CN111157680B

CN111157680B - Indoor volatile substance leakage tracing method and device

Info

Publication number: CN111157680B
Application number: CN201911421482.7A
Authority: CN
Inventors: 周成龙; 陈涛; 陈雷; 袁宏永; 苏国锋
Original assignee: Beijing Weiyute Technology Development Co ltd; Tsinghua University; Beijing Global Safety Technology Co Ltd
Current assignee: Beijing Weiyute Technology Development Co ltd; Tsinghua University; Beijing Global Safety Technology Co Ltd
Priority date: 2019-12-31
Filing date: 2019-12-31
Publication date: 2021-10-26
Anticipated expiration: 2039-12-31
Also published as: WO2021136450A1; CN111157680A

Abstract

The disclosure provides a leakage tracing method and device for indoor volatile substances, wherein the method comprises the following steps: acquiring volatile substance information of each monitoring point in a room; determining a concentration increase time period of at least one component according to volatile substance information of the monitoring points aiming at each monitoring point; determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of each component at each monitoring point; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to the concentration information in the concentration increasing time period; according to the time vector sequence and the amplitude vector sequence corresponding to the components, whether the components leak and the leakage points and the leakage time points of the components are determined, so that manual participation can be avoided, the labor cost is reduced, the leakage problem can be timely detected and traced, and the detection efficiency is improved.

Description

Indoor volatile substance leakage tracing method and device

Technical Field

The disclosure relates to the technical field of data processing, in particular to a leakage tracing method and device for indoor volatile substances.

Background

At present, the leakage Detection method of indoor volatile substances is to detect And obtain leakage points by adopting a leakage Detection And Repair technology (LDAR) proposed by the United states environmental protection agency. The above method has the following two disadvantages: one is that a regular detection mode is adopted, so that the leakage problem is difficult to find in time; the other is that need the manual work to carry detecting instrument and patrol and examine potential leakage point, and the human cost is high, and detection efficiency is poor.

Disclosure of Invention

The present disclosure is directed to solving, at least to some extent, one of the technical problems in the related art.

Therefore, a first objective of the present disclosure is to provide a method for tracing leakage of indoor volatile substances, which is used to solve the problems in the prior art that it is difficult to find the leakage problem in time, the labor cost is high, and the detection efficiency is poor.

A second object of the present disclosure is to propose a leakage tracing device for indoor volatile substances.

A third object of the present disclosure is to provide an electronic device.

A fourth object of the present disclosure is to provide a computer-readable storage medium.

In order to achieve the above object, a first embodiment of the present disclosure provides a method for tracing leakage of indoor volatile materials, including:

volatile substance information of each monitoring point in a room is acquired, and the volatile substance information comprises: information on the concentration of at least one component of the volatile substance at each collection time point;

for each monitoring point, determining a concentration rise time period of the at least one component according to volatile matter information of the monitoring point; the concentration increasing time period is a time period meeting a preset increasing condition;

for each component in the at least one component, determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of the component at each monitoring point; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to concentration information in a concentration increasing time period;

and determining whether the component has leakage, and a leakage point and a leakage time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component.

Further, the preset increasing condition is a time period in which the number of time points at which the density information continuously rises is greater than or equal to a first number threshold, the number of time points at which the density information continuously falls is less than or equal to a second number threshold, and the increment of the density information is greater than or equal to the first increment threshold.

Further, the determining, for each monitoring point, a time period of increased concentration of the at least one component based on the volatile material information of the monitoring point comprises:

for each component of each monitoring point, acquiring concentration information of the component at any two adjacent acquisition time points; the adjacent acquisition time points comprise: the device comprises a first acquisition time point and a second acquisition time point, wherein the first acquisition time point is smaller than the second acquisition time point;

when the difference value between the concentration information of the second acquisition time point and the concentration information of the first acquisition time point is greater than 0, carrying out increment marking on the second acquisition time point; when the difference value between the concentration information of the second acquisition time point and the concentration information of the first acquisition time point is less than or equal to 0, performing decrement marking on the second acquisition time point to generate a marking sequence corresponding to the component;

judging whether increment marks of a continuous first quantity threshold exist in the increment mark sequence;

determining a time point of a first one of consecutive first number threshold increment indicia as a starting time point of a concentration increase time period when there are consecutive first number threshold increment indicia in the sequence of increment indicia;

determining whether a decrement flag of a consecutive second quantity threshold exists after the start time point in the increment flag sequence;

determining a time point of a last decrement flag among decrement flags of consecutive second number thresholds as an end time point of a density increasing period when there is a decrement flag of consecutive second number thresholds after the start time point in the increment flag sequence;

judging whether the concentration information increment of the concentration increasing time period determined according to the starting time point and the ending time point is larger than or equal to a first increment threshold value or not;

and when the increment of the concentration information of the concentration increasing time period determined according to the starting time point and the ending time point is larger than or equal to a first increment threshold value, taking the determined concentration increasing time period as the concentration increasing time period of the component.

