CN117690261A - Regional early warning system for monitoring leakage of dangerous chemical gas in factory - Google Patents
Regional early warning system for monitoring leakage of dangerous chemical gas in factory Download PDFInfo
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Abstract
The invention relates to the technical field of gas leakage monitoring and early warning, in particular to an area early warning system for monitoring the leakage of dangerous chemical gas in a factory, which comprises an early warning platform, a data acquisition unit, an operation risk unit, an early warning supervision unit, an environment influence unit, an integration analysis unit and a management unit; the invention analyzes from the three angles of the state, the environment and the early warning of the monitoring equipment to judge whether the monitoring equipment has the problem of early warning delay or not, so that the early warning adjustment is carried out on the monitoring equipment in time to ensure the early warning performance of the monitoring equipment, and different delay levels are rationalized and early warning adjustment is carried out in an information feedback mode to ensure the subsequent early warning effect and the accuracy of the monitoring equipment, and the efficiency of the monitoring equipment is analyzed in an in-depth and combined analysis mode to reasonably and pertinently regulate and control the monitoring equipment so as to ensure the operation safety and the early warning timeliness of the monitoring equipment.
Description
Technical Field
The invention relates to the technical field of gas leakage monitoring and early warning, in particular to a regional early warning system for monitoring dangerous chemical gas leakage in a factory.
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 relate to a plurality of industries such as energy, chemical industry, electric power and the like, and once the gases, particularly part of flammable and explosive dangerous gases, leak, serious harm is caused to the environment, even serious safety accidents such as fire and explosion are caused, immeasurable loss and damage are brought to enterprises, society and individuals, the distribution state and diffusion trend of the leaked gases in the space are effectively estimated, and a gas leakage source is accurately positioned, so that related departments and personnel quickly take effective measures, and the occurrence of serious gas leakage accidents is becoming a urgent problem to be solved;
however, the existing area monitoring and early warning equipment cannot timely and effectively early warn when in operation, and cannot analyze the environmental influence condition of the area, so that the analysis result deviation is overlarge, the rationalization management of the monitoring equipment is affected, the operation safety and early warning timeliness of the monitoring equipment are reduced, whether the early warning delay exists in the detecting equipment or not cannot be analyzed, the timeliness and the accuracy of the early warning management of the subsequent area are reduced, and the rationalization management and control can not be performed according to different delay conditions;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a regional early warning system for monitoring leakage of dangerous chemical gas in a factory, which solves the technical defects, and the invention analyzes from three angles of the state, the environment and the early warning of monitoring equipment to judge whether the monitoring equipment has the problem of early warning delay or not so as to timely perform early warning adjustment on the monitoring equipment, ensure the early warning performance of the monitoring equipment, rationalize different delay grades and perform early warning adjustment in an information feedback mode so as to ensure the subsequent early warning effect and the accuracy of the monitoring equipment, and analyze the efficiency of the monitoring equipment in an in-depth and combined analysis mode so as to reasonably and pertinently regulate the monitoring equipment and ensure the operation safety and the early warning timeliness of the monitoring equipment.
The aim of the invention can be achieved by the following technical scheme: the regional early warning system for monitoring the leakage of the dangerous chemical gas in the factory comprises an early warning platform, a data acquisition unit, an operation risk unit, an early warning supervision unit, an environment influence unit, an integration analysis unit and a management unit;
when the early warning platform generates a management command, the management command is sent to the data acquisition unit, the data acquisition unit immediately acquires state data and early warning data of the monitoring equipment after receiving the management command, the state data comprises an equipment value and a power supply risk value, the early warning data comprises historical early warning times and real-time early warning delay values, the state data and the early warning data are respectively sent to the operation risk unit and the early warning supervision unit, the operation risk unit immediately carries out operation fault risk assessment analysis on the state data after receiving the state data, sends an obtained normal signal to the environment influence unit, and sends an obtained risk signal to the management unit;
the environmental influence unit immediately collects environmental data of the monitoring equipment after receiving the normal signal, wherein the environmental data comprises an internal interference value and an external influence value, carries out influence risk supervision analysis on the environmental data, and sends an obtained environmental influence coefficient H to the early warning supervision unit;
the early warning supervision unit immediately carries out delay risk supervision analysis on the early warning data after receiving the environmental impact coefficient H and the early warning data, sends the obtained qualified signals to the integration analysis unit, and sends the obtained primary delay signals, secondary delay signals and tertiary delay signals to the management unit through the integration analysis unit;
and after receiving the qualified signals, the integrated analysis unit immediately carries out deep evaluation analysis on trend risk values corresponding to the qualified signals, and sends the obtained management and control signals to the management unit.
