CN117079442B - Chemical industry park hazardous chemical gas leakage diffusion monitoring system based on data analysis - Google Patents
Chemical industry park hazardous chemical gas leakage diffusion monitoring system based on data analysis Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention relates to the technical field of hazardous chemical gas leakage and diffusion monitoring, which is used for solving the problem of unreasonable management of the existing hazardous chemical gas leakage and diffusion, in particular to a chemical industry park hazardous chemical gas leakage and diffusion monitoring system based on data analysis, comprising a supervision platform, a data acquisition unit, a transportation pipe feedback unit, an early warning management unit, a self-checking processing unit, an environment influence unit, a management and control analysis unit and a refinement influence unit; according to the invention, the operation state of the monitoring equipment is analyzed from the two angles of equipment operation and information transmission, so that the accuracy of an analysis result is ensured, the support for the follow-up hazardous gas leakage diffusion monitoring is facilitated, on the premise that the monitoring equipment is normal, the hazard data is analyzed through diffusion feedback, namely, the hazard data is analyzed by combining the environment, and reasonable early warning management is performed according to different grades, so that the rationality of gas diffusion management and the accuracy of early warning are ensured, and the reasonable scheduling of management personnel is facilitated.
Description
Technical Field
The invention relates to the technical field of hazardous chemical gas leakage and diffusion monitoring, in particular to a chemical industry park hazardous chemical gas leakage and diffusion monitoring system based on data analysis.
Background
Along with the continuous promotion of the industrialization process, various gases are increasingly widely applied to industrial production and daily life of people, and the industrial production, chemical industry, electric power and other industries are involved, such as freon used by an air conditioning and refrigerating system, various mixed gases (NO 2, NO and CO) generated by boiler combustion and the like, the use of natural gas is more closely related to the life of each person, and the gases, especially part of flammable and explosive dangerous gases, once leaked, can cause serious harm to the environment, even cause serious safety accidents such as fire, explosion and the like, and bring immeasurable loss and harm to enterprises, society and individuals;
with the development of vision technology, for detecting gas leakage, a gas sensor is used for detecting gas in a traditional way, only fixed-point detection can be performed, colorless and odorless gas leakage can be monitored in a large area by using a special infrared detector, infrared imaging is performed on the gas leakage according to environmental temperature change generated by the gas in the process of discharging and the outside, and the gas leakage position and scale are detected according to infrared thermal imaging, however, the dangerous gas leakage diffusion area cannot be rationally managed, and the comprehensive analysis on the dangerous gas leakage diffusion situation cannot be performed in combination with the environmental condition of the gas leakage diffusion area, so that the accuracy of an analysis result is affected, the management rationality of the dangerous gas leakage diffusion is not facilitated, and meanwhile, the reasonable arrangement of personnel is not facilitated;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a chemical industry park hazardous gas leakage and diffusion monitoring system based on data analysis, which solves the technical defects, and analyzes the operation state of monitoring equipment from two angles of equipment operation and information transmission by performing operation supervision feedback analysis on operation data, so as to ensure the accuracy of analysis results, support the subsequent hazardous gas leakage and diffusion monitoring, and perform diffusion influence evaluation analysis on environment data on the premise that the monitoring equipment is normal, so as to know the influence condition of the environment monitored by the monitoring equipment on the gas leakage and diffusion, further perform reasonable and accurate early warning on the monitoring area in combination with the environment influence condition, and perform diffusion feedback analysis on the hazard data in a reasonable and targeted manner in combination with the environment, so as to know the serious condition of the gas diffusion, further perform reasonable and early warning management according to different grades, further perform reasonable and early warning management analysis on the environment, further improve the rationality of the gas leakage and manage the reasonable and deep scheduling personnel.
