CN117236661B - Dangerous waste dumping data management system and method based on artificial intelligence - Google Patents

Dangerous waste dumping data management system and method based on artificial intelligence Download PDF

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CN117236661B
CN117236661B CN202311508886.6A CN202311508886A CN117236661B CN 117236661 B CN117236661 B CN 117236661B CN 202311508886 A CN202311508886 A CN 202311508886A CN 117236661 B CN117236661 B CN 117236661B
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distance
dumping
height
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pouring
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CN117236661A (en
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陈森
王婷婷
俞学如
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Nanjing Institute Of Ecological Environmental Protection
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Nanjing Institute Of Ecological Environmental Protection
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Abstract

The invention discloses an artificial intelligence-based dangerous waste dumping data management system and method, and belongs to the technical field of equipment control. The system comprises a data acquisition module, a data processing module, an operation management module and a data storage module; the data acquisition module is used for acquiring dangerous waste information, dumping height, image information and historical records; the data processing module analyzes the image information, identifies the worker closest to the pouring point, judges whether sputtering risks exist, and dynamically calculates equipment parameters according to the distance between the worker and the pouring point; the operation management module controls dumping equipment through equipment parameters and controls the projection lamp to project a dangerous area and an early warning area on the ground; the data storage module is used for storing data in each pouring process as a history record. According to the invention, the position of the staff is monitored in real time, the dumping height in the dumping process is dynamically calculated, the staff is prevented from being dangerously sputtered, and the dumping efficiency is improved as much as possible.

Description

Dangerous waste dumping data management system and method based on artificial intelligence
Technical Field
The invention relates to the technical field of equipment control, in particular to a dangerous waste dumping data management system and method based on artificial intelligence.
Background
Hazardous waste refers to waste that is potentially harmful to human health and the environment, including waste that is toxic, harmful, flammable, explosive, corrosive, etc. The disposal of hazardous waste is critical to environmental protection and personnel safety, and dumping is a common disposal method during hazardous waste disposal. However, due to the different properties of hazardous waste, a sputtering phenomenon may occur during the dumping process, so that the waste is sputtered too far, and the personnel may be injured. Therefore, the sputtering distance is accurately estimated, the safety of personnel is protected, and the method becomes one of the important problems of dangerous waste treatment.
Currently, some studies have been conducted on the problem of sputtering during the process of dumping hazardous waste. One method is to measure the sputtering distance of different types of dangerous wastes at different dumping heights through experiments, and then analyze and fit the sputtering distance according to experimental data to obtain the relation between the sputtering distance and the dumping height. Another method is to estimate the sputtering distance by modeling the hydrodynamic behavior during the dumping of hazardous waste using a numerical modeling method. However, these methods have some problems. The experimental method requires a lot of experimental data and time costs, and the results may be limited by experimental conditions. The numerical simulation method needs to build a complex mathematical model, and for different types of dangerous wastes, the simulation and calculation are needed again, the calculation process is complex and time-consuming, and the method can not be flexibly applied according to actual scenes, and the proper dumping height can not be selected. Therefore, a simple, accurate and practical method is needed to evaluate the sputtering distance, protect personnel safety and improve the dumping efficiency.
Disclosure of Invention
The invention aims to provide an artificial intelligence-based dangerous waste dumping data management system and method, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the system comprises a data acquisition module, a data processing module, an operation management module and a data storage module.
The data acquisition module is used for acquiring dangerous waste information, dumping height, image information and historical records; the data processing module analyzes the image information, identifies a worker closest to the dumping point, judges whether sputtering risks exist, and dynamically calculates equipment parameters according to the distance between the worker and the dumping point; the operation management module controls dumping equipment through equipment parameters and controls a projection lamp to project a dangerous area and an early warning area on the ground; the data storage module is used for storing data in each pouring process as a history record.
The data acquisition module comprises a dangerous waste information acquisition unit, a dumping height acquisition unit, an image information acquisition unit and a history record acquisition unit.
The dangerous waste information acquisition unit is used for acquiring dangerous waste identifiers of the liquid dangerous waste dumped this time, and the dangerous waste identifiers are used for distinguishing different types of liquid dangerous waste.
Because different types of liquid hazardous wastes have different density, viscosity and other attributes, hazardous waste identifiers are needed to be used for distinguishing during information acquisition, and later calculation is facilitated.
The pouring height acquisition unit is used for acquiring the pouring height of the pouring equipment in the operation process in real time, wherein the pouring height refers to the height difference between a pouring container and a pouring container in the pouring process, and the pouring equipment controls the pouring height.
The image information acquisition unit acquires video information around the dumping point in real time through a camera arranged above the dumping point.
The history record collecting unit is used for collecting all history dumping records, and each history dumping record comprises dangerous waste information, dumping height and maximum sputtering distance; the maximum sputtering distance refers to the furthest distance that hazardous waste splashes out during dumping at different dumping heights.
The historical dumping record is dumping height change information of the dangerous waste corresponding to the dangerous waste identifier in the whole dumping process, wherein one or more dumping heights exist and the maximum sputtering distance corresponding to each dumping height. The pouring heights are controlled by the pouring device, and usually for a period of time, the furthest distance that hazardous waste splashes out during the pouring process is taken as the maximum sputtering distance, and each pouring height corresponds to one maximum sputtering distance. When a larger sputtering distance occurs at the same dumping height corresponding to the same hazardous waste identifier, the hazardous waste identifier should be taken as the maximum sputtering distance of the dumping height corresponding to the same hazardous waste identifier.
The data processing module comprises a sputtering distance analysis unit and an equipment parameter analysis unit.
The sputtering distance analysis unit is used for calculating and analyzing the maximum sputtering distance.
