CN112802560A - Information processing method and system based on cloud computing - Google Patents
Information processing method and system based on cloud computing Download PDFInfo
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Abstract
The invention discloses an information processing method and system based on cloud computing, relating to the technical field of information processing and solving the technical problem that the sewage discharge of an industrial park can not be sampled and detected in the prior art, so that the information processing efficiency of the park is low; the sewage discharged by factories in the park is detected, unqualified factories are reformed, the information processing efficiency is improved, and the pollution of waste water to the environment is reduced.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to an information processing method and system based on cloud computing.
Background
The information analysis processing system is the core content of the information service platform technology processing, and the information fusion technology applied in the system is an important technology which is accompanied with the emergence of an intelligent transportation system and has irreplaceable status and effect on system data processing and analysis. Information processing in industrial parks is also becoming increasingly important in the context of intense campus competition.
However, in the prior art, the sewage discharge of the industrial park can not be sampled and detected, thereby causing low information processing efficiency of the park.
Disclosure of Invention
The invention aims to provide an information processing method and system based on cloud computing, wherein sewage information of factories in an industrial park is analyzed through a sewage monitoring unit, so that each factory is monitored, the sewage information of the factories in the industrial park is obtained, a sewage analysis monitoring coefficient WSi of the factories in the industrial park is obtained through a formula, if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is more than or equal to a sewage analysis monitoring coefficient threshold value, a corresponding factory is judged to be unqualified to discharge sewage, a discharge unqualified signal is generated and sent to an information processing platform, and after the information processing platform receives the discharge unqualified signal, a sewage discharge rectification signal is generated and the sewage discharge rectification signal and the corresponding factories are sent to a mobile phone terminal of a monitoring person; the sewage discharged by factories in the park is detected, unqualified factories are reformed, the information processing efficiency is improved, and the pollution of waste water to the environment is reduced.
The purpose of the invention can be realized by the following technical scheme:
an information processing system based on cloud computing comprises an equipment monitoring unit, a sewage monitoring unit, an air detection unit, an intermediary acquisition unit, an information processing platform, a registration unit and a database;
the sewage monitoring unit is used for carrying out the analysis to the sewage information of producer in the industry garden, thereby monitor each producer, the sewage information of producer includes the pH valve data in the industry garden, discharge capacity data and suspended solid data, pH valve data is the numerical value of PH in the sewage that the producer discharged, discharge capacity data is the daily average discharge capacity that the producer discharged sewage, suspended solid data is the content of suspended solid in the sewage that the producer discharged, with the producer mark i in the industry garden, i is 1, 2, … …, n, n is the positive integer, the concrete analysis monitoring process is as follows:
step S1: acquiring a PH value in sewage discharged by a manufacturer through sampling detection, and marking the PH value in the sewage discharged by the manufacturer as PHI;
step S2: acquiring the daily average discharge capacity of sewage discharged by a manufacturer, and marking the daily average discharge capacity of the sewage discharged by the manufacturer as PLi;
step S3: obtaining the content of suspended matters in the sewage discharged by a manufacturer through sample extraction and sample detection, and marking the content of the suspended matters in the sewage discharged by the manufacturer as HLi;
step S4: by the formula
Acquiring a sewage analysis monitoring coefficient WSi of a factory in an industrial park, wherein a1, a2 and a3 are proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and is 2.0312451;
step S5: comparing a sewage analysis monitoring coefficient WSi of a factory in the industrial park with a sewage analysis monitoring coefficient threshold value:
if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is more than or equal to the sewage analysis monitoring coefficient threshold value, judging that the corresponding factories discharge sewage ineligibly, generating an unqualified discharge signal and sending the unqualified discharge signal to the information processing platform, and after receiving the unqualified discharge signal, the information processing platform generates a sewage discharge modification signal and sends the sewage discharge modification signal and the corresponding factories to the mobile phone terminals of monitoring personnel;
if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is smaller than the sewage analysis monitoring coefficient threshold value, judging that the corresponding factories discharge sewage to be qualified, generating a discharge qualified signal and sending the discharge qualified signal to the information processing platform, and after the information processing platform receives the discharge qualified signal, generating a sewage discharge normal signal and sending the sewage discharge normal signal and the corresponding factories to the mobile phone terminal of the manager.
