CN116797104A - Smart city distributed data acquisition processing method and system based on AIOT - Google Patents
Smart city distributed data acquisition processing method and system based on AIOT Download PDFInfo
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Abstract
The application discloses a smart city distributed data acquisition and processing method and system based on AIOT, which relate to the technical field of data processing, wherein a monitoring module comprehensively analyzes data and establishes a monitoring coefficient for each garbage classification station after acquiring the data from a cloud, the operation condition of the garbage classification station is judged according to the comparison result of the monitoring coefficient and a monitoring threshold value, a management module selects whether to generate a management strategy according to the judgment result of the monitoring module on the operation condition of the garbage classification station, and a region evaluation module periodically collects the monitoring coefficients of the garbage classification stations in all urban regions and comprehensively evaluates the social benefit of the garbage classification station in each urban region. The application carries out comprehensive social benefit evaluation treatment on the garbage classification stations, and is convenient for comprehensively knowing the influence of each garbage classification station on cities and society, so that an administrator can know the contribution and improvement space of the garbage classification stations, and is convenient for optimizing and improving the garbage classification stations.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an AIOT-based intelligent city distributed data acquisition and processing method and system.
Background
With the increase of urban population and the development of economy, the quantity of urban garbage is continuously increased, garbage disposal becomes an important environmental problem facing cities, and the traditional garbage landfill and incineration disposal mode has negative influence on the environment, so that the establishment of a garbage classification station aims to promote garbage classification, and the garbage classification is an important means for reducing the garbage quantity and improving the resource recycling rate;
a plurality of garbage classification sites are arranged in the city, the sites need to monitor garbage throwing conditions in real time, reference and decision basis are provided for urban garbage management departments, and the distributed data acquisition and processing system can realize centralized management and real-time monitoring of data of the sites.
The prior art has the following defects:
the existing processing system only stores data after acquiring the data of the garbage classification stations, so that references are provided for urban garbage management departments, however, the processing system does not have comprehensive social benefit evaluation processing on the garbage classification stations, and the lack of social benefit evaluation means that the influence of each garbage classification station on cities and society cannot be comprehensively known, so that an administrator cannot know the contribution and improvement space of the garbage classification stations, and the optimization and improvement of the garbage classification stations are influenced.
Disclosure of Invention
The application aims to provide an AIOT-based intelligent city distributed data acquisition processing method and system, which are used for solving the defects in the background technology.
In order to achieve the above object, the present application provides the following technical solutions: the AIOT-based intelligent city distributed data acquisition processing system comprises an area acquisition module, an information acquisition module, a monitoring module, a management module, an area evaluation module and a visualization module;
region acquisition module: for obtaining the partition status of cities, each region of cities is initialized and ordered and marked as { q } 1 、q 2 、...、q n N is a positive integer, each region of the city is initially treatedInitializing and sequencing;
and the information acquisition module is used for: after data of garbage classification stations in a city area are obtained and preprocessed, the preprocessed data are sent to a cloud for storage based on the Internet of things technology;
and a monitoring module: the system is used for comprehensively analyzing the data and establishing a monitoring coefficient for each garbage classification station after the data is acquired from the cloud, and judging the running condition of the garbage classification station according to the comparison result of the monitoring coefficient and the monitoring threshold;
and a management module: selecting whether to generate a management strategy according to the judging result of the monitoring module on the running condition of the garbage classification station;
region assessment module: periodically collecting monitoring coefficients of garbage classification stations in all urban areas, comprehensively evaluating social benefits of the garbage classification stations in each urban area, and combining the urban area initialization ordering information to reorder all the subareas of the cities to generate an area ordering table;
and a visualization module: the method is used for carrying out visual processing on the management strategy, the social benefit evaluation result of the garbage classification station and the regional ranking table, and displaying the visualized data.
Preferably, the monitoring module acquires data from the cloud, wherein the data comprises a garbage storage amount floating index, a garbage classification comprehensive index and an air quality influence index;
the floating index, the garbage classification comprehensive index and the air quality influence index of the garbage storage amount are comprehensively calculated to obtain the operation coefficientThe computational expression is:
in (1) the->For garbage classification comprehensive index->Floating index for garbage storage amount->Is an air quality influence index>、/>、/>The ratio coefficients of the garbage classification comprehensive index, the garbage storage floating index and the air quality influence index are respectively, and->、/>、/>Are all greater than 0.
