CN114139905A - Risk assessment method, system, device and medium for hazardous chemical production enterprise - Google Patents
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Abstract
The invention discloses a risk assessment method, a system, a device and a medium for a hazardous chemical substance production enterprise, belongs to the technical field of risk assessment, and aims to solve the technical problem of how to assess the safety production risk of the hazardous chemical substance production enterprise. The method comprises the following steps: acquiring enterprise operation information related to the production and operation process of a hazardous chemical substance production enterprise, wherein the operation information comprises enterprise basic information and enterprise risk information; monitoring data of each link in the production and operation process of a hazardous chemical production enterprise is collected through a sensor; storing the operation information and the monitoring data as original data to a preposed database; cleaning and converting the original data; and configuring a risk evaluation index based on the target data, and constructing a risk evaluation model based on the weight and the quantitative score of the risk evaluation index, wherein the risk evaluation model calculates the enterprise risk value based on a normal diffusion function.
Description
Technical Field
The invention relates to the technical field of enterprise risk assessment, in particular to a risk assessment method, a system, a device and a medium for a hazardous chemical production enterprise.
Background
The current big data analysis technique that utilizes combines danger article manufacturing enterprise self production operation condition, enterprise historical accident data, enterprise's apparatus for producing sensor real-time data, enterprise's production facility early warning, multidata sources such as alarm information, comprehensive angle come to judge that an enterprise's risk level is at present the result less, because enterprise accident data sample often is less moreover, when assessing the probability that an enterprise hidden danger leads to the occurence of failure, traditional evaluation mode is more on one side, the evaluation result is stable inadequately.
The accident probability is predicted, so that the evaluation result is more scientific and reasonable, effective risk supervision is carried out on the supervision department according to the credibility, major accidents can be effectively prevented and controlled, the loss and the influence caused by the accidents are reduced, and a basis is provided for improving the safety management level.
How to evaluate the safety production risk of hazardous chemical enterprises is a technical problem to be solved.
Disclosure of Invention
The technical task of the invention is to provide a risk assessment method, a system, a device and a medium for hazardous chemical substance production enterprises aiming at the defects, so as to solve the technical problem of how to assess the safety production risk of the hazardous chemical substance enterprises.
In a first aspect, the risk assessment method for the hazardous chemical substance production enterprise comprises the following steps:
acquiring enterprise operation information related to the production and operation process of a hazardous chemical substance production enterprise, wherein the operation information comprises enterprise basic information and enterprise risk information;
monitoring data of each link in the production and operation process of a hazardous chemical production enterprise is collected through a sensor;
storing the operation information and the monitoring data as original data to a preposed database;
cleaning and converting the original data to obtain target data, wherein the cleaning and converting process comprises removing repeated and invalid data;
configuring risk evaluation indexes, configuring weights for each risk evaluation index, quantizing the risk evaluation index based on target data to obtain a quantization score of the risk evaluation index, and constructing a risk evaluation model based on the weights and the quantization scores of the risk evaluation indexes, wherein the risk evaluation model is used for calculating an enterprise risk value based on a normal diffusion function, and the calculation formula of the enterprise risk value is as follows:
wherein W represents an enterprise risk value, i represents a serial number of a risk assessment index, n represents a maximum value of the risk assessment index, and FiQuantitative score, Q, representing the ith risk assessment indicatoriRepresents the weight of the ith risk assessment indicator.
Preferably, the ETL tool performs data cleaning conversion processing on the raw data, and in the cleaning conversion processing process, the ETL tool extracts the raw data into a raw library, performs cleaning conversion on the raw data based on a formulated cleaning conversion standard, and extracts the data after cleaning conversion into a standard library.
Preferably, the cleansing conversion is performed on the raw data based on formulated cleansing conversion standards, which include:
filtering the basic information of the enterprise, and cleaning the data missing important marks, wherein the important marks comprise an enterprise social unified credit code and an enterprise name;
converting the enterprise address into a standard three-level administrative division of province, city and county;
converting the industry name into industry major and subclass names and codes;
for monitoring data, repeated data at the same time point is washed away, data lacking temperature is washed away, and data lacking the name of the equipment is washed away.
