CN107479959B - Smart city management system - Google Patents
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Abstract
The invention provides a smart city management system, which comprises an access layer positioned at the top layer, a scheduling service layer positioned at the lower layer of the access layer and a data interface layer positioned at the bottom layer, wherein each layer provides interface packaging service upwards and calls an interface of the next layer; the access layer is used for realizing access of various intelligent terminal devices to the smart city management system, the service scheduling layer is used for providing different services to meet access requests of the access layer, and the data interface layer is a bottom service interface of the smart city management system and used for acquiring smart city information. The invention has the beneficial effects that: and the urban management system is subjected to hierarchical processing, so that the urban management efficiency is improved.
Description
Technical Field
The invention relates to the technical field of city management, in particular to a smart city management system.
Background
With the progress of society and the development of scientific technology, the urbanization process is accelerated continuously, the urban scale is larger and larger, and a new challenge is provided for urban management.
In recent years, people propose a concept of a smart city, which aims to improve the service level of the city, and how to effectively manage the city to improve the service level of the city does not have a complete solution.
Disclosure of Invention
In view of the above problems, the present invention provides a smart city management system.
The purpose of the invention is realized by adopting the following technical scheme:
the intelligent city management system comprises an access layer positioned at the top layer, a scheduling service layer positioned at the lower layer of the access layer and a data interface layer positioned at the bottom layer, wherein each layer provides interface packaging service upwards and calls an interface of the next layer; the access layer is used for realizing access of various intelligent terminal devices to the smart city management system, the service scheduling layer is used for providing different services to meet access requests of the access layer, and the data interface layer is a bottom service interface of the smart city management system and used for acquiring smart city information.
The invention has the beneficial effects that: and the urban management system is subjected to hierarchical processing, so that the urban management efficiency is improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic structural view of the present invention;
reference numerals:
access layer 1, dispatch service layer 2, data interface layer 3.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the smart city management system of this embodiment includes an access layer 1 located at the top layer, a scheduling service layer 2 located at the bottom layer of the access layer 1, and a data interface layer 3 located at the bottom layer, where each layer provides an interface encapsulation service upwards and calls an interface of the next layer; the access layer 1 is used for realizing access of various intelligent terminal devices to the smart city management system, the service scheduling layer 2 is used for providing different services so as to meet access requests of the access layer 1, and the data interface layer 3 is a bottom service interface of the smart city management system and is used for acquiring smart city information.
The embodiment carries out layered processing on the city management system, and improves the city management efficiency.
Preferably, the intelligent terminal device comprises a mobile terminal device and a computer.
The preferred embodiment provides various intelligent terminal devices, and the access mode is more various.
Preferably, the mobile terminal device includes a mobile phone and a tablet computer.
The preferred embodiment provides a plurality of mobile terminal devices, and access is more convenient.
Preferably, the smart city information comprises city building information, the city building information is acquired through a building management subsystem, the building management subsystem comprises a first building energy consumption classification module, a second building energy consumption data acquisition module, a third building energy consumption data processing module, a fourth building energy consumption analysis module and a fifth building classification management module, the first building energy consumption classification module is used for classifying the building energy consumption into heating energy consumption and non-heating energy consumption, the heating energy consumption is energy consumption generated by heating the building, the non-heating energy consumption is all energy consumption of the building except heating energy consumption, the second building energy consumption data acquisition module is used for acquiring the energy consumption data of the building, the third building energy consumption data processing module is used for processing the acquired building energy consumption data, the fourth building energy consumption analysis module is used for analyzing the building energy consumption condition according to the processing result, and the fifth building classification management module is used for performing classification management on the buildings according to the building energy consumption.
The urban building management subsystem of the preferred embodiment divides the building energy consumption into heating energy consumption and non-heating energy consumption, so that the situation of buildings in the south and the situation of buildings in summer are distinguished, the building energy consumption analysis efficiency is improved, and the scientific management of the building energy consumption is realized.