Further, the air detection unit is used for analyzing the air information of the industrial park, so that the air quality of the industrial park is detected, the air information of the industrial park comprises humidity data, dust data and number of people data, the humidity data is the average humidity of all the days of air in the industrial park, the dust data is the dust content in the air in the industrial park, the number of people data is the total number of people walking around the road around the industrial park, and the specific analysis and detection process is as follows:
step SS 1: dividing the industrial park into a plurality of equal-area areas, marking the areas as o, o is 1, 2, … …, m, m is a positive integer, measuring and averaging through a sensor to obtain the average humidity of all the air in each area in the industrial park all day, and marking the average humidity of all the air in each area in the industrial park as SDo;
step SS 2: acquiring the dust content in the air in the industrial park, and marking the dust content in the air in the industrial park as HCo;
step SS 3: acquiring the total number of people walking all day around the road around the industrial park, and marking the total number of people walking all day around the road around the industrial park as RSo;
step SS 4: by the formula
Obtaining an air analysis detection coefficient KQo of the industrial park, wherein b1, b2 and b3 are proportional coefficients, b1 is more than b2 is more than b3 is more than 0, and e is a natural constant;
step SS 5: comparing the air analysis detection coefficient KQo of the industrial park to an air analysis detection coefficient threshold:
if the air analysis detection coefficient KQo of the industrial park is larger than or equal to the air analysis detection coefficient threshold value, judging that the air detection of the industrial park is unqualified, generating an unqualified air signal and sending the unqualified air signal to a mobile phone terminal of a monitoring person;
and if the air analysis detection coefficient KQo of the industrial park is less than the air analysis detection coefficient threshold value, judging that the air detection of the industrial park is qualified, generating an air qualified signal and sending the air qualified signal to a mobile phone terminal of a manager.
Further, the intermediary collection unit is used for collecting information of rented houses around the industrial park, and then screening the rented houses around the industrial park, wherein the information of the rented houses comprises distance data and age limit data, the distance data is the walking distance from the rented houses to the industrial park, and the age limit data is the length of the year of renting the rented houses, and the specific collection and screening process comprises the following steps:
step T1: acquiring rental houses around an industrial park, marking the rental houses as p, wherein p is 1, 2, … …, k and k are positive integers, acquiring walking distance from the rental houses to the industrial park, and marking the walking distance from the rental houses to the industrial park as BXp;
step T2: acquiring the time limit duration of renting the rented houses, and marking the time limit duration of renting the rented houses as SCp;
step T3: by the formula
Acquiring a screening coefficient CJp of the rented houses, wherein s1 and s2 are both proportional coefficients, and s1 is more than s2 is more than 0;
step T4: comparing the rental housing screening factor CJp to the rental housing screening factor threshold:
if the screening coefficient CJp of the rented houses is larger than or equal to the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are unqualified, marking the corresponding rented houses as excluded houses, and then sending the excluded houses to the information processing platform;
if the screening coefficient CJp of the rented houses is smaller than the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are qualified, marking the corresponding rented houses as pre-selected houses, and then sending the pre-selected houses to the information processing platform;
step T5: after the information processing platform receives the preselected house, the staff rented the house in the industrial park are obtained through statistics of management staff, and then the position of the preselected house is sent to the mobile phone terminal of the staff rented the house.
Further, the equipment monitoring unit is used for analyzing the operation data of the elevator equipment in each area in the industrial park, so as to monitor the elevator equipment in each area, the operation data of the elevator equipment comprises noise data, speed data and reaction data, the noise data is a noise decibel value generated in the operation process of the elevator equipment in each area, the speed data is the operation speed of the elevator equipment in each area, and the reaction data is the buffer interval duration of the elevator equipment in each area in the operation process, and the specific analysis and monitoring process is as follows:
step TT 1: acquiring noise decibel values generated in the running process of the elevator equipment in each area, and marking the noise decibel values generated in the running process of the elevator equipment in each area as Fo;
step TT 2: acquiring the running speed of the elevator equipment in each area, and marking the running speed of the elevator equipment in each area as Vo;
step TT 3: obtaining the buffer interval duration when the elevator equipment in each area operates, and marking the buffer interval duration when the elevator equipment in each area operates as So;
step TT 4: by the formula
Obtaining monitoring coefficients Xo of elevator equipment in each region, wherein c1, c2 and c3 are proportional coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and alpha is an error correction factor and is 2.02152;
step TT 5: comparing the monitoring coefficient Xo of the elevator equipment in each area with the threshold value of the monitoring coefficient of the elevator equipment:
if the monitoring coefficient Xo of the elevator equipment in each area is larger than or equal to the monitoring coefficient threshold of the elevator equipment, judging that the elevator equipment in the corresponding area is abnormal, generating an abnormal signal of the elevator equipment, and sending the abnormal signal of the elevator equipment and the corresponding area to a mobile phone terminal of a manager;
and if the monitoring coefficient Xo of the elevator equipment in each area is less than the threshold value of the monitoring coefficient of the elevator equipment, judging that the elevator equipment in the corresponding area is normal, generating a normal signal of the elevator equipment, and sending the normal signal of the elevator equipment and the corresponding area to a mobile phone terminal of a manager.
