CN116070917A - Dangerous chemical risk level evaluation system based on artificial intelligent storage - Google Patents
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Abstract
The invention belongs to the field of dangerous chemical storage, and relates to a data analysis technology, in particular to a dangerous chemical risk level assessment system based on artificial intelligent storage, which comprises a level assessment platform, wherein the level assessment platform is in communication connection with an environment detection module, a real-time analysis module, a period analysis module, a risk assessment module and a storage module; according to the method, trend analysis is carried out on the storage environment in the dangerous chemical storage space, the annular display coefficient change state in the annular inspection period is marked, the change trend of the storage environment is fed back according to the environment change characteristics in the annular inspection period, and early warning is timely carried out when the environment change trend is abnormal in a certain period of time, so that management staff can take measures in advance to prevent accidents.
Description
Technical Field
The invention belongs to the field of dangerous chemical storage, relates to a data analysis technology, and particularly relates to a dangerous chemical risk level assessment system based on artificial intelligent storage.
Background
The dangerous chemicals comprise spontaneous combustion materials, compressed gas, wet inflammable matters, explosives, liquefied gas, inflammable liquid, inflammable solids, organic peroxides, corrosive substances and the like, and are affected by a plurality of uncontrollable factors, which are equivalent to invisible bombs, and once accidents occur, the dangerous chemicals can cause great harm to lives and properties of surrounding residents;
the risk level evaluation system of the dangerous chemicals in the prior art can only monitor the storage environment of the dangerous chemicals in real time, so that the storage environment can meet the storage conditions of the dangerous chemicals, and simultaneously alarms in time when the storage environment is abnormal, but the system does not have the functions of environment change trend prediction and overall storage risk analysis, can not analyze the invisible risk of the dangerous chemicals in the storage within a certain period of time, and can not early warn when the environment change trend is abnormal;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a dangerous chemical risk level assessment system based on artificial intelligent storage, which is used for solving the problem that the dangerous chemical risk level assessment system in the prior art does not have the functions of environment change trend prediction and overall storage risk analysis.
The technical problems to be solved by the invention are as follows: how to provide a dangerous chemical risk grade assessment system based on artificial intelligence storage, which can analyze the hidden risk of dangerous chemical in storage in a certain period of time and early warn when the environmental change trend is abnormal.
The aim of the invention can be achieved by the following technical scheme:
the dangerous chemical risk level assessment system based on artificial intelligent storage comprises a level assessment platform which is in communication connection with an environment detection module, a real-time analysis module, a period analysis module, a risk assessment module and a storage module;
the environment detection module is used for detecting and analyzing the storage environment of the hazardous chemicals: dividing a storage space of the dangerous chemical into a plurality of detection areas, acquiring temperature display data WX, wet display data SX and dust data HC in the detection areas in real time, performing numerical calculation to obtain a loop display coefficient HX, transmitting the loop display coefficient HX monitored in real time by the detection areas to a grade evaluation platform, and transmitting the loop display coefficient HX to a real-time analysis module and a risk evaluation module after the grade evaluation platform receives the loop display coefficient HX;
the real-time analysis module is used for carrying out real-time analysis on the storage environment of the dangerous chemicals and sending an environment alarm signal to the grade evaluation platform when the storage environment of the detection area does not meet the requirement, and the grade evaluation platform sends the environment alarm signal to the period analysis module and the mobile phone terminal of the manager after receiving the environment alarm signal;
the period analysis module is used for carrying out trend analysis on the storage environment in the dangerous chemical storage space: generating a loop detection period, dividing the loop detection period into a plurality of loop detection periods, performing steep rise analysis at the end time of the loop detection period, and marking the loop detection period as a steep rise period, a single rise period or a stable period;
the risk assessment module is used for detecting and analyzing the storage risk of the dangerous chemicals: when the risk assessment module receives the environment alarm signal, marking the annular detection time period where the receiving time of the environment alarm signal is positioned as an alarm time period; and acquiring triple data SC, double data EC and single standard data DB of the dangerous chemical storage space, performing numerical calculation to obtain a risk coefficient FX, and marking the risk level of the dangerous chemical in the circular inspection period as a first level, a second level or a third level according to the numerical value of the risk coefficient FX.