Preferably, the enterprise basic information comprises an enterprise social unified credit code, an enterprise name, an enterprise address and an industry name;
the enterprise risk information comprises risk potential information, a hazard source, an accident ledger, personnel license information and punished information;
the monitoring data comprises data acquired by monitoring links in the production and management process of the hazardous chemical substances in real time through a temperature sensor, a gas sensor, a humidity sensor, a pressure sensor, a liquid level sensor, a speed sensor and a heat-sensitive sensor;
the risk assessment indexes comprise the types of the dangerous chemicals, the warranty proportion of personnel engaged in the dangerous chemicals, the total number of the hidden dangers, the hidden danger rectification rate, the total number of the dangerous sources, the proportion of the major dangerous sources, the number of accidents in the preset time, whether the major accidents occur in the preset time, the number of administrative penalties in the preset time, the proportion of more than 5 ten thousand yuan of penalty in the preset time or the proportion of more than the penalty in the penalty level, a safety training period, an emergency exercise period, the use duration of dangerous chemical equipment and the special capital investment for safety production.
In a second aspect, the risk assessment system for a hazardous chemical substance production enterprise according to the present invention performs risk assessment on the hazardous chemical substance production enterprise by using the risk assessment method for a hazardous chemical substance production enterprise according to any one of the first aspect, and the system includes:
the safety production data input module is used for acquiring enterprise operation information related to the production and operation process of the hazardous chemical substance production enterprise, and the operation information comprises enterprise basic information and enterprise risk information;
the device comprises a sensor acquisition module, a data acquisition module and a data processing module, wherein the sensor acquisition module is used for acquiring monitoring data of each link in the production and operation process of a hazardous chemical production enterprise through a sensor;
the data cleaning conversion processing module is used for cleaning and converting the original data to obtain target data, and the cleaning conversion processing comprises repeated and invalid data removal;
a risk assessment index calculation module, configured to configure risk assessment indexes, configure weights for each risk assessment index, quantize the risk assessment indexes based on target data to obtain quantization scores of the risk assessment indexes, and construct a risk assessment model based on the weights and the quantization scores of the risk assessment indexes, where the risk assessment model is configured to calculate enterprise risk values based on a normal diffusion function, and the calculation formula of the enterprise risk values is:
wherein W represents an enterprise risk value, i represents a serial number of a risk assessment index, n represents a maximum value of the risk assessment index, and FiQuantitative score, Q, representing the ith risk assessment indicatoriA weight representing an ith risk assessment indicator;
the prepositive library is used for storing the operation information and the monitoring data;
and the marking library is used for storing target data.
Preferably, the data cleaning and converting module is configured with an ETL tool, the ETL tool performs data cleaning and converting processing on the raw data, and in the cleaning and converting processing process, the ETL tool extracts the raw data into a raw library, performs cleaning and converting on the raw data based on a formulated cleaning and converting standard, and extracts the data after the cleaning and converting into a standard library.
Preferably, the cleansing conversion is performed on the raw data based on formulated cleansing conversion standards, which include:
filtering the basic information of the enterprise, and cleaning the data missing important marks, wherein the important marks comprise an enterprise social unified credit code and an enterprise name;
converting the enterprise address into a standard three-level administrative division of province, city and county;
converting the industry name into industry major and subclass names and codes;
for monitoring data, repeated data at the same time point is washed away, data lacking temperature is washed away, and data lacking the name of the equipment is washed away.
Preferably, the enterprise basic information comprises an enterprise social unified credit code, an enterprise name, an enterprise address and an industry name;
the enterprise risk information comprises risk potential information, a hazard source, an accident ledger, personnel license information and punished information;
the monitoring data comprises data acquired by monitoring links in the production and management process of the hazardous chemical substances in real time through a temperature sensor, a gas sensor, a humidity sensor, a pressure sensor, a liquid level sensor, a speed sensor and a heat-sensitive sensor;
the risk assessment indexes comprise the types of dangerous chemicals, the warranty proportion of personnel engaged in the dangerous chemicals, the total number of hidden dangers, the hidden danger rectification rate, the total number of dangerous sources, the proportion of major dangerous sources, the number of accidents in preset time, whether major accidents occur in preset time, the number of administrative penalties in preset time, the proportion of penalty of more than 5 ten thousand yuan in the amount of penalty in preset time or the proportion of penalty grade of more than penalty, a safety training period, an emergency exercise period, the use time of dangerous chemical equipment and the special capital investment for safety production.
