CN113850477A - Method, device and terminal for judging hazard level of pollutant - Google Patents
Method, device and terminal for judging hazard level of pollutant Download PDFInfo
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Abstract
The invention discloses a method, a device and a terminal for judging the hazard grade of pollutants, wherein the method comprises the following steps: when receiving various detection information sent by various detectors in each area of the subway station, sending out an alarm; calculating parameter values of a plurality of judgment indexes according to the plurality of kinds of detection information; loading a plurality of membership functions of each judgment index in a plurality of judgment indexes, and constructing a hazard level judgment matrix according to the plurality of membership functions and corresponding parameter values; loading the weight of each judgment index, and multiplying the weight of each judgment index by the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station; and determining the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station. Therefore, the method and the device can provide support for evacuation measures of different areas in the subway station according to the hazard level of each area of the subway station, and accordingly subway emergency handling capacity and safety guarantee level can be improved.
Description
Technical Field
The invention relates to the technical field of transportation hub safety, in particular to hazard grade judgment of pollutants in an area.
Background
Subway stations are important projects for the development of the current society, and with the advance of the construction of urban modernization, the subway stations can be seen everywhere in urban window areas such as urban large commercial blocks, airports, ports, docks, long-distance passenger stations, tourist attractions and the like.
At present, the subway station is monitored and commanded mainly by manpower and video monitoring, when a user enters the subway station, workers can perform whole-body scanning and inspection, then whether the pollutant poison is carried or not is inspected, and then supervision and command scheduling are performed according to inspection results of the workers to guarantee the safety of the subway station.
Disclosure of Invention
The embodiment of the application provides a method, a device and a terminal for judging the hazard level of pollutants. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, an embodiment of the present application provides a method for determining a hazard level of a pollutant, where the method includes:
when receiving various detection information sent by various detectors in each area of the subway station, generating alarm information for early warning;
calculating parameter values of a plurality of judgment indexes according to the plurality of detection information, wherein the plurality of judgment indexes comprise an acute toxicity class, a skin injury class, an eye injury class, a respiratory sensitization class, a flammable and combustible class, a pollutant concentration, a passenger flow density and a unit width passenger flow section flow rate;
loading a membership function of each judgment index in the plurality of judgment indexes under each damage level, and constructing a damage level judgment matrix according to the parameter value of each judgment index and the membership function of each judgment index under each damage level;
loading the weight of each judgment index, and multiplying the weight of each judgment index by the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station;
and determining the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station.
Optionally, the method further comprises:
acquiring color display parameters of different hazard grades;
determining color display parameters corresponding to the hazard level of each area of the subway station according to the color parameters of different hazard levels;
generating a color image of each area of the subway station according to the color display parameters corresponding to the hazard level of each area of the subway station;
and sending the color image of each region to a corresponding client for displaying.
Optionally, determining the hazard level of each area of the subway station based on the hazard level determination sequence of each area of the subway station includes:
identifying a maximum probability hazard grade judgment value of each area of the subway station from the hazard grade judgment sequence of each area of the subway station;
and determining the hazard grade corresponding to the maximum probability hazard grade judgment value of each area of the subway station as the hazard grade of the area.
Optionally, constructing a hazard level judgment matrix according to the parameter value of each judgment index and the membership function of each hazard level, including:
calculating the membership degree of each judgment index belonging to each hazard grade according to the parameter value of each judgment index and the membership function, and generating a membership degree sequence of each judgment index belonging to each hazard grade;
taking the membership degree sequence of each judgment index as a row of matrix elements to generate a plurality of rows of matrix elements;
and constructing a hazard grade judgment matrix based on the multiple rows of matrix elements.
Optionally, generating weights of the plurality of determination indexes according to the following steps includes:
s401, determining a plurality of judgment indexes related to the hazard level;
s402, determining respective relative importance degree sequence of each judgment index in a plurality of judgment indexes, and constructing a priority relation matrix based on the priority order and the scale of the importance degrees;
s403, calculating an initial sorting vector of the priority relation matrix by adopting a square root method;
s404, calculating a maximum characteristic root of an initial sorting vector, and calculating a consistency ratio of the initial sorting vector according to the maximum characteristic root;
s405, determining whether the initial sorting vector is the weight of each of the plurality of judgment indexes based on whether the consistency ratio meets the consistency check;
and S406, if yes, determining the initial sorting vector as the weight of each of a plurality of judgment indexes.