The aim of the invention can be achieved by the following technical scheme: the chemical industry park hazardous chemical gas leakage and diffusion monitoring system based on data analysis comprises a supervision platform, a data acquisition unit, a pipe conveying feedback unit, an early warning management unit, a self-checking processing unit, an environment influence unit, a management analysis unit and a refinement influence unit;
when the supervision platform generates a management command, the management command is immediately sent to the data acquisition unit, the data acquisition unit immediately acquires operation data of the monitoring equipment after receiving the management command, the operation data comprises an operation interference value and a transmission risk value, the operation data is sent to the management feedback unit, the management feedback unit immediately carries out operation supervision feedback analysis on the operation data after receiving the operation data, the obtained alarm signal and abnormal signal are sent to the early warning management unit, and the obtained feedback signal is sent to the self-checking processing unit and the environment influence unit;
the self-checking processing unit immediately acquires an infrared characteristic image of a region monitored by the monitoring equipment after receiving the feedback signal, carries out safety supervision and early warning analysis on the infrared characteristic image, and sends an obtained leakage signal to the management and control analysis unit;
the environment influence unit immediately acquires environment data of a region monitored by the monitoring equipment after receiving the feedback signal, wherein the environment data comprises a temperature change influence value and an air speed flow value, carries out diffusion influence evaluation analysis on the environment data, and sends the obtained diffusion influence value to the management and control analysis unit;
the control analysis unit immediately collects hazard data of a monitoring area after receiving the leakage signal and the diffusion influence value, wherein the hazard data comprises gas leakage quantity, leakage source area and internal and external pressure difference in unit time, diffusion feedback analysis is carried out on the hazard data to obtain a diffusion hazard evaluation value coefficient KP, a primary early warning signal, a secondary early warning signal and a tertiary early warning signal, the obtained secondary early warning signal is sent to the thinning influence unit, and the obtained primary early warning signal and tertiary early warning signal are sent to the early warning management unit through the thinning influence unit;
and after receiving the secondary early warning signal, the refinement influence unit immediately carries out deep division management analysis on the diffusion hazard evaluation value coefficient KP corresponding to the secondary early warning signal, and sends the obtained secondary signal and the obtained advanced signal to the early warning management unit.
Preferably, the analysis process of the operation state of the pipe transporting feedback unit is as follows:
the method comprises the steps of collecting duration from starting operation time to finishing operation time of monitoring equipment, marking the duration as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, obtaining operation interference values and transmission risk values of the monitoring equipment in each sub-time period, wherein the operation interference values represent product values obtained by carrying out data normalization processing on average operation voltage and operation temperature change values of the monitoring equipment in the sub-time periods, the transmission risk values represent ratio values obtained by carrying out data normalization processing on electromagnetic interference values and transmission bandwidths, constructing a set A of operation interference values, obtaining a maximum subset and a minimum subset in the set A, marking differences between the maximum subset and the minimum subset in the set A as risk span values, and comparing the risk span values with preset risk span value thresholds recorded and stored in the risk span values.
If the risk span value is greater than or equal to a preset risk span value threshold value, generating an alarm signal;
and if the risk span value is smaller than the preset risk span value threshold, generating a normal instruction.
Preferably, when the pipe-transporting feedback unit generates a normal instruction:
acquiring transmission risk values of monitoring equipment in each sub-time period, establishing a rectangular coordinate system by taking the number of the sub-time periods as an X axis and taking the transmission risk values as a Y axis, drawing a transmission risk value curve in a dot drawing mode, drawing a preset transmission risk value threshold curve in the coordinate system, acquiring a product value obtained by carrying out data normalization processing on the length of a line segment above the preset transmission risk value threshold curve and the area surrounded by the line segment above the preset transmission risk value threshold curve and the preset transmission risk value threshold curve from the coordinate system, marking the product value as a risk influence value, and comparing the risk influence value with a preset risk influence value threshold recorded and stored in the product value as a risk influence value:
if the risk influence value is greater than or equal to a preset risk influence value threshold, generating an abnormal signal, and sending the abnormal signal to an early warning management unit, wherein the early warning management unit immediately makes a preset early warning operation corresponding to the abnormal signal after receiving the abnormal signal;
and if the risk influence value is smaller than the preset risk influence value threshold value, generating a feedback signal.
Preferably, the safety supervision and early warning analysis process of the self-checking processing unit is as follows:
acquiring an infrared characteristic image of a region monitored by monitoring equipment in a time threshold, preprocessing the infrared characteristic image, acquiring a suspected gas region, acquiring a gas concentration value of the suspected gas region, and comparing the gas concentration value with a preset gas concentration value threshold recorded and stored in the interior of the gas concentration value to analyze:
if the gas concentration value is smaller than the preset gas concentration value threshold value, no signal is generated;
and if the gas concentration value is greater than or equal to a preset gas concentration value threshold value, generating a leakage signal.