Preferably, the monitoring module obtains an operation coefficientAfter that, the running coefficient->The larger the garbage sorting station, the better the operation effect of the garbage sorting station, the operation coefficient is +.>When the operation coefficient is +.>And when the operation threshold value is less than the operation threshold value, indicating that the operation condition of the garbage sorting station is poor.
Preferably, the calculation expression of the garbage classification comprehensive index is:
in the method, in the process of the application,is the garbage category of the garbage sorting station, and n is a positive integer, < >>Indicating the classification accuracy of class i garbage, < >>Indicating the proportion of the class i garbage.
Preferably, the calculation expression of the floating index of the garbage storage amount is:in (1) the->For real-time garbage storage of garbage sorting stations,for the time period of the frequency early warning of garbage throwing, +.>And (5) a time period for early warning of garbage clearance frequency.
Preferably, the air quality impact index is calculated by the following expression:in (1) the->For PM2.5 real-time concentration near the garbage station,/->For the real-time concentration of nitrogen dioxide in the vicinity of the waste station, < + >>For the real-time concentration of ozone in the vicinity of the waste station, +.>For PM2.5 standard concentration, +.>Is the standard concentration of nitrogen dioxide->Is the standard concentration of ozone.
Preferably, the management module selects whether to generate the management policy according to the judging result of the monitoring module on the operation condition of the garbage classification station, and the method comprises the following steps:
when the operation coefficient isWhen the operation threshold value is not less than or equal to, the operation condition of the garbage sorting station is indicated to be good, and management is not needed;
when the operation coefficient isAnd when the operation threshold value is less than the operation threshold value, the operation condition of the garbage sorting station is poor, and management is needed.
Preferably, the region evaluation module acquires the operation coefficients of all garbage classification stations in the urban region, and establishes an operation coefficient set;
calculating running coefficient average value in running coefficient setAnd the discrete coefficient YQ, mean->The number of the operation coefficients is equal to the sum of all the operation coefficients and then is removed; />In the middle ofM represents the number of operation coefficients in the operation coefficient set, m is a positive integer, +.>Representing different operation coefficients within the set of operation coefficients, respectively>Representing the average of all the operating coefficients in the set of operating coefficients.
Preferably, if the average value isNot less than the operation threshold value and discrete coefficient +.>Discrete coefficient +.>The threshold value, the regional assessment module assesses that the social benefit of the urban regional garbage classification station is excellent;
if the average value isThe running threshold value is not less than, and the discrete coefficient Q is more than the discrete coefficient Q threshold value, which indicates that the overall running condition of the garbage classification station in the urban area is good, but the garbage classification station in the urban area is unstable, and the social benefit of the garbage classification station in the urban area is estimated to be good;
if the average value is< run threshold, and discrete coefficient->> discrete coefficients->A threshold value, wherein the regional assessment module assesses the social benefit of the urban regional garbage classification station;
if the average value isAn operation threshold value is less than or equal to the operation threshold value, and the discrete coefficient Q is less than or equal to the discrete coefficient Q threshold value, and the regional evaluation module evaluates the poor social benefit of the urban regional garbage classification station;
the region evaluation module obtains running coefficient average value of the urban regionAfterwards, all areas in the city are averaged according to the running coefficient +.>And sorting from big to small to generate a region sorting table.
The application also provides an AIOT-based smart city distributed data acquisition and processing method, which comprises the following steps:
s1: obtaining the partition status of the cities, and initializing and sequencing each area of the cities, which is marked as { q } 1 、q 2 、...、q n Initializing and sequencing each region of the city;
s2: after data of garbage classification stations in a city area are obtained and preprocessed, the preprocessed data are sent to a cloud for storage based on the Internet of things technology;
s3: after the processing system acquires data from the cloud, comprehensively analyzing the data and establishing a monitoring coefficient for each garbage classification station;
s4: judging the operation condition of the garbage classification station according to the comparison result of the monitoring coefficient and the monitoring threshold value, and selecting whether to generate a management strategy according to the judgment result of the operation condition of the garbage classification station;
s5: periodically collecting monitoring coefficients of garbage classification stations in all urban areas, comprehensively evaluating social benefits of the garbage classification stations in each urban area, and combining the urban area initialization ordering information to reorder all the subareas of the cities to generate an area ordering table;
s6: and carrying out visual processing on the management strategy, the social benefit evaluation result of the garbage classification station and the regional ranking table, and displaying the visualized data to an administrator.
