WO2018196538A1 - Production environment safety analysis method, device, and system - Google Patents

Production environment safety analysis method, device, and system Download PDF

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Publication number
WO2018196538A1
WO2018196538A1 PCT/CN2018/080840 CN2018080840W WO2018196538A1 WO 2018196538 A1 WO2018196538 A1 WO 2018196538A1 CN 2018080840 W CN2018080840 W CN 2018080840W WO 2018196538 A1 WO2018196538 A1 WO 2018196538A1
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WIPO (PCT)
Prior art keywords
safety production
safety
historical data
production
index
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PCT/CN2018/080840
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French (fr)
Chinese (zh)
Inventor
陈涛
陈智超
季学伟
李志鹏
周轶
吕颖
吴爱枝
张慧
张维
Original Assignee
清华大学
北京市安全生产科学技术研究院
北京辰安科技股份有限公司
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Priority to SG11201910012X priority Critical patent/SG11201910012XA/en
Publication of WO2018196538A1 publication Critical patent/WO2018196538A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Definitions

  • the invention relates to the field of safety supervision, in particular to an analysis method, device and system for production environment safety.
  • the analysis of the safety of the production environment is a very important content in the safety production supervision.
  • the safety production of the enterprise is improved.
  • the preventive ability of management lays a solid foundation for the construction of a safe and preventive harmonious production environment, the State Administration of Work Safety (hereinafter referred to as “the State Administration of Work Safety”) and the Safety Production Supervision Administration of each province, city and county (hereinafter referred to as For the "Safety Supervision Bureau” and other administrative departments not only need to conduct safety inspections of enterprises in their own jurisdiction, but also need to analyze and evaluate the overall safety and production environment to ensure the smooth operation of production and operation activities.
  • the city is a highly concentrated area such as the population, resources, and social wealth of the modern society. It is also an area where all kinds of safety production accidents occur frequently. In order to further protect the safety of the city, it is necessary to make a comprehensive analysis of the situation of urban safety production. .
  • Embodiments of the present invention provide a method, device, and system for analyzing a production environment security, which can analyze the security of a safe production environment.
  • a method for analyzing a safety of a production environment comprising: acquiring a plurality of levels of an indicator system affecting the safety of a production environment and safety production indicators of each level, Levels include at least a lowest level, at least one intermediate level, and a highest level; respectively calculating weight values of the safety production indicators of the lowest level and the intermediate level by using an analytic hierarchy process; acquiring a lowest level of a predetermined period of the plurality of analysis objects Historical data of safety production indicators, historical data of the lowest level safety production indicators include historical data of positive safety production indicators and historical data of negative safety production indicators, said positive safety production indicators indicate safety to production environment a safety production indicator having a positive impact, the negative safety production indicator indicating a safety production indicator having a negative impact on the safety of the production environment; each historical data for the same safety production indicator acquired is based on the plurality of analysis objects All of the same safety production indicators stated during the scheduled period The historical data is subjected to standardization processing; and
  • a production environment safety analysis apparatus comprising: an indicator acquisition module for acquiring multiple levels of the indicator system affecting the safety of the production environment and security of each level a production indicator, the plurality of levels includes at least a lowest level, at least one intermediate level, and a highest level; a weight calculation module, configured to separately calculate a weight value of the lowest level safety production indicator and the intermediate level by using an analytic hierarchy process a weighting value of the safety production index; a data acquisition module, configured to acquire historical data of a lowest level safety production index of a predetermined period of the plurality of analysis objects, wherein the historical data of the lowest level safety production indicator includes a positive safety production index Historical data and historical data on negative safety production indicators, which indicate safety production indicators that have a positive impact on the safety of the production environment, which indicate a negative impact on the safety of the production environment.
  • Safety production indicator standardized processing module for targeting Each historical data of the acquired same safety production indicator is standardized based on all historical data of the same safety production indicator of a predetermined period of the plurality of analysis objects; and a safety production index calculation module for performing the standardization processing according to the The highest level of safety production index is calculated by the historical data of the lowest level safety production index, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index.
  • a production environment security analysis system includes: a memory for storing a program; and a processor configured to execute the program stored in the memory to execute The following steps: obtaining multiple levels of the indicator system affecting the safety of the production environment and safety production indicators of each level, the plurality of levels including at least the lowest level, at least one intermediate level and the highest level; a weight value of a lowest level safety production index and a weight value of the safety production index of the intermediate level; obtaining historical data of a lowest level safety production index of a predetermined period of the plurality of analysis objects, the lowest level safety production index
  • the historical data includes historical data of positive safety production indicators and historical data of negative safety production indicators, which indicate safety production indicators that have a positive impact on the safety of the production environment, and the negative safety production indicators.
  • Safety production index that has a negative impact on the safety of the production environment
  • Each of the historical data for the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects; and according to the standardization process
  • the highest level of safety production index is calculated from the historical data of the lowest level safety production index, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index.
  • the production environment security analysis method, device and system according to the embodiment of the invention can not only compare the analysis results of different analysis objects in the same time period, but also compare the analysis results of the same analysis object in different time periods, thereby being able to The safety of the production environment is fully and reliably analyzed.
  • FIG. 1 is a flow chart showing an analysis method of production environment security according to an embodiment of the present invention
  • Figure 2 is a detailed flow chart for calculating the weight values of the safety production indicators of the lowest level and the intermediate level in Figure 1;
  • 3 is a detailed flow chart of standardization processing of historical data for safety production indicators
  • FIG. 4 is a schematic structural view of an analysis device for manufacturing environment safety according to an embodiment of the present invention.
  • FIG. 5 is a detailed structural diagram of a standardized processing module
  • FIG. 6 is a block diagram showing an exemplary hardware architecture of a production environment security analysis system capable of implementing a method and apparatus for performing security analysis of a production environment in accordance with an embodiment of the present invention.
  • the production environment security analysis method 100 in this embodiment includes the following steps:
  • Step S110 acquiring multiple levels of the indicator system that affect the safety of the production environment and safety production indicators of each level, the plurality of levels including at least the lowest level, at least one intermediate level, and the highest level;
  • Step S120 Calculating weight values of the safety production indicators of the lowest level and the intermediate level by using an analytic hierarchy process
  • Step S130 acquiring historical data of the lowest level of safety production indicators of the predetermined period of the plurality of analysis objects, the historical data of the lowest level safety production indicators including the historical data of the positive safety production indicators and the history of the negative safety production indicators Data, the positive safety production indicator indicates a safety production indicator that has a positive impact on the safety of the production environment, and the negative safety production indicator indicates a safety production indicator that has a negative impact on the safety of the production environment;
  • Step S140 performing normalization processing on each historical data of the same safety production indicator for the predetermined period of the plurality of analysis objects for each historical data of the acquired same safety production indicator;
  • Step S150 calculating the highest level according to the historical data of the lowest level safety production index after the standardization process, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index.
  • Safety production index calculating the highest level according to the historical data of the lowest level safety production index after the standardization process, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index.
  • the establishment of an indication system is a premise and basis for analyzing a research object
  • the indicator system can decompose the abstract research object into a concrete and operable structure, and establish
  • the index system of the safe production environment analyzes the safety production index, and can analyze the safety of the production environment as a whole and predict the safety production accidents.
  • the index system of the evaluation or analysis program is determined, and the index system is constructed.
  • Hierarchical structure, and Analytic Hierarchy Process (AHP) is used as a method to determine the weight of each safety production indicator at a specified level.
  • the indicator system of the safe production environment may have three or more levels.
  • the three levels are respectively the lowest level, the middle level, and the highest level; if there are three or more levels, the three or more levels are respectively the lowest level and more than one intermediate level. And the highest level.
  • FIG. 2 is a detailed flow chart showing the calculation of the weight values of the respective safety production indicators of the lowest level and the intermediate level in FIG.
  • step S120 may specifically include the following steps:
  • step S121 the importance scores of the safety production indicators of the lowest level and the middle level are respectively obtained.
  • the importance score is obtained by scoring the importance of each safety production index at the lowest level and the middle level according to a preset index importance level score standard.
  • Step S122 based on the importance scores of the safety production indicators of the lowest level and the intermediate level, respectively construct the index weight judgment matrix of the lowest level and the middle level.
  • step S123 the weight values of the safety production indicators in the index weight judgment matrix of the lowest level and the middle level are respectively calculated.
  • An important feature of the analytic hierarchy process is the use of the ratio of the degree of importance between each safety production indicator and the other safety production indicators at the same level to indicate the importance level, ie the weight of the safety production indicator.
  • specific users can use the analysis scale of the analytic hierarchy process to compare the safety production indicators of each level by pairwise comparison and score according to their importance.
  • Table 1 exemplarily shows the pairwise comparison scores of the analytical criteria of the conventional AHP and their meanings.
  • the matrix formed by the comparison between the respective safety production indicators at the specified level and other safety production indicators is the judgment matrix.
  • step S121 importance is directly scored for each safety production indicator of the specified level according to a preset index importance level scoring standard.
  • Table 2 exemplarily shows the importance degree definition and corresponding score for each safety production index in the scoring standard of the analytic hierarchy process according to an embodiment of the present invention.
  • the examples in Table 2 should not be construed as specific definitions of the AHP scoring criteria.
