquisition task to the target data source area for parallel operation, the target data source area comprising various types of power equipment in the cable terminal field and sensors arranged at different positions in the cable terminal field, and the target data source area establishing a data connection channel through a standardized data communication protocol and interface for integration to obtain the first cable data.

[0037] In a possible implementation, the power equipment in the cable terminal field acquisition module comprises a cable joint, a power distribution cabinet, and a transformer. The key parameters of the cable terminal equipment include current size, voltage value, and power factor. The sensors at different positions in the terminal field include temperature sensors, humidity sensors, and electromagnetic field sensors. The real-time monitoring of the environmental data near the terminal field includes environmental temperature, humidity, and electromagnetic field intensity. The first cable data includes the current and voltage parameters of the cable, the power factor of the cable, the environmental temperature, the humidity, the electromagnetic field intensity, the environmental parameter equipment running time, and the equipment state identifier.

[0038] The data preprocessing module is used to preprocess the first cable data, and the preprocessing is used to obtain the first key data corresponding to the first cable data.

[0039] Specifically, after the data preprocessing module obtains the first cable data transmitted by the cable terminal field acquisition module, the first key data corresponding to the first cable data is obtained through preprocessing operation. The preprocessing steps are as follows:

[0040] Data cleaning: remove noise data, outliers and error data in the first cable data, only keep valid and accurate data information, and perform data format standardization, unify different sources and formats of data into standard format to eliminate the difference of data format;

[0041] In this embodiment, the sensor data deviating from the normal range is corrected;

[0042] Data dimensionality reduction: principal component analysis is used to retain the main feature information and reduce the complexity of the data;

[0043] Feature extraction: extract the features in the first cable data that can reflect the running state and environmental conditions of the cable terminal device as the first key data;

[0044] In this embodiment, for temperature data, the average, maximum and minimum values of temperature are extracted; for current data, the effective value and peak value of current are extracted;

[0045] The energy consumption analysis module is used to obtain an energy consumption analysis model, and according to the energy consumption analysis model, the first power energy consumption corresponding to the first cable data is obtained through the first key data.

[0046] Specifically, the energy consumption analysis model is a learning model constructed in advance, by inputting the first key data into the energy consumption analysis model, the energy consumption analysis model obtains the first power energy consumption according to the first key data, and sends the first power energy consumption to the early warning processing module and the intelligent analysis and decision module.

[0047] In one possible implementation, the method for obtaining the energy consumption analysis model in the energy consumption analysis module specifically includes: according to the first key data, performing feature extraction and classification on the first cable data to obtain a feature category corresponding to the first cable data, the feature category is an energy consumption feature mode corresponding to the first cable data, and the energy consumption feature mode includes a load mode, a time mode and an environment mode; in a preset cable terminal database, an energy consumption analysis model corresponding to the feature category is obtained, and the preset cable terminal database is used to save the correspondence between the feature category and the energy consumption analysis model.

[0048] It should be noted that the load mode in the energy consumption feature mode reflects the energy consumption characteristics of the cable terminal device under different load conditions, including the energy consumption differences under high load, medium load and low load; the time mode reflects the change law of energy consumption with time, including the energy consumption characteristics of different time periods, wherein the division of different time periods includes the division of single-day time periods and the division of seasonal time periods in a year; and the environment mode considers the influence of environmental factors near the cable terminal field on energy consumption.

[0049] In the embodiment, the preset cable terminal database is constructed by a large amount of historical data training and analysis, wherein each feature category is associated with a verified and optimized energy consumption analysis model.

[0050] The early warning processing module acquires second cable data, and analyzes and judges the first power energy consumption corresponding to the first cable data according to the second cable data, to acquire early warning analysis results, and the second cable data is used to define a power threshold.

[0051] Specifically, the early warning processing module acquires second cable data from the preset cable terminal database, and the second cable data covers a series of key parameters and standards for defining power operation safety thresholds determined according to the first power energy consumption, the running state of the cable terminal in the first cable data, and historical data stored in the preset cable terminal database.