In the technical scheme, the application has the technical effects and advantages that:
1. according to the application, after the information acquisition module acquires data of the garbage classification stations in the urban area and performs preprocessing, the monitoring module comprehensively analyzes the data and establishes a monitoring coefficient for each garbage classification station, the operation condition of the garbage classification station is judged according to the comparison result of the monitoring coefficient and the monitoring threshold, the management module selects whether to generate a management strategy according to the judgment result of the monitoring module on the operation condition of the garbage classification station, the regional evaluation module periodically collects the monitoring coefficient of the garbage classification stations in all the urban area to comprehensively evaluate the social benefits of the garbage classification stations in each urban area, and the urban area is combined with the urban area initialization ranking information to rank all the areas again, so that a regional ranking table is generated.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a block diagram of a system according to the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1: referring to fig. 1, the AIOT-based smart city distributed data acquisition processing system of the present embodiment includes a region acquisition module, an information acquisition module, a monitoring module, a management module, a region evaluation module, and a visualization module;
region acquisition module: for obtaining the regional status of cities, each region of cities is divided into two regionsThe initialization ordering is performed, and is marked as { q } 1 、q 2 、...、q n And n is a positive integer, each region of the city is subjected to initialization sequencing, the initialization sequencing can be performed according to the economic benefit of each region or the occupied area of the region, and initialization sequencing information is sent to the region evaluation module.
And the information acquisition module is used for: after data of garbage classification stations in a city area are obtained and preprocessed, the preprocessed data are sent to a cloud for storage based on the Internet of things technology;
and (3) data acquisition: the technology of the Internet of things, such as a sensor, intelligent equipment and the like, is used for collecting data of the garbage classification station; the collected data can comprise the information of the position of the garbage classification station, the capacity of the garbage can, the type and the number of garbage classifications and the like;
data cleaning: cleaning and screening the collected original data to remove repeated, invalid or erroneous data; this step may be performed using a data cleansing algorithm or rule;
data conversion: converting and standardizing the cleaned data as required; for example, converting the data into a unified data format, ensuring consistency and comparability of the data;
data aggregation: aggregating data from a plurality of garbage sorting stations for better analysis and management; the data may be aggregated by geographic location, time period, or other indicators;
and (3) data transmission: the method comprises the steps of using an Internet of things technology to transmit preprocessed data to a cloud for storage through a network; data may be transmitted to the cloud using wireless communication technologies, such as Wi-Fi, bluetooth, 4G/5G, etc.;
cloud storage: a storage database or a data warehouse is established in the cloud, and the received data are stored and managed; cloud computing platforms, such as Amazon Web Services (AWS), microsoft Azure, etc., may be used to build cloud storage environments;
data security and privacy protection: in the data transmission and storage process, the safety and privacy protection of the data are ensured; encryption techniques, access control, authentication, etc. may be used to protect the confidentiality and integrity of the data.
And a monitoring module: and after the data are acquired from the cloud, comprehensively analyzing the data, establishing a monitoring coefficient for each garbage classification station, judging the running condition of the garbage classification station according to the comparison result of the monitoring coefficient and the monitoring threshold value, and transmitting the judgment result to the management module.
And a management module: and selecting whether to generate a management strategy according to the judging result of the monitoring module on the running condition of the garbage classification station, and sending the management strategy to the visualization module.
Region assessment module: and periodically collecting monitoring coefficients of the garbage classification stations in all the urban areas, comprehensively evaluating social benefits of the garbage classification stations in each urban area, combining the urban area initialization ordering information, ordering all the subareas of the cities again, generating an area ordering table, and transmitting an evaluation result and the area ordering table to a visualization module.