Preferably, the operation fault risk assessment analysis process of the operation risk unit is as follows:
s1: acquiring monitoring equipment corresponding to a region for monitoring the dangerous chemical gas leakage of a factory, acquiring the duration of a period of time after the monitoring equipment starts to operate, marking the duration as a time threshold, acquiring the equipment value of the monitoring equipment in the time threshold, wherein the equipment value is expressed as a product value obtained by carrying out data normalization on the maintenance average interval duration of the monitoring equipment and the equipment failure times, comparing the equipment value with a stored preset equipment value threshold, and marking a part with the equipment value larger than the preset equipment value threshold as an equipment risk value if the equipment value is larger than the preset equipment value threshold;
s12: dividing a time threshold into i sub-time nodes, wherein i is a natural number larger than zero, acquiring power supply risk values of monitoring equipment in each sub-time node, wherein the power supply risk values represent product values obtained by carrying out data normalization processing on a part of an average reactive power value of an internal circuit of the monitoring equipment exceeding a stored preset average reactive power value threshold and an average resistance value of a circuit port, so as to construct a set A of power supply risk values, acquiring a maximum subset and a minimum subset in the set A, and marking a difference value between the maximum subset and the minimum subset in the set A as a risk span value;
s13: comparing the equipment risk value and the risk span value with a preset equipment risk value threshold value and a preset risk span value threshold value which are recorded and stored in the equipment risk value and the risk span value:
if the equipment risk value is smaller than the preset equipment risk value threshold value and the risk span value is smaller than the preset risk span value threshold value, generating a normal signal;
and if the equipment risk value is greater than or equal to a preset equipment risk value threshold value or the risk span value is greater than or equal to a preset risk span value threshold value, generating a risk signal.
Preferably, the impact risk supervision analysis process of the environmental impact unit is as follows:
acquiring a maximum monitoring area of the monitoring equipment, marking the maximum monitoring area as a target area, and acquiring an internal interference value and an external influence value of the detecting equipment in a time threshold, wherein the internal interference value represents a product value obtained by carrying out data normalization processing on a part of the temperature change value in the monitoring equipment exceeding a stored preset temperature change value threshold and the dust content change value, the external influence value represents a dust particle adhesion volume change value of a mirror surface of the monitoring equipment, and the internal interference value and the external influence value are respectively marked as NG and WY;
according to the formulaAnd obtaining an environmental influence coefficient, wherein alpha and beta are preset weight factor coefficients of an internal interference value and an external influence value respectively, epsilon is a preset correction factor coefficient, alpha, beta and epsilon are positive numbers larger than zero, and H is the environmental influence coefficient.
Preferably, the delay risk supervision and analysis process of the early warning supervision unit is as follows:
acquiring historical early warning times of the monitoring equipment, acquiring early warning delay values of each early warning, wherein the early warning delay values refer to product values obtained by carrying out data normalization processing on time length from the moment when the monitoring equipment starts to receive instructions to the moment when the early warning is started and the environmental interference values, the environmental interference values represent product values obtained by carrying out data normalization processing on internal environmental temperature values and dust content values of the monitoring equipment, the historical early warning times are marked as g, the g is a natural number larger than zero, a set B of early warning delay values corresponding to the historical early warning times is further constructed, and meanwhile, the real-time early warning delay values of the monitoring equipment are acquired, the real-time early warning delay value is added into the set B to form a last subset, a rectangular coordinate system is established by taking the subset as an X axis and the early warning delay value as a Y axis, an early warning delay value curve is drawn in a dot drawing mode, the difference value between two endpoints corresponding to all rising segments is obtained from the early warning delay value curve, meanwhile, the sum value of the difference value between the two endpoints corresponding to all the rising segments is marked as a rising trend value, meanwhile, the sum value of the difference value between the two endpoints of all the line segments is marked as a change value, the ratio between the rising trend value and the change value is marked as a trend risk value, and the trend risk value is compared with a preset trend risk value threshold value which is recorded and stored in the trend risk value.