Optionally, determining the amount of each vector in the initial sorting vector based on whether the consistency ratio satisfies the consistency check includes:
when the consistency ratio is smaller than or equal to a preset threshold value, judging that the consistency test is met, and determining each vector in the initial sequencing vector as the weight of each judgment index;
and when the consistency ratio is larger than a preset threshold value, judging that the consistency test is not satisfied, and continuing to execute the steps S402-S405 until the consistency ratio is smaller than or equal to the preset threshold value, and determining the initial sorting vector satisfying the consistency test requirement as the weight of each of the plurality of judgment indexes.
Optionally, generating a plurality of membership functions of each of the plurality of determination indexes under each hazard level according to the following steps, including:
acquiring historical data of various sensors in a preset period;
acquiring historical data corresponding to each judgment index from the historical data;
determining a threshold value of each judgment index belonging to each hazard level according to historical data corresponding to each judgment index;
and constructing a plurality of membership functions of each judgment index under each risk level according to the threshold value of each judgment index which is subordinate to each risk level.
Optionally, the plurality of determination indicators includes an acute toxicity category, a skin injury category, an eye injury category, a respiratory sensitization category, a flammable and explosive category, a pollutant concentration, a passenger flow density, a unit width passenger flow cross-sectional flow rate.
Optionally, determining the gas concentration of a region comprises:
determining a preset three-dimensional detection interval corresponding to each gas detector in a three-dimensional space of the subway;
performing clustering calculation on the three-dimensional detection interval by adopting a K-means clustering algorithm to generate n interval division results of the subway three-dimensional terrain space;
and calculating the concentration of each type of gas in each interval, and finally performing weighted calculation on the concentration to generate the gas concentration of each interval.
In a second aspect, an embodiment of the present application provides an apparatus for determining a hazard level of a contaminant, where the apparatus includes:
the detection information receiving module is used for generating alarm information for early warning when receiving various detection information sent by various detectors in each area of the subway station;
the parameter value calculation module is used for calculating parameter values of a plurality of judgment indexes according to the various detection information;
the damage grade judgment matrix building module is used for loading a membership function of each judgment index in the plurality of judgment indexes under each damage grade and building a damage grade judgment matrix according to the parameter value of each judgment index and the membership function of each judgment index under each damage grade;
the hazard grade judgment value generation module is used for loading the weight of each judgment index, and multiplying the weight of each judgment index and the hazard grade judgment matrix to generate a hazard grade judgment sequence of each area of the subway station;
and the hazard grade determining module is used for determining the hazard grade of each area of the subway station based on the hazard grade judging sequence of each area of the subway station.
In a third aspect, an embodiment of the present application provides a terminal, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the embodiment of the application, when receiving multiple detection information sent by multiple detectors in each area of a subway station, a pollutant hazard level judgment device firstly gives an alarm, then calculates parameter values of multiple judgment indexes according to the multiple detection information, then loads multiple membership functions of each judgment index in the multiple judgment indexes, constructs a hazard level judgment matrix according to the multiple membership functions and the corresponding parameter values, then loads the weight of each judgment index, and multiplies the weight of each judgment index and the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station, and finally determines the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station. According to the method and the device, the damage grade of each area of the subway station is determined by loading the membership function and the weight of each judgment index and calculating the damage grade judgment value by combining the specific parameter value of each judgment index, and meanwhile, support can be provided for evacuation measures of different areas in the subway station according to the damage grade of each area of the subway station, so that the emergency handling capacity and the safety guarantee level of the subway can be improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic flowchart of a method for determining a hazard level of a contaminant according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a device for determining a hazard level of a contaminant according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without any inventive step, are within the scope of the present invention.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In the description of the present invention, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The application provides a method and a device for judging the hazard level of pollutants, a storage medium and a terminal, which are used for solving the problems in the related technical problems. In the technical scheme provided by the application, the hazard level of each area of the subway station is determined by loading a plurality of membership functions and weights of each determination index and calculating the hazard level determination value by combining specific parameter values of each determination index, and meanwhile, support can be provided for evacuation measures of different areas in the subway station according to the hazard level of each area of the subway station, so that the emergency handling capacity and the safety guarantee level of the subway station can be improved, and the detailed description is given by adopting an exemplary embodiment.