Further, the determining, for each component of the at least one component, a time vector sequence and a magnitude vector sequence corresponding to each component according to the concentration rise time period of the component at each monitoring point includes:

clustering concentration rise time periods of all components of all monitoring points by combining a preset clustering algorithm and an initial time point to obtain a plurality of clusters; the number of the clusters is the maximum concentration rise time period number of each component in the volatile substance information of each monitoring point;

in each cluster, aiming at each component of each monitoring point, selecting the concentration increase time period with the earliest starting time point as the concentration increase time period of the component of the monitoring point;

in each cluster, aiming at each component, sequencing each monitoring point according to the starting time point of the concentration increasing time period and the concentration information increment respectively to obtain a time vector sequence and an amplitude vector sequence corresponding to the component.

Further, in each cluster, for each component of each monitoring point, selecting the concentration increase time period with the earliest starting time point as the time period before the concentration increase time period of the component of the monitoring point, further comprising:

in each cluster, judging whether each component meets a leakage tracing condition or not; the leakage tracing condition is that the number of monitoring points in the time period of the concentration rise of the component in the cluster is greater than a third number threshold; the third quantity threshold is determined according to the quantity of potential leakage points and the quantity threshold of leakage tracing monitoring points;

if the component meets the leakage tracing condition, determining that the component needs to be subjected to leakage tracing operation, and acquiring a time vector sequence and an amplitude vector sequence corresponding to the component;

and if the component does not meet the leakage tracing condition, determining that the component does not need to be subjected to leakage tracing operation, and stopping obtaining the time vector sequence and the amplitude vector sequence corresponding to the component.

Further, the determining whether the component has a leak and a leak point and a leak time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component includes:

obtaining a leak database, the leak database comprising: a time reference vector sequence and an amplitude reference vector sequence when each component leaks at each leakage point;

determining the leakage probability of the components at each leakage point according to the time vector sequence and the amplitude vector sequence corresponding to the components and the time reference vector sequence and the amplitude reference vector sequence of the components at each leakage point in the leakage database;

determining whether the component leaks and the leakage points of the component according to the leakage probability of the component at each leakage point;

and when the component has leakage, determining the starting time point of the concentration rising time period of the component at the first monitoring point in the corresponding time vector sequence as the leakage time point of the component.

Further, the determining the leakage probability of the component at each leakage point according to the time vector sequence and the amplitude vector sequence corresponding to the component, and the time reference vector sequence and the amplitude reference vector sequence of the component at each leakage point in the leakage database includes:

for each leak of the component in the leak database, determining a first leak probability for the leak based on the time reference vector sequence of the leak and the time vector sequence of the component;

determining a second leakage probability of the leakage point according to the amplitude reference vector sequence of the leakage point and the amplitude vector sequence of the component;

and performing weighted summation on the first leakage probability and the second leakage probability to determine the leakage probability of the component at the leakage point.

Further, the calculation method of the first leakage probability and the second leakage probability is any one of the following methods, or a weighted sum of calculation results of a plurality of methods: euclidean distance calculation and vector included angle cosine degree calculation.

Further, the determining whether the component leaks and the leakage point of the component according to the probability of the component leaking at each leakage point comprises:

sequencing the leakage points according to the leakage probability of the components at the leakage points;

and when the leakage probability of the leakage points with the preset number ranked in the front is larger than a preset probability threshold value, determining that the component has leakage, and determining the leakage points with the preset number ranked in the front as the leakage points of the component.

Further, volatile substance information of each monitoring point is acquired by a mass spectrometer;

the volatile substance information of each indoor monitoring point is obtained, and the method comprises the following steps:

acquiring volatile substance information acquired by a mass spectrometer at each monitoring point in a room;

generating a concentration curve corresponding to at least one component of the volatile substance according to the concentration information of the at least one component at each collection time point;

and carrying out noise reduction, moving average filtering and isomer combination on the concentration curve corresponding to the at least one component to obtain volatile substance information of each monitoring point.