And a visualization module: the method comprises the steps of performing visual processing on a management strategy, a social benefit evaluation result of a garbage classification station and a regional ranking table, and displaying visualized data to an administrator;
data preparation: sorting and preparing management strategies, social benefit evaluation results of the garbage sorting stations and data of the regional ranking table; ensuring that the format and structure of the data meet the requirements of visual processing;
selecting a visualization tool: selecting proper visualization tools according to the characteristics and the display requirements of the data; common visualization tools include Tableau, power BI, matplotlib of Python, and Seabarn libraries, among others;
and (3) data visualization design: designing a proper visual chart and interface according to the display requirements and targets; different chart types such as bar charts, line charts, pie charts, maps and the like can be selected, and patterns such as colors, fonts, labels and the like can be set;
data importing and processing: importing the prepared data into a selected visualization tool, and performing necessary data processing and conversion; for example, screening, aggregation, sorting, etc. of the data for better presentation and analysis;
chart drawing and layout: drawing a chart by using the selected visualization tool according to the visualization design, and carrying out layout and typesetting; titles, legends, axis labels, data labels, etc. may be added as needed to increase the readability and understandability of the chart;
interaction and navigation settings: setting interaction and navigation functions of the chart according to the display requirements; for example, adding mouse-over cues, data filtering, zooming, navigation buttons, etc., so that the user can freely browse and explore the data;
data display and sharing: displaying the visualized data to an administrator; visual results can be displayed to an administrator by means of generating reports, sharing links, exporting pictures, or directly displaying in a visual tool;
feedback and optimization: optimizing and improving the visual result according to feedback and requirements of an administrator; the style, layout, interaction, etc. of the chart can be adjusted according to the feedback opinion to improve the visualization effect and user experience.
In the application, AIOT, which is totally called as 'AI+iot', is the fusion of Artificial Intelligence (AI) and the Internet of things (IoT), is the combination of two advanced technologies, and aims to realize intelligent interconnection and data exchange among devices, sensors and systems, and AIOT combines the data acquisition, transmission and processing capacity of the Internet of things device with the data analysis and intelligent decision making capacity of artificial intelligence, thereby realizing higher-level automation and intellectualization;
the internet of things technology is responsible for connection and communication, data in the real world is collected through various sensors and devices, and the data is transmitted to a cloud or a local server through a network, so that collection and storage of large-scale data are realized.
According to the application, after the information acquisition module acquires data of the garbage classification stations in the urban area and performs preprocessing, the monitoring module comprehensively analyzes the data and establishes a monitoring coefficient for each garbage classification station, the operation condition of the garbage classification station is judged according to the comparison result of the monitoring coefficient and the monitoring threshold, the management module selects whether to generate a management strategy according to the judgment result of the monitoring module on the operation condition of the garbage classification station, the regional evaluation module periodically collects the monitoring coefficient of the garbage classification stations in all the urban area to comprehensively evaluate the social benefits of the garbage classification stations in each urban area, and the urban area is combined with the urban area initialization ranking information to rank all the areas again, so that a regional ranking table is generated.
Example 2: after the monitoring module acquires data from the cloud, the data are comprehensively analyzed, monitoring coefficients are established for each garbage classification station, and the running condition of the garbage classification station is judged according to the comparison result of the monitoring coefficients and the monitoring threshold.
After the monitoring module acquires data from the cloud, comprehensively analyzing the data and establishing monitoring coefficients for each garbage classification station, wherein the monitoring coefficients specifically comprise:
the monitoring module acquires data from the cloud, wherein the data comprise garbage storage quantity floating indexes, garbage classification comprehensive indexes and air quality influence indexes;
the floating index, the garbage classification comprehensive index and the air quality influence index of the garbage storage amount are comprehensively calculated to obtain the operation coefficientThe computational expression is:
in (1) the->For garbage classification comprehensive index->Floating index for garbage storage amount->Is an air quality influence index>、/>、/>The ratio coefficients of the garbage classification comprehensive index, the garbage storage floating index and the air quality influence index are respectively, and->、/>、/>Are all greater than 0.
Obtaining operation coefficientsAfter that, the running coefficient->The larger the garbage sorting station, the better the operation effect of the garbage sorting station, the operation coefficient is +.>When the operation coefficient is +.>And when the operation threshold value is less than the operation threshold value, the operation condition of the garbage sorting station is poor, and management is needed.
According to the application, the monitoring module is used for acquiring data from the cloud, wherein the data comprise the garbage storage floating index, the garbage classification comprehensive index and the air quality influence index, and the garbage storage floating index, the garbage classification comprehensive index and the air quality influence index are comprehensively calculated to acquire the operation coefficient, so that the operation condition of the garbage classification station is comprehensively analyzed, and the analysis is more accurate.
