Evaluation method, device, equipment and medium for inherent risk of chemical enterprise

Abstract

The invention provides a chemical enterprise inherent risk evaluation method and device, equipment and a medium, and belongs to the technical field of chemical enterprise risk evaluation. The method comprises the steps of collecting related operation data of a chemical enterprise, and performing classification processing and preprocessing on the related operation data of the chemical enterprise to obtain a plurality of evaluation data sets; taking each evaluation data set as an evaluation index, and determining an entropy weight method weight and an evaluation method weight of each evaluation index through an entropy weight method and an evaluation method; performing weighted summation on the entropy weight method weight and the evaluation method weight of each evaluation index to obtain a comprehensive weight of each evaluation index; determining the risk level of the inherent risk of the chemical enterprise based on the comprehensive weight of each evaluation index and the evaluation data set corresponding to each evaluation index; and outputting and displaying the risk level of the inherent risk of the chemical enterprise. According to the invention, objective evaluation of inherent risks of chemical enterprises is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment for chemical enterprises, and in particular to a method for evaluating inherent risks of chemical enterprises, an evaluation device for inherent risks of chemical enterprises, an electronic device and a readable storage medium. Background Art

[0002] Inherent risk refers to the degree of risk when no risk control (reducing the possibility or severity of harm) measures are taken. It can be understood as potential risk due to the inherent dangerousness of the risk point. It can also be called original risk, initial risk, naked risk, etc.

[0003] In the chemical industry, with the development of the chemical industry, hazardous chemical companies are facing severe challenges of overlapping risks and hidden dangers. Among them, the inherent risks of chemical companies include the following aspects: production, storage, transportation, abandoned equipment, industrial transfer, old equipment, new energy, offshore oil and hydrogen energy.

[0004] At present, it is impossible to quantitatively assess the inherent risk level of hazardous chemicals in various regions. In addition, the risks of hazardous chemicals faced by different regions are not the same. The differences in the development levels of hazardous chemicals industries in various provinces and their regional characteristics determine that the focus of risk prevention needs to shift from "generalization" to "differentiation".

[0005] Therefore, how to objectively assess the inherent risk levels of chemical companies in various regions is an issue that needs to be addressed. Summary of the invention

[0006] The purpose of the embodiments of the present invention is to provide a method, device, equipment and medium for evaluating the inherent risks of chemical enterprises, so as to solve the problem of how to objectively evaluate the inherent risk levels of chemical enterprises in various regions.

[0007] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a method for evaluating inherent risks of a chemical enterprise, comprising:

[0008] Collect relevant operation data of chemical enterprises, classify and pre-process the relevant operation data of chemical enterprises, and obtain multiple evaluation data sets;

[0009] Taking each evaluation data set as the evaluation index, the entropy weight method weight and evaluation method weight of each evaluation index are determined by the entropy weight method and the evaluation method;

[0010] The entropy weight method weight and the evaluation method weight of each evaluation index are weighted and summed to obtain the comprehensive weight of each evaluation index;

[0011] Determine the risk level of the inherent risk of chemical enterprises based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator;

[0012] The risk level of inherent risks of chemical enterprises is output and displayed.

[0013] Optionally, the preprocessing includes: dedimensionalization processing, normalization processing, deduplication processing and interpolation processing.

[0014] Optionally, the entropy weight of each evaluation indicator is determined by:

[0015] Calculate the proportion of each evaluation data under each evaluation indicator;

[0016] Calculate the entropy value of each evaluation index based on the proportion;

[0017] Calculate the entropy redundancy of each evaluation indicator based on the entropy value of each evaluation indicator;

[0018] The entropy weight method weight of each evaluation indicator is calculated based on the entropy redundancy of each evaluation indicator.

[0019] Optionally, the calculation rule for the proportion of each evaluation data under each evaluation indicator is:

[0020] Among them, p ij represents the proportion of the jth evaluation data under the i-th evaluation index; X ij represents the jth evaluation data under the i-th evaluation index; n represents a total of n evaluation data, i.e., j = 1, ..., n;

[0021] The calculation rules of the entropy value of each evaluation index are as follows:

[0022] Among them, e i represents the entropy value of the i-th evaluation index; k is a constant, ensuring that 0≤e i ≤1, the calculation rule is:

[0023] The calculation rules of entropy redundancy of each evaluation index are as follows:

[0024] d i =1-e i ; where d i Represents the entropy redundancy of the i-th evaluation index;

[0025] The calculation rules of the entropy weight method weights of each evaluation index are as follows:

[0026] Among them, w1 i represents the entropy weight of the i-th evaluation index; m means there are m evaluation indexes in total, i.e., i=1,...,m.