The indoor volatile substance leakage tracing method provided by the embodiment of the disclosure comprises the following steps of obtaining volatile substance information of each indoor monitoring point, wherein the volatile substance information comprises: information on the concentration of at least one component of the volatile substance at each collection time point; determining a concentration increase time period of at least one component according to volatile substance information of the monitoring points aiming at each monitoring point; the concentration rise time period is a time period satisfying a preset rise condition; for each component in at least one component, determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of the component at each monitoring point; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to the concentration information in the concentration increasing time period; according to the time vector sequence and the amplitude vector sequence corresponding to the components, whether the components leak and the leakage points and the leakage time points of the components are determined, so that manual participation can be avoided, the labor cost is reduced, the leakage problem can be timely detected and traced, and the detection efficiency is improved.

To achieve the above object, a second embodiment of the present disclosure provides a leakage tracing device for indoor volatile materials, including:

the acquisition module is used for acquiring volatile substance information of each indoor monitoring point, and the volatile substance information comprises: information on the concentration of at least one component of the volatile substance at each collection time point;

the first determination module is used for determining a concentration rise time period of the at least one component according to volatile matter information of each monitoring point; the concentration increasing time period is a time period meeting a preset increasing condition;

the second determination module is used for determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of the component at each monitoring point aiming at each component in the at least one component; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to concentration information in a concentration increasing time period;

and the third determining module is used for determining whether the component has leakage or not, and a leakage point and a leakage time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component.

Further, the first determining module is specifically configured to, for each component at each monitoring point, obtain concentration information of the component at any two adjacent acquisition time points; the adjacent acquisition time points comprise: the device comprises a first acquisition time point and a second acquisition time point, wherein the first acquisition time point is smaller than the second acquisition time point;

Further, the second determining module is specifically configured to cluster concentration increase time periods of components at each monitoring point by combining a preset clustering algorithm and an initial time point to obtain a plurality of clusters; the number of the clusters is the maximum concentration rise time period number of each component in the volatile substance information of each monitoring point;

Further, the second determining module is specifically further configured to, in each cluster, determine, for each component, whether the component satisfies a leak tracing condition; the leakage tracing condition is that the number of monitoring points in the time period of the concentration rise of the component in the cluster is greater than a third number threshold; the third quantity threshold is determined according to the quantity of potential leakage points and the quantity threshold of leakage tracing monitoring points;

Further, the third determining module is specifically configured to obtain a leakage database, where the leakage database includes: a time reference vector sequence and an amplitude reference vector sequence when each component leaks at each leakage point;

Further, the third determining module is specifically configured to, for each leak of the component in the leak database, determine a first leak probability of the leak according to the time reference vector sequence of the leak and the time vector sequence of the component;

Further, the third determining module is specifically configured to rank, according to the leakage probability of the component at each leakage point, each leakage point;

correspondingly, the acquisition module is specifically used for acquiring volatile substance information acquired by a mass spectrometer at each monitoring point in a room;

The indoor volatile substance's of this disclosed embodiment device of tracing to source leaks through the volatile substance information who acquires indoor each monitoring point, and volatile substance information includes: information on the concentration of at least one component of the volatile substance at each collection time point; determining a concentration increase time period of at least one component according to volatile substance information of the monitoring points aiming at each monitoring point; the concentration rise time period is a time period satisfying a preset rise condition; for each component in at least one component, determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of the component at each monitoring point; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to the concentration information in the concentration increasing time period; according to the time vector sequence and the amplitude vector sequence corresponding to the components, whether the components leak and the leakage points and the leakage time points of the components are determined, so that manual participation can be avoided, the labor cost is reduced, the leakage problem can be timely detected and traced, and the detection efficiency is improved.

To achieve the above object, an embodiment of a third aspect of the present disclosure provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for tracing the leakage of a volatile substance in a chamber as described above.

In order to achieve the above object, a fourth aspect of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for tracing the leakage of a volatile substance in a room as described above.

Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.