The method for determining the hazard level of a contaminant according to the embodiment of the present application will be described in detail below with reference to fig. 1. The method may be implemented by means of a computer program, which may be run on a hazard classification determination device for pollutants based on the von neumann system. The computer program may be integrated into the application or may run as a separate tool-like application.
Referring to fig. 1, a flow chart of a method for determining a hazard level of a contaminant is provided in an embodiment of the present application. As shown in fig. 1, the method of the embodiment of the present application may include the following steps:
s101, when receiving various detection information sent by various detectors in each area of a subway station, generating alarm information for early warning;
the detector is an electronic device which is deployed at a subway station and used for detecting pollutants and collecting data, and comprises a nuclear detector (N-N), a biological detector (B-N), a chemical detector (C-N) and a video detector (V-N).
Generally, the three types of detectors, nuclear and biochemical, can detect the type and current concentration of suspected pollutants, and the video detector can identify the current passenger flow density and the cross-sectional passenger flow rate.
In a possible implementation mode, firstly, data acquisition is carried out through various detectors arranged in a subway station and acquired data are detected, when three types of detectors of nuclear biochemistry detect pollutant toxicants, the three types of detectors of nuclear biochemistry transmit the names of the detected pollutant toxicants, the concentrations of the pollutant toxicants and other data information to a monitoring platform, and the monitoring platform generates alarm information to carry out early warning when receiving various detection information transmitted by the various detectors in each area of the subway station.
Further, the alarm information may be alarm information in a text, image and voice format, and the pre-warning may be that the alarm information in the text, image and voice format is sent to a relevant department for pre-warning in a mailbox, short message and voice prompt manner.
S102, calculating parameter values of a plurality of judgment indexes according to the plurality of kinds of detection information;
the plurality of judgment indexes are determined according to influence factors capable of reflecting the damage levels of different areas of the subway. The identification is preset by the developer.
In the scene mentioned in the invention, in order to judge the hazard level of pollutants in each area of a subway station, firstly determining the influence factors influencing the hazard level of each pollutant, and aiming at the complex environment and passenger flow condition of the subway station and the internal areas of a subway carriage, research personnel selects the hazard level of the pollutants, the pollutant concentration C, the passenger flow density T and the unit width passenger flow cross section flow rate P as a plurality of judgment indexes of the hazard level of each area of the subway station, wherein the hazard level of the pollutants can be further divided into an acute toxicity class D, a skin injury class S, an eye injury class E, a respiratory tract sensitization class A and an inflammable and explosive class B according to the classification standard specified by the existing GHS system, and a plurality of judgment index domains U of hazard levels of different areas in the subway station are established as follows:
U＝{UD，US，UE，UA，UB，UC，UT，Up}
it is understood that the plurality of determination indicators (or influencing factors) influencing the hazard level of each area include an acute toxicity category, a skin injury category, an eye injury category, a respiratory sensitization category, a flammable and combustible category, a pollutant concentration, a passenger flow density, a unit width passenger flow cross-sectional flow rate.
In a possible implementation manner, after receiving multiple kinds of detection information sent by multiple kinds of detectors in each area of the subway station, the parameter value of each judgment index in multiple judgment index domains U can be respectively calculated according to the multiple kinds of detection information.
In the embodiment of the application, when the detector detects the gas concentration of a certain area of a subway station, a preset three-dimensional detection interval corresponding to each gas detector in a three-dimensional space of the subway is determined, clustering calculation is performed on the three-dimensional detection intervals by adopting a K-means clustering algorithm to generate n interval partitions of the three-dimensional terrain space of the subway, then the concentration of each type of gas in each interval is calculated, and finally the concentration is weighted and calculated to generate the gas concentration of each interval.
It should be noted that, because the gas and smoke detector is usually small in size, the gas concentration in a small space is usually detected or characterized by the gas and smoke detector, in a large open space such as a subway station, it is impossible to arrange the detectors too densely, and how to characterize the concentration of a relatively fixed stereo space area by the concentration of a small area detected by the detectors is the first problem to be solved, including the determination of the three-dimensional coordinates of the stereo space, and the detection error between the concentration detected by the detectors and the stereo area.