[0027] Optionally, the evaluation method weight of each evaluation indicator is determined by:

[0028] Calculate the variability and conflict of each evaluation indicator;

[0029] Calculate the information content of each evaluation indicator based on its variability and conflict;

[0030] The evaluation method weight of each evaluation indicator is calculated based on the information content of each evaluation indicator.

[0031] Optionally, the calculation rule of the variability of each evaluation index is:

[0032] Among them, S i represents the variability of the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index; It represents the mean of the evaluation data set corresponding to the i-th evaluation index, and its calculation rule is: n means there are n evaluation data in total, i.e. j=1,...,n;

[0033] The calculation rules for the conflict of each evaluation index are as follows:

[0034] Among them, R i Indicates the conflict of the i-th evaluation index; r kl It represents the correlation coefficient between the kth evaluation index and the lth evaluation index, and its calculation rule is: X jk Represents the kth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the kth evaluation index, and its calculation rule is: X jl The lth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the lth evaluation index, and its calculation rule is:

[0035] The calculation rules of the information amount of each evaluation index are as follows:

[0036] C i =S i *R i Among them, C i Represents the information content of the i-th evaluation index;

[0037] The calculation rules for the evaluation method weights of each evaluation index are as follows:

[0038] Among them, w2 i Represents the evaluation method weight of the i-th evaluation indicator.

[0039] Optionally, the calculation rule of the comprehensive weight of each evaluation index is:

[0040] w i =α*w1 i +β*w2 i ,α+β=1; where w i represents the comprehensive weight of the i-th evaluation index; w1 i represents the entropy weight of the i-th evaluation index; w2 i represents the evaluation method weight of the i-th evaluation indicator; α represents the weight of the entropy weight method weight of the i-th evaluation indicator; β represents the weight of the evaluation method weight of the i-th evaluation indicator.

[0041] Optionally, the risk level of the inherent risk of the chemical enterprise is determined based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator, including:

[0042] The superior-inferior solution distance method is used to calculate the comprehensive weight of each evaluation indicator and the corresponding evaluation data set to obtain the evaluation score of the inherent risk of chemical enterprises;

[0043] The evaluation scores of the inherent risks of chemical enterprises are graded to determine the inherent risk level of the chemical enterprise.

[0044] Optionally, the superior and inferior solution distance method is used to calculate the comprehensive weight of each evaluation indicator and the corresponding evaluation data set to obtain the evaluation score of the inherent risk of the chemical enterprise, including:

[0045] The maximum value in the evaluation data set corresponding to each evaluation index is determined as the positive ideal solution of each evaluation index;

[0046] The minimum value in the evaluation data set corresponding to each evaluation index is determined as the negative ideal solution of each evaluation index;

[0047] Based on the positive ideal solution of each evaluation index, the negative ideal solution of each evaluation index and the comprehensive weight of each evaluation index, the weighted distance between each evaluation index and the positive ideal solution of each evaluation index and the weighted distance between each evaluation index and the negative ideal solution of each evaluation index are calculated;

[0048] The evaluation score of the inherent risk of chemical enterprises is calculated based on the weighted distance between each evaluation data under each evaluation indicator and the positive ideal solution of each evaluation indicator, as well as the weighted distance between each evaluation data under each evaluation indicator and the negative ideal solution of each evaluation indicator.

[0049] Optionally, the calculation rule of the weighted distance between each evaluation index and the positive ideal solution is:

[0050] in, represents the weighted distance between the ith evaluation index and the positive ideal solution of the ith evaluation index; wi represents the comprehensive weight of the i-th evaluation index; represents the positive ideal solution under the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index;

[0051] The calculation rule of the weighted distance between each evaluation index and the negative ideal solution of each evaluation index is:

[0052] in, Represents the weighted distance between each evaluation index and the negative ideal solution of each evaluation index; represents the negative ideal solution of each evaluation index;

[0053] The calculation rules for the evaluation score of inherent risks of chemical enterprises are as follows:

[0054] Among them, S represents the evaluation score of the inherent risk of chemical enterprises.

[0055] In a second aspect of the embodiments of the present invention, there is provided a device for evaluating inherent risks of a chemical enterprise, comprising:

[0056] The collection module is used to collect the relevant operation data of chemical enterprises, and classify and pre-process the relevant operation data of chemical enterprises to obtain multiple evaluation data sets;

[0057] The first processing module is used to use each evaluation data set as an evaluation indicator, and determine the entropy weight method weight and the evaluation method weight of each evaluation indicator through the entropy weight method and the evaluation method;

[0058] The second processing module is used to perform weighted summation on the entropy weight method weight and the evaluation method weight of each evaluation index to obtain the comprehensive weight of each evaluation index;

[0059] The second processing module is used to determine the risk level of the inherent risk of the chemical enterprise based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator;

[0060] The display module is used to output and display the risk level of the inherent risk of chemical enterprises.