  • the importance degree of each safety production index in the specified level is scored according to the preset index importance degree scoring standard, and the index weight of the level is determined according to the importance score of each safety production index. matrix.
  • the step S122 may specifically include: calculating an average score of the importance scores of the safety production indicators of the lowest level and the intermediate level by using the importance score; and calculating an average score of the importance scores according to the calculation,
  • the index weight judgment matrix of the lowest level and the middle level is respectively constructed, wherein the value of the matrix element in the index weight judgment matrix is the average score of the importance score of the safety production indicator corresponding to the column of the matrix element and the row corresponding to the row of the matrix element The average score of the average score of the importance score of the safety production indicator.
  • the construction process of the index weight judgment matrix is described below by a specific example.
  • the consequences of the accident as a tiered indicator include the following indicators such as: D1, the number of deaths from production safety accidents; D2, the number of deaths from fire accidents; D3, the number of road traffic deaths.
  • a specific user such as an expert or other designated assessor, scores the importance of the indicators D1, D2, and D3 according to the analytic hierarchy scoring criteria shown in Table 2 according to professional knowledge.
  • Table 3 below schematically shows the results of three specific users scoring the importance of the level indicators.
  • the scores of the importance scores of the indicators D1 are 7, 5, and 0; the scores of the importance scores of the indicators D2 are 7, 5, and 9, respectively; and the scores of the importance scores of the indicators D3. They are 0, 5, and 9, respectively.
  • the average score of the importance scores of each indicator is calculated by the ratio of the sum of the importance scores of the various indicators to the number of specific users participating in the score.
  • the average score of the importance score of the index D1 is 4; the average score of the importance score of the index D2 is 7; and the average score of the importance score of the index D3 is 4.667.
  • the index weight judgment matrices of the lowest level and the intermediate level are respectively constructed.
  • Table 4 schematically shows the index weight judgment matrix constructed based on the average score of each indicator importance score, using the ratio of the pairwise comparison between the indicators.
  • the value of each position point in the index weight judgment matrix is the ratio of the average score of the importance score of one indicator after the position point to the average score of the importance score of the previous indicator.
  • the value of the matrix element in the index weight judgment matrix is the ratio of the average score of the importance score of the index corresponding to the column of the matrix element to the average score of the importance score of the index corresponding to the row of the matrix element.
  • the indicator weight judgment matrix is the embodiment of the degree of association between the indicators, and the degree of relevance is determined by the rating of all indicators by all specific users.
  • the weight value of each safety production indicator of the level can be calculated by constructing the index weight judgment matrix of the specified level.
  • Table 5 schematically shows the summation of each row of the matrix according to the index weight judgment matrix in Table 4, and the summation result of summing all the values.
  • Table 5 Index weighting judgment matrix summation of rows and summation of all values
  • each position point of the index weight judgment matrix is summed for each line, and the summation result of each position point of the first line is 4.4175, and the sum result of each position point of the second line is obtained. It is 2.23814, and the summation result of each position point in the third line is 3.35697.
  • the weight value of the index D1 is represented as ⁇ 1
  • the weight value of the index D2 is represented as ⁇ 2
  • the weight value of the index D3 is represented as ⁇ 3 .
  • the value of ⁇ 1 is the ratio of the summation result of each position point of the first line to the summation result of all the position points, that is, The same calculation
  • the method for calculating the weight value of the index according to the constructed index weight judgment matrix in the embodiment of the present invention should not be construed as limiting the weight value calculation method in the embodiment of the present invention. That is to say, in the embodiment of the present invention, the method for calculating the weight value of each safety production index according to the constructed index weight judgment matrix can be selected according to the actual calculation requirement.
  • the constructed indicator weight judgment matrix may have a consistency problem, in order to improve the indicator.
  • the accuracy of the data in the weight judgment matrix may further include the following steps: performing consistency check on the index weight judgment matrix of the lowest level and the intermediate level respectively to determine the index weights of the lowest level and the middle level It is judged whether the matrix has consistency; and if the index weight judgment matrix of the lowest level and the intermediate level has consistency, the weight values of the respective indicators of the lowest level and the intermediate level are calculated.
  • the consistency check is performed on the index weight judgment matrix, and the test result weight judgment matrix is determined by the test result to improve the correctness and validity of the overall analysis and analysis result.
  • the index weight judgment matrix can pass the consistency test, the importance of each safety production indicator of the level needs to be re-scored and the index weight judgment matrix is constructed.
  • step S130 when it is necessary to perform evaluation analysis on a plurality of analysis objects, historical data of the lowest level safety production indicators of different time periods of the predetermined period are respectively acquired for each analysis object, for example, obtaining The historical data of the lowest level of safety production indicators of the A object, the B object, and the C object in the past five years.
  • safety production indicators include positive safety production indicators that have a positive impact on the safety of the production environment and negative safety production indicators that have a negative impact on the safety of the production environment
  • historical data for the lowest level of safety production indicators includes positive Historical data on safety production indicators and historical data on negative safety production indicators.
  • step S140 each history data of the acquired same safety production index is subjected to standardization processing based on all history data of the same safety production index for a predetermined period of the plurality of analysis objects.
  • step S141 is included, and each historical data of the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator.
  • a normalization method represented by the formula (2) may be employed, and the formula (1) represents a calculation method of the coefficient of variation, wherein x represents historical data of the safety production index, and max(x) represents the plurality of analyses.
  • the historical data normalization process for the forward safety production index can be normalized only, and the normalization process for the historical data of the negative safety production index includes not only the normalization process but also the forward processing. That is, step S140 is further included in step S140, and the normalization processing shown in the equation (3) is performed after the normalization processing is performed on the history data of the negative safety production index, and z' indicates that the forwardization is performed. Historical data of the negative safety production indicators after processing.
  • the influence of the data difference of the collected historical data due to different dimensions and different data sizes on the data analysis is eliminated, the data precision is improved, and the collected historical data is standardized.
  • the historical data of the same safety production index is normalized by using the same standard method as described above.
  • all the historical data of all the analysis targets of the safety production index are considered, and the data of the safety production index is unified into the range of (0, 1).
  • step S150 according to the historical data of the lowest level safety production index after the normalization processing, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index The highest level of safety production index.
  • the calculation of the highest level of indicator data can be performed by the following formula (4).
  • SPI represents the safety production index, that is, the highest level index
  • Inc. represents the safety production accident index
  • IR represents the inherent risk index
  • SafetySup represents the safety supervision index
  • Inc IR and SafetySup represent the intermediate level, ie, the second level. index.
  • ⁇ j is the weight of the secondary indicator, that is, the safety production accident index
  • ⁇ j is the weight of the secondary indicator, the inherent risk index
  • ⁇ j is the weight of the secondary indicator safety supervision index
  • m is the corresponding secondary indicator
  • the number of ⁇ i is the weight of each third-level indicator corresponding to the secondary level
  • n is the number of the third-level indicators under the corresponding secondary indicator, and nor[] further performs the calculated index data of the highest level.
  • the index data of the highest level calculated can be further standardized to improve the accuracy of the data.
  • Min-Max normalization also known as Min-Max standardization
  • the safety production index is performed by linear transformation method.
  • the standardization process makes the value of the standardized production safety index fall within the (0, 1) range.
  • the following embodiments of the present invention provide the following method for standardization of the deviation.
  • the embodiment of the present invention normalizes the highest level of safety production index by using the following formula (5) and formula (6):
  • t is the highest level of safety production index after standardization
  • w is the highest level of safety production index before standardization
  • w min and w max are respectively the predetermined periods of the acquired multiple analysis objects.
  • the minimum and maximum values of the safety production index of all the highest levels, k 1 and k 2 are constant.
  • k 1 may have a value of 0.1 and k 2 may have a value of 1.1.
  • the index value of the current layer and the weight of each safety production index of the upper layer may be calculated according to the calculation.
  • the index calculation of the safety production indicators of the upper layer is calculated upwards in such a layer, and finally the safety production index of the highest level index is obtained.
  • a production environment security analysis method is provided, an index system index is obtained, and a hierarchical analysis method is used to construct a judgment matrix of a hierarchical index of a production environment, and a weight of each safety production index is calculated. Value, and standardize the collected historical data, and progressively calculate the highest level of safety production index to analyze the safety of the production environment.
  • the apparatus for analyzing environmental safety of an embodiment of the present invention includes:
  • the indicator obtaining module 210 is configured to acquire multiple levels of the indicator system that affect the security of the production environment and safety production indicators of each level, where the plurality of levels includes at least a lowest level, at least one intermediate level, and a highest level;
  • the weight calculation module 220 is configured to separately calculate a weight value of the lowest level safety production indicator and a weight value of the intermediate level safety production indicator by using an analytic hierarchy process;
  • the data obtaining module 230 is configured to acquire historical data of a lowest level of safety production indicators of a predetermined period of the plurality of analysis objects, wherein the historical data of the lowest level safety production indicators includes historical data of positive safety production indicators and negative safety Historical data on production indicators;
  • a normalization processing module 240 configured to perform normalization processing on each historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects for each historical data of the acquired same safety production indicator;
  • a safety production index calculation module 250 configured to calculate historical data of the lowest level safety production index, weight value of the lowest level safety production index, and weight of the intermediate level safety production index according to the standardized processing The value calculates the highest level of safety production index.