In a third aspect, the apparatus of the present invention comprises: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine-readable program to perform the method of any of the first aspects.
In a fourth aspect, the medium of the present invention is a computer-readable medium having stored thereon computer instructions, which, when executed by a processor, cause the processor to perform the method of any of the first aspects.
The risk assessment method, the system, the device and the medium for the hazardous chemical substance production enterprises have the following advantages:
1. enterprise operation information and monitoring data of an enterprise are collected, risk evaluation indexes are configured based on the data, a risk evaluation model is constructed based on the weight and the quantitative score of the risk evaluation indexes, and the risk evaluation model calculates an enterprise risk value based on a normal diffusion function, so that enterprise risk evaluation is realized;
2. the risk assessment combines the production and operation conditions of the hazardous chemical substance production enterprises, historical accident data of the enterprises, real-time data of sensors of production devices of the enterprises, early warning of production equipment of the enterprises, alarm information and other multiple data sources and comprehensive angles to judge the risk level of the enterprises, so that the reliability is improved;
3. the acquired data is preprocessed, so that the evaluation further improves the reliability of the evaluation and improves the calculation efficiency.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a risk assessment method for a hazardous chemical production enterprise in embodiment 1.
Detailed Description
The present invention is further described in the following with reference to the drawings and the specific embodiments so that those skilled in the art can better understand the present invention and can implement the present invention, but the embodiments are not to be construed as limiting the present invention, and the embodiments and the technical features of the embodiments can be combined with each other without conflict.
The embodiment of the invention provides a risk assessment method, a system, a device and a medium for a hazardous chemical substance production enterprise, which are used for solving the technical problem of how to assess the safety production risk of the hazardous chemical substance production enterprise.
Example 1:
the risk assessment method for the hazardous chemical substance production enterprises comprises the following steps:
s100, enterprise operation information related to the production and operation process of the hazardous chemical substance production enterprise is collected, wherein the operation information comprises enterprise basic information and enterprise risk information;
monitoring data of each link in the production and operation process of a hazardous chemical production enterprise is collected through a sensor;
storing the operation information and the monitoring data as original data to a preposed database;
s300, cleaning and converting the original data to obtain target data, wherein the cleaning and converting process comprises removing repeated and invalid data;
s400, configuring risk evaluation indexes, configuring weights for each risk evaluation index, quantizing the risk evaluation index based on target data to obtain a quantization score of the risk evaluation index, and constructing a risk evaluation model based on the weights and the quantization scores of the risk evaluation indexes, wherein the risk evaluation model is used for calculating an enterprise risk value based on a normal diffusion function, and the calculation formula of the enterprise risk value is as follows:
wherein W represents an enterprise risk value, i represents a serial number of a risk assessment index, n represents a maximum value of the risk assessment index, and FiQuantitative score, Q, representing the ith risk assessment indicatoriRepresents the weight of the ith risk assessment indicator.
In this embodiment, the ETL tool performs data cleaning conversion processing on the original data, and in the cleaning conversion processing process, the ETL tool extracts the original data into the original library, performs cleaning conversion on the original data based on the formulated cleaning conversion standard, and extracts the data after the cleaning conversion into the standard library. Firstly, data collected by a sensor is extracted into an original library through an ETL tool, and a data structure is kept unchanged; and then extracting the data from the original library into a standard library through an ETL tool, and performing cleaning conversion on the data according to established standards. For example, the basic information of an enterprise is filtered, data lacking important information such as unified credit codes and enterprise names are cleaned, the data are converted into standard province, city and county three-level administrative regions according to enterprise addresses, and names and codes of enterprise classes and industrial subclasses are converted according to industrial names. For example, repeated data at the same time point is washed away from data collected by the temperature sensor, data lacking temperature is washed away, data lacking the name of the equipment is washed away, and the quality of the data is improved. And when the data are all extracted to the standard library, the clear conversion of the data is completed.