[0061] In a third aspect of the embodiments of the present invention, there is provided an electronic device, comprising: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the above-mentioned method for evaluating inherent risks of chemical enterprises is executed.

[0062] In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, storing computer instructions, which, when executed on a computer, enable the computer to execute the above-mentioned method for evaluating inherent risks of chemical enterprises.

[0063] In an embodiment of the present invention, multiple evaluation data sets are obtained by collecting relevant operation data of chemical enterprises, and classifying and preprocessing the relevant operation data of chemical enterprises; each evaluation data set is used as an evaluation indicator, and the entropy weight method weight and evaluation method weight of each evaluation indicator are determined by the entropy weight method and the evaluation method; the entropy weight method weight and the evaluation method weight of each evaluation indicator are weighted and summed to obtain the comprehensive weight of each evaluation indicator; the risk level of the inherent risk of the chemical enterprise is determined based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator; the risk level of the inherent risk of the chemical enterprise is output and displayed. The present invention constructs a more objective quantitative indicator system that characterizes the inherent risk of chemical enterprises, and applies the objective weighting method to the weighting of evaluation indicators, and finally calculates the evaluation score of the inherent risk of chemical enterprises based on the weight of the evaluation indicators, thereby achieving an objective evaluation of the inherent risk of chemical enterprises.

[0064] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0066] Figure 1 It is a flow chart of a method for evaluating inherent risks of chemical enterprises provided by an embodiment of the present invention;

[0067] Figure 2 is a schematic diagram of a preset evaluation index system provided by an embodiment of the present invention;

[0068] Figure 3 It is a schematic diagram of the architecture of a device for evaluating inherent risks of chemical enterprises provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0069] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0070] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0071] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0072] Please refer to Figure 1 , Figure 1 : is a flow chart of a method for evaluating inherent risks of chemical enterprises provided by an embodiment of the present invention, the method comprising the following steps:

[0073] S100, collecting relevant operation data of chemical enterprises, and classifying and preprocessing the relevant operation data of chemical enterprises to obtain multiple evaluation data sets;

[0074] Specifically, the inherent risks of chemical enterprises will definitely be reflected through the relevant operating data of chemical enterprises, that is, when there are inherent risks in chemical enterprises, the relevant operating data of chemical enterprises will definitely have numerical changes. Based on this, when evaluating the inherent risks of chemical enterprises, the relevant operating data collected by chemical enterprises should be data that can characterize the inherent risks of chemical enterprises as much as possible.

[0075] In addition, according to the numerical meaning of the relevant operating data of chemical enterprises, the indicators that are positively correlated with major risks are marked as positive indicators, and the indicators that are negatively correlated with major risks are marked as negative indicators. The positive indicators are marked as The positive indicator is marked as

[0076] S200, using each evaluation data set as an evaluation indicator, determining an entropy weight method weight and an evaluation method weight of each evaluation indicator through an entropy weight method and an evaluation method;

[0077] In order to conduct inherent risk rating of chemical enterprises, it is necessary to collect relevant operating data of chemical enterprises, and then pre-process the collected relevant operating data of chemical enterprises by de-dimensionalization, normalization, de-duplication and interpolation. Then, the operating data is classified and processed to obtain multiple evaluation data sets after classification, and each evaluation data is an evaluation indicator.

[0078] It should be noted that in order to achieve a quantitative evaluation of the inherent risks of chemical companies, it is necessary to ensure the consistency of the entire evaluation system, that is, to design an evaluation index system that can be widely applied, and then propose a corresponding quantitative evaluation method for the system, so that the entire program can be promoted and serve all chemical companies. Based on this, the present invention needs to construct a corresponding chemical company inherent risk evaluation index system (preset evaluation index system). Specifically, Figure 2 shown.

[0079] It should be noted that the preset evaluation index system is a multi-level evaluation system, which includes target indicators, criterion indicators and evaluation indicators; each target indicator includes multiple criterion indicators; each criterion indicator includes multiple evaluation indicators. In its own evaluation layer, it is evaluated as an evaluation item, but the evaluation item will be used as an evaluation factor of the previous level. For example: when the target indicator is used as an evaluation item, the criterion indicator is used as an evaluation factor of the target indicator; when the criterion indicator is used as an evaluation item, the evaluation indicator is used as an evaluation factor of the criterion indicator. Figure 2 Optionally, the target indicator of the preset evaluation index system is inherent risk, which includes multiple criteria indicators such as the scale of chemical enterprises, major hazardous source enterprises, high-risk chemical processes, high-risk chemicals, oil and gas storage bases, chemical park conditions, "four zeroes" of fine chemicals, industrial transfer, obsolete equipment and oil and gas long-distance pipelines, while the scale of chemical enterprises includes: the number of enterprises, hazardous chemicals and construction projects, etc. The contents included in other criteria indicators can be referred to Figure 2 , which will not be described here. In this embodiment, only the evaluation index is actually used. Figure 2 It is just for the convenience of seeing the evaluation index system framework of inherent risks of chemical enterprises.

