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CN-121235850-B - Intelligent city-level water, electricity and gas comprehensive energy management platform

CN121235850BCN 121235850 BCN121235850 BCN 121235850BCN-121235850-B

Abstract

The invention relates to the technical field of energy management, in particular to a smart city level hydropower and gas comprehensive energy management platform which comprises an environment sensing module, a grid subdivision module, a functional area marking module, an energy distribution module, a storage behavior recognition module and an abnormal expansion judgment module, wherein the environment sensing module is used for determining typhoon radiation influence areas in a target city when the target city enters a typhoon mode, the grid subdivision module is used for dividing to obtain a plurality of corrected city land blocks, the functional area marking module is used for obtaining functional area marks of main types of the corrected city land blocks, the energy distribution module is used for obtaining the lowest storage reference value of typhoon daily unit electricity corresponding to each corrected city land block, the storage behavior recognition module is used for judging whether energy storage behaviors exist or not and determining storage behavior types when the energy storage behaviors exist, and the abnormal expansion judgment module is used for executing abnormal expansion judgment when a second duration risk level is obtained to obtain abnormal expansion judgment results. According to the invention, the intelligent management of urban energy distribution is realized by carrying out hoarding analysis and abnormal expansion judgment on typhoon radiation influence areas.

Inventors

  • LI HENG

Assignees

  • 中科绿云(广东)能源管理有限公司

Dates

Publication Date
20260508
Application Date
20250919

Claims (10)

