CN115115293A - Public transport environment monitoring, analyzing and managing method and system based on big data - Google Patents

Public transport environment monitoring, analyzing and managing method and system based on big data Download PDF

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CN115115293A
CN115115293A CN202211050704.0A CN202211050704A CN115115293A CN 115115293 A CN115115293 A CN 115115293A CN 202211050704 A CN202211050704 A CN 202211050704A CN 115115293 A CN115115293 A CN 115115293A
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徐又敬
徐友德
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Anhui Yitian Technology Co ltd
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Abstract

The invention belongs to the technical field of public transport environment monitoring and analysis, and particularly discloses a public transport environment monitoring and analysis management method and system based on big data, by carrying out overall disinfection analysis, local disinfection analysis and local purification analysis on the interior of the target subway, and the chlorine dioxide gasification disinfection equipment and the air purification equipment are used for disinfection and purification, thereby effectively solving the problems of too large cages and conventionality of the current subway air quality monitoring and management mode, avoiding the defects of the current monitoring and management mode, greatly improving the disinfection and purification efficiency and the disinfection and purification effect in the subway carriage, and through monitoring and management of multidimension degree, guaranteed pertinence, flexibility and the reliability of subway carriage disinfection purification monitoring and management, improved the value nature of the inside disinfection purification operation of subway carriage, still effectual guarantee passenger's healthy simultaneously.

Description

Public transport environment monitoring, analyzing and managing method and system based on big data
Technical Field
The invention belongs to the technical field of public transport environment monitoring and analysis, and relates to a public transport environment monitoring and analysis management method and system based on big data.
Background
The subway becomes an important transportation tool for daily travel activities of people due to the characteristics of rapidness, convenience, safety and the like, however, because the space of a subway station is relatively closed, air is isolated from the atmosphere and basically in a static and non-circulating state, the air quality is relatively poor, and certain hidden dangers are formed to the health of passengers, so that the air quality monitoring and management of the passenger environment in the subway are particularly necessary.
At present, the air quality monitoring for the passenger environment in the subway mainly stays in the conventional monitoring mode, if the conventional control quality parameters such as temperature, humidity and the like in the carriage are monitored, the management of the air quality purification level also belongs to the management of a cage system, and the method is specifically embodied in the following aspects: 1. compared with the ground public transportation, the subway has stronger closure, the current conventional monitoring mode has weak adaptability to the subway environment, the monitoring effect is poor, the air purification in the subway mainly passes through a fresh air system, only the ventilation volume is considered when the air purification is carried out currently, and the information such as the purification mode is not analyzed, so that the purification effect cannot reach the expectation, and the pertinence and the flexibility are lacked.
2. When disinfecting the analysis to the subway at present, do not carry out the analysis to the analysis according to its operation stage of locating, acquiesce promptly and disinfect the analysis when the operation, and the subway need carry out whole disinfection at non-operation stage, do not have the characteristic that combines the subway at present to carry out whole disinfection analysis, can't provide reasonable, reliable suggestion for the whole disinfection of subway to can't ensure the sterile coverage rate of subway, also can't ensure subway disinfection effect.
3. Disinfection mainly disinfects through artificial disinfection's mode in the current subway, and work load is comparatively heavy, and disinfection efficiency is not high, and can't ensure sterile thoroughness, has still increased subway disinfection administrative cost.
4. Air quality purifies and the disinfection is fixed mode in the current subway, fixed purification mode and fixed disinfection time quantum promptly, can't carry out intelligent purification and intelligent disinfection according to air quality state in the subway, lead to air purification and disinfection flexibility not strong, has influenced the disinfection purifying effect in the subway carriage to a great extent for subway carriage disinfection purifies the operation value nature not high, has still caused certain hidden danger to passenger's health simultaneously.
Disclosure of Invention
In view of the above, to solve the problems in the background art, a method and a system for monitoring, analyzing and managing a public transportation environment based on big data are provided.
The purpose of the invention can be realized by the following technical scheme: the invention provides a public transport environment monitoring, analyzing and managing method based on big data, which comprises the following steps: step 1, subway information acquisition and equipment layout: the method comprises the steps of obtaining the corresponding position of each carriage of a target subway, arranging a plurality of environment detection devices, a plurality of passenger monitoring devices, chlorine dioxide gasification disinfection devices, air purification devices and voice prompt devices in each carriage, obtaining the position of each access station corresponding to the target subway, dividing the operation road sections of the target subway, and arranging the environment detection devices in the corresponding operation tunnels of each operation road section.
Step 2, integral disinfection detection and analysis: when the target subway is in a non-operation stage, internal environment information is detected through environment detection equipment arranged in each carriage, and overall disinfection analysis is carried out.
Step 3, integral disinfection and purification execution analysis: and confirming the whole disinfection information according to the whole disinfection analysis result, and starting chlorine dioxide gasification disinfection equipment distributed in each carriage to correspondingly disinfect.
Step 4, local disinfection detection and analysis: when the target subway is in an operation stage, current internal environment information is detected through environment detection equipment arranged in each carriage, local disinfection analysis is carried out, an evaluation index of the environment disinfection requirement of each carriage of the target subway in a local disinfection mode is obtained, and accordingly the number of each carriage needing local disinfection is confirmed.
Step 5, local disinfection auxiliary analysis: and starting passenger monitoring equipment arranged in each compartment to collect the number of the current passengers, performing passenger guiding analysis, and further starting voice prompt equipment arranged in each compartment needing local disinfection to guide the passengers.
Step 6, local purification detection and analysis: when the target subway is in the operation stage, extracting the position corresponding to the current target subway, further matching to obtain the operation road section where the current target subway is located, detecting the current tunnel environment information through the environment monitoring equipment in the operation tunnel corresponding to the operation road section where the target subway is located, and simultaneously extracting the current internal environment information in each carriage, thereby carrying out local purification analysis.
And 7, local disinfection and purification execution analysis: and according to the results of the local disinfection analysis and the local purification analysis, the local disinfection information and the local purification information of the carriage are confirmed, and corresponding chlorine dioxide gasification disinfection equipment and air purification equipment in the carriage are started to correspondingly disinfect and purify.
Preferably, the internal environmental information includes temperature, humidity, ventilation volume, wind direction, wind speed, dust concentration, respirable particle concentration, formaldehyde concentration, toluene concentration, air flow rate,
Figure 383322DEST_PATH_IMAGE001
concentration, ammonia concentration, and bacteria content.
Preferably, the overall disinfection analysis is performed by the following specific analysis processes: and numbering the carriages corresponding to the target subway according to a set sequence, and sequentially marking the carriages as 1, 2.
The bacterial content is located from the environmental information in each carriage in the target subway and recorded as
Figure 975977DEST_PATH_IMAGE002
I is expressed as a number corresponding to each car, i =1, 2
Figure 73377DEST_PATH_IMAGE003
Analyzing and obtaining the evaluation index of the environment disinfection requirement of each carriage of the target subway in the integral disinfection mode
Figure 344959DEST_PATH_IMAGE004
And e represents a natural number,
Figure 923357DEST_PATH_IMAGE005
the method is a set threshold value of allowable bacteria content in the carriage.
Preferably, the overall disinfection information is confirmed by the following specific confirmation process: and matching and comparing the environment disinfection requirement evaluation index of each carriage of the target subway in the integral disinfection mode with the standard carriage disinfection requirement evaluation index in the set integral disinfection mode, if the environment disinfection requirement evaluation index of a certain carriage is greater than or equal to the standard carriage disinfection requirement evaluation index, judging that the carriage is a key disinfection carriage, otherwise, judging that the carriage is a common carriage, and extracting the number corresponding to each key carriage and the number corresponding to each common carriage.
