CN117989702A - Peculiar smell monitoring, early warning and intelligent processing method, system and storage medium - Google Patents

Abstract

The invention discloses a peculiar smell monitoring, early warning and intelligent processing method, a peculiar smell monitoring, early warning and intelligent processing system and a storage medium, which belong to the technical field of data processing, wherein the method comprises the steps of arranging a plurality of monitoring units in a target area; the collecting unit collects a plurality of first monitoring data and sends the first monitoring data to the analyzing unit; the analysis unit identifies first boundary points in the monitoring unit, and positions second boundary points between the two first boundary points; giving second monitoring data to a second boundary point; connecting the adjacent monitoring units and the second boundary points with each other by using a first connecting line, and positioning a plurality of types of third boundary points on the first connecting line; the same type of third boundary points are connected to each other to divide the target area into a plurality of types of sub-areas, and the ventilation system of each type of sub-area operates at a predetermined load in advance. The invention can realize regional division, peculiar smell accurate early warning and intelligent treatment under the condition of arranging a small number of sensors, and simultaneously realize the aims of energy conservation and consumption reduction.

Description

Peculiar smell monitoring, early warning and intelligent processing method, system and storage medium

Technical Field

The invention belongs to the technical field of data processing, and particularly relates to an odor monitoring, early warning and intelligent processing method, an odor monitoring, early warning and intelligent processing system and a storage medium.

Background

In the production activities of buried water purifying plants, underground commercial spaces and the like, various peculiar smell gases are inevitably generated, and under the condition of insufficient ventilation conditions, the peculiar smell gases can accumulate in the closed space, so that potential harm is caused to human bodies. Therefore, in order to ensure the safety of production personnel, a ventilation system for exchanging outside air is required to be installed in facilities such as factories.

Because air has the characteristic of fluidity, and the areas of production workshops such as factories are larger, in order to achieve the purposes of energy conservation and environmental protection, the air concentration of a plurality of areas needs to be monitored, and ventilation and exhaust are carried out by adopting corresponding air quantity according to specific numerical values of the air concentration, as disclosed in a Chinese patent document CN113623837A, an air purification treatment control system and an air purification treatment control method are disclosed.

However, the technology is applied to a public toilet, has the characteristics of independent space, small area, special application scene and the like, and the boundary of the area is physically separated, and only one sensor is arranged in one room, so that air data obtained by monitoring is used as air data of the room, and then fans in each room are directly controlled according to the data; in large-scale buildings such as factories, a production workshop is generally constructed as a whole main body, the space area is large, the functional modules are various, no physical factors are divided inside, a large number of sensors with dense positions are required to be arranged for monitoring if accurate regional air monitoring is to be realized, so that the monitoring cost is greatly improved, the problem of unclear regional division can occur for a small number of sensors, and therefore, the air quality of each region in the factories is accurately measured in low cost, and the technical problem to be solved in the technical skill in the art is urgently.

Disclosure of Invention

The invention provides a method, a system and a storage medium for odor monitoring, early warning and intelligent processing, which are used for solving the problems in the background technology.

In order to achieve the above-mentioned object, the present invention provides a method for monitoring, pre-warning and intelligent treatment of odor, comprising:

arranging a plurality of monitoring units in a target area, and recording the position coordinates of each monitoring unit;

Setting a plurality of collecting units, wherein the collecting units collect first monitoring data of a plurality of monitoring units and send the first monitoring data to an analysis unit;

The analysis unit identifies a first boundary point in the monitoring unit based on the position coordinates, and positions a second boundary point between the two first boundary points, wherein the second boundary point is positioned on the boundary of the target area, the abscissa of the second boundary point positioned at the transverse boundary is calculated based on the abscissa adjacent to the first boundary point, and the ordinate of the second boundary point positioned at the longitudinal boundary is calculated based on the ordinate adjacent to the first boundary point;

Giving second monitoring data to the second boundary point, wherein the second monitoring data is an average value of the first monitoring data of the first boundary point adjacent to the second boundary point;

the analysis unit is used for connecting the monitoring units and the second boundary points which are adjacent in position with each other by using a first connecting line, and positioning a plurality of types of third boundary points on the first connecting line based on the first monitoring data or the second monitoring data corresponding to the two ends of the first connecting line;

The control unit connects the third boundary points of the same type with each other to divide the target area into a plurality of types of subareas, and the ventilation system of each type of subareas operates with a preset load and generates early warning information.