  • the hierarchical index of the safe production environment is obtained, the weights of each safety production index of each level are calculated, and the historical data of the collected safety indicators are standardized and calculated. Get the highest level of safety production index to analyze the safety of the production environment.
  • the weight calculation module may further include: an importance score acquisition unit, configured to respectively acquire importance scores of the lowest level and intermediate level safety production indicators; and a judgment matrix construction unit, configured to be based on the lowest level and the intermediate level
  • the importance scores of the safety production indicators are respectively constructed to determine the index weight judgment matrix of the lowest level and the middle level; and the weight value calculation unit is used to calculate the weight values of the safety production indicators in the index weight judgment matrix of the lowest level and the middle level respectively.
  • the judgment matrix construction unit is specifically configured to: calculate an average score of the importance scores of the safety production indicators of the lowest level and the intermediate level by using the importance score; and calculate an average score of the importance scores,
  • the index weight judgment matrix of the lowest level and the middle level is respectively constructed, wherein the value of the matrix element in the index weight judgment matrix is the average score of the importance score of the indicator corresponding to the column of the matrix element and the index corresponding to the row of the matrix element The ratio of the average scores of the importance scores.
  • the weight calculation module may further include a consistency check unit that performs consistency check on the index weight judgment matrix of the lowest level and the intermediate level respectively to determine whether the index weight judgment matrix of the lowest level and the intermediate level is consistent. .
  • the weight value calculation unit calculates the weight values of the respective indicators of the lowest level and the intermediate level in the case where the index weight judgment matrix of the lowest level and the intermediate level has consistency.
  • FIG. 5 shows a detailed structural diagram of a standardized processing module.
  • the normalization processing module 240 of FIG. 5 includes a normalization processing unit 241 and a forward processing unit 242.
  • the normalization processing unit 241 normalizes each historical data of the same safety production indicator acquired for each historical data of the same safety production indicator.
  • the forward processing unit 242 performs forward processing on the historical data of the negative safety production index after performing the normalization processing.
  • the normalization processing unit 241 and the forward processing unit 242 are the same as those described in the above-described analysis method of production safety.
  • production environment security analysis system 600 includes input device 601, input interface 602, central processor 603, memory 604, output interface 605, and output device 606.
  • the input interface 602, the central processing unit 603, the memory 604, and the output interface 605 are connected to each other through a bus 610.
  • the input device 601 and the output device 606 are respectively connected to the bus 610 through the input interface 602 and the output interface 605, thereby being safe with the production environment.
  • Other components of the sexual analysis system 600 are connected.
  • input device 601 receives input information from the outside and transmits the input information to central processor 603 via input interface 602; central processor 603 processes the input information based on computer executable instructions stored in memory 604 to generate an output.
  • Information, the output information is temporarily or permanently stored in memory 604, and then output information is communicated to output device 606 (eg, display, etc.) via output interface 605; output device 606 outputs the output information to production environment security analysis system 600
  • the outside is for the user to use.
  • the production environment security analysis system shown in FIG. 6 can be implemented to include: a memory storing computer-executable instructions; and a processor that can implement the computer-executable instructions in conjunction with FIG. Figure 5 illustrates a method and apparatus for analyzing the safety of a production environment.
  • the processor may communicate with an external device that acquires each safety production indicator to execute computer-executable instructions based on relevant information from the external device, thereby implementing the method and apparatus for manufacturing environment safety analysis described in connection with FIGS. 1 through 5. .
  • the production environment security analysis system 600 shown in FIG. 6 can be implemented to include: a memory for storing a program; and a processor for running a program stored in the memory to perform the following steps: obtaining a plurality of levels of an indicator system affecting the safety of the production environment and safety production indicators of each level, the plurality of levels including at least a lowest level, at least one intermediate level, and a highest level; respectively calculating the lowest level by using an analytic hierarchy process The weight value of the safety production index and the weight value of the safety production index of the intermediate level; the historical data of the lowest level safety production index of the predetermined period of the plurality of analysis objects, wherein the historical data of the lowest level safety production indicator includes Historical data of positive safety production indicators and historical data of negative safety production indicators, the positive safety production indicators indicate safety production indicators that have a positive impact on the safety of the production environment, and the negative safety production indicators indicate the production environment Safety production indicators that have a negative impact on safety; Each historical data of the same safety production index is standardized based on all historical data
  • the functional blocks shown in the block diagrams described above may be implemented as hardware, software, firmware, or a combination thereof.
  • hardware When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), suitable firmware, plug-ins, function cards, and the like.
  • ASIC application specific integrated circuit
  • the elements of the present invention are programs or code segments that are used to perform the required tasks.
  • the program or code segments can be stored in a machine readable medium or transmitted over a transmission medium or communication link through a data signal carried in the carrier.
  • a "machine-readable medium” can include any medium that can store or transfer information.
  • machine-readable media examples include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like.
  • the code segments can be downloaded via a computer network such as the Internet, an intranet, and the like.
  • the exemplary embodiments referred to in the present invention describe some methods or systems based on a series of steps or devices.
  • the present invention is not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiment, or may be different from the order in the embodiment, or several steps may be simultaneously performed.

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Abstract

The present invention relates to a production environment safety analysis method, device, and system. The method comprises: acquiring multiple hierarchies of an indication system influencing production environment safety and safe production indicators of each hierarchy, the multiple hierarchies at least comprising the lowest hierarchy, at least one intermediate hierarchy and the highest hierarchy; using an analytic hierarchy process to calculate the weight values of the safe production indicators of the lowest hierarchy and the intermediate hierarchy; acquiring historical data of the safe production indicators of the lowest hierarchy of multiple analysis objects in a predetermined period; normalizing the acquired historical data of each single safe production indicator, the basis of all the historical data of the same safe production indicator of the multiple analysis objects in the predetermined period; and calculating the safe production index of the highest hierarchy according to the normalized historical data of the safe production indicators of the lowest hierarchy, the weight values of the safe production indicators of the lowest hierarchy and the weight values of the safe production indicators of the intermediate hierarchy.

Description

生产环境安全性的分析方法、装置和系统Analytical method, device and system for production environment safety 技术领域Technical field
本发明涉及安全监管领域,尤其涉及生产环境安全性的分析方法、装置和系统。The invention relates to the field of safety supervision, in particular to an analysis method, device and system for production environment safety.
背景技术Background technique
在当前的生产经营的管理活动中,对生产环境的安全性进行分析是安全生产监管中的一项非常重要的内容,在企业的生产经营活动中,为确保企业的安全生产,提升企业安全生产管理的预防能力,为建设安全预防型和谐生产环境打下坚实基础,国家安全生产监督管理总局(以下,简称为“安监总局”)以及各个省市区县的安全生产监督管理局(以下,简称为“安监局”)等行政管理部门不仅需要对自己辖区内的企业进行安全检查,还需要对整体的安全生产的环境好坏进行分析评估,以保证生产经营活动得以顺利进行。In the current management activities of production and management, the analysis of the safety of the production environment is a very important content in the safety production supervision. In the production and operation activities of the enterprise, in order to ensure the safe production of the enterprise, the safety production of the enterprise is improved. The preventive ability of management lays a solid foundation for the construction of a safe and preventive harmonious production environment, the State Administration of Work Safety (hereinafter referred to as “the State Administration of Work Safety”) and the Safety Production Supervision Administration of each province, city and county (hereinafter referred to as For the "Safety Supervision Bureau" and other administrative departments not only need to conduct safety inspections of enterprises in their own jurisdiction, but also need to analyze and evaluate the overall safety and production environment to ensure the smooth operation of production and operation activities.
目前,衡量安全生产环境的安全生产指标众多,指标之间的关系复杂,导致很难有针对性地对安全生产环境提出合理的优化改善措施,使得安全生产环境的好坏难以衡量,成为安全生产监管人员面临的难题。At present, there are many safety production indicators for measuring the safety production environment, and the relationship between the indicators is complex, which makes it difficult to provide reasonable optimization and improvement measures for the safe production environment, making it difficult to measure the safety production environment and become safe production. The problems faced by regulators.
另外,例如城市是现代社会人口、资源、社会财富等高度集中的区域,也是各类安全生产事故频发的区域,为了进一步保障城市的安全,有必要对城市安全生产的形势做一个全面的分析。In addition, for example, the city is a highly concentrated area such as the population, resources, and social wealth of the modern society. It is also an area where all kinds of safety production accidents occur frequently. In order to further protect the safety of the city, it is necessary to make a comprehensive analysis of the situation of urban safety production. .
发明内容Summary of the invention
本发明实施例提供一种生产环境安全性分析方法、装置和系统,可以在对安全生产环境的安全性进行分析。Embodiments of the present invention provide a method, device, and system for analyzing a production environment security, which can analyze the security of a safe production environment.
