Intelligent cable terminal field management system based on Internet of Things

Abstract

The invention discloses an intelligent cable terminal field management system based on the Internet of Things, and particularly relates to the field of electric power facility management, and the system comprises a cable terminal field collection module, a data preprocessing module, an energy consumption analysis module, an early warning processing module, an intelligent analysis decision module, an emergency processing module, and a management decision output module. According to the intelligent cable terminal field management system based on the Internet of Things, second cable data are obtained through the early warning processing module and compared with historical data, and the problems that an electric power operation safety threshold value is not clear in definition and an early warning mechanism is not sound are solved; a decision analysis model is obtained through the intelligent analysis decision module, and comprehensive evaluation is carried out based on multiple modes, so that the problems of insufficient decision basis and untimely risk identification in a complex power scene are solved, and the intelligent level of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power facility management, and more specifically, to an intelligent cable terminal field management system based on the Internet of Things. Background Art

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

[0003] With the continuous growth of electricity demand and the continuous expansion of the power grid, the traditional cable terminal management method can no longer meet the increasingly complex power operation requirements. The cable terminal management system reduces the frequency and cost of manual inspections and improves the speed and accuracy of fault response through remote monitoring and fault warning of the cable terminal field. Managers can obtain the operation information of the cable terminal field anytime and anywhere through remote terminals and make decisions quickly.

[0004] However, there are still some shortcomings in its actual use. For example, the Internet of Things involves a large amount of data transmission and storage, and the operating data of the cable terminal field contains important power system information. Once the data is leaked or tampered with, it will pose a serious threat to the safe operation of the power system; sensors will have measurement errors under complex environmental conditions, affecting the accuracy of monitoring data, and thus leading to misjudgments and wrong management decisions; when faced with complex power operation scenarios and emergencies, the system's intelligent analysis and decision-making capabilities need to be improved. Summary of the invention

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

[0006] To achieve the above object, the present invention provides the following technical solutions: An intelligent cable terminal field management system based on the Internet of Things, including a system operation database, a system central processing module and a user information terminal, and also includes: Cable terminal field acquisition module: 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 set sensors in the cable terminal field, and integrate them into the first cable data; Data preprocessing module: used for preprocessing the first cable data, and the preprocessing is used for obtaining first key data corresponding to the first cable data; Energy consumption analysis module: used to obtain an energy consumption analysis model, and obtain the first power energy consumption corresponding to the first cable data through the first key data according to the energy consumption analysis model; Early warning processing module: obtains second cable data, and analyzes and determines the first power consumption corresponding to the first cable data according to the second cable data to obtain an early warning analysis result, wherein the second cable data is used to define a power threshold; Intelligent analysis and decision module: obtain a decision analysis model, and obtain second key data based on the first power energy consumption and early warning analysis results corresponding to the first cable data according to the decision analysis model, the second key data including the change of the first power energy consumption in different time periods, the energy consumption performance under various load modes and environmental modes, and the potential risk factors indicated in the early warning analysis results; Emergency processing module: used to obtain emergency plans, analyze and judge the second key data, and coordinate terminal resources; Management decision output module: used to output the analysis results generated by the intelligent analysis and 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 time and take corresponding measures to deal with it; The system operation database includes all data texts of the intelligent cable terminal field management system, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is the information output device transmitted by the management decision output module.

[0007] Preferably, the first cable data is integrated in the cable terminal field acquisition module, specifically including: adopting multi-source data acquisition technology, distributing the cable terminal field data acquisition tasks to the target data source area for parallel operation, the target data source area includes various types of power equipment in the cable terminal field and sensors arranged at different positions in the cable terminal field, the target data source area establishes a data connection channel with the help of standardized data communication protocols and interfaces for integration, so as to obtain the first cable data.

[0008] Preferably, the first cable data includes current and voltage parameters of the cable, power factor of the cable, ambient temperature, humidity, electromagnetic field strength, operating time of environmental parameter equipment, and equipment status identification.

[0009] Preferably, the energy consumption analysis model is obtained in the energy consumption analysis module, including: based on the first key data, feature extraction and classification of 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 environmental 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.

[0010] Preferably, the second cable data is obtained in the early warning processing module, wherein the second cable data covers a series of key parameters and standards for defining the power operation safety threshold determined based on the first power energy consumption, the operating status of the cable terminal in the first cable data, and the historical data stored in a preset cable terminal database.