As a preferred embodiment of the present invention, the process of acquiring the thermal display data WX includes: acquiring a temperature range and an air temperature value in a detection area, marking an average value of a maximum boundary value and a minimum boundary value of the temperature range as Wen Junzhi, and marking an absolute value of a difference value between the air temperature value and Wen Junzhi as temperature display data WX; the acquisition process of the wet display data SX comprises the following steps: acquiring a humidity range and an air humidity value in a detection area, marking an average value of a maximum boundary value and a minimum boundary value of the humidity range as a wet average value, and marking an absolute value of a difference value between the air humidity value and the wet average value as wet display data SX; the dust data HC is a dust concentration value of air in the detection area.
As a preferred embodiment of the invention, the specific process of comparing the loop display coefficient HX of the detection area with the loop display threshold HXmax comprises the following steps: if the loop display coefficient HX is smaller than the loop display threshold HXmax, judging that the storage environment in the detection area meets the requirement; if the loop display coefficient HX is greater than or equal to the loop display threshold HXmax, judging that the storage environment in the detection area does not meet the requirement.
As a preferred embodiment of the present invention, the specific process of performing the steep rise analysis at the end time of the loop detection period includes: obtaining the maximum value and the minimum value of the loop display coefficient HX of the detection area in the loop detection period, marking the maximum value and the minimum value as a loop display high value and a loop display low value respectively, marking the difference value between the loop display high value and the loop display low value as a loop display peak valley value, marking the difference value between the loop display high value and the detection time of the loop display low value as a peak Gu Shichang, marking the ratio of the loop display peak valley value and a peak Gu Shichang as a steep rise coefficient, obtaining a steep rise threshold value through a storage module, and comparing the steep rise coefficient with the steep rise threshold value: if the steep rise coefficient is smaller than the steep rise threshold, judging that the environmental change trend of the detection area in the corresponding annular detection period meets the requirement, and marking the trend characteristic of the corresponding detection area in the annular detection period as stable; if the steep rise coefficient is larger than or equal to the steep rise threshold, judging that the environmental change trend of the detection area in the corresponding annular detection period does not meet the requirement, and marking the trend characteristic of the corresponding detection area in the annular detection period as abrupt rise; if the change trend of all the detection areas in the annular detection period is stable, marking the corresponding annular detection period as a stable period; otherwise, marking the corresponding loop detection time period as a steep rise time period, and sending an environment early warning signal to the grade evaluation platform by the period analysis module, wherein the period analysis module sends the environment early warning signal to a mobile phone terminal of a manager after receiving the environment early warning signal.
As a preferred embodiment of the present invention, the specific process of marking the loop detection period as a single-liter period or a stationary period includes: the peak Gu Shichang of the detection zone is compared to the duration of the loop detection period: if the peak-valley time length of the detection area is equal to the time length of the loop detection time period, marking the corresponding loop detection time period as a single-liter time period; otherwise, the corresponding loop detection period is marked as a stationary period.
As a preferred embodiment of the present invention, the process of acquiring the triple data SC includes: when the loop detection time period is marked as an alarm time period, a steep rise time period and a single rise time period at the same time, marking the loop detection time period as a triple time period, and marking the number of the triple time periods as triple data SC; the acquisition process of the dual data EC comprises: when the loop detection period is marked as any two of the alarm period, the steep rise period and the single rise period, marking the corresponding loop detection period as a double period, and marking the number of the double periods as double data EC; the acquisition process of the single-label data DB comprises the following steps: the average value of the marked times of the alarm time period, the steep rise time period and the single rise time period in the loop detection period is marked as single-standard data DB.
