CN116665401A - Accident prevention alarm system for chemical production - Google Patents
Accident prevention alarm system for chemical production Download PDFInfo
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- CN116665401A CN116665401A CN202310411426.5A CN202310411426A CN116665401A CN 116665401 A CN116665401 A CN 116665401A CN 202310411426 A CN202310411426 A CN 202310411426A CN 116665401 A CN116665401 A CN 116665401A
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- 238000012824 chemical production Methods 0.000 title claims abstract description 31
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- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000004519 manufacturing process Methods 0.000 claims abstract description 20
- 238000007405 data analysis Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims description 17
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Abstract
The invention discloses an accident prevention alarm system for chemical production, which belongs to the technical field of chemical safety production and comprises a process stage module, a monitoring module, a personnel analysis module and a data analysis module; the process stage module is used for carrying out process splitting of the chemical production process to obtain a target stage and an employee information directory corresponding to the chemical production process; the monitoring module is used for monitoring the production process of each target stage to obtain corresponding monitoring data; the personnel analysis module is used for analyzing the monitoring proportion of each employee corresponding to each target stage and obtaining monitoring employee auxiliary data; the data analysis module is used for carrying out data, acquiring monitoring data of each target stage acquired by the monitoring module in real time, setting standard data of each target stage, acquiring check data, establishing a data check model, checking the check data through the data check model, acquiring check results, and carrying out accident prevention treatment according to the acquired check results.
Description
Technical Field
The invention belongs to the technical field of chemical safety production, and particularly relates to an accident prevention alarm system for chemical production.
Background
In the field of chemical production, safety accidents are often caused by improper operation, and through analysis, the safety accidents mainly occur in a manual operation part, and the reasons such as experience of workers, misoperation and the like easily cause errors in the quantity, sequence and the like of raw materials in the chemical production process, so that the safety accidents occur; however, in the current chemical production, manual work is also indispensable, and therefore, how to perform safety monitoring and early warning on the manual operation part in the chemical production is particularly important.
The patent with the publication number of CN110275473A discloses an intelligent chemical safety production monitoring system, which relates to the technical field of safety production and comprises an intelligent monitoring terminal, wherein the intelligent monitoring terminal is connected with a data processing terminal in a wireless or wired mode, and the data processing terminal is electrically connected with a display terminal, an alarm terminal and a control terminal. Video conditions in the chemical production factory building are monitored in real time through the cameras, the gas concentration change conditions in the factory building are monitored in real time through various sensors, temperature, pressure and smoke data and whether fire disaster and other conditions occur or not, multi-layer alarming is carried out when accidents occur, production workers are reminded to evacuate as soon as possible, related equipment is closed, and security personnel are timely informed to process the accidents at the first time when the fires occur. However, the above-mentioned patent is mainly aimed at handling after accident, and is not related to how to avoid accident or reduce the influence of accident as much as possible; therefore, the invention provides an accident prevention alarm system for chemical production.
Disclosure of Invention
In order to solve the problems of the scheme, the invention provides an accident prevention alarm system for chemical production.
The aim of the invention can be achieved by the following technical scheme:
an accident prevention alarm system for chemical production comprises a process stage module, a monitoring module, a personnel analysis module and a data analysis module;
the process stage module is used for carrying out process splitting of the chemical production process to obtain a target stage and an employee information directory corresponding to the chemical production process.
Further, the working method of the process stage module comprises the following steps:
acquiring a production process needing accident prevention alarm, dividing the acquired production process into a plurality of process stages, and screening the acquired process stages to acquire corresponding target stages; and acquiring staff information in the enterprise, matching the staff with the corresponding target stage according to the acquired target stage and the staff information, and building a staff information directory after summarizing.
The monitoring module is used for monitoring the production process of each target stage to obtain corresponding monitoring data.
Further, the working method of the monitoring module comprises the following steps:
acquiring accident data which are currently happened in each target stage, identifying operation steps corresponding to each accident data, marking the operation steps as first steps, acquiring operation steps which can be monitored in the target stage by current monitoring equipment, marking the operation steps as second steps, comparing the first steps with the second steps to acquire operation steps which are lack in the second steps, marking the operation steps as monitoring steps to be selected, checking the monitoring steps to be selected, monitoring and supplementing the monitoring steps to be selected which pass the checking, acquiring a detection scheme, and acquiring the data of the target stage according to the acquired monitoring scheme to acquire the monitoring data of the target stage.