Extracting ventilation volume, wind speed and bacteria content from corresponding internal environment information in each key compartment, and recording the ventilation volume, the wind speed and the bacteria content as
Figure 167257DEST_PATH_IMAGE006
And
Figure 169979DEST_PATH_IMAGE007
j represents the number corresponding to each key compartment, j =1, 2
Figure 132119DEST_PATH_IMAGE008
Analyzing to obtain the corresponding spreading range of each key compartment
Figure 511279DEST_PATH_IMAGE009
Figure 609685DEST_PATH_IMAGE010
Respectively set spreading weight factors corresponding to the bacteria content, the ventilation volume and the wind speed,
Figure 48887DEST_PATH_IMAGE011
Figure 170427DEST_PATH_IMAGE012
and
Figure 336966DEST_PATH_IMAGE013
respectively representing the ventilation quantity, the wind speed and the bacteria content corresponding to the preset unit spreading range.
Extracting wind directions from the corresponding internal environment information in each key compartment, obtaining each overspread compartment corresponding to each key compartment based on the wind directions corresponding to each key compartment and the overspread range corresponding to each key compartment, obtaining the positions of each key compartment and each overspread compartment, setting the overspread degree weight factor, marking each overspread compartment corresponding to each key compartment as an interference compartment, and extracting the number corresponding to each interference compartment.
And positioning the disinfection spraying speed, the disinfection duration and the disinfection solvent concentration corresponding to each key carriage from the subway information base according to the bacterial content corresponding to each key carriage.
And extracting the bacterial content and the spreading degree weight factor corresponding to each interference carriage according to the number corresponding to each interference carriage, and calculating to obtain the predicted bacterial content corresponding to each interference carriage through a calculation formula, so that the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration corresponding to each interference carriage are positioned and given from a subway information base.
And according to the number corresponding to each common carriage and the number corresponding to each interference carriage, removing each interference carriage from each common carriage, marking the remaining common carriages after removal as safe carriages, and extracting the bacterial content corresponding to each safe carriage, so as to position and give the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration corresponding to each safe carriage from a subway information base.
And integrating the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration of each key carriage, each interference carriage and the corresponding safety carriage, and taking the integrated disinfection information as the overall disinfection information of the target subway.
Preferably, the performing passenger guidance analysis includes: the method comprises the steps of firstly, obtaining the number of passengers currently corresponding to each compartment, and calculating the remaining accommodation amount corresponding to each compartment through a calculation formula.
And secondly, extracting the number of passengers corresponding to each compartment needing local disinfection according to the serial number of each compartment needing local disinfection, judging that the compartment needing local disinfection does not need to be guided if no passenger exists in a certain compartment needing local disinfection, and otherwise, executing a third step.
And thirdly, removing all carriages needing local disinfection from all carriages, recording the rest carriages after removal as all transloadable carriages, and extracting the corresponding numbers of all transloadable carriages so as to obtain the corresponding positions of all transloadable carriages.
Fourthly, obtaining the corresponding position of each carriage needing local disinfection, generating each transshipment path corresponding to each carriage needing local disinfection, extracting the length corresponding to each transshipment path in each carriage needing local disinfection, the number of carriages needing disinfection in the path and the number of passengers currently corresponding to each path in each carriage needing disinfection, and recording the lengths, the number of carriages needing disinfection in the path and the number of passengers currently corresponding to each path in each carriage needing disinfection respectively
Figure 303261DEST_PATH_IMAGE014
And
Figure 162632DEST_PATH_IMAGE015
r represents a number corresponding to each carriage requiring local disinfection, r =1, 2, a.
The fifth step of passing an analysis formula
Figure 912414DEST_PATH_IMAGE016
Analyzing to obtain the optimal indexes corresponding to the transfer paths in each carriage needing local disinfection
Figure 898955DEST_PATH_IMAGE017
Figure 971954DEST_PATH_IMAGE018
Respectively expressed as weight factors corresponding to the set transfer path length, the number of the sterilizing carriages needed by the path and the number of the transfer personnel,
Figure 752959DEST_PATH_IMAGE019
respectively expressed as the set reference transfer path length, the number of the disinfection compartments required for the reference route and the number of the reference transfer personnel.
And sixthly, sorting the optimal indexes corresponding to the transfer paths in each compartment needing local disinfection according to the descending order, and taking the transfer path with the first rank as the target transfer path of each compartment needing local disinfection, thereby generating voice prompt information of each compartment needing local disinfection.
Preferably, the local cleansing analysis is performed by the following specific analysis processes: extracting temperature, humidity and ventilation quantity from the current internal environment information in each carriage to be used as somatosensory environment information, analyzing through an analysis formula to obtain a somatosensory environment quality evaluation index of each carriage, and recording the index as the somatosensory environment quality evaluation index
Figure 176987DEST_PATH_IMAGE020
Extracting formaldehyde concentration, toluene concentration and the like from the current internal environment information in each carriage,
Figure 427272DEST_PATH_IMAGE021
The concentration and the ammonia gas concentration are used as gas environment information, and further the gas environment quality evaluation index in each compartment is obtained through analysis of an analysis formula and recorded as
Figure 620356DEST_PATH_IMAGE022
Extracting dust concentration and inhalable particle concentration from the current internal environment information in each carriage to be used as respiratory environment information, further analyzing by an analysis formula to obtain respiratory environment quality evaluation indexes of each carriage, and recording as the respiratory environment quality evaluation indexes
Figure 369000DEST_PATH_IMAGE023
According to the quality evaluation indexes corresponding to the somatosensory environment, the gas environment and the respiratory environment of each carriage, analyzing the indexes by an analysis formula
Figure 31057DEST_PATH_IMAGE024
Analyzing to obtain the comprehensive environment quality evaluation index of each carriage of the target subway
Figure 546352DEST_PATH_IMAGE025
Figure 938150DEST_PATH_IMAGE026
The weight factors are expressed respectively for the set vehicle cabin body feeling environment, gas environment, and breathing environment.
Preferably, the local disinfection information of the carriage is confirmed, and the specific confirmation process is as follows: and positioning the environment disinfection requirement evaluation index corresponding to each compartment needing local disinfection from the environment disinfection requirement evaluation indexes of each compartment of the target subway in the local disinfection mode.
And comparing the environment disinfection requirement evaluation index corresponding to each carriage needing local disinfection with the set environment disinfection requirement evaluation index range corresponding to each local disinfection grade to obtain the local disinfection grade corresponding to each carriage needing local disinfection, thereby positioning and giving the disinfection spraying rate, the disinfection time length and the disinfection solvent concentration corresponding to each carriage needing local disinfection from the subway information base, and taking the serial number, the disinfection spraying rate, the disinfection time length and the disinfection solvent concentration corresponding to each carriage needing local disinfection as local disinfection information.
Preferably, the local cabin cleaning information confirmation is performed by the following specific confirmation process: and acquiring environment information in a corresponding associated tunnel in the current operation road section of the target subway, and further analyzing to obtain an external environment quality evaluation index of the target subway.
And comparing the comprehensive environment quality evaluation index of each compartment of the target subway with a set standard subway compartment environment quality evaluation index, and if the comprehensive environment quality evaluation index of a certain compartment of the target subway is smaller than the standard subway compartment environment quality evaluation index, judging that the compartment is an environment purification compartment, thereby extracting the number corresponding to each environment purification compartment.