Specifically, the judgment index U is calculatedD，US，UE，UA，UB，UC，UT，UpAnd when the corresponding parameter values are respectively obtained, determining the gas space range corresponding to each detector by adopting the following steps:
firstly, establishing or acquiring a gridded three-dimensional GIS space model of a subway station, wherein the three-dimensional GIS space model comprises an internal space structure, a channel, an outlet and a detector arrangement of the subway;
for each detector, constructing a corresponding three-dimensional detection interval, specifically, the method for determining the three-dimensional detection space is as follows:
a. according to a pre-constructed CFD three-dimensional gas diffusion model, with preset time as a constraint condition, determining that the difference value between the gas concentration detected by each detector and the gas concentration of the outermost concentration plane in the corresponding three-dimensional detection interval calculated according to the diffusion model is within a preset range in the preset time, and the gas concentration of the outermost concentration plane in the three-dimensional detection interval is greater than the minimum detection concentration of a target detector. Considering the preset time as the shortest diffusion time required by diffusion, wherein the three-dimensional interval corresponding to the shortest diffusion time is the range covered by the gas detector;
b. performing the calculation on each gas detector to obtain a three-dimensional detection section corresponding to each gas detector;
c. and performing clustering calculation on the stereo detection interval corresponding to each gas detector in the subway three-dimensional space, for example, clustering the obtained stereo detection interval of each gas detector by adopting a K-means clustering algorithm, and acquiring n interval partitions of the subway three-dimensional terrain space.
d. And calculating the concentration of each type of gas in each section obtained by clustering, and weighting and acquiring the detected concentration of at least one gas detector of the type in the section as the gas concentration of the region.
S103, loading the membership function of each judgment index in the plurality of judgment indexes under each hazard level, and constructing a hazard level judgment matrix according to the parameter value of each judgment index and the membership function of each judgment index under each hazard level;
and the membership function of each judgment index is pre-constructed and then stored in the memory. In an actual application scenario, loading can be performed from a memory when hazard level determination is performed.
Generally, different regional hazard levels of the subway have no absolute limit, so that the classification limit is reasonably drawn by using the membership degree, and each evaluation index is optimally small in value, so that small distribution is adopted.
In the embodiment of the application, when generating a plurality of membership functions of each determination index in a plurality of determination indexes, historical data of a plurality of sensors in a preset period is obtained, historical data corresponding to each determination index is obtained from the historical data, a threshold value of each determination index which is subordinate to each hazard level is determined according to the historical data corresponding to each determination index, a plurality of membership functions of each determination index are constructed according to the threshold value of each determination index which is subordinate to each hazard level, and finally the plurality of membership functions of each determination index are stored.
Specifically, historical data is collected, a plurality of membership functions corresponding to each judgment index are constructed according to threshold values of each judgment index corresponding to each hazard level in the historical data and the threshold values, and the membership functions are mapping relations between the judgment indexes and hazard level sets. The triangular membership function is widely applied, the description is visual and clear, and the calculation is simple and clear, so that the triangular membership function is selected to establish the mapping relation between the evaluation index and the hazard level set.
For example, taking the passenger flow density as an example, table 1 shows that the passenger flow density corresponds to each hazard level
TABLE 1
| Hazard classification | Secure | Is safer | In general | Is relatively dangerous | Danger of |
| Density of passenger flow | 0.42 | 0.67 | 1.02 | 1.72 | 3.01 |
The threshold value of (2). The constructed membership functions corresponding to the passenger flow density are respectively as follows:
in a possible implementation manner, after parameter values of a plurality of judgment indexes are calculated, a plurality of membership functions of each judgment index in the plurality of judgment indexes stored in advance are loaded from a memory, then the parameter values of each judgment index are calculated one by one with the corresponding membership functions thereof to generate a membership sequence of each judgment index, the membership sequence of each judgment index is used as a row of matrix elements to generate a plurality of rows of matrix elements, and finally a hazard level judgment matrix G is constructed based on the plurality of rows of matrix elements.
For example, taking the passenger flow density as an example, assuming that the detector transmits data indicating that the passenger flow density is 2.1 persons/square meter, a row of matrix elements (G | U) can be calculated according to the membership functionT)＝[0,0,0,0.70,0.30]。
S104, loading the weight of each judgment index, and multiplying the weight of each judgment index by the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station;
wherein the weight refers to the degree w of influence of each judgment index (acute toxicity type D, skin injury type S, eye injury type E, respiratory tract sensitization type A, flammable and explosive type B, pollutant concentration C, passenger flow density T and unit width passenger flow cross-section flow rate P) of 8 judgment indexes (acute toxicity type D, skin injury type S, eye injury type E, respiratory tract sensitization type A, flammable and explosive type B) on the hazard level of different areas in the subway station on the area hazard leveli. It is easy to know that the sum of all weights is 1.