Firstly, the collected video information is decomposed into image frames, each image frame is analyzed by the OpenCV technology, a worker nearest to the dumping point is identified and found, and the actual distance between the worker and the dumping point is measured and calculated to be used as a worker distance.
And secondly, acquiring dangerous waste identifiers of the dumped liquid dangerous waste, searching all records corresponding to the dangerous waste identifiers in a history record, correlating the dumping height in each record with the corresponding maximum sputtering distance to obtain correlation data, and fitting the correlation data to obtain a relational formula.
And setting a minimum dumping height, searching in the associated data, judging whether the associated data with the same dumping height exist, if so, taking the maximum sputtering distance in the corresponding associated data as a dangerous distance, and if not, substituting the minimum dumping height into a relational formula, and calculating to obtain the corresponding maximum sputtering distance as the dangerous distance.
The minimum pouring height is set according to the performance of the pouring device, the minimum pouring height being the lowest possible pouring height of the pouring device.
And finally, setting a safety distance, adding the safety distance to the dangerous distance to obtain an early warning distance, judging whether the personnel distance is smaller than the early warning distance, if so, the sputtering risk exists, and if not, the sputtering risk does not exist.
In the process of analyzing the image frames, the method also comprises the identification and judgment of sputtered objects; when identifying the sputtered object, measuring the distance between the sputtered object and the pouring point, judging whether the distance is larger than the corresponding maximum sputtering distance under the current pouring height, if not, not processing; and if so, replacing the distance with the corresponding maximum sputtering distance at the current dumping height, and fitting again to obtain a new relation formula.
Because the information acquired by the camera in real time is video information, each image frame needs to be analyzed, the calculated personnel distance can be changed continuously along with the walking of the staff, the lowest dumping height is a fixed value, the calculated maximum sputtering distance is a fixed value, and the safety distance is also a fixed value, so that the early warning distance is fixed, whether the changed personnel distance is smaller than the early warning distance is continuously judged, and the timely discovery of the sputtering risk is realized.
The maximum sputtering distance is calculated by a formula obtained by fitting actual measurement data, and because the sputtering distance is possibly exceeding the calculated maximum sputtering distance in the actual dumping process, the safety distance needs to be set as a buffer when the sputtering distance breaks through the maximum sputtering distance, the specific value is set by an administrator, when the calculation result of the formula for fitting the early-stage data is less and the calculation result of the formula for fitting the later-stage data is less and the safety distance is required to be set larger, and when the calculation result of the formula for fitting the later-stage data is more and the safety distance can be properly reduced.
The device parameter analysis unit is used for calculating device parameters and analyzing the device parameters. When there is a sputtering risk, setting the device parameters to zero; when the sputtering risk does not exist, the personnel distance is calculated in real time, the personnel distance is subtracted from the safety distance to be used as the maximum sputtering distance, the search is carried out in the associated data, whether the associated data with the same maximum sputtering distance exist or not is judged, if so, the dumping height in the corresponding associated data is set as the equipment parameter, if not, the maximum sputtering distance is substituted into the relational expression, and the calculated dumping height is set as the equipment parameter.
Since different properties of hazardous waste result in different maximum sputtering distances even at the same dumping height, each hazardous waste identifier corresponds to a different relational formula. When the pouring device is used for pouring, the relation formula can represent the variation trend of the maximum sputtering distance of the corresponding hazardous waste along with the pouring height.
The operation management module comprises a dumping control unit and a range prompting unit.
The pouring control unit controls the pouring equipment through the equipment parameters, and when the equipment parameters are zero, the pouring equipment stops running; when the equipment parameter is not zero, the pouring equipment controls the pouring height according to the equipment parameter.
The dumping height is changed in real time according to the personnel distance and the sputter distance. When the sputter exceeds the maximum sputter distance, the relational formula changes and the pouring height changes. When the staff approaches the dumping point, the dumping height is controlled to be changed when the staff distance is smaller than the early warning distance, so that the early warning distance is reduced, and the dumping equipment is controlled to stop running when the early warning distance cannot be reduced, so that the safety of the staff is protected. When the staff keeps away from the toppling point, and staff distance is greater than the early warning distance, control topples over the altitude and changes to increase the early warning distance, improve and topple over efficiency.
The range prompting unit displays the dangerous area and the early warning area in a projection mode. Dividing a circular area as a dangerous area by taking the position of the dumping point as a circle center and the dangerous distance as a radius; likewise, the position of the dumping point is taken as the circle center, the early warning distance is taken as the radius, and a circular area is divided to be taken as the early warning area; the area of the dangerous area is smaller than that of the early warning area, and the dangerous area and the early warning area are concentric circles; the peripheral edge parts of the dangerous area and the early warning area are visually displayed in a laser projection mode, the dangerous area adopts red laser projection, the early warning area adopts green laser projection, and the dangerous area and the early warning area with different side lengths are calculated and projected according to different dumping heights.
The data storage module is used for collecting dangerous waste information, dumping height and maximum sputtering distance in each dumping process and storing the data as a history record.
An artificial intelligence-based dangerous waste dumping data management method comprises the following steps:
s1, when a dumping device is started, automatically collecting dangerous waste information and a history record;
s2, acquiring position information of staff around the pouring point, and comprehensively judging whether sputtering risks exist;
S3, acquiring the distance between the staff and the dumping point in real time, and setting equipment parameters;
s4, controlling the operation of dumping equipment through equipment parameters, and displaying different areas in a projection mode;
and S5, after the pouring is finished, collecting information in the pouring process and storing the information as a history record.
In S1, dangerous waste information refers to a dangerous waste identifier, wherein the dangerous waste identifier is used for distinguishing dangerous wastes of different types, and the dangerous wastes of different types have different attributes; the history record refers to information records of each pouring, and each record comprises dangerous waste information, pouring height and maximum sputtering distance; the pouring height refers to the height difference between the pouring container and the pouring container in the pouring process, and the maximum sputtering distance refers to the farthest distance of the hazardous waste splashed out in the pouring process under different pouring heights.