Further, the registration login unit is used for the manager and the monitoring personnel to submit the manager information and the monitoring personnel information through the mobile phone terminals for registration, and the manager information and the monitoring personnel information which are successfully registered are sent to the database for registration, the manager information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the manager, and the monitoring personnel information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the monitoring personnel.
An information processing method based on cloud computing comprises the following specific steps:
step one, registering and logging, wherein a manager and a monitoring person register through a registering and logging unit;
step two, sewage monitoring, namely analyzing sewage information of factories in the industrial park through a sewage monitoring unit, then sending a discharge unqualified signal or a discharge qualified signal to an information processing platform, and sending a sewage discharge modification signal to a mobile phone terminal of a monitoring person by the information processing platform;
step three, air detection, namely analyzing air information of the industrial park through an air detection unit, and sending an unqualified air signal to a mobile phone terminal of a monitoring person;
step four, medium collection, namely collecting the information of rented houses around the industrial park through a medium collection unit, and then screening the rented houses around the industrial park;
and fifthly, monitoring equipment, analyzing the operation data of the elevator equipment in each area in the industrial park of the equipment monitoring unit, and monitoring the elevator equipment in each area.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, sewage information of factories in an industrial park is analyzed through a sewage monitoring unit, so that each factory is monitored to obtain the sewage information of the factories in the industrial park, a sewage analysis monitoring coefficient WSi of the factories in the industrial park is obtained through a formula, if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is more than or equal to a sewage analysis monitoring coefficient threshold value, a corresponding factory is judged to discharge unqualified sewage, a discharge unqualified signal is generated and sent to an information processing platform, and after the information processing platform receives the discharge unqualified signal, a sewage discharge rectification signal is generated and a sewage discharge rectification signal and a corresponding factory are sent to a mobile phone terminal of a monitoring person; the sewage discharged by factories in the park is detected, unqualified factories are reformed, the information processing efficiency is improved, and the pollution of waste water to the environment is reduced;
2. according to the method, the rented house information around the industrial park is collected through an intermediary collection unit, then the rented houses around the industrial park are screened, the screening coefficient CJp of the rented houses is obtained through a formula according to the obtained rented house information, if the screening coefficient CJp of the rented houses is larger than or equal to the screening coefficient threshold of the rented houses, the corresponding rented houses are judged to be unqualified, the corresponding rented houses are marked as excluded houses, and then the excluded houses are sent to an information processing platform; if the screening coefficient CJp of the rented houses is smaller than the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are qualified, marking the corresponding rented houses as pre-selected houses, and then sending the pre-selected houses to the information processing platform; after receiving the preselected house, the information processing platform obtains the house renting staff in the industrial park through statistics of management staff, and then sends the position of the preselected house to the mobile phone terminal of the house renting staff; the house renting information is shared by the workers in the park, and convenience is brought to the workers for house renting.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an information processing system based on cloud computing includes an equipment monitoring unit, a sewage monitoring unit, an air detection unit, an intermediary acquisition unit, an information processing platform, a registration unit and a database;
the registration login unit is used for submitting management personnel information and monitoring personnel information to register through mobile phone terminals by management personnel and monitoring personnel, and sending the management personnel information and the monitoring personnel information which are successfully registered to the database for registration, wherein the management personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the person, and the monitoring personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the person;