The calculation expression of the garbage classification comprehensive index is as follows:in (1) the->Is the garbage category of the garbage sorting station, and n is a positive integer, < >>Indicating the classification accuracy of class i garbage, < >>The proportion of the i-th garbage is represented, the greater the comprehensive index of garbage classification is, the better the garbage classification effect of the garbage classification station is, and the garbage classification station is described:
1) The garbage is correctly classified: the garbage classification station can correctly guide residents to put garbage into corresponding classification containers, so that different types of garbage can be correctly classified, and the garbage classification station is beneficial to the efficiency and effect of subsequent garbage treatment and resource recovery;
2) The recovery rate of resources is improved: means that the recyclable garbage is effectively recycled and reused, which is helpful for reducing the waste of resources and the burden of the environment and promoting sustainable development;
3) Environmental pollution is reduced: the garbage sorting station can accurately treat special garbage such as harmful garbage, wet garbage and the like, so that pollution and harm to the environment are avoided, and the garbage sorting station is beneficial to protecting the environment and the health of residents;
4) Social awareness is improved: changes in cognition and behavior of residents on garbage classification are reflected; this helps to raise the environmental awareness of the residents and promote the propagation and implementation of sustainable concepts in society.
The calculation expression of the floating index of the garbage storage amount is as follows:in (1) the->For real-time garbage storage of garbage sorting station, < >>For the time period of the pre-warning of the garbage throwing frequency,for the time period of the early warning of the garbage clearing frequency, the time period of the early warning of the garbage throwing frequency is the time period that the garbage throwing frequency is larger than the garbage throwing frequency threshold, namely the throwing frequency of garbage in the monitoring time period is too high, and the time period of the early warning of the garbage clearing frequency is the time period that the garbage clearing frequency is smaller than the garbage clearing frequency, namely the clearing frequency of garbage in the monitoring time period is too low.
The greater the floating index of the garbage storage amount, the garbage clearing speed of the garbage sorting station is shown to be incapable of keeping up with the throwing speed of garbage, so that the following problems are caused:
1) And (3) garbage accumulation: the garbage sorting station cannot timely clear garbage, so that the garbage is accumulated around the station, and adverse effects are brought to the surrounding environment; the garbage accumulation can cause problems of peculiar smell, breeding of pests and germs and the like, and the life quality and health of surrounding residents are affected;
2) Environmental pollution: refuse accumulation can lead to refuse leakage and spillage, contaminating soil and water sources; particularly for harmful garbage and wet garbage, if the garbage cannot be timely cleared and treated, serious pollution and harm can be caused to the environment;
3) The garbage classification effect is reduced: the garbage classification station cannot timely clear garbage, so that the capacity of the station is insufficient, and new garbage classification and delivery cannot be timely received; this may make the user unwilling to go to the garbage sorting station to put garbage, resulting in that garbage cannot be correctly sorted, affecting the overall effect and success of garbage sorting.
The air quality impact index is calculated as:
in (1) the->For PM2.5 real-time concentration near the garbage station,/->For the real-time concentration of nitrogen dioxide in the vicinity of the waste station, < + >>For the real-time concentration of ozone in the vicinity of the waste station,for PM2.5 standard concentration, +.>Is the standard concentration of nitrogen dioxide->Is the standard concentration of ozone;
the greater the air quality impact index, the more indicative of:
the concentration of harmful gases or the concentration of peculiar smell generated by the garbage sorting station is high, and the harmful gases or the peculiar smell have a great influence on the surrounding environment and the health of residents, and in such a case, corresponding measures are required to reduce the negative influence of the garbage sorting station on the air quality.
The management module selects whether to generate a management strategy according to the judgment result of the monitoring module on the running condition of the garbage classification station, and the management strategy is specifically as follows:
when the operation coefficient isWhen the operation threshold value is not less than or equal to, the operation condition of the garbage sorting station is indicated to be good, and management is not needed;
when the operation coefficient isWhen the operation threshold value is less than the operation threshold value, the operation condition of the garbage sorting station is indicated to be bad, management is needed, and the generated management strategy comprises the following steps:
1) Enhanced administration and management: the supervision and management of the garbage classification station are enhanced, and the garbage classification station is ensured to operate according to the regulations, including the inspection and the examination of the garbage classification station are enhanced, and the problems are found and solved in time;
2) Providing training and education: training and education activities are carried out, the professional level and the management capacity of workers in the garbage classification station are improved, and training contents can comprise garbage classification knowledge, operation specifications, environmental protection consciousness and the like;
3) Perfecting equipment and technology: the equipment and the technology of the garbage sorting station are improved and upgraded, so that the normal operation and the high-efficiency garbage treatment of the garbage sorting station are ensured, including the performance improvement of the garbage treatment equipment, the effect improvement of the emission control technology and the like;
4) Reinforcing garbage classification propaganda and education: the garbage classification propaganda and education activities are developed, the garbage classification consciousness and behaviors of residents are improved, and the importance and the correct classification method of garbage classification can be popularized to the public in the modes of propaganda advertisements, community activities, school education and the like;
5) Establishing a complaint and supervision mechanism: the complaint and supervision mechanism of the garbage classification station is established, so that the public can timely reflect the problems and supervise the operation condition of the garbage classification station, timely process the complaint and the problems, and improve the service quality and the operation efficiency of the garbage classification station;
6) Enhancing collaboration with relevant departments: the cooperation with relevant departments such as environmental protection, urban management, sanitation and the like is enhanced, the management and the operation of the garbage sorting station are jointly propelled, and the management efficiency and the problem solving speed are improved through information sharing, combined law enforcement and the like.