Drawings

The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

fig. 1 is a schematic flow chart illustrating a method for tracing leakage of indoor volatile substances according to an embodiment of the present disclosure;

FIG. 2 is a schematic illustration of a concentration profile corresponding to at least one component;

FIG. 3 is a schematic diagram showing a comparison of a concentration curve after noise reduction and moving average filtering processing and a concentration curve before processing;

FIG. 4 is a graph showing a comparison of the concentration curve before the merging of isomers with the concentration curve after the merging of isomers;

FIG. 5 is a schematic illustration of a concentration rise period;

FIG. 6 is a schematic flow chart illustrating another method for tracing the leakage of indoor volatile substances according to an embodiment of the present disclosure;

FIG. 7 is a schematic flow chart illustrating another method for tracing the leakage of indoor volatile substances according to an embodiment of the present disclosure;

FIG. 8 is a schematic view of a leak tracing apparatus for indoor volatile substances according to an embodiment of the present disclosure;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure.

The method and apparatus for tracing the leakage of a volatile substance in a chamber according to embodiments of the present disclosure will now be described with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of a leakage tracing method for indoor volatile substances according to an embodiment of the present disclosure. As shown in fig. 1, the method mainly comprises the following steps:

s101, obtaining volatile substance information of each indoor monitoring point, wherein the volatile substance information comprises: information on the concentration of at least one component of the volatile substance at each collection time point.

The execution main body of the leakage tracing method for the indoor volatile substance provided by the disclosure is a leakage tracing device for the indoor volatile substance, and the leakage tracing device for the indoor volatile substance can be specifically a hardware device or software installed in the hardware device. The hardware device may be, for example, a terminal device, a server, or the like.

In this application, the volatile substances are easily leaked from indoor places such as a pump room of a chemical industry park. The volatile substance may be benzene, toluene, pentane, or the like.

In this application, volatile substance information at each monitoring point is collected by a mass spectrometer. Under the condition that volatile substance information is collected by a mass spectrometer, due to the problems of measurement of the mass spectrometer and the characteristics of indoor leakage, the volatile substance concentration information measured in indoor spaces such as a pump room has the problems of discrete points, oscillation, isomer separation errors and the like. Therefore, the process of executing step 101 by the indoor volatile substance leakage tracing device may specifically be to acquire volatile substance information acquired by the mass spectrometer at each monitoring point in the room; generating a concentration curve corresponding to at least one component according to the concentration information of the at least one component of the volatile substance at each collection time point; and carrying out noise reduction, moving average filtering and isomer combination on the concentration curve corresponding to at least one component to obtain volatile substance information of each monitoring point. A schematic diagram of a concentration curve corresponding to at least one component may be shown in fig. 2.

In this application, the concentration curve is also referred to as concentration signal. Wherein the noise reduction is signal average noise reduction of the density signal. For example, for a segment of the mass spectrometer concentration signal I, the average value is

Standard deviation is sigma, and noise reduction reference is set to be S_dnJudging whether the concentration value at each moment is

If the range is exceeded, the sum of the points is set as the corresponding evaluation criterion range threshold. And carrying out noise reduction processing on the original value V of each point of the concentration signal I to obtain Vdn.

In the application, the moving average filtering can be regarded as an average value of values of the variable in a past period of time, and compared with direct assignment of the variable, the value obtained by the moving average is more gentle and smooth on an image, the jitter is smaller, and the moving average value cannot greatly fluctuate due to abnormal values of a certain time. The method has good inhibition effect on periodic interference, has high smoothness and is suitable for a high-frequency oscillation system. Fig. 3 is a schematic diagram showing a comparison between the density curve after the noise reduction and the moving average filtering process and the density curve before the noise reduction and the moving average filtering process. The curve with large fluctuation is the concentration curve before treatment, and the curve with small fluctuation is the concentration curve after treatment.

In the present application, since it is difficult for a mass spectrometer to accurately separate isomers such as n/isopentane (C5H12), n/isohexane (C6H14), and n/isoheptane (C7H16), which is shown in a concentration signal, there are temporally consistent mutation points of the isomers of the group, and the sum of the two components has no mutation, so that the separation error greatly interferes with signal processing. In response to this problem, the present application combines the concentration signals of the isomers to eliminate the interference caused by separation errors of the set of isomers. FIG. 4 is a graph showing the comparison between the concentration curve before the isomer is combined and the concentration curve after the isomer is combined. Wherein, the curve at the top of fig. 4 is the concentration curve after merging the isomers; the two curves at the bottom of figure 4 are the concentration curves before the isomers are combined.