Preferably, the second building energy consumption data acquisition module includes a first basic information acquisition submodule, a second heating energy consumption statistics submodule and a third building monitoring submodule, the first basic information acquisition submodule is used for acquiring basic information of a building, the basic information includes a building area and a building floor, the second heating energy consumption statistics submodule is used for acquiring heating energy consumption of the building, and the third building monitoring submodule is used for acquiring non-heating energy consumption of the building; the third building energy consumption data processing module comprises a primary building energy consumption processing submodule and a secondary building energy consumption processing submodule, the primary building energy consumption processing submodule performs primary processing on the energy consumption data of the building, and the secondary building energy consumption processing submodule is used for performing secondary processing on the energy consumption data of the building according to a primary processing result.
Preferably, the preliminary processing is performed on the energy consumption data of the building, specifically: calculating single-layer heating energy consumption and single-layer non-heating energy consumption of the building according to the building floor, the heating energy consumption and the non-heating energy consumption of the building, and calculating unit area heating energy consumption and unit area non-heating energy consumption of the building according to the building area, the heating energy consumption and the non-heating energy consumption of the building; performing secondary processing on the energy consumption data of the buildings, wherein the secondary processing includes performing secondary processing on the energy consumption data of a single building and performing secondary processing on the energy consumption data of a building group;
the energy consumption data of the single building is secondarily processed by adopting the following mode: establishing an energy consumption factor of a single building:
in the formula, z1Representing the energy consumption of the individual heating of the building, z2The single-floor non-heating energy consumption of the building is represented, the M represents the floor number of the building, and the EH represents the single-floor energy consumption factor of the building.
The second building energy consumption data acquisition module of the preferred embodiment acquires basic information, heating energy consumption and non-heating energy consumption of the building, and lays a foundation for subsequent data processing and energy consumption analysis; the third building energy consumption data processing module analyzes the energy consumption conditions of the single-span buildings and the building groups, the application range and the field of the building energy consumption analysis system are improved, specifically, the relation between the building energy consumption and the floors is established by establishing the energy consumption factors of the single-span buildings, and the energy consumption of the single-span buildings can be analyzed more visually.
Preferably, the energy consumption data of the building group is secondarily processed by adopting the following steps: step 1, establishing a first energy consumption factor:
in the formula, xiRepresents the heating energy consumption per unit area of the ith building, yiThe unit area heating energy consumption of the ith building is represented, N represents the number of buildings of the building group, and EM represents a first energy consumption factor of the building group; step 2, establishing a second energy consumption factor:
in the formula, SiRepresenting the building area of the ith building, and YW representing a second energy consumption factor of the building group; step 3, calculating the energy consumption factor of the building group:
wherein m represents the area factor of the building group, L G represents the energy consumption factor of the building group, and the construction is carried out in pairsAnalyzing the building energy consumption condition by adopting the following modes: the smaller the energy consumption factor of a single building is, the smaller the energy consumption factor of the single building is, the smaller the energy consumption factor of a building group is, and the smaller the energy consumption of the building group is.
In the preferred embodiment, the building group energy consumption factors are established to analyze the building energy consumption condition, and the analysis result is more visual and accurate, wherein the first energy consumption factor considers the average energy consumption condition of the building, the second energy consumption factor considers the building area weight condition of the building, and the stability and reliability of the building group energy consumption factors are improved by introducing the area factors; the fourth building energy consumption analysis module analyzes the building energy consumption condition according to the single building energy consumption factor and the building group energy consumption factor, realizes the high-efficiency analysis of the building energy consumption, and provides powerful support for building energy consumption classification management and building energy conservation.
Preferably, the area factor of the building group is obtained by the following steps: step 1, calculating the total energy consumption of each building in unit area according to the heating energy consumption and the non-heating energy consumption of each building in unit area; step 2, removing the maximum value and the minimum value in the total energy consumption data of the unit area of the building, and obtaining the total energy consumption w of the unit area(1),w(2),…,w(N-2)Arranged according to increasing order; step 3, setting an initial value of the area factor: w ═ med { w ═(i)1,2, …, N-2, where med { w }(i)1,2, …, N-2 represents taking w(i)W' represents the initial value of the area factor; and 4, updating w' to obtain an updated area factor:
wherein m represents an updated value of area factor, w'(i)According to w(i)And (3) calculating: if w(i)＜w′-1.1σ′，w′(i)W '-1.1 σ'; if w(i)＞w′+1.1σ′，w′(i)W '+ 1.1 σ'; all the other conditions are w'(i)＝x(i)(ii) a Wherein σ '{ | w { [ med { [ m ] { [ m' ] { [ m ] ](i)-w′||i＝1,2,…,N-2},med{|w(i)-w' | | i ═ 1,2, …, N-2} denotes the value | w(i)-median value of w' |.