the sewage monitoring unit is used for carrying out the analysis to the sewage information of producer in the industry garden, thereby monitor each producer, the sewage information of producer in the industry garden includes the pH valve data, discharge capacity data and suspended solid data, the pH valve data is the numerical value of PH in the sewage that the producer discharged, discharge capacity data is the daily average discharge capacity that the producer discharged sewage, suspended solid data is the content of suspended solid in the sewage that the producer discharged, with the producer mark in the industry garden i, i is 1, 2, … …, n, n is positive integer, concrete analysis monitoring process is as follows:
step S1: acquiring a PH value in sewage discharged by a manufacturer through sampling detection, and marking the PH value in the sewage discharged by the manufacturer as PHI;
step S2: acquiring the daily average discharge capacity of sewage discharged by a manufacturer, and marking the daily average discharge capacity of the sewage discharged by the manufacturer as PLi;
step S3: obtaining the content of suspended matters in the sewage discharged by a manufacturer through sample extraction and sample detection, and marking the content of the suspended matters in the sewage discharged by the manufacturer as HLi;
step S4: by the formula
Acquiring a sewage analysis monitoring coefficient WSi of a factory in an industrial park, wherein a1, a2 and a3 are proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and is 2.0312451;
step S5: comparing a sewage analysis monitoring coefficient WSi of a factory in the industrial park with a sewage analysis monitoring coefficient threshold value:
if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is more than or equal to the sewage analysis monitoring coefficient threshold value, judging that the corresponding factories discharge sewage ineligibly, generating an unqualified discharge signal and sending the unqualified discharge signal to the information processing platform, and after receiving the unqualified discharge signal, the information processing platform generates a sewage discharge modification signal and sends the sewage discharge modification signal and the corresponding factories to the mobile phone terminals of monitoring personnel;
if the sewage analysis monitoring coefficient WSi of a manufacturer in the industrial park is smaller than the sewage analysis monitoring coefficient threshold value, judging that the corresponding manufacturer discharges qualified sewage, generating a discharge qualified signal and sending the discharge qualified signal to the information processing platform, and after receiving the discharge qualified signal, the information processing platform generates a sewage discharge normal signal and sends the sewage discharge normal signal and the corresponding manufacturer to a mobile phone terminal of a manager;
the empty gas detection surveys the unit and is used for carrying out the analysis to the empty gas information of industry garden to carrying out the air quality to the industry garden and detecting, the empty gas information of industry garden includes humidity data, dust data and number of people data, and humidity data is the average humidity of the air all the day in the industry garden, and dust data is the dust content in the air in the industry garden, and number of people data is the total number of walking around all the day of the peripheral road in industry garden, and concrete analysis testing process is as follows:
step SS 1: dividing the industrial park into a plurality of equal-area areas, marking the areas as o, o is 1, 2, … …, m, m is a positive integer, measuring and averaging through a sensor to obtain the average humidity of all the air in each area in the industrial park all day, and marking the average humidity of all the air in each area in the industrial park as SDo;
step SS 2: acquiring the dust content in the air in the industrial park, and marking the dust content in the air in the industrial park as HCo;
step SS 3: acquiring the total number of people walking all day around the road around the industrial park, and marking the total number of people walking all day around the road around the industrial park as RSo;
step SS 4: by the formula
Obtaining an air analysis detection coefficient KQo of the industrial park, wherein b1, b2 and b3 are proportional coefficients, b1 is more than b2 is more than b3 is more than 0, and e is a natural constant;
step SS 5: comparing the air analysis detection coefficient KQo of the industrial park to an air analysis detection coefficient threshold:
if the air analysis detection coefficient KQo of the industrial park is larger than or equal to the air analysis detection coefficient threshold value, judging that the air detection of the industrial park is unqualified, generating an unqualified air signal and sending the unqualified air signal to a mobile phone terminal of a monitoring person;
if the air analysis detection coefficient KQo of the industrial park is smaller than the air analysis detection coefficient threshold value, judging that the air detection of the industrial park is qualified, generating an air qualified signal and sending the air qualified signal to a mobile phone terminal of a manager;
the intermediary collection unit is used for collecting the information of rented houses around the industrial park and then screening the rented houses around, the information of the rented houses comprises distance data and age limit data, the distance data is the walking distance from the rented houses to the industrial park, the age limit data is the length of the rented houses, and the specific collection and screening process is as follows:
step T1: acquiring rental houses around an industrial park, marking the rental houses as p, wherein p is 1, 2, … …, k and k are positive integers, acquiring walking distance from the rental houses to the industrial park, and marking the walking distance from the rental houses to the industrial park as BXp;
step T2: acquiring the time limit duration of renting the rented houses, and marking the time limit duration of renting the rented houses as SCp;
step T3: by the formula
Acquiring a screening coefficient CJp of the rented houses, wherein s1 and s2 are both proportional coefficients, and s1 is more than s2 is more than 0;
step T4: comparing the rental housing screening factor CJp to the rental housing screening factor threshold:
if the screening coefficient CJp of the rented houses is larger than or equal to the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are unqualified, marking the corresponding rented houses as excluded houses, and then sending the excluded houses to the information processing platform;
if the screening coefficient CJp of the rented houses is smaller than the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are qualified, marking the corresponding rented houses as pre-selected houses, and then sending the pre-selected houses to the information processing platform;
step T5: after receiving the preselected house, the information processing platform obtains the house renting staff in the industrial park through statistics of management staff, and then sends the position of the preselected house to the mobile phone terminal of the house renting staff;
the equipment monitoring unit is used for analyzing the operation data of the elevator equipment in each area in the industrial park, so that the elevator equipment in each area is monitored, the operation data of the elevator equipment comprises noise data, speed data and reaction data, the noise data is a noise decibel value generated in the operation process of the elevator equipment in each area, the speed data is the speed of the elevator equipment in each area in operation, the reaction data is the buffer interval duration of the elevator equipment in each area in operation, and the specific analysis and monitoring process is as follows:
step TT 1: acquiring noise decibel values generated in the running process of the elevator equipment in each area, and marking the noise decibel values generated in the running process of the elevator equipment in each area as Fo;
step TT 2: acquiring the running speed of the elevator equipment in each area, and marking the running speed of the elevator equipment in each area as Vo;
step TT 3: obtaining the buffer interval duration when the elevator equipment in each area operates, and marking the buffer interval duration when the elevator equipment in each area operates as So;
step TT 4: by the formula
Obtaining monitoring coefficients Xo of elevator equipment in each region, wherein c1, c2 and c3 are proportional coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and alpha is an error correction factor and is 2.02152;
step TT 5: comparing the monitoring coefficient Xo of the elevator equipment in each area with the threshold value of the monitoring coefficient of the elevator equipment:
if the monitoring coefficient Xo of the elevator equipment in each area is larger than or equal to the monitoring coefficient threshold of the elevator equipment, judging that the elevator equipment in the corresponding area is abnormal, generating an abnormal signal of the elevator equipment, and sending the abnormal signal of the elevator equipment and the corresponding area to a mobile phone terminal of a manager;
and if the monitoring coefficient Xo of the elevator equipment in each area is less than the threshold value of the monitoring coefficient of the elevator equipment, judging that the elevator equipment in the corresponding area is normal, generating a normal signal of the elevator equipment, and sending the normal signal of the elevator equipment and the corresponding area to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
a method and a system for processing information based on cloud computing are provided, which comprises the steps of registering, logging in, wherein a manager and a monitoring person register through a registering and logging unit; sewage monitoring, wherein sewage information of factories in an industrial park is analyzed through a sewage monitoring unit, then an unqualified discharge signal or a qualified discharge signal is sent to an information processing platform, and the information processing platform sends a sewage discharge modification signal to a mobile phone terminal of a monitoring worker; air detection, namely analyzing air information of the industrial park through an air detection unit, and sending an unqualified air signal to a mobile phone terminal of a monitoring person; the method comprises the steps of medium acquisition, namely acquiring rented house information around an industrial park through a medium acquisition unit, and screening rented houses around the industrial park; and (4) equipment monitoring, wherein the operation data of the elevator equipment in each area in the industrial park of the equipment monitoring unit is analyzed, so that the elevator equipment in each area is monitored.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. An information processing system based on cloud computing is characterized by comprising an equipment monitoring unit, a sewage monitoring unit, an air detection unit, an intermediary acquisition unit, an information processing platform, a registration unit and a database;