And based on the comprehensive environment quality evaluation index corresponding to each environment purification carriage of the target subway, positioning the purification grade corresponding to each environment purification carriage from the subway information base.
And comparing the comprehensive environment quality evaluation index corresponding to each environment purification carriage of the target subway with the external environment quality evaluation index of the target subway, if the comprehensive environment quality evaluation index corresponding to a certain environment purification carriage of the target subway is smaller than the external environment quality evaluation index of the target subway, judging that the environment purification carriage of the target subway is in an external circulation purification mode, otherwise, judging that the environment purification carriage of the target subway is in an internal circulation purification mode, and thus obtaining the purification mode corresponding to each environment purification carriage.
The number, the purification grade and the purification mode of each environment purification compartment are used as compartment local purification information.
Preferably, the specific analysis process of the target subway external environment quality evaluation index is as follows: positioning the dust concentration from the corresponding associated tunnel environment information in the current operation section of the target subway,
Figure 120345DEST_PATH_IMAGE027
Concentration, concentration of inhalable particles, concentration of formaldehyde, concentration of toluene, and are each recorded as
Figure 941802DEST_PATH_IMAGE028
By analytical formulae
Figure 73837DEST_PATH_IMAGE029
Analyzing to obtain the meshExternal environment quality evaluation index of standard subway
Figure 444776DEST_PATH_IMAGE030
Figure 741414DEST_PATH_IMAGE031
Respectively the set external dust concentration, the inhalable particle concentration,
Figure 96172DEST_PATH_IMAGE032
The concentration, the concentration of formaldehyde and the concentration of toluene,
Figure 94215DEST_PATH_IMAGE033
respectively the set dust concentration, inhalable particle concentration and the set dust concentration allowed outside the subway,
Figure 867130DEST_PATH_IMAGE034
Threshold values for concentration, formaldehyde concentration, toluene concentration.
The invention provides a public transport environment monitoring, analyzing and managing system based on big data, which comprises: and the subway information acquisition and equipment layout module is used for acquiring the corresponding positions of all carriages of the target subway, performing equipment layout in all carriages, acquiring the corresponding positions of all access stations of the target subway, dividing the running road sections of the target subway and further performing equipment layout in the running tunnels of all the running road sections.
And the whole disinfection detection and analysis module is used for detecting internal environment information through environment detection equipment in the equipment arranged in each carriage when the target subway is in a non-operation stage, and further carrying out whole disinfection analysis.
And the integral disinfection execution confirmation terminal is used for confirming integral disinfection of the carriages and starting chlorine dioxide gasification disinfection equipment in the equipment arranged in each carriage to correspondingly disinfect.
And the local disinfection detection and analysis module is used for detecting the current internal environment information through the environment detection equipment arranged in each carriage when the target subway is in the operation stage, and performing local disinfection analysis so as to confirm the number of each carriage needing local disinfection.
And the local disinfection auxiliary analysis module is used for starting the passenger monitoring equipment arranged in each carriage to collect the number of the current passengers, conducting passenger guide analysis and further starting the voice prompt equipment in the carriage to conduct passenger guide.
And the local purification detection analysis module is used for extracting the position corresponding to the current target subway when the target subway is in the operation stage, further obtaining the operation road section where the current target subway is located by matching, detecting the current tunnel environment information through the environment monitoring equipment in the equipment arranged in the operation tunnel corresponding to the operation road section where the target subway is located, and simultaneously extracting the current internal environment information in each carriage, thereby carrying out local purification analysis.
And the local disinfection and purification execution confirmation terminal is used for confirming the local disinfection information and the local purification information of the carriage according to the results of the local disinfection information and the local purification information, and starting corresponding chlorine dioxide gasification disinfection equipment and air purification equipment in the carriage to carry out corresponding disinfection and purification.
And the subway information base is used for storing the disinfection spraying rate, the disinfection time and the disinfection solvent concentration corresponding to each bacteria content, storing the disinfection spraying rate, the disinfection time and the disinfection solvent concentration corresponding to each local disinfection grade, and storing the environment quality evaluation index range corresponding to each purification grade.
Compared with the prior art, the invention has the following beneficial effects: (1) according to the public transport environment monitoring, analyzing and managing method based on big data, provided by the invention, the whole disinfection analysis, the local disinfection analysis and the local purification analysis are carried out in the target subway, and the disinfection and the purification are carried out through the chlorine dioxide gasification disinfection equipment and the air purification equipment, so that on one hand, the problems that the current subway air quality monitoring and managing mode is too common and conventional are effectively solved, the defects of the current monitoring and managing mode are avoided, and the disinfection and purification efficiency and the disinfection and purification effect in a subway carriage are greatly improved; on one hand, through multi-dimensional monitoring and management, pertinence, flexibility and reliability of subway carriage disinfection and purification monitoring and management are guaranteed, the value of the disinfection and purification operation in the subway carriage is improved, and meanwhile, the body health of passengers is effectively guaranteed; on the other hand, the emergence of the incomplete condition of disinfection in having avoided artifical disinfection mode has reduced subway staff's work load, has still ensured the disinfection dynamics and the disinfection intensity in the subway carriage, has reduced subway disinfection operation cost to a certain extent.
(2) The invention carries out the analysis step in the integral disinfection and purification mode, deeply analyzes the bacterial content of each carriage by classifying the carriages and analyzing the unit spreading range in the counterweight carriage so as to confirm the integral disinfection information of the target subway, realizes the multi-azimuth analysis of the integral disinfection of the subway, provides a reasonable and reliable decision suggestion for the integral disinfection of the subway, ensures the coverage rate of the integral disinfection of the subway and improves the integral disinfection effect of the subway.
(3) According to the method, local purification information is confirmed, the internal environment quality condition of each carriage of the subway is analyzed, and the internal environment quality condition of each carriage of the subway is compared with the external environment condition of each carriage of the subway, so that the purification mode and the purification grade are confirmed, the defects in the current blind purification mode and the current general purification mode are overcome, and the local purification effect of the subway is guaranteed to the greatest extent.
(4) According to the invention, through passenger guiding and analyzing, the smoothness and timeliness of the development of the disinfection work inside the subway carriage are ensured, powerful guarantee is provided for the operation of the subway, the management efficiency of subway passengers is improved, and the operation order in the subway disinfection process is maintained.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the steps of the method of the present invention.
FIG. 2 is a schematic diagram showing the connection of the modules of the system of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, the present invention provides a public transportation environment monitoring, analyzing and managing method based on big data, which includes the following steps: step 1, subway information acquisition and equipment layout: the method comprises the steps of obtaining the corresponding position of each carriage of a target subway, arranging a plurality of environment detection devices, a plurality of passenger monitoring devices, chlorine dioxide gasification disinfection devices, air purification devices and voice prompt devices in each carriage, obtaining the position of each access station corresponding to the target subway, dividing the operation road sections of the target subway, and arranging the environment detection devices in the corresponding operation tunnels of each operation road section.
Step 2, integral disinfection detection and analysis: when the target subway is in a non-operation stage, internal environment information is detected through environment detection equipment arranged in each carriage, and overall disinfection analysis is carried out.
Specifically, the internal environmental information includes temperature, humidity, ventilation amount, wind direction, wind speed, dust concentration, respirable particle concentration, formaldehyde concentration, toluene concentration, air flow rate, and air flow rate,
Figure 581009DEST_PATH_IMAGE035
Concentration, ammonia concentration, and bacteria content.