[0011] Preferably, the decision analysis model is obtained in the intelligent analysis decision module, including: obtaining the decision scenario classification corresponding to the second key data, obtaining the decision analysis model corresponding to the decision scenario classification, the decision scenario classification including the abnormal energy consumption fluctuation pattern, the long-term trend change pattern and the emergency risk warning mode; wherein in the decision analysis model corresponding to the abnormal energy consumption fluctuation pattern, the abnormal fluctuation of the first electric energy consumption within a preset short-term period of time is the analysis factor with the largest weight; in the decision analysis model corresponding to the long-term trend change pattern, the gradual increase or decrease trend of the first electric energy consumption within a preset longer time period is the analysis factor with the largest weight; in the decision analysis model corresponding to the emergency risk warning mode, the serious safety risk situation shown in the warning analysis result is the analysis factor with the largest weight.

[0012] Preferably, an emergency plan is obtained in the emergency processing module, wherein the emergency plan is formulated based on various emergency situations and fault types stored in a preset cable terminal database, combined with fault response strategies and processes, and industry standards and specifications.

[0013] Preferably, the management decision output module is also used to display real-time data charts and status information through the monitoring screen, push notifications and reports through mobile applications, and issue sound and light alarms through the automatic alarm system based on the cable terminal management decision report.

[0014] Technical effects and advantages of the present invention: 1. The present invention obtains the second cable data through the early warning processing module and compares it with the historical data, which solves the problems of unclear definition of power operation safety threshold and imperfect early warning mechanism, and enhances the prevention ability of the system; 2. The present invention obtains the decision analysis model through the intelligent analysis and decision-making module and performs comprehensive evaluation based on multiple modes, which solves the problems of insufficient decision-making basis and untimely risk identification in complex power scenarios and improves the intelligence level of the system; 3. The present invention obtains emergency plans and coordinates terminal resources through the emergency processing module, solves the problems of slow response speed and irregular processing flow in emergency situations, and improves the emergency response capability and recovery efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a system flow chart of the present invention; Figure 2 It is a system step diagram of the present invention; Figure 3 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0018] In the following, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0019] As attached Figure 1 An intelligent cable terminal field management system based on the Internet of Things is shown, including 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.

[0020] Specifically, the system operation database includes all data texts of the intelligent cable terminal field management system, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is an information output device for receiving the intelligent cable terminal field management system.

[0021] 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 installed sensors in the cable terminal field, and integrate them into the first cable data.

[0022] In a possible implementation, the first cable data is integrated in the cable terminal field acquisition module, specifically including: adopting multi-source data acquisition technology, distributing the cable terminal field data acquisition tasks to the target data source area for parallel operation, the target data source area includes various types of power equipment in the cable terminal field, and sensors arranged at different positions in the cable terminal field, the target data source area establishes a data connection channel with the help of standardized data communication protocols and interfaces for integration, so as to obtain the first cable data.

[0023] In a possible implementation, the power equipment in the cable terminal field acquisition module includes cable connectors, distribution cabinets, and transformers. The key parameters of the cable terminal equipment include current size, voltage value, and power factor; sensors at different positions in the terminal field include temperature sensors, humidity sensors, and electromagnetic field sensors. Real-time monitoring of environmental data near the terminal field includes ambient temperature, humidity, and electromagnetic field strength; the first cable data includes the current and voltage parameters of the cable, the power factor of the cable, ambient temperature, humidity, electromagnetic field strength, environmental parameter equipment operating time, and equipment status identification.

[0024] The data preprocessing module is used to preprocess the first cable data, and the preprocessing is used to obtain first key data corresponding to the first cable data.

[0025] Specifically, after acquiring the first cable data transmitted by the cable terminal field acquisition module, the data preprocessing module acquires the first key data corresponding to the first cable data through a preprocessing operation; the preprocessing steps are as follows: Data cleaning: remove noise data, outliers and erroneous data from the first cable data, retain only valid and accurate data information, and standardize the data format, converting data from different sources and formats into a standard format to eliminate differences in data formats; In this embodiment, sensor data that obviously deviates from the normal range is corrected; Data dimensionality reduction: Use principal component analysis to retain the main feature information and reduce the complexity of the data; Feature extraction: extracting features from the first cable data that can reflect the operating status and environmental conditions of the cable terminal equipment as the first key data; In this embodiment, for temperature data, the average value, maximum value, and minimum value of the temperature are extracted; for current data, the effective value and peak value of the current are extracted; The energy consumption analysis module is used to obtain an energy consumption analysis model, and obtain the first power energy consumption corresponding to the first cable data through the first key data according to the energy consumption analysis model.