If the trend risk value is smaller than or equal to a preset trend risk value threshold, generating a qualified signal;
and if the trend risk value is greater than the preset trend risk value threshold, generating a feedback instruction.
Preferably, when the early warning supervision unit generates a feedback instruction:
marking a part of which the trend risk value is larger than a preset trend risk value threshold as a delay multiplier value YB, and simultaneously calling a device risk value and a risk span value corresponding to normal monitoring equipment from an operation risk unit, wherein the device risk value and the risk span value are respectively marked as SF and FK;
according to the formulaObtaining a delay risk assessment coefficient, wherein a1, a2, a3 and a4 are preset scale factor coefficients of a trend risk value, a device risk value and a risk span value respectively, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset fault tolerance factor coefficient, the value is 1.668, YW is the delay risk assessment coefficient, and the delay risk assessment coefficient YW is compared with a preset delay risk assessment coefficient interval recorded in the delay risk assessment coefficient:
if the delay risk assessment coefficient YW is larger than the maximum value in the preset delay risk assessment coefficient interval, generating a first-stage delay signal; if the delay risk assessment coefficient YW belongs to a preset delay risk assessment coefficient interval, generating a secondary delay signal; and if the delay risk assessment coefficient YW is smaller than the minimum value in the preset delay risk assessment coefficient interval, generating a three-level delay signal.
Preferably, the in-depth evaluation analysis process of the integrated analysis unit is as follows:
acquiring a trend risk value QF corresponding to the qualified signal, and simultaneously calling a device risk value and a risk span value corresponding to normal monitoring equipment from an operation risk unit, so as to acquire parts of which the device risk value and the risk span value are respectively smaller than a preset device risk value threshold and a preset risk span value threshold, marking the parts as a device safety value and a power supply safety value, and respectively marking the parts as SA and GA;
according to the formulaObtaining an operation efficiency evaluation coefficient of the monitoring equipment, wherein f1, f2 and f3 are preset proportion coefficients of a trend risk value, an equipment safety value and a power supply safety value respectively, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset influence factor coefficient, J is an operation efficiency evaluation coefficient, and the operation efficiency evaluation coefficient J is compared with a preset operation efficiency evaluation coefficient threshold value recorded and stored in the operation efficiency evaluation coefficient J:
if the ratio between the operation efficiency evaluation coefficient J and the preset operation efficiency evaluation coefficient threshold is greater than 1, no signal is generated;
and if the ratio between the operation efficiency evaluation coefficient J and the preset operation efficiency evaluation coefficient threshold is smaller than or equal to 1, generating a control signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, through analyzing from the three angles of the state, the environment and the early warning of the monitoring equipment, the problem of early warning delay of the monitoring equipment is judged, so that early warning adjustment is conveniently carried out on the monitoring equipment in time, and the early warning performance of the monitoring equipment is ensured, namely, through carrying out operation fault risk assessment analysis on state data, whether the abnormal operation risk of the monitoring equipment is too high is judged, so that early warning management is timely and accurately carried out, so that the operation safety of the monitoring equipment is improved, meanwhile, effective data support is provided for regional early warning, and risk supervision analysis is influenced on environmental data, so that the data support is provided for subsequent early warning delay, and the accuracy of analysis results is ensured;
(2) According to the invention, delay risk supervision analysis is carried out on the early warning data under the normal state of the monitoring equipment, whether the early warning delay exists in the monitoring equipment is analyzed by combining the environmental influence coefficient, different delay levels are rationalized and early warning adjustment is carried out in an information feedback mode so as to ensure the follow-up early warning effect and the accuracy of the monitoring equipment, and the efficiency of the monitoring equipment is analyzed in an in-depth and combined analysis mode so as to reasonably and pertinently regulate and control the monitoring equipment, thereby ensuring the operation safety and early warning timeliness of the monitoring equipment.