As a preferred embodiment of the present invention, the specific process of marking the risk level of the circular inspection period as a first level, a second level or a third level includes: acquiring a minimum risk threshold FXmin and a maximum risk threshold FXmax through a storage module, and comparing the risk coefficient FX of the dangerous chemical in the loop detection period with the minimum risk threshold FXmin and the maximum risk threshold FXmax: if FX is less than or equal to FX min, marking the risk level of the dangerous chemical in the circular detection period as three levels; if FXmin is less than FX and less than FXmax, marking the risk level of the dangerous chemical in the circular inspection period as a level; and if FX is more than or equal to FXmax, marking the risk grade of the dangerous chemical in the loop detection period as a grade.
The working method of the dangerous chemical risk level assessment system based on artificial intelligent storage comprises the following steps:
step one: and detecting and analyzing the storage environment of the dangerous chemical: dividing a storage space of dangerous chemicals into a plurality of detection areas, acquiring temperature display data WX, wet display data SX and dust data HC in the detection areas in real time, and performing numerical calculation to obtain a ring display coefficient HX of the detection areas;
step two: and carrying out real-time analysis on the storage environment of the dangerous chemicals: the method comprises the steps of obtaining a loop display threshold HXmax through a storage module, comparing the loop display coefficient HX with the loop display threshold HXmax, and judging whether the storage environment of a detection area meets the requirement or not according to a comparison result;
step three: trend analysis is carried out on the storage environment in the dangerous chemical storage space: generating a loop detection period, dividing the loop detection period into a plurality of loop detection periods, performing steep rise analysis at the end time of the loop detection period, and marking the loop detection period as a stable period, a steep rise period or a single rise period according to the steep rise analysis result;
step four: and detecting and analyzing the storage risk of the dangerous chemical: and (3) carrying out numerical calculation on the marking state of the annular inspection period to obtain a risk coefficient, and marking the risk level of the dangerous chemical in the annular inspection period as a level one, a level two or a level three according to the numerical value of the risk coefficient.
The invention has the following beneficial effects:
1. according to the invention, the storage environment of dangerous chemicals can be monitored and analyzed in real time through the environment detection module, a plurality of environmental parameters in a detection area are obtained and processed in a regional detection mode to obtain the ring display coefficient, and the storage risk of the dangerous chemicals in the detection area is judged through the numerical value of the ring display coefficient, so that an alarm can be given out at the first time when the environment is abnormal;
2. the invention can also carry out trend analysis on the storage environment in the dangerous chemical storage space through the period analysis module, and marks the annular inspection period through the annular display coefficient change state in the annular inspection period, so that the change trend of the storage environment is fed back according to the environmental change characteristics in the annular inspection period, and early warning is carried out in time when the environmental change trend is abnormal in a certain period of time, so that a manager can take measures in advance to prevent accidents;
3. detecting and analyzing the storage risk of the dangerous chemicals through a risk assessment module, carrying out statistical analysis processing on the marking state of the loop time period in the loop detection period to obtain a risk coefficient, marking the hidden risk level existing in the dangerous chemicals storage process according to the risk coefficient, and providing data support for revising the dangerous chemicals storage scheme according to the risk level; and meanwhile, comprehensive analysis is performed by combining real-time alarm, time period early warning and overall risk level, so that the storage safety of dangerous chemicals is further improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments 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.
The safety evaluation of dangerous chemicals is based on the identification of dangerous and harmful factors and risk evaluation, and the concept of 'preventing any accidents' is established, so that the scientificity, standardization and systemicity of the evaluation process are focused by combining the daily management of dangerous chemicals.
Embodiment one: as shown in FIG. 1, the dangerous chemical risk level assessment system based on artificial intelligence storage comprises a level assessment platform, wherein the level assessment platform is in communication connection with an environment detection module, a real-time analysis module, a period analysis module, a risk assessment module and a storage module.