[0080] In addition, the evaluation data sets corresponding to the evaluation indicators have different collection methods. For example, the number of enterprises is obtained by direct reading, hazardous chemicals are obtained through manual analysis, and construction projects are obtained by direct reading. The collection methods of other evaluation indicators can refer to Figure 2 , I will not go into details here.

[0081] In one embodiment, the objective weight of each evaluation index includes: the entropy weight of each evaluation index and the evaluation method weight of each evaluation index. It is understandable that the embodiment of the present invention does not specifically limit the different objective weights of each evaluation index, that is, there are as many objective weighting methods as there are objective weighting methods, and each evaluation index corresponds to as many objective weights.

[0082] Furthermore, the entropy weight of each evaluation index is determined by the following method:

[0083] S210, calculating the proportion of each evaluation data under each evaluation index;

[0084] Specifically, the calculation rule for the proportion of each evaluation data under each evaluation indicator is:

[0085] Among them, p ij represents the proportion of the jth evaluation data under the i-th evaluation index; X ij represents the jth evaluation data under the i-th evaluation index; n represents a total of n evaluation data, that is, j=1,...,n S220, calculate the entropy value of each evaluation index based on the proportion;

[0086] Specifically, the calculation rules of the entropy value of each evaluation index are:

[0087] Among them, e i represents the entropy value of the i-th evaluation index; k is a constant, ensuring that 0≤e i ≤1, the calculation rule is:

[0088] S230, calculating the entropy redundancy of each evaluation indicator based on the entropy value of each evaluation indicator;

[0089] Specifically, the calculation rules of the entropy redundancy of each evaluation index are as follows:

[0090] d i =1-e i ; where d i Represents the entropy redundancy of the i-th evaluation index;

[0091] S240, calculating the entropy weight method weight of each evaluation indicator based on the entropy redundancy of each evaluation indicator;

[0092] Specifically, the calculation rules of the entropy weight method weights of each evaluation index are as follows:

[0093] Among them, w1 i represents the entropy weight of the i-th evaluation index; m means there are m evaluation indexes in total, i.e., i=1,...,m.

[0094] Furthermore, the evaluation method weights of each evaluation index are determined in the following way:

[0095] S210', calculate the variability and conflict of each evaluation index;

[0096] Specifically, the calculation rules for the variability of each evaluation index are:

[0097] Among them, S i represents the variability of the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index; It represents the mean of the evaluation data set corresponding to the i-th evaluation index, and its calculation rule is: n means there are n evaluation data in total, i.e. j=1,...,n;

[0098] Specifically, the calculation rules for the conflict of each evaluation index are as follows:

[0099] Among them, R i Indicates the conflict of the i-th evaluation index; r kl It represents the correlation coefficient between the kth evaluation index and the lth evaluation index, and its calculation rule is: X jk Represents the kth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the kth evaluation index, and its calculation rule is: X jl The lth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the lth evaluation index, and its calculation rule is:

[0100] S220', calculating the information content of each evaluation indicator based on the variability and conflict of each third-level indicator;

[0101] Specifically, the calculation rules for the information amount of each evaluation index are as follows:

[0102] C i =S i *R i Among them, C i Represents the information content of the i-th evaluation index;

[0103] S230', calculating the evaluation method weight of each evaluation indicator based on the information amount of each evaluation indicator;

[0104] Specifically, the calculation rules for the evaluation method weights of each evaluation index are as follows:

[0105] Among them, w2 i Represents the evaluation method weight of the i-th evaluation indicator.

[0106] S300, performing weighted summation of the entropy weight method weight and the evaluation method weight of each evaluation index to obtain a comprehensive weight of each evaluation index;

[0107] Furthermore, the calculation rule of the comprehensive weight of each evaluation index is:

[0108] Specifically, the calculation rules for the comprehensive weight of each evaluation index are as follows:

[0109] w i=α*w1 i +β*w2 i ,α+β=1; where w i represents the comprehensive weight of the i-th evaluation index; w1 i represents the entropy weight of the i-th evaluation index; w2 i represents the evaluation method weight of the i-th evaluation index; α represents the weight of the entropy weight method weight of the i-th evaluation index; β represents the weight of the evaluation method weight of the i-th evaluation index

[0110] S400, determining the risk level of the inherent risk of the chemical enterprise based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator.

[0111] In one embodiment, step S400 is specifically implemented in the following manner:

[0112] S410, using the superior-inferior solution distance method, calculating the comprehensive weight of each evaluation indicator and the corresponding evaluation data set to obtain the evaluation score of the inherent risk of the chemical enterprise;

[0113] Furthermore, step S410 is specifically implemented in the following manner:

[0114] S411, determining the maximum value in the evaluation data set corresponding to each evaluation indicator as the positive ideal solution of each evaluation indicator;

[0115] Specifically, the positive ideal solution is defined as: in, represents a positive ideal solution.

