CN115099609A - Intelligent information analysis processing system and method based on big data - Google Patents

Intelligent information analysis processing system and method based on big data Download PDF

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CN115099609A
CN115099609A CN202210708401.7A CN202210708401A CN115099609A CN 115099609 A CN115099609 A CN 115099609A CN 202210708401 A CN202210708401 A CN 202210708401A CN 115099609 A CN115099609 A CN 115099609A
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徐勇
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Abstract

The invention discloses an intelligent information analysis processing system and method based on big data, wherein the intelligent information analysis processing system comprises a garbage collection point position storage module, a merchant position acquisition module, a merchant operation time acquisition module, a merchant classification module, a merchant distribution density analysis module, a people flow density analysis module, a clearing area selection module, a garbage clearing route generation module and a garbage clearing route selection module, and the intelligent information analysis processing system has the beneficial effects that: the method comprises the steps of further establishing a circular garbage clearing area according to position information of garbage collection points by obtaining the position information of the garbage collection points, generating garbage clearing routes in the area, and analyzing according to distribution density of merchants on the routes, merchant operation time intervals, lengths of the clearing routes and pedestrian flow density in each merchant operation time interval, so that the best garbage clearing route is selected to be cleared preferentially, and the purposes of saving time and improving garbage clearing and recycling efficiency are achieved.

Description

Intelligent information analysis processing system and method based on big data
Technical Field
The invention relates to the technical field of information analysis and processing, in particular to an intelligent information analysis and processing system and method based on big data.
Background
The intelligent system refers to an application and an intelligent set aiming at a certain aspect and formed by integrating a modern communication technology, an intelligent control technology, a computer network technology, an industry technology and the like, along with the continuous development of modern scientific technology, the technical content and the complexity of intelligent informatization are higher and higher, the intelligent concept gradually permeates the aspects of our lives, all industries are involved, the development of the urbanization is faster and faster at present, the society continuously advocates the construction of a smart city, and the smart city naturally cannot break away from the intelligent information analysis processing technology.
With the continuous development of urbanization, more and more urban garbage are produced, and collection and transportation of urban garbage are important steps in urban garbage collection and transportation management, which is the most complicated operation and the most demanding stage of manpower and material resources in the whole urban garbage treatment, so that how to select a proper garbage collection and transportation route is very important, however, in the prior art, a material level sensor is installed in a garbage can, or pressure sensors are installed at different heights in the vertical direction of the inner wall of the garbage can, so as to predict the garbage height of the garbage can, but the garbage can is generally located in an open-air environment, sun exposure and rain and snow weather can cause damage of the sensors, and even human damage behaviors exist, in the prior art, a camera is installed above the garbage can, and the garbage height in the garbage can is obtained through picture information collected by the camera, however, due to the function of storing garbage, the garbage can has a certain defect that the garbage can cover is covered in many times and the quantity of the garbage is acquired by the camera, so that the load state of the garbage can is judged according to the acquired data, and the recommended route generated according to the position information of the garbage can is not the optimal scheme.
Based on the above problems, it is urgently needed to provide an intelligent information analysis processing system and method based on big data, further establish a circular garbage clearing area by obtaining position information of garbage collection points, generate garbage clearing routes in the area, and select an optimal garbage clearing route for clearing according to the distribution density of merchants on the route, the operation time of the merchants, the length of the clearing route and the people flow density analysis in the operation time of each merchant, so as to achieve the purposes of saving time and improving the garbage clearing and recycling efficiency.
Disclosure of Invention
The present invention is directed to a system and a method for analyzing and processing intelligent information based on big data, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme:
an intelligent information analysis processing system based on big data comprises a garbage collection point position storage module, a merchant position acquisition module, a merchant operation time acquisition module, a merchant classification module, a merchant distribution density analysis module, a people flow density analysis module, a clearing area selection module, a garbage clearing route generation module and a garbage clearing route selection module,
the garbage collection point position storage module is used for storing position information of garbage collection points, the merchant position acquisition module is used for acquiring position information of merchants, the merchant operation time acquisition module is used for analyzing business time periods of the merchants, the merchant classification module is used for uniformly classifying types of the merchants according to business time and business items of the merchants, the merchant distribution density analysis module is used for analyzing distribution density of the merchants on garbage truck cleaning and transporting travel routes, the people flow density analysis module is used for acquiring people flow density in a certain area according to the time periods, the cleaning and transporting area selection module is used for dividing and selecting garbage cleaning and transporting areas at any time according to the position information of the garbage collection points stored in the garbage collection point position storage module, and the garbage cleaning and transporting route generation module is used for generating the cleaning and transporting travel routes of the garbage trucks according to the garbage cleaning and the positions of the garbage collection points, the garbage cleaning route selecting module is used for selecting a cleaning running route of the garbage truck according to the time period and the change condition of the people flow density.
Further, the cleaning area selecting module is connected with the garbage collection point position storage module, the cleaning area selecting module acquires the position information of the garbage collection points in a certain area through the garbage collection point position storage module, the cleaning area selecting module determines the position of the garbage collection point closest to the edge of the area in the certain area, the garbage collection point is a first position, the first position is further used as a first circle center, a certain distance R is used as a radius to establish a first circular cleaning area,
the clearing and transportingThe region selection module acquires the distance between the position of other garbage collection points and the first position
Figure 829911DEST_PATH_IMAGE001
When the distance between the position of any other garbage collection point and the first position
Figure 578424DEST_PATH_IMAGE001
The difference between the two and 2R is
Figure 582152DEST_PATH_IMAGE002
When the distance difference is smaller than or equal to a preset distance difference threshold value, the clearing region selecting module stores the corresponding garbage collecting point position into a circle center garbage collecting point set, the clearing region selecting module further selects a garbage collecting point position which is closest to the edge of the region from the circle center garbage collecting point set, the garbage collecting point position is a second position, the second position is further used as a second circle center, a second circular clearing region is established by using a certain distance R as a radius, a plurality of circular clearing regions are repeatedly established until the overlapping region area between the newly established circular clearing region and the previously established circular clearing region is larger than or equal to the region area threshold value, when a garbage clearing route is planned, the garbage clearing region is determined first, a region is selected, a plurality of small regions are established from the edge of the region, and then the region is located in the middle, the garbage cleaning route of each region is planned until the garbage cleaning region is divided into a plurality of small regions, so that the garbage cleaning efficiency can be improved, the streets are ensured to be clean and tidy, and a good living environment is provided for people.