  1. 1. An wisdom city level water, electricity and gas comprehensive energy management platform, which is characterized by comprising: The environment sensing module is used for acquiring typhoon-related meteorological data, judging whether a target city enters a typhoon mode, and determining a typhoon radiation influence area in the target city when the target city enters the typhoon mode; The grid sub-dividing module is connected with the environment sensing module and is used for obtaining and dividing the original grid dividing edge distance of each original urban land block when the target city enters a typhoon mode, and re-dividing the typhoon radiation influence area by taking a plurality of times of the original grid dividing edge distance as a secondary grid dividing edge distance to obtain a plurality of corrected urban land blocks; The functional area marking module is connected with the grid subdivision module and used for obtaining land planning categories of leading categories of the land plots of each corrected city based on the land classification standards of the city construction, and taking the leading categories as functional area marks; the energy distribution module is connected with the functional area marking module and used for obtaining the typhoon daily unit electricity minimum reserve reference value corresponding to the functional area marking of each corrected urban land block; The stocking behavior identification module is connected with the functional area marking module and the energy distribution module and is used for acquiring accumulated water, electricity and gas storage quantity when the functional area is marked as a third city construction land type, calculating a standard water, electricity and gas storage interval based on typhoon related meteorological data and a typhoon daily unit electricity minimum storage reference value, judging whether the energy stocking behavior exists or not based on the comparison result of the accumulated water, electricity and gas storage quantity and the standard water, electricity and gas storage interval, and determining the stocking behavior type when the energy stocking behavior exists; and the abnormal expansion judging module is connected with the stocking behavior identifying module and used for executing abnormal expansion judgment when the risk level of the second duration is obtained to obtain an abnormal expansion judging result.
  2. 2. The intelligent city level water, electricity and gas integrated energy management platform according to claim 1, wherein the environment sensing module comprises a meteorological data acquisition unit and a region determination unit; the meteorological data acquisition unit is used for acquiring typhoon related meteorological data comprising typhoon paths, wind speeds, wind directions, air pressures and radiation influence radiuses, and judging whether a target city enters a typhoon mode or not based on the typhoon related meteorological data; The region determining unit is used for determining a typhoon radiation influence region in the target city based on the typhoon-related meteorological data when the target city enters a typhoon mode.
  3. 3. The smart city level water, electricity and gas integrated energy management platform of claim 2, wherein the area determination unit comprises an area determination unit and an area generation unit; The regional judgment unit is used for judging a wind speed comparison result of the real-time wind speed at any position in the target city and a wind speed threshold value based on typhoon-related meteorological data when the target city enters a typhoon mode; The region generation unit is used for bringing the corresponding position in the target city into the typhoon radiation influence region when the first wind speed comparison result is obtained.
  4. 4. The intelligent city level water, electricity and gas integrated energy management platform according to claim 1, wherein the grid subdivision module comprises a starting position determining unit, a plane projection converting unit and a grid subdivision unit; the initial position determining unit is used for acquiring coordinate points of a longitude minimum value and a latitude maximum value in a typhoon radiation influence area and taking the coordinate points as grid division initial positions; The plane projection conversion unit is used for converting the typhoon radiation influence area from a spherical coordinate system to a plane projection coordinate system; The grid dividing unit is used for subdividing the typhoon radiation influence area with secondary grid dividing margins from left to right and from top to bottom based on the initial position.
  5. 5. The intelligent city level water, electricity and gas integrated energy management platform according to claim 1, wherein the functional area marking module comprises a dominant category determination unit and a functional area marking unit; The dominant category judging unit is used for obtaining the area of each land planning category in the grid where each corrected urban land parcel is located, calculating the electric reserve demand of each land planning category based on the typhoon daily unit electricity minimum reserve reference value corresponding to each land planning category, and taking the land planning category with the largest electric reserve demand as the dominant category; the functional area marking unit is used for marking the category name of the dominant category as the functional area of the modified urban land parcel.
  6. 6. The intelligent city level water, electricity and gas comprehensive energy management platform according to claim 1, wherein the stocking behavior identification module comprises a standard water, electricity and gas reserve interval calculation unit, a non-stocking behavior exclusion unit and a stocking behavior classification unit; The standard water, electricity and gas storage interval calculation unit is used for calculating a corresponding standard water, electricity and gas storage interval based on typhoon-related meteorological data and a typhoon daily unit electricity minimum storage reference value when the functional area of the corrected urban land block is marked as a third urban construction land type; the non-stocking behavior removal unit is used for obtaining accumulated water, electricity and gas reserve, and removing energy peak load not caused by the stocking behavior based on a comparison result of the accumulated water, electricity and gas reserve and a standard water, electricity and gas reserve interval; The storage behavior classifying unit is used for carrying out abnormal judgment on the peak energy load caused by the storage behavior after the non-storage behavior is eliminated, and determining the storage behavior category.
  7. 7. The intelligent city level water, electricity and gas comprehensive energy management platform according to claim 6, wherein the standard water, electricity and gas storage interval calculation unit comprises a correction coefficient calculation subunit and a standard interval drafting subunit; The correction coefficient calculation subunit is used for calculating an initial weather influence coefficient based on typhoon-related weather data; The standard interval simulation subunit is used for carrying out weighting operation on the typhoon daily unit electricity minimum reserve reference value and the initial meteorological influence coefficient, and determining an upper limit value and a lower limit value of the standard water, electricity and gas reserve interval.
  8. 8. The intelligent city level water, electricity and gas comprehensive energy management platform according to claim 6, wherein the stocking behavior classification unit comprises an abnormality determination subunit and an abnormality behavior classification subunit; The abnormality determination subunit is configured to, after excluding the non-stocking behavior, determine whether the stocking behavior is abnormal based on a duration when the accumulated water-gas reserve increase rate is greater than the standard water-gas reserve increase rate, and obtain a comparison result of the duration and a duration threshold; the abnormal behavior grading subunit is used for determining duration risk grades to which the duration belongs based on duration risk division standards when the abnormal behavior is judged to exist and recording the duration risk grades in the database.
  9. 9. The smart city level water, electricity and gas integrated energy management platform of claim 1, wherein the anomaly scaling-up determination module comprises a time-series plot preprocessing unit; the time sequence land block preprocessing unit is used for acquiring the corrected urban land block corresponding to the second duration risk level from the stocking behavior recognition module and generating a sequencing land block sequence according to the time sequence of risk occurrence.
  10. 10. The smart city level water, electricity and gas integrated energy management platform of claim 9, wherein the anomaly scaling-up determination module further comprises a chained diffusion analysis unit; The chained diffusion analysis unit is used for judging whether the current modified urban land block and the direct preface modified urban land block meet the adjacent side condition or not according to the ordered land block sequence block by block, and judging that the diffusibility accumulation behavior is abnormal when the number of times of continuously meeting the adjacent side condition is larger than a continuous adjacent threshold value; The direct preamble modified urban land parcels refer to the land parcels immediately preceding the current land parcels in the time sequencing result, and the adjacent edge condition is that a shared edge exists between the two modified urban land parcels.