Further, identifying the first boundary point in the monitoring unit comprises the steps of:

The monitoring unit with the largest difference value of the horizontal coordinate is defined as a base point 1 and a base point 2, the monitoring unit with the largest difference value of the vertical coordinate is defined as a base point 3 and a base point 4, and the base point 1 is sequentially connected to the base point 4 by using a second connecting line to obtain a first contour;

defining the monitoring units outside the first outline as expansion points, measuring first distances between the expansion points and the second connecting lines, setting the second connecting line with the smallest first distances as a reference line of the expansion points, and selecting the expansion point with the largest first distances from the expansion points corresponding to the same reference line as a base point 5;

and reconnecting the base point 1 to the base point 5 to obtain a second contour, repeating the step until an Nth contour is obtained, and defining the monitoring units on the Nth contour as the first boundary points, wherein no monitoring units are positioned outside the Nth contour.

Further, locating the plurality of types of the third boundary points includes the steps of:

setting candidate points on the first connecting line at intervals of a second distance, and calculating a measured value of an mth candidate point based on a first formula The first formula is: /(I)Wherein/>AndThe first monitoring data or the second monitoring data are respectively at two ends of the first connecting line, and M is the number of the alternative points on the first connecting line;

Setting a plurality of numerical ranges, wherein each numerical range corresponds to one type, and dividing the first boundary point, the second boundary point and the alternative point into corresponding types based on the numerical range where the measured value is located, and the minimum extraction of the measured value or the monitoring data of the same type is defined as the third boundary point.

Further, the collecting unit is arranged based on the following steps:

Determining alternative positions of a plurality of collecting units, and generating a plurality of communication schemes based on the alternative positions, wherein the communication schemes comprise at least one communication route, and the first monitoring data passes through the collecting units in a preset sequence and then reaches the analyzing unit in the communication route;

calculating an evaluation value of each of the communication schemes based on a second formula The second formula is: wherein A is the number of the collecting units in the communication scheme, B is the number of the communication routes included in the collecting units, C is the maximum data receiving amount of the collecting units,/> 、/>、/>And setting the position of the collecting unit in the target area according to the communication scheme with the maximum evaluation value, wherein the first weight, the second weight and the third weight are preset respectively.

Further, generating the communication scheme based on the alternative location includes the steps of:

Dividing the target area into a plurality of grid areas, selecting a plurality of intersection points as the alternative positions, defining the data transmission direction of the monitoring unit towards the analysis unit as an optimal direction, mutually traversing and matching the collection units in the optimal direction to generate a plurality of communication routes, traversing and combining the communication routes, and generating a plurality of communication schemes.

Further, generating the early warning information includes the following steps:

If the subarea of the preset type appears, generating first alarm information pointing to the subarea, acquiring the third boundary points of the subarea formed at the current moment, and predicting the coverage range of the subarea at the first historical moment based on the historical data of each third boundary point at the first historical moment;

based on the outlines of the subareas and the coverage area, respectively acquiring a corresponding first center and a corresponding second center, and if a third distance between the first center and the second center is larger than a first threshold value, generating second alarm information pointing to the coverage area;

If the third distance between the first center and the second center is smaller than or equal to the first threshold, continuing to predict the coverage of the subarea at the second historical moment, positioning the third center of the coverage, continuing to judge based on the distance between the second center and the third center, and repeating the steps until the second alarm information is generated.

Further, predicting the coverage of the sub-region comprises the steps of:

Acquiring the measured values of the third boundary point at the current moment and the first historical moment, defining the measured values as first data and second data respectively, calculating the difference value of the first data and the second data of the same third boundary point, and distributing a fourth weight for the third boundary point, wherein the larger the difference value is, the larger the fourth weight distributed to the third boundary point is;

connecting each third boundary point with the first center by using a third connecting line, and calculating a fourth distance of an ith third boundary point based on a third formula The third formula is: /(I)Wherein v is a preset diffusion speed, t is a time interval between the current time and the first historical time,/>The fourth weight being the third boundary point;

And selecting a virtual point on the third connecting line, wherein the virtual point is separated from the third boundary point by the fourth distance, and the virtual points on the third connecting lines are connected to obtain the coverage range.

Further, five types of third boundary points are positioned on the first connecting line from low to high, the target area is divided into five types of sub-areas based on the third boundary points, and the loads of ventilation systems between adjacent types of sub-areas are different by 20%.