Further, the cleaning and transporting area selecting module is further connected with a garbage cleaning and transporting route generating module, the garbage cleaning and transporting route generating module acquires position information of garbage collection points and position information of circle centers in any circular cleaning and transporting area, the garbage cleaning and transporting route generating module further calculates a first distance between the position of the garbage collection points in the circular cleaning and transporting area and the edge of the circular cleaning and transporting area, when the first distance is smaller than a distance threshold, the garbage cleaning and transporting route generating module acquires corresponding positions of the garbage collection points and further acquires all main road route schemes between the corresponding positions of the garbage collection points and the circle centers of the circular cleaning and transporting area, and the garbage cleaning and transporting route is determined according to the positions of the garbage collection points, so that all main street schemes are selected first and the garbage collection points are selected not far away from the edge position of the circular cleaning and transporting area due to the large size of the garbage truck, the method is to ensure that in the garbage treatment and recycling process, garbage in the area can be cleaned up, all main street route schemes are analyzed, the generated garbage amount on each route is different according to different time periods, the number of merchants on each route and the pedestrian volume of each time period on each route, so that specific analysis is needed, the number of merchants operating in a certain time period is large through comparison and judgment, the pedestrian volume is dense, the route needs to be cleaned preferentially, and the problem of garbage accumulation is caused because more garbage is usually left on the route and untimely cleaning is not performed.
Further, the garbage clearing route generating module is further connected with a merchant position acquiring module, the merchant position acquiring module further acquires position information of all merchants in the circular clearing area, the merchant position acquiring module acquires the main street route scheme through the garbage clearing route generating module, the merchant position acquiring module further acquires information of all merchants at a certain distance from the main street route according to the main street route scheme, and establishes a corresponding relationship between the merchants and the main street route, the merchant position acquiring module is connected with the merchant operation time acquiring module, so long as there is a place of a merchant, it means that there is a flow of people, and according to the operation properties of the merchants, such as restaurant and clothing store, etc., there is a phenomenon that people's patronage can leave garbage, and according to the difference of the operation properties and time periods of the merchants, there is a difference in the amount of generated garbage, for example, in the breakfast shop, not only people who buy breakfast leave garbage, but also a large amount of kitchen garbage in the breakfast shop in the morning, for example, in a common restaurant, people can leave garbage and kitchen garbage in the noon or at night, and if the garbage is not cleaned in time, the street appearance is affected, and in summer, the smell and the unpleasant smell of the garbage can affect the passing of people.
Further, the merchant operation time acquisition module acquires all main street road line schemes through the garbage clearing route generation module, the merchant operation time acquisition module further acquires merchant information corresponding to any main street road line scheme according to the corresponding relation between the main street road line scheme and the merchants, the merchant operation time acquisition module acquires the merchant operation time information according to the merchant information, the operation time information comprises the merchant operation time and the merchant non-operation time in one day, the merchant operation time acquisition module further calculates the business operation time of the merchants according to the merchant operation time and the merchant non-operation time,
the business operation time acquisition module is connected with the business classification module, the business classification module further acquires all business operation times corresponding to any main street road line scheme through the business operation time acquisition module, the business classification module acquires the business operation time and the business operation duration of the business, and further divides a plurality of business operation time intervals, the business classification module acquires the business operation durations of all the businesses in the same business operation time interval, the business classification module calculates the difference value of the business operation durations between every two business operation durations of any business, when the difference value is less than or equal to the difference threshold value, the business classification module stores the two corresponding businesses into the same business classification set, and according to the difference of the business operation time intervals, the businesses are roughly classified.
Further, the merchant classification module further continuously classifies merchants in the same merchant classification set, the merchant classification module acquires the information of operation items of all merchants in the same merchant classification set, the merchant classification module further classifies merchants with the same operation items in the same merchant classification set into one category according to the information of the operation items, the merchant classification comprises the operation time and the information of the operation items of the merchant, the merchant is further classified according to the operation items and in combination with the operation time period, the proportion of the total amount of the merchants of each category of merchants on the whole line is calculated, the distribution density of each operation time period and each type of merchants on the whole line is analyzed, the people flow density is combined, the best cleaning line is selected for priority cleaning, so as to improve the cleaning efficiency of garbage,
the merchant classification module is connected with a merchant distribution density analysis module, the merchant distribution density analysis module is further connected with a garbage clearing route generation module, the merchant distribution density analysis module acquires a main street route scheme through the garbage clearing route generation module, the merchant distribution density analysis module further acquires classification information of all merchants corresponding to the main street route scheme, the merchant distribution density analysis module counts the number of the same type of merchants on the main street route scheme and the number of all merchants corresponding to the main street route scheme, calculates the proportion of the number of each type of merchants, and takes the proportion as the distribution density value of each type of merchants on the main street route scheme.
Further, the merchant distribution density analysis module is connected with the garbage clearing route selection module, the garbage clearing route selection module is also connected with the garbage clearing route generation module,
the garbage cleaning route selecting module further obtains all main street route schemes, obtains the distribution density value of each type of corresponding business on each main street road line according to the main street road line schemes, further analyzes the distribution condition of each type of business on each main street road line according to the distribution density value, and obtains the length of each main street line and the total number of the business on each main street road line in any circular cleaning area.