The environment detection module is used for detecting and analyzing the storage environment of the dangerous chemicals: dividing the storage space of the dangerous chemical into a plurality of detection areas, and acquiring temperature display data WX, wet display data SX and dust data HC in the detection areas in real time, wherein the acquiring process of the temperature display data WX comprises the following steps: acquiring a temperature range and an air temperature value in a detection area, marking an average value of a maximum boundary value and a minimum boundary value of the temperature range as Wen Junzhi, and marking an absolute value of a difference value between the air temperature value and Wen Junzhi as temperature display data WX; the acquisition process of the wet display data SX comprises the following steps: acquiring a humidity range and an air humidity value in a detection area, marking an average value of a maximum boundary value and a minimum boundary value of the humidity range as a wet average value, and marking an absolute value of a difference value between the air humidity value and the wet average value as wet display data SX; the dust data HC is a dust concentration value of air in the detection area; obtaining a ring display coefficient HX of a detection area through a formula HX=a1×WX+a2×SX+a3×HC, wherein α1, α2 and α3 are proportionality coefficients, and α1 > α2 > α3 > 1; and sending the loop display coefficient HX monitored in real time by the detection area to a grade evaluation platform, and sending the loop display coefficient HX to a real-time analysis module and a risk evaluation module after the grade evaluation platform receives the loop display coefficient HX.
It should be noted that, the environment detection module detects the storage environment of the storage space in real time, and feeds back the environment abnormality degree of the detection area through the value of the loop display coefficient HX, and the greater the value of the loop display coefficient HX, the higher the environment abnormality degree of the detection area is, and the higher the risk of dangerous goods storage in the detection area is.
The real-time analysis module is used for carrying out real-time analysis on the storage environment of the dangerous chemicals: the loop display threshold HXmax is obtained through the storage module, and the loop display coefficient HX of the detection area is compared with the loop display threshold HXmax: if the loop display coefficient HX is smaller than the loop display threshold HXmax, judging that the storage environment in the detection area meets the requirement; if the loop display coefficient HX is greater than or equal to the loop display threshold HXmax, judging that the storage environment in the detection area does not meet the requirement, sending an environment alarm signal to a grade evaluation platform by a real-time analysis module, and sending the environment alarm signal to a period analysis module and a mobile phone terminal of a manager after the grade evaluation platform receives the environment alarm signal; the method comprises the steps of carrying out real-time monitoring analysis on the storage environment of dangerous chemicals, obtaining a plurality of environmental parameters in a detection area in a zonal detection mode, processing the environmental parameters to obtain a loop display coefficient HX, judging the storage risk of dangerous chemicals in the detection area through the numerical value of the loop display coefficient HX, and accordingly alarming in the first time when the environment is abnormal.
The value of the loop threshold value HXmax is set to 22.54, three detection areas are assumed, the air temperature value, the air humidity value and the dust concentration value of the three detection areas are obtained, the environmental parameter monitoring results of the three detection areas are (26, 75,3), (32, 83, 4) and (20, 64, 4), the temperature range of the dangerous chemical storage space is generally selected to be 24-28 ℃, the humidity range is generally selected to be 70-80, and the humidity value and the humidity range are both relative humidity; namely, the numerical values of the temperature display data WX of the three detection areas are respectively 0, 6 and 6, the wet display data SX of the three detection areas are respectively 0,8 and 9, the dust data of the three detection areas are respectively 3,4 and 4, and the temperature display data, the wet display data and the dust data of the three detection areas are respectively brought into a calculation formula of the ring display coefficient to obtain the ring display coefficient of the first detection area of 6.51, the ring display coefficient of the second detection area of 67.56 and the ring display coefficient of the third detection area of 70.81; the loop display coefficients of the three detection areas are respectively compared with 22.54 to obtain: the storage environment of the first detection area meets the requirements, the storage environment of the second detection area does not meet the requirements, and the storage environment of the third detection area does not meet the requirements.