In S2, the specific steps are as follows:
s201, acquiring video information around a dumping point in real time through a camera arranged above the dumping point, decomposing the acquired video information into image frames, and analyzing each image frame by adopting an OpenCV technology; and identifying and finding the worker nearest to the dumping point, and measuring and calculating the actual distance between the worker and the dumping point to serve as the distance between the worker and the dumping point.
S202, acquiring dangerous waste identifiers, searching all information records corresponding to the dangerous waste identifiers in a history record, correlating the dumping height and the maximum sputtering distance in each information record to obtain correlation data, fitting the correlation data to obtain a relation formula, and enabling each dangerous waste identifier to correspond to one relation formula.
And S203, setting a minimum dumping height, searching in the associated data, judging whether the associated data with the same dumping height exist, if so, taking the maximum sputtering distance in the corresponding associated data as a dangerous distance, and if not, substituting the minimum dumping height into a relational formula, and calculating to obtain the corresponding maximum sputtering distance as the dangerous distance. The formula is as follows:
JS=r+t×log a [e×(2gh) 1/2 ]
wherein JS is the maximum sputtering distance, r is the radius of the bottom of the pouring container,for the sputter distance influence coefficient, a is a constant greater than 1, e is a tilt height influence coefficient, g is a gravitational acceleration, and h is a tilt height.
S204, setting a safety distance, adding the safety distance to the dangerous distance to obtain an early warning distance, judging whether the personnel distance is smaller than the early warning distance, if so, the sputtering risk exists, and if not, the sputtering risk does not exist.
In S3, when there is a sputtering risk, the device parameter is set to zero. When the sputtering risk does not exist, calculating the personnel distance in real time, subtracting the safety distance from the personnel distance to serve as the maximum sputtering distance, searching in the associated data, judging whether the associated data with the same maximum sputtering distance exist or not, and setting the dumping height in the corresponding associated data as equipment parameters if the associated data exist; and substituting the maximum sputtering distance into a relation formula if the sputtering distance does not exist, and setting the calculated dumping height as equipment parameters.
In S4, the specific steps are as follows:
s401, acquiring equipment parameters, entering an early warning mode when the equipment parameters are zero, reminding a worker of being far away from the position where the pouring point is located by adopting an audible and visual alarm mode, and stopping operation of the pouring equipment. And when the equipment parameter is not zero, the early warning mode is released, and the dumping equipment starts to operate.
S402, acquiring video information around a dumping point in real time through a camera arranged above the dumping point, decomposing the acquired video information into image frames, and analyzing each image frame by adopting an OpenCV technology; identifying the sputtered object in the image frame, measuring and calculating the actual distance between the sputtered object and the pouring point, and taking the actual distance as the sputtered object distance.
S403, judging whether the distance of the sputtered object is larger than the corresponding maximum sputtering distance under the current dumping height, if not, not processing; if the result is yes, replacing the distance with the corresponding maximum sputtering distance under the current dumping height, fitting again to obtain a new relation formula, and recalculating the dumping height; the pouring device adjusts the pouring height according to the device parameters.
S404, dividing a circular area serving as a dangerous area by taking the position of the dumping point as the center of a circle and the dangerous distance as the radius, and visually displaying the peripheral edge part of the dangerous area in a red laser projection mode. And the position of the dumping point is taken as the circle center, the early warning distance is taken as the radius, a circular area is divided as the early warning area, and the peripheral edge part of the early warning area is intuitively displayed in a green laser projection mode.
S405, the dangerous area and the early warning area change along with the dumping height in real time. When the sputter exceeds the maximum sputter distance, the relation formula changes, the early warning distance and the dumping height become smaller, and the areas of the dangerous area and the early warning area become smaller along with the reduction.
When the staff approaches the dumping point, the staff distance is smaller than the early warning distance, the early warning distance and the dumping height are reduced, and the dangerous area and the early warning area are also reduced along with the reduction. When staff gets away from the dumping point, and staff distance is greater than the early warning distance, early warning distance and dumping height grow, dangerous area and early warning area also become along with becoming. When the early warning distance or the dumping height cannot be reduced, the dumping equipment is controlled to stop running.
The pouring height is limited by the pouring device, and the variation range is within a certain interval. When the dumping height is increased, the maximum sputtering distance is increased, and a larger early warning distance is adopted to divide an early warning area; when the dumping height is reduced, the maximum sputtering distance is reduced, and the early warning area is divided by adopting the smaller early warning distance.
Compared with the prior art, the invention has the following beneficial effects:
1. accurately evaluating the sputtering distance: according to the invention, two methods of history searching and relational formula operation are used for searching or calculating the maximum sputtering distance for the same type of dangerous waste under different dumping heights. The method can rapidly and accurately evaluate the maximum sputtering distance, and avoids the complex process of a large number of experiments or numerical simulation in the traditional method.
2. Dynamically controlling the dumping height: the invention acquires the position information of the staff by utilizing an image acquisition mode, dynamically adjusts the dumping height according to the distance between the position of the staff and the dumping point, adjusts the maximum sputtering distance, and improves the dumping efficiency on the premise of protecting the safety of the staff.
3. Providing reference guidance: the invention adopts the projection lamp to display the dangerous area and the early warning area, and projects the dangerous area and the early warning area to the ground by different color lights for reference of staff. Therefore, the area where the staff is located can be intuitively displayed to the staff, and the staff is helped to perform better operation.
In summary, the invention can protect personnel safety and improve dumping efficiency by accurately evaluating the sputtering distance, dynamically controlling the dumping height and providing reference guidance. Compared with the prior art, the method has the characteristics of simplicity, convenience, accuracy and practicability, and can play an important role in the dangerous waste treatment process.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a dangerous waste dumping data management system based on artificial intelligence;
FIG. 2 is a flow chart of an artificial intelligence based hazardous waste dumping data management method.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an artificial intelligence-based dangerous waste dumping data management system, which comprises a data acquisition module, a data processing module, an operation management module and a data storage module.