Preferably, the diffusion influence evaluation analysis process of the environmental influence unit is as follows:
acquiring temperature change influence values of areas monitored by monitoring equipment in each sub-time period, wherein the temperature change influence values represent product values obtained by carrying out data normalization processing on parts of the temperature change values of the monitoring areas exceeding preset temperature change values and the temperature change values in unit time in the sub-time period, and the temperature change influence values are numbered as WBi;
dividing a sub-time period into k sub-time nodes, wherein k is a natural number larger than zero, acquiring a wind speed flow value of a region monitored by monitoring equipment in each sub-time node, establishing a rectangular coordinate system by taking time as an X axis and the wind speed flow value as a Y axis, drawing a wind speed flow value curve in a dot drawing mode, acquiring a maximum peak value and a minimum trough value from the wind speed flow value curve, marking a mean value of a difference value between the maximum peak value and the minimum trough value as a wind speed influence mean value, and further acquiring a wind speed influence mean value FJi of the region monitored by the monitoring equipment in each sub-time period;
according to the formulaObtaining diffusion influence evaluation coefficients of each sub-time period, wherein f1 and f2 are weight factor coefficients of temperature change influence values and wind speed influence mean values respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset compensation factor coefficient, the value is 2.446, yxi is the diffusion influence evaluation coefficient of each sub-time period, a set B of diffusion influence evaluation coefficients YXi is constructed, the maximum subset and the minimum subset in the set B are obtained, and the mean value of difference values between the maximum subset and the minimum subset is marked as the diffusion influence value.
Preferably, the diffusion feedback analysis process of the management and control analysis unit is as follows:
acquiring the gas leakage amount of a monitoring area in a time threshold in unit time, acquiring the leakage source area of the monitoring area in each sub-time period, further acquiring the maximum value and the minimum value of the leakage source area, marking the difference value between the maximum value and the minimum value of the leakage source area as a leakage expansion value, acquiring the internal and external pressure difference of the monitoring area in each sub-time period, further acquiring the average value of the internal and external pressure difference of the monitoring area in the time threshold, marking the average value as an influence pressure difference value, and simultaneously acquiring the diffusion influence value of the monitoring area in the time threshold, and further marking the gas leakage amount, the leakage expansion value, the influence pressure difference value and the diffusion influence value in unit time as DQ, XK, YY and KY respectively;
according to the formulaObtaining a diffusion hazard evaluation value coefficient, wherein v1, v2, v3 and v4 are respectively a gas leakage amount, a leakage expansion value, an influence pressure difference value and a diffusion influence value preset scale factor coefficient in unit time, v1, v2, v3 and v4 are positive numbers larger than zero, v5 is a preset correction factor coefficient, the value is 1.886, KP is the diffusion hazard evaluation value coefficient, and the diffusion hazard evaluation value coefficient KP is compared with a preset diffusion hazard evaluation value coefficient interval recorded and stored in the diffusion hazard evaluation value coefficient KP:
if the diffusion hazard evaluation value coefficient KP is larger than the maximum value in the preset diffusion hazard evaluation value coefficient interval, generating a first-level early warning signal;
if the diffusion hazard evaluation value coefficient KP belongs to a preset diffusion hazard evaluation value coefficient interval, generating a secondary early warning signal;
and if the diffusion hazard evaluation value coefficient KP is smaller than the minimum value in the preset diffusion hazard evaluation value coefficient interval, generating a three-level early warning signal.
Preferably, the deep division management analysis process of the refinement influence unit is as follows:
acquiring the time length from the starting time of the monitoring equipment to the current time, marking the time length as the use time length, acquiring the sum value between the total maintenance times and the total fault times of the monitoring equipment in the time length, marking the sum value as a component aging value, simultaneously acquiring the part of a diffusion hazard evaluation value coefficient KP corresponding to a secondary early warning signal exceeding the minimum value in a preset diffusion hazard evaluation value coefficient interval, marking the part as a diffusion hazard value, marking the product value obtained by carrying out data normalization on the component aging value and the diffusion hazard value as an influence hazard value, and comparing the influence hazard value with a preset influence hazard value threshold value recorded and stored in the part as an influence hazard value threshold value:
if the influence hazard value is smaller than a preset influence hazard value threshold, generating a secondary signal;
and if the influence hazard value is greater than or equal to a preset influence hazard value threshold, generating an advanced signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, the operation data is subjected to operation supervision feedback analysis, namely the operation state of the monitoring equipment is analyzed from the two angles of equipment operation and information transmission, so that the accuracy of an analysis result is ensured, the support for the subsequent dangerous gas leakage diffusion monitoring is facilitated, on the premise that the monitoring equipment is normal, the infrared characteristic images are subjected to safety supervision early warning analysis so as to judge whether the gas leakage occurs in the area monitored by the monitoring equipment, so that early warning management is timely performed, and meanwhile, the diffusion influence evaluation analysis is performed on the environmental data so as to know the influence condition of the environment of the area monitored by the monitoring equipment on the gas leakage diffusion, so that the reasonable and accurate early warning is facilitated in combination with the environment influence condition, and meanwhile, the early warning management is reasonably and pertinently performed on the monitoring area;
(2) According to the invention, the hazard data is subjected to diffusion feedback analysis in an information feedback mode, namely, the hazard data is analyzed by combining with the environment, so that the serious condition of gas diffusion is known, and reasonable early warning management is performed according to different grades, so that the rationality of gas diffusion management and the accuracy of early warning are ensured, and the rationality of gas leakage diffusion management is improved by deep division of management analysis, so that reasonable scheduling of treatment personnel is facilitated.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is a partial analysis of the present invention.