S102, determining a concentration rise time period of at least one component according to volatile substance information of each monitoring point; the concentration increase period is a period in which a preset increase condition is satisfied.

In this application, the preset increasing condition may be a time period in which the number of time points at which the concentration information continuously rises is greater than or equal to a first number threshold, the number of time points at which the concentration information continuously falls is less than or equal to a second number threshold, and the increment of the concentration information is greater than or equal to the first increment threshold. Wherein the first number threshold is greater than the second number threshold.

In the application, after the leakage starts, the concentration information of the adjacent monitoring points gradually rises, and the rising process is continuous oscillation rising. Therefore, when determining the concentration increase time period, it is necessary to specify the number and size of time points of continuous increase and to be able to tolerate the falling phase in the oscillation. For example, by

Concentration information indicating the component n at the time m of the ith monitor point,

indicating a period of time for which the concentration of component n at time m for the ith monitoring point increases. The preset rising condition is that the number of the continuous rising time points is more than S_nAt an initial time point T_sTo the end time point T_eThe increment of the internal concentration information is greater than or equal to S_aAnd wherein the number of successive falling time points is less than S_mThe time period of (a). Wherein, T_sRepresents an initial time point of the rise period; t is_eRepresents an end time point of the rise period; s_nRepresenting a first quantity threshold; s_mRepresents a second quantity threshold; s_aRepresenting a first delta threshold.

Correspondingly, in the present application, the process of performing the step 102 of tracing the leakage of the indoor volatile substance may specifically be that, for each component of each monitoring point, concentration information of the component at any two adjacent acquisition time points is obtained; the adjacent acquisition time points include: the device comprises a first acquisition time point and a second acquisition time point, wherein the first acquisition time point is smaller than the second acquisition time point; when the difference value between the concentration information of the second acquisition time point and the concentration information of the first acquisition time point is greater than 0, carrying out increment marking on the second acquisition time point; when the difference value between the concentration information of the second acquisition time point and the concentration information of the first acquisition time point is less than or equal to 0, performing decrement marking on the second acquisition time point to generate a marking sequence corresponding to the component; judging whether the increment marks of continuous first quantity threshold exist in the increment mark sequence; determining a time point of a first one of the consecutive first number threshold of incremental markers as a starting time point of the concentration increase time period when there are consecutive first number threshold of incremental markers in the sequence of incremental markers; judging whether a decrement mark of a continuous second number threshold exists after the initial time point in the increment mark sequence; determining a time point of a last decrement flag among decrement flags of consecutive second number thresholds as an end time point of the density increasing period when there is a decrement flag of consecutive second number thresholds after a start time point in the increment flag sequence; judging whether the increment of the concentration information of the concentration increasing time period determined according to the starting time point and the ending time point is larger than or equal to a first increment threshold value or not; when the increase in the density information of the density increase period determined from the start time point and the end time point is equal to or greater than a first increase threshold value, the determined density increase period is taken as the density increase period of the component. A schematic diagram of the concentration increase time period may be shown in fig. 5, for example.

If the decrement flag continuing to the second number threshold does not exist up to the end of the increment flag sequence, the time point of the last flag at the end of the increment flag sequence is determined as the end time point.

In the present application, the concentration-increasing period does not exist for every component. When the concentration rising time period of a certain component is not determined according to the volatile matter information of the monitoring point, the component is determined not to leak, and the tracing is not needed.

S103, determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of each component at each monitoring point aiming at each component in at least one component; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to the concentration information in the concentration increasing time period.

In the present application, the process of the step 103 executed by the indoor volatile substance leakage tracing apparatus can specifically refer to fig. 6, which includes the following steps:

s1031, clustering concentration rise time periods of all components of all monitoring points by combining a preset clustering algorithm and an initial time point to obtain a plurality of clusters; the number of clusters is the number of periods of maximum concentration rise of each component in the volatile material information for each monitoring point.

The preset clustering algorithm may be, for example, a K-means algorithm.

S1032, in each cluster, for each component of each monitor point, selecting the concentration increase period with the earliest start time point as the concentration increase period of the component of the monitor point.