In the embodiment of the present application, when generating the weight of each of the plurality of determination indexes,
s401, firstly determining a plurality of judgment indexes related to the hazard level, S402, then determining respective relative importance ranks of each judgment index in the plurality of judgment indexes, constructing a priority relationship matrix based on the priority order and the scale method of the importance, S403, then calculating an initial ranking vector of the priority relationship matrix by adopting a square root method, S404, calculating the maximum feature root of the initial ranking vector, calculating the consistency ratio of the initial ranking vector according to the maximum feature root, and S405, determining whether the initial ranking vector is the respective weight of the plurality of judgment indexes based on whether the consistency ratio meets the consistency check requirement or not; s406, if yes, determining the initial rank vector as a weight of each of the plurality of determination indicators, where a person skilled in the art can understand that the initial rank vector is a sequence, and each parameter in the sequence corresponds to a weight of each determination indicator.
Further, when determining whether each vector in the initial sorting vector is the weight of each of the plurality of determination indexes based on the consistency ratio, firstly, when the consistency ratio is less than or equal to a preset threshold value, determining that the consistency test is satisfied, and determining the initial sorting vector as the weight of each of the plurality of determination indexes; and when the consistency ratio is larger than a preset threshold value, judging that the consistency check requirement is not met, and continuing to execute the steps S402-S405 until the consistency ratio is smaller than or equal to the preset threshold value, and determining the initial sorting vector meeting the consistency check requirement as the weight of each of the plurality of judgment indexes.
Specifically, when generating the weights of the plurality of determination indexes, first, a priority relationship matrix F (F) is created by a 1-9 scaling method according to the degree of importance between the determination indexesij)n*nThe following were used:
in the above formula, s (i) represents the importance of the determination index i, and s (i) < s (j) represents that the importance of the determination index i is far less than that of the determination index j, so that the obtained matrix is:
solving the sequencing vector on the basis of F, and obtaining W-W (W) after iterative optimization until the convergence requirement is met1,w2,w3,w4,w5,w6,w7,w8)TI.e. the weight corresponding to each determination index.
For example, in a major emergency scenario facing nuclear biochemical attack, according to the relative importance relationship between the indexes, the priority relationship matrix F can be obtained by expert scoring as follows:
on the basis, solving the sequencing vector and carrying out consistency check, firstly obtaining an initial sequencing vector W by using a square root method(0)＝(0.174,0.107,0.061,0.061,0.040,0.253,0.253,0.051)TThe initial rank vector consistency ratio was found to be 0.112 by computing the largest feature root>0.1, the consistency check cannot be satisfied, so iterative optimization is required. Obtaining W after one iteration(1)＝(0.168,0.102,0.060,0.060,0.041,0.260,0.260,0.050)TThe consistency ratio of the sequencing vectors is found to be 0.010 by calculating the maximum characteristic root<0.1, compliance check is satisfied, so W ═ 0.168,0.102,0.060,0.060,0.041,0.260,0.260,0.050)TAs weights for a plurality of determination indicators in the scene.
In a possible implementation manner, after the hazard level judgment matrix is constructed, the respective weights of a plurality of judgment indexes stored in advance are firstly obtained from a memory, and then the respective weights of the plurality of judgment indexes are multiplied by the hazard level judgment matrix to generate a plurality of hazard level judgment values of each area of the subway station.
For example, the hazard level B of different areas in the subway is calculated by combining the weights of each of a plurality of determination indexes (acute toxicity type D, skin injury type S, eye injury type E, respiratory sensitization type a, flammable and explosive type B, pollutant concentration C, passenger flow density T, and unit-width passenger flow cross-sectional flow rate P) with the determination matrix.
In the above formula BiAnd (3) representing the probability that the current region belongs to the i-th level hazard level, and taking the maximum value to judge the hazard level of the current region.
For example, when B is obtained by analysis (0,0,0.10,0.76,0.14), it is known that the probability of being assigned to the fourth-order hazard level is the highest, and therefore, it is possible to determine that the hazard level of the current area is four-order.
And S105, determining the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station.