[0026] Specifically, the energy consumption analysis model is a pre-constructed learning model. By inputting the first key data into the energy consumption analysis model, the energy consumption analysis model obtains the first power consumption according to the first key data, and sends the first power consumption to the early warning processing module and the intelligent analysis and decision-making module.

[0027] In a possible implementation, a method for obtaining an energy consumption analysis model in an energy consumption analysis module specifically includes: performing feature extraction and classification on first cable data based on first key data to obtain a feature category corresponding to the first cable data, where the feature category is an energy consumption feature pattern corresponding to the first cable data, and the energy consumption feature pattern includes a load pattern, a time pattern, and an environmental pattern; obtaining an energy consumption analysis model corresponding to the feature category in a preset cable terminal database, where the preset cable terminal database is used to store the correspondence between the feature category and the energy consumption analysis model.

[0028] It should be noted that the load mode in the energy consumption characteristic mode reflects the energy consumption characteristics of the cable terminal equipment under different load conditions, including the differences in energy consumption under high load, medium load and low load; the time mode reflects the change pattern of energy consumption over time, including the energy consumption characteristics of different time periods, among which the division of different time periods includes the division of single-day time periods and the division of seasonal time periods in a year; the environmental mode takes into account the impact of environmental factors near the cable terminal field on energy consumption.

[0029] In this embodiment, the preset cable terminal database is constructed by training and analyzing a large amount of historical data, wherein each feature category is associated with a verified and optimized energy consumption analysis model.

[0030] The early warning processing module obtains the second cable data, and analyzes and determines the first power consumption corresponding to the first cable data according to the second cable data to obtain an early warning analysis result, wherein the second cable data is used to define a power threshold.

[0031] Specifically, the early warning processing module obtains the second cable data from the preset cable terminal database, and the second cable data covers a series of key parameters and standards for defining the power operation safety threshold determined based on the first power consumption, the operating status of the cable terminal in the first cable data, and the historical data stored in the preset cable terminal database.

[0032] In this embodiment, the second cable data includes the upper and lower limits of the current threshold under different load modes set for the current carrying capacity of the cable, and the temperature range threshold for setting the normal heat dissipation and insulation performance of the device.

[0033] Specifically, the early warning processing method in the early warning processing module includes: after obtaining the first power energy consumption corresponding to the first cable data, comparing it with the power operation safety threshold in the second cable data to analyze and obtain the changing trend of the cable energy consumption; if the value of the first power energy consumption exceeds the threshold range, or the changing trend of the energy consumption shows abnormal fluctuations, such as a sharp rise or fall in a short period of time, the early warning processing module generates detailed early warning analysis results, which include the level of the warning, possible cause analysis and recommended countermeasures.

[0034] In this embodiment, even if the energy consumption has not reached the normal threshold in high load mode, but the growth rate is too fast, an early warning will be triggered; if it is before or after the peak power consumption period, the threshold will be adjusted; if the terminal field environment temperature is too high or the humidity is too high, and the energy consumption also shows abnormal changes, the environmental factors will be immediately included in the early warning analysis to improve the accuracy of the early warning.

[0035] The intelligent analysis and decision module obtains a decision analysis model, and obtains second key data based on the first power energy consumption and early warning analysis results corresponding to the first cable data according to the decision analysis model. The second key data includes changes in the first power energy consumption in different time periods, energy consumption performance under various load modes and environmental modes, and potential risk factors suggested in the early warning analysis results.

[0036] In a possible implementation, a decision analysis model is obtained in the intelligent analysis and decision module, specifically including: based on the first power energy consumption and early warning analysis results corresponding to the first cable data, feature fusion and pattern recognition are performed on the first cable data to obtain a decision scenario classification corresponding to the second key data, the decision scenario classification including abnormal energy consumption fluctuation patterns, long-term trend change patterns, and emergency risk early warning patterns; in a preset cable terminal database, a decision analysis model corresponding to the decision scenario classification is obtained, and the preset cable terminal database is used to save the correspondence between the decision scenario classification and the decision analysis model.