The period analysis module is used for carrying out trend analysis on the storage environment in the dangerous chemical storage space: generating a loop detection period, dividing the loop detection period into a plurality of loop detection periods, and carrying out steep rise analysis at the end time of the loop detection periods: obtaining the maximum value and the minimum value of the loop display coefficient HX of the detection area in the loop detection period, marking the maximum value and the minimum value as a loop display high value and a loop display low value respectively, marking the difference value between the loop display high value and the loop display low value as a loop display peak valley value, marking the difference value between the loop display high value and the detection time of the loop display low value as a peak Gu Shichang, marking the ratio of the loop display peak valley value and a peak Gu Shichang as a steep rise coefficient, obtaining a steep rise threshold value through a storage module, and comparing the steep rise coefficient with the steep rise threshold value: if the steep rise coefficient is smaller than the steep rise threshold, judging that the environmental change trend of the detection area in the corresponding annular detection period meets the requirement, and marking the trend characteristic of the corresponding detection area in the annular detection period as stable; if the steep rise coefficient is larger than or equal to the steep rise threshold, judging that the environmental change trend of the detection area in the corresponding annular detection period does not meet the requirement, and marking the trend characteristic of the corresponding detection area in the annular detection period as abrupt rise; if the change trend of all the detection areas in the annular detection period is stable, marking the corresponding annular detection period as a stable period; otherwise, marking the corresponding loop detection time period as a steep rise time period, and sending an environment early warning signal to the grade evaluation platform by the period analysis module, wherein the period analysis module sends the environment early warning signal to a mobile phone terminal of a manager after receiving the environment early warning signal; the peak Gu Shichang of the detection zone is compared to the duration of the loop detection period: if the peak-valley time length of the detection area is equal to the time length of the loop detection time period, marking the corresponding loop detection time period as a single-liter time period; otherwise, marking the corresponding loop detection time period as a stable time period; trend analysis is carried out on the storage environment in the dangerous chemical storage space, the annular display coefficient HX change state in the annular inspection period is marked on the annular inspection period, so that the change trend of the storage environment is fed back according to the environmental change characteristics in the annular inspection period, early warning is timely carried out when the environmental change trend is abnormal in a certain period of time, and management staff can take measures in advance to prevent accidents.
The period analysis module is used for carrying out trend analysis on the storage environment in the dangerous chemical storage space, and feeding back the invisible risk of dangerous chemical storage through the marking result of the trend characteristics, so that the storage safety of dangerous chemicals is improved.
The risk assessment module is used for detecting and analyzing the storage risk of the dangerous chemicals: when the risk assessment module receives the environment alarm signal, marking the annular detection time period where the receiving time of the environment alarm signal is positioned as an alarm time period; the method for acquiring the triple data SC, the double data EC and the single standard data DB of the dangerous chemical storage space comprises the following steps of: when the loop detection time period is marked as an alarm time period, a steep rise time period and a single rise time period at the same time, marking the loop detection time period as a triple time period, and marking the number of the triple time periods as triple data SC; the acquisition process of the dual data EC comprises: when the loop detection period is marked as any two of the alarm period, the steep rise period and the single rise period, marking the corresponding loop detection period as a double period, and marking the number of the double periods as double data EC; the acquisition process of the single-label data DB comprises the following steps: marking the average value of marked times of an alarm period, a steep rise period and a single rise period in the loop detection period as single-standard data DB; obtaining a risk coefficient FX of the dangerous chemical in the circular inspection period through a formula FX=β1xSC+β2xEC+β3xDB, wherein the risk coefficient FX is a numerical value reflecting the storage safety of the dangerous chemical in the circular inspection period, and the smaller the numerical value of the risk coefficient FX is, the higher the storage safety of the dangerous chemical in the circular inspection period is; wherein β1, β2 and β3 are proportionality coefficients, and β1 > β2 > β3 > 1; acquiring a minimum risk threshold FXmin and a maximum risk threshold FXmax through a storage module, and comparing the risk coefficient FX of the dangerous chemical in the loop detection period with the minimum risk threshold FXmin and the maximum risk threshold FXmax: if FX is less than or equal to FX min, marking the risk level of the dangerous chemical in the circular detection period as three levels; if FXmin is less than FX and less than FXmax, marking the risk level of the dangerous chemical in the circular inspection period as a level; if