the sewage monitoring unit is used for carrying out the analysis to the sewage information of producer in the industry garden, thereby monitor each producer, the sewage information of producer includes the pH valve data in the industry garden, discharge capacity data and suspended solid data, pH valve data is the numerical value of PH in the sewage that the producer discharged, discharge capacity data is the daily average discharge capacity that the producer discharged sewage, suspended solid data is the content of suspended solid in the sewage that the producer discharged, with the producer mark i in the industry garden, i is 1, 2, … …, n, n is the positive integer, the concrete analysis monitoring process is as follows:
step S1: acquiring a PH value in sewage discharged by a manufacturer through sampling detection, and marking the PH value in the sewage discharged by the manufacturer as PHI;
step S2: acquiring the daily average discharge capacity of sewage discharged by a manufacturer, and marking the daily average discharge capacity of the sewage discharged by the manufacturer as PLi;
step S3: obtaining the content of suspended matters in the sewage discharged by a manufacturer through sample extraction and sample detection, and marking the content of the suspended matters in the sewage discharged by the manufacturer as HLi;
step S4: by the formula
Acquiring a sewage analysis monitoring coefficient WSi of a factory in an industrial park, wherein a1, a2 and a3 are proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and is 2.0312451;
step S5: comparing a sewage analysis monitoring coefficient WSi of a factory in the industrial park with a sewage analysis monitoring coefficient threshold value:
if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is more than or equal to the sewage analysis monitoring coefficient threshold value, judging that the corresponding factories discharge sewage ineligibly, generating an unqualified discharge signal and sending the unqualified discharge signal to the information processing platform, and after receiving the unqualified discharge signal, the information processing platform generates a sewage discharge modification signal and sends the sewage discharge modification signal and the corresponding factories to the mobile phone terminals of monitoring personnel;
if the sewage analysis monitoring coefficient WSi of the factories in the industrial park is smaller than the sewage analysis monitoring coefficient threshold value, judging that the corresponding factories discharge sewage to be qualified, generating a discharge qualified signal and sending the discharge qualified signal to the information processing platform, and after the information processing platform receives the discharge qualified signal, generating a sewage discharge normal signal and sending the sewage discharge normal signal and the corresponding factories to the mobile phone terminal of the manager.
2. The information processing system based on cloud computing as claimed in claim 1, wherein the air detection unit is configured to analyze air information of the industrial park, so as to perform air quality detection on the industrial park, the air information of the industrial park includes humidity data, dust data, and people number data, the humidity data is an average humidity of air in the industrial park all day long, the dust data is a dust content in the air in the industrial park, the people number data is a total number of people walking around roads around the industrial park all day long, and the specific analysis and detection processes are as follows:
step SS 1: dividing the industrial park into a plurality of equal-area areas, marking the areas as o, o is 1, 2, … …, m, m is a positive integer, measuring and averaging through a sensor to obtain the average humidity of all the air in each area in the industrial park all day, and marking the average humidity of all the air in each area in the industrial park as SDo;
step SS 2: acquiring the dust content in the air in the industrial park, and marking the dust content in the air in the industrial park as HCo;
step SS 3: acquiring the total number of people walking all day around the road around the industrial park, and marking the total number of people walking all day around the road around the industrial park as RSo;
step SS 4: by the formula
Obtaining an air analysis detection coefficient KQo of the industrial park, wherein b1, b2 and b3 are proportional coefficients, b1 is more than b2 is more than b3 is more than 0, and e is a natural constant;
step SS 5: comparing the air analysis detection coefficient KQo of the industrial park to an air analysis detection coefficient threshold:
if the air analysis detection coefficient KQo of the industrial park is larger than or equal to the air analysis detection coefficient threshold value, judging that the air detection of the industrial park is unqualified, generating an unqualified air signal and sending the unqualified air signal to a mobile phone terminal of a monitoring person;
and if the air analysis detection coefficient KQo of the industrial park is less than the air analysis detection coefficient threshold value, judging that the air detection of the industrial park is qualified, generating an air qualified signal and sending the air qualified signal to a mobile phone terminal of a manager.