[0116] S412, determining the minimum value in the evaluation data set corresponding to each evaluation indicator as the negative ideal solution of each evaluation indicator;

[0117] Specifically, the positive ideal solution is defined as: in, represents a negative ideal solution.

[0118] S413, calculating the weighted distance between each evaluation indicator and the positive ideal solution of each evaluation indicator and the weighted distance between each evaluation indicator and the negative ideal solution of each evaluation indicator based on the positive ideal solution of each evaluation indicator, the negative ideal solution of each evaluation indicator and the comprehensive weight of each evaluation indicator;

[0119] Specifically, the calculation rule of the weighted distance between each evaluation index and the positive ideal solution of each evaluation index is:

[0120] in, represents the weighted distance between the ith evaluation index and the positive ideal solution of the ith evaluation index; w i represents the comprehensive weight of the i-th evaluation index; represents the positive ideal solution under the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index;

[0121] Specifically, the calculation rule of the weighted distance between each evaluation index and the negative ideal solution of each evaluation index is:

[0122] in, Represents the weighted distance between each evaluation index and the negative ideal solution of each evaluation index; represents the negative ideal solution of each evaluation index;

[0123] S414, calculating the evaluation score of the inherent risk of the chemical enterprise based on the weighted distance between each evaluation data under each evaluation index and the positive ideal solution of each evaluation index and the weighted distance between each evaluation data under each evaluation index and the negative ideal solution of each evaluation index;

[0124] Specifically, the calculation rules for the evaluation score of inherent risks of chemical enterprises are as follows:

[0125] Among them, S represents the evaluation score of the inherent risk of chemical enterprises.

[0126] S420, grading the evaluation scores of inherent risks of chemical enterprises and determining the inherent risk level of chemical enterprises.

[0127] Specifically, since the evaluation score of the inherent risk of chemical enterprises is between 0 and 100 points, 100 points are divided into 4 intervals, each interval represents a different level, for example: low risk: [0-40], general risk: [41-60], relatively high risk: [60-80], high risk: [80-100]. The present invention does not specifically limit the division of score intervals, and can be reasonably divided according to actual needs.

[0128] S500, outputs and displays the risk level of the inherent risk of chemical enterprises.

[0129] Specifically, after the inherent risk level of a chemical enterprise is calculated, the inherent risk level of the chemical enterprise can be visually displayed and output through a display device, so that users can intuitively see the inherent risk level of the chemical enterprise.

[0130] In the embodiment of the present invention, multiple evaluation data sets are obtained by collecting relevant operation data of chemical enterprises and classifying and preprocessing the relevant operation data of chemical enterprises;

[0131] Taking each evaluation data set as an evaluation index, the entropy weight method weight and the evaluation method weight of each evaluation index are determined by the entropy weight method and the evaluation method; the entropy weight method weight and the evaluation method weight of each evaluation index are weighted and summed to obtain the comprehensive weight of each evaluation index; the risk level of the inherent risk of the chemical enterprise is determined based on the comprehensive weight of each evaluation index and the evaluation data set corresponding to each evaluation index; the risk level of the inherent risk of the chemical enterprise is output and displayed. The present invention constructs a more objective quantitative index system that characterizes the inherent risk of the chemical enterprise, and applies the objective weighting method to the weighting of the evaluation index, and finally calculates the evaluation score of the inherent risk of the chemical enterprise based on the weight of the evaluation index, thereby realizing the objective evaluation of the inherent risk of the chemical enterprise.

[0132] Embodiment 2

[0133] Please refer to Figure 3 , Figure 3 It is a schematic diagram of the architecture of a device for evaluating inherent risks of chemical enterprises provided in an embodiment of the present invention.

[0134] Based on the same inventive concept, the embodiment of the present invention further provides a device 200 for evaluating inherent risks of a chemical enterprise, comprising:

[0135] The collection module 210 is used to collect the relevant operation data of the chemical enterprise, and classify and pre-process the relevant operation data of the chemical enterprise to obtain multiple evaluation data sets;

[0136] The first processing module 220 is used to use each evaluation data set as an evaluation indicator, and determine the entropy weight method weight and the evaluation method weight of each evaluation indicator through the entropy weight method and the evaluation method;

[0137] The second processing module 230 is used to perform weighted summation on the entropy weight method weight and the evaluation method weight of each evaluation index to obtain a comprehensive weight of each evaluation index;

[0138] The second processing module 240 is used to determine the risk level of the inherent risk of the chemical enterprise based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator;

[0139] The display module 250 is used to output and display the risk level of the inherent risk of the chemical enterprise.