In a possible implementation manner, when determining the hazard level of each area of the subway station, firstly, a maximum probability hazard level determination value of each area of the subway station is identified from a hazard level determination sequence of each area of the subway station, and then a hazard level corresponding to the maximum probability hazard level determination value of each area of the subway station is determined as the hazard level of the area.
Further, after the hazard level of each area of the subway station is determined, color display parameters of different hazard levels are firstly obtained, then color display parameters corresponding to the hazard level of each area of the subway station are determined according to the color parameters of different hazard levels, color images of each area of the subway station are generated according to the color display parameters corresponding to the hazard level of each area of the subway station, and finally the color images of each area are sent to corresponding clients for displaying.
For example, the results of the hazard levels of different areas of the subway are displayed at the front end, different colors are adopted to distinguish the hazard levels, red represents that the hazard level is highest, yellow is second, blue is second, and green is the lowest hazard level.
In the embodiment of the application, when receiving multiple detection information sent by multiple detectors in each area of a subway station, a pollutant hazard level judgment device firstly gives an alarm, then calculates parameter values of multiple judgment indexes according to the multiple detection information, then loads multiple membership functions of each judgment index in the multiple judgment indexes, constructs a hazard level judgment matrix according to the multiple membership functions and the corresponding parameter values, then loads the weight of each judgment index, and multiplies the weight of each judgment index and the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station, and finally determines the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station. According to the method and the device, the damage grade of each area of the subway station is determined by loading the membership function and the weight of each judgment index and calculating the damage grade judgment value by combining the specific parameter value of each judgment index, and meanwhile, support can be provided for evacuation measures of different areas in the subway station according to the damage grade of each area of the subway station, so that the emergency handling capacity and the safety guarantee level of the subway can be improved.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Referring to fig. 2, a schematic structural diagram of a device for determining a hazard level of a contaminant according to an exemplary embodiment of the present invention is shown. The means for determining the hazard level of the contaminant may be implemented as all or part of the terminal in software, hardware, or a combination of both. The device 1 comprises a detection information receiving module 10, a parameter value calculating module 20, a hazard level judgment matrix constructing module 30, a hazard level judgment value generating module 40 and a hazard level determining module 50.
The detection information receiving module 10 is used for generating alarm information for early warning when receiving various detection information sent by various detectors in each area of the subway station;
a parameter value calculating module 20, configured to calculate parameter values of a plurality of determination indexes according to the plurality of detection information;
a damage level judgment matrix building module 30, configured to load a membership function of each judgment index in the multiple judgment indexes at each damage level, and build a damage level judgment matrix according to a parameter value of each judgment index and the membership function of each judgment index at each damage level;
the hazard level judgment value generation module 40 is configured to load the weight of each judgment index, and generate a hazard level judgment sequence of each area of the subway station by multiplying the weight of each judgment index by the hazard level judgment matrix;
and the hazard level determining module 50 is used for determining the hazard level of each area of the subway station based on the hazard level judging sequence of each area of the subway station.
It should be noted that, when the hazard level determination device for contaminants provided in the above embodiments executes the method for determining the hazard level of contaminants, the above division of the functional modules is merely used as an example, and in practical applications, the above functions may be distributed to different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus for determining the hazard level of a contaminant and the method for determining the hazard level of a contaminant provided in the above embodiments belong to the same concept, and details of the implementation process are shown in the method embodiments and are not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the embodiment of the application, when receiving multiple detection information sent by multiple detectors in each area of a subway station, a pollutant hazard level judgment device firstly gives an alarm, then calculates parameter values of multiple judgment indexes according to the multiple detection information, then loads multiple membership functions of each judgment index in the multiple judgment indexes, constructs a hazard level judgment matrix according to the multiple membership functions and the corresponding parameter values, then loads the weight of each judgment index, and multiplies the weight of each judgment index and the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station, and finally determines the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station. According to the method and the device, the damage grade of each area of the subway station is determined by loading the membership function and the weight of each judgment index and calculating the damage grade judgment value by combining the specific parameter value of each judgment index, and meanwhile, support can be provided for evacuation measures of different areas in the subway station according to the damage grade of each area of the subway station, so that the emergency handling capacity and the safety guarantee level of the subway can be improved.
The present invention also provides a computer readable medium having stored thereon program instructions that, when executed by a processor, implement the method for determining a hazard level of a contaminant provided by the various method embodiments described above.
The present invention also provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method for determining a hazard level of a contaminant of the various method embodiments described above.