根据本发明实施例的一方面,提供一种生产环境安全性分析方法,所述分析方法包括:获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间 层级和最高层级;利用层次分析法分别计算所述最低层级和所述中间层级的安全生产指标的权重值;获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。According to an aspect of an embodiment of the present invention, a method for analyzing a safety of a production environment is provided, the method comprising: acquiring a plurality of levels of an indicator system affecting the safety of a production environment and safety production indicators of each level, Levels include at least a lowest level, at least one intermediate level, and a highest level; respectively calculating weight values of the safety production indicators of the lowest level and the intermediate level by using an analytic hierarchy process; acquiring a lowest level of a predetermined period of the plurality of analysis objects Historical data of safety production indicators, historical data of the lowest level safety production indicators include historical data of positive safety production indicators and historical data of negative safety production indicators, said positive safety production indicators indicate safety to production environment a safety production indicator having a positive impact, the negative safety production indicator indicating a safety production indicator having a negative impact on the safety of the production environment; each historical data for the same safety production indicator acquired is based on the plurality of analysis objects All of the same safety production indicators stated during the scheduled period The historical data is subjected to standardization processing; and the historical data of the lowest level safety production index after the standardization processing, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index are calculated. The highest level of safety production index.
根据本发明实施例的另一方面,提供一种生产环境安全性分析装置,该分析装置包括:指标获取模块,用于获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;权重计算模块,用于利用层次分析法分别计算所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值;数据获取模块,用于获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;标准化处理模块,用于针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及安全生产指数计算模块,用于根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。According to another aspect of an embodiment of the present invention, a production environment safety analysis apparatus is provided, the analysis apparatus comprising: an indicator acquisition module for acquiring multiple levels of the indicator system affecting the safety of the production environment and security of each level a production indicator, the plurality of levels includes at least a lowest level, at least one intermediate level, and a highest level; a weight calculation module, configured to separately calculate a weight value of the lowest level safety production indicator and the intermediate level by using an analytic hierarchy process a weighting value of the safety production index; a data acquisition module, configured to acquire historical data of a lowest level safety production index of a predetermined period of the plurality of analysis objects, wherein the historical data of the lowest level safety production indicator includes a positive safety production index Historical data and historical data on negative safety production indicators, which indicate safety production indicators that have a positive impact on the safety of the production environment, which indicate a negative impact on the safety of the production environment. Safety production indicator; standardized processing module for targeting Each historical data of the acquired same safety production indicator is standardized based on all historical data of the same safety production indicator of a predetermined period of the plurality of analysis objects; and a safety production index calculation module for performing the standardization processing according to the The highest level of safety production index is calculated by the historical data of the lowest level safety production index, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index.
根据本发明实施例的再一方面,提供一种生产环境安全性分析系统,该分析系统包括:存储器,用于存储程序;处理器,用于运行所述存储器 中存储的所述程序,以执行以下步骤:获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;利用层次分析法分别计算所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值;获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。According to still another aspect of an embodiment of the present invention, a production environment security analysis system is provided, the analysis system includes: a memory for storing a program; and a processor configured to execute the program stored in the memory to execute The following steps: obtaining multiple levels of the indicator system affecting the safety of the production environment and safety production indicators of each level, the plurality of levels including at least the lowest level, at least one intermediate level and the highest level; a weight value of a lowest level safety production index and a weight value of the safety production index of the intermediate level; obtaining historical data of a lowest level safety production index of a predetermined period of the plurality of analysis objects, the lowest level safety production index The historical data includes historical data of positive safety production indicators and historical data of negative safety production indicators, which indicate safety production indicators that have a positive impact on the safety of the production environment, and the negative safety production indicators. Safety production index that has a negative impact on the safety of the production environment Each of the historical data for the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects; and according to the standardization process The highest level of safety production index is calculated from the historical data of the lowest level safety production index, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index.
根据本发明实施例的生产环境安全性分析方法、装置和系统,既能对同一时间段不同分析对象的分析结果进行对比,又能对不同时间段同一分析对象的分析结果进行对比,从而能够对生产环境的安全性进行全面可靠地分析。The production environment security analysis method, device and system according to the embodiment of the invention can not only compare the analysis results of different analysis objects in the same time period, but also compare the analysis results of the same analysis object in different time periods, thereby being able to The safety of the production environment is fully and reliably analyzed.
附图说明DRAWINGS
为了更清楚地说明本发明实施例的技术方案,下面将对本发明实施例中所需要使用的附图作简单地介绍,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, without any creative work, Other drawings can be obtained from these figures.
图1是示出根据本发明一实施例的生产环境安全性的分析方法的流程图;1 is a flow chart showing an analysis method of production environment security according to an embodiment of the present invention;
图2是图1中对最低层级和中间层级的安全生产指标的权重值进行计算的详细的流程图;Figure 2 is a detailed flow chart for calculating the weight values of the safety production indicators of the lowest level and the intermediate level in Figure 1;
图3是针对安全生产指标的历史数据的标准化处理的详细的流程图;3 is a detailed flow chart of standardization processing of historical data for safety production indicators;
图4是根据本发明一实施例的生产环境安全性的分析装置的结构示意 图;4 is a schematic structural view of an analysis device for manufacturing environment safety according to an embodiment of the present invention;
图5是标准化处理模块的具体的结构示意图;Figure 5 is a detailed structural diagram of a standardized processing module;
图6是示出能够实现根据本发明实施例的对生产环境进行安全性分析的方法和装置的生产环境安全性分析系统的示例性硬件架构的结构图。6 is a block diagram showing an exemplary hardware architecture of a production environment security analysis system capable of implementing a method and apparatus for performing security analysis of a production environment in accordance with an embodiment of the present invention.
具体实施方式detailed description
下面将详细描述本发明的各个方面的特征和示例性实施例,为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本发明进行进一步详细描述。应理解,此处所描述的具体实施例仅被配置为解释本发明,并不被配置为限定本发明。对于本领域技术人员来说,本发明可以在不需要这些具体细节中的一些细节的情况下实施。下面对实施例的描述仅仅是为了通过示出本发明的示例来提供对本发明更好的理解。The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are only to be construed as illustrative and not limiting. The present invention may be practiced without some of the details of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the invention.
需要说明的是,在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。It is to be understood that the term "comprises", "comprising" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a It also includes other elements that are not explicitly listed, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising", without limiting the invention, does not exclude the presence of additional elements in the process, method, article, or device.
下面结合附图,详细描述根据本发明实施例的生产环境安全性分析方法、装置和系统。应注意,这些实施例并不是用来限制本发明公开的范围。A production environment safety analysis method, apparatus and system according to an embodiment of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that these examples are not intended to limit the scope of the disclosure.
图1是示出根据本发明实施例的生产环境安全性的分析方法的流程图。如图1所示,本实施例中的生产环境安全性分析方法100包括以下步骤:1 is a flow chart showing an analysis method of production environment security according to an embodiment of the present invention. As shown in FIG. 1, the production environment security analysis method 100 in this embodiment includes the following steps:
步骤S110,获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;Step S110, acquiring multiple levels of the indicator system that affect the safety of the production environment and safety production indicators of each level, the plurality of levels including at least the lowest level, at least one intermediate level, and the highest level;
步骤S120,利用层次分析法分别计算所述最低层级和所述中间层级的安全生产指标的权重值;Step S120: Calculating weight values of the safety production indicators of the lowest level and the intermediate level by using an analytic hierarchy process;
步骤S130,获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产 指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;Step S130, acquiring historical data of the lowest level of safety production indicators of the predetermined period of the plurality of analysis objects, the historical data of the lowest level safety production indicators including the historical data of the positive safety production indicators and the history of the negative safety production indicators Data, the positive safety production indicator indicates a safety production indicator that has a positive impact on the safety of the production environment, and the negative safety production indicator indicates a safety production indicator that has a negative impact on the safety of the production environment;
步骤S140,针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;Step S140, performing normalization processing on each historical data of the same safety production indicator for the predetermined period of the plurality of analysis objects for each historical data of the acquired same safety production indicator;
步骤S150,根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。Step S150, calculating the highest level according to the historical data of the lowest level safety production index after the standardization process, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index. Safety production index.
在本发明的实施例中,指标体系(Indication System,IS)的建立是对研究对象进行分析的前提和基础,指标体系可以将抽象的研究对象分解成为具体地、可操作化的结构,通过建立安全生产环境的指标体系,对安全生产指数进行分析,可以对生产环境的安全性的好坏进行整体分析、对安全生产事故进行预测。In the embodiment of the present invention, the establishment of an indication system (IS) is a premise and basis for analyzing a research object, and the indicator system can decompose the abstract research object into a concrete and operable structure, and establish The index system of the safe production environment analyzes the safety production index, and can analyze the safety of the production environment as a whole and predict the safety production accidents.
在对安全生产指数进行分析的过程中,各个指标在整体评估和分析中的贡献往往是不同的,并且生产环境的安全性分析涉及的指标多,数据统计量较大,指标之间的关系复杂的特点,因此不能简单的只从数据信息角度确定各个指标的权重,为了使评估和分析的过程更加清晰和明确,在本发明实施例中,确定评估或分析方案的指标体系,构造指标体系的层次结构,并将层次分析法(Analytic Hierarchy Process,AHP)作为确定指定层级的各安全生产指标权重的方法。In the process of analyzing the safety production index, the contribution of each indicator in the overall assessment and analysis is often different, and the safety analysis of the production environment involves many indicators, the data statistics are large, and the relationship between the indicators is complex. Therefore, the weight of each indicator cannot be simply determined from the perspective of data information. In order to make the process of evaluation and analysis clearer and clearer, in the embodiment of the present invention, the index system of the evaluation or analysis program is determined, and the index system is constructed. Hierarchical structure, and Analytic Hierarchy Process (AHP) is used as a method to determine the weight of each safety production indicator at a specified level.