Further, the garbage clearing route selecting module calculates the difference between the distribution density values of all the same type of merchants on any two main street roads,
when the difference between the distribution density values is smaller than or equal to the distribution density value difference threshold, the distribution densities of the merchants on the two lines are similar, but the lengths of the two lines and the total number of the merchants on the lines are further compared, when the comparison result is not similar, the two lines are similar, the people flow density on the lines is further referred to, the larger the people flow density is, the more the left rubbish is, the difference between the length proportion value between any two main street lines and the proportion value of the total number of the merchants is further calculated by the rubbish clearing route selecting module, and when the difference is smaller than or equal to a preset value, the people flow density of each business period corresponding to the merchant classification on any two main street lines is further obtained by the clearing route selecting module through the people flow density analyzing module, in each business period, the garbage cleaning route selecting module preferentially selects a main street route with high pedestrian volume density for cleaning,
when the difference value is larger than a preset value, the difference value indicates that the distribution densities of merchants on two lines have a large difference, the clearing route selecting module further respectively calculates the ratio of the total number of the merchants on any two main street lines to the length of the lines, and then compares the ratio, the garbage clearing route selecting module preferentially selects the main street line with the large ratio for clearing, the ratio indicates that the distance between the merchants on the line is relatively short, the situation that the garbage of the merchants is placed at the same garbage collecting point when the merchants are relatively short is likely, the garbage collecting point is likely to be saturated, the path with the large ratio is preferentially cleared, the garbage is timely recovered, the saturated state of the garbage collecting point is relieved, and convenience is created for the life of people;
otherwise, the garbage cleaning route selecting module further obtains the pedestrian volume density of each business time period on any two main street roads, and in each business time period, the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian volume density for cleaning, so that more people represent more left garbage, and more routes are preferentially cleaned, thereby improving the garbage recovery efficiency and solving the garbage accumulation problem.
Further, an intelligent information analysis processing method based on big data comprises the following steps:
s1: acquiring the position of a garbage collection point, and establishing a circular clearing area according to the position of the garbage collection point;
s2: generating a garbage clearing route according to the center of a circle of the circular clearing area and the position of a garbage collecting point near the edge;
s3: acquiring positions of all merchants and merchant information at a certain distance from the garbage clearing route;
s4: classifying the merchants according to the merchant business time and the merchant business items and calculating the distribution density value of each type of merchants on each garbage clearing route;
s5: and selecting the garbage clearing routes for preferential clearing according to the length of the garbage clearing routes, the distribution density of each type of merchants on each garbage clearing route, the business hours of each type of merchants on each garbage clearing route and the people flow density of each business hour.
Further, the intelligent information analysis processing method further comprises the following steps:
s1-1: the cleaning area selection module is connected with the garbage collection point position storage module, acquires the position information of the garbage collection points in a certain area through the garbage collection point position storage module, determines the position of the garbage collection point which is closest to the edge of the area in the certain area, the garbage collection point is a first position, the first position is further used as a first circle center, a certain distance R is used as a radius to establish a first circular cleaning area,
the cleaning area selection module acquires the distance between the position of other garbage collection points and the first position
Figure 226760DEST_PATH_IMAGE001
When the distance between the position of any other garbage collection point and the first position
Figure 683149DEST_PATH_IMAGE001
The difference between 2R is
Figure 173037DEST_PATH_IMAGE002
Less than or equal to a preset distance difference threshold valueWhen the garbage collection point is located in the circle center garbage collection point set, the cleaning region selection module selects a garbage collection point located closest to the edge of the region from the circle center garbage collection point set, the garbage collection point is located at a second position, the second position is further used as a second circle center, a second circular cleaning region is established by taking a certain distance R as a radius, and a plurality of circular cleaning regions are repeatedly established until the overlapping region area between the newly established circular cleaning region and the previously established circular cleaning region is larger than or equal to the region area threshold value;
s2-1: the garbage clearing and transporting route generation module is further used for calculating a first distance between the position of the garbage collection point in the circular clearing and transporting area and the edge of the circular clearing and transporting area, and when the first distance is smaller than a distance threshold value, the garbage clearing and transporting route generation module is used for acquiring the corresponding position of the garbage collection point and further acquiring all main street route schemes between the corresponding position of the garbage collection point and the circle center of the circular clearing and transporting area;
s3-1: the garbage clearing route generating module is also connected with a merchant position acquiring module, the merchant position acquiring module is further used for acquiring all merchant position information in the circular clearing area, the merchant position acquiring module is used for acquiring a main street route scheme through the garbage clearing route generating module, the merchant position acquiring module is further used for acquiring all merchant information which is at a certain distance away from a main street road line according to the main street road line scheme, the corresponding relation between merchants and the main street route is established, and the merchant position acquiring module is connected with a merchant operation time acquiring module;
s4-1: the merchant operation time acquisition module acquires all main street road line schemes through the garbage clearing route generation module, the merchant operation time acquisition module further acquires merchant information corresponding to any main street road line scheme according to the corresponding relation between the main street road line scheme and merchants, the merchant operation time acquisition module acquires the merchant operation time information according to the merchant information, the operation time information comprises the merchant operation time and the merchant non-operation time in one day, the merchant operation time acquisition module further calculates the business operation time of the merchants according to the merchant operation time and the merchant non-operation time,
the merchant operation time acquisition module is connected with the merchant classification module, the merchant classification module further acquires all merchant operation times corresponding to any main street road line scheme through the merchant operation time acquisition module, the merchant classification module acquires merchant operation time and business duration of merchants, further divides a plurality of merchant operation time intervals, the merchant classification module acquires the business duration of all merchants in the same merchant operation time interval, the merchant classification module calculates the difference value of the business duration between any two business durations of any merchant, and when the difference value is less than or equal to the difference threshold value, the merchant classification module stores the two corresponding merchants into the same merchant classification set,
the merchant classifying module further classifies merchants in the same merchant classification set continuously, the merchant classifying module acquires the operation item information of all merchants in the same merchant classification set, the merchant classifying module further classifies merchants with the same operation items in the same merchant classification set into one category according to the operation item information, the merchant classification comprises the operation time and the operation item information of the merchant,