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.
Example 1:
referring to fig. 1 to 2, the invention discloses a chemical industry park hazardous gas leakage and diffusion monitoring system based on data analysis, which comprises a supervision platform, a data acquisition unit, a management feedback unit, an early warning management unit, a self-checking processing unit, an environment influence unit, a management analysis unit and a refinement influence unit, wherein the supervision platform is in unidirectional communication connection with the data acquisition unit, the data acquisition unit is in unidirectional communication connection with the management feedback unit, the management feedback unit is in unidirectional communication connection with the early warning management unit, the self-checking processing unit and the environment influence unit are in unidirectional communication connection with the management analysis unit, the management analysis unit is in unidirectional communication connection with the refinement influence unit, and the refinement influence unit is in unidirectional communication connection with the early warning management unit;
when the supervision platform generates the pipe transporting instruction, the pipe transporting instruction is immediately sent to the data acquisition unit, the data acquisition unit immediately acquires the operation data of the monitoring equipment after receiving the pipe transporting instruction, the operation data comprises an operation interference value and a transmission risk value, the operation data is sent to the pipe transporting feedback unit, the pipe transporting feedback unit immediately carries out operation supervision feedback analysis on the operation data after receiving the operation data, namely, the operation state of the monitoring equipment is analyzed from two angles of equipment operation and information transmission, so that the accuracy of an analysis result is ensured, the support is facilitated for subsequent hazardous gas leakage diffusion monitoring, and the specific operation state is analyzed as follows:
the method comprises the steps of collecting duration from starting operation time to finishing operation time of monitoring equipment, marking the duration as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, obtaining operation interference values and transmission risk values of the monitoring equipment in each sub-time period, wherein the operation interference values represent product values obtained by carrying out data normalization processing on average operation voltage and operation temperature change values of the monitoring equipment in the sub-time periods, the transmission risk values represent ratio values obtained by carrying out data normalization processing on electromagnetic interference values and transmission bandwidths, constructing a set A of the operation interference values, obtaining a maximum subset and a minimum subset in the set A, marking differences between the maximum subset and the minimum subset in the set A as risk span values, and comparing the risk span values with preset risk span value thresholds stored in the monitoring equipment to analyze if the number of the risk span values is larger:
if the risk span value is greater than or equal to a preset risk span value threshold value, generating an alarm signal, and sending the alarm signal to an early warning management unit, wherein the early warning management unit immediately makes a preset early warning operation corresponding to the alarm signal after receiving the alarm signal so as to remind a management person to timely manage and maintain monitoring equipment to ensure the operation safety of the monitoring equipment;
if the risk span value is smaller than a preset risk span value threshold value, a normal instruction is generated, when the normal instruction is generated, a transmission risk value of monitoring equipment in each sub-time period is acquired, a rectangular coordinate system is established by taking the number of the sub-time periods as an X axis and the transmission risk value as a Y axis, a transmission risk value curve is drawn in a dot drawing mode, meanwhile, a preset transmission risk value threshold value curve is drawn in the coordinate system, a product value obtained by carrying out data normalization processing on the length of a line segment above the preset transmission risk value threshold value curve and the area surrounded by the line segment above the preset transmission risk value threshold value curve and the preset transmission risk value threshold value curve is acquired from the coordinate system, and the product value is marked as a risk influence value.