[0052] In the embodiment, the second cable data covers the upper and lower limits of the current threshold in different load modes set for the current carrying capacity of the cable, and the temperature range threshold set for the normal heat dissipation and insulation performance of the equipment.

[0053] Specifically, the early warning processing method in the early warning processing module specifically includes: after acquiring the first power energy consumption corresponding to the first cable data, comparing the first power energy consumption with the power operation safety threshold in the second cable data, to analyze and acquire the change trend of the cable energy consumption; if the value of the first power energy consumption exceeds the threshold range, or the change trend of the energy consumption presents abnormal fluctuation, such as sharp rise or fall in a short time, the early warning processing module generates detailed early warning analysis results, and the early warning analysis results include the level of early warning, possible cause analysis and suggested countermeasures.

[0054] In the embodiment, if in the high load mode, even if the energy consumption has not reached the conventional threshold, but the growth rate is too fast, the early warning will be triggered; if the threshold is adjusted before and after the power consumption peak period; if the terminal field environment temperature is too high or the humidity is too large, and the energy consumption also appears abnormal change, the environmental factors are immediately included in the early warning analysis, to improve the accuracy of the early warning.

[0055] The intelligent analysis and decision module acquires a decision analysis model, and acquires second key data based on the first power energy consumption corresponding to the first cable data and the early warning analysis results according to the decision analysis model, and the second key data includes the change of the first power energy consumption in different time periods, the energy consumption performance in various load modes and environment modes, and the potential risk factors prompted in the early warning analysis results.

[0056] In a possible implementation, the intelligent analysis decision module acquires the decision analysis model, specifically including: according to the first power energy consumption corresponding to the first cable data and the early warning analysis result, performing feature fusion and pattern recognition on the first cable data to acquire a decision scene classification corresponding to the second key data, the decision scene classification including an energy consumption abnormal fluctuation mode, a long-term trend change mode and an emergency risk early warning mode; in the preset cable terminal database, acquiring a decision analysis model corresponding to the decision scene classification, the preset cable terminal database being used to save a corresponding relationship between the decision scene classification and the decision analysis model.

[0057] It should be noted that the energy consumption abnormal fluctuation mode in the decision scene classification corresponding to the second key data mainly focuses on the similar abnormal fluctuation situation that the first power energy consumption greatly rises or falls in a short term, and combines the reasons analyzed in the early warning analysis result to be applied to a decision analysis model for quickly diagnosing and responding to the energy consumption abnormal fluctuation, analyzes the fault point and the influencing factor, and provides a corresponding emergency treatment suggestion to prevent the situation from further deteriorating.

[0058] It should be noted that the long-term trend change mode corresponding to the decision analysis model corresponding to the second key data mainly analyzes the gradual rising or falling trend of the first power energy consumption in a preset longer time period, and the decision analysis model is based on historical data and industry experience to predict the future development of the energy consumption trend.

[0059] It should be noted that the serious safety risk situation shown in the early warning analysis result is the most important analysis factor in the decision analysis model corresponding to the emergency risk early warning mode corresponding to the second key data, and the safe operation of the power system is given priority to, an emergency response strategy is quickly formulated, and the influence range and loss degree caused are evaluated.

[0060] In a possible implementation, the intelligent analysis decision module acquires the second key data according to the decision analysis model and based on the first power energy consumption corresponding to the first cable data and the early warning analysis result, specifically including: receiving the first power energy consumption corresponding to the first cable data and the early warning analysis result transmitted by the early warning processing module, acquiring the internal law of the first power energy consumption by time series analysis technology on multiple dimensions of data according to the corresponding decision analysis model, and identifying the trend change of the energy consumption by clustering analysis on long-term data; according to different decision scene classifications, the second key data is labeled, sorted and refined.

[0061] The emergency treatment module is used to acquire an emergency plan, analyze and judge the second key data, and coordinate terminal resources.