The invention also provides an odor monitoring, early warning and intelligent processing system, which is used for realizing the odor monitoring, early warning and intelligent processing method, and comprises the following steps:

the monitoring unit is used for collecting first monitoring data;

the collecting unit is used for collecting first monitoring data of the plurality of monitoring units and sending the first monitoring data to the analyzing unit;

an analysis unit that identifies a first boundary point in the monitoring unit based on a position coordinate of the monitoring unit, positions a second boundary point between the two first boundary points, the second boundary point being located on a boundary of the target area, wherein an abscissa of the second boundary point located at a lateral boundary is calculated based on an abscissa adjacent to the first boundary point, an ordinate of the second boundary point located at a longitudinal boundary is calculated based on an ordinate adjacent to the first boundary point, and gives the second boundary point second monitoring data that is an average value of the first monitoring data adjacent to the second boundary point, connects the monitoring unit and the second boundary point adjacent to each other using a first connection line, and positions a plurality of types of third boundary points on the first connection line based on the first monitoring data or the second monitoring data corresponding to both ends of the first connection line;

And the control unit is used for connecting the third boundary points of the same type to each other so as to divide the target area into a plurality of types of subareas, and the ventilation system of each type of subareas operates at a preset load and simultaneously generates early warning information.

The invention also provides a computer storage medium which stores program instructions, wherein the equipment where the computer storage medium is located is controlled to execute the odor monitoring, early warning and intelligent processing method when the program instructions run.

Compared with the prior art, the invention has the following beneficial effects:

After the arrangement of the monitoring units is completed, a virtual second boundary point is also arranged in the target area, so that the boundary point without a sensor can participate in the division of the subareas, and the accuracy of the division of the subareas is further improved; and then the monitoring unit and the second boundary points are connected with each other to obtain a plurality of first connecting lines and second connecting lines, on the basis, a plurality of types of third boundary points are positioned in the first connecting lines and the second connecting lines, and finally the same types of third boundary points are connected with each other, so that the target area is accurately divided into a plurality of types of subareas under the condition that the number of sensors is certain, corresponding operation loads can be set according to the types of the subareas, and the purposes of accurately controlling the load of a ventilation system, saving energy and reducing emission are achieved.

Drawings

FIG. 1 is a flow chart showing the steps of an odor monitoring, early warning and intelligent processing method according to the present invention;

FIG. 2 is a schematic diagram of the division of subregions according to the present invention;

FIG. 3 is a schematic diagram of the determination of a first boundary point according to the present invention;

FIG. 4 is a schematic diagram of the generation of a communication scheme of the present invention;

FIG. 5 is a schematic diagram of an odor monitoring, early warning and intelligent processing system according to the present invention.

Detailed Description

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of this disclosure.

As shown in fig. 1, a method for monitoring, early warning and intelligent treatment of odor includes:

step S1: and arranging a plurality of monitoring units in the target area, and recording the position coordinates of each monitoring unit.

The target area is the floor or ceiling of the production shop, the monitoring unit is a sensor for monitoring air quality, and is limited by various physical factors in the production shop, the monitoring unit cannot be uniformly and dispersedly arranged in the target area, and the adjustment is required according to actual conditions, for example, in fig. 2, a is the target area, and a circle included in the sensor is the arrangement position of the monitoring unit.

Step S2: a plurality of collecting units are arranged, and the collecting units collect first monitoring data of the plurality of monitoring units and send the first monitoring data to an analyzing unit.

The first monitoring data are air quality data actually collected by the monitoring unit, and the positions of the monitoring units in the target area are scattered, and the transmission distance of the monitoring units is limited, so that the data of a plurality of monitoring units need to be collected by the collecting unit and then sent to the analyzing unit for subsequent analysis.

Step S3: the analysis unit identifies a first boundary point in the monitoring unit based on the position coordinates, positions a second boundary point between the two first boundary points, the second boundary point being located on the boundary of the target area, wherein the abscissa of the second boundary point located at the lateral boundary is calculated based on the abscissas of the adjacent first boundary points, and the ordinate of the second boundary point located at the longitudinal boundary is calculated based on the ordinates of the adjacent first boundary points.

With continued reference to fig. 2, the positioning portion monitoring unit is a first boundary point, where the shadow area is a positioned first boundary point, and a determination manner of the first boundary point is described later; the second boundary point p3 is located in the first boundary points p1 and p2, the second boundary point is represented by a pentagon in the figure, the second boundary point p3 is located on the boundary of the target area a, and the second boundary point p3 is located at the middle point of the first boundary points p1 and p2 in the vertical direction, that is, the ordinate of the second boundary point p3 can be calculated based on the ordinate of the adjacent first boundary points p1 and p2, and the specific calculation mode can be deduced from basic mathematical knowledge and is not repeated herein.

Step S4: and giving second monitoring data to the second boundary point, wherein the second monitoring data is an average value of the first monitoring data of the first boundary point adjacent to the second boundary point.

The second monitoring data is calculated by the first monitoring data, if the first monitoring data of the first boundary points p1 and p2 are 10 and 6, the second monitoring data of the second boundary point p3 is the average value of the two, and is 8

Step S5: the analysis unit connects the adjacent monitoring units and the adjacent second boundary points through a first connecting line, and positions a plurality of types of third boundary points on the first connecting line based on first monitoring data or second monitoring data corresponding to two ends of the first connecting line.