Description

Intelligent city-level water, electricity and gas comprehensive energy management platform Technical Field The invention relates to the technical field of energy management, in particular to a smart city-level water, electricity and gas comprehensive energy management platform. Background Typhoons are typical strong convective weather disasters, and the path and intensity changes of typhoons have burstiness and uncertainty and often have a large influence on coastal and inland areas in a short time. In the process of typhoon logging in or approaching, under the action of factors such as continuous strong wind, strong precipitation, storm surge and the like, the infrastructure such as urban electric power, water supply, fuel gas and the like is easy to break or have reduced performance, so that the life, commercial operation and social order of residents are seriously affected. In the existing urban disaster prevention system, although the urban disaster prevention system has the functions of meteorological monitoring, path forecasting, emergency material storage and the like, before a disaster comes, the energy scheduling generally depends on experience or administrative instructions, and the urban disaster prevention system lacks an accurate and meshed storage demand judging mechanism based on different land planning categories, and has the following defects: The pertinence is lacking, namely, the difference of energy consumption intensity of residential areas, residential areas and commercial areas in electricity, water, gas and the like is not fully considered, so that the resource allocation priority is unreasonable; The space precision is insufficient, the energy reserve scheduling is usually carried out by taking administrative division as a unit, the non-uniformity of typhoon influence areas is ignored, and local high-risk areas are difficult to cover in time. Therefore, there is a need for a technical scheme that can determine that a target city enters a typhoon mode in real time in combination with typhoon meteorological data, and calculate accurate reserve demands of electricity, water and gas based on land planning category characteristics in a typhoon radiation influence area, so as to scientifically define a dominant functional area and guide energy scheduling, thereby improving disaster coping accuracy and efficiency. CN112859728A discloses an intelligent energy management platform, which comprises a heating system, a water supply system, a power supply system, a fuel supply system, a central processor, a cloud data system, a relational library server cluster, a big data analysis technology module, a whole network scheduling optimization module, a tracking assessment system, a big data analysis model and an energy consumption assessment system, wherein the energy consumption assessment system comprises a heating assessment module, a water supply assessment module, a power supply assessment module and a fuel supply assessment module, and a management platform provided by the fuel supply assessment module is based on the big data analysis technology and a PDCA complete energy management system, and a rationalized formulation of big data prediction rating index and a big data energy consumption dynamic model are provided based on the big data technology. Meanwhile, the existing energy management technology has the defects that a scoring model judges abnormality only through deviation of actual consumption and a predicted value, normal peaks caused by bad weather cannot be distinguished from abnormal energy consumption caused by artificial accumulation, a static prediction model only depends on user quantity and air temperature to construct a linear equation, an adjustment mechanism for coping with short-time sudden increases is lacking, in abnormal diffusion judgment, the prior art adopts unified global alarm, chain transmission of accumulation behaviors along adjacent areas is ignored, and a response mode is inscribed. Disclosure of Invention Therefore, the invention provides a smart city-level water, electricity and gas comprehensive energy management platform, which is used for solving the problems that in the prior art, the storage behavior and normal peak energy consumption under disaster scenes cannot be distinguished, and the storage behavior diffusion path is difficult to predict, so that energy allocation is uneven and regional operation and inspection are delayed. In order to achieve the above purpose, the present invention provides a smart city-level comprehensive energy management platform for water, electricity and gas, comprising: The environment sensing module is used for acquiring typhoon-related meteorological data, judging whether a target city enters a typhoon mode, and determining a typhoon radiation influence area in the target city when the target city enters the typhoon mode; The grid sub-dividing module is connected with the environment sensing module and is used for obtai