the merchant classification module is connected with the merchant distribution density analysis module, the merchant distribution density analysis module is also connected with the garbage clearing route generation module, the merchant distribution density analysis module acquires a main street route scheme through the garbage clearing route generation module, the merchant distribution density analysis module further acquires classification information of all merchants corresponding to the main street route scheme, the merchant distribution density analysis module counts the number of the same type of merchants and the number of all merchants corresponding to the main street route scheme on the main street route scheme, calculates the proportion of the number of each type of merchants, and takes the proportion as the distribution density value of each type of merchants on the main street route scheme;
s5-1: the merchant distribution density analysis module is connected with the garbage clearing route selection module, the garbage clearing route selection module is also connected with the garbage clearing route generation module,
the garbage cleaning route selecting module further acquires all main street route schemes, acquires the distribution density value of each type of merchant corresponding to each main street road line according to the main street road line schemes, further analyzes the distribution condition of each type of merchant on each main street road line according to the distribution density value, acquires the length of each main street line and the total number of merchants on each main street road line in any circular cleaning area,
the garbage clearing route selection module calculates the difference of the distribution density values of all the same type of merchants on any two main street roads,
when the difference between the distribution density values is less than or equal to the distribution density value difference threshold value, the garbage cleaning route selection module further calculates the difference between the length proportion value between any two main street routes and the proportion value of the total number of merchants, when the difference is less than or equal to a preset value, the cleaning route selection module further obtains the pedestrian flow density of each business period corresponding to the merchant classification on any two main street routes through the pedestrian flow density analysis module, and in each business period, the garbage cleaning route selection module preferentially selects the main street route with high pedestrian flow density for cleaning,
when the difference value is larger than a preset value, the cleaning route selecting module further respectively calculates the ratio of the total number of merchants on any two main street roads to the length of the route, then compares the ratio, and the garbage cleaning route selecting module preferentially selects the main street route with the large ratio for cleaning;
otherwise, the garbage cleaning route selecting module further obtains the pedestrian volume density of each business period on any two main street roads, and the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian volume density to clean in each business period.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the position information of the garbage collection points is obtained, the circular garbage clearing area is further established, the garbage clearing route is generated in the area, and the optimal garbage clearing route is selected for clearing according to the distribution density of merchants on the route, the merchant operation time period, the length of the clearing route and the pedestrian volume density in each merchant operation time period, so that the purposes of saving time and improving the garbage clearing and recycling efficiency are achieved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of an intelligent big data-based information analysis and processing system according to the present invention;
fig. 2 is a schematic step diagram of an intelligent information analysis processing method based on big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions:
an intelligent information analysis processing system based on big data comprises a garbage collection point position storage module, a merchant position acquisition module, a merchant operation time acquisition module, a merchant classification module, a merchant distribution density analysis module, a people flow density analysis module, a clearing area selection module, a garbage clearing route generation module and a garbage clearing route selection module,
the garbage collection point position storage module is used for storing position information of garbage collection points, the merchant position acquisition module is used for acquiring position information of merchants, the merchant operation time acquisition module is used for analyzing business time periods of the merchants, the merchant classification module is used for uniformly classifying types of the merchants according to business time and business items of the merchants, the merchant distribution density analysis module is used for analyzing distribution density of the merchants on garbage truck cleaning and transporting routes, the people flow density analysis module is used for acquiring people flow density in a certain area according to the time periods, the cleaning and transporting area selection module is used for dividing and selecting garbage cleaning and transporting areas at any time according to the position information of the garbage collection points stored in the garbage collection point position storage module, and the garbage cleaning and transporting route generation module is used for generating cleaning and transporting routes of the garbage trucks according to the garbage cleaning and transporting areas and the positions of the garbage collection points, the garbage cleaning route selecting module is used for selecting a cleaning running route of the garbage truck according to the time period and the density change condition of the pedestrian volume.
The cleaning area selection module is connected with the garbage collection point position storage module, acquires the position information of the garbage collection points in a certain area through the garbage collection point position storage module, determines the position of the garbage collection point which is closest to the edge of the area in the certain area, the garbage collection point is a first position, the first position is further used as a first circle center, a certain distance R is used as a radius to establish a first circular cleaning area,
the cleaning area selection module acquires the distance between the position of other garbage collection points and the first position
Figure 765692DEST_PATH_IMAGE001
When the distance between the position of any other garbage collection point and the first position
Figure 375009DEST_PATH_IMAGE001
The difference between the two and 2R is
Figure 318694DEST_PATH_IMAGE002
When the distance difference is smaller than or equal to a preset distance difference threshold value, the clearing and transporting area selecting module stores the corresponding garbage collecting point position into the circle center garbage collecting point set, the clearing and transporting area selecting module further selects the garbage collecting point position which is closest to the edge of the area from the circle center garbage collecting point set, the garbage collecting point position is a second position, the second position is further used as a second circle center, a second circular clearing and transporting area is established by using a certain distance R as a radius, and a plurality of circular clearing and transporting areas are repeatedly established,the establishment is stopped until the overlap area between the newly established circular clearing zone and the previously established circular clearing zone is greater than or equal to a zone area threshold.
The garbage clearing and transporting route generation module is further used for calculating a first distance between the position of the garbage collection point in the circular clearing and transporting area and the edge of the circular clearing and transporting area, and when the first distance is smaller than a distance threshold value, the garbage clearing and transporting route generation module is used for acquiring the position of the corresponding garbage collection point and further acquiring all main street route schemes between the position of the corresponding garbage collection point and the circle center of the circular clearing and transporting area.
The garbage clearing route generating module is further connected with a merchant position acquiring module, the merchant position acquiring module is further used for acquiring position information of all merchants in the circular clearing area, the merchant position acquiring module is used for acquiring a main street route scheme through the garbage clearing route generating module, the merchant position acquiring module is further used for acquiring information of all merchants at a certain distance from a main street road line according to the main street route scheme, a corresponding relation between merchants and the main street route is established, and the merchant position acquiring module is connected with the merchant operation time acquiring module.