In fig. 2, the solid line is a first connection line, and since two ends of the first connection line are the monitoring units or the second boundary points, the first monitoring data or the second monitoring data are corresponding to each other, and according to the difference value of the monitoring data at two ends, the change condition of the monitoring data on the connection line can be presumed; in the present embodiment, the third boundary points of five types 1 to 5 in total are defined.

Step S6: the control unit connects the same type of third boundary points with each other to divide the target area into a plurality of types of sub-areas, and the ventilation system of each type of sub-area operates with a predetermined load in advance while generating early warning information.

In fig. 2, r1, r2, r3 and r4 are third boundary points of type 5, so that the third boundary points r1, r2, r3 and r4 are connected to each other to obtain a sub-area S, and the embodiment presets an operation load of 5 ventilation systems, wherein the type1 sub-area stops operating, the type2 sub-area operates at 20% load, the type 3 sub-area operates at 40% load, the type 4 sub-area operates at 60% load, and the type 5 sub-area operates at 80% load; the ventilation system in the coverage type 3 sub-area S is thus operated at 80% load.

Because the sensor is not generally arranged in the area boundary in practice, the subareas are generated only through the first connection between the monitoring units, and the monitoring dead zone is likely to exist.

After the arrangement of the monitoring units is completed, a virtual second boundary point is also arranged in the target area, so that the boundary point without a sensor can participate in the division of the subareas, and the accuracy of the division of the subareas is further improved; and then the monitoring unit and the second boundary points are connected with each other to obtain a plurality of first connecting lines and second connecting lines, on the basis, a plurality of types of third boundary points are positioned in the first connecting lines and the second connecting lines, and finally the same types of third boundary points are connected with each other, so that the target area is accurately divided into a plurality of types of subareas under the condition that the number of sensors is certain, corresponding operation loads can be set according to the types of the subareas, and the purposes of accurately controlling the load of a ventilation system, saving energy and reducing emission are achieved.

Particularly, the invention can accurately realize the region division under the condition of arranging a small number of sensors, thereby solving the problems in the prior art.

The identifying of the first boundary point in the monitoring unit according to the present embodiment includes the steps of:

The monitoring unit with the largest difference of the horizontal coordinate is defined as a base point 1 and a base point 2, the monitoring unit with the largest difference of the vertical coordinate is defined as a base point 3 and a base point 4, and the base point 1 is sequentially connected to the base point 4 by using a second connecting line to obtain a first contour.

Defining a monitoring unit positioned outside the first contour as an expansion point, measuring a first distance between the expansion point and each second connecting line, setting a second connecting line with the smallest first distance as a reference line of the expansion point, and selecting the expansion point with the largest first distance from the expansion points corresponding to the same reference line as a base point 5;

And (3) reconnecting the base point 1 to the base point 5 to obtain a second contour, repeating the step until an Nth contour is obtained, and defining the monitoring unit on the Nth contour as a first boundary point when no monitoring unit is positioned outside the Nth contour.

Referring to fig. 3, it is apparent from fig. 3 that the difference in horizontal coordinates between the base point 1 and the base point 2 is maximum, and the difference in vertical coordinates between the base point 3 and the base point 4 is maximum, so that the base points 1 to 4 are connected using a second connection line (dotted line in the figure), thereby obtaining a first contour.

At this time, there are 3 monitoring units located outside the first contour, so these 3 units are named expansion points q1-q3, respectively, and it can also be seen that, among all the second connection lines, the second connection line distances between the expansion points q1-q3 and the base points 1 and 4 are shortest, so this second connection line is set as a reference line. Further, the expansion point q3 is farthest from the reference line, that is, the first distance is largest, and thus the expansion point q3 is defined as the base point 5. Finally, the base points 1-5 are reconnected to obtain a second contour (not shown in the figure), and it can be deduced that no monitoring unit is located outside the second contour, so that the base points 1-5 are the first boundary points to be found.

According to the method, the first boundary points in the monitoring units can be determined quickly according to the position relation among the monitoring units only by inputting the coordinates of the monitoring units when the method is used, and compared with a manual marking mode, the method provided by the invention greatly improves the use convenience of the system.

The positioning of the third boundary points of the plurality of types according to the present embodiment includes the steps of:

Setting candidate points at a second distance each other on the first connection line, calculating a measured value of an mth candidate point based on the first formula The first formula is: /(I)Wherein/>And/>The first monitoring data or the second monitoring data are respectively arranged at two ends of the first connecting line, and M is the number of the alternative points on the first connecting line.