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 reference diagram 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 present invention is an area early warning system for monitoring leakage of dangerous chemical gas in a factory, which includes an early warning platform, a data acquisition unit, an operation risk unit, an early warning supervision unit, an environmental impact unit, an integration analysis unit and a management unit, wherein the early warning platform is in unidirectional communication connection with the data acquisition unit, the data acquisition unit is in unidirectional communication connection with the operation risk unit and the early warning supervision unit, the operation risk unit is in unidirectional communication connection with the environmental impact unit, the integration analysis unit and the management unit, the environmental impact unit is in unidirectional communication connection with the early warning supervision unit, the early warning supervision unit is in unidirectional communication connection with the integration analysis unit, and the integration analysis unit is in unidirectional communication connection with the management unit;
when the early warning platform generates a management command and sends the management command to the data acquisition unit, the data acquisition unit immediately acquires state data and early warning data of the monitoring equipment after receiving the management command, the state data comprises an equipment value and a power supply risk value, the early warning data comprises historical early warning times and real-time early warning delay values, the state data and the early warning data are respectively sent to the operation risk unit and the early warning supervision unit, the operation risk unit immediately carries out operation fault risk assessment analysis on the state data after receiving the state data so as to judge whether the abnormal operation risk of the monitoring equipment is too high or not, so that early warning management can be carried out timely and accurately, the operation safety of the monitoring equipment is improved, meanwhile, effective data support is provided for regional early warning, and the specific operation fault risk assessment analysis process is as follows:
acquiring monitoring equipment corresponding to a region for monitoring the dangerous chemical gas leakage of a factory, acquiring the duration of a period of time after the monitoring equipment starts to operate, marking the duration as a time threshold, acquiring the equipment value of the monitoring equipment in the time threshold, wherein the equipment value is expressed as a product value obtained by carrying out data normalization on the maintenance average interval duration of the monitoring equipment and the equipment failure times, comparing the equipment value with a stored preset equipment value threshold, and analyzing the equipment value, wherein if the equipment value is larger than the preset equipment value threshold, the part of the equipment value larger than the preset equipment value threshold is marked as an equipment risk value, and the larger the value of the equipment risk value is, the larger the equipment operation abnormal risk is;
dividing a time threshold into i sub-time nodes, wherein i is a natural number larger than zero, acquiring power supply risk values of monitoring equipment in each sub-time node, wherein the power supply risk values represent product values obtained by carrying out data normalization processing on a part of an average reactive power value of an internal circuit of the monitoring equipment exceeding a stored preset average reactive power value threshold and an average resistance value of a circuit port, so as to construct a set A of power supply risk values, acquiring a maximum subset and a minimum subset in the set A, and marking a difference value between the maximum subset and the minimum subset in the set A as a risk span value;
comparing the equipment risk value and the risk span value with a preset equipment risk value threshold value and a preset risk span value threshold value which are recorded and stored in the equipment risk value and the risk span value:
if the equipment risk value is smaller than the preset equipment risk value threshold value and the risk span value is smaller than the preset risk span value threshold value, generating a normal signal and sending the normal signal to the environment influence unit;
if the equipment risk value is greater than or equal to a preset equipment risk value threshold value or the risk span value is greater than or equal to a preset risk span value threshold value, generating a risk signal, and sending the risk signal to a management unit, wherein the management unit immediately makes a preset early warning operation corresponding to the risk signal after receiving the risk signal so as to timely and accurately maintain and manage the monitoring equipment, so that the operation safety of the monitoring equipment is improved;
the environment influence unit immediately collects environment data of the monitoring equipment after receiving the normal signal, the environment data comprises an internal interference value and an external influence value, and the environment data is subjected to influence risk supervision and analysis, so that the follow-up early warning delay provides data support to ensure the accuracy of analysis results, and the specific influence risk supervision and analysis process is as follows:
acquiring a maximum monitoring area of the monitoring equipment, marking the maximum monitoring area as a target area, and acquiring an internal interference value and an external influence value of the detecting equipment in a time threshold, wherein the internal interference value represents a product value obtained by carrying out data normalization processing on a part of the temperature change value in the monitoring equipment exceeding a stored preset temperature change value threshold and the dust content change value, the external influence value represents a dust particle adhesion volume change value of a mirror surface of the monitoring equipment, and the internal interference value and the external influence value are respectively marked as NG and WY;
according to the formulaObtaining an environmental influence coefficient, wherein alpha and beta are preset weight factor coefficients of an internal interference value and an external influence value respectively, epsilon is a preset correction factor coefficient, alpha, beta and epsilon are positive numbers larger than zero, and H is an environmental shadowAnd the environmental influence coefficient H is sent to the early warning supervision unit.