在步骤S110中,安全生产环境的指标体系可以具有三个或三个以上的层级。In step S110, the indicator system of the safe production environment may have three or more levels.
具体地,如果是三个层级,则该三个层级分别为最低层级、中间层级和最高层级;如果是三个以上的层级,则该三个以上的层级分别为最低层级、一个以上的中间层级和最高层级。Specifically, if there are three levels, the three levels are respectively the lowest level, the middle level, and the highest level; if there are three or more levels, the three or more levels are respectively the lowest level and more than one intermediate level. And the highest level.
作为一个可选实施例,图2是示出图1中对最低层级和中间层级的各个安全生产指标的权重值进行计算的详细的流程图。如图2所示,步骤S120具体可以包括以下步骤:As an alternative embodiment, FIG. 2 is a detailed flow chart showing the calculation of the weight values of the respective safety production indicators of the lowest level and the intermediate level in FIG. As shown in FIG. 2, step S120 may specifically include the following steps:
步骤S121,分别获取最低层级和中间层级的安全生产指标的重要性评分。In step S121, the importance scores of the safety production indicators of the lowest level and the middle level are respectively obtained.
在上述步骤S121中,重要性评分是根据预设的指标重要程度评分标准,分别对最低层级和中间层级的各个安全生产指标的重要性进行评分得到。In the above step S121, the importance score is obtained by scoring the importance of each safety production index at the lowest level and the middle level according to a preset index importance level score standard.
步骤S122,基于最低层级和中间层级的安全生产指标的重要性评分,分别构建最低层级和中间层级的指标权重判断矩阵。Step S122, based on the importance scores of the safety production indicators of the lowest level and the intermediate level, respectively construct the index weight judgment matrix of the lowest level and the middle level.
步骤S123,分别计算最低层级和中间层级的指标权重判断矩阵中安全生产指标的权重值。In step S123, the weight values of the safety production indicators in the index weight judgment matrix of the lowest level and the middle level are respectively calculated.
通过上述步骤S121~S123,对每个层级的安全生产指标进行评分,构建判断矩阵,并通过计算得到构建的判断矩阵中的各个安全生产指标的权重值。Through the above steps S121-S123, the safety production indicators of each level are scored, a judgment matrix is constructed, and the weight values of the respective safety production indicators in the constructed judgment matrix are obtained by calculation.
层次分析法的一个重要特点是利用相同层级的每个安全生产指标与其他安全生产指标间两两重要性程度之比的形式表示出重要性程度等级、即安全生产指标的权重。在通常的做法中,特定用户可以按照层次分析法的分析尺度为每个层级的安全生产指标通过两两比较,按其重要性程进行评分。An important feature of the analytic hierarchy process is the use of the ratio of the degree of importance between each safety production indicator and the other safety production indicators at the same level to indicate the importance level, ie the weight of the safety production indicator. In the usual practice, specific users can use the analysis scale of the analytic hierarchy process to compare the safety production indicators of each level by pairwise comparison and score according to their importance.
为了便于理解,下表1示例性的示出了传统层次分析法的分析标准的两两比较评分及其含义。For ease of understanding, Table 1 below exemplarily shows the pairwise comparison scores of the analytical criteria of the conventional AHP and their meanings.
表1传统层次分析法分析标准Table 1 Traditional Analytical Method Analysis Standards
Figure PCTCN2018080840-appb-000001
Figure PCTCN2018080840-appb-000001
Figure PCTCN2018080840-appb-000002
Figure PCTCN2018080840-appb-000002
根据上述表1中的分析标准,按指定层级的各个安全生产指标分别与其他安全生产指标间的比较的结果构成的矩阵即为判断矩阵。According to the analysis criteria in Table 1 above, the matrix formed by the comparison between the respective safety production indicators at the specified level and other safety production indicators is the judgment matrix.
在本发明实施例中,如果对大量安全生产指标中的每个安全生产指标分别与其他安全生产指标进行比较,由于安全生产指标数量很多,比较的过程持续到比较过程的后期时,繁冗的比较将会对人的正确判断造成较大的影响,从而影响评分结果的科学性和一致性。In the embodiment of the present invention, if each safety production index in a large number of safety production indicators is compared with other safety production indicators, since the number of safety production indicators is large, the comparison process continues until the later stage of the comparison process, and a tedious comparison is made. It will have a greater impact on the correct judgment of the person, thus affecting the scientific and consistency of the score results.
在本发明实施例中,为了简化对安全生产指标的重要性分析方法,提高评分结果的科学性和一致性,对指标权重判断矩阵的构建方法做出改进。In the embodiment of the present invention, in order to simplify the analysis method of the importance of the safety production index, improve the scientificity and consistency of the score result, the construction method of the index weight judgment matrix is improved.
具体地,在步骤S121中,根据预设的指标重要程度评分标准直接对指定层级的各个安全生产指标进行重要性评分。Specifically, in step S121, importance is directly scored for each safety production indicator of the specified level according to a preset index importance level scoring standard.
为了便于理解,下表2示例性的示出了根据本发明实施例的层次分析法的评分标准中对各安全生产指标的重要程度定义和对应的评分。表2中的示例不应理解为对层次分析法评分标准的具体限定。For ease of understanding, Table 2 below exemplarily shows the importance degree definition and corresponding score for each safety production index in the scoring standard of the analytic hierarchy process according to an embodiment of the present invention. The examples in Table 2 should not be construed as specific definitions of the AHP scoring criteria.
表2层次分析法评分标准Table 2 Analytic Hierarchy
重要程度定义Definition of importance 评分score
不重要unimportant 11
稍微重要Slightly important 33
相当重要Quite important 55
明显重要Obviously important 77
绝对重要Absolutely important 99
相邻两程度之间Between two adjacent levels 2、4、6、82, 4, 6, 8
根据上述表2中的示例,根据预设的指标重要程度评分标准对指定层级中各安全生产指标的重要程度分别进行打分,并根据各安全生产指标的重要性评分,构建该层级的指标权重判断矩阵。According to the example in Table 2 above, the importance degree of each safety production index in the specified level is scored according to the preset index importance degree scoring standard, and the index weight of the level is determined according to the importance score of each safety production index. matrix.
作为一个可选实施例,步骤S122中具体可以包括:利用重要性评分, 分别计算最低层级和中间层级的安全生产指标的重要性评分的平均分;以及基于计算得到的重要性评分的平均分,分别构建最低层级和中间层级的指标权重判断矩阵,其中,指标权重判断矩阵中矩阵元素的取值为矩阵元素所在列对应的安全生产指标的重要性评分的平均分与该矩阵元素所在行对应的安全生产指标的重要性评分的平均分的平均分比值。As an optional embodiment, the step S122 may specifically include: calculating an average score of the importance scores of the safety production indicators of the lowest level and the intermediate level by using the importance score; and calculating an average score of the importance scores according to the calculation, The index weight judgment matrix of the lowest level and the middle level is respectively constructed, wherein the value of the matrix element in the index weight judgment matrix is the average score of the importance score of the safety production indicator corresponding to the column of the matrix element and the row corresponding to the row of the matrix element The average score of the average score of the importance score of the safety production indicator.
为了便于理解,下面通过一个具体的示例来描述指标权重判断矩阵的构建过程。在该示例中,事故后果作为一个层级指标,还包括以下指标例如:D1,生产安全事故死亡人数;D2,火灾事故死亡人数;D3,道路交通死亡人数。For ease of understanding, the construction process of the index weight judgment matrix is described below by a specific example. In this example, the consequences of the accident as a tiered indicator include the following indicators such as: D1, the number of deaths from production safety accidents; D2, the number of deaths from fire accidents; D3, the number of road traffic deaths.
首先,特定用户例如专家或其他指定的评定人员,根据专业知识,按照表2所示的层次分析法评分标准分别对指标D1、D2和D3的重要程度进行打分。作为一个示例,下表3示意性的示出了三个特定用户分别对该层级指标的重要程度进行评分的结果。First, a specific user, such as an expert or other designated assessor, scores the importance of the indicators D1, D2, and D3 according to the analytic hierarchy scoring criteria shown in Table 2 according to professional knowledge. As an example, Table 3 below schematically shows the results of three specific users scoring the importance of the level indicators.
表3层级指标重要性评分Table 3 level indicator importance score
特定用户Specific user 指标编号Indicator number 重要性评分Importance rating
特定用户1Specific user 1 D1D1 77
特定用户1Specific user 1 D2D2 77
特定用户1Specific user 1 D3D3 00
特定用户2Specific user 2 D1D1 55
特定用户2Specific user 2 D2D2 55
特定用户2Specific user 2 D3D3 55
特定用户3Specific user 3 D1D1 00
特定用户3Specific user 3 D2D2 99
特定用户3Specific user 3 D3D3 99
如表3所示,指标D1的重要性评分的分值分别为7、5、0;指标D2的重要性评分的分值分别为7、5、9;以及指标D3的重要性评分的分值分别为0、5、9。As shown in Table 3, the scores of the importance scores of the indicators D1 are 7, 5, and 0; the scores of the importance scores of the indicators D2 are 7, 5, and 9, respectively; and the scores of the importance scores of the indicators D3. They are 0, 5, and 9, respectively.