In this application, supposing that indoor potential leakage point quantity is x, the quantity of monitoring point is y, and after a certain position took place to leak in theory indoor, all monitoring points finally responded to this leakage. But in some cases only some of the monitoring points within the chamber will respond significantly to the leak. Therefore, it is necessary to first determine whether each component in each cluster satisfies the leakage tracing condition. In order to determine whether the leak tracing condition is satisfied, before step 1032, step 103 may further include the following steps: in each cluster, judging whether the components meet leakage tracing conditions or not according to each component; the leakage tracing condition is that the number of monitoring points of the concentration rising time period of the components existing in the cluster is larger than a third number threshold; the third quantity threshold is determined according to the quantity of the potential leakage points and the quantity threshold of the leakage tracing monitoring points; if the components meet the leakage tracing condition, determining that the components need to be subjected to leakage tracing operation, and acquiring a time vector sequence and an amplitude vector sequence corresponding to the components; and if the component does not meet the leakage tracing condition, determining that the component does not need to be subjected to leakage tracing operation, and stopping obtaining the time vector sequence and the amplitude vector sequence corresponding to the component.

S1033, in each cluster, aiming at each component, sequencing each monitoring point according to the starting time point of the concentration increasing time period and the concentration information increment respectively to obtain a time vector sequence and an amplitude vector sequence corresponding to the component.

And S104, determining whether the component has leakage, and a leakage point and a leakage time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component.

Fig. 7 is a schematic flow chart of another method for tracing the leakage of indoor volatile substances according to an embodiment of the present disclosure. As shown in fig. 7, step 104 may further include the following steps based on the embodiment shown in fig. 1:

s1041, acquiring a leakage database, wherein the leakage database comprises: a sequence of time reference vectors and a sequence of magnitude reference vectors for each component when leaking at the respective leak.

In the application, because the position of the indoor monitoring point is fixed, multiple leakage at the same position shows that the concentration data collected at the monitoring point has the common characteristic. The common characteristic is embodied in the timing of the rise and the magnitude of the rise of the component concentration signal of the volatile substance at each monitoring point. If the common characteristic is obtained as the reference characteristic for comparison, the characteristic obtained after the actual measurement volatile substance information processing can be compared with the reference characteristic of each leakage situation, and the leakage probability of the leakage situation closest to the characteristic is the maximum. Based on the logic, the method can be used for carrying out three-dimensional modeling on the indoor pump room area and describing the geometric structure where the leakage point is located in detail; performing computational meshing on the three-dimensional model; simulating the condition that each leakage point leaks; and processing the result obtained by the simulation to obtain the concentration signal curve of the volatile substances at each monitoring point under various leakage conditions. And extracting the time and the rising amplitude of concentration rising caused by leakage in each curve, obtaining the time reference vector sequence and the amplitude reference vector sequence of each monitoring point after the leakage of the leakage point occurs after sequencing, and storing the time reference vector sequence and the amplitude reference vector sequence into a leakage database.

S1042, according to the time vector sequence and the amplitude vector sequence corresponding to the components, and the time reference vector sequence and the amplitude reference vector sequence of the components at each leakage point in the leakage database, determining the leakage probability of the components at each leakage point.

In this application, the process of the indoor volatile substance leakage tracing apparatus executing step 1042 may specifically be that, for each leakage point of the components in the leakage database, a first leakage probability of the leakage point is determined according to the time reference vector sequence of the leakage point and the time vector sequence of the components; determining a second leakage probability of the leakage point according to the amplitude reference vector sequence and the amplitude vector sequence of the component of the leakage point; and performing weighted summation on the first leakage probability and the second leakage probability to determine the leakage probability of the component at the leakage point. The calculation method of the first leakage probability and the second leakage probability is any one of the following methods, or the weighted summation of the calculation results of the methods: euclidean distance calculation and vector included angle cosine degree calculation.

For example, assume that the time vector sequence corresponding to the component is V₁(V1, V2, …, vn) indicates that the time reference vector sequence of the component at the ith leak point in the leak database is V_i(vi1, vi2, … vin), the calculation formula of the first leakage probability may be as shown in the following formulas (1) to (4).

Wherein p is_diRepresenting the Euclidean distance between the time reference vector sequence of the component at the ith leakage point and the time vector sequence of the component; p is a radical of_θiAnd calculating a vector angle cosine between the time reference vector sequence of the component at the ith leakage point and the time vector sequence of the component. To p_diAnd p_θiAnd carrying out weighted summation or averaging to obtain the first leakage probability. In addition, the second leakage probability calculation method may refer to the first leakage probability calculation method described above, in which the time vector sequence in the first leakage probability calculation method is replaced with the amplitude vector sequence, and the time basis vector sequence in the first leakage probability calculation method is replaced with the amplitude basis vector sequence.