If the risk influence value is greater than or equal to a preset risk influence value threshold value, generating an abnormal signal, and sending the abnormal signal to an early warning management unit, wherein the early warning management unit immediately makes a preset early warning operation corresponding to the abnormal signal after receiving the abnormal signal, so that a transmission line is managed in time, the stability and timeliness of image transmission are ensured, the situations of transmission loss and delay are avoided, and the timeliness and the effectiveness of monitoring and analysis are ensured;
if the risk influence value is smaller than the preset risk influence value threshold, generating a feedback signal, and sending the feedback signal to the self-checking processing unit and the environment influence unit;
the self-checking processing unit immediately acquires an infrared characteristic image of a region monitored by the monitoring equipment after receiving the feedback signal, and carries out safety supervision and early warning analysis on the infrared characteristic image so as to judge whether gas leakage occurs in the region monitored by the monitoring equipment, so that early warning management can be carried out timely, and the specific safety supervision and early warning analysis process is as follows:
acquiring an infrared characteristic image of a region monitored by monitoring equipment in a time threshold, preprocessing the infrared characteristic image, acquiring a suspected gas region, acquiring a gas concentration value of the suspected gas region, and comparing the gas concentration value with a preset gas concentration value threshold recorded and stored in the interior of the gas concentration value to analyze:
if the gas concentration value is smaller than the preset gas concentration value threshold value, no signal is generated;
if the gas concentration value is greater than or equal to a preset gas concentration value threshold, generating a leakage signal and sending the leakage signal to a management and control analysis unit;
the environmental impact unit immediately collects environmental data of a monitored area of the monitoring equipment after receiving the feedback signal, wherein the environmental data comprises a temperature change impact value and a wind speed flow value, and carries out diffusion impact assessment analysis on the environmental data so as to know the impact condition of the environment of the monitored area of the monitoring equipment on gas leakage diffusion, so that reasonable and accurate early warning is carried out by combining the environmental impact condition, and the monitoring area is subjected to early warning management reasonably and pertinently, wherein the specific diffusion impact assessment analysis process is as follows:
acquiring temperature change influence values of areas monitored by monitoring equipment in each sub-time period, wherein the temperature change influence values represent product values obtained by carrying out data normalization processing on parts of the temperature change values of the monitoring areas exceeding preset temperature change values and the temperature change values in unit time in the sub-time period, and the temperature change influence values are numbered as WBi, and the larger the value of the temperature change influence value WBi is, the larger the influence on gas diffusion is;
dividing a sub-time period into k sub-time nodes, wherein k is a natural number larger than zero, acquiring a wind speed flow value of a region monitored by monitoring equipment in each sub-time node, establishing a rectangular coordinate system by taking time as an X axis and taking the wind speed flow value as a Y axis, drawing a wind speed flow value curve in a dot drawing mode, acquiring a maximum wave peak value and a minimum wave trough value from the wind speed flow value curve, marking a mean value of a difference value between the maximum wave peak value and the minimum wave trough value as a wind speed influence mean value, further acquiring a wind speed influence mean value of the region monitored by the monitoring equipment in each sub-time period, and acquiring a reference numeral FJi, wherein the wind speed influence mean value FJi is an influence parameter reflecting gas diffusion, and the larger the value of the wind speed influence mean value FJi is, the larger the influence on the gas diffusion is;
according to the formulaObtaining diffusion influence evaluation coefficients of each sub-time period, wherein f1 and f2 are weight factor coefficients of temperature change influence values and wind speed influence mean values respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset compensation factor coefficient, the value is 2.446, yxi is the diffusion influence evaluation coefficient of each sub-time period, a set B of diffusion influence evaluation coefficients YXi is constructed, the maximum subset and the minimum subset in the set B are obtained, the mean value of difference values between the maximum subset and the minimum subset is marked as a diffusion influence value, and the diffusion influence value is sent to a management and control analysis unit.