The optimal embodiment eliminates the influence of the extreme data on the calculation of the area factor, updates the area factor, reduces the influence of outliers on the result, and reflects the actual condition of the building energy consumption more truly.
The intelligent city management system is adopted to manage 5 cities which are respectively marked as city 1, city 2, city 3, city 4 and city 5, the city management efficiency and the management cost are analyzed, and compared with the existing city management system, the intelligent city management system has the following beneficial effects:
| management efficiency enhancement | Management cost reduction | |
| City 1 | 29％ | 21％ |
| City 2 | 27％ | 23％ |
| City 3 | 26％ | 25％ |
| City 4 | 25％ | 27％ |
| City 5 | 24％ | 29％ |
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (3)
1. A smart city management system is characterized by comprising an access layer positioned at the top layer, a scheduling service layer positioned at the lower layer of the access layer and a data interface layer positioned at the bottom layer, wherein each layer provides interface packaging service upwards and calls an interface of the next layer; the access layer is used for realizing access of various intelligent terminal devices to the smart city management system, the service scheduling layer is used for providing different services to meet access requests of the access layer, and the data interface layer is a bottom service interface of the smart city management system and is used for acquiring smart city information;
the smart city information comprises city building information, the city building information is acquired through a building management subsystem, the building management subsystem comprises a first building energy consumption classification module, a second building energy consumption data acquisition module, a third building energy consumption data processing module, a fourth building energy consumption analysis module and a fifth building classification management module, the first building energy consumption classification module is used for classifying the building energy consumption into heating energy consumption and non-heating energy consumption, the heating energy consumption is energy consumption generated by heating buildings, the non-heating energy consumption is all energy consumption of the buildings except heating, the second building energy consumption data acquisition module is used for acquiring the energy consumption data of the buildings, the third building energy consumption data processing module is used for processing the acquired building energy consumption data, the fourth building energy consumption analysis module is used for analyzing the building energy consumption condition according to the processing result, the fifth building classification management module is used for performing classification management on the buildings according to the size of the building energy consumption;
the second building energy consumption data acquisition module comprises a first basic information acquisition submodule, a second heating energy consumption statistics submodule and a third building monitoring submodule, the first basic information acquisition submodule is used for acquiring basic information of a building, the basic information comprises a building area and a building floor, the second heating energy consumption statistics submodule is used for acquiring heating energy consumption of the building, and the third building monitoring submodule is used for acquiring non-heating energy consumption of the building; the third building energy consumption data processing module comprises a primary building energy consumption processing submodule and a secondary building energy consumption processing submodule, the primary building energy consumption processing submodule performs primary processing on the building energy consumption data, and the secondary building energy consumption processing submodule is used for performing secondary processing on the building energy consumption data according to a primary processing result;
the preliminary treatment is carried out to the energy consumption data of building, specifically: calculating single-layer heating energy consumption and single-layer non-heating energy consumption of the building according to the building floor, the heating energy consumption and the non-heating energy consumption of the building, and calculating unit area heating energy consumption and unit area non-heating energy consumption of the building according to the building area, the heating energy consumption and the non-heating energy consumption of the building; performing secondary processing on the energy consumption data of the buildings, wherein the secondary processing includes performing secondary processing on the energy consumption data of a single building and performing secondary processing on the energy consumption data of a building group; the energy consumption data of the single building is secondarily processed by adopting the following mode: establishing an energy consumption factor of a single building:
in the formula, z1Representing the energy consumption of the individual heating of the building, z2The energy consumption of single-layer non-heating of the building is represented, M represents the number of floors of the building, and EH represents the energy consumption factor of the single-building;
the energy consumption data of the building group is secondarily processed by adopting the following steps: step 1, establishing a first energy consumption factor:
in the formula, xiRepresents the heating energy consumption per unit area of the ith building, yiThe unit area heating energy consumption of the ith building is represented, N represents the number of buildings of the building group, and EM represents a first energy consumption factor of the building group;
step 2, establishing a second energy consumption factor:
in the formula, SiRepresenting the building area of the ith building, and YW representing a second energy consumption factor of the building group; step 3, calculating the energy consumption factor of the building group:
wherein m represents an area factor of a building group, L G represents an energy consumption factor of the building group, and the analysis of the energy consumption condition of the building is carried out in a way that the smaller the energy consumption factor of a single building is, the smaller the energy consumption of the single building is, the smaller the energy consumption factor of the building group is, the smaller the energy consumption of the building group is;
the area factor of the building group is obtained by the following steps: step 1, calculating the total energy consumption of each building in unit area according to the heating energy consumption and the non-heating energy consumption of each building in unit area; step 2, removing the maximum value and the minimum value in the total energy consumption data of the unit area of the building, and obtaining the total energy consumption w of the unit area(1),w(2),…,w(N-2)Arranged according to increasing order; step 3, setting an initial value of the area factor: w ═ med { w ═(i)1,2, …, N-2, where med { w }(i)1,2, …, N-2 represents taking w(i)W' represents the initial value of the area factor; and 4, updating w' to obtain an updated area factor:
wherein m represents an updated value of area factor, w'(i)According to w(i)And (3) calculating: if w(i)＜w′-1.1σ′，w′(i)W '-1.1 σ'; if w(i)＞w′+1.1σ′，w′(i)W '+ 1.1 σ'; all the other conditions are w'(i)＝x(i)(ii) a Wherein σ '{ | w { [ med { [ m ] { [ m' ] { [ m ] ](i)-w′||i＝1,2,…,N-2},med{|w(i)-w' | | i ═ 1,2, …, N-2} denotes the value | w(i)-median value of w' |.
2. The smart city management system according to claim 1, wherein the smart terminal device includes a mobile terminal device and a computer.
3. The smart city management system according to claim 2, wherein the mobile terminal device includes a mobile phone and a tablet computer.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201266319Y (en) * | 2008-09-27 | 2009-07-01 | 山东光辉电子工程有限公司 | System for managing, scheduling and controlling building energy based on network |
| CN104534556A (en) * | 2014-12-08 | 2015-04-22 | 北京华电方胜技术发展有限公司 | Heat supply control method based on energy consumption monitoring |
| CN104657539A (en) * | 2015-01-13 | 2015-05-27 | 同济大学 | Village and town building reference room heat model-based building energy consumption acquisition method |
| CN104680004A (en) * | 2015-02-11 | 2015-06-03 | 西安建筑科技大学 | Building energy-saving rate calculation method |
| CN104851057A (en) * | 2015-06-04 | 2015-08-19 | 上海斐讯数据通信技术有限公司 | Smart city management system |
| CN105654393A (en) * | 2015-12-31 | 2016-06-08 | 国网电力科学研究院武汉南瑞有限责任公司 | Energy efficiency management service system of power distribution network area |
| CN106910144A (en) * | 2017-01-11 | 2017-06-30 | 华南理工大学 | Based on timesharing carve it is actual with can coefficient heavy construction by when energy consumption on-line prediction method |
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- 2017-08-18 CN CN201710714516.6A patent/CN107479959B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201266319Y (en) * | 2008-09-27 | 2009-07-01 | 山东光辉电子工程有限公司 | System for managing, scheduling and controlling building energy based on network |
| CN104534556A (en) * | 2014-12-08 | 2015-04-22 | 北京华电方胜技术发展有限公司 | Heat supply control method based on energy consumption monitoring |
| CN104657539A (en) * | 2015-01-13 | 2015-05-27 | 同济大学 | Village and town building reference room heat model-based building energy consumption acquisition method |
| CN104680004A (en) * | 2015-02-11 | 2015-06-03 | 西安建筑科技大学 | Building energy-saving rate calculation method |
| CN104851057A (en) * | 2015-06-04 | 2015-08-19 | 上海斐讯数据通信技术有限公司 | Smart city management system |
| CN105654393A (en) * | 2015-12-31 | 2016-06-08 | 国网电力科学研究院武汉南瑞有限责任公司 | Energy efficiency management service system of power distribution network area |
| CN106910144A (en) * | 2017-01-11 | 2017-06-30 | 华南理工大学 | Based on timesharing carve it is actual with can coefficient heavy construction by when energy consumption on-line prediction method |
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