In this embodiment, when the enterprise operation information is collected, enterprise basic information and relevant enterprise risk information such as risk hidden danger, hazard source, accident ledger, personnel approval information, punishment information and the like of the enterprise in the safety production operation process are collected. And links in the production and management processes of hazardous chemicals are monitored in real time and data are acquired through various types of Internet of things equipment such as a temperature sensor, a gas sensor, a humidity sensor, a pressure sensor, a liquid level sensor, a speed sensor and a thermosensitive sensor, so that monitoring data are obtained.
The following risk assessment indexes are selected as the basis of enterprise risk assessment according to the dangerous chemical industry characteristics:
the following risk assessment indexes are selected as the basis of enterprise risk assessment according to the dangerous chemical industry characteristics:
after the risk evaluation indexes are selected, different weights are set for the risk evaluation indexes, and the quantitative scores of the indexes are obtained according to the quantitative scoring rule of each index.
According to the selected indexes, setting the index weight to obtain the enterprise risk value through the following algorithm:
in the above calculation formula:
the enterprise wind risk value can be calculated through the formula, and the larger the enterprise risk value is, the higher the enterprise risk is. The weight value table of dangerous chemical species is as follows:
the table of the weight scores of dangerous chemical varieties is as follows, the maximum value is 100:
the maximum rating of the person's acceptance for hazardous chemicals in the table is 100:
the number of potential hazards scores were as follows:
| description of the index | Score value |
| Number of hidden troubles>＝1000 | 95 |
| Number of hidden troubles>500 and<1000 | 90 |
| number of hidden troubles>200 and (1)<500 | 85 |
| Number of hidden troubles<200 | 80 |
The hidden danger rectification rate values are as follows:
| description of the index | Score value |
| Potential risk correction rate<＝50％ | 95 |
| Potential risk correction rate>50% and<65％ | 90 |
| potential risk correction rate>65% and<80％ | 80 |
| potential risk correction rate>＝80％ | 60 |
The hazard number score is as follows:
| description of the index | Score value |
| Number of dangerous sources>＝1000 | 95 |
| Number of dangerous sources>500 and<1000 | 90 |
| number of dangerous sources>200 and (1)<500 | 85 |
| Number of dangerous sources<200 | 80 |
The major hazard ratio scores were as follows:
| description of the index | Score value |
| Proportion of major hazard source>＝20％ | 95 |
| Proportion of major hazard source>10% and<20％ | 90 |
| proportion of major hazard source>5% and<10％ | 80 |
| proportion of major hazard source<5％ | 60 |
The number of accidents occurring in the last two years is scored as follows:
| description of the index | Score value |
| Number of accidents>＝50 | 95 |
| Number of accidents>30 and<50 | 90 |
| number of accidents>10 and<30 | 70 |
| number of accidents<10 | 50 |
The score of whether major accidents occurred in the last two years is as follows:
the number of administrative penalties scored in the last two years is as follows:
| description of the index | Score value |
| Number of administrative penalties>＝100 | 95 |
| Number of administrative penalties>60 and<100 | 90 |
| number of administrative penalties>30 and<60 | 80 |
| number of administrative penalties<30 | 70 |
The administrative penalty force scores for the last two years are as follows:
the safety training period score was as follows:
| description of the index | Score value |
| More than 180 days/time | 95 |
| More than 90 days/time | 90 |
| More than 30 days/time | 85 |
| Less than 30 days/time | 70 |
The emergency drill cycle scores were as follows:
the using time length score of the hazardous chemical equipment is as follows:
| description of the index | Score value |
| For more than 3 years | 95 |
| For more than 2 years | 90 |
| For more than 1 year | 85 |
| Within 1 year | 70 |
The safe production special capital investment score is as follows:
| description of the index | Score value |
| Over 100W | 80 |
| Over 80W | 85 |
| Over 50W | 90 |
| 50W or less | 95 |
According to the method, the internet of things and big data analysis technology are fully utilized, multiple data sources are integrated, the probability of accidents is evaluated and predicted by utilizing a normal diffusion function in an evaluation model, the times of the accidents of an enterprise are used as observation samples, the statistical period of the accidents is used as an index domain of risk factors for calculation, and the statistics of the times of the accidents depends on history for diffusion, so that the evaluation result is more scientific and reasonable.