The data acquisition module is used for acquiring dangerous waste information, dumping height, image information and historical records; the data processing module analyzes the image information, identifies the worker closest to the pouring point, judges whether sputtering risks exist, and dynamically calculates equipment parameters according to the distance between the worker and the pouring point; the operation management module controls dumping equipment through equipment parameters and controls the projection lamp to project a dangerous area and an early warning area on the ground; the data storage module is used for storing data in each pouring process as a history record.
The data acquisition module comprises a dangerous waste information acquisition unit, a dumping height acquisition unit, an image information acquisition unit and a history record acquisition unit.
The hazardous waste information acquisition unit is used for acquiring hazardous waste identifiers of the dumped liquid hazardous waste, and the hazardous waste identifiers are used for distinguishing different types of liquid hazardous waste.
Because different types of liquid hazardous wastes have different density, viscosity and other attributes, hazardous waste identifiers are needed to be used for distinguishing during information acquisition, and later calculation is facilitated.
The pouring height acquisition unit is used for acquiring the pouring height of the pouring equipment in the operation process in real time, the pouring height refers to the height difference between the pouring container and the pouring container in the pouring process, and the pouring equipment controls the pouring height.
The image information acquisition unit acquires video information around the dumping point in real time through a camera arranged above the dumping point.
The history record collecting unit is used for collecting all history dumping records, and each history dumping record comprises dangerous waste information, dumping height and maximum sputtering distance; the maximum sputtering distance refers to the furthest distance that hazardous waste splashes out during dumping at different dumping heights.
The historical dumping record is dumping height change information of the dangerous waste corresponding to the dangerous waste identifier in the whole dumping process, wherein one or more dumping heights exist and the maximum sputtering distance corresponding to each dumping height. The pouring heights are controlled by the pouring device, and usually for a period of time, the furthest distance that hazardous waste splashes out during the pouring process is taken as the maximum sputtering distance, and each pouring height corresponds to one maximum sputtering distance. When a larger sputtering distance occurs at the same dumping height corresponding to the same hazardous waste identifier, the hazardous waste identifier should be taken as the maximum sputtering distance of the dumping height corresponding to the same hazardous waste identifier.
The data processing module comprises a sputtering distance analysis unit and an equipment parameter analysis unit.
The sputtering distance analysis unit is used for calculating and analyzing the maximum sputtering distance.
Firstly, the collected video information is decomposed into image frames, each image frame is analyzed by the OpenCV technology, a worker nearest to the dumping point is identified and found, and the actual distance between the worker and the dumping point is measured and calculated to be used as a worker distance.
And secondly, acquiring dangerous waste identifiers of the dumped liquid dangerous waste, searching all records corresponding to the dangerous waste identifiers in a history record, correlating the dumping height in each record with the corresponding maximum sputtering distance to obtain correlation data, and fitting the correlation data to obtain a relational formula.
And setting a minimum dumping height, searching in the associated data, judging whether the associated data with the same dumping height exist, if so, taking the maximum sputtering distance in the corresponding associated data as a dangerous distance, and if not, substituting the minimum dumping height into a relational formula, and calculating to obtain the corresponding maximum sputtering distance as the dangerous distance.
The minimum pouring height is set according to the performance of the pouring device, the minimum pouring height being the lowest possible pouring height of the pouring device.
And finally, setting a safety distance, adding the safety distance to the dangerous distance to obtain an early warning distance, judging whether the personnel distance is smaller than the early warning distance, if so, the sputtering risk exists, and if not, the sputtering risk does not exist.
In the process of analyzing the image frames, the method also comprises the identification and judgment of sputtered objects; when identifying the sputtered object, measuring the distance between the sputtered object and the pouring point, judging whether the distance is larger than the corresponding maximum sputtering distance under the current pouring height, if not, not processing; and if so, replacing the distance with the corresponding maximum sputtering distance at the current dumping height, and fitting again to obtain a new relation formula.
Because the information acquired by the camera in real time is video information, each image frame needs to be analyzed, the calculated personnel distance can be changed continuously along with the walking of the staff, the lowest dumping height is a fixed value, the calculated maximum sputtering distance is a fixed value, and the safety distance is also a fixed value, so that the early warning distance is fixed, whether the changed personnel distance is smaller than the early warning distance is continuously judged, and the timely discovery of the sputtering risk is realized.
The maximum sputtering distance is calculated by a formula obtained by fitting actual measurement data, and because the sputtering distance is possibly exceeding the calculated maximum sputtering distance in the actual dumping process, the safety distance needs to be set as a buffer when the sputtering distance breaks through the maximum sputtering distance, the specific value is set by an administrator, when the calculation result of the formula for fitting the early-stage data is less and the calculation result of the formula for fitting the later-stage data is less and the safety distance is required to be set larger, and when the calculation result of the formula for fitting the later-stage data is more and the safety distance can be properly reduced.
The device parameter analysis unit is used for calculating device parameters and analyzing the device parameters. When there is a sputtering risk, setting the device parameters to zero; when the sputtering risk does not exist, the personnel distance is calculated in real time, the personnel distance is subtracted from the safety distance to be used as the maximum sputtering distance, the search is carried out in the associated data, whether the associated data with the same maximum sputtering distance exist or not is judged, if so, the dumping height in the corresponding associated data is set as the equipment parameter, if not, the maximum sputtering distance is substituted into the relational expression, and the calculated dumping height is set as the equipment parameter.