其次,通过各个指标的重要性评分之和与参与评分的特定用户数量的比值,计算得到每个指标的重要性评分的平均分。Secondly, the average score of the importance scores of each indicator is calculated by the ratio of the sum of the importance scores of the various indicators to the number of specific users participating in the score.
具体地,指标D1的重要性评分的平均分为4;指标D2的重要性评分的平均分为7;指标D3的重要性评分的平均分为4.667。Specifically, the average score of the importance score of the index D1 is 4; the average score of the importance score of the index D2 is 7; and the average score of the importance score of the index D3 is 4.667.
接下来,基于计算得到的各个指标的重要性评分的平均分,分别构建最低层级和中间层级的指标权重判断矩阵。Next, based on the calculated average scores of the importance scores of the respective indicators, the index weight judgment matrices of the lowest level and the intermediate level are respectively constructed.
下表4示意性的示出了根据各指标重要性评分的平均分,利用指标间两两比较的比值构建的指标权重判断矩阵。Table 4 below schematically shows the index weight judgment matrix constructed based on the average score of each indicator importance score, using the ratio of the pairwise comparison between the indicators.
表4指标权重判断矩阵的位置点取值Table 4: Location point value of the indicator weight judgment matrix
  D1D1 D2D2 D3D3
D1D1 11 1.751.75 1.166751.16675
D2D2 0.571430.57143 11 0.666710.66671
D3D3 0.857080.85708 1.499891.49989 11
在上述表4中,对指标D1、D2、D3的重要性评分的平均值进行两两比较的组合可以形成3×3个位置点:In Table 4 above, a combination of pairwise comparisons of the average values of the importance scores of the indicators D1, D2, and D3 can form 3 × 3 position points:
(D1,D1)、(D1,D2)、(D1,D3)、(D1, D1), (D1, D2), (D1, D3),
(D2,D1)、(D2,D2)、(D2,D3)、(D2, D1), (D2, D2), (D2, D3),
(D3,D1)、(D3,D2)、(D3,D3)。(D3, D1), (D3, D2), (D3, D3).
指标权重判断矩阵中每个位置点上的取值,为该位置点后一个指标的重要性评分的平均分与前一个指标的重要性评分的平均分的比值。The value of each position point in the index weight judgment matrix is the ratio of the average score of the importance score of one indicator after the position point to the average score of the importance score of the previous indicator.
也就是说,指标权重判断矩阵中矩阵元素的取值为矩阵元素所在列对应的指标的重要性评分的平均分与该矩阵元素所在行对应的指标的重要性评分的平均分的比值。That is to say, the value of the matrix element in the index weight judgment matrix is the ratio of the average score of the importance score of the index corresponding to the column of the matrix element to the average score of the importance score of the index corresponding to the row of the matrix element.
指标权重判断矩阵是各个指标之间的关联度的体现,这个关联度由所有特定用户对所有指标的评分决定。The indicator weight judgment matrix is the embodiment of the degree of association between the indicators, and the degree of relevance is determined by the rating of all indicators by all specific users.
在本发明实施例中,通过构建的指定层级的指标权重判断矩阵,可以对该层级的各个安全生产指标的权重值进行计算。In the embodiment of the present invention, the weight value of each safety production indicator of the level can be calculated by constructing the index weight judgment matrix of the specified level.
下面继续参考上述表4中的指标权重判断矩阵,详细介绍如何计算得到该权重判断矩阵中各个指标的权重值。The following continues to refer to the indicator weight judgment matrix in Table 4 above, and details how to calculate the weight value of each indicator in the weight judgment matrix.
下表5示意性示出了根据表4中的指标权重判断矩阵对该矩阵的每一行求和,以及对所有值求和的求和结果。Table 5 below schematically shows the summation of each row of the matrix according to the index weight judgment matrix in Table 4, and the summation result of summing all the values.
表5指标权重判断矩阵各行求和以及所有值求和Table 5: Index weighting judgment matrix summation of rows and summation of all values
Figure PCTCN2018080840-appb-000003
Figure PCTCN2018080840-appb-000003
如表5所示,首先,对该指标权重判断矩阵各位置点的取值进行每一行的求和,第一行各位置点的求和结果是4.4175,第二行各位置点的求和结果是2.23814,第三行各位置点的求和结果是3.35697。As shown in Table 5, first, the value of each position point of the index weight judgment matrix is summed for each line, and the summation result of each position point of the first line is 4.4175, and the sum result of each position point of the second line is obtained. It is 2.23814, and the summation result of each position point in the third line is 3.35697.
其次,将每一个行各位置点的求和结果进一步进行求和,得到该指标权重判断矩阵中所有位置点的取值的和,即10.01261。Secondly, the summation results of each row position point are further summed to obtain the sum of the values of all the position points in the index weight judgment matrix, that is, 10.01261.
然后,将指标D1的权重值表示为ω 1,指标D2的权重值表示为ω 2,指标D3的权重值表示为ω 3。则ω 1的取值为第一行各位置点的求和结果与所有位置点的求和结果的比值,即
Figure PCTCN2018080840-appb-000004
同理计算得到
Figure PCTCN2018080840-appb-000005
Then, the weight value of the index D1 is represented as ω 1 , the weight value of the index D2 is represented as ω 2 , and the weight value of the index D3 is represented as ω 3 . Then the value of ω 1 is the ratio of the summation result of each position point of the first line to the summation result of all the position points, that is,
Figure PCTCN2018080840-appb-000004
The same calculation
Figure PCTCN2018080840-appb-000005
在一些实施例中,对于计算得到的权重值,可以进一步进行四舍五入的运算,将权重值精确到小数点的后两位。即该指标权重判断矩阵中D1、D2、D3指标对应的权重值分别为ω 1=0.44,ω 2=0.22,ω 3=0.34。 In some embodiments, for the calculated weight value, a rounding operation may be further performed to quantize the weight value to the last two digits of the decimal point. That is, the weight values corresponding to the D1, D2, and D3 indicators in the index weight judgment matrix are ω 1 = 0.44, ω 2 = 0.22, and ω 3 = 0.34, respectively.
在实际应用中,通过指标权重判断矩阵对各个指标的权重值进行计算方法有很多,在此不一一例举。In practical applications, there are many methods for calculating the weight values of the indicators by the index weight judgment matrix, which is not mentioned here.
应理解,本发明实施例中的根据构建的指标权重判断矩阵计算指标的权重值的方法,不应理解为对本发明实施例中权重值计算方法的限制。也就是说,在本发明实施例中,根据构建的指标权重判断矩阵计算各安全生产指标的权重值的方法可以根据实际的计算需求进行选择。It should be understood that the method for calculating the weight value of the index according to the constructed index weight judgment matrix in the embodiment of the present invention should not be construed as limiting the weight value calculation method in the embodiment of the present invention. That is to say, in the embodiment of the present invention, the method for calculating the weight value of each safety production index according to the constructed index weight judgment matrix can be selected according to the actual calculation requirement.
在一些实施例中,由于生产环境的安全性分析涉及的安全生产指标的数量较多,并且容易受到其他人为因素的影响,导致构建的指标权重判断矩阵可能会出现一致性的问题,为了提高指标权重判断矩阵中数据的准确 度,作为可选实施例,步骤S123可以进一步包括以下步骤:分别对最低层级和中间层级的指标权重判断矩阵进行一致性检验,以确定最低层级和中间层级的指标权重判断矩阵是否具有一致性;以及如果最低层级和中间层级的指标权重判断矩阵具有一致性,则计算最低层级和中间层级的各个指标的权重值。In some embodiments, since the safety analysis of the production environment involves a large number of safety production indicators and is susceptible to other human factors, the constructed indicator weight judgment matrix may have a consistency problem, in order to improve the indicator. The accuracy of the data in the weight judgment matrix, as an optional embodiment, the step S123 may further include the following steps: performing consistency check on the index weight judgment matrix of the lowest level and the intermediate level respectively to determine the index weights of the lowest level and the middle level It is judged whether the matrix has consistency; and if the index weight judgment matrix of the lowest level and the intermediate level has consistency, the weight values of the respective indicators of the lowest level and the intermediate level are calculated.
在本发明的实施例中,通过对指标权重判断矩阵进行一致性检验,通过检验结果确定构造的指标权重判断矩阵是否可接受,以提高整体分析和分析的结果的正确性和有效性。In the embodiment of the present invention, the consistency check is performed on the index weight judgment matrix, and the test result weight judgment matrix is determined by the test result to improve the correctness and validity of the overall analysis and analysis result.
如果构造的指标权重判断矩阵能够不能通过一致性检验,则需要对该层级的各安全生产指标的重要性进行重新打分并构造指标权重判断矩阵。If the constructed index weight judgment matrix can pass the consistency test, the importance of each safety production indicator of the level needs to be re-scored and the index weight judgment matrix is constructed.