Example 2:
after receiving the environmental influence coefficient H and the early warning data, the early warning supervision unit immediately carries out delay risk supervision analysis on the early warning data to judge whether the monitoring equipment has the problem of early warning delay, so as to timely carry out early warning adjustment on the monitoring equipment to ensure the early warning performance of the monitoring equipment, wherein the specific delay risk supervision analysis process is as follows:
acquiring historical early warning times of the monitoring equipment, acquiring early warning delay values of each early warning, wherein the early warning delay values refer to product values obtained by carrying out data normalization processing on time duration from the moment when the monitoring equipment starts to receive instructions to the moment when the early warning is started and the environmental interference values, the environmental interference values represent product values obtained by carrying out data normalization processing on internal environmental temperature values and dust content values of the monitoring equipment, the historical early warning times are marked as g, the g is a natural number larger than zero, a set B of early warning delay values corresponding to the historical early warning times is further constructed, meanwhile, the real-time early warning delay values of the monitoring equipment are acquired, and the real-time early warning delay values are added into the set B to become the last subset, the method comprises the steps of taking a subset as an X axis, taking an early warning delay value as a Y axis, establishing a rectangular coordinate system, drawing an early warning delay value curve in a dot drawing mode, obtaining differences between two endpoints corresponding to all ascending segments from the early warning delay value curve, marking the sum of the differences between the two endpoints corresponding to all the ascending segments as an ascending trend value, marking the sum of the differences between the two endpoints of all the segments as a change value, marking the ratio between the ascending trend value and the change value as a trend risk value, and comparing the trend risk value with a preset trend risk value threshold value recorded and stored in the trend risk value, wherein the trend risk value is an influence parameter reflecting the early warning state of monitoring equipment:
if the trend risk value is smaller than or equal to a preset trend risk value threshold, generating a qualified signal and sending the qualified signal to an integration analysis unit;
if the trend risk value is greater than a preset trend risk value threshold, generating a feedback instruction, and when the feedback instruction is generated, marking a part of the trend risk value greater than the preset trend risk value threshold as a delay multiplier value, wherein the delay multiplier value YB is an influence parameter reflecting the early-warning state of the monitoring equipment;
meanwhile, the equipment risk value and the risk span value corresponding to the normal monitoring equipment are called from the operation risk unit, and are respectively marked as SF and FK;
according to the formulaObtaining a delay risk assessment coefficient, wherein a1, a2, a3 and a4 are preset scale factor coefficients of a trend risk value, a device risk value and a risk span value respectively, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset fault tolerance factor coefficient, the value is 1.668, YW is the delay risk assessment coefficient, and the delay risk assessment coefficient YW is compared with a preset delay risk assessment coefficient interval recorded in the delay risk assessment coefficient.