The personnel analysis module is used for analyzing the monitoring proportion of each employee corresponding to each target stage and obtaining monitoring employee auxiliary data.
Further, the working method of the personnel analysis module comprises the following steps:
the method comprises the steps of obtaining a target stage and an employee information directory, determining operation steps monitored in the target stage, marking the operation steps as monitoring steps, setting risk values of all the monitoring steps, analyzing the employee information directory, obtaining correction coefficients of corresponding employees in the target stage relative to all the monitoring steps, calculating corresponding operation evaluation values and specific gravity values according to the obtained correction coefficients and the risk values, and integrating the operation evaluation values corresponding to all the monitoring steps and the specific gravity values of the target stage into monitoring employee auxiliary data.
Further, the method of calculating the operation evaluation value from the obtained correction coefficient and risk value includes:
marking the monitoring step as i, wherein i=1, 2, … …, n being a positive integer; the obtained correction coefficients and risk values are labeled βi and FXi, respectively, and corresponding operation evaluation values are calculated according to the formula QYi =βi×fxi.
Further, the method for calculating the specific gravity value according to the obtained correction coefficient and the risk value comprises the following steps:
according to the formulaAnd calculating a corresponding specific gravity value.
The data analysis module is used for carrying out data, acquiring monitoring data of each target stage acquired by the monitoring module in real time, setting standard data of each target stage, integrating the monitoring data, employee information, monitoring employee auxiliary data and standard data of each target stage into check data, establishing a data check model, checking the check data through the data check model to obtain a check result, wherein the check result comprises check normal, check abnormal and abnormal data corresponding to the check abnormal, when the check result is check normal, no operation is carried out, when the check result is check abnormal, corresponding alarm information is generated according to the abnormal data, and accident prevention processing is carried out according to the generated alarm information.
Compared with the prior art, the invention has the beneficial effects that:
through the mutual coordination among the process stage module, the monitoring module, the personnel analysis module and the data analysis module, the intelligent monitoring of chemical production is realized, accidents possibly caused by the operation non-compliance are monitored in time, and the accidents are timely processed according to the monitoring results, so that the accidents are avoided as much as possible; and according to the actual conditions of each employee, the monitoring and analysis distinguishing treatment is carried out, so that the maximum effect of monitoring resources is realized under limited resources, the safe operation of chemical production is ensured, and the possible damage of accidents is reduced as far as possible.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
As shown in FIG. 1, the accident prevention alarm system for chemical production comprises a process stage module, a monitoring module, a personnel analysis module and a data analysis module;
the process stage module is used for carrying out process splitting of a chemical production process, splitting a certain chemical product production process into a plurality of process stages according to a production process flow, screening each obtained process stage according to the safety monitoring requirements of different process stages, and selecting the process stage needing to be monitored as a target stage; screening is mainly carried out according to the probability of accidents, the degree of manual participation and the like; the intelligent judgment can be carried out by setting a corresponding judgment model based on the probability of occurrence of accidents, the degree of manual participation and the like, and particularly, the intelligent judgment can be carried out by correspondingly adjusting the intelligent judgment model in a manual mode according to the actual production condition and comparing and judging the intelligent judgment model according to preset thresholds; because the production process flows of all chemical industries are mature and familiar, the corresponding target stage can be set according to the production process directly by a manual mode.
Acquiring staff information in an enterprise, wherein the staff information comprises personal information, capability, job title, work experience, responsible process flow and the like; matching staff members to corresponding target stages according to staff member information of each staff member; and further, each target stage to be monitored and a corresponding employee information directory in the chemical production process are obtained, and the employee information directory is used for counting the information of employees according to the needs.
The monitoring module is used for monitoring the production process of each target stage to obtain corresponding monitoring data; in order to realize the comprehensive monitoring of each target stage, the monitoring method of each current target stage needs to be analyzed firstly to judge whether the comprehensive monitoring of the target stage can be realized, which operation step of the current target stage the accident data occur in can be analyzed by summarizing all the accident data of the current target stage, then the analysis of the existing monitoring method is carried out according to the step to judge whether the operation step can be realized, if not, the corresponding monitoring process needs to be added, the comprehensive monitoring of the target stage is further realized, and the early analysis and prevention of the accident can be realized only if the monitoring is comprehensive.