Further, carrying out overall disinfection analysis, wherein the specific analysis process comprises the following steps: and numbering the carriages corresponding to the target subway according to a set sequence, and sequentially marking the carriages as 1, 2.
The bacterial content is located from the environmental information in each carriage in the target subway and recorded as
Figure 439374DEST_PATH_IMAGE036
I denotes the number corresponding to each car, i =1, 2
Figure 631321DEST_PATH_IMAGE037
Analyzing to obtain the evaluation index of the environmental disinfection requirement of each compartment of the target subway under the integral disinfection mode
Figure 255813DEST_PATH_IMAGE038
And e represents a natural number,
Figure 406172DEST_PATH_IMAGE039
the method is a set threshold value of allowable bacteria content in the carriage.
Step 3, integral disinfection and purification execution analysis: and confirming the whole disinfection information according to the whole disinfection analysis result, and starting chlorine dioxide gasification disinfection equipment distributed in each carriage to correspondingly disinfect.
Specifically, the overall disinfection information is confirmed, and the specific confirmation process is as follows: z1, matching and comparing the evaluation index of the environment disinfection requirement of each carriage of the target subway in the whole disinfection mode with the evaluation index of the disinfection requirement of the standard carriage in the set whole disinfection mode, if the evaluation index of the environment disinfection requirement of a certain carriage is greater than or equal to the evaluation index of the disinfection requirement of the standard carriage, judging that the carriage is a key disinfection carriage, otherwise, judging that the carriage is a common carriage, and extracting the number corresponding to each key carriage and the number corresponding to each common carriage.
Z2, extracting ventilation volume, wind speed and bacteria content from the corresponding internal environment information in each key compartment, and recording the ventilation volume, the wind speed and the bacteria content as
Figure 220675DEST_PATH_IMAGE040
And
Figure 216313DEST_PATH_IMAGE041
j represents the number corresponding to each key compartment, j =1, 2
Figure 619612DEST_PATH_IMAGE042
Analyzing to obtain the corresponding spreading range of each key compartment
Figure 691605DEST_PATH_IMAGE043
Figure 977093DEST_PATH_IMAGE044
Respectively set spreading weight factors corresponding to the bacteria content, the ventilation volume and the wind speed,
Figure 589471DEST_PATH_IMAGE045
Figure 175173DEST_PATH_IMAGE046
and
Figure 901556DEST_PATH_IMAGE047
respectively representing the ventilation quantity, the wind speed and the bacteria content corresponding to the preset unit spreading range.
Z3, extracting wind directions from the internal environment information corresponding to each key car, obtaining each creeping car corresponding to each key car based on the wind directions corresponding to each key car and the creeping range corresponding to each key car, obtaining the positions of each key car and each creeping car, setting the creeping degree weight factors, marking each creeping car corresponding to each key car as an interfering car, and extracting the number corresponding to each interfering car.
It should be noted that, the specific setting process for setting the weight factor of the epidemic degree is as follows: comparing the positions of the key carriages with the positions of the spreading carriages to obtain the distance between the positions of the key carriages and the spreading carriages, recording the distance as the spreading distance, and calculating a formula by carrying out a spreading degree weight factor
Figure 205499DEST_PATH_IMAGE048
Calculating to obtain the corresponding spreading degree weight factor of each interference compartment
Figure 559251DEST_PATH_IMAGE049
D represents a number corresponding to each interfering car, d =1, 2..... x,
Figure 265039DEST_PATH_IMAGE050
expressed as the propagation distance corresponding to the d-th interfering car,
Figure 678834DEST_PATH_IMAGE051
the bacteria content in the d-th interference compartment corresponding to the important compartment is shown, and x represents the number of the interference compartments.
And Z4, positioning the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration corresponding to each key carriage from the subway information base according to the bacterial content corresponding to each key carriage.
Z5, extracting the bacterial content and the spreading degree weight factor corresponding to each interference compartment according to the number corresponding to each interference compartment, and calculating the predicted bacterial content corresponding to each interference compartment through a calculation formula, thereby positioning and giving the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration corresponding to each interference compartment from a subway information base, wherein the calculation formula of the predicted bacterial content corresponding to each interference compartment is
Figure 407755DEST_PATH_IMAGE052
Figure 830777DEST_PATH_IMAGE053
Expressed as the predicted bacteria content for the d interfering car,
Figure 391072DEST_PATH_IMAGE054
expressed as bacteria content corresponding to the d-th interfering car.
And Z6, removing the interference carriages from the common carriages according to the numbers corresponding to the common carriages and the numbers corresponding to the interference carriages, marking the remaining common carriages as safe carriages, and extracting the bacterial content corresponding to the safe carriages, so as to position and give the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration corresponding to the safe carriages from a subway information base.
And Z7, integrating the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration of each key carriage, each interference carriage and the corresponding safety carriage, and taking the integrated disinfection information as the overall disinfection information of the target subway.
In a specific embodiment, the disinfection mode of the chlorine dioxide gasification disinfection equipment is omnibearing diffuse disinfection, and the chlorine dioxide gasification disinfection equipment is started to disinfect, so that omnibearing, dead-angle-free, powerful and efficient disinfection in a subway carriage can be realized, aerosol virus transmission can be effectively blocked, no residue exists, and the influence on subsequent passenger riding is small.
The embodiment of the invention executes the analysis step in the integral disinfection and purification mode, deeply analyzes the bacterial content of each carriage by classifying the carriages and analyzing the unit spreading range in the counterweight carriage so as to confirm the integral disinfection information of the target subway, realizes the multi-azimuth analysis of the integral disinfection of the subway, provides a reasonable and reliable decision suggestion for the integral disinfection of the subway, ensures the coverage rate of the integral disinfection of the subway and improves the integral disinfection effect of the subway.
Step 4, local disinfection detection and analysis: when the target subway is in the operation stage, current internal environment information is detected through environment detection equipment arranged in each carriage, local disinfection analysis is carried out, an evaluation index of the environment disinfection requirement of each carriage of the target subway in a local disinfection mode is obtained, and accordingly the number of each carriage needing local disinfection is confirmed.
It should be noted that the expression form of the evaluation index of the disinfection requirement of each compartment environment of the target subway in the local disinfection mode and the expression form of the analysis form of the evaluation index of the disinfection requirement of each compartment environment of the target subway in the overall disinfection mode are similar expression forms, and no further description is provided here.
It should be noted that the specific confirmation process for confirming each compartment number requiring partial sterilization is as follows: the method comprises the steps of comparing an evaluation index of the environment disinfection requirement of each carriage of a target subway under a local disinfection mode with a set evaluation index of the environment disinfection requirement of a standard carriage of the local disinfection mode, and judging that the carriage needs to be locally disinfected if the evaluation index of the environment disinfection requirement of a certain carriage under the local disinfection mode is larger than or equal to the evaluation index of the environment disinfection requirement of the standard carriage of the local disinfection mode, so that the number of each carriage needing to be locally disinfected is obtained.
Step 5, local disinfection auxiliary analysis: and starting passenger monitoring equipment arranged in each compartment to collect the number of the current passengers, performing passenger guiding analysis, and further starting voice prompt equipment arranged in each compartment needing local disinfection to guide the passengers.
In the above, the passenger guidance analysis is performed, and the specific analysis process is as follows: the method comprises the steps of firstly, obtaining the number of passengers corresponding to each compartment at present, and calculating the residual accommodation amount corresponding to each compartment through a calculation formula, wherein the calculation formula of the residual accommodation amount is
Figure 707259DEST_PATH_IMAGE055
And secondly, extracting the number of passengers corresponding to each compartment needing local disinfection according to the serial number of each compartment needing local disinfection, judging that the compartment needing local disinfection does not need to be guided if no passenger exists in the compartment needing local disinfection, and otherwise, executing the third step.