Example 2:
the risk assessment system for the hazardous chemical substance production enterprises comprises a safety production data entry module, a sensor acquisition module, a data cleaning conversion processing module, a risk assessment index calculation module, a prepositive library and a standard library, wherein the safety production data entry module is used for acquiring enterprise operation information related to the production and operation processes of the hazardous chemical substance production enterprises, and the operation information comprises enterprise basic information and enterprise risk information;
the device comprises a sensor acquisition module, a data acquisition module and a data processing module, wherein the sensor acquisition module is used for acquiring monitoring data of each link in the production and operation process of a hazardous chemical production enterprise through a sensor; the data cleaning conversion processing module is used for cleaning conversion processing on the original data to obtain target data, and the cleaning conversion processing comprises repeated and invalid data removal; the risk assessment index calculation module is used for configuring risk assessment indexes, configuring weights for each risk assessment index, quantizing the risk assessment index based on target data to obtain a quantization score of the risk assessment index, and constructing a risk assessment model based on the weights and the quantization scores of the risk assessment indexes, wherein the risk assessment model is used for calculating an enterprise risk value based on a normal diffusion function, and the calculation formula of the enterprise risk value is as follows:
wherein W represents an enterprise risk value, i represents a serial number of a risk assessment index, n represents a maximum value of the risk assessment index, and FiQuantitative score, Q, representing the ith risk assessment indicatoriRepresents the weight of the ith risk assessment indicator.
In this embodiment, the data cleaning conversion processing module is configured with an ETL tool, and performs data cleaning conversion processing on the original data through the ETL tool, and in the cleaning conversion processing process, the ETL tool extracts the original data into the original library, performs cleaning conversion on the original data based on the established cleaning conversion standard, and extracts the data after the cleaning conversion into the standard library. Extracting data acquired by a sensor into an original library through an ETL tool, and keeping a data structure unchanged; and then extracting the data from the original library into a standard library through an ETL tool, and performing cleaning conversion on the data according to established standards.
When cleaning and converting the original data based on the established cleaning and converting standard, filtering the basic information of the enterprise, cleaning the data lacking important information such as unified credit codes, enterprise names and the like, converting the data into standard province, city and county three-level administrative divisions according to the enterprise address, and converting the names and the codes into industry major and industry subclass names according to the industry name. For example, repeated data at the same time point is washed away from data collected by the temperature sensor, data lacking temperature is washed away, data lacking the name of the equipment is washed away, and the quality of the data is improved. And when the data are all extracted to the standard library, the clear conversion of the data is completed.
In this embodiment, when the enterprise operation information is collected, enterprise basic information and relevant enterprise risk information such as risk hidden danger, hazard source, accident ledger, personnel approval information, punishment information and the like of the enterprise in the safety production operation process are collected. And links in the production and management processes of hazardous chemicals are monitored in real time and data are acquired through various types of Internet of things equipment such as a temperature sensor, a gas sensor, a humidity sensor, a pressure sensor, a liquid level sensor, a speed sensor and a thermosensitive sensor, so that monitoring data are obtained.
The following risk assessment indexes are selected as the basis of enterprise risk assessment according to the dangerous chemical industry characteristics:
after the risk evaluation indexes are selected, different weights are set for the risk evaluation indexes, and the quantitative scores of the indexes are obtained according to the quantitative scoring rule of each index.
According to the selected indexes, setting the index weight to obtain the enterprise risk value through the following algorithm:
the parameters in the above calculation formula are expressed as follows:
the enterprise wind risk value can be calculated through the formula, and the larger the enterprise risk value is, the higher the enterprise risk is.