Setting a plurality of numerical ranges, wherein each numerical range corresponds to one type, and based on the numerical range where the measured value is located, defining a first boundary point, a second boundary point and an alternative point as corresponding types, and extracting the measured value or the monitoring data of the same type with minimum value and defining the extracted measured value or the monitoring data as a third boundary point.

With continued reference to fig. 2, taking the first connection line between the first boundary points p1 and p2 as an example, where the second distance is set to 1, and the length of the first connection line between the first boundary points p1 and p2 is 10, there are 9 candidate points on the first connection line, where the value of M is 9, X1 corresponds to the first monitored data of the first boundary point p1, X2 corresponds to the first monitored data of the first boundary point p2, and the measured values of the 1 st to 9 th candidate points can be obtained by substituting the first monitored data into the first formula.

The present embodiment sets a numerical range 1-5, totaling 5 kinds of numerical ranges, corresponding to types 1-5, such as numerical range 1 including 1-10, wherein the values of the first boundary point p1 and the alternative point 1-3 are in the range, then the first boundary point p1 and the alternative point 1-3 are defined as type 1, and then the first boundary point p1 is extracted as the third boundary point of the type 1 on the first connecting line because the value of the first monitoring data of the first boundary point p1 is the smallest. Similarly, where the range of values 2 includes 10-20, and the value of candidate point 4-7 is within the range, then candidate point 4-7 is delineated as type 2, and then candidate point 4 is extracted as the third boundary point of type 2 on the first connection line because the value of the measurement of candidate point 4 is the smallest.

The present embodiment sets the collection unit based on the following steps:

the method comprises the steps of determining alternative positions of a plurality of collecting units, generating a plurality of communication schemes based on the alternative positions, wherein the communication schemes comprise at least one communication route, and enabling first monitoring data to reach an analyzing unit after passing through the collecting units according to a preset sequence in the communication route.

As shown in fig. 4, if there are monitoring units G1 and G2, to send the first monitoring data collected by themselves to the analysis unit F, and the alternative positions D1-D4 are determined in advance, then a communication scheme 1 may be generated, which includes a communication route, where G1 and G2 send data to D1 and D1 to F; the communication scheme 2 comprises two communication routes, wherein the first route is G1, D3 and F, the second route is G2, D4 and D4, the first route is G1, D3 and F, the second route is G2, D4 and D4; communication scheme 3, including a communication route where G1 sends data to D1, G2 sends data to D2, D1 and D2 send data to D3, D3 to F, and other various communication schemes are not listed here.

Calculating an evaluation value of each communication scheme based on the second formulaThe second formula is: Wherein A is the number of collecting units in the communication scheme, B is the number of communication routes included in the collecting units, C is the maximum data receiving amount of the collecting units,/> 、/>、/>And setting the position of the collecting unit in the target area according to the communication scheme with the largest evaluation value for the preset first weight, second weight and third weight respectively.

As can be seen from the second formula, the more collection units are set in the communication scheme, the more communication routes are included, the lower the calculated evaluation value is, the maximum data receiving amount is that of counting the data receiving amounts of the collection units, the data receiving amount with the largest value is selected to be C, for example, in the communication scheme 1, the collection units at the position D3 can collect the data of the two monitoring units, and therefore the data amount received by the collection units at the position D3 is substituted into the calculation as the character C in the second formula.

If a small number of collection units are provided, the data receiving amount of a certain collection unit is increased, which also reduces the balance evaluation value; as in the communication scheme 2, although the collection units are arranged more, the data amount transmitted and received by each collection unit is less; the collection unit and communication route of communication scheme 1 is small, but D1 is subject to a large transceiving pressure because it receives data from both monitoring units.

The embodiment generates a communication scheme based on the alternative location, including the steps of:

Dividing the target area into a plurality of grid areas, selecting a plurality of intersection points as alternative positions, defining the data transmission direction of the monitoring unit towards the analysis unit as an optimal direction, mutually traversing and matching the collection units in the optimal direction to generate a plurality of communication routes, traversing and combining the communication routes, and generating a plurality of communication schemes.

With continued reference to FIG. 4, the alternative locations D1-D4 selected in FIG. 4 are determined in advance based on the sending distance of the monitoring unit and the sending distance of the collecting unit; by setting the generation of the optimal direction limiting portion communication route, the data does not occur to D1 as the alternative position D2 because this is not the optimal direction. Then the following communication route, communication route 1, is generated: g1 and G2 send data to D1, D1 to D2, D2 to D3, D3 to D4, D4 to F; communication route 2: g1 sends data to D1, D1 sends data to D3, and D3 sends data to F; communication route 3: g2 sends data to D2, D2 sends data to D3, D3 sends data to F; wherein, route 2 and route 3 can be combined into a communication scheme to jointly complete the transmission of the data to the monitoring units G1 and G2.