In one embodiment, because the defect detection and leak repair are needed by a manual participation mode, when the enterprise does not need to monitor multiple production processes, the complete supplement of the existing monitoring method can be completely performed manually, a monitoring scheme is obtained, and the data acquisition of a target stage is performed according to the obtained monitoring scheme, so that the monitoring data of the target stage is obtained.
In another embodiment, the improvement is performed by adopting a manual mode, and when more production processes are required to be monitored, larger human resources are required to be consumed, so that the embodiment is provided, specifically:
acquiring accident data of the occurrence process of each target stage based on the Internet and an enterprise database, wherein the enterprise database refers to a database for storing historical accident data; identifying operation steps corresponding to each accident data, and marking the operation steps as first steps, namely, which operation step has a problem, so that the accidents are caused; the method comprises the steps of obtaining operation steps which can be monitored by current monitoring equipment in a target stage, marking the operation steps as second steps, comparing the first steps with the second steps to obtain operation steps which are lack in the second steps, marking the operation steps as monitoring steps to be selected, checking the monitoring steps to be selected in a manual mode, monitoring and supplementing the checked monitoring steps to be selected to obtain a detection scheme, and acquiring data of the target stage according to the obtained monitoring scheme to obtain monitoring data of the target stage.
The personnel analysis module is used for analyzing the monitoring proportion of each employee corresponding to each target stage, and because the data processing sequence and different monitoring degrees of each employee always exist in the data processing and monitoring process, reasonable resource allocation is required under limited resources, and possible accidents are found out as quickly as possible, and the specific process is as follows:
the method comprises the steps of acquiring a target stage and an employee information directory analyzed by a process stage module, determining operation steps monitored in the target stage according to an analysis process in a monitoring module, marking the operation steps as monitoring steps, setting risk values of all the monitoring steps, wherein the risk values are set according to the probability of accidents of the monitoring steps and the severity of the accidents, and can be set manually or a corresponding risk analysis model is established based on a CNN (computer numerical network) or a DNN (computer numerical network), analyzing accident data historically generated by all the monitoring steps through the risk analysis model and outputting the corresponding risk values; establishing a corresponding staff analysis model based on a CNN (computer numerical network) or a DNN (computer numerical network), establishing a corresponding training set by a manual mode for training, analyzing staff information lists through the staff analysis model after successful training to obtain correction coefficients of corresponding staff relative to each monitoring step at the target stage, namely evaluating the probability that the staff may have misoperation in each monitoring step according to data such as experience of the staff, and setting the corresponding correction coefficients; because ofNeural networks are prior art in the art, and therefore, the specific setup and training process is not described in detail in this disclosure; marking the monitoring step as i, wherein i=1, 2, … …, n being a positive integer; the obtained correction coefficients and risk values are labeled βi and FXi, respectively, and corresponding operation evaluation values are calculated according to the formula QYi =βi×fxi, according to the formulaAnd calculating a corresponding specific gravity value, and integrating the operation evaluation value corresponding to each monitoring step and the specific gravity value of the target stage into monitoring staff auxiliary data.
The data analysis module is used for carrying out data, acquiring monitoring data of each target stage collected by the monitoring module in real time, setting standard data of each target stage according to corresponding operation specifications, process requirements and the like, namely setting standard data of each monitoring step in each target stage, and carrying out corresponding setting in an existing mode; acquiring monitoring staff auxiliary data of staff in each target stage; and according to personnel information in the monitoring data and the auxiliary data of the monitoring staff, adjusting the analysis resource distribution and the analysis sequence, and then comparing the monitoring data with the corresponding standard data to obtain a checking result.