Since different properties of hazardous waste result in different maximum sputtering distances even at the same dumping height, each hazardous waste identifier corresponds to a different relational formula. When the pouring device is used for pouring, the relation formula can represent the variation trend of the maximum sputtering distance of the corresponding hazardous waste along with the pouring height.
The operation management module comprises a dumping control unit and a range prompting unit.
The pouring control unit controls the pouring equipment through the equipment parameters, and when the equipment parameters are zero, the pouring equipment stops running; when the equipment parameter is not zero, the pouring equipment controls the pouring height according to the equipment parameter.
The dumping height is changed in real time according to the personnel distance and the sputter distance. When the sputter exceeds the maximum sputter distance, the relational formula changes and the pouring height changes. When the staff approaches the dumping point, the dumping height is controlled to be changed when the staff distance is smaller than the early warning distance, so that the early warning distance is reduced, and the dumping equipment is controlled to stop running when the early warning distance cannot be reduced, so that the safety of the staff is protected. When the staff keeps away from the toppling point, and staff distance is greater than the early warning distance, control topples over the altitude and changes to increase the early warning distance, improve and topple over efficiency.
The range prompt unit displays the dangerous area and the early warning area in a projection mode. Dividing a circular area as a dangerous area by taking the position of the dumping point as a circle center and the dangerous distance as a radius; likewise, the position of the dumping point is taken as the circle center, the early warning distance is taken as the radius, and a circular area is divided to be taken as the early warning area; the area of the dangerous area is smaller than that of the early warning area, and the dangerous area and the early warning area are concentric circles; the peripheral edge parts of the dangerous area and the early warning area are visually displayed in a laser projection mode, the dangerous area adopts red laser projection, the early warning area adopts green laser projection, and the dangerous area and the early warning area with different side lengths are calculated and projected according to different dumping heights.
The data storage module is used for collecting dangerous waste information, dumping height and maximum sputtering distance in each dumping process, and storing the data as a history record.
Referring to fig. 2, the invention provides a dangerous waste dumping data management method based on artificial intelligence, which comprises the following steps:
s1, when a dumping device is started, automatically collecting dangerous waste information and a history record;
s2, acquiring position information of staff around the pouring point, and comprehensively judging whether sputtering risks exist;
S3, acquiring the distance between the staff and the dumping point in real time, and setting equipment parameters;
s4, controlling the operation of dumping equipment through equipment parameters, and displaying different areas in a projection mode;
and S5, after the pouring is finished, collecting information in the pouring process and storing the information as a history record.
In S1, dangerous waste information refers to a dangerous waste identifier, wherein the dangerous waste identifier is used for distinguishing dangerous wastes of different types, and the dangerous wastes of different types have different attributes; the history record refers to information records of each pouring, and each record comprises dangerous waste information, pouring height and maximum sputtering distance; the pouring height refers to the height difference between the pouring container and the pouring container in the pouring process, and the maximum sputtering distance refers to the farthest distance of the hazardous waste splashed out in the pouring process under different pouring heights.
In S2, the specific steps are as follows:
s201, acquiring video information around a dumping point in real time through a camera arranged above the dumping point, decomposing the acquired video information into image frames, and analyzing each image frame by adopting an OpenCV technology; and identifying and finding the worker nearest to the dumping point, and measuring and calculating the actual distance between the worker and the dumping point to serve as the distance between the worker and the dumping point.
S202, acquiring dangerous waste identifiers, searching all information records corresponding to the dangerous waste identifiers in a history record, correlating the dumping height and the maximum sputtering distance in each information record to obtain correlation data, fitting the correlation data to obtain a relation formula, and enabling each dangerous waste identifier to correspond to one relation formula.
And S203, setting a minimum dumping height, searching in the associated data, judging whether the associated data with the same dumping height exist, if so, taking the maximum sputtering distance in the corresponding associated data as a dangerous distance, and if not, substituting the minimum dumping height into a relational formula, and calculating to obtain the corresponding maximum sputtering distance as the dangerous distance. The formula is as follows:
JS=r+t×log a [e×(2gh) 1/2 ]
wherein JS is the maximum sputtering distance, r is the radius of the bottom of the pouring container,for the sputter distance influence coefficient, a is a constant greater than 1, e is a tilt height influence coefficient, g is a gravitational acceleration, and h is a tilt height.
S204, setting a safety distance, adding the safety distance to the dangerous distance to obtain an early warning distance, judging whether the personnel distance is smaller than the early warning distance, if so, the sputtering risk exists, and if not, the sputtering risk does not exist.
In S3, when there is a sputtering risk, the device parameter is set to zero. When the sputtering risk does not exist, calculating the personnel distance in real time, subtracting the safety distance from the personnel distance to serve as the maximum sputtering distance, searching in the associated data, judging whether the associated data with the same maximum sputtering distance exist or not, and setting the dumping height in the corresponding associated data as equipment parameters if the associated data exist; and substituting the maximum sputtering distance into a relation formula if the sputtering distance does not exist, and setting the calculated dumping height as equipment parameters.
In S4, the specific steps are as follows:
s401, acquiring equipment parameters, entering an early warning mode when the equipment parameters are zero, reminding a worker of being far away from the position where the pouring point is located by adopting an audible and visual alarm mode, and stopping operation of the pouring equipment. And when the equipment parameter is not zero, the early warning mode is released, and the dumping equipment starts to operate.
S402, acquiring video information around a dumping point in real time through a camera arranged above the dumping point, decomposing the acquired video information into image frames, and analyzing each image frame by adopting an OpenCV technology; identifying the sputtered object in the image frame, measuring and calculating the actual distance between the sputtered object and the pouring point, and taking the actual distance as the sputtered object distance.
S403, judging whether the distance of the sputtered object is larger than the corresponding maximum sputtering distance under the current dumping height, if not, not processing; if the result is yes, replacing the distance with the corresponding maximum sputtering distance under the current dumping height, fitting again to obtain a new relation formula, and recalculating the dumping height; the pouring device adjusts the pouring height according to the device parameters.