FX is more than or equal to FXmax, marking the risk level of the dangerous chemical in the circular inspection period as a level; the risk level of the dangerous chemical in the circular inspection period is sent to a mobile phone terminal of a manager through a risk assessment platform, and the manager carries out rectification on the dangerous chemical with a level of risk after receiving the risk level, wherein the rectification process comprises the following steps: the dangerous chemical units should combine the results of self-checking and expert checking, block the loopholes, fill up the short plates, tamp the dangerous chemical safety management foundation; after the enterprise finishes self-checking or expert checking, the enterprise organizes related departments to make a modification plan according to the evaluation report, and the modification plan should definitely modify the content, modification measures, finishing period, modification responsible person and acceptance person; detecting and analyzing the storage risk of the dangerous chemicals, and obtaining a risk coefficient by carrying out statistical analysis processing on the marking state of the loop time period in the loop detection period, so that the hidden risk level existing in the dangerous chemicals storage process is marked according to the risk coefficient, and data support is provided for revising the dangerous chemicals storage scheme according to the risk level; and meanwhile, comprehensive analysis is performed by combining real-time alarm, time period early warning and overall risk level, so that the storage safety of dangerous chemicals is further improved.
Embodiment two: as shown in fig. 2, the dangerous chemical risk level assessment method based on artificial intelligence storage comprises the following steps:
step one: and detecting and analyzing the storage environment of the dangerous chemical: dividing a storage space of dangerous chemicals into a plurality of detection areas, acquiring temperature display data WX, wet display data SX and dust data HC in the detection areas in real time, and performing numerical calculation to obtain a ring display coefficient HX of the detection areas;
step two: and carrying out real-time analysis on the storage environment of the dangerous chemicals: the method comprises the steps of obtaining a loop display threshold HXmax through a storage module, comparing the loop display coefficient HX with the loop display threshold HXmax, and judging whether the storage environment of a detection area meets the requirement or not according to a comparison result;
step three: trend analysis is carried out on the storage environment in the dangerous chemical storage space: generating a loop detection period, dividing the loop detection period into a plurality of loop detection periods, performing steep rise analysis at the end time of the loop detection period, and marking the loop detection period as a stable period, a steep rise period or a single rise period according to the steep rise analysis result;
step four: and detecting and analyzing the storage risk of the dangerous chemical: and (3) carrying out numerical calculation on the marking state of the annular inspection period to obtain a risk coefficient, and marking the risk level of the dangerous chemical in the annular inspection period as a level one, a level two or a level three according to the numerical value of the risk coefficient.
When the method is used, a storage space of a dangerous chemical is divided into a plurality of detection areas, temperature display data WX, wet display data SX and dust data HC in the detection areas are obtained in real time, a ring display coefficient HX of the detection areas is obtained through numerical calculation, a ring display threshold HXmax is obtained through a storage module, the ring display coefficient HX and the ring display threshold HXmax are compared, whether a storage environment of the detection areas meets requirements or not is judged according to a comparison result, a ring detection period is generated, the ring detection period is divided into a plurality of ring detection periods, steep rise analysis is carried out at the end time of the ring detection period, the ring detection period is marked as a stable period, a steep rise period or a single rise period according to a steep rise analysis result, a risk coefficient is obtained through numerical calculation on the marked state of the ring detection period, and the risk level of the dangerous chemical in the ring detection period is marked as a level, a second level or a third level according to the numerical value of the risk coefficient.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula hx=α1×wx+α2×sx+α3×hc; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding loop display coefficient HX for each group of sample data; substituting the set ring display coefficient HX and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficients and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.48, 3.25 and 2.17 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding loop display coefficient HX is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the ring display coefficient HX is in direct proportion to the value of the temperature display data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The dangerous chemical risk level assessment system based on artificial intelligent storage is characterized by comprising a level assessment platform, wherein the level assessment platform is in communication connection with an environment detection module, a real-time analysis module, a period analysis module, a risk assessment module and a storage module;