[0140] It should be understood that the device corresponds to the above-mentioned embodiment of the method for evaluating inherent risks of chemical enterprises, and can perform the various steps involved in the above-mentioned method embodiment. The specific functions of the device can be found in the description above, and the detailed description is appropriately omitted here to avoid repetition. The device includes at least one software function module that can be stored in a memory in the form of software or firmware or fixed in the operating system (OS) of the device.

[0141] Embodiment 3

[0142] Based on the same inventive concept, an embodiment of the present invention also provides an electronic device, including: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the above-mentioned method for evaluating inherent risks of chemical enterprises is executed.

[0143] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0144] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0145] Embodiment 4

[0146] An embodiment of the present invention also provides a computer-readable storage medium, which stores instructions. When the instructions are executed by a processor, they are suitable for executing a program with the following method steps: collecting relevant operating data of chemical enterprises, and classifying and preprocessing the relevant operating data of chemical enterprises to obtain multiple evaluation data sets; using each evaluation data set as an evaluation indicator, and determining the entropy weight method weight and evaluation method weight of each evaluation indicator through the entropy weight method and the evaluation method; performing weighted summation on the entropy weight method weight and the evaluation method weight of each evaluation indicator to obtain the comprehensive weight of each evaluation indicator; determining the risk level of the inherent risk of the chemical enterprise based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator; and outputting and displaying the risk level of the inherent risk of the chemical enterprise.

[0147] In one embodiment, the above-mentioned method for evaluating inherent risks of chemical enterprises also includes: the entropy weight method weight of each evaluation indicator is determined in the following manner: calculating the proportion of each evaluation data under each evaluation indicator; calculating the entropy value of each evaluation indicator based on the proportion; calculating the entropy redundancy of each evaluation indicator based on the entropy value of each evaluation indicator; calculating the entropy weight method weight of each evaluation indicator based on the entropy redundancy of each evaluation indicator.

[0148] In one embodiment, the above-mentioned method for evaluating inherent risks of chemical enterprises further includes: the calculation rule of the proportion of each evaluation data under each evaluation index is: Among them, p ij represents the proportion of the jth evaluation data under the i-th evaluation index; X ij represents the jth evaluation data under the i-th evaluation index; n represents a total of n evaluation data, that is, j = 1, ..., n; the calculation rule of the entropy value of each evaluation index is: Among them, e i represents the entropy value of the i-th evaluation index; k is a constant, ensuring that 0≤e i ≤1, the calculation rule is: The calculation rule of entropy redundancy of each evaluation index is: i =1-e i ; where d i Represents the entropy redundancy of the i-th evaluation index; the calculation rule of the entropy weight method weight of each evaluation index is: Among them, w1 i represents the entropy weight of the i-th evaluation index; m means there are m evaluation indexes in total, i.e., i=1,...,m.

[0149] In one embodiment, the above-mentioned method for evaluating inherent risks of chemical enterprises further includes: the calculation rule of the variability of each evaluation index is: Among them, S i represents the variability of the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index; It represents the mean of the evaluation data set corresponding to the i-th evaluation index, and its calculation rule is: n represents a total of n evaluation data, that is, j = 1, ..., n; the calculation rule for the conflict of each evaluation index is: Among them, R i Indicates the conflict of the i-th evaluation index; r kl It represents the correlation coefficient between the kth evaluation index and the lth evaluation index, and its calculation rule is: X jk Represents the kth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the kth evaluation index, and its calculation rule is: X jl The lth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the lth evaluation index, and its calculation rule is: The calculation rules of the information amount of each evaluation index are: i =S i *R i Among them, C i Represents the information content of the i-th evaluation index; the calculation rule of the evaluation method weight of each evaluation index is: Among them, w2 i Represents the evaluation method weight of the i-th evaluation indicator.

[0150] In one embodiment, the above-mentioned method for evaluating inherent risks of chemical enterprises further includes: the calculation rule of the comprehensive weight of each evaluation index is: i =α*w1 i +β*w2 i ,α+β=1; where w i represents the comprehensive weight of the i-th evaluation index; w1 i represents the entropy weight of the i-th evaluation index; w2 i represents the evaluation method weight of the i-th evaluation indicator; α represents the weight of the entropy weight method weight of the i-th evaluation indicator; β represents the weight of the evaluation method weight of the i-th evaluation indicator.

[0151] In one embodiment, the above-mentioned method for evaluating the inherent risks of chemical enterprises also includes: using the superior-inferior solution distance method to calculate the comprehensive weight of each evaluation indicator and the corresponding evaluation data set to obtain an evaluation score for the inherent risks of the chemical enterprise; and grading the evaluation score for the inherent risks of the chemical enterprise to determine the inherent risk level of the chemical enterprise.