S404, dividing a circular area serving as a dangerous area by taking the position of the dumping point as the center of a circle and the dangerous distance as the radius, and visually displaying the peripheral edge part of the dangerous area in a red laser projection mode. And the position of the dumping point is taken as the circle center, the early warning distance is taken as the radius, a circular area is divided as the early warning area, and the peripheral edge part of the early warning area is intuitively displayed in a green laser projection mode.
S405, the dangerous area and the early warning area change along with the dumping height in real time. When the sputter exceeds the maximum sputter distance, the relation formula changes, the early warning distance and the dumping height become smaller, and the areas of the dangerous area and the early warning area become smaller along with the reduction.
When the staff approaches the dumping point, the staff distance is smaller than the early warning distance, the early warning distance and the dumping height are reduced, and the dangerous area and the early warning area are also reduced along with the reduction. When staff gets away from the dumping point, and staff distance is greater than the early warning distance, early warning distance and dumping height grow, dangerous area and early warning area also become along with becoming. When the early warning distance or the dumping height cannot be reduced, the dumping equipment is controlled to stop running.
The pouring height is limited by the pouring device, and the variation range is within a certain interval. When the dumping height is increased, the maximum sputtering distance is increased, and a larger early warning distance is adopted to divide an early warning area; when the dumping height is reduced, the maximum sputtering distance is reduced, and the early warning area is divided by adopting the smaller early warning distance.
Example 1: assuming that a dumping point and a worker exist in a certain dangerous waste dumping scene, wherein the distance between the worker and the dumping point is 5m, the lowest dumping height is set to be 1m, the radius of the bottom of a dumping container is 2m, and the safety distance is 2m; in the corresponding relation formula of the dangerous waste identifiers, the influence coefficient of the sputtering distance is 1.2, the constant is 1.2, the influence coefficient of the dumping height is 0.7, the gravity acceleration is 9.8m/s, and the corresponding maximum sputtering distance is calculated by substituting the formula:
maximum sputtering distance: 2+1.2×log 1.2 [0.7×(2×9.8×1) 1/2 ]≈9.44m
The maximum sputtering distance is taken as a dangerous distance and then added with a safety distance to be taken as an early warning distance:
early warning distance: 9.44+2=11.44 m
Because the distance between the personnel and the equipment is 5 meters and is smaller than the maximum sputtering distance of 11.44 meters, when the personnel starts the dumping equipment, the dumping equipment stops running, and the personnel is reminded of being far away from the position where the dumping point is located by adopting an audible and visual alarm mode;
When personnel move to 16 meters distance away from the pouring point, after the pouring device is started again, because the personnel distance is greater than the early warning distance of 11.44 meters from 16 meters, the pouring device is started successfully, and the pouring height is calculated by substituting the formula:
16-2=2+1.2×log 1.2 [0.7×(2×9.8×h) 1/2 ] h≈4m
the dumping equipment is provided with a dumping height of 4m, the early warning distance is changed to 16 meters, and the dangerous distance is 14 meters;
when the person moves to the distance of 14 meters from the pouring point again, the pouring device is started because the distance of 14 meters of the person is larger than the early warning distance of 11.44 meters, and the pouring height is calculated by substituting the formula:
14-2=2+1.2×log 1.2 [0.7×(2×9.8×h) 1/2 ] h≈2.2m
the dumping equipment is provided with a dumping height of 2.2m, the early warning distance is changed to 14 meters, and the dangerous distance is 12 meters;
when the person moves to the distance of 10 meters from the dumping point again, the dumping equipment stops running because the distance of 10 meters of the person is smaller than the early warning distance of 11.44 meters.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. Dangerous waste dumping data management system based on artificial intelligence, which is characterized in that: the system comprises a data acquisition module, a data processing module, an operation management module and a data storage module;
the data acquisition module is used for acquiring dangerous waste information, dumping height, image information and historical records; the data processing module analyzes the image information, identifies a worker closest to the dumping point, judges whether sputtering risks exist, and dynamically calculates equipment parameters according to the distance between the worker and the dumping point; the operation management module controls dumping equipment through equipment parameters and controls a projection lamp to project a dangerous area and an early warning area on the ground; the data storage module is used for storing data in each dumping process as a history record;
The history record refers to the information record of each pouring; the pouring height refers to the difference in height between the pouring container and the pouring container during pouring.
2. The artificial intelligence based hazardous waste dumping data management system of claim 1, wherein: the data acquisition module comprises a dangerous waste information acquisition unit, a dumping height acquisition unit, an image information acquisition unit and a history acquisition unit;
the hazardous waste information acquisition unit is used for acquiring hazardous waste identifiers of the dumped liquid hazardous waste, and the hazardous waste identifiers are used for distinguishing different types of liquid hazardous waste;
the pouring height acquisition unit is used for acquiring the pouring height of the pouring device in the running process in real time, wherein the pouring height refers to the height difference between a pouring container and a pouring container in the pouring process, and the pouring device controls the pouring height;
the image information acquisition unit acquires video information around the dumping point in real time through a camera arranged above the dumping point;
the history record collecting unit is used for collecting all history dumping records, and each history dumping record comprises dangerous waste information, dumping height and maximum sputtering distance; the maximum sputtering distance refers to the furthest distance that hazardous waste splashes out during dumping at different dumping heights.