And thirdly, removing carriages needing local disinfection from each carriage, recording the rest carriages after removal as transferable carriages, and extracting the number corresponding to each transferable carriage, thereby obtaining the corresponding position of each transferable carriage.
Fourthly, obtaining the corresponding position of each carriage needing local disinfection, generating each transshipment path corresponding to each carriage needing local disinfection, extracting the length corresponding to each transshipment path in each carriage needing local disinfection, the number of carriages needing disinfection in the path and the number of passengers currently corresponding to each path in each carriage needing disinfection, and recording the lengths, the number of carriages needing disinfection in the path and the number of passengers currently corresponding to each path in each carriage needing disinfection respectively
Figure 64422DEST_PATH_IMAGE056
And
Figure 274824DEST_PATH_IMAGE057
r represents a number corresponding to each carriage requiring local disinfection, r =1, 2, a.
The fifth step of passing an analysis formula
Figure 643619DEST_PATH_IMAGE058
Analyzing to obtain the optimal indexes corresponding to the transfer paths in each carriage needing local disinfection
Figure 727113DEST_PATH_IMAGE059
Figure 105660DEST_PATH_IMAGE060
Respectively expressed as weight factors corresponding to the length of the set transfer path, the number of the carriages needing disinfection by the path and the number of the transfer personnel,
Figure 73747DEST_PATH_IMAGE061
respectively expressed as the set reference transfer path length, the number of the disinfection compartments required for the reference route and the number of the reference transfer personnel.
And sixthly, sorting the optimal indexes corresponding to the transfer paths in each compartment needing local disinfection in a descending order, and taking the transfer path with the first rank as the target transfer path of each compartment needing local disinfection, thereby generating voice prompt information of each compartment needing local disinfection.
According to the embodiment of the invention, through passenger guiding and analyzing, the smoothness and timeliness of the development of the disinfection work inside the subway carriage are ensured, powerful guarantee is provided for the operation of the subway, the management efficiency of subway passengers is improved, and the operation order in the subway disinfection process is maintained.
Step 6, local purification detection and analysis: when the target subway is in the operation stage, extracting the position corresponding to the current target subway, further matching to obtain the operation road section where the current target subway is located, detecting the current tunnel environment information through the environment monitoring equipment in the operation tunnel corresponding to the operation road section where the target subway is located, and simultaneously extracting the current internal environment information in each carriage, thereby carrying out local purification analysis.
In the above, the local cleaning analysis is performed, and the specific analysis process is as follows: j1, extracting temperature, humidity and ventilation quantity from the current internal environment information in each carriage to be used as somatosensory environment information, further analyzing by an analysis formula to obtain a somatosensory environment quality evaluation index of each carriage, and recording the evaluation index as the somatosensory environment quality evaluation index
Figure 687262DEST_PATH_IMAGE062
Wherein, in the step (A),
Figure 331870DEST_PATH_IMAGE063
Figure 70150DEST_PATH_IMAGE064
respectively representing the temperature, the humidity and the ventilation volume corresponding to the ith carriage in the target subway,
Figure 622355DEST_PATH_IMAGE065
respectively representing the set reference temperature, reference humidity and reference ventilation volume inside the subway carriage,
Figure 556288DEST_PATH_IMAGE066
respectively setting the allowable temperature difference, allowable humidity difference and allowable ventilation quantity difference inside the subway,
Figure 653688DEST_PATH_IMAGE067
respectively is the environmental purification proportion weight corresponding to the set temperature, humidity and ventilation volume.
J2, extracting formaldehyde concentration, toluene concentration, and the like from the current internal environment information in each compartment,
Figure 862953DEST_PATH_IMAGE068
The concentration and the ammonia gas concentration are used as gas environment information, and further the gas environment quality evaluation index in each compartment is obtained through analysis of an analysis formula and recorded as
Figure 969580DEST_PATH_IMAGE069
Wherein, in the step (A),
Figure 213479DEST_PATH_IMAGE070
Figure 481781DEST_PATH_IMAGE071
respectively expressed as the corresponding formaldehyde concentration, toluene concentration and the like in the ith carriage in the target subway,
Figure 443921DEST_PATH_IMAGE072
The concentration of the ammonia gas and the concentration of the ammonia gas,
Figure 814291DEST_PATH_IMAGE073
respectively expressed as set reference formaldehyde concentration, reference toluene concentration and reference inside the subway carriage
Figure 912697DEST_PATH_IMAGE074
The concentration of the ammonia gas is referred to as the ammonia gas concentration,
Figure 351900DEST_PATH_IMAGE075
respectively expressed as the concentration difference of allowable formaldehyde, the concentration difference of allowable toluene and the allowable of the subway
Figure 535757DEST_PATH_IMAGE076
The concentration difference and the allowable ammonia gas concentration difference,
Figure 453028DEST_PATH_IMAGE077
respectively the set formaldehyde concentration, toluene concentration,
Figure 671520DEST_PATH_IMAGE078
Concentration and ammonia concentration.
J3, extracting dust concentration and inhalable particle concentration from the current internal environment information in each carriage to be used as breathing environment information, further analyzing by an analysis formula to obtain the breathing environment quality evaluation index of each carriage, and recording as the breathing environment quality evaluation index
Figure 78362DEST_PATH_IMAGE079
Wherein, in the step (A),
Figure 749515DEST_PATH_IMAGE080
Figure 670810DEST_PATH_IMAGE081
respectively representing the dust concentration and the inhalable particle concentration corresponding to the ith carriage in the target subway,
Figure 743808DEST_PATH_IMAGE082
respectively representing the set reference dust concentration and the reference inhalable particle concentration inside the subway carriage,
Figure 321551DEST_PATH_IMAGE083
respectively representing the allowable dust concentration difference and the allowable inhalable particle concentration difference inside the set subway,
Figure 683262DEST_PATH_IMAGE084
respectively expressed as the environmental purification proportion weight corresponding to the set dust concentration and the set inhalable particle concentration.
J4, analyzing the quality evaluation indexes corresponding to the body sensing environment, the gas environment and the respiratory environment of each carriage according to an analysis formula
Figure 801391DEST_PATH_IMAGE085
Analyzing to obtain the comprehensive environment quality evaluation index of each carriage of the target subway
Figure 214049DEST_PATH_IMAGE086
Figure 762360DEST_PATH_IMAGE087
The weight factors are expressed respectively for the set vehicle cabin body feeling environment, gas environment, and breathing environment.
And 7, local disinfection and purification execution analysis: and according to the results of the local disinfection analysis and the local purification analysis, the local disinfection information and the local purification information of the carriage are confirmed, and corresponding chlorine dioxide gasification disinfection equipment and air purification equipment in the carriage are started to correspondingly disinfect and purify.
In the above, the local disinfection information of the carriage is confirmed, and the specific confirmation process is as follows: 1) and positioning the environment disinfection requirement evaluation index corresponding to each compartment needing local disinfection from the environment disinfection requirement evaluation indexes of each compartment of the target subway in the local disinfection mode.