Please refer to fig. 3, which provides a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in fig. 3, terminal 1000 can include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a standard wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 3, a memory 1005, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a hazard classification determination application for contaminants.
In the terminal 1000 shown in fig. 3, the user interface 1003 is mainly used for providing an input interface for a user to obtain data input by the user; and the processor 1001 may be configured to invoke the hazard level determination application for the contaminants stored in the memory 1005 and specifically perform the following operations:
when receiving various detection information sent by various detectors in each area of the subway station, generating alarm information for early warning;
calculating parameter values of a plurality of judgment indexes according to the plurality of kinds of detection information;
loading a membership function of each judgment index in the plurality of judgment indexes under each damage level, and constructing a damage level judgment matrix according to the parameter value of each judgment index and the membership function of each judgment index under each damage level;
loading the weight of each judgment index, and multiplying the weight of each judgment index by the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station;
and determining the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station.
In one embodiment, the processor 1001 also performs the following operations:
acquiring color display parameters of different hazard grades;
determining color display parameters corresponding to the hazard level of each area of the subway station according to the color parameters of different hazard levels;
generating a color image of each area of the subway station according to the color display parameters corresponding to the hazard level of each area of the subway station;
and sending the color image of each region to a corresponding client for displaying.
In one embodiment, when executing the determination of the hazard level of each area of the subway station based on the hazard level determination sequence of each area of the subway station, the processor 1001 specifically performs the following operations:
identifying a maximum probability hazard grade judgment value of each area of the subway station from the hazard grade judgment sequence of each area of the subway station;
and determining the hazard grade corresponding to the maximum probability hazard grade judgment value of each area of the subway station as the hazard grade of the area.
In one embodiment, when the processor 1001 constructs the hazard level determination matrix according to the parameter value of each determination index and the membership function thereof at each hazard level, the following operations are specifically performed:
calculating the parameter values of each judgment index one by one with the corresponding membership function to generate a membership sequence of each judgment index;
taking the membership degree sequence of each judgment index as a row of matrix elements to generate a plurality of rows of matrix elements;
and constructing a hazard grade judgment matrix based on the multiple rows of matrix elements.
In the embodiment of the application, when receiving multiple detection information sent by multiple detectors in each area of a subway station, a pollutant hazard level judgment device firstly gives an alarm, then calculates parameter values of multiple judgment indexes according to the multiple detection information, then loads multiple membership functions of each judgment index in the multiple judgment indexes, constructs a hazard level judgment matrix according to the multiple membership functions and the corresponding parameter values, then loads the weight of each judgment index, and multiplies the weight of each judgment index and the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station, and finally determines the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station. According to the method and the device, the damage grade of each area of the subway station is determined by loading the membership function and the weight of each judgment index and calculating the damage grade judgment value by combining the specific parameter value of each judgment index, and meanwhile, support can be provided for evacuation measures of different areas in the subway station according to the damage grade of each area of the subway station, so that the emergency handling capacity and the safety guarantee level of the subway can be improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program to instruct associated hardware, and the process of determining the hazard level of the contaminant may be stored in a computer readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (10)
1. A method for determining a hazard level of a contaminant, the method comprising:
when receiving various detection information sent by various detectors in each area of the subway station, generating alarm information for early warning;
calculating parameter values of a plurality of judgment indexes according to the plurality of detection information, wherein the plurality of judgment indexes comprise an acute toxicity class, a skin injury class, an eye injury class, a respiratory sensitization class, a flammable and combustible class, pollutant concentration, passenger flow density and unit width passenger flow section flow rate;
loading a membership function of each judgment index in the plurality of judgment indexes under each damage grade, and constructing a damage grade judgment matrix according to the parameter value of each judgment index and the membership function of each judgment index under each damage grade;
loading the weight of each judgment index, and multiplying the weight of each judgment index by the hazard level judgment matrix to generate a hazard level judgment sequence of each area of the subway station;
and determining the hazard level of each area of the subway station based on the hazard level judgment sequence of each area of the subway station.
2. The method of claim 1, further comprising:
acquiring color display parameters of different hazard grades;
determining color display parameters corresponding to the hazard level of each area of the subway station according to the color parameters of different hazard levels;
generating a color image of each area of the subway station according to the color display parameters corresponding to the hazard level of each area of the subway station;
and sending the color image of each region to a corresponding client for displaying.