the environment detection module is used for detecting and analyzing the storage environment of the hazardous chemicals: dividing a storage space of the dangerous chemical into a plurality of detection areas, acquiring temperature display data WX, wet display data SX and dust data HC in the detection areas in real time, performing numerical calculation to obtain a loop display coefficient HX, transmitting the loop display coefficient HX monitored in real time by the detection areas to a grade evaluation platform, and transmitting the loop display coefficient HX to a real-time analysis module and a risk evaluation module after the grade evaluation platform receives the loop display coefficient HX;
the real-time analysis module is used for carrying out real-time analysis on the storage environment of the dangerous chemicals and sending an environment alarm signal to the grade evaluation platform when the storage environment of the detection area does not meet the requirement, and the grade evaluation platform sends the environment alarm signal to the period analysis module and the mobile phone terminal of the manager after receiving the environment alarm signal;
the period analysis module is used for carrying out trend analysis on the storage environment in the dangerous chemical storage space: generating a loop detection period, dividing the loop detection period into a plurality of loop detection periods, performing steep rise analysis at the end time of the loop detection period, and marking the loop detection period as a steep rise period, a single rise period or a stable period;
the risk assessment module is used for detecting and analyzing the storage risk of the dangerous chemicals: when the risk assessment module receives the environment alarm signal, marking the annular detection time period where the receiving time of the environment alarm signal is positioned as an alarm time period; and acquiring triple data SC, double data EC and single standard data DB of the dangerous chemical storage space, performing numerical calculation to obtain a risk coefficient FX, and marking the risk level of the dangerous chemical in the circular inspection period as a first level, a second level or a third level according to the numerical value of the risk coefficient FX.
2. The dangerous chemical risk level assessment system based on artificial intelligence storage according to claim 1, wherein the process of obtaining the thermal display data WX comprises the following steps: acquiring a temperature range and an air temperature value in a detection area, marking an average value of a maximum boundary value and a minimum boundary value of the temperature range as Wen Junzhi, and marking an absolute value of a difference value between the air temperature value and Wen Junzhi as temperature display data WX; the acquisition process of the wet display data SX comprises the following steps: acquiring a humidity range and an air humidity value in a detection area, marking an average value of a maximum boundary value and a minimum boundary value of the humidity range as a wet average value, and marking an absolute value of a difference value between the air humidity value and the wet average value as wet display data SX; the dust data HC is a dust concentration value of air in the detection area.
3. The dangerous chemical risk level assessment system based on artificial intelligence storage according to claim 1, wherein the specific process of comparing the loop display coefficient HX of the detection area with the loop display threshold HXmax comprises the following steps: if the loop display coefficient HX is smaller than the loop display threshold HXmax, judging that the storage environment in the detection area meets the requirement; if the loop display coefficient HX is greater than or equal to the loop display threshold HXmax, judging that the storage environment in the detection area does not meet the requirement.
4. The dangerous chemical risk level assessment system based on artificial intelligence storage according to claim 1, wherein the specific process of performing steep rise analysis at the end time of the loop detection period comprises: obtaining the maximum value and the minimum value of the loop display coefficient HX of the detection area in the loop detection period, marking the maximum value and the minimum value as a loop display high value and a loop display low value respectively, marking the difference value between the loop display high value and the loop display low value as a loop display peak valley value, marking the difference value between the loop display high value and the detection time of the loop display low value as a peak Gu Shichang, marking the ratio of the loop display peak valley value and a peak Gu Shichang as a steep rise coefficient, obtaining a steep rise threshold value through a storage module, and comparing the steep rise coefficient with the steep rise threshold value: if the steep rise coefficient is smaller than the steep rise threshold, judging that the environmental change trend of the detection area in the corresponding annular detection period meets the requirement, and marking the trend characteristic of the corresponding detection area in the annular detection period as stable; if the steep rise coefficient is larger than or equal to the steep rise threshold, judging that the environmental change trend of the detection area in the corresponding annular detection period does not meet the requirement, and marking the trend characteristic of the corresponding detection area in the annular detection period as abrupt rise; if the change trend of all the detection areas in the annular detection period is stable, marking the corresponding annular detection period as a stable period; otherwise, marking the corresponding loop detection time period as a steep rise time period, and sending an environment early warning signal to the grade evaluation platform by the period analysis module, wherein the period analysis module sends the environment early warning signal to a mobile phone terminal of a manager after receiving the environment early warning signal.