[0152] In one embodiment, the above-mentioned method for evaluating inherent risks of chemical enterprises also includes: determining the maximum value in the evaluation data set corresponding to each evaluation indicator as the positive ideal solution of each evaluation indicator; determining the minimum value in the evaluation data set corresponding to each evaluation indicator as the negative ideal solution of each evaluation indicator; calculating the weighted distance between each evaluation indicator and the positive ideal solution of each evaluation indicator, as well as the weighted distance between each evaluation indicator and the negative ideal solution of each evaluation indicator based on the positive ideal solution of each evaluation indicator, the negative ideal solution of each evaluation indicator and the comprehensive weight of each evaluation indicator; calculating the evaluation score of inherent risks of chemical enterprises based on the weighted distance between each evaluation data under each evaluation indicator and the positive ideal solution of each evaluation indicator, as well as the weighted distance between each evaluation data under each evaluation indicator and the negative ideal solution of each evaluation indicator.

[0153] In one embodiment, the above-mentioned method for evaluating inherent risks of chemical enterprises further includes: the calculation rule of the weighted distance between each evaluation index and the positive ideal solution of each evaluation index is: in, represents the weighted distance between the ith evaluation index and the positive ideal solution of the ith evaluation index; w i represents the comprehensive weight of the i-th evaluation index; represents the positive ideal solution under the i-th evaluation index; X ij represents the jth evaluation data under the i-th evaluation index; the calculation rule of the weighted distance between each evaluation index and the negative ideal solution of each evaluation index is: in, Represents the weighted distance between each evaluation index and the negative ideal solution of each evaluation index; It represents the negative ideal solution of each evaluation index; the calculation rule of the evaluation score of the inherent risk of chemical enterprises is: Among them, S represents the evaluation score of the inherent risk of chemical enterprises.

[0154] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0155] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0156] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0157] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0158] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0159] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part.

[0160] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0161] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for evaluating inherent risks of chemical enterprises, characterized in that: include: Collect relevant operation data of chemical enterprises, classify and pre-process the relevant operation data of chemical enterprises, and obtain multiple evaluation data sets; Taking each evaluation data set as the evaluation index, the entropy weight method weight and evaluation method weight of each evaluation index are determined by the entropy weight method and the evaluation method; The entropy weight method weight and the evaluation method weight of each evaluation index are weighted and summed to obtain the comprehensive weight of each evaluation index; Determine the risk level of the inherent risk of chemical enterprises based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator; The risk level of inherent risks of chemical enterprises is output and displayed.

2. The method for evaluating inherent risks of chemical enterprises according to claim 1, characterized in that: Preprocessing includes: Dedimensionalization, normalization, deduplication and interpolation.

3. The method for evaluating inherent risks of chemical enterprises according to claim 1, characterized in that: The entropy weight of each evaluation index is determined by the following method: Calculate the proportion of each evaluation data under each evaluation indicator; Calculate the entropy value of each evaluation index based on the proportion; Calculate the entropy redundancy of each evaluation indicator based on the entropy value of each evaluation indicator; The entropy weight method weight of each evaluation indicator is calculated based on the entropy redundancy of each evaluation indicator.

4. The method for evaluating inherent risks of chemical enterprises according to claim 3, characterized in that: The calculation rules for the proportion of each evaluation data under each evaluation indicator are as follows: Among them, p ij represents the proportion of the jth evaluation data under the i-th evaluation index; X ij represents the jth evaluation data under the i-th evaluation index; n represents a total of n evaluation data, i.e., j = 1, ..., n; The calculation rules of the entropy value of each evaluation index are as follows: Among them, e i represents the entropy value of the i-th evaluation index; k is a constant, ensuring that 0≤e i ≤1, the calculation rule is: The calculation rules of entropy redundancy of each evaluation index are as follows: d i =1-e i ; where d i Represents the entropy redundancy of the i-th evaluation index; The calculation rules of the entropy weight method weights of each evaluation index are as follows: Among them, w1 i represents the entropy weight of the i-th evaluation index; m means there are m evaluation indexes in total, i.e., i=1,...,m.

5. The method for evaluating inherent risks of chemical enterprises according to claim 1, characterized in that: The evaluation weight of each evaluation indicator is determined by the following method: Calculate the variability and conflict of each evaluation indicator; Calculate the information content of each evaluation indicator based on its variability and conflict; The evaluation method weight of each evaluation indicator is calculated based on the information content of each evaluation indicator.