The regional assessment module periodically collects monitoring coefficients of the garbage classification stations in all urban areas to comprehensively assess social benefits of the garbage classification stations in each urban area, and in combination with the urban area initialization ordering information, all the subareas of the cities are ordered again to generate a regional ordering table;
wherein:
the regional assessment module periodically collects monitoring coefficients of the garbage classification stations in all urban regions to comprehensively assess social benefits of the garbage classification stations in each urban region, and the method comprises the following steps of:
acquiring operation coefficients of all garbage classification stations in a city area, and establishing an operation coefficient set;
calculating running coefficient average value in running coefficient setAnd the discrete coefficient YQ, mean->The number of the operation coefficients is equal to the sum of all the operation coefficients and then is removed;
in->M represents the number of operation coefficients in the operation coefficient set, m is a positive integer, +.>Representing different operation coefficients within the set of operation coefficients, respectively>Representing the average value of all the running coefficients in the running coefficient set;
if the average value isNot less than the operation threshold value and discrete coefficient +.>Discrete coefficient +.>The threshold value indicates that the overall operation condition of the garbage classification station in the urban area is good and stable, and the social benefit of the garbage classification station in the urban area is evaluated to be excellent;
if the average value isThe running threshold value is not less than, and the discrete coefficient Q is more than the discrete coefficient Q threshold value, which indicates that the overall running condition of the garbage classification station in the urban area is good, but the garbage classification station in the urban area is unstable, and the social benefit of the garbage classification station in the urban area is estimated to be good;
if the average value is< run threshold, anddiscrete coefficient->> discrete coefficients->Threshold value, it shows that the overall operation condition of the garbage classification station in the urban area is bad, but unstable, evaluate the social benefit of the garbage classification station in the urban area;
if the average value isThe operation threshold value is less than or equal to the operation threshold value, and the discrete coefficient Q is less than or equal to the discrete coefficient Q threshold value, so that the integral operation condition of the garbage classification station in the urban area is poor and stable, and the social benefit of the garbage classification station in the urban area is estimated to be poor.
And, obtaining running coefficient average value of urban areaAfterwards, all areas in the city are averaged according to the running coefficient +.>Sorting from big to small to generate a region sorting table, wherein the average value of running coefficients of urban regions is +.>The larger the garbage classification station is, the better the social benefit of the garbage classification station in the urban area is.
When the social benefit of the urban area garbage classification station is estimated to be good, and the management of the social benefit of the urban area garbage classification station or the social benefit of the urban area garbage classification station is estimated to be poor is respectively:
1) The social benefit is good: if the evaluation result shows that the social benefit of the urban area garbage classification station is excellent, the construction and operation of the urban area garbage classification station can be further enhanced and expanded; the management measures can comprise increasing the number and coverage of the garbage sorting stations, improving the service quality, strengthening propaganda and education, and cooperating with related departments to further improve the social benefit of the garbage sorting stations;
2) The social benefit is good: if the evaluation result shows that the social benefit of the urban area garbage classification station is good, the existing management measures of the urban area can be continuously maintained and improved; the management measures can comprise strengthening supervision and management of the garbage classification station, improving equipment and technical level, strengthening training and education, and establishing complaints and supervision mechanisms to ensure good operation and continuous social benefits of the garbage classification station;
3) The social benefit is as follows: if the evaluation result shows that the social benefit of the urban area garbage classification station is general, urban area management measures need to be further improved to improve the social benefit; the management measures can include strengthening propaganda and education, improving the service quality of the garbage sorting station, improving equipment and technology, strengthening collaboration with related departments and the like so as to improve the social benefit of the garbage sorting station;
4) The social benefit is poor: if the evaluation result shows that the social benefit of the urban area garbage classification station is poor, emergency measures are needed to be taken to improve the situation of the urban area; the management measures may include enhancing supervision and management, improving equipment and skill levels of the garbage sorting station, enhancing training and education, enhancing collaboration with related departments, establishing complaints and supervision mechanisms, etc., to improve social benefits of the garbage sorting station.