5. The dangerous chemical risk level assessment system based on artificial intelligence storage of claim 1, wherein the specific process of marking the loop detection period as a single-liter period or a stationary period comprises: the peak Gu Shichang of the detection zone is compared to the duration of the loop detection period: if the peak-valley time length of the detection area is equal to the time length of the loop detection time period, marking the corresponding loop detection time period as a single-liter time period; otherwise, the corresponding loop detection period is marked as a stationary period.
6. The dangerous chemical risk level assessment system based on artificial intelligence storage according to claim 1, wherein the process of acquiring the triple data SC comprises: when the loop detection time period is marked as an alarm time period, a steep rise time period and a single rise time period at the same time, marking the loop detection time period as a triple time period, and marking the number of the triple time periods as triple data SC; the acquisition process of the dual data EC comprises: when the loop detection period is marked as any two of the alarm period, the steep rise period and the single rise period, marking the corresponding loop detection period as a double period, and marking the number of the double periods as double data EC; the acquisition process of the single-label data DB comprises the following steps: the average value of the marked times of the alarm time period, the steep rise time period and the single rise time period in the loop detection period is marked as single-standard data DB.
7. The system for evaluating risk level of dangerous chemicals based on artificial intelligence storage according to claim 1, wherein the specific process of marking the risk level of the circular inspection period as one level, two levels or three levels comprises: acquiring a minimum risk threshold FXmin and a maximum risk threshold FXmax through a storage module, and comparing the risk coefficient FX of the dangerous chemical in the loop detection period with the minimum risk threshold FXmin and the maximum risk threshold FXmax: if FX is less than or equal to FX min, marking the risk level of the dangerous chemical in the circular detection period as three levels; if FXmin is less than FX and less than FXmax, marking the risk level of the dangerous chemical in the circular inspection period as a level; and if FX is more than or equal to FXmax, marking the risk grade of the dangerous chemical in the loop detection period as a grade.
8. A method of operating an artificial intelligence storage based risk level assessment system according to any one of claims 1 to 7, comprising the steps of:
step one: and detecting and analyzing the storage environment of the dangerous chemical: dividing a storage space of dangerous chemicals into a plurality of detection areas, acquiring temperature display data WX, wet display data SX and dust data HC in the detection areas in real time, and performing numerical calculation to obtain a ring display coefficient HX of the detection areas;
step two: and carrying out real-time analysis on the storage environment of the dangerous chemicals: the method comprises the steps of obtaining a loop display threshold HXmax through a storage module, comparing the loop display coefficient HX with the loop display threshold HXmax, and judging whether the storage environment of a detection area meets the requirement or not according to a comparison result;
step three: trend analysis is carried out on the storage environment in the dangerous chemical storage space: generating a loop detection period, dividing the loop detection period into a plurality of loop detection periods, performing steep rise analysis at the end time of the loop detection period, and marking the loop detection period as a stable period, a steep rise period or a single rise period according to the steep rise analysis result;
step four: and detecting and analyzing the storage risk of the dangerous chemical: and (3) carrying out numerical calculation on the marking state of the annular inspection period to obtain a risk coefficient, and marking the risk level of the dangerous chemical in the annular inspection period as a level one, a level two or a level three according to the numerical value of the risk coefficient.
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