The method for generating the early warning information comprises the following steps:

if the subarea of the preset type appears, generating first alarm information pointing to the subarea, acquiring third boundary points of the subarea formed at the current moment, and predicting coverage range of the subarea at the first historical moment based on historical data of all the third boundary points at the first historical moment.

The preset type is type 5, and when the subarea of type 5 appears, first alarm information is generated, specifically including paying attention to the area with the gas concentration exceeding the standard in the factory building, paying attention to timely evacuating the area and paying attention to precaution.

Referring to fig. 2, assuming that the type 5 sub-region at the current time is S, locating third boundary points r1-r4 forming the sub-region S, and then acquiring measured values of r1-r4 at the current time, and in particular, if the third boundary points are monitoring units, acquiring first monitoring data of the monitoring units; setting the first historical time as the time before the current time for 10 minutes, for example, the current time is 14:20, and the first historical time is 14:10, so that the coverage of the type 5 at 14:20 is the subarea S, the coverage of the type 5 at 14:10 should be within the subarea S, the specific scheme of estimating the coverage of the type 5 at the first historical time is introduced later, and the estimated coverage is assumed to be Y.

Based on the outlines of the subareas and the coverage areas, corresponding first centers and second centers are respectively obtained, and if the third distance between the first centers and the second centers is larger than a first threshold value, second alarm information pointing to the coverage areas is generated.

If the third distance between the first center and the second center is smaller than or equal to the first threshold, continuing to predict the coverage of the sub-region at the second historical moment, positioning the third center of the coverage, continuing to judge based on the distance between the second center and the third center, and repeating the steps until second alarm information is generated.

The first center of the sub-area S and the second center of the coverage area Y are calculated, in this embodiment, the center of mass is defined as the center, and if the distance between the first center and the second center is greater than the first threshold value, second alarm information pointing to the coverage area Y is generated, where the second alarm information is that harmful gas leakage may occur in the area Y, and please withdraw as soon as possible. If the gas coverage is less than or equal to the first threshold, continuing to execute the step to estimate the gas coverage at 14:00 based on the coverage area.

Because the gas generally has irregularities of which the range is rapidly enlarged and the diffusion range in the initial diffusion process, if the gas is in the rapid diffusion stage, a certain distance should be reserved between centers calculated at two moments; otherwise, if the distances between the two centers are similar, the two times are both stages of slow stable gas diffusion, so that the tracing needs to be continued.

The method for predicting the coverage of the subarea according to the embodiment comprises the following steps:

And acquiring measured values of the third boundary point at the current moment and the first historical moment, defining the measured values as first data and second data respectively, calculating a difference value of the first data and the second data of the same third boundary point, and distributing a fourth weight for the third boundary point, wherein the larger the difference value is, the larger the fourth weight distributed to the third boundary point is.

Referring to FIG. 2, the measured values of the third boundary points r1-r4 at 14:20 are acquired, defined as first data, and the measured values at 14:10 are defined as second data; then calculating the difference value of the first data and the second data of a third boundary point r1, calculating the difference value of the first data and the second data of a third boundary point r2 until r4 is calculated, and finally distributing a fourth weight for the third boundary points r1-r4 according to the difference value, wherein the larger the calculated difference value of the third boundary point is, the larger the distributed fourth weight is; the larger the difference, the faster the gas concentration change speed at the third boundary point, which also indicates the faster the diffusion speed.

Connecting each third boundary point with the first center by using a third connecting line, and calculating a fourth distance of the ith third boundary point based on a third formulaThe third formula is: /(I)Wherein v is a preset diffusion speed, t is a time interval between the current time and the first historical time,/>And a fourth weight for the third boundary point.

And selecting virtual points on the third connecting lines, separating the virtual points from the third boundary points by a fourth distance, and connecting the virtual points on each third connecting line to obtain coverage.

In this embodiment, t is 10, v is 2, and the third weight is 0.2, then the fourth distance is 4, and it can be known from the third formula that the larger the fourth weight is, the larger the calculated fourth distance is. Assuming that the first center point of the sub-area S is O, the third boundary point r1 is connected to the first center point by using a third connecting line (not shown in the figure), a virtual point is set at a position which is 4 from the third boundary point r1 on the third connecting line, and similarly, after the third boundary points r2, r3, r4 are connected to the first center point by using O, the virtual points are similarly located on the generated third connecting line, and finally, the located virtual points are connected to each other, thereby obtaining the coverage area at the first history time.

In this embodiment, five types of third boundary points are located on the first connecting line from low to high, the target area is divided into five types of sub-areas based on the third boundary points, and the loads of the ventilation systems between the adjacent types of sub-areas differ by 20%.