Example 2:
after receiving leakage signals and diffusion influence values, the management and control analysis unit immediately collects hazard data of a monitoring area, wherein the hazard data comprises gas leakage quantity, leakage source area and internal and external pressure difference in unit time, and diffusion feedback analysis is carried out on the hazard data so as to know the serious condition of gas diffusion, and then reasonable early warning management is carried out according to different grades, so that the rationality of gas diffusion management and the accuracy of early warning are ensured, and the specific diffusion feedback analysis process is as follows:
acquiring the gas leakage amount of a monitoring area in a time threshold in unit time, acquiring the leakage source area of the monitoring area in each sub-time period, further acquiring the maximum value and the minimum value of the leakage source area, marking the difference value between the maximum value and the minimum value of the leakage source area as a leakage expansion value, acquiring the internal and external pressure difference of the monitoring area in each sub-time period, further acquiring the average value of the internal and external pressure difference of the monitoring area in the time threshold, marking the average value as an influence pressure difference value, and simultaneously acquiring the diffusion influence value of the monitoring area in the time threshold, and further marking the gas leakage amount, the leakage expansion value, the influence pressure difference value and the diffusion influence value in unit time as DQ, XK, YY and KY respectively;
according to the formulaObtaining diffusion hazard evaluation value coefficients, wherein v1, v2, v3 and v4 are respectively gas leakage quantity, leakage expansion value, influence pressure difference value and diffusion influence value preset scale factor coefficients in unit time, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, v1, v2, v3 and v4 are positive numbers larger than zero, v5 is a preset correction factor coefficient, the value is 1.886, KP is a diffusion hazard evaluation value coefficient, and the diffusion hazard evaluation value coefficient KP is compared with a preset diffusion hazard evaluation value coefficient interval recorded and stored in the diffusion hazard evaluation value coefficient KP:
if the diffusion hazard evaluation value coefficient KP is larger than the maximum value in the preset diffusion hazard evaluation value coefficient interval, generating a first-level early warning signal;
if the diffusion hazard evaluation value coefficient KP belongs to a preset diffusion hazard evaluation value coefficient interval, generating a secondary early warning signal;
if the diffusion hazard evaluation value coefficient KP is smaller than the minimum value in the preset diffusion hazard evaluation value coefficient interval, generating a three-level early warning signal, wherein the influence degree corresponding to the first-level early warning signal, the second-level early warning signal and the three-level early warning signal is sequentially reduced, the second-level early warning signal is sent to a refinement influence unit, the first-level early warning signal and the third-level early warning signal are sent to an early warning management unit through the refinement influence unit, and the early warning management unit immediately makes preset early warning operation corresponding to the first-level early warning signal and the third-level early warning signal after receiving the first-level early warning signal and the third-level early warning signal, so that the gas leakage diffusion condition is managed reasonably and pertinently, and the rationality and the high efficiency of the gas leakage diffusion management are improved;
after receiving the secondary early warning signal, the refinement influence unit immediately carries out deep division management analysis on the diffusion hazard evaluation value coefficient KP corresponding to the secondary early warning signal so as to improve the rationality of gas leakage diffusion management and reduce the influence of gas leakage diffusion, and the specific deep division management analysis process is as follows:
acquiring the time length from the starting time of the monitoring equipment to the current time, marking the time length as the use time length, acquiring the sum value between the total maintenance times and the total fault times of the monitoring equipment in the time length, marking the sum value as a component aging value, simultaneously acquiring the part of a diffusion hazard evaluation value coefficient KP corresponding to a secondary early warning signal exceeding the minimum value in a preset diffusion hazard evaluation value coefficient interval, marking the part as a diffusion hazard value, marking the product value obtained by carrying out data normalization on the component aging value and the diffusion hazard value as an influence hazard value, and comparing the influence hazard value with a preset influence hazard value threshold value recorded and stored in the part as an influence hazard value threshold value:
if the influence hazard value is smaller than a preset influence hazard value threshold, generating a secondary signal;
if the influence hazard value is greater than or equal to a preset influence hazard value threshold, generating an advanced signal, and sending the secondary signal and the advanced signal to an early warning management unit, wherein the early warning management unit immediately makes preset early warning operation corresponding to the secondary signal and the advanced signal after receiving the secondary signal and the advanced signal so as to improve the rationality of gas leakage diffusion management, reduce the influence of gas leakage diffusion and be beneficial to reasonably carrying out scheduling of management personnel;