3. The artificial intelligence based hazardous waste dumping data management system of claim 1, wherein: the data processing module comprises a sputtering distance analysis unit and an equipment parameter analysis unit;
the sputtering distance analysis unit is used for calculating and analyzing the maximum sputtering distance; firstly, decomposing collected video information into image frames, analyzing each image frame by using an OpenCV technology, identifying and finding a worker nearest to a dumping point, and measuring and calculating the actual distance between the worker and the dumping point to be used as a worker distance;
secondly, acquiring dangerous waste identifiers of the dumped liquid dangerous waste, searching all records corresponding to the dangerous waste identifiers in a history record, correlating the dumping height in each record with the corresponding maximum sputtering distance to obtain correlation data, and fitting the correlation data to obtain a relation formula;
setting a lowest dumping height, searching in the associated data, judging whether the associated data with the same dumping height exist, if so, taking the maximum sputtering distance in the corresponding associated data as a dangerous distance, and if not, substituting the lowest dumping height into a relational formula, and calculating to obtain the corresponding maximum sputtering distance as the dangerous distance;
Finally, setting a safety distance, adding the safety distance to the dangerous distance to obtain an early warning distance, judging whether the personnel distance is smaller than the early warning distance, if so, the sputtering risk exists, and if not, the sputtering risk does not exist;
in the process of analyzing the image frames, the method also comprises the identification and judgment of sputtered objects; when identifying the sputtered object, measuring the distance between the sputtered object and the pouring point, judging whether the distance is larger than the corresponding maximum sputtering distance under the current pouring height, if not, not processing; if the result is yes, replacing the distance with the corresponding maximum sputtering distance under the current dumping height, and fitting again to obtain a new relation formula;
the device parameter analysis unit is used for calculating device parameters and analyzing the device parameters; when there is a sputtering risk, setting the device parameters to zero; when the sputtering risk does not exist, the personnel distance is calculated in real time, the personnel distance is subtracted from the safety distance to be used as the maximum sputtering distance, the search is carried out in the associated data, whether the associated data with the same maximum sputtering distance exist or not is judged, if so, the dumping height in the corresponding associated data is set as the equipment parameter, if not, the maximum sputtering distance is substituted into the relational expression, and the calculated dumping height is set as the equipment parameter.
4. A hazardous waste dumping data management system based on artificial intelligence according to claim 3, wherein: the operation management module comprises a dumping control unit and a range prompting unit;
the pouring control unit controls the pouring equipment through the equipment parameters, and when the equipment parameters are zero, the pouring equipment stops running; when the equipment parameter is not zero, the dumping equipment controls the dumping height according to the equipment parameter;
the range prompting unit displays a dangerous area and an early warning area in a projection mode; dividing a circular area as a dangerous area by taking the position of the dumping point as a circle center and the dangerous distance as a radius; likewise, the position of the dumping point is taken as the circle center, the early warning distance is taken as the radius, and a circular area is divided to be taken as the early warning area; the area of the dangerous area is smaller than that of the early warning area, and the dangerous area and the early warning area are concentric circles; the peripheral edge parts of the dangerous area and the early warning area are visually displayed in a laser projection mode, the dangerous area adopts red laser projection, the early warning area adopts green laser projection, and the dangerous area and the early warning area with different side lengths are calculated and projected according to different dumping heights.
5. The artificial intelligence based hazardous waste dumping data management system of claim 2, wherein: the data storage module is used for collecting dangerous waste information, dumping height and maximum sputtering distance in each dumping process and storing the data as a history record.
6. The dangerous waste dumping data management method based on artificial intelligence is characterized by comprising the following steps of: the management method comprises the following steps:
s1, when a dumping device is started, automatically collecting dangerous waste information and a history record;
s2, acquiring position information of staff around the pouring point, and comprehensively judging whether sputtering risks exist;
s3, acquiring the distance between the staff and the dumping point in real time, and setting equipment parameters;
s4, controlling the operation of dumping equipment through equipment parameters, and displaying different areas in a projection mode;
s5, after pouring is completed, collecting information in the pouring process and storing the information as a history record;
the history record refers to the information record of each pouring; the area comprises a dangerous area and an early warning area.
7. The dangerous waste dumping data management method based on artificial intelligence of claim 6, wherein the dangerous waste dumping data management method is characterized by comprising the following steps: in S1, dangerous waste information refers to a dangerous waste identifier, wherein the dangerous waste identifier is used for distinguishing dangerous wastes of different types, and the dangerous wastes of different types have different attributes; the history record refers to information records of each pouring, and each record comprises dangerous waste information, pouring height and maximum sputtering distance; the pouring height refers to the height difference between the pouring container and the pouring container in the pouring process, and the maximum sputtering distance refers to the farthest distance of the hazardous waste splashed out in the pouring process under different pouring heights.
8. The dangerous waste dumping data management method based on artificial intelligence of claim 6, wherein the dangerous waste dumping data management method is characterized by comprising the following steps: in S2, the specific steps are as follows:
s201, acquiring video information around a dumping point in real time through a camera arranged above the dumping point, decomposing the acquired video information into image frames, and analyzing each image frame by adopting an OpenCV technology; identifying and finding a worker closest to the dumping point, measuring and calculating the actual distance between the worker and the dumping point, and taking the actual distance as a worker distance;
s202, acquiring dangerous waste identifiers, searching all information records corresponding to the dangerous waste identifiers in a history record, correlating the dumping height and the maximum sputtering distance in each information record to obtain correlation data, fitting the correlation data to obtain a relation formula, and enabling each dangerous waste identifier to correspond to one relation formula;
s203, setting a minimum dumping height, searching in the associated data, judging whether the associated data with the same dumping height exist, if so, taking the maximum sputtering distance in the corresponding associated data as a dangerous distance, and if not, substituting the minimum dumping height into a relational formula, and calculating to obtain the corresponding maximum sputtering distance as the dangerous distance; the formula is as follows:
JS=r+t×log a [e×(2gh) 1/2 ]
Wherein JS is the maximum sputtering distance, r is the radius of the bottom of the pouring container,for the sputter distance influence coefficient, a is a constant greater than 1, e is a tilt height influence coefficient, g is a gravitational acceleration, h is a tilt height;
s204, setting a safety distance, adding the safety distance to the dangerous distance to obtain an early warning distance, judging whether the personnel distance is smaller than the early warning distance, if so, the sputtering risk exists, and if not, the sputtering risk does not exist.