[0062] In one possible implementation, the emergency response module retrieves an emergency plan from a pre-set cable terminal database. The emergency plan is formulated based on various emergency situations and fault types stored in the pre-set cable terminal database, combined with fault response strategies and procedures, as well as industry standards and specifications.

[0063] In one possible implementation, the emergency response module analyzes and judges the second key data transmitted by the intelligent analysis and decision-making module to determine the emergency plan that needs to be activated. The emergency response module immediately coordinates terminal resources, including human, material and technical resources.

[0064] In this embodiment, regarding human resources, relevant personnel are notified, maintenance personnel are arranged to go to the fault site to carry out emergency repairs on the equipment, and technical experts provide remote technical support and fault diagnosis guidance.

[0065] In this embodiment, in terms of material resources, the necessary equipment and materials are allocated, including backup cables, maintenance tools, and emergency power supplies, to ensure sufficient material support when dealing with emergencies.

[0066] In this embodiment, in terms of technical resources, relevant technical systems and platforms, including monitoring systems and data analysis tools, are coordinated to provide real-time data support and technical means.

[0067] The management decision output module is used to output the analysis results generated by the intelligent analysis decision module and the judgment information obtained by the early warning processing module into a cable terminal management decision report, so that managers can obtain key information in a timely manner and take corresponding measures to deal with it.

[0068] Specifically, the management decision output module outputs cable terminal management decision reports, including displaying real-time data charts and status information on a monitoring screen, pushing notifications and reports via a mobile application, and issuing audible and visual alarms through an automatic alarm system.

[0069] As attached Figure 2 The method for intelligent cable terminal field management based on the Internet of Things (IoT) is shown and applied to the aforementioned intelligent cable terminal field management system based on IoT. It includes: S1: collecting cable terminal field data; S2: preprocessing first cable data; S3: analyzing the energy consumption corresponding to the first cable data; S4: early warning processing; S5: intelligent analysis to obtain decisions; S6: obtaining emergency plans; and S7: outputting management decisions.

[0070] S1: Collect cable terminal field data: Obtain the operating parameters of the power equipment and the environmental data near the cable terminal field through the power equipment and sensors installed in the cable terminal field, and integrate them into the first cable data;

[0071] S2: preprocessing the first cable data: preprocessing the first cable data to obtain the first key data corresponding to the first cable data;

[0072] S3: analyzing the energy consumption corresponding to the first cable data: obtaining an energy consumption analysis model, and obtaining the first power energy consumption corresponding to the first cable data according to the energy consumption analysis model through the first key data;

[0073] S4: early warning processing: obtaining second cable data, and analyzing and judging the first power energy consumption corresponding to the first cable data according to the second cable data to obtain early warning analysis results, the second cable data being used to define a power threshold;

[0074] S5: obtaining a decision through intelligent analysis: obtaining a decision analysis model, and obtaining second key data based on the first power energy consumption corresponding to the first cable data and the early warning analysis results according to the decision analysis model, the second key data including the first power energy consumption change in different time periods, the energy consumption performance under various load modes and environment modes, and potential risk factors prompted in the early warning analysis results;

[0075] S6: obtaining an emergency plan: analyzing and judging the second key data, and coordinating terminal resources;

[0076] S7: outputting a management decision: outputting the analysis results generated by intelligent analysis and the judgment information obtained by early warning processing to a cable terminal management decision, so that management personnel can obtain key information in time and take corresponding measures for processing.

[0077] Secondly, in the drawings of the disclosed embodiments, only structures related to the disclosed embodiments are involved, other structures can be referred to the general design, and the same embodiments and different embodiments of the present application can be combined with each other under the condition of no conflict;