2) And comparing the environment disinfection requirement evaluation index corresponding to each carriage needing local disinfection with the set environment disinfection requirement evaluation index range corresponding to each local disinfection grade to obtain the local disinfection grade corresponding to each carriage needing local disinfection, thereby positioning and giving the disinfection spraying rate, the disinfection time length and the disinfection solvent concentration corresponding to each carriage needing local disinfection from the subway information base, and taking the serial number, the disinfection spraying rate, the disinfection time length and the disinfection solvent concentration corresponding to each carriage needing local disinfection as local disinfection information.
When the local purification information is confirmed, the purification mode and the purification grade are confirmed by analyzing the internal environment quality condition of each carriage of the subway and comparing the internal environment quality condition of the carriage of the subway with the external environment condition of the carriage of the subway, so that the defects in the current blind purification mode and the current cage purification mode are avoided, the local purification effect of the subway is ensured to the greatest extent, and the specific confirmation process is as follows: q1, acquiring the environment information in the corresponding associated tunnel in the current operation section of the target subway, and positioning the dust concentration,
Figure 424417DEST_PATH_IMAGE088
Concentration, inhalable particle concentration, formaldehyde concentration, toluene concentration, and are each recorded as
Figure 408554DEST_PATH_IMAGE089
And further analyzing to obtain a target subway external environment quality evaluation index, wherein a specific analysis formula is
Figure 675718DEST_PATH_IMAGE090
Figure 654651DEST_PATH_IMAGE091
For the target subway external environment quality assessment index,
Figure 725375DEST_PATH_IMAGE092
respectively the set external dust concentration, the inhalable particle concentration,
Figure 591831DEST_PATH_IMAGE093
The concentration, the concentration of formaldehyde and the concentration of toluene,
Figure 493928DEST_PATH_IMAGE094
respectively the set dust concentration, inhalable particle concentration and the set dust concentration allowed outside the subway,
Figure 53216DEST_PATH_IMAGE095
Threshold values for concentration, formaldehyde concentration, toluene concentration.
Q2, comparing the comprehensive environment quality evaluation index of each compartment of the target subway with the set standard quality evaluation index of the environment of the subway compartment, and if the comprehensive environment quality evaluation index of a certain compartment of a certain target subway is smaller than the standard quality evaluation index of the environment of the subway compartment, judging that the compartment is an environment purification compartment, thereby extracting the number corresponding to each environment purification compartment.
Q3, based on the comprehensive environment quality evaluation index corresponding to each environment purification carriage of the target subway, locating the purification grade corresponding to each environment purification carriage from the subway information base.
Q4, comparing the comprehensive environment quality evaluation index corresponding to each environment purification compartment of the target subway with the external environment quality evaluation index of the target subway, if the comprehensive environment quality evaluation index corresponding to a certain environment purification compartment of the target subway is smaller than the external environment quality evaluation index of the target subway, judging that the environment purification compartment of the target subway is in an external circulation purification mode, otherwise, judging that the environment purification compartment of the target subway is in an internal circulation purification mode, and thus obtaining the purification mode corresponding to each environment purification compartment.
Q5, and the number, purification level and purification mode of each environment purification compartment are used as compartment local purification information.
According to the embodiment of the invention, the whole disinfection analysis, the local disinfection analysis and the local purification analysis are carried out in the target subway, and the disinfection and the purification are carried out by the chlorine dioxide gasification disinfection equipment and the air purification equipment, so that on one hand, the problems of too-caging and conventional current subway air quality monitoring and management modes are effectively solved, the defects of the current monitoring and management modes are avoided, and the disinfection and purification efficiency and the disinfection and purification effect in a subway carriage are greatly improved; on one hand, through multi-dimensional monitoring and management, pertinence, flexibility and reliability of disinfection and purification monitoring and management of the subway carriages are guaranteed, the value of disinfection and purification operation in the subway carriages is improved, and meanwhile, the body health of passengers is effectively guaranteed; on the other hand, the emergence of the incomplete condition of disinfection in having avoided artifical disinfection mode has reduced subway staff's work load, has still ensured the disinfection dynamics and the disinfection intensity in the subway carriage, has reduced subway disinfection operation cost to a certain extent.
Referring to fig. 2, the present invention provides a public transportation environment monitoring, analyzing and managing system based on big data, which includes a subway information acquisition and equipment arrangement module, an overall disinfection detection and analysis module, an overall disinfection execution confirmation terminal, a local disinfection detection and analysis module, a local disinfection auxiliary analysis module, a local purification detection and analysis module, a local disinfection purification execution confirmation terminal, and a subway information base.
In the above, subway information acquires and lays the module with equipment respectively with whole disinfection detection and analysis module, local disinfection auxiliary analysis module, local purification detection and analysis module is connected, local disinfection auxiliary analysis module is connected with local disinfection auxiliary analysis module, whole disinfection detection and analysis module is connected with whole disinfection execution confirmation terminal, local disinfection purification execution confirmation terminal is connected with local disinfection detection and analysis module and local purification detection and analysis module respectively, the subway information base is connected with whole disinfection execution confirmation terminal and local disinfection purification execution confirmation terminal respectively.
The subway information acquisition and equipment layout module is used for acquiring the corresponding positions of all carriages of the target subway, performing equipment layout in all carriages, acquiring the corresponding positions of all access stations of the target subway, dividing the operation road sections of the target subway and further performing equipment layout in the operation tunnels of all the operation road sections.
And the integral disinfection detection and analysis module is used for detecting internal environment information through environment detection equipment in equipment arranged in each carriage when the target subway is in a non-operation stage, and further carrying out integral disinfection analysis.
And the integral disinfection execution confirmation terminal is used for confirming integral disinfection of the carriages and starting chlorine dioxide gasification disinfection equipment in the equipment arranged in each carriage to correspondingly disinfect.
And the local disinfection detection and analysis module is used for detecting the current internal environment information through the environment detection equipment arranged in each carriage when the target subway is in the operation stage, and performing local disinfection analysis, so as to confirm the number of each carriage needing local disinfection.
The local disinfection auxiliary analysis module is used for starting the passenger monitoring equipment arranged in each compartment to collect the number of the current passengers, conducting passenger guide analysis and further starting the voice prompt equipment in the compartment to conduct passenger guide.
The local purification detection analysis module is used for extracting the position corresponding to the current target subway when the target subway is in the operation stage, further obtaining the operation road section where the current target subway is located through matching, detecting the current tunnel environment information through the environment monitoring equipment in the equipment arranged in the operation tunnel corresponding to the operation road section where the target subway is located, and extracting the current internal environment information in each carriage, thereby carrying out local purification analysis.
And the local disinfection and purification execution confirmation terminal is used for confirming the local disinfection information and the local purification information of the carriage according to the results of the local disinfection information and the local purification information, and starting the corresponding chlorine dioxide gasification disinfection equipment and the air purification equipment in the carriage to correspondingly disinfect and purify.