The first attachment table and the table of the dangerous chemical variety weight scores are as follows, and the maximum value is 100:
the accessory table II shows that the value of the qualification ratio of the personnel engaged in the dangerous chemicals is as follows, and the maximum value is 100:
and the third part is an attachment table, and the number scores of the hidden dangers are as follows:
| description of the index | Score value |
| Number of hidden troubles>＝1000 | 95 |
| Number of hidden troubles>500 and<1000 | 90 |
| number of hidden troubles>200 and (1)<500 | 85 |
| Number of hidden troubles<200 | 80 |
And the fourth accessory form comprises the following hidden danger rectification rate values:
| description of the index | Score value |
| Potential risk correction rate<＝50％ | 95 |
| Potential risk correction rate>50% and<65％ | 90 |
| potential risk correction rate>65% and<80％ | 80 |
| potential risk correction rate>＝80％ | 60 |
Appendix table five, hazard number scores are as follows:
| description of the index | Score value |
| Number of dangerous sources>＝1000 | 95 |
| Number of dangerous sources>500 and<1000 | 90 |
| number of dangerous sources>200 and (1)<500 | 85 |
| Number of dangerous sources<200 | 80 |
Appendix table six, major hazard ratio scores are as follows:
| description of the index | Score value |
| Proportion of major hazard source>＝20％ | 95 |
| Proportion of major hazard source>10% and<20％ | 90 |
| proportion of major hazard source>5% and<10％ | 80 |
| proportion of major hazard source<5％ | 60 |
The attachment table seven, last two years accident occurrence number scores are as follows:
the attachment table eight, whether a major accident occurred in the last two years score is as follows:
| description of the index | Score value |
| Take place of | 95 |
| Does not occur | 60 |
The attachment form nine and last two years administrative penalty number scores are as follows:
| description of the index | Score value |
| Number of administrative penalties>＝100 | 95 |
| Number of administrative penalties>60 and<100 | 90 |
| number of administrative penalties>30 and<60 | 80 |
| number of administrative penalties<30 | 70 |
The attachment form ten and two years of administrative penalty force scores are as follows:
the attachment form eleven, safety training period score are as follows:
accessory table twelve, emergency drill cycle scores are as follows:
| description of the index | Score value |
| More than 180 days/time | 95 |
| More than 90 days/time | 90 |
| More than 30 days/time | 85 |
| Less than 30 days/time | 70 |
Thirteen accessory tables, the service life time scores of the hazardous chemical equipment are as follows:
| description of the index | Score value |
| For more than 3 years | 95 |
| For more than 2 years | 90 |
| For more than 1 year | 85 |
| Within 1 year | 70 |
Fourteen annex tables, the safe production special capital investment score is as follows:
| description of the index | Score value |
| Over 100W | 80 |
| Over 80W | 85 |
| Over 50W | 90 |
| 50W or less | 95 |
The system can execute the method disclosed in embodiment 1 to perform risk assessment on hazardous chemical production enterprises.
Example 3:
the apparatus of the present invention comprises: at least one memory and at least one processor; the at least one memory to store a machine readable program; the at least one processor is used for calling the machine readable program and executing the method disclosed in the embodiment 1.
Example 4:
the medium of the present invention is a computer readable medium having stored thereon computer instructions, which, when executed by a processor, cause the processor to perform the method disclosed in embodiment 1. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It should be noted that not all steps and modules in the above flows and system structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that many more embodiments of the invention are possible that combine the features of the different embodiments described above and still fall within the scope of the invention.