3. The information processing system based on cloud computing according to claim 1, wherein the broker collection unit is configured to collect rental housing information around the industrial park, and then screen the rental housings around the industrial park, the rental housing information includes distance data and age data, the distance data is a walking distance from a rental housing to the industrial park, and the age data is an age duration for renting the rental housing, and the specific collection and screening processes are as follows:
step T1: acquiring rental houses around an industrial park, marking the rental houses as p, wherein p is 1, 2, … …, k and k are positive integers, acquiring walking distance from the rental houses to the industrial park, and marking the walking distance from the rental houses to the industrial park as BXp;
step T2: acquiring the time limit duration of renting the rented houses, and marking the time limit duration of renting the rented houses as SCp;
step T3: by the formula
Acquiring a screening coefficient CJp of the rented houses, wherein s1 and s2 are both proportional coefficients, and s1 is more than s2 is more than 0;
step T4: comparing the rental housing screening factor CJp to the rental housing screening factor threshold:
if the screening coefficient CJp of the rented houses is larger than or equal to the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are unqualified, marking the corresponding rented houses as excluded houses, and then sending the excluded houses to the information processing platform;
if the screening coefficient CJp of the rented houses is smaller than the screening coefficient threshold of the rented houses, judging that the corresponding rented houses are qualified, marking the corresponding rented houses as pre-selected houses, and then sending the pre-selected houses to the information processing platform;
step T5: after the information processing platform receives the preselected house, the staff rented the house in the industrial park are obtained through statistics of management staff, and then the position of the preselected house is sent to the mobile phone terminal of the staff rented the house.
4. The information processing system based on cloud computing according to claim 1, wherein the device monitoring unit is configured to analyze elevator device operation data of each zone in the industrial park, so as to monitor elevator devices of each zone, the elevator device operation data includes noise data, speed data, and reaction data, the noise data is a decibel value of noise generated during operation of the elevator devices in each zone, the speed data is a speed during operation of the elevator devices in each zone, and the reaction data is a buffer interval duration during operation of the elevator devices in each zone, and the specific analysis and monitoring process is as follows:
step TT 1: acquiring noise decibel values generated in the running process of the elevator equipment in each area, and marking the noise decibel values generated in the running process of the elevator equipment in each area as Fo;
step TT 2: acquiring the running speed of the elevator equipment in each area, and marking the running speed of the elevator equipment in each area as Vo;
step TT 3: obtaining the buffer interval duration when the elevator equipment in each area operates, and marking the buffer interval duration when the elevator equipment in each area operates as So;
step TT 4: by the formula
Obtaining monitoring coefficients Xo of elevator equipment in each region, wherein c1, c2 and c3 are proportional coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and alpha is an error correction factor and is 2.02152;
step TT 5: comparing the monitoring coefficient Xo of the elevator equipment in each area with the threshold value of the monitoring coefficient of the elevator equipment:
if the monitoring coefficient Xo of the elevator equipment in each area is larger than or equal to the monitoring coefficient threshold of the elevator equipment, judging that the elevator equipment in the corresponding area is abnormal, generating an abnormal signal of the elevator equipment, and sending the abnormal signal of the elevator equipment and the corresponding area to a mobile phone terminal of a manager;
and if the monitoring coefficient Xo of the elevator equipment in each area is less than the threshold value of the monitoring coefficient of the elevator equipment, judging that the elevator equipment in the corresponding area is normal, generating a normal signal of the elevator equipment, and sending the normal signal of the elevator equipment and the corresponding area to a mobile phone terminal of a manager.
5. The information processing system based on cloud computing according to claim 1, wherein the registration login unit is configured to submit management staff information and monitoring staff information to be registered through a mobile phone terminal by a management staff and a monitoring staff, and send the management staff information and the monitoring staff information that are successfully registered to the database for registration, the management staff information includes a name, an age, an enrollment time of the management staff and a mobile phone number for authenticating the real name of the person, and the monitoring staff information includes a name, an age, an enrollment time of the monitoring staff and a mobile phone number for authenticating the real name of the person.
6. An information processing method based on cloud computing is characterized by comprising the following specific steps:
step one, registering and logging, wherein a manager and a monitoring person register through a registering and logging unit;
step two, sewage monitoring, namely analyzing sewage information of factories in the industrial park through a sewage monitoring unit, then sending a discharge unqualified signal or a discharge qualified signal to an information processing platform, and sending a sewage discharge modification signal to a mobile phone terminal of a monitoring person by the information processing platform;
step three, air detection, namely analyzing air information of the industrial park through an air detection unit, and sending an unqualified air signal to a mobile phone terminal of a monitoring person;
step four, medium collection, namely collecting the information of rented houses around the industrial park through a medium collection unit, and then screening the rented houses around the industrial park;
and fifthly, monitoring equipment, analyzing the operation data of the elevator equipment in each area in the industrial park of the equipment monitoring unit, and monitoring the elevator equipment in each area.
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