in summary, the operation data is subjected to operation supervision feedback analysis, that is, the operation state of the monitoring equipment is analyzed from two angles of equipment operation and information transmission, so that the accuracy of analysis results is guaranteed, support is facilitated for subsequent dangerous gas leakage and diffusion monitoring, and under the premise that the monitoring equipment is normal, safety supervision early warning analysis is performed on the infrared characteristic image so as to judge whether gas leakage occurs in the area monitored by the monitoring equipment, so that early warning management is performed in time, diffusion influence evaluation analysis is performed on environmental data, so that the influence condition of the environment of the area monitored by the monitoring equipment on the gas leakage and diffusion is known, reasonable and accurate early warning is performed on the environment influence condition, meanwhile, reasonable and targeted early warning management is facilitated for the monitoring area, further, diffusion feedback analysis is performed on the hazard data in an information feedback mode, so that the serious condition of the gas diffusion is known, the rationality of the gas diffusion management and the accuracy of early warning are guaranteed according to different grades, and reasonable dispatching and deep dispatching personnel are facilitated through partition management analysis.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (1)
1. The chemical industry park hazardous chemical gas leakage and diffusion monitoring system based on data analysis is characterized by comprising a supervision platform, a data acquisition unit, a transportation pipe feedback unit, an early warning management unit, a self-checking processing unit, an environment influence unit, a management analysis unit and a refinement influence unit;
when the supervision platform generates a management command, the management command is immediately sent to the data acquisition unit, the data acquisition unit immediately acquires operation data of the monitoring equipment after receiving the management command, the operation data comprises an operation interference value and a transmission risk value, the operation data is sent to the management feedback unit, the management feedback unit immediately carries out operation supervision feedback analysis on the operation data after receiving the operation data, the obtained alarm signal and abnormal signal are sent to the early warning management unit, and the obtained feedback signal is sent to the self-checking processing unit and the environment influence unit;
the self-checking processing unit immediately acquires an infrared characteristic image of a region monitored by the monitoring equipment after receiving the feedback signal, carries out safety supervision and early warning analysis on the infrared characteristic image, and sends an obtained leakage signal to the management and control analysis unit;
the environment influence unit immediately acquires environment data of a region monitored by the monitoring equipment after receiving the feedback signal, wherein the environment data comprises a temperature change influence value and an air speed flow value, carries out diffusion influence evaluation analysis on the environment data, and sends the obtained diffusion influence value to the management and control analysis unit;
the control analysis unit immediately collects hazard data of a monitoring area after receiving the leakage signal and the diffusion influence value, wherein the hazard data comprises gas leakage quantity, leakage source area and internal and external pressure difference in unit time, diffusion feedback analysis is carried out on the hazard data to obtain a diffusion hazard evaluation value coefficient KP, a primary early warning signal, a secondary early warning signal and a tertiary early warning signal, the obtained secondary early warning signal is sent to the thinning influence unit, and the obtained primary early warning signal and tertiary early warning signal are sent to the early warning management unit through the thinning influence unit;
the refinement influence unit immediately carries out deep division management analysis on the diffusion hazard evaluation value coefficient KP corresponding to the secondary early warning signal after receiving the secondary early warning signal, and sends the obtained secondary signal and the obtained advanced signal to the early warning management unit;
the operation state of the pipe transporting feedback unit is analyzed as follows:
the method comprises the steps of collecting duration from starting operation time to finishing operation time of monitoring equipment, marking the duration as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, obtaining operation interference values and transmission risk values of the monitoring equipment in each sub-time period, wherein the operation interference values represent product values obtained by carrying out data normalization processing on average operation voltage and operation temperature change values of the monitoring equipment in the sub-time periods, the transmission risk values represent ratio values obtained by carrying out data normalization processing on electromagnetic interference values and transmission bandwidths, constructing a set A of operation interference values, obtaining a maximum subset and a minimum subset in the set A, marking differences between the maximum subset and the minimum subset in the set A as risk span values, and comparing the risk span values with preset risk span value thresholds recorded and stored in the risk span values.
If the risk span value is greater than or equal to a preset risk span value threshold value, generating an alarm signal;
if the risk span value is smaller than a preset risk span value threshold, generating a normal instruction;
when the fortune pipe feedback unit generates a normal instruction:
acquiring transmission risk values of monitoring equipment in each sub-time period, establishing a rectangular coordinate system by taking the number of the sub-time periods as an X axis and taking the transmission risk values as a Y axis, drawing a transmission risk value curve in a dot drawing mode, drawing a preset transmission risk value threshold curve in the coordinate system, acquiring a product value obtained by carrying out data normalization processing on the length of a line segment above the preset transmission risk value threshold curve and the area surrounded by the line segment above the preset transmission risk value threshold curve and the preset transmission risk value threshold curve from the coordinate system, marking the product value as a risk influence value, and comparing the risk influence value with a preset risk influence value threshold recorded and stored in the product value as a risk influence value:
if the risk influence value is greater than or equal to a preset risk influence value threshold, generating an abnormal signal, and sending the abnormal signal to an early warning management unit, wherein the early warning management unit immediately makes a preset early warning operation corresponding to the abnormal signal after receiving the abnormal signal;