[0037] It should be noted that the abnormal energy consumption fluctuation pattern in the decision-making scenario classification corresponding to the second key data mainly focuses on the abnormal fluctuation of the first power consumption that occurs in a short period of time, such as a sharp increase or decrease, and combines the reasons analyzed in the early warning analysis results to form a decision analysis model for rapid diagnosis and response to abnormal energy consumption fluctuations, analyzes the fault points and influencing factors, and provides corresponding emergency treatment suggestions to prevent the situation from further deteriorating; It should be noted that in the decision analysis model corresponding to the long-term trend change pattern corresponding to the second key data, the gradually increasing or decreasing trend of the first power consumption within a preset longer period of time is the analysis factor with the largest weight. The decision analysis model predicts the future development of the energy consumption trend based on historical data and industry experience; It should be noted that the serious safety risk situation shown in the warning analysis results in the decision-making analysis model corresponding to the emergency risk warning mode corresponding to the second key data is the analysis factor with the largest weight. Priority is given to the safe operation of the power system, emergency response strategies are quickly formulated, and the scope of impact and degree of loss are evaluated.

[0038] In a possible implementation, the intelligent analysis and decision module obtains the second key data according to the decision analysis model based on the first power energy consumption corresponding to the first cable data and the warning analysis result, specifically including: receiving the first power energy consumption corresponding to the first cable data and the warning analysis result transmitted by the warning processing module, and obtaining the inherent law of the first power energy consumption through time series analysis technology on data of multiple dimensions according to the corresponding decision analysis model, and identifying the trend change of energy consumption through cluster analysis of long-term data; marking and organizing according to different decision scenario classifications, and refining them into second key data.

[0039] The emergency processing module is used to obtain emergency plans, analyze and judge the second key data, and coordinate terminal resources.

[0040] In one possible implementation, the emergency processing module obtains an emergency plan from a preset cable terminal database. The emergency plan is based on various emergency situations and fault types stored in the preset cable terminal database, combined with fault response strategies and processes, and industry standards and specifications.

[0041] In a possible implementation, the emergency processing module analyzes and judges the second key data transmitted by the intelligent analysis and decision module, determines the emergency plan that needs to be activated, and immediately coordinates terminal resources, including human, material and technical resources.

[0042] In this embodiment, in terms of human resources, relevant personnel are notified and maintenance personnel are arranged to go to the fault site to repair the equipment, and technical experts provide remote technical support and fault diagnosis guidance.

[0043] In this embodiment, in terms of material resources, the required equipment and materials are deployed, including spare cables, maintenance tools, and emergency power supplies, to ensure that there are sufficient material guarantees when dealing with emergencies.

[0044] 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.

[0045] The management decision output module is used to output the analysis results generated by the intelligent analysis and 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.

[0046] Specifically, the output of the cable terminal management decision report in the management decision output module includes displaying real-time data charts and status information through a monitoring screen, pushing notifications and reports through a mobile application, and issuing sound and light alarms through an automatic alarm system.

[0047] As attached Figure 2 An intelligent cable terminal field management method based on the Internet of Things is shown, which is applied to the above-mentioned intelligent cable terminal field management system based on the Internet of Things, including: S1: collecting cable terminal field data, S2: preprocessing the 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.

[0048] S1: Collecting cable terminal field data: Obtaining the operating parameters of the power equipment and the environmental data near the cable terminal field through the power equipment and the installed sensors in the cable terminal field, and integrating them into the first cable data; S2: preprocessing the first cable data: preprocessing the first cable data, where the preprocessing is used to obtain first key data corresponding to the first cable data; S3: Analyze the energy consumption corresponding to the first cable data: obtain an energy consumption analysis model, and obtain the first power energy consumption corresponding to the first cable data through the first key data according to the energy consumption analysis model; S4: early warning processing: obtaining second cable data, and analyzing and judging the first power consumption corresponding to the first cable data according to the second cable data to obtain an early warning analysis result, wherein the second cable data is used to define a power threshold; S5: Obtaining decision through intelligent analysis: Obtaining a decision analysis model, and obtaining second key data according to the decision analysis model based on the first power energy consumption corresponding to the first cable data and the early warning analysis result, wherein the second key data includes the change of the first power energy consumption in different time periods, the energy consumption performance under various load modes and environmental modes, and the potential risk factors indicated in the early warning analysis result; S6: Obtain emergency plan: Analyze and judge the second key data, and coordinate terminal resources; S7: Output management decision: The analysis results generated by intelligent analysis and the judgment information obtained from early warning processing are output to the cable terminal management decision, so that the management personnel can obtain key information in time and take corresponding measures to deal with it.