Example 3: the method for acquiring and processing the distributed data of the smart city based on the AIOT comprises the following steps:
obtaining the partition status of the cities, and initializing and sequencing each area of the cities, which is marked as { q } 1 、q 2 、...、q n N is a positive integer, each region of the city is subjected to initialization sequencing, the initialization sequencing can be performed according to the economic benefit of each region or the occupied area of the region, the data of the garbage classification stations in the city region are obtained and preprocessed, the preprocessed data are sent to the cloud for storage based on the Internet of things technology, and the processing system comprehensively analyzes the data and establishes monitoring coefficients for each garbage classification station after obtaining the data from the cloud, and the monitoring coefficients and the monitoring threshold are used for determining the monitoring coefficientsJudging the running condition of the garbage classification station according to the comparison result, selecting whether to generate a management strategy according to the judging result of the running condition of the garbage classification station, periodically collecting the monitoring coefficients of the garbage classification station in all urban areas to comprehensively evaluate the social benefits of the garbage classification station in each urban area, combining the urban area initialization ordering information, ordering all the areas of the city again to generate an area ordering table, carrying out visual processing on the management strategy, the social benefit evaluation result of the garbage classification station and the area ordering table, and displaying the visualized data to an administrator.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The utility model provides a wisdom city distributed data acquisition processing system based on AIOT which characterized in that: the system comprises an area acquisition module, an information acquisition module, a monitoring module, a management module, an area evaluation module and a visualization module;
region acquisition module: for obtaining the partition status of cities, each region of cities is initialized and ordered and marked as { q } 1 、q 2 、...、q n N is a positive integer, and each region of the city is subjected to initialization sequencing;
and the information acquisition module is used for: after data of garbage classification stations in a city area are obtained and preprocessed, the preprocessed data are sent to a cloud for storage based on the Internet of things technology;
and a monitoring module: the system is used for comprehensively analyzing the data and establishing a monitoring coefficient for each garbage classification station after the data is acquired from the cloud, and judging the running condition of the garbage classification station according to the comparison result of the monitoring coefficient and the monitoring threshold;
and a management module: selecting whether to generate a management strategy according to the judging result of the monitoring module on the running condition of the garbage classification station;
region assessment module: periodically collecting monitoring coefficients of garbage classification stations in all urban areas, comprehensively evaluating social benefits of the garbage classification stations in each urban area, and combining the urban area initialization ordering information to reorder all the subareas of the cities to generate an area ordering table;
and a visualization module: the method is used for carrying out visual processing on the management strategy, the social benefit evaluation result of the garbage classification station and the regional ranking table, and displaying the visualized data.
2. The AIOT-based smart city distributed data collection processing system of claim 1 wherein: the monitoring module acquires data from the cloud, wherein the data comprises a garbage storage quantity floating index, a garbage classification comprehensive index and an air quality influence index;
the floating index, the garbage classification comprehensive index and the air quality influence index of the garbage storage amount are comprehensively calculated to obtain the operation coefficientThe computational expression is:
in (1) the->For garbage classification comprehensive index->Floating index for garbage storage amount->Is an air quality influence index>、/>、/>The ratio coefficients of the garbage classification comprehensive index, the garbage storage floating index and the air quality influence index are respectively, and->、/>、/>Are all greater than 0.
3. The AIOT-based smart city distributed data collection processing system of claim 2 wherein: the monitoring module obtains an operation coefficientAfter that, the running coefficient->The larger the garbage sorting station, the better the operation effect of the garbage sorting station, the operation coefficient is +.>When the operation coefficient is +.>And when the operation threshold value is less than the operation threshold value, indicating that the operation condition of the garbage sorting station is poor.
4. The AIOT-based smart city distributed data collection processing system of claim 3 wherein: the calculation expression of the garbage classification comprehensive index is as follows:
in (1) the->Is the garbage category of the garbage sorting station, and n is a positive integer, < >>Indicating the classification accuracy of class i garbage, < >>Indicating the proportion of the class i garbage.