作为可选的实施例,在步骤S130中,在需要对多个分析对象进行评估分析时,针对每个分析对象分别获取预定期间的不同时间段的最低层级的安全生产指标的历史数据,例如获取A对象、B对象、C对象在过去5年中每月的最低层级的安全生产指标的历史数据。由于安全生产指标包含对生产环境的安全性有正面影响的正向安全生产指标和对生产环境的安全性有负面影响的负向安全生产指标,因此,最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据。As an optional embodiment, in step S130, when it is necessary to perform evaluation analysis on a plurality of analysis objects, historical data of the lowest level safety production indicators of different time periods of the predetermined period are respectively acquired for each analysis object, for example, obtaining The historical data of the lowest level of safety production indicators of the A object, the B object, and the C object in the past five years. Since safety production indicators include positive safety production indicators that have a positive impact on the safety of the production environment and negative safety production indicators that have a negative impact on the safety of the production environment, historical data for the lowest level of safety production indicators includes positive Historical data on safety production indicators and historical data on negative safety production indicators.
在生产环境的安全性分析中,有时不仅要对多个分析对象在同一时间段的安全生产指数进行对比,还要对多个分析对象在不同时间段的安全生产指数进行对比。以往的技术由于分析过程中标准不一致,因此很难实现对在不同时间段的安全生产指数进行对比,即使进行对比也很不准确。In the safety analysis of the production environment, it is sometimes necessary to compare not only the safety production indexes of multiple analysis objects at the same time period, but also the safety production indexes of multiple analysis objects at different time periods. In the past, due to the inconsistent standards in the analysis process, it is difficult to compare the safety production indexes in different time periods, even if the comparison is very inaccurate.
因此,在步骤S140中,对所获取的相同安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述相同安全生产指标的全部历史数据进行标准化处理。Therefore, in step S140, each history data of the acquired same safety production index is subjected to standardization processing based on all history data of the same safety production index for a predetermined period of the plurality of analysis objects.
具体地,在步骤S140中包括步骤S141,针对所获取的所述同一安全生产指标的每个历史数据基于所述同一安全生产指标的全部历史数据进行归一化处理。Specifically, in step S140, step S141 is included, and each historical data of the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator.
可选地,可以采用式(2)所示的归一化方法,式(1)表示变异系数的计算方法,其中,x表示安全生产指标的历史数据,max(x)表示所述 多个分析对象的预定期间的同一安全生产指标的历史数据的最大值,c.v.表示变异系数,σ表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的标准差,μ表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的平均值,z表示进行了归一化处理后的安全生产指标的历史数据,其中,Alternatively, a normalization method represented by the formula (2) may be employed, and the formula (1) represents a calculation method of the coefficient of variation, wherein x represents historical data of the safety production index, and max(x) represents the plurality of analyses. The maximum value of the historical data of the same safety production index for the predetermined period of the object, cv represents the coefficient of variation, σ represents the standard deviation of the historical data of the same safety production index for the predetermined period of the plurality of analysis objects, and μ represents the plurality of The average value of the historical data of the same safety production index for the predetermined period of the analysis object, and z represents the historical data of the safety production index after the normalization process, wherein
Figure PCTCN2018080840-appb-000006
Figure PCTCN2018080840-appb-000006
Figure PCTCN2018080840-appb-000007
Figure PCTCN2018080840-appb-000007
对于正向安全生产指数的历史数据标准化处理可以仅进行归一化处理,而对于负向安全生产指数的历史数据的标准化处理不仅包含归一化处理,还要进行正向化处理。即,在步骤S140中还包括步骤S142,针对负向安全生产指标的历史数据在进行所述归一化处理后进行式(3)所示的正向化处理,z’表示进行了正向化处理后的所述负向安全生产指标的历史数据。The historical data normalization process for the forward safety production index can be normalized only, and the normalization process for the historical data of the negative safety production index includes not only the normalization process but also the forward processing. That is, step S140 is further included in step S140, and the normalization processing shown in the equation (3) is performed after the normalization processing is performed on the history data of the negative safety production index, and z' indicates that the forwardization is performed. Historical data of the negative safety production indicators after processing.
Figure PCTCN2018080840-appb-000008
Figure PCTCN2018080840-appb-000008
通过采用上述的标准化处理,消除了采集到的历史数据由于量纲不同、数据大小不同等数据差异对数据分析的影响,提高数据精度,对采集到的历史数据实现标准化。另外,通过采用上述标准化方法,使用相同的标准对相同安全生产指标的历史数据进行归一化。另外,通过采用上述标准化方法,考虑到该安全生产指标的所有分析对象的全部历史数据,并将安全生产指数的数据统一到(0,1)范围内。另外,通过采用上述标准化方法,还考虑相同安全生产指标构成的一组数据、即多个分析对象的相同安全生产指标的历史数据所组成的一组数据的离散程度,避免出现相同增幅或者减幅导致归一化结果相同这样的矛盾情况。By adopting the above-mentioned standardization processing, the influence of the data difference of the collected historical data due to different dimensions and different data sizes on the data analysis is eliminated, the data precision is improved, and the collected historical data is standardized. In addition, the historical data of the same safety production index is normalized by using the same standard method as described above. In addition, by adopting the above-described standardization method, all the historical data of all the analysis targets of the safety production index are considered, and the data of the safety production index is unified into the range of (0, 1). In addition, by adopting the above-mentioned standardization method, it is also considered to consider the degree of dispersion of a group of data composed of the same safety production index, that is, the historical data of the same safety production index of a plurality of analysis objects, to avoid the same increase or decrease. A contradiction that leads to the same normalization result.
接着,在步骤S150,根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。Next, in step S150, according to the historical data of the lowest level safety production index after the normalization processing, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index The highest level of safety production index.
为了便于理解,以安全生产指标为三级的安全生产指标为例,可以通过下面的公式(4)进行最高层级的指标数据的计算。For the sake of easy understanding, taking the safety production index of the third level as an example, the calculation of the highest level of indicator data can be performed by the following formula (4).
Figure PCTCN2018080840-appb-000009
Figure PCTCN2018080840-appb-000009
在上述公式(4)中,SPI表示安全生产指数,即最高层级指标,Inc表示安全生产事故指数、IR表示固有风险指数、SafetySup表示安全监管指数,Inc、IR和SafetySup表示中间层级,即二级指标。In the above formula (4), SPI represents the safety production index, that is, the highest level index, Inc. represents the safety production accident index, IR represents the inherent risk index, SafetySup represents the safety supervision index, and Inc, IR and SafetySup represent the intermediate level, ie, the second level. index.
并且,其中,α j是二级指标即安全生产事故指数的权重,β j是二级指标即固有风险指数的权重,γ j是二级指标安全监管指数的权重;m是对应二级指标的个数;ω i是对应的二级标下每个三级指标的权重;n是对应的二级指标下的三级指标的个数,nor[]对计算得到的最高层级的指标数据进一步进行标准化处理的过程。 And, where α j is the weight of the secondary indicator, that is, the safety production accident index, β j is the weight of the secondary indicator, the inherent risk index, γ j is the weight of the secondary indicator safety supervision index; m is the corresponding secondary indicator The number of ω i is the weight of each third-level indicator corresponding to the secondary level; n is the number of the third-level indicators under the corresponding secondary indicator, and nor[] further performs the calculated index data of the highest level. The process of standardization processing.
也就是说,在本发明实施例中,可以通过对计算得到的最高层级的指标数据进一步进行标准化处理,以提高数据的精度。That is to say, in the embodiment of the present invention, the index data of the highest level calculated can be further standardized to improve the accuracy of the data.
在最高层级的安全生产指数的标准化处理中,采用离差标准化(Min-Max normalization),也可以称为Min-Max标准化,是标准化处理的其中一个方法,通过线性变换的方法对安全生产指数进行标准化处理,使得标准化处理后的安全生产指数的值可以落在(0,1)区间。In the standardization process of the highest level of safety production index, Min-Max normalization, also known as Min-Max standardization, is one of the methods of standardization processing. The safety production index is performed by linear transformation method. The standardization process makes the value of the standardized production safety index fall within the (0, 1) range.
为了减少对最高层级的安全生产指数进行标准化处理后出现数值为0或1这样的情况,本发明实施例提供了以下的离差标准化方法。In order to reduce the case where the value of the highest level of the safety production index is normalized and the value is 0 or 1, the following embodiments of the present invention provide the following method for standardization of the deviation.
具体地,本发明实施例利用下述公式(5)和公式(6)对最高层级的安全生产指数进行标准化处理:Specifically, the embodiment of the present invention normalizes the highest level of safety production index by using the following formula (5) and formula (6):
Figure PCTCN2018080840-appb-000010
Figure PCTCN2018080840-appb-000010
其中,among them,
Figure PCTCN2018080840-appb-000011
Figure PCTCN2018080840-appb-000011
其中,t为进行了标准化处理后的最高层级的安全生产指数,w为行 了标准化处理前的最高层级的安全生产指数,w min和w max分别为所获取的多个分析对象的预定期间的全部最高层级的安全生产指数的最小值和最大值,k 1和k 2为常数。 Where t is the highest level of safety production index after standardization, w is the highest level of safety production index before standardization, and w min and w max are respectively the predetermined periods of the acquired multiple analysis objects. The minimum and maximum values of the safety production index of all the highest levels, k 1 and k 2 are constant.