In the application, since the concentration information increment of each monitoring point may be inconsistent at different stages of leakage, and the lifting time sequence is relatively fixed, a larger weight may be given to the first leakage probability, and the default setting is 0.7.

And S1043, determining whether the component leaks or not and the leakage point of the component according to the leakage probability of the component at each leakage point.

In this application, the process of the indoor volatile substance leakage tracing apparatus to execute step 1043 may specifically be that, according to the leakage probability of the components at each leakage point, each leakage point is sequenced; and when the leakage probability of the leakage points with the preset number ranked in the front is larger than a preset probability threshold value, determining that the component has leakage, and determining the leakage points with the preset number ranked in the front as the leakage points of the component.

And S1044, when the component leaks, determining the starting time point of the concentration rising time period of the component at the first monitoring point in the corresponding time vector sequence as the leakage time point of the component.

The indoor volatile substance leakage tracing method provided by the embodiment of the disclosure comprises the following steps of obtaining volatile substance information of each indoor monitoring point, wherein the volatile substance information comprises: information on the concentration of at least one component of the volatile substance at each collection time point; determining a concentration increase time period of at least one component according to volatile substance information of the monitoring points aiming at each monitoring point; the concentration rise time period is a time period satisfying a preset rise condition; for each component in at least one component, determining a time vector sequence and an amplitude vector sequence corresponding to each component according to the concentration rise time period of the component at each monitoring point; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to the concentration information in the concentration increasing time period; obtaining a leak database, the leak database comprising: a time reference vector sequence and an amplitude reference vector sequence when each component leaks at each leakage point; determining the leakage probability of the components at each leakage point according to the time vector sequence and the amplitude vector sequence corresponding to the components and the time reference vector sequence and the amplitude reference vector sequence of the components at each leakage point in the leakage database; according to the leakage probability of the components at each leakage point, whether the components have leakage and the leakage points of the components are determined, when the components have leakage, the initial time point of the concentration rise time period of the components at the first monitoring point in the corresponding time vector sequence is determined as the leakage time point of the components, so that manual participation can be avoided, the labor cost is reduced, the leakage problem can be timely detected and traced to the source, and the detection efficiency is improved.

Fig. 8 is a schematic structural diagram of a leakage tracing device for indoor volatile substances according to an embodiment of the disclosure. As shown in fig. 8, includes: an acquisition module 81, a first determination module 82, a second determination module 83, and a third determination module 84.

Wherein, obtain module 81 for obtain the volatile substances information of indoor each monitoring point, volatile substances information includes: information on the concentration of at least one component of the volatile substance at each collection time point;

a first determination module 82, configured to determine, for each monitoring point, a concentration increase time period of the at least one component according to volatile substance information of the monitoring point; the concentration increasing time period is a time period meeting a preset increasing condition;

a second determining module 83, configured to determine, for each component in the at least one component, a time vector sequence and a magnitude vector sequence corresponding to each component according to a concentration increase time period of the component at each monitoring point; the time vector sequence is obtained by sequencing all monitoring points in an ascending manner according to the starting time point of the concentration increasing time period; the amplitude vector sequence is obtained by sequencing each detection point in a descending order according to concentration information in a concentration increasing time period;

and a third determining module 84, configured to determine whether the component has a leak, and a leak point and a leak time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component.

On the basis of the above embodiment, the preset increasing condition is a time period in which the number of time points at which the density information continuously rises is equal to or greater than a first number threshold, the number of time points at which the density information continuously falls is equal to or less than a second number threshold, and the increment of the density information is greater than the first increment threshold.

On the basis of the foregoing embodiment, the first determining module 82 is specifically configured to, for each component at each monitoring point, obtain concentration information of the component at any two adjacent acquisition time points; the adjacent acquisition time points comprise: the device comprises a first acquisition time point and a second acquisition time point, wherein the first acquisition time point is smaller than the second acquisition time point;

On the basis of the foregoing embodiment, the second determining module 83 is specifically configured to perform clustering on the concentration increase time periods of the components at each monitoring point in combination with a preset clustering algorithm and an initial time point to obtain a plurality of clusters; the number of the clusters is the maximum concentration rise time period number of each component in the volatile substance information of each monitoring point;