9. The dangerous waste dumping data management method based on artificial intelligence of claim 8, wherein the dangerous waste dumping data management method is characterized by comprising the following steps: in S3, when there is a sputtering risk, setting the device parameter to zero; when the sputtering risk does not exist, calculating the personnel distance in real time, subtracting the safety distance from the personnel distance to serve as the maximum sputtering distance, searching in the associated data, judging whether the associated data with the same maximum sputtering distance exist or not, and setting the dumping height in the corresponding associated data as equipment parameters if the associated data exist; and substituting the maximum sputtering distance into a relation formula if the sputtering distance does not exist, and setting the calculated dumping height as equipment parameters.
10. The dangerous waste dumping data management method based on artificial intelligence of claim 9, wherein the dangerous waste dumping data management method is characterized in that: in S4, the specific steps are as follows:
S401, acquiring equipment parameters, entering an early warning mode when the equipment parameters are zero, reminding a worker of being far away from the position where the dumping point is located by adopting an audible and visual alarm mode, and stopping operation of the dumping equipment; when the equipment parameter is not zero, the early warning mode is released, and the dumping equipment starts to operate;
s402, acquiring video information around a dumping point in real time through a camera arranged above the dumping point, decomposing the acquired video information into image frames, and analyzing each image frame by adopting an OpenCV technology; identifying a sputtered object in the image frame, measuring and calculating the actual distance between the sputtered object and the pouring point, and taking the actual distance as the sputtered object distance;
s403, judging whether the distance of the sputtered object is larger than the corresponding maximum sputtering distance under the current dumping height, if not, not processing; if the result is yes, replacing the distance with the corresponding maximum sputtering distance under the current dumping height, fitting again to obtain a new relation formula, and recalculating the dumping height; the dumping equipment adjusts the dumping height according to the equipment parameters;
s404, dividing a circular area as a dangerous area by taking the position of the dumping point as the center of a circle and the dangerous distance as the radius, and visually displaying the peripheral edge part of the dangerous area in a red laser projection mode; the position of the dumping point is taken as the circle center, the early warning distance is taken as the radius, a circular area is divided as an early warning area, and the peripheral edge part of the early warning area is intuitively displayed in a green laser projection mode;
S405, the dangerous area and the early warning area change along with the dumping height in real time; when the sputtering object exceeds the maximum sputtering distance, the relation formula is changed, the early warning distance and the dumping height are reduced, and the areas of the dangerous area and the early warning area are also reduced along with the reduction;
when the staff approaches the dumping point, and the staff distance is smaller than the early warning distance, the early warning distance and the dumping height are reduced, and the areas of the dangerous area and the early warning area are also reduced along with the reduction; when the staff is far away from the dumping point, and the staff distance is larger than the early warning distance, the early warning distance and the dumping height become larger, and the dangerous area and the early warning area become larger along with the large; when the early warning distance or the dumping height cannot be reduced, the dumping equipment is controlled to stop running.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866982A (en) * 2015-06-18 2015-08-26 河南博苑环保科技有限公司 Internet+hazardous waste management system and method
CN110851674A (en) * 2019-11-14 2020-02-28 宝武集团环境资源科技有限公司 Hazardous waste management platform
CN111242251A (en) * 2019-12-23 2020-06-05 赛维斯智慧环境科技(山东)有限公司 Intelligent monitoring system for dangerous waste
CN113077133A (en) * 2021-03-19 2021-07-06 南京大学 Identification and tracing method for illegal dumping risk area of hazardous waste based on multi-source data
KR102291259B1 (en) * 2020-02-28 2021-08-20 주식회사 그릿테크 Ai system based on edge-computing for reinforcing safe-management in industrial site
CN114648879A (en) * 2022-05-18 2022-06-21 浙江大华技术股份有限公司 Abnormal area monitoring method and device based on dangerous goods and storage medium
CN114757617A (en) * 2022-04-26 2022-07-15 平安国际智慧城市科技股份有限公司 Hazardous waste disposal monitoring method and device, storage medium and computer equipment
CN116166352A (en) * 2022-12-08 2023-05-26 成都大数据产业技术研究院有限公司 Visual display method and system for solid hazardous waste emission information

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11788877B2 (en) * 2018-05-01 2023-10-17 Zabble, Inc. Apparatus and method for waste monitoring and analysis

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866982A (en) * 2015-06-18 2015-08-26 河南博苑环保科技有限公司 Internet+hazardous waste management system and method
CN110851674A (en) * 2019-11-14 2020-02-28 宝武集团环境资源科技有限公司 Hazardous waste management platform
CN111242251A (en) * 2019-12-23 2020-06-05 赛维斯智慧环境科技(山东)有限公司 Intelligent monitoring system for dangerous waste
KR102291259B1 (en) * 2020-02-28 2021-08-20 주식회사 그릿테크 Ai system based on edge-computing for reinforcing safe-management in industrial site
CN113077133A (en) * 2021-03-19 2021-07-06 南京大学 Identification and tracing method for illegal dumping risk area of hazardous waste based on multi-source data
CN114757617A (en) * 2022-04-26 2022-07-15 平安国际智慧城市科技股份有限公司 Hazardous waste disposal monitoring method and device, storage medium and computer equipment
CN114648879A (en) * 2022-05-18 2022-06-21 浙江大华技术股份有限公司 Abnormal area monitoring method and device based on dangerous goods and storage medium
CN116166352A (en) * 2022-12-08 2023-05-26 成都大数据产业技术研究院有限公司 Visual display method and system for solid hazardous waste emission information

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