If the delay risk assessment coefficient YW is larger than the maximum value in the preset delay risk assessment coefficient interval, generating a first-stage delay signal;
if the delay risk assessment coefficient YW belongs to a preset delay risk assessment coefficient interval, generating a secondary delay signal;
if the delay risk assessment coefficient YW is smaller than the minimum value in the preset delay risk assessment coefficient interval, generating a three-level delay signal, wherein delay effects corresponding to the first-level delay signal, the second-level delay signal and the three-level delay signal are sequentially reduced, the first-level delay signal, the second-level delay signal and the three-level delay signal are sent to a management unit through an integration analysis unit, and the management unit immediately makes preset early warning operations corresponding to the first-level delay signal, the second-level delay signal and the three-level delay signal after receiving the first-level delay signal, the second-level delay signal and the three-level delay signal, so that operation management personnel can perform early warning management on a target area in combination with delay conditions, the management rationality of the target area is improved, and meanwhile reasonable early warning adjustment is performed on monitoring equipment to ensure the follow-up early warning effect and accuracy of the monitoring equipment;
after receiving the qualified signal, the integrated analysis unit immediately carries out deep evaluation analysis on the trend risk value corresponding to the qualified signal so as to reasonably and pertinently regulate and control the monitoring equipment, thereby ensuring the operation safety and early warning timeliness of the monitoring equipment, and the specific deep evaluation analysis process is as follows:
acquiring a trend risk value QF corresponding to a qualified signal, and simultaneously calling a device risk value and a risk span value corresponding to normal monitoring equipment from an operation risk unit, further acquiring parts of which the device risk value and the risk span value are respectively smaller than a preset device risk value threshold and a preset risk span value threshold, respectively marking the parts as a device safety value and a power supply safety value, respectively marking the parts as SA and GA, wherein the device safety value and the power supply safety value are two influence references reflecting the operation efficiency of the detection equipment;
according to the formulaObtaining an operation efficiency evaluation coefficient of the monitoring equipment, wherein f1, f2 and f3 are preset proportion coefficients of a trend risk value, an equipment safety value and a power supply safety value respectively, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset influence factor coefficient, J is an operation efficiency evaluation coefficient, and the operation efficiency evaluation coefficient J is compared with a preset operation efficiency evaluation coefficient threshold value recorded and stored in the operation efficiency evaluation coefficient J:
if the ratio between the operation efficiency evaluation coefficient J and the preset operation efficiency evaluation coefficient threshold is greater than 1, no signal is generated;
if the ratio between the operation efficiency evaluation coefficient J and the preset operation efficiency evaluation coefficient threshold is smaller than or equal to 1, generating a control signal, and sending the control signal to a management unit, wherein the management unit immediately displays preset early warning characters corresponding to the control signal after receiving the control signal, so that a transportation person can timely regulate and control the monitoring equipment to ensure the operation efficiency and the monitoring early warning effect of the monitoring equipment;
in summary, the method and the system analyze from three angles of the state, the environment and the early warning of the monitoring equipment to judge whether the monitoring equipment has the problem of early warning delay, so as to timely perform early warning adjustment on the monitoring equipment to ensure the early warning performance of the monitoring equipment, namely, perform operation fault risk assessment analysis on state data to judge whether the abnormal operation risk of the monitoring equipment is too high, so as to timely and accurately perform early warning management to improve the operation safety of the monitoring equipment, simultaneously help to provide effective data support for regional early warning, perform influence risk supervision analysis on environmental data, provide data support for subsequent early warning delay to ensure the accuracy of analysis results, perform early warning risk supervision analysis on the early warning data in the normal state of the monitoring equipment, perform early warning delay analysis on the monitoring equipment in combination with environmental influence coefficients, perform rational adjustment on different delay grades in an information feedback mode to ensure the subsequent early warning effect and accuracy of the monitoring equipment, and perform analysis on the efficiency of the monitoring equipment in a combined analysis mode so as to reasonably and pertinently ensure the operation safety and the deep warning of the monitoring equipment.