The merchant operation time acquisition module acquires all main street road line schemes through the garbage clearing route generation module, the merchant operation time acquisition module further acquires merchant information corresponding to any main street road line scheme according to the corresponding relation between the main street road line scheme and the merchant, the merchant operation time acquisition module acquires the merchant operation time information according to the merchant information, the operation time information comprises merchant operation time and merchant non-operation time in one day, the merchant operation time acquisition module further calculates the business operation time of the merchant according to the merchant operation time and the merchant non-operation time,
the business operation time acquisition module is connected with the business classification module, the business classification module further acquires business time of all the businesses corresponding to any main street road line scheme through the business operation time acquisition module, the business classification module acquires business operation time and business operation duration of the businesses, the business operation time intervals of a plurality of businesses are further divided, the business classification module acquires the business operation duration of all the businesses in the same business operation time interval, the business classification module calculates difference values of the business operation duration between every two business operation durations of any business, and when the difference values are smaller than or equal to a difference threshold value, the business classification module stores the two corresponding businesses into the same business classification set.
The merchant classifying module further classifies merchants in the same merchant classification set continuously, the merchant classifying module acquires the operation item information of all merchants in the same merchant classification set, the merchant classifying module further classifies merchants with the same operation items in the same merchant classification set into one category according to the operation item information, the merchant classification comprises the operation time and the operation item information of the merchant,
the merchant classification module is connected with the merchant distribution density analysis module, the merchant distribution density analysis module is further connected with the garbage clearing route generation module, the merchant distribution density analysis module obtains a main street route scheme through the garbage clearing route generation module, the merchant distribution density analysis module further obtains classification information of all merchants corresponding to the main street route scheme, the merchant distribution density analysis module counts the number of the same type of merchants and the number of all merchants corresponding to the main street route scheme on the main street route scheme, the occupation ratio of the number of each type of merchants is calculated, and the occupation ratio is used as the distribution density value of each type of merchants on the main street route scheme.
The merchant distribution density analysis module is connected with the garbage clearing route selection module, the garbage clearing route selection module is also connected with the garbage clearing route generation module,
the garbage cleaning and transporting route selecting module further obtains all main street route schemes, the distribution density value of each type of corresponding business on each main street road line is obtained according to the main street road line schemes, the distribution condition of each type of business on each main street road line is further analyzed according to the distribution density value, and in any circular cleaning and transporting area, the garbage cleaning and transporting route selecting module obtains the length of each main street line and the total number of businesses on each main street road line.
The garbage clearing route selection module calculates the difference of the distribution density values of all the same type of merchants on any two main street roads,
when the difference between the distribution density values is less than or equal to the distribution density value difference threshold, the garbage cleaning route selecting module further calculates the difference between the length proportion value between any two main street routes and the proportion value of the total number of merchants, when the difference is less than or equal to a preset value, the cleaning route selecting module further obtains the pedestrian flow density of each business time interval corresponding to the merchant classification on any two main street routes through the pedestrian flow density analyzing module, and in each business time interval, the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian flow density for cleaning,
when the difference value is larger than the preset value, the cleaning and transporting route selecting module further respectively calculates the ratio of the total number of merchants on any two main street roads to the length of the route, then compares the ratio, and the garbage cleaning and transporting route selecting module preferentially selects the main street route with the larger ratio for cleaning;
otherwise, the garbage cleaning route selecting module further obtains the pedestrian volume density of each business period on any two main street roads, and the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian volume density to clean in each business period.
An intelligent information analysis processing method based on big data comprises the following steps:
s1: acquiring the position of a garbage collection point, and establishing a circular clearing area according to the position of the garbage collection point;
s2: generating a garbage clearing route according to the center of a circle of the circular clearing area and the position of a garbage collecting point near the edge;
s3: acquiring positions of all merchants and merchant information at a certain distance from the garbage clearing route;
s4: classifying the merchants according to the business hours and business items of the merchants and calculating the distribution density value of each type of merchant on each garbage clearing route;
s5: and selecting the garbage clearing routes for preferential clearing according to the length of the garbage clearing routes, the distribution density of each type of merchants on each garbage clearing route, the business hours of each type of merchants on each garbage clearing route and the people flow density of each business hour.
The intelligent information analysis processing method also comprises the following steps:
s1-1: the cleaning area selection module is connected with the garbage collection point position storage module, acquires the position information of the garbage collection points in a certain area through the garbage collection point position storage module, determines the position of the garbage collection point which is closest to the edge of the area in the certain area, the garbage collection point is a first position, the first position is further used as a first circle center, a certain distance R is used as a radius to establish a first circular cleaning area,
the cleaning area selection module acquires the distance between the position of other garbage collection points and the first position
Figure 877852DEST_PATH_IMAGE001
When the distance between the position of any other garbage collection point and the first position
Figure 590593DEST_PATH_IMAGE001
The difference between 2R is
Figure 311424DEST_PATH_IMAGE002
When the distance difference is smaller than or equal to a preset distance difference threshold value, the clearing region selecting module stores the corresponding garbage collecting point position into the circle center garbage collecting point set, the clearing region selecting module further selects a garbage collecting point position which is closest to the edge of the region from the circle center garbage collecting point set, the garbage collecting point position is a second position, the second position is further used as a second circle center, a second circular clearing region is established by taking a certain distance R as a radius, and a plurality of circular clearing regions are repeatedly established until the overlapping region area between the newly established circular clearing region and the previously established circular clearing region is larger than or equal to the region area threshold value, and the establishment is stopped;
s2-1: the garbage clearing and transporting route generation module is further used for calculating a first distance between the position of the garbage collection point in the circular clearing and transporting area and the edge of the circular clearing and transporting area, and when the first distance is smaller than a distance threshold value, the garbage clearing and transporting route generation module is used for acquiring the corresponding position of the garbage collection point and further acquiring all main street route schemes between the corresponding position of the garbage collection point and the circle center of the circular clearing and transporting area;