On the basis of the foregoing embodiment, the second determining module 83 is further specifically configured to, in each cluster, determine, for each component, whether the component satisfies the leakage tracing condition; the leakage tracing condition is that the number of monitoring points in the time period of the concentration rise of the component in the cluster is greater than a third number threshold; the third quantity threshold is determined according to the quantity of potential leakage points and the quantity threshold of leakage tracing monitoring points;

On the basis of the foregoing embodiment, the third determining module 84 is specifically configured to obtain a leakage database, where the leakage database includes: a time reference vector sequence and an amplitude reference vector sequence when each component leaks at each leakage point;

On the basis of the foregoing embodiment, the third determining module 84 is specifically configured to, for each leak point of the components in the leak database, determine a first leak probability of the leak point according to the time reference vector sequence of the leak point and the time vector sequence of the components;

On the basis of the above embodiment, the calculation method of the first leakage probability and the second leakage probability is any one of the following methods, or a weighted sum of calculation results of multiple methods: euclidean distance calculation and vector included angle cosine degree calculation.

On the basis of the foregoing embodiment, the third determining module 84 is specifically configured to rank, according to the leakage probability of the component at each leakage point, the leakage points;

On the basis of the embodiment, the volatile substance information of each monitoring point is acquired by a mass spectrometer; correspondingly, the obtaining module 81 is specifically configured to obtain volatile substance information collected by a mass spectrometer at each monitoring point in the room;

It should be noted that, for the description of each module in the present application, reference may be made to the method embodiments shown in fig. 1 to fig. 7, and a detailed description thereof will not be provided herein.

Referring now to FIG. 9, shown is a schematic diagram of an electronic device 800 suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 9, the electronic device 800 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 801 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the electronic apparatus 800 are also stored. The processing apparatus 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

Generally, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage 808 including, for example, magnetic tape, hard disk, etc.; and a communication device 809. The communication means 809 may allow the electronic device 800 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 800 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 809, or installed from the storage means 808, or installed from the ROM 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to:

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The present disclosure also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of leak tracing of indoor volatile substances as described above.

The present disclosure also provides a computer program product, which when executed by an instruction processor of the computer program product, implements the method for tracing the leakage of indoor volatile substances as described above.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.

The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.

Claims

1. A method for tracing the leakage of indoor volatile substances is characterized by comprising the following steps:

determining whether the component has leakage and a leakage point and a leakage time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component,

wherein the determining whether the component has a leak and a leak point and a leak time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component comprises:

2. The method according to claim 1, wherein the preset increasing condition is a period of time in which the number of time points at which the density information continuously rises is equal to or greater than a first number threshold, the number of time points at which the density information continuously falls is equal to or less than a second number threshold, and the increment of the density information is equal to or greater than a first increment threshold.

3. The method of claim 2, wherein determining, for each monitoring point, a time period of elevated concentration of the at least one component based on volatile material information for the monitoring point comprises:

4. The method of claim 1, wherein determining, for each component of the at least one component, a time vector sequence and a magnitude vector sequence corresponding to each component according to a concentration rise time period of the component at each monitoring point comprises:

5. The method according to claim 4, wherein in each cluster, for each component of each monitoring point, selecting a concentration increase period with an earliest starting time point as a time period before a concentration increase period of the component of the monitoring point, further comprises:

6. The method of claim 1, wherein determining the leakage probability of the component at each leakage point based on the time vector series and the magnitude vector series corresponding to the component and the time reference vector series and the magnitude reference vector series of the component at each leakage point in the leakage database comprises:

7. The method of claim 6, wherein the first leakage probability and the second leakage probability are calculated by any one of the following methods or by a weighted sum of the calculation results of the methods: euclidean distance calculation and vector included angle cosine degree calculation.

8. The method of claim 1, wherein determining whether the component has a leak and the leak of the component based on the probability of the component leaking at each leak comprises:

9. The method of claim 1, wherein the volatile substance information for each monitoring point is collected by a mass spectrometer;

10. An indoor volatile substance leakage tracing device, comprising:

a third determining module, configured to determine whether the component has a leak and a leak point and a leak time point of the component according to the time vector sequence and the amplitude vector sequence corresponding to the component,

11. An electronic device, comprising:

memory, processor and computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements a method of leak tracing of a room volatile substance according to any of claims 1-9.

12. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out a method for tracing the leakage of a volatile substance from a chamber according to any one of claims 1 to 9.