5. The AIOT-based smart city distributed data collection processing system of claim 4 wherein: the calculation expression of the floating index of the garbage storage amount is as follows:
in (1) the->For real-time garbage storage of garbage sorting stations,for the time period of the frequency early warning of garbage throwing, +.>And (5) a time period for early warning of garbage clearance frequency.
6. The AIOT-based smart city distributed data collection processing system of claim 5 wherein: the calculation expression of the air quality influence index is as follows:
in (1) the->For real-time concentration of PM2.5 near the waste station,for the real-time concentration of nitrogen dioxide in the vicinity of the waste station, < + >>For the real-time concentration of ozone in the vicinity of the waste station, +.>For PM2.5 standard concentration, +.>Is the standard concentration of nitrogen dioxide->Is the standard concentration of ozone.
7. The AIOT-based smart city distributed data collection processing system of claim 6 wherein: the management module selects whether to generate a management strategy according to the judgment result of the monitoring module on the running condition of the garbage classification station, and the method comprises the following steps:
when the operation coefficient isWhen the operation threshold value is not less than or equal to, the operation condition of the garbage sorting station is indicated to be good, and management is not needed;
when the operation coefficient isAnd when the operation threshold value is less than the operation threshold value, the operation condition of the garbage sorting station is poor, and management is needed.
8. The AIOT-based smart city distributed data collection processing system of claim 7 wherein: the regional assessment module acquires the operation coefficients of all garbage classification stations in the urban region and establishes an operation coefficient set;
calculating running coefficient average value in running coefficient setAnd the discrete coefficient YQ, mean->The number of the operation coefficients is equal to the sum of all the operation coefficients and then is removed;
in->M represents the number of operation coefficients in the operation coefficient set, m is a positive integer, +.>Representing different operations within a set of operating coefficientsLine coefficient,/->Representing the average of all the operating coefficients in the set of operating coefficients.
9. The AIOT-based smart city distributed data collection processing system of claim 8 wherein: if the average value isNot less than the operation threshold value and discrete coefficient +.>Discrete coefficient +.>The threshold value, the regional assessment module assesses that the social benefit of the urban regional garbage classification station is excellent;
if the average value isThe running threshold value is not less than, and the discrete coefficient Q is more than the discrete coefficient Q threshold value, which indicates that the overall running condition of the garbage classification station in the urban area is good, but the garbage classification station in the urban area is unstable, and the social benefit of the garbage classification station in the urban area is estimated to be good;
if the average value is< run threshold, and discrete coefficient->> discrete coefficients->A threshold value, wherein the regional assessment module assesses the social benefit of the urban regional garbage classification station;
if the average value isAn operation threshold value is less than or equal to the operation threshold value, and the discrete coefficient Q is less than or equal to the discrete coefficient Q threshold value, and the regional evaluation module evaluates the poor social benefit of the urban regional garbage classification station;
the region evaluation module obtains running coefficient average value of the urban regionAfterwards, all areas in the city are averaged according to the running coefficient +.>And sorting from big to small to generate a region sorting table.
10. The AIOT-based intelligent city distributed data acquisition and processing method is characterized by comprising the following steps of: the processing method comprises the following steps:
s1: obtaining the partition status of the cities, and initializing and sequencing each area of the cities, which is marked as { q } 1 、q 2 、...、q n Initializing and sequencing each region of the city;
s2: after data of garbage classification stations in a city area are obtained and preprocessed, the preprocessed data are sent to a cloud for storage based on the Internet of things technology;
s3: after the processing system acquires data from the cloud, comprehensively analyzing the data and establishing a monitoring coefficient for each garbage classification station;
s4: judging the operation condition of the garbage classification station according to the comparison result of the monitoring coefficient and the monitoring threshold value, and selecting whether to generate a management strategy according to the judgment result of the operation condition of the garbage classification station;
s5: periodically collecting monitoring coefficients of garbage classification stations in all urban areas, comprehensively evaluating social benefits of the garbage classification stations in each urban area, and combining the urban area initialization ordering information to reorder all the subareas of the cities to generate an area ordering table;
s6: and carrying out visual processing on the management strategy, the social benefit evaluation result of the garbage classification station and the regional ranking table, and displaying the visualized data to an administrator.
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