3. The method of claim 1, wherein the determining the hazard level for each area of the subway station based on the hazard level decision sequence for each area of the subway station comprises:
identifying a maximum probability hazard level judgment value of each area of the subway station from the hazard level judgment sequence of each area of the subway station;
and determining the hazard grade corresponding to the maximum probability hazard grade judgment value of each area of the subway station as the hazard grade of the area.
4. The method of claim 1, wherein the constructing a hazard level judgment matrix according to the parameter value of each judgment index and the membership function thereof at each hazard level comprises:
calculating the membership degree of each judgment index belonging to each hazard grade according to the parameter value of each judgment index and the membership function, and generating a membership degree sequence of each judgment index belonging to each hazard grade;
taking the membership degree sequence of each judgment index as a row of matrix elements to generate a plurality of rows of matrix elements;
and constructing a hazard grade judgment matrix based on the plurality of rows of matrix elements.
5. The method according to claim 1, wherein generating weights for each of the plurality of determination indicators according to the following steps comprises:
s401, determining a plurality of judgment indexes related to the hazard level;
s402, determining respective relative importance degree sequence of each judgment index in a plurality of judgment indexes, and constructing a priority relation matrix based on the priority order and the scale of the importance degrees;
s403, calculating an initial sorting vector of the priority relation matrix by adopting a square root method;
s404, calculating the maximum characteristic root of the initial sorting vector, and calculating the consistency ratio of the initial sorting vector according to the maximum characteristic root;
s405 determines whether the initial sorting vector is a weight of each of the plurality of decision metrics based on whether the consistency ratio satisfies a consistency check;
and if so, determining the initial sorting vector as the weight of each of the plurality of judgment indexes.
6. The method of claim 5, wherein determining whether the initial rank vector is a weight of each of the plurality of decision metrics based on whether the consistency ratio satisfies a consistency check comprises:
when the consistency ratio is less than or equal to a preset threshold value, judging that the consistency test is met, and determining the initial sorting vector as the respective weight of the plurality of judgment indexes;
and when the consistency ratio is larger than a preset threshold value, judging that the consistency test is not satisfied, and continuing to execute the steps S402-S405 until the consistency ratio is smaller than or equal to the preset threshold value, and determining the initial sorting vector satisfying the consistency test requirement as the weight of each of the plurality of judgment indexes.
7. The method of claim 1, wherein generating a plurality of membership functions for each of a plurality of decision indices at respective hazard levels comprises:
acquiring historical data of the various sensors in a preset period;
acquiring historical data corresponding to each judgment index from the historical data;
determining a threshold value of each judgment index which is subordinate to each hazard grade according to historical data corresponding to each judgment index;
and constructing a plurality of membership functions of each judgment index under each hazard level according to the threshold value of each judgment index which is subordinate to each hazard level.
8. The method of claim 1, wherein determining the gas concentration for a region comprises:
determining a preset three-dimensional detection interval corresponding to each gas detector in a three-dimensional space of the subway;
performing clustering calculation on the three-dimensional detection interval by adopting a K-means clustering algorithm to generate n interval division results of the subway three-dimensional terrain space;
and calculating the concentration of each type of gas in each interval, and finally performing weighted calculation on the concentration to generate the gas concentration of each interval.
9. An apparatus for determining a hazard level of a contaminant, the apparatus comprising:
the detection information receiving module is used for generating alarm information for early warning when receiving various detection information sent by various detectors in each area of the subway station;
the parameter value calculation module is used for calculating parameter values of a plurality of judgment indexes according to the plurality of detection information, wherein the plurality of judgment indexes comprise acute toxicity types, skin injury types, eye injury types, respiratory tract sensitization types, inflammable and explosive types, pollutant concentrations, passenger flow density and unit width passenger flow section flow rate;
the damage grade judgment matrix building module is used for loading a membership function of each judgment index in the plurality of judgment indexes under each damage grade and building a damage grade judgment matrix according to the parameter value of each judgment index and the membership function of each judgment index under each damage grade;
the hazard grade judgment value generation module is used for loading the weight of each judgment index, and multiplying the weight of each judgment index by the hazard grade judgment matrix to generate a hazard grade judgment sequence of each area of the subway station;
and the hazard grade determining module is used for determining the hazard grade of each area of the subway station based on the hazard grade judging sequence of each area of the subway station.
10. A terminal, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1-8.
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