6. The method for evaluating inherent risks of chemical enterprises according to claim 5, characterized in that: The calculation rules for the variability of each evaluation index are as follows: Among them, S i represents the variability of the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index; It represents the mean of the evaluation data set corresponding to the i-th evaluation index, and its calculation rule is: n means there are n evaluation data in total, i.e. j=1,...,n; The calculation rules for the conflict of each evaluation index are as follows: Among them, R i Indicates the conflict of the i-th evaluation index; r kl It represents the correlation coefficient between the kth evaluation index and the lth evaluation index, and its calculation rule is: X jk Represents the kth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the kth evaluation index, and its calculation rule is: X jl The lth evaluation data under the jth evaluation index; It represents the mean of the evaluation data set corresponding to the lth evaluation index, and its calculation rule is: The calculation rules of the information amount of each evaluation index are as follows: C i =S i *R i Among them, C i Represents the information content of the i-th evaluation index; The calculation rules for the evaluation method weights of each evaluation index are as follows: Among them, w2 i Represents the evaluation method weight of the i-th evaluation indicator.

7. The method for evaluating inherent risks of chemical enterprises according to claim 1, characterized in that: The calculation rules for the comprehensive weight of each evaluation index are as follows: w i =α*w1 i +β*w2 i ,α+β=1; where w i represents the comprehensive weight of the i-th evaluation index; w1 i represents the entropy weight of the i-th evaluation index; w2 i represents the evaluation method weight of the i-th evaluation indicator; α represents the weight of the entropy weight method weight of the i-th evaluation indicator; β represents the weight of the evaluation method weight of the i-th evaluation indicator.

8. The method for evaluating inherent risks of chemical enterprises according to claim 1, characterized in that: The risk level of the inherent risk of chemical enterprises is determined based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator, including: The superior-inferior solution distance method is used to calculate the comprehensive weight of each evaluation indicator and the corresponding evaluation data set to obtain the evaluation score of the inherent risk of chemical enterprises; The evaluation scores of the inherent risks of chemical enterprises are graded to determine the inherent risk level of the chemical enterprise.

9. The method for evaluating inherent risks of chemical enterprises according to claim 8, characterized in that: Using the superior and inferior solution distance method, the comprehensive weights of each evaluation indicator and the corresponding evaluation data set are calculated to obtain the evaluation score of the inherent risk of chemical enterprises, including: The maximum value in the evaluation data set corresponding to each evaluation index is determined as the positive ideal solution of each evaluation index; The minimum value in the evaluation data set corresponding to each evaluation index is determined as the negative ideal solution of each evaluation index; Based on the positive ideal solution of each evaluation index, the negative ideal solution of each evaluation index and the comprehensive weight of each evaluation index, the weighted distance between each evaluation index and the positive ideal solution of each evaluation index and the weighted distance between each evaluation index and the negative ideal solution of each evaluation index are calculated; The evaluation score of the inherent risk of chemical enterprises is calculated based on the weighted distance between each evaluation data under each evaluation indicator and the positive ideal solution of each evaluation indicator, as well as the weighted distance between each evaluation data under each evaluation indicator and the negative ideal solution of each evaluation indicator.

10. The method for evaluating inherent risks of chemical enterprises according to claim 9, characterized in that: The calculation rule of the weighted distance between each evaluation index and the positive ideal solution of each evaluation index is: in, represents the weighted distance between the ith evaluation index and the positive ideal solution of the ith evaluation index; w i represents the comprehensive weight of the i-th evaluation index; represents the positive ideal solution under the i-th evaluation index; X ij Represents the jth evaluation data under the i-th evaluation index; The calculation rule of the weighted distance between each evaluation index and the negative ideal solution of each evaluation index is: in, Represents the weighted distance between each evaluation index and the negative ideal solution of each evaluation index; represents the negative ideal solution of each evaluation index; The calculation rules for the evaluation score of inherent risks of chemical enterprises are as follows: Among them, S represents the evaluation score of the inherent risk of chemical enterprises.

11. A device for evaluating inherent risks of chemical enterprises, characterized in that: include: The collection module is used to collect the relevant operation data of chemical enterprises, and classify and pre-process the relevant operation data of chemical enterprises to obtain multiple evaluation data sets; The first processing module is used to use each evaluation data set as an evaluation indicator, and determine the entropy weight method weight and the evaluation method weight of each evaluation indicator through the entropy weight method and the evaluation method; The second processing module is used to perform weighted summation on the entropy weight method weight and the evaluation method weight of each evaluation index to obtain the comprehensive weight of each evaluation index; The second processing module is used to determine the risk level of the inherent risk of the chemical enterprise based on the comprehensive weight of each evaluation indicator and the evaluation data set corresponding to each evaluation indicator; The display module is used to output and display the risk level of the inherent risk of chemical enterprises.

12. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the method for evaluating the inherent risks of a chemical enterprise according to any one of claims 1 to 10 is executed.

13. A computer-readable storage medium storing computer instructions, characterized in that: When the computer instructions are executed on a computer, the computer is enabled to execute the method for evaluating inherent risks of a chemical enterprise according to any one of claims 1 to 10.

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