Claims (10)
1. The risk assessment method for the hazardous chemical substance production enterprises is characterized by comprising the following steps:
acquiring enterprise operation information related to the production and operation process of a hazardous chemical substance production enterprise, wherein the operation information comprises enterprise basic information and enterprise risk information;
monitoring data of each link in the production and operation process of a hazardous chemical production enterprise is collected through a sensor;
storing the operation information and the monitoring data as original data to a preposed database;
cleaning and converting the original data to obtain target data, wherein the cleaning and converting process comprises removing repeated and invalid data;
configuring risk evaluation indexes, configuring weights for each risk evaluation index, quantizing the risk evaluation index based on target data to obtain a quantization score of the risk evaluation index, and constructing a risk evaluation model based on the weights and the quantization scores of the risk evaluation indexes, wherein the risk evaluation model is used for calculating an enterprise risk value based on a normal diffusion function, and the calculation formula of the enterprise risk value is as follows:
wherein W represents an enterprise risk value, i represents a serial number of a risk assessment index, n represents a maximum value of the risk assessment index, and FiQuantitative score, Q, representing the ith risk assessment indicatoriRepresents the weight of the ith risk assessment indicator.
2. The risk assessment method for the hazardous chemical substance production enterprises according to claim 1, wherein the ETL tool is used for performing data cleaning and conversion processing on the raw data, and in the process of the cleaning and conversion processing, the ETL tool extracts the raw data into a raw library, performs cleaning and conversion on the raw data based on established cleaning and conversion standards, and extracts the data after the cleaning and conversion into a standard library.
3. The risk assessment method for the hazardous chemical substance production enterprise according to claim 2, wherein the cleaning conversion of the raw data based on the established cleaning conversion standard comprises:
filtering the basic information of the enterprise, and cleaning the data missing important marks, wherein the important marks comprise an enterprise social unified credit code and an enterprise name;
converting the enterprise address into a standard three-level administrative division of province, city and county;
converting the industry name into industry major and subclass names and codes;
for monitoring data, repeated data at the same time point is washed away, data lacking temperature is washed away, and data lacking the name of the equipment is washed away.
4. The risk assessment method for hazardous chemical substance production enterprises according to any one of claims 1 to 3, wherein the enterprise basic information comprises an enterprise social uniform credit code, an enterprise name, an enterprise address, an industry name;
the enterprise risk information comprises risk potential information, a hazard source, an accident ledger, personnel license information and punished information;
the monitoring data comprises data acquired by monitoring links in the production and management process of the hazardous chemical substances in real time through a temperature sensor, a gas sensor, a humidity sensor, a pressure sensor, a liquid level sensor, a speed sensor and a heat-sensitive sensor;
the risk assessment indexes comprise the types of dangerous chemicals, the warranty proportion of personnel engaged in the dangerous chemicals, the total number of hidden dangers, the hidden danger rectification rate, the total number of dangerous sources, the proportion of major dangerous sources, the number of accidents in preset time, whether major accidents occur in preset time, the number of administrative penalties in preset time, the proportion of penalty of more than 5 ten thousand yuan in the amount of penalty in preset time or the proportion of penalty grade of more than penalty, a safety training period, an emergency exercise period, the use time of dangerous chemical equipment and the special capital investment for safety production.
5. The risk assessment system for the hazardous chemical substance production enterprise is characterized in that the risk assessment is carried out on the hazardous chemical substance production enterprise by the risk assessment method for the hazardous chemical substance production enterprise according to any one of claims 1 to 4, and the system comprises:
the safety production data input module is used for acquiring enterprise operation information related to the production and operation process of the hazardous chemical substance production enterprise, and the operation information comprises enterprise basic information and enterprise risk information;
the device comprises a sensor acquisition module, a data acquisition module and a data processing module, wherein the sensor acquisition module is used for acquiring monitoring data of each link in the production and operation process of a hazardous chemical production enterprise through a sensor;
the data cleaning conversion processing module is used for cleaning and converting the original data to obtain target data, and the cleaning conversion processing comprises repeated and invalid data removal;
a risk assessment index calculation module, configured to configure risk assessment indexes, configure weights for each risk assessment index, quantize the risk assessment indexes based on target data to obtain quantization scores of the risk assessment indexes, and construct a risk assessment model based on the weights and the quantization scores of the risk assessment indexes, where the risk assessment model is configured to calculate enterprise risk values based on a normal diffusion function, and the calculation formula of the enterprise risk values is:
wherein W represents an enterprise risk value, i represents a serial number of a risk assessment index, n represents a maximum value of the risk assessment index, and FiQuantitative score, Q, representing the ith risk assessment indicatoriA weight representing an ith risk assessment indicator;
the prepositive library is used for storing the operation information and the monitoring data;
and the marking library is used for storing target data.