s3-1: the garbage clearing route generating module is also connected with a merchant position acquiring module, the merchant position acquiring module is further used for acquiring all merchant position information in the circular clearing area, the merchant position acquiring module is used for acquiring a main street route scheme through the garbage clearing route generating module, the merchant position acquiring module is further used for acquiring all merchant information which is at a certain distance away from a main street road line according to the main street road line scheme, the corresponding relation between merchants and the main street route is established, and the merchant position acquiring module is connected with a merchant operation time acquiring module;
s4-1: the merchant operation time acquisition module acquires all main street road line schemes through the garbage clearing route generation module, the merchant operation time acquisition module further acquires merchant information corresponding to any main street road line scheme according to the corresponding relation between the main street road line scheme and merchants, the merchant operation time acquisition module acquires the merchant operation time information according to the merchant information, the operation time information comprises the merchant operation time and the merchant non-operation time in one day, the merchant operation time acquisition module further calculates the business operation time of the merchants according to the merchant operation time and the merchant non-operation time,
the merchant operation time acquisition module is connected with the merchant classification module, the merchant classification module further acquires all merchant operation times corresponding to any main street road line scheme through the merchant operation time acquisition module, the merchant classification module acquires merchant operation time and business duration of merchants, further divides a plurality of merchant operation time intervals, the merchant classification module acquires the business duration of all merchants in the same merchant operation time interval, the merchant classification module calculates the difference value of the business duration between any two business durations of any merchant, and when the difference value is less than or equal to the difference threshold value, the merchant classification module stores the two corresponding merchants into the same merchant classification set,
the merchant classifying module further classifies merchants in the same merchant classification set continuously, the merchant classifying module acquires the operation item information of all merchants in the same merchant classification set, the merchant classifying module further classifies merchants with the same operation items in the same merchant classification set into one category according to the operation item information, the merchant classification comprises the operation time and the operation item information of the merchant,
the merchant distribution density analysis module is used for counting the number of merchants of the same type on the main street route scheme and the number of all merchants corresponding to the main street route scheme, calculating the proportion of the number of each type of merchants, and taking the proportion as the distribution density value of each type of merchants on the main street route scheme;
s5-1: the merchant distribution density analysis module is connected with the garbage clearing route selection module, the garbage clearing route selection module is also connected with the garbage clearing route generation module,
the garbage cleaning route selecting module further acquires all main street route schemes, acquires the distribution density value of each type of corresponding merchant on each main street according to the main street route schemes, further analyzes the distribution condition of each type of merchant on each main street according to the distribution density value, acquires the length of each main street route and the total number of merchants on each main street in any circular cleaning area,
the garbage clearing route selection module calculates the difference of the distribution density values of all the same type of merchants on any two main street roads,
when the difference between the distribution density values is less than or equal to the distribution density value difference threshold, the garbage cleaning route selecting module further calculates the difference between the length proportion value between any two main street routes and the proportion value of the total number of merchants, when the difference is less than or equal to a preset value, the cleaning route selecting module further obtains the pedestrian flow density of each business time interval corresponding to the merchant classification on any two main street routes through the pedestrian flow density analyzing module, and in each business time interval, the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian flow density for cleaning,
when the difference value is larger than a preset value, the cleaning route selecting module further respectively calculates the ratio of the total number of merchants on any two main street roads to the length of the route, then compares the ratio, and the garbage cleaning route selecting module preferentially selects the main street route with the large ratio for cleaning;
otherwise, the garbage cleaning route selecting module further obtains the pedestrian volume density of each business period on any two main street roads, and the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian volume density to clean in each business period.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The utility model provides an intelligent information analysis processing system based on big data which characterized in that: comprises a garbage collection point position storage module, a merchant position acquisition module, a merchant operation time acquisition module, a merchant classification module, a merchant distribution density analysis module, a people flow density analysis module, a clearing area selection module, a garbage clearing route generation module and a garbage clearing route selection module,
the garbage collection point position storage module is used for storing position information of garbage collection points, the merchant position acquisition module is used for acquiring position information of merchants, the merchant operation time acquisition module is used for analyzing business time periods of the merchants, the merchant classification module is used for uniformly classifying types of the merchants according to business time and business items of the merchants, the merchant distribution density analysis module is used for analyzing distribution density of the merchants on garbage truck cleaning and transporting travel routes, the people flow density analysis module is used for acquiring people flow density in a certain area according to the time periods, the cleaning and transporting area selection module is used for dividing and selecting garbage cleaning and transporting areas at any time according to the position information of the garbage collection points stored in the garbage collection point position storage module, and the garbage cleaning and transporting route generation module is used for generating the cleaning and transporting travel routes of the garbage trucks according to the garbage cleaning and the positions of the garbage collection points, the garbage cleaning route selecting module is used for selecting a cleaning running route of the garbage truck according to the time period and the change condition of the people flow density.
2. The intelligent big data-based information analysis and processing system according to claim 1, wherein: the cleaning area selecting module is connected with the garbage collecting point position storing module, the cleaning area selecting module acquires the position information of the garbage collecting points in a certain area through the garbage collecting point position storing module, the cleaning area selecting module determines the position of the garbage collecting point which is closest to the edge of the area in the certain area, the position of the garbage collecting point is a first position, the first position is further used as a first circle center, a certain distance R is used as a radius to establish a first circular cleaning area,
the cleaning area selection module acquires the distance between the position of other garbage collection points and the first position
Figure 194897DEST_PATH_IMAGE001
When the distance between the position of any other garbage collection point and the first position
Figure 700965DEST_PATH_IMAGE001
The difference between the two and 2R is
Figure 182762DEST_PATH_IMAGE002
When the distance difference is smaller than or equal to a preset distance difference threshold value, the clearing region selecting module stores the corresponding garbage collecting point position into the circle center garbage collecting point set, the clearing region selecting module further selects the garbage collecting point position closest to the edge of the region from the circle center garbage collecting point set, the garbage collecting point position is a second position, the second position is further used as a second circle center, a second circular clearing region is established by using a certain distance R as a radius, a plurality of circular clearing regions are repeatedly established, and the establishment is stopped until the overlapping region area between the newly established circular clearing region and the previously established circular clearing region is larger than or equal to the region area threshold value.