The subway information base is used for storing the disinfection spraying rate, the disinfection time and the disinfection solvent concentration corresponding to each bacteria content, storing the disinfection spraying rate, the disinfection time and the disinfection solvent concentration corresponding to each local disinfection grade, and storing the environment quality evaluation index range corresponding to each purification grade.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (10)

1. A public transport environment monitoring, analyzing and managing method based on big data is characterized by comprising the following steps:
step 1, subway information acquisition and equipment layout: the method comprises the steps of obtaining the corresponding position of each carriage of a target subway, arranging a plurality of environment detection devices, a plurality of passenger monitoring devices, chlorine dioxide gasification disinfection devices, air purification devices and voice prompt devices in each carriage, obtaining the position of each access station corresponding to the target subway, dividing the operation road sections of the target subway, and arranging the environment detection devices in the corresponding operation tunnels of each operation road section;
step 2, integral disinfection detection and analysis: when the target subway is in a non-operation stage, detecting internal environment information through environment detection equipment distributed in each carriage, and performing overall disinfection analysis;
step 3, integral disinfection and purification execution analysis: confirming the whole disinfection information according to the whole disinfection analysis result, and starting chlorine dioxide gasification disinfection equipment distributed in each carriage to correspondingly disinfect;
step 4, local disinfection detection and analysis: when the target subway is in an operation stage, detecting current internal environment information through environment detection equipment arranged in each carriage, and performing local disinfection analysis to obtain an evaluation index of the environment disinfection requirement of each carriage of the target subway in a local disinfection mode, so as to confirm the number of each carriage needing local disinfection;
step 5, local disinfection auxiliary analysis: starting passenger monitoring equipment arranged in each compartment to collect the number of current passengers, performing passenger guiding analysis, and further starting voice prompt equipment arranged in each compartment needing local disinfection to guide the passengers;
step 6, local purification detection and analysis: when a target subway is in an operation stage, extracting a position corresponding to the current target subway, further matching to obtain an operation road section where the current target subway is located, detecting current tunnel environment information through environment monitoring equipment in an operation tunnel corresponding to the operation road section where the target subway is located, and extracting current internal environment information in each carriage at the same time, thereby performing local purification analysis;
and 7, local disinfection and purification execution analysis: and according to the results of the local disinfection analysis and the local purification analysis, the local disinfection information and the local purification information of the carriage are confirmed, and corresponding chlorine dioxide gasification disinfection equipment and air purification equipment in the carriage are started to correspondingly disinfect and purify.
2. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 1, characterized in that: the internal environment information comprises temperature, humidity, ventilation volume, wind direction, wind speed, dust concentration, inhalable particle concentration, formaldehyde concentration, toluene concentration,
Figure 302456DEST_PATH_IMAGE001
Concentration, ammonia concentration, and bacteria content.
3. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 2, characterized in that: the overall disinfection analysis is carried out, and the specific analysis process is as follows:
numbering each compartment corresponding to a target subway according to a set sequence, and sequentially marking the compartments as 1, 2,. i,. n;
the bacterial content is located from the environmental information in each carriage in the target subway and recorded as
Figure 157280DEST_PATH_IMAGE002
I is expressed as a number corresponding to each car, i =1, 2
Figure 609121DEST_PATH_IMAGE003
Analyzing and obtaining the evaluation index of the environment disinfection requirement of each carriage of the target subway in the integral disinfection mode
Figure 5047DEST_PATH_IMAGE004
And e represents a natural number,
Figure 757102DEST_PATH_IMAGE005
the method is a set threshold value of allowable bacteria content in the carriage.
4. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 3, characterized in that: the overall disinfection information is confirmed, and the specific confirmation process comprises the following steps:
matching and comparing the environment disinfection demand evaluation index of each carriage of the target subway in the integral disinfection mode with a standard carriage disinfection demand evaluation index in the set integral disinfection mode, if the environment disinfection demand evaluation index of a certain carriage is greater than or equal to the standard carriage disinfection demand evaluation index, judging that the carriage is a key disinfection carriage, otherwise, judging that the carriage is a common carriage, and extracting the number corresponding to each key carriage and the number corresponding to each common carriage;
extracting ventilation volume, wind speed and bacteria content from corresponding internal environment information in each key compartment, and recording the ventilation volume, the wind speed and the bacteria content as
Figure 251669DEST_PATH_IMAGE006
And
Figure 456385DEST_PATH_IMAGE007
j represents the number corresponding to each key compartment, j =1, 2
Figure 452023DEST_PATH_IMAGE008
Analyzing to obtain the corresponding spreading range of each key compartment
Figure 557120DEST_PATH_IMAGE009
Figure 629112DEST_PATH_IMAGE010
Respectively set spreading weight factors corresponding to the bacteria content, the ventilation volume and the wind speed,
Figure 180179DEST_PATH_IMAGE011
Figure 854874DEST_PATH_IMAGE012
and
Figure 548899DEST_PATH_IMAGE013
respectively representing the ventilation quantity, the wind speed and the bacteria content corresponding to a preset unit spreading range;
extracting wind directions from the corresponding internal environment information in each key compartment, obtaining each overspread compartment corresponding to each key compartment based on the wind directions corresponding to each key compartment and the overspread range corresponding to each key compartment, obtaining the positions of each key compartment and each overspread compartment thereof, setting an overspread degree weight factor, marking each overspread compartment corresponding to each key compartment as an interference compartment, and extracting the number corresponding to each interference compartment;
positioning a disinfection spraying rate, disinfection duration and disinfection solvent concentration corresponding to each key carriage from a subway information base according to the bacterial content corresponding to each key carriage;
extracting bacterial content and spreading degree weight factors corresponding to each interference carriage according to the number corresponding to each interference carriage, and calculating to obtain the predicted bacterial content corresponding to each interference carriage through a calculation formula, so as to position and give disinfection spraying rate, disinfection duration and disinfection solvent concentration corresponding to each interference carriage from a subway information base;
according to the number corresponding to each common carriage and the number corresponding to each interference carriage, each interference carriage is removed from each common carriage, the remaining common carriages after removal are marked as safe carriages, and the bacterial content corresponding to each safe carriage is extracted, so that the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration corresponding to each safe carriage are positioned and given from a subway information base;
and integrating the disinfection spraying rate, the disinfection duration and the disinfection solvent concentration of each key carriage, each interference carriage and the corresponding safety carriage, and taking the integrated disinfection information as the whole disinfection information of the target subway.
5. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 1, characterized in that: the passenger guidance analysis is carried out, and the specific analysis process is as follows:
firstly, acquiring the number of passengers currently corresponding to each compartment, and calculating the residual accommodation capacity corresponding to each compartment through a calculation formula;
secondly, extracting the number of passengers corresponding to each compartment needing local disinfection according to the serial number of each compartment needing local disinfection, if no passenger exists in a certain compartment needing local disinfection, judging that the local disinfection compartment does not need to be guided, otherwise, executing a third step;
thirdly, removing all carriages needing local disinfection from all carriages, marking all the remaining carriages after removal as all the transloadable carriages, and extracting the corresponding numbers of all the transloadable carriages so as to obtain the corresponding positions of all the transloadable carriages;
fourthly, acquiring the corresponding position of each carriage needing local disinfection, generating each transshipment path corresponding to each carriage needing local disinfection by using the corresponding position of each carriage needing local disinfection and the corresponding position of each transshipment carriage, and extracting the length and the path corresponding to each transshipment path in each carriage needing local disinfectionThe number of the carriages needing to be disinfected and the number of the passengers currently corresponding to the carriages needing to be disinfected in each way are respectively recorded
Figure 650847DEST_PATH_IMAGE014
And
Figure 564576DEST_PATH_IMAGE015
r represents a number corresponding to each carriage needing local disinfection, r =1, 2,.. eta.p, k represents a number corresponding to each transfer path, k =1, 2,.. eta.q, g represents a number corresponding to each path carriage needing disinfection, and g =1, 2,. eta.v;
the fifth step of passing an analysis formula
Figure 777383DEST_PATH_IMAGE016
Analyzing to obtain the optimal index corresponding to each transfer path in each carriage needing local disinfection
Figure 217591DEST_PATH_IMAGE017
Figure 988976DEST_PATH_IMAGE018
Respectively expressed as weight factors corresponding to the set transfer path length, the number of the sterilizing carriages needed by the path and the number of the transfer personnel,
Figure 390002DEST_PATH_IMAGE019
respectively representing the length of a set reference transfer path, the number of disinfection carriages required by a reference path and the number of reference transfer personnel;
and sixthly, sorting the optimal indexes corresponding to the transfer paths in each compartment needing local disinfection in a descending order, and taking the transfer path with the first rank as the target transfer path of each compartment needing local disinfection, thereby generating voice prompt information of each compartment needing local disinfection.
6. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 5, characterized in that: the local purification analysis is carried out, and the specific analysis process is as follows:
extracting temperature, humidity and ventilation quantity from the current internal environment information in each carriage to be used as somatosensory environment information, analyzing through an analysis formula to obtain a somatosensory environment quality evaluation index of each carriage, and recording the index as the somatosensory environment quality evaluation index
Figure 130468DEST_PATH_IMAGE020
Extracting formaldehyde concentration, toluene concentration and the like from the current internal environment information in each carriage,
Figure 986035DEST_PATH_IMAGE021
The concentration and the ammonia gas concentration are used as gas environment information, and further the gas environment quality evaluation index in each compartment is obtained through analysis of an analysis formula and recorded as
Figure 695365DEST_PATH_IMAGE022
Extracting dust concentration and inhalable particle concentration from the current internal environment information in each carriage to be used as respiratory environment information, further analyzing by an analysis formula to obtain respiratory environment quality evaluation indexes of each carriage, and recording as the respiratory environment quality evaluation indexes
Figure 583686DEST_PATH_IMAGE023
According to the quality evaluation indexes corresponding to the somatosensory environment, the gas environment and the respiratory environment of each carriage, analyzing the indexes by an analysis formula
Figure 902410DEST_PATH_IMAGE024
Analyzing to obtain the comprehensive environment quality evaluation index of each carriage of the target subway
Figure 192577DEST_PATH_IMAGE025
Figure 72808DEST_PATH_IMAGE026
The weight factors are expressed respectively for the set vehicle cabin body feeling environment, gas environment, and breathing environment.
7. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 1, characterized in that: the local disinfection information of the carriage is confirmed, and the specific confirmation process comprises the following steps:
positioning an environment disinfection requirement evaluation index corresponding to each compartment needing local disinfection from the environment disinfection requirement evaluation indexes of each compartment of the target subway in the local disinfection mode;
and comparing the environment disinfection requirement evaluation index corresponding to each carriage needing local disinfection with the set environment disinfection requirement evaluation index range corresponding to each local disinfection grade to obtain the local disinfection grade corresponding to each carriage needing local disinfection, thereby positioning and giving the disinfection spraying rate, the disinfection time length and the disinfection solvent concentration corresponding to each carriage needing local disinfection from the subway information base, and taking the serial number, the disinfection spraying rate, the disinfection time length and the disinfection solvent concentration corresponding to each carriage needing local disinfection as local disinfection information.
8. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 6, characterized in that: the local carriage purification information confirmation is carried out in the following specific confirmation process:
acquiring environment information in a corresponding associated tunnel in a current operation road section of a target subway, and further analyzing to obtain an external environment quality evaluation index of the target subway;
comparing the comprehensive environment quality evaluation index of each compartment of the target subway with a set standard subway compartment environment quality evaluation index, if the comprehensive environment quality evaluation index of a certain compartment of a certain target subway is smaller than the standard subway compartment environment quality evaluation index, judging that the compartment is an environment purification compartment, and extracting the number corresponding to each environment purification compartment;
based on the comprehensive environment quality evaluation index corresponding to each environment purification carriage of the target subway, positioning the purification grade corresponding to each environment purification carriage from a subway information base;
comparing the comprehensive environment quality evaluation index corresponding to each environment purification compartment of the target subway with the external environment quality evaluation index of the target subway, if the comprehensive environment quality evaluation index corresponding to a certain environment purification compartment of the target subway is smaller than the external environment quality evaluation index of the target subway, judging that the environment purification compartment of the target subway is in an external circulation purification mode, otherwise, judging that the environment purification compartment of the target subway is in an internal circulation purification mode, and thus obtaining the purification mode corresponding to each environment purification compartment;
the number, the purification grade and the purification mode of each environment purification compartment are used as compartment local purification information.
9. The mass transit environment monitoring, analyzing and managing method based on big data as claimed in claim 8, wherein: the specific analysis process of the target subway external environment quality evaluation index is as follows:
positioning the dust concentration from the corresponding associated tunnel environment information in the current operation section of the target subway,
Figure 347627DEST_PATH_IMAGE027
Concentration, inhalable particle concentration, formaldehyde concentration, toluene concentration, and are each recorded as
Figure 440347DEST_PATH_IMAGE028
By analytical formulae
Figure 709655DEST_PATH_IMAGE029
Analyzing to obtain the quality evaluation index of the external environment of the target subway
Figure 495208DEST_PATH_IMAGE030
Figure 358122DEST_PATH_IMAGE031
Respectively the set external dust concentration, the inhalable particle concentration,
Figure 753069DEST_PATH_IMAGE032
The concentration, the concentration of formaldehyde and the concentration of toluene,
Figure 17828DEST_PATH_IMAGE033
respectively the set allowable dust concentration, inhalable particle concentration and the like outside the subway,
Figure 239862DEST_PATH_IMAGE034
Threshold values for concentration, formaldehyde concentration, toluene concentration.
10. A public transport environment monitoring analysis management system based on big data is characterized in that: the method comprises the following steps:
the subway information acquisition and equipment layout module is used for acquiring the corresponding positions of all carriages of the target subway, performing equipment layout in all carriages, acquiring the corresponding positions of all access stations of the target subway, dividing the running road sections of the target subway and further performing equipment layout in the running tunnels of all the running road sections;
the integrated disinfection detection and analysis module is used for detecting internal environment information through environment detection equipment in equipment distributed in each carriage when the target subway is in a non-operation stage, and further performing integrated disinfection analysis;
the integral disinfection execution confirmation terminal is used for confirming integral disinfection of the carriages and starting chlorine dioxide gasification disinfection equipment in the equipment distributed in each carriage to correspondingly disinfect;
the local disinfection detection and analysis module is used for detecting current internal environment information through environment detection equipment distributed in each carriage when the target subway is in an operation stage, and performing local disinfection analysis so as to confirm the number of each carriage needing local disinfection;
the local disinfection auxiliary analysis module is used for starting passenger monitoring equipment arranged in each carriage to collect the number of the current passengers, conducting passenger guide analysis and further starting voice prompt equipment in the carriage to conduct passenger guide;
the local purification detection analysis module is used for extracting the position corresponding to the current target subway when the target subway is in an operation stage, further matching to obtain an operation road section where the current target subway is located, detecting the current tunnel environment information through environment monitoring equipment in running equipment in a running tunnel corresponding to the operation road section where the target subway is located, and extracting the current internal environment information in each carriage so as to perform local purification analysis;
the local disinfection and purification execution confirmation terminal is used for confirming the local disinfection information and the local purification information of the carriage according to the results of the local disinfection information and the local purification information, and starting the corresponding chlorine dioxide gasification disinfection equipment and the air purification equipment in the carriage to correspondingly disinfect and purify;
and the subway information base is used for storing the disinfection spraying rate, the disinfection time and the disinfection solvent concentration corresponding to each bacteria content, storing the disinfection spraying rate, the disinfection time and the disinfection solvent concentration corresponding to each local disinfection grade, and storing the environment quality evaluation index range corresponding to each purification grade.
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