[0078] Finally, the above only describes the preferred embodiments of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent cable terminal field management system based on Internet of Things, comprising a system operation database, a system central processing module and a user information terminal, characterized in that, Also include: Cable terminal field acquisition module: for through the power equipment and the sensor of cable terminal field, get the operating parameters of power equipment and the environmental data of cable terminal field, integration as the first cable data; Data preprocessing module: for preprocessing the first cable data, preprocessing is used to obtain the first key data corresponding to the first cable data; Energy consumption analysis module: for obtaining an energy consumption analysis model, obtaining the first power energy consumption corresponding to the first cable data through the first key data according to the energy consumption analysis model; The energy consumption analysis module includes: According to the first key data, the feature extraction and classification of the first cable data are carried out to obtain the feature category corresponding to the first cable data, the feature category is the energy consumption feature mode corresponding to the first cable data, and the energy consumption feature mode includes load mode, time mode and environment mode; In the preset cable terminal database, the energy consumption analysis model corresponding to the feature category is obtained, and the preset cable terminal database is used to save the corresponding relationship between the feature category and the energy consumption analysis model; Early warning processing module: obtaining second cable data, and analyzing and judging the first power energy consumption corresponding to the first cable data according to the second cable data, to obtain early warning analysis result, the second cable data is used to define power threshold; The second cable data is obtained in the early warning processing module, wherein the second cable data covers the key parameters and standards for defining the power operation safety threshold determined according to the first power energy consumption, the running state of the cable terminal in the first cable data and the historical data stored in the preset cable terminal database; Intelligent analysis and decision module: obtaining decision analysis model, obtaining second key data based on first power energy consumption corresponding to first cable data and early warning analysis result according to decision analysis model, second key data includes the rule and trend of first power energy consumption in cable terminal field; The decision analysis model is obtained in the intelligent analysis and decision module, including: obtaining the decision scene classification corresponding to the second key data, obtaining the decision analysis model corresponding to the decision scene classification, and the decision scene classification includes energy consumption abnormal fluctuation mode, long-term trend change mode and emergency risk early warning mode; Emergency processing module: for obtaining emergency plan, analyzing and judging second key data, and coordinating terminal resources; The emergency plan is obtained in the emergency processing module, wherein the emergency plan is based on various emergency situations and fault types stored in the preset cable terminal database, combined with fault coping strategy and process, and industry standard and specification; Management decision output module: for outputting the analysis result generated by the intelligent analysis and decision module and the judgment information obtained by the early warning processing module to the cable terminal management decision report, so that the management personnel can obtain key information in time and take corresponding measures for processing; The system operation database includes all data texts of the intelligent cable terminal field management system, and real-time collects the information texts output by each module, the system central processing module is used for controlling the information text instructions output by each module in the system, and the user information end is the information output device transmitted by the management decision output module. 2.The intelligent cable terminal field management system based on Internet of Things according to claim 1, characterized in that: The cable terminal field acquisition module integrates first cable data, including: Using multi-source data acquisition technology, the cable terminal field data acquisition task is dispersed to the target data source area for parallel operation, the target data source area includes various types of power equipment of the cable terminal field and sensors arranged at different positions of the cable terminal field, and the target data source area establishes a data connection channel through a standardized data communication protocol and interface for integration to obtain the first cable data. 3.The intelligent cable terminal field management system based on Internet of Things according to claim 2, characterized in that: The first cable data includes current and voltage parameters of the cable, power factor of the cable, environmental temperature, humidity, electromagnetic field intensity, environmental parameter equipment running time, and equipment state identification. 4.The intelligent cable terminal field management system based on Internet of Things according to claim 1, characterized in that: In the decision analysis model corresponding to the energy consumption abnormal fluctuation mode, the abnormal fluctuation of the first power energy consumption within the preset short-term length is the most important analysis factor; In the decision analysis model corresponding to the long-term trend change mode, the gradual rising or falling trend of the first power energy consumption within the preset long-term cycle is the most important analysis factor; In the decision analysis model corresponding to the emergency risk early warning mode, the serious safety risk shown in the early warning analysis result is the most important analysis factor. 5.The intelligent cable terminal field management system based on Internet of Things according to claim 1, characterized in that: The management decision output module is also used for cable terminal management decision report, real-time data charts and state information are displayed through a monitoring screen, notifications and reports are pushed through a mobile application, and sound and light alarms are sent through an automatic alarm system.

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