if the risk impact value is smaller than a preset risk impact value threshold, generating a feedback signal;
the safety supervision early warning analysis process of the self-checking processing unit is as follows:
acquiring an infrared characteristic image of a region monitored by monitoring equipment in a time threshold, preprocessing the infrared characteristic image, acquiring a suspected gas region, acquiring a gas concentration value of the suspected gas region, and comparing the gas concentration value with a preset gas concentration value threshold recorded and stored in the interior of the gas concentration value to analyze:
if the gas concentration value is smaller than the preset gas concentration value threshold value, no signal is generated;
if the gas concentration value is greater than or equal to a preset gas concentration value threshold value, generating a leakage signal;
the diffusion influence evaluation analysis process of the environmental influence unit is as follows:
acquiring temperature change influence values of areas monitored by monitoring equipment in each sub-time period, wherein the temperature change influence values represent product values obtained by carrying out data normalization processing on parts of the temperature change values of the monitoring areas exceeding preset temperature change values and the temperature change values in unit time in the sub-time period, and the temperature change influence values are numbered as WBi;
dividing a sub-time period into k sub-time nodes, wherein k is a natural number larger than zero, acquiring a wind speed flow value of a region monitored by monitoring equipment in each sub-time node, establishing a rectangular coordinate system by taking time as an X axis and the wind speed flow value as a Y axis, drawing a wind speed flow value curve in a dot drawing mode, acquiring a maximum peak value and a minimum trough value from the wind speed flow value curve, marking a mean value of a difference value between the maximum peak value and the minimum trough value as a wind speed influence mean value, and further acquiring a wind speed influence mean value FJi of the region monitored by the monitoring equipment in each sub-time period;
according to the formulaObtaining diffusion influence evaluation coefficients of each sub-time period, wherein f1 and f2 are weight factor coefficients of temperature change influence values and wind speed influence mean values respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset compensation factor coefficient, the value is 2.446, yxi is the diffusion influence evaluation coefficient of each sub-time period, a set B of diffusion influence evaluation coefficients YXi is constructed, a maximum subset and a minimum subset in the set B are obtained, and the mean value of difference values between the maximum subset and the minimum subset is marked as a diffusion influence value;
the diffusion feedback analysis process of the management and control analysis unit is as follows:
acquiring the gas leakage amount of a monitoring area in a time threshold in unit time, acquiring the leakage source area of the monitoring area in each sub-time period, further acquiring the maximum value and the minimum value of the leakage source area, marking the difference value between the maximum value and the minimum value of the leakage source area as a leakage expansion value, acquiring the internal and external pressure difference of the monitoring area in each sub-time period, further acquiring the average value of the internal and external pressure difference of the monitoring area in the time threshold, marking the average value as an influence pressure difference value, and simultaneously acquiring the diffusion influence value of the monitoring area in the time threshold, and further marking the gas leakage amount, the leakage expansion value, the influence pressure difference value and the diffusion influence value in unit time as DQ, XK, YY and KY respectively;
according to the formulaObtaining diffusion hazard evaluation value coefficients, wherein v1, v2, v3 and v4 are respectively preset scale factor coefficients of gas leakage quantity, leakage expansion value, influence pressure difference value and diffusion influence value in unit time, and v1, v2 and v3V4 is a positive number larger than zero, v5 is a preset correction factor coefficient, the value is 1.886, KP is a diffusion hazard evaluation value coefficient, and the diffusion hazard evaluation value coefficient KP and a preset diffusion hazard evaluation value coefficient interval recorded and stored in the inside of the diffusion hazard evaluation value coefficient are compared and analyzed:
if the diffusion hazard evaluation value coefficient KP is larger than the maximum value in the preset diffusion hazard evaluation value coefficient interval, generating a first-level early warning signal;
if the diffusion hazard evaluation value coefficient KP belongs to a preset diffusion hazard evaluation value coefficient interval, generating a secondary early warning signal;
if the diffusion hazard evaluation value coefficient KP is smaller than the minimum value in the preset diffusion hazard evaluation value coefficient interval, generating a three-level early warning signal;
the deep division management analysis process of the refinement influence unit is as follows:
acquiring the time length from the starting time of the monitoring equipment to the current time, marking the time length as the use time length, acquiring the sum value between the total maintenance times and the total fault times of the monitoring equipment in the time length, marking the sum value as a component aging value, simultaneously acquiring the part of a diffusion hazard evaluation value coefficient KP corresponding to a secondary early warning signal exceeding the minimum value in a preset diffusion hazard evaluation value coefficient interval, marking the part as a diffusion hazard value, marking the product value obtained by carrying out data normalization on the component aging value and the diffusion hazard value as an influence hazard value, and comparing the influence hazard value with a preset influence hazard value threshold value recorded and stored in the part as an influence hazard value threshold value:
if the influence hazard value is smaller than a preset influence hazard value threshold, generating a secondary signal;
and if the influence hazard value is greater than or equal to a preset influence hazard value threshold, generating an advanced signal.
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