[0049] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: 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 spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent cable terminal field management system based on the Internet of Things, including a system operation database, a system central processing module and a user information terminal, characterized in that: Also includes: Cable terminal field acquisition module: 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 set sensors in the cable terminal field, and integrate them into the first cable data; Data preprocessing module: used for preprocessing the first cable data, and the preprocessing is used for obtaining first key data corresponding to the first cable data; Energy consumption analysis module: used to obtain an energy consumption analysis model, and obtain the first power energy consumption corresponding to the first cable data through the first key data according to the energy consumption analysis model; Early warning processing module: obtains second cable data, and analyzes and determines the first power consumption corresponding to the first cable data according to the second cable data to obtain an early warning analysis result, wherein the second cable data is used to define a power threshold; Intelligent analysis and decision module: obtaining a decision analysis model, and obtaining second key data according to the decision analysis model based on the first power energy consumption and early warning analysis results corresponding to the first cable data, wherein the second key data includes the law and trend of the first power energy consumption in the cable terminal field; Emergency processing module: used to obtain emergency plans, analyze and judge the second key data, and coordinate terminal resources; Management decision output module: used to output the analysis results generated by the intelligent analysis and 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 time and take corresponding measures to deal with it; The system operation database includes all data texts of the intelligent cable terminal field management system, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is the information output device transmitted by the management decision output module.

2. According to claim 1, an intelligent cable terminal field management system based on the Internet of Things is characterized by: The cable terminal field acquisition module integrates the first cable data, including: Multi-source data acquisition technology is adopted to disperse the data acquisition tasks of the cable terminal field to the target data source area for parallel operation. The target data source area includes various power equipment in the cable terminal field and sensors installed at different positions in the cable terminal field. The target data source area establishes a data connection channel with the help of standardized data communication protocols and interfaces for integration to obtain the first cable data.

3. According to claim 2, an intelligent cable terminal field management system based on the Internet of Things is characterized by: The first cable data includes current and voltage parameters of the cable, power factor of the cable, ambient temperature, humidity, electromagnetic field strength, operating time of environmental parameter equipment, and equipment status identification.

4. According to claim 1, an intelligent cable terminal field management system based on the Internet of Things is characterized by: The energy consumption analysis module obtains an energy consumption analysis model, including: According to the first key data, feature extraction and classification are performed on the first cable data to obtain feature categories corresponding to the first cable data, where the feature categories are energy consumption feature modes corresponding to the first cable data, and the energy consumption feature modes include load modes, time modes, and environment modes; In a preset cable terminal database, an energy consumption analysis model corresponding to the feature category is obtained. The preset cable terminal database is used to store the corresponding relationship between the feature category and the energy consumption analysis model.

5. According to claim 1, an intelligent cable terminal field management system based on the Internet of Things is characterized by: The early warning processing module obtains the second cable data, wherein the second cable data covers key parameters and standards for defining the power operation safety threshold determined based on the first power energy consumption, the operating status of the cable terminal in the first cable data, and the historical data stored in the preset cable terminal database.

6. According to the intelligent cable terminal field management system based on the Internet of Things as claimed in claim 1, it is characterized by: The intelligent analysis and decision module obtains a decision analysis model, including: obtaining a decision scenario classification corresponding to the second key data, and obtaining a decision analysis model corresponding to the decision scenario classification, wherein the decision scenario classification includes an abnormal energy consumption fluctuation mode, a long-term trend change mode, and an emergency risk warning mode; Among them, in the decision analysis model corresponding to the abnormal fluctuation mode of energy consumption, the abnormal fluctuation of the first power energy consumption within the preset short-term duration is the analysis factor with the largest weight; In the decision analysis model corresponding to the long-term trend change mode, the gradually increasing or decreasing trend of the first power consumption within a preset longer time period is the analysis factor with the largest weight; In the decision analysis model corresponding to the emergency risk warning mode, the serious safety risk situation shown in the warning analysis results is the analysis factor with the largest weight.

7. According to claim 1, an intelligent cable terminal field management system based on the Internet of Things is characterized by: The emergency processing module obtains an emergency plan, wherein the emergency plan is formulated based on various emergency situations and fault types stored in a preset cable terminal database, combined with fault response strategies and processes, and industry standards and specifications.

8. According to the Internet of Things-based intelligent cable terminal field management system of claim 1, it is characterized by: The management decision output module is also used to display real-time data charts and status information through the monitoring screen, push notifications and reports through mobile applications, and issue sound and light alarms through the automatic alarm system based on the cable terminal management decision report.

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