The invention also provides an odor monitoring, early warning and intelligent processing system, which is used for realizing the odor monitoring, early warning and intelligent processing method, and comprises the following steps:

the monitoring unit is used for collecting first monitoring data;

The collecting unit is used for collecting first monitoring data of the plurality of monitoring units and sending the first monitoring data to the analyzing unit;

The analysis unit is used for identifying a first boundary point in the monitoring unit based on the position coordinates of the monitoring unit, positioning a second boundary point between the two first boundary points, wherein the second boundary point is positioned on the boundary of the target area, the abscissa of the second boundary point positioned on the transverse boundary is calculated based on the abscissa of the adjacent first boundary point, the ordinate of the second boundary point positioned on the longitudinal boundary is calculated based on the ordinate of the adjacent first boundary point, the analysis unit is used for endowing the second boundary point with second monitoring data, the second monitoring data is the average value of the first monitoring data of the first boundary point adjacent to the second boundary point, the monitoring unit adjacent to the second boundary point is connected with the second boundary point by using a first connecting line, and a plurality of types of third boundary points are positioned on the first connecting line based on the first monitoring data or the second monitoring data corresponding to the two ends of the first connecting line;

And the control unit is used for connecting third boundary points of the same type to each other so as to divide the target area into a plurality of types of subareas, and the ventilation system of each type of subareas operates at a preset load and simultaneously generates early warning information.

The invention also provides a computer storage medium which stores program instructions, wherein the equipment where the computer storage medium is located is controlled to execute the odor monitoring, early warning and intelligent processing method when the program instructions run.

It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.

The technical features of the foregoing embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, they should be considered as the scope of the disclosure as long as there is no contradiction between the combinations of the technical features.

The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (10)

1. The peculiar smell monitoring, early warning and intelligent processing method is characterized by comprising the following steps:

arranging a plurality of monitoring units in a target area, and recording the position coordinates of each monitoring unit;

Setting a plurality of collecting units, wherein the collecting units collect first monitoring data of a plurality of monitoring units and send the first monitoring data to an analysis unit;

The analysis unit identifies a first boundary point in the monitoring unit based on the position coordinates, and positions a second boundary point between the two first boundary points, wherein the second boundary point is positioned on the boundary of the target area, the abscissa of the second boundary point positioned at the transverse boundary is calculated based on the abscissa adjacent to the first boundary point, and the ordinate of the second boundary point positioned at the longitudinal boundary is calculated based on the ordinate adjacent to the first boundary point;

Giving second monitoring data to the second boundary point, wherein the second monitoring data is an average value of the first monitoring data of the first boundary point adjacent to the second boundary point;

the analysis unit is used for connecting the monitoring units and the second boundary points which are adjacent in position with each other by using a first connecting line, and positioning a plurality of types of third boundary points on the first connecting line based on the first monitoring data or the second monitoring data corresponding to the two ends of the first connecting line;

The control unit connects the third boundary points of the same type with each other to divide the target area into a plurality of types of subareas, and the ventilation system of each type of subareas operates with a preset load and generates early warning information.

2. The odor monitoring and early warning and intelligent processing method according to claim 1, wherein identifying the first boundary point in the monitoring unit comprises the steps of:

The monitoring unit with the largest difference value of the horizontal coordinate is defined as a base point 1 and a base point 2, the monitoring unit with the largest difference value of the vertical coordinate is defined as a base point 3 and a base point 4, and the base point 1 is sequentially connected to the base point 4 by using a second connecting line to obtain a first contour;

defining the monitoring units outside the first outline as expansion points, measuring first distances between the expansion points and the second connecting lines, setting the second connecting line with the smallest first distances as a reference line of the expansion points, and selecting the expansion point with the largest first distances from the expansion points corresponding to the same reference line as a base point 5;

and reconnecting the base point 1 to the base point 5 to obtain a second contour, repeating the step until an Nth contour is obtained, and defining the monitoring units on the Nth contour as the first boundary points, wherein no monitoring units are positioned outside the Nth contour.

3. The odor monitoring, early warning and intelligent processing method according to claim 1, wherein locating the third boundary points of multiple types comprises the steps of:

setting candidate points on the first connecting line at intervals of a second distance, and calculating a measured value of an mth candidate point based on a first formula The first formula is: /(I)Wherein/>And/>The first monitoring data or the second monitoring data are respectively at two ends of the first connecting line, and M is the number of the alternative points on the first connecting line;

Setting a plurality of numerical ranges, wherein each numerical range corresponds to one type, and dividing the first boundary point, the second boundary point and the alternative point into corresponding types based on the numerical range where the measured value is located, and the minimum extraction of the measured value or the monitoring data of the same type is defined as the third boundary point.