3. The intelligent big data-based information analysis and processing system according to claim 1 or 2, wherein: the cleaning area selecting module is further connected with a garbage cleaning route generating module, the garbage cleaning route generating module acquires garbage collection point position information and circle center position information in any circular cleaning area, the garbage cleaning route generating module further calculates a first distance between the garbage collection point position in the circular cleaning area and the edge of the circular cleaning area, when the first distance is smaller than a distance threshold value, the garbage cleaning route generating module acquires a corresponding garbage collection point position, and further acquires all main street route schemes between the corresponding garbage collection point position and the circle center of the circular cleaning area.
4. The intelligent big data-based information analysis and processing system according to claim 3, wherein: the garbage clearing route generation module is further connected with a merchant position acquisition module, the merchant position acquisition module is further used for acquiring position information of all merchants in the circular clearing area, the merchant position acquisition module is used for acquiring the main street route scheme through the garbage clearing route generation module, the merchant position acquisition module is further used for acquiring information of all merchants at a certain distance from the main street route according to the main street route scheme, and establishing a corresponding relation between merchants and the main street route, and the merchant position acquisition module is connected with a merchant operation time acquisition module.
5. The intelligent big data-based information analysis and processing system according to claim 4, wherein: the merchant operation time acquisition module acquires all main street road line schemes through the garbage clearing route generation module, the merchant operation time acquisition module further acquires merchant information corresponding to any main street road line scheme according to the corresponding relation between the main street road line schemes and merchants, the merchant operation time acquisition module acquires the merchant operation time information according to the merchant information, the operation time information comprises the merchant operation time and the merchant non-operation time within one day, the merchant operation time acquisition module further calculates the business operation time of the merchants according to the merchant operation time and the merchant non-operation time,
the business operation time acquisition module is connected with the business classification module, the business classification module further acquires all business operation times corresponding to any main street road line scheme through the business operation time acquisition module, the business classification module acquires the business operation time and the business operation duration of the business, and further divides a plurality of business operation time intervals, the business classification module acquires the business operation durations of all the businesses in the same business operation time interval, the business classification module calculates the difference value of the business operation durations between every two business operation durations of any business, and when the difference value is smaller than or equal to the difference threshold value, the business classification module stores the corresponding two businesses into the same business classification set.
6. The intelligent big data-based information analysis and processing system according to claim 5, wherein: the merchant classifying module further classifies merchants in the same merchant classifying set continuously, the merchant classifying module acquires the information of the operation items of all merchants in the same merchant classifying set, the merchant classifying module further classifies merchants with the same operation items in the same merchant classifying set into one category according to the information of the operation items, the merchant classifying includes the operation time and the operation item information of the merchant,
the merchant classification module is connected with a merchant distribution density analysis module, the merchant distribution density analysis module is further connected with a garbage clearing route generation module, the merchant distribution density analysis module acquires a main street route scheme through the garbage clearing route generation module, the merchant distribution density analysis module further acquires classification information of all merchants corresponding to the main street route scheme, the merchant distribution density analysis module counts the number of the same type of merchants on the main street route scheme and the number of all merchants corresponding to the main street route scheme, calculates the proportion of the number of each type of merchants, and takes the proportion as the distribution density value of each type of merchants on the main street route scheme.
7. The intelligent big data-based information analysis and processing system according to claim 6, wherein: the merchant distribution density analysis module is connected with the garbage clearing route selection module, the garbage clearing route selection module is also connected with the garbage clearing route generation module,
the garbage cleaning route selecting module further obtains all main street route schemes, obtains the distribution density value of each type of corresponding business on each main street road line according to the main street road line schemes, further analyzes the distribution condition of each type of business on each main street road line according to the distribution density value, and obtains the length of each main street line and the total number of the business on each main street road line in any circular cleaning area.
8. The intelligent big data-based information analysis and processing system according to claim 7, wherein: the garbage clearing route selecting module calculates the difference of the distribution density values of all the same type of merchants on any two main street roads,
when the difference between the distribution density values is less than or equal to a distribution density value difference threshold value, the garbage cleaning route selecting module further calculates the difference between the length proportion value between any two main street routes and the proportion value of the total number of merchants, when the difference is less than or equal to a preset value, the cleaning route selecting module further obtains the people flow density of each business time corresponding to the merchant classification on any two main street routes through a people flow density analyzing module, and in each business time, the garbage cleaning route selecting module preferentially selects the main street route with high people flow density for cleaning,
when the difference value is larger than a preset value, the clearing route selecting module further calculates the ratio of the total number of merchants on any two main street lines to the route length, and then compares the ratio, and the garbage clearing route selecting module preferentially selects the main street line with the larger ratio for cleaning;
otherwise, the garbage cleaning route selecting module further obtains the pedestrian volume density of each business time interval on any two main street roads, and in each business time interval, the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian volume density for cleaning.
9. An intelligent information analysis processing method based on big data is characterized in that: the intelligent information analysis processing method comprises the following steps:
s1: acquiring the position of a garbage collection point, and establishing a circular clearing area according to the position of the garbage collection point;
s2: generating a garbage clearing route according to the center of a circle of the circular clearing area and the position of a garbage collecting point near the edge;
s3: acquiring positions of all merchants and merchant information at a certain distance from the garbage clearing route;
s4: classifying the merchants according to the merchant business time and the merchant business items and calculating the distribution density value of each type of merchants on each garbage clearing route;
s5: and selecting the garbage cleaning routes for preferential cleaning according to the lengths of the garbage cleaning routes, the distribution density of each type of merchants on each garbage cleaning route, the business hours of each type of merchant on each garbage cleaning route and the people flow density in each business hour.