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 (6)
1. The regional early warning system for monitoring the leakage of the dangerous chemical gas in the factory is characterized by comprising an early warning platform, a data acquisition unit, an operation risk unit, an early warning supervision unit, an environment influence unit, an integration analysis unit and a management unit;
when the early warning platform generates a management command, the management command is sent to the data acquisition unit, the data acquisition unit immediately acquires state data and early warning data of the monitoring equipment after receiving the management command, the state data comprises an equipment value and a power supply risk value, the early warning data comprises historical early warning times and real-time early warning delay values, the state data and the early warning data are respectively sent to the operation risk unit and the early warning supervision unit, the operation risk unit immediately carries out operation fault risk assessment analysis on the state data after receiving the state data, sends an obtained normal signal to the environment influence unit, and sends an obtained risk signal to the management unit;
the environmental influence unit immediately collects environmental data of the monitoring equipment after receiving the normal signal, wherein the environmental data comprises an internal interference value and an external influence value, carries out influence risk supervision analysis on the environmental data, and sends an obtained environmental influence coefficient H to the early warning supervision unit;
the early warning supervision unit immediately carries out delay risk supervision analysis on the early warning data after receiving the environmental impact coefficient H and the early warning data, sends the obtained qualified signals to the integration analysis unit, and sends the obtained primary delay signals, secondary delay signals and tertiary delay signals to the management unit through the integration analysis unit;
and after receiving the qualified signals, the integrated analysis unit immediately carries out deep evaluation analysis on trend risk values corresponding to the qualified signals, and sends the obtained management and control signals to the management unit.
2. An area early warning system for factory hazardous chemical gas leakage monitoring according to claim 1, wherein the operational risk unit operational failure risk assessment analysis process is as follows:
s1: acquiring monitoring equipment corresponding to a region for monitoring the dangerous chemical gas leakage of a factory, acquiring the duration of a period of time after the monitoring equipment starts to operate, marking the duration as a time threshold, acquiring the equipment value of the monitoring equipment in the time threshold, wherein the equipment value is expressed as a product value obtained by carrying out data normalization on the maintenance average interval duration of the monitoring equipment and the equipment failure times, comparing the equipment value with a stored preset equipment value threshold, and marking a part with the equipment value larger than the preset equipment value threshold as an equipment risk value if the equipment value is larger than the preset equipment value threshold;
s12: dividing a time threshold into i sub-time nodes, wherein i is a natural number larger than zero, acquiring power supply risk values of monitoring equipment in each sub-time node, wherein the power supply risk values represent product values obtained by carrying out data normalization processing on a part of an average reactive power value of an internal circuit of the monitoring equipment exceeding a stored preset average reactive power value threshold and an average resistance value of a circuit port, so as to construct a set A of power supply risk values, acquiring a maximum subset and a minimum subset in the set A, and marking a difference value between the maximum subset and the minimum subset in the set A as a risk span value;
s13: comparing the equipment risk value and the risk span value with a preset equipment risk value threshold value and a preset risk span value threshold value which are recorded and stored in the equipment risk value and the risk span value:
if the equipment risk value is smaller than the preset equipment risk value threshold value and the risk span value is smaller than the preset risk span value threshold value, generating a normal signal;
and if the equipment risk value is greater than or equal to a preset equipment risk value threshold value or the risk span value is greater than or equal to a preset risk span value threshold value, generating a risk signal.
3. An area early warning system for factory hazardous chemical gas leakage monitoring according to claim 1, wherein the impact risk supervision analysis process of the environmental impact unit is as follows:
acquiring a maximum monitoring area of the monitoring equipment, marking the maximum monitoring area as a target area, and acquiring an internal interference value and an external influence value of the detecting equipment in a time threshold, wherein the internal interference value represents a product value obtained by carrying out data normalization processing on a part of the temperature change value in the monitoring equipment exceeding a stored preset temperature change value threshold and the dust content change value, the external influence value represents a dust particle adhesion volume change value of a mirror surface of the monitoring equipment, and the internal interference value and the external influence value are respectively marked as NG and WY;
according to the formulaAnd obtaining an environmental influence coefficient, wherein alpha and beta are preset weight factor coefficients of an internal interference value and an external influence value respectively, epsilon is a preset correction factor coefficient, alpha, beta and epsilon are positive numbers larger than zero, and H is the environmental influence coefficient.