6. The risk assessment system for hazardous chemical substance production enterprises of claim 5, wherein the data cleaning and conversion processing module is configured with an ETL tool, the ETL tool is used for performing data cleaning and conversion processing on the raw data, in the process of the cleaning and conversion processing, the ETL tool is used for extracting the raw data into a raw library, performing cleaning and conversion on the raw data based on established cleaning and conversion standards, and extracting the data after the cleaning and conversion into a standard library.
7. The risk assessment system for hazardous chemical substance production enterprises according to claim 5, wherein the cleaning conversion of the raw data based on the established cleaning conversion standard comprises:
filtering the basic information of the enterprise, and cleaning the data missing important marks, wherein the important marks comprise an enterprise social unified credit code and an enterprise name;
converting the enterprise address into a standard three-level administrative division of province, city and county;
converting the industry name into industry major and subclass names and codes;
for monitoring data, repeated data at the same time point is washed away, data lacking temperature is washed away, and data lacking the name of the equipment is washed away.
8. The risk assessment system according to any one of claims 5 to 7, wherein the enterprise basic information includes an enterprise social uniform credit code, an enterprise name, an enterprise address, an industry name;
the enterprise risk information comprises risk potential information, a hazard source, an accident ledger, personnel license information and punished information;
the monitoring data comprises data acquired by monitoring links in the production and management process of the hazardous chemical substances in real time through a temperature sensor, a gas sensor, a humidity sensor, a pressure sensor, a liquid level sensor, a speed sensor and a heat-sensitive sensor;
the risk assessment indexes comprise the types of the dangerous chemicals, the warranty proportion of personnel engaged in the dangerous chemicals, the total number of the hidden dangers, the hidden danger rectification rate, the total number of the dangerous sources, the proportion of the major dangerous sources, the number of accidents in the preset time, whether the major accidents occur in the preset time, the number of administrative penalties in the preset time, the proportion of more than 5 ten thousand yuan of penalty in the preset time or the proportion of more than the penalty in the penalty level, a safety training period, an emergency exercise period, the use duration of dangerous chemical equipment and the special capital investment for safety production.
9. An apparatus, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program to perform the method of any of claims 1 to 4.
10. A medium being a computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 4.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115204717A (en) * | 2022-07-27 | 2022-10-18 | 海南锦赟安全技术服务有限公司 | Security level classification method, device, equipment and readable storage medium |
| CN116931523A (en) * | 2023-07-25 | 2023-10-24 | 山东泰康降解包装材料有限公司 | Biodegradable plastic bag production monitoring system based on Internet of things |
| CN117151478A (en) * | 2023-10-31 | 2023-12-01 | 南京南工应急科技有限公司 | Chemical enterprise risk early warning method and system based on convolutional neural network |
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2021
- 2021-11-23 CN CN202111392354.1A patent/CN114139905A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115204717A (en) * | 2022-07-27 | 2022-10-18 | 海南锦赟安全技术服务有限公司 | Security level classification method, device, equipment and readable storage medium |
| CN115204717B (en) * | 2022-07-27 | 2024-03-22 | 海南锦赟安全技术服务有限公司 | Security level classification method, device, equipment and readable storage medium |
| CN116931523A (en) * | 2023-07-25 | 2023-10-24 | 山东泰康降解包装材料有限公司 | Biodegradable plastic bag production monitoring system based on Internet of things |
| CN116931523B (en) * | 2023-07-25 | 2024-02-02 | 山东泰康降解包装材料有限公司 | Biodegradable plastic bag production monitoring system based on Internet of things |
| CN117151478A (en) * | 2023-10-31 | 2023-12-01 | 南京南工应急科技有限公司 | Chemical enterprise risk early warning method and system based on convolutional neural network |
| CN117151478B (en) * | 2023-10-31 | 2024-01-26 | 南京南工应急科技有限公司 | Chemical enterprise risk early warning method and system based on convolutional neural network |
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