10. The intelligent information analysis and processing method based on big data according to claim 9, wherein: the intelligent information analysis processing method further comprises the following steps:
s1-1: the cleaning and transporting area selecting module is connected with the garbage collecting point position storing module, the cleaning and transporting area selecting module acquires the position information of the garbage collecting points in a certain area through the garbage collecting point position storing module, the cleaning and transporting area selecting module determines the position of the garbage collecting point which is closest to the edge of the area in the certain area, the garbage collecting point is a first position, the first position is further used as a first circle center, a certain distance R is used as a radius to establish a first circular cleaning and transporting area,
the cleaning area selection module acquires the distance between the position of other garbage collection points and the first position
Figure 596426DEST_PATH_IMAGE001
When the distance between the position of any other garbage collection point and the first position
Figure 276806DEST_PATH_IMAGE001
The difference between the two and 2R is
Figure 750512DEST_PATH_IMAGE002
When the distance difference is smaller than or equal to a preset distance difference threshold value, the clearing region selecting module stores the corresponding garbage collecting point position into the circle center garbage collecting point set, the clearing region selecting module further selects a garbage collecting point position which is closest to the edge of the region from the circle center garbage collecting point set, the garbage collecting point position is a second position, the second position is further used as a second circle center, a second circular clearing region is established by taking a certain distance R as a radius, and a plurality of circular clearing regions are repeatedly established until the overlapping region area between the newly established circular clearing region and the previously established circular clearing region is larger than or equal to the region area threshold value, and the establishment is stopped;
s2-1: the cleaning area selection module is also connected with a garbage cleaning route generation module, the garbage cleaning route generation module acquires the position information and the center position information of a garbage collection point in any circular cleaning area, the garbage cleaning route generation module further calculates a first distance between the position of the garbage collection point in the circular cleaning area and the edge of the circular cleaning area, when the first distance is smaller than a distance threshold value, the garbage cleaning route generation module acquires the corresponding position of the garbage collection point, and further acquires all main street line schemes between the position of the corresponding garbage collection point and the center of the circular cleaning area;
s3-1: the garbage clearing route generating module is also connected with a merchant position acquiring module, the merchant position acquiring module is further used for acquiring all merchant position information in the circular clearing area, the merchant position acquiring module is used for acquiring a main street route scheme through the garbage clearing route generating module, the merchant position acquiring module is further used for acquiring all merchant information which is at a certain distance away from a main street road line according to the main street road line scheme, the corresponding relation between merchants and the main street route is established, and the merchant position acquiring module is connected with a merchant operation time acquiring module;
s4-1: the merchant operation time acquisition module acquires all main street road line schemes through the garbage clearing route generation module, the merchant operation time acquisition module further acquires merchant information corresponding to any main street road line scheme according to the corresponding relation between the main street road line scheme and merchants, the merchant operation time acquisition module acquires the merchant operation time information according to the merchant information, the operation time information comprises the merchant operation time and the merchant non-operation time in one day, the merchant operation time acquisition module further calculates the business operation time of the merchants according to the merchant operation time and the merchant non-operation time,
the merchant operation time acquisition module is connected with the merchant classification module, the merchant classification module further acquires all merchant operation times corresponding to any main street road line scheme through the merchant operation time acquisition module, the merchant classification module acquires merchant operation time and business duration of merchants, further divides a plurality of merchant operation time intervals, the merchant classification module acquires the business duration of all merchants in the same merchant operation time interval, the merchant classification module calculates the difference value of the business duration between any two business durations of any merchant, and when the difference value is less than or equal to the difference threshold value, the merchant classification module stores the two corresponding merchants into the same merchant classification set,
the merchant classifying module further classifies the merchants in the same merchant classifying set continuously, the merchant classifying module acquires the information of the operation items of all the merchants in the same merchant classifying set, the merchant classifying module further classifies the merchants with the same operation items in the same merchant classifying set into one category according to the information of the operation items, the merchant classifying includes the operation time and the operation item information of the merchant,
the merchant classification module is connected with the merchant distribution density analysis module, the merchant distribution density analysis module is also connected with the garbage clearing route generation module, the merchant distribution density analysis module acquires a main street route scheme through the garbage clearing route generation module, the merchant distribution density analysis module further acquires classification information of all merchants corresponding to the main street route scheme, the merchant distribution density analysis module counts the number of the same type of merchants and the number of all merchants corresponding to the main street route scheme on the main street route scheme, calculates the proportion of the number of each type of merchants, and takes the proportion as the distribution density value of each type of merchants on the main street route scheme;
s5-1: the merchant distribution density analysis module is connected with the garbage clearing route selection module, the garbage clearing route selection module is also connected with the garbage clearing route generation module,
the garbage cleaning route selecting module further acquires all main street route schemes, acquires the distribution density value of each type of merchant corresponding to each main street road line according to the main street road line schemes, further analyzes the distribution condition of each type of merchant on each main street road line according to the distribution density value, acquires the length of each main street line and the total number of merchants on each main street road line in any circular cleaning area,
the garbage clearing route selection module calculates the difference of the distribution density values of all the same type of merchants on any two main street roads,
when the difference between the distribution density values is less than or equal to the distribution density value difference threshold, the garbage cleaning route selecting module further calculates the difference between the length proportion value between any two main street routes and the proportion value of the total number of merchants, when the difference is less than or equal to a preset value, the cleaning route selecting module further obtains the pedestrian flow density of each business time interval corresponding to the merchant classification on any two main street routes through the pedestrian flow density analyzing module, and in each business time interval, the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian flow density for cleaning,
when the difference value is larger than a preset value, the cleaning route selecting module further respectively calculates the ratio of the total number of merchants on any two main street roads to the length of the route, then compares the ratio, and the garbage cleaning route selecting module preferentially selects the main street route with the large ratio for cleaning;
otherwise, the garbage cleaning route selecting module further obtains the pedestrian volume density of each business time interval on any two main street roads, and the garbage cleaning route selecting module preferentially selects the main street route with high pedestrian volume density for cleaning in each business time interval.
CN202210708401.7A 2022-06-21 2022-06-21 Intelligent information analysis processing system and method based on big data Pending CN115099609A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117391398A (en) * 2023-12-06 2024-01-12 鲁控数字技术(山东)有限公司 Urban kitchen waste comprehensive management system and method based on big data

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117391398A (en) * 2023-12-06 2024-01-12 鲁控数字技术(山东)有限公司 Urban kitchen waste comprehensive management system and method based on big data
CN117391398B (en) * 2023-12-06 2024-05-28 鲁控数字技术(山东)有限公司 Urban kitchen waste comprehensive management system and method based on big data

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