4. The regional early warning system for factory hazardous gas leakage monitoring according to claim 1, wherein the delayed risk supervision analysis process of the early warning supervision unit is as follows:
acquiring historical early warning times of the monitoring equipment, acquiring early warning delay values of each early warning, wherein the early warning delay values refer to product values obtained by carrying out data normalization processing on time length from the moment when the monitoring equipment starts to receive instructions to the moment when the early warning is started and the environmental interference values, the environmental interference values represent product values obtained by carrying out data normalization processing on internal environmental temperature values and dust content values of the monitoring equipment, the historical early warning times are marked as g, the g is a natural number larger than zero, a set B of early warning delay values corresponding to the historical early warning times is further constructed, and meanwhile, the real-time early warning delay values of the monitoring equipment are acquired, the real-time early warning delay value is added into the set B to form a last subset, a rectangular coordinate system is established by taking the subset as an X axis and the early warning delay value as a Y axis, an early warning delay value curve is drawn in a dot drawing mode, the difference value between two endpoints corresponding to all rising segments is obtained from the early warning delay value curve, meanwhile, the sum value of the difference value between the two endpoints corresponding to all the rising segments is marked as a rising trend value, meanwhile, the sum value of the difference value between the two endpoints of all the line segments is marked as a change value, the ratio between the rising trend value and the change value is marked as a trend risk value, and the trend risk value is compared with a preset trend risk value threshold value which is recorded and stored in the trend risk value.
If the trend risk value is smaller than or equal to a preset trend risk value threshold, generating a qualified signal;
and if the trend risk value is greater than the preset trend risk value threshold, generating a feedback instruction.
5. An area early warning system for factory hazardous gas leakage monitoring according to claim 4, wherein the early warning supervision unit generates a feedback instruction:
marking a part of which the trend risk value is larger than a preset trend risk value threshold as a delay multiplier value YB, and simultaneously calling a device risk value and a risk span value corresponding to normal monitoring equipment from an operation risk unit, wherein the device risk value and the risk span value are respectively marked as SF and FK;
according to the formulaObtaining a delay risk assessment coefficient, wherein a1, a2, a3 and a4 are preset scale factor coefficients of a trend risk value, a device risk value and a risk span value respectively, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset fault tolerance factor coefficient, the value is 1.668, YW is the delay risk assessment coefficient, and the delay risk assessment coefficient YW is compared with a preset delay risk assessment coefficient interval recorded in the delay risk assessment coefficient:
if the delay risk assessment coefficient YW is larger than the maximum value in the preset delay risk assessment coefficient interval, generating a first-stage delay signal; if the delay risk assessment coefficient YW belongs to a preset delay risk assessment coefficient interval, generating a secondary delay signal; and if the delay risk assessment coefficient YW is smaller than the minimum value in the preset delay risk assessment coefficient interval, generating a three-level delay signal.
6. The regional early warning system for factory hazardous gas leakage monitoring according to claim 1, wherein the in-depth evaluation analysis process of the integrated analysis unit is as follows:
acquiring a trend risk value QF corresponding to the qualified signal, and simultaneously calling a device risk value and a risk span value corresponding to normal monitoring equipment from an operation risk unit, so as to acquire parts of which the device risk value and the risk span value are respectively smaller than a preset device risk value threshold and a preset risk span value threshold, marking the parts as a device safety value and a power supply safety value, and respectively marking the parts as SA and GA;
according to the formulaObtaining an operation efficiency evaluation coefficient of the monitoring equipment, wherein f1, f2 and f3 are preset proportion coefficients of a trend risk value, an equipment safety value and a power supply safety value respectively, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset influence factor coefficient, J is an operation efficiency evaluation coefficient, and the operation efficiency evaluation coefficient J is compared with a preset operation efficiency evaluation coefficient threshold value recorded and stored in the operation efficiency evaluation coefficient J:
if the ratio between the operation efficiency evaluation coefficient J and the preset operation efficiency evaluation coefficient threshold is greater than 1, no signal is generated;
and if the ratio between the operation efficiency evaluation coefficient J and the preset operation efficiency evaluation coefficient threshold is smaller than or equal to 1, generating a control signal.
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