4. The odor monitoring, early warning and intelligent processing method according to claim 1, wherein the collecting unit is configured based on the steps of:

Determining alternative positions of a plurality of collecting units, and generating a plurality of communication schemes based on the alternative positions, wherein the communication schemes comprise at least one communication route, and the first monitoring data passes through the collecting units in a preset sequence and then reaches the analyzing unit in the communication route;

calculating an evaluation value of each of the communication schemes based on a second formula The second formula is: wherein A is the number of the collecting units in the communication scheme, B is the number of the communication routes included in the collecting units, C is the maximum data receiving amount of the collecting units,/> 、/>、/>And setting the position of the collecting unit in the target area according to the communication scheme with the maximum evaluation value, wherein the first weight, the second weight and the third weight are preset respectively.

5. The odor monitoring and early warning and intelligent treatment method according to claim 4, wherein generating the communication scheme based on the alternative location comprises the steps of:

Dividing the target area into a plurality of grid areas, selecting a plurality of intersection points as the alternative positions, defining the data transmission direction of the monitoring unit towards the analysis unit as an optimal direction, mutually traversing and matching the collection units in the optimal direction to generate a plurality of communication routes, traversing and combining the communication routes, and generating a plurality of communication schemes.

6. A method of odor monitoring and early warning and intelligent treatment according to claim 3, wherein generating the early warning information comprises the steps of:

If the subarea of the preset type appears, generating first alarm information pointing to the subarea, acquiring the third boundary points of the subarea formed at the current moment, and predicting the coverage range of the subarea at the first historical moment based on the historical data of each third boundary point at the first historical moment;

based on the outlines of the subareas and the coverage area, respectively acquiring a corresponding first center and a corresponding second center, and if a third distance between the first center and the second center is larger than a first threshold value, generating second alarm information pointing to the coverage area;

If the third distance between the first center and the second center is smaller than or equal to the first threshold, continuing to predict the coverage of the subarea at the second historical moment, positioning the third center of the coverage, continuing to judge based on the distance between the second center and the third center, and repeating the steps until the second alarm information is generated.

7. The odor monitoring and early warning and intelligent treatment method according to claim 6, characterized in that predicting said coverage of said sub-area comprises the steps of:

Acquiring the measured values of the third boundary point at the current moment and the first historical moment, defining the measured values as first data and second data respectively, calculating the difference value of the first data and the second data of the same third boundary point, and distributing a fourth weight for the third boundary point, wherein the larger the difference value is, the larger the fourth weight distributed to the third boundary point is;

connecting each third boundary point with the first center by using a third connecting line, and calculating a fourth distance of an ith third boundary point based on a third formula The third formula is: /(I)Wherein v is a preset diffusion speed, t is a time interval between the current time and the first historical time,/>The fourth weight being the third boundary point;

And selecting a virtual point on the third connecting line, wherein the virtual point is separated from the third boundary point by the fourth distance, and the virtual points on the third connecting lines are connected to obtain the coverage range.

8. The odor monitoring, early warning and intelligent processing method according to claim 1, characterized in that five types of third boundary points are positioned on the first connecting line from low to high, the target area is divided into five types of the subareas based on the third boundary points, and the load difference of ventilation systems between adjacent types of subareas is 20%.

9. An odor monitoring, early warning and intelligent processing system for implementing an odor monitoring, early warning and intelligent processing method as defined in any one of claims 1-8, comprising:

the monitoring unit is used for collecting first monitoring data;

the collecting unit is used for collecting first monitoring data of the plurality of monitoring units and sending the first monitoring data to the analyzing unit;

an analysis unit that identifies a first boundary point in the monitoring unit based on a position coordinate of the monitoring unit, positions a second boundary point between the two first boundary points, the second boundary point being located on a boundary of the target area, wherein an abscissa of the second boundary point located at a lateral boundary is calculated based on an abscissa adjacent to the first boundary point, an ordinate of the second boundary point located at a longitudinal boundary is calculated based on an ordinate adjacent to the first boundary point, and gives the second boundary point second monitoring data that is an average value of the first monitoring data adjacent to the second boundary point, connects the monitoring unit and the second boundary point adjacent to each other using a first connection line, and positions a plurality of types of third boundary points on the first connection line based on the first monitoring data or the second monitoring data corresponding to both ends of the first connection line;

And the control unit is used for connecting the third boundary points of the same type to each other so as to divide the target area into a plurality of types of subareas, and the ventilation system of each type of subareas operates at a preset load and simultaneously generates early warning information.

10. A computer storage medium, wherein the computer storage medium stores program instructions, and when the program instructions are executed, the computer storage medium is controlled to perform an odor monitoring, early warning and intelligent processing method according to any one of claims 1 to 8.