In order to realize intelligent analysis of data, a corresponding data check model is established based on a CNN network or a DNN network, a corresponding training set is established in a manual mode for training, monitoring data of each target stage, employee information of each target stage, monitoring employee auxiliary data and standard data are input into the data check model for analysis through analysis of the data check model after successful training, corresponding check results are output, the combination results comprise check normal, check abnormal and abnormal data corresponding to check abnormal, the abnormal data comprise operators, operation steps, data not conforming to the standard and the like, when abnormal is checked, corresponding alarm information is generated according to the abnormal data for corresponding accident prevention treatment, a specific treatment scheme is set by a corresponding enterprise, and corresponding accident prevention treatment plans can be set according to different alarm types or abnormal data.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (8)
1. The accident prevention alarm system for chemical production is characterized by comprising a process stage module, a monitoring module, a personnel analysis module and a data analysis module;
the process stage module is used for carrying out process splitting of the chemical production process to obtain a target stage and an employee information directory corresponding to the chemical production process;
the monitoring module is used for monitoring the production process of each target stage to obtain corresponding monitoring data;
the personnel analysis module is used for analyzing the monitoring proportion of each employee corresponding to each target stage and obtaining monitoring employee auxiliary data;
the data analysis module is used for carrying out data, acquiring monitoring data of each target stage acquired by the monitoring module in real time, setting standard data of each target stage, integrating the monitoring data, employee information, monitoring employee auxiliary data and standard data of each target stage into check data, establishing a data check model, checking the check data through the data check model, acquiring check results, and carrying out accident prevention treatment according to the acquired check results.
2. The accident prevention alarm system for chemical production of claim 1, wherein the working method of the process stage module comprises the following steps:
acquiring a production process needing accident prevention alarm, dividing the acquired production process into a plurality of process stages, and screening the acquired process stages to acquire corresponding target stages; and acquiring staff information in the enterprise, matching the staff with the corresponding target stage according to the acquired target stage and the staff information, and building a staff information directory after summarizing.
3. The accident prevention alarm system for chemical production of claim 1, wherein the working method of the monitoring module comprises:
acquiring accident data which are currently happened in each target stage, identifying operation steps corresponding to each accident data, marking the operation steps as first steps, acquiring operation steps which can be monitored in the target stage by current monitoring equipment, marking the operation steps as second steps, comparing the first steps with the second steps to acquire operation steps which are lack in the second steps, marking the operation steps as monitoring steps to be selected, checking the monitoring steps to be selected, monitoring and supplementing the monitoring steps to be selected which pass the checking, acquiring a detection scheme, and acquiring the data of the target stage according to the acquired monitoring scheme to acquire the monitoring data of the target stage.
4. The accident prevention alarm system for chemical production of claim 1, wherein the working method of the personnel analysis module comprises the following steps:
the method comprises the steps of obtaining a target stage and an employee information directory, determining operation steps monitored in the target stage, marking the operation steps as monitoring steps, setting risk values of all the monitoring steps, analyzing the employee information directory, obtaining correction coefficients of corresponding employees in the target stage relative to all the monitoring steps, calculating corresponding operation evaluation values and specific gravity values according to the obtained correction coefficients and the risk values, and integrating the operation evaluation values corresponding to all the monitoring steps and the specific gravity values of the target stage into monitoring employee auxiliary data.
5. The accident prevention warning system for chemical production of claim 4 wherein the method for calculating the operational assessment value from the obtained correction factors and risk values further comprises:
marking the monitoring step as i, wherein i=1, 2, … …, n being a positive integer; the obtained correction coefficients and risk values are labeled βi and FXi, respectively, and corresponding operation evaluation values are calculated according to the formula QYi =βi×fxi.
6. The accident prevention warning system for chemical production of claim 5 wherein the method for calculating the specific gravity value from the obtained correction factor and risk value comprises:
according to the formulaAnd calculating a corresponding specific gravity value.
7. The accident prevention alarm system for chemical production according to claim 1, wherein the check result includes check normal, check abnormal and abnormal data corresponding to the check abnormal.
8. The accident prevention alarm system for chemical production of claim 7, wherein the accident prevention processing method according to the obtained checking result comprises the following steps:
and when the checking result is that checking is normal, not operating, and when the checking result is that checking is abnormal, generating corresponding alarm information according to abnormal data, and carrying out accident prevention treatment according to the generated alarm information.
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| CN202310411426.5A CN116665401A (en) | 2023-04-18 | 2023-04-18 | Accident prevention alarm system for chemical production |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116954285A (en) * | 2023-09-19 | 2023-10-27 | 星璟材料科技(南通)有限公司 | Intelligent temperature regulating system of plastic processing machine |
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- 2023-04-18 CN CN202310411426.5A patent/CN116665401A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116954285A (en) * | 2023-09-19 | 2023-10-27 | 星璟材料科技(南通)有限公司 | Intelligent temperature regulating system of plastic processing machine |
| CN116954285B (en) * | 2023-09-19 | 2023-12-19 | 星璟材料科技(南通)有限公司 | Intelligent temperature regulating system of plastic processing machine |
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