通过上述公式(5)和公式(6),对最高层级的安全生产指数进行标准化处理,以能准确地进行分析。Through the above formula (5) and formula (6), the safety production index of the highest level is standardized to enable accurate analysis.
作为一个具体的示例,k 1可以取值为0.1,k 2可以取值为1.1。 As a specific example, k 1 may have a value of 0.1 and k 2 may have a value of 1.1.
通过采用上述的离差标准化方法对所有最高层级的安全生产指数进行标准化处理,可以减少标准化处理后的安全生产指数的值出现“0”和“1”的数量,从而使最终的评估和分析结果能够得到更加全面和准确。By standardizing all the highest-level safety production indexes by using the above-described dispersion standardization method, the number of “0” and “1” values of the safety production index after standardization can be reduced, so that the final evaluation and analysis results are obtained. Can be more comprehensive and accurate.
在该实施例中,如果安全生产的指标体系为三层以上,即安全生产指标包括不止一个中间层级,则可以根据计算得到的当前层的指数值和向上一层的各安全生产指标的权重,对该向上一层各安全生产指标的指数计算,如此层层向上进行推导计算,最终得到最高层级指标的安全生产指数。In this embodiment, if the indicator system for safety production is more than three layers, that is, the safety production index includes more than one intermediate level, the index value of the current layer and the weight of each safety production index of the upper layer may be calculated according to the calculation. The index calculation of the safety production indicators of the upper layer is calculated upwards in such a layer, and finally the safety production index of the highest level index is obtained.
综上所述,在本发明实施例中,提供了一种生产环境安全性分析方法,获取指标体系的指标,利用层次分析法对生产环境的层级指标构造判断矩阵,计算各个安全生产指标的权重值,并对采集到的历史数据进行标准化处理,层层递进向上地推算出最高层级的安全生产指数,以对生产环境的安全性进行分析。通过上述的生产环境安全性的分析方法,既能对同一时间段不同分析对象的分析结果进行对比,又能对不同时间段同一分析对象的分析结果进行对比,从而能够对生产环境的安全性进行全面可靠地分析In summary, in the embodiment of the present invention, a production environment security analysis method is provided, an index system index is obtained, and a hierarchical analysis method is used to construct a judgment matrix of a hierarchical index of a production environment, and a weight of each safety production index is calculated. Value, and standardize the collected historical data, and progressively calculate the highest level of safety production index to analyze the safety of the production environment. Through the above-mentioned analysis method of production environment safety, it is possible to compare the analysis results of different analysis objects in the same time period, and compare the analysis results of the same analysis object in different time periods, thereby enabling the safety of the production environment. Comprehensive and reliable analysis
下面结合图4至图5详细描述本发明实施例的生产环境安全性的分析装置。The analysis apparatus for the production environment safety of the embodiment of the present invention will be described in detail below with reference to FIGS. 4 to 5.
图4示出了根据本发明一个实施例的生产环境安全性的分析装置的结构示意图。如图4所示,本发明实施例的生产环境安全性的分析装置200包括:4 is a block diagram showing the structure of an analysis device for production environment safety according to an embodiment of the present invention. As shown in FIG. 4, the apparatus for analyzing environmental safety of an embodiment of the present invention includes:
指标获取模块210,用于获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;The indicator obtaining module 210 is configured to acquire multiple levels of the indicator system that affect the security of the production environment and safety production indicators of each level, where the plurality of levels includes at least a lowest level, at least one intermediate level, and a highest level;
权重计算模块220,用于利用层次分析法分别计算所述最低层级的安 全生产指标的权重值和所述中间层级的安全生产指标的权重值;The weight calculation module 220 is configured to separately calculate a weight value of the lowest level safety production indicator and a weight value of the intermediate level safety production indicator by using an analytic hierarchy process;
数据获取模块230,用于获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据;The data obtaining module 230 is configured to acquire historical data of a lowest level of safety production indicators of a predetermined period of the plurality of analysis objects, wherein the historical data of the lowest level safety production indicators includes historical data of positive safety production indicators and negative safety Historical data on production indicators;
标准化处理模块240,用于针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及a normalization processing module 240, configured to perform normalization processing on each historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects for each historical data of the acquired same safety production indicator;
安全生产指数计算模块250,用于根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。a safety production index calculation module 250, configured to calculate historical data of the lowest level safety production index, weight value of the lowest level safety production index, and weight of the intermediate level safety production index according to the standardized processing The value calculates the highest level of safety production index.
根据本发明实施例提供的生产环境安全性分析装置,获取安全生产环境的层级指标,计算得到每个层级的各个安全生产指标的权重,并对采集到的安全指标的历史数据进行标准化处理,计算得到最高层级的安全生产指数,以对生产环境的安全性进行分析。According to the production environment safety analysis device provided by the embodiment of the present invention, the hierarchical index of the safe production environment is obtained, the weights of each safety production index of each level are calculated, and the historical data of the collected safety indicators are standardized and calculated. Get the highest level of safety production index to analyze the safety of the production environment.
在一些实施例中,权重计算模块还可以包括:重要性评分获取单元,用于分别获取最低层级和中间层级的安全生产指标的重要性评分;判断矩阵构造单元,用于基于最低层级和中间层级的安全生产指标的重要性评分,分别构建最低层级和中间层级的指标权重判断矩阵;以及权重值计算单元,用于分别计算最低层级和中间层级的指标权重判断矩阵中安全生产指标的权重值。In some embodiments, the weight calculation module may further include: an importance score acquisition unit, configured to respectively acquire importance scores of the lowest level and intermediate level safety production indicators; and a judgment matrix construction unit, configured to be based on the lowest level and the intermediate level The importance scores of the safety production indicators are respectively constructed to determine the index weight judgment matrix of the lowest level and the middle level; and the weight value calculation unit is used to calculate the weight values of the safety production indicators in the index weight judgment matrix of the lowest level and the middle level respectively.
作为可选的实施例,判断矩阵构造单元具体用于:利用重要性评分,分别计算最低层级和中间层级的安全生产指标的重要性评分的平均分;基于计算得到的重要性评分的平均分,分别构建最低层级和中间层级的指标权重判断矩阵,其中,指标权重判断矩阵中矩阵元素的取值为矩阵元素所在列对应的指标的重要性评分的平均分与该矩阵元素所在行对应的指标的重要性评分的平均分的比值。As an optional embodiment, the judgment matrix construction unit is specifically configured to: calculate an average score of the importance scores of the safety production indicators of the lowest level and the intermediate level by using the importance score; and calculate an average score of the importance scores, The index weight judgment matrix of the lowest level and the middle level is respectively constructed, wherein the value of the matrix element in the index weight judgment matrix is the average score of the importance score of the indicator corresponding to the column of the matrix element and the index corresponding to the row of the matrix element The ratio of the average scores of the importance scores.
在一些实施例中,权重计算模块还可以包括一致性检验单元,分别对最低层级和中间层级的指标权重判断矩阵进行一致性检验,以确定最低层 级和中间层级的指标权重判断矩阵是否具有一致性。In some embodiments, the weight calculation module may further include a consistency check unit that performs consistency check on the index weight judgment matrix of the lowest level and the intermediate level respectively to determine whether the index weight judgment matrix of the lowest level and the intermediate level is consistent. .
权重值计算单元在最低层级和中间层级的指标权重判断矩阵具有一致性的情况下,计算最低层级和中间层级的各个指标的权重值。The weight value calculation unit calculates the weight values of the respective indicators of the lowest level and the intermediate level in the case where the index weight judgment matrix of the lowest level and the intermediate level has consistency.
通过一致性检验,以确定最低层级和中间层级的指标权重判断矩阵是否具有一致性,通过对指标权重判断矩阵是否可接受进行一致性检验,以提高整体分析和分析的结果的正确性和有效性。Through the consistency test, it is determined whether the index weight judgment matrix of the lowest level and the middle level is consistent, and the consistency check of the index weight judgment matrix is accepted to improve the correctness and validity of the overall analysis and analysis results. .
图5示出了标准化处理模块的具体的结构示意图。图5的标准化处理模块240包括归一化处理单元241以及正向化处理单元242。归一化处理单元241针对所获取的所述同一安全生产指标的每个历史数据基于所述同一安全生产指标的全部历史数据进行归一化处理。正向化处理单元242针对负向安全生产指标的历史数据在进行所述归一化处理后进行正向化处理。归一化处理单元241与正向化处理单元242采用与上述生产安全性的分析方法中所描述的方法相同。FIG. 5 shows a detailed structural diagram of a standardized processing module. The normalization processing module 240 of FIG. 5 includes a normalization processing unit 241 and a forward processing unit 242. The normalization processing unit 241 normalizes each historical data of the same safety production indicator acquired for each historical data of the same safety production indicator. The forward processing unit 242 performs forward processing on the historical data of the negative safety production index after performing the normalization processing. The normalization processing unit 241 and the forward processing unit 242 are the same as those described in the above-described analysis method of production safety.
根据本发明实施例的生产环境安全性的分析装置的其他细节与以上描述的根据本发明实施例的方法类似,在此不再赘述。Other details of the analysis device for the production environment security according to the embodiment of the present invention are similar to the method according to the embodiment of the present invention described above, and are not described herein again.
结合图1至图5描述的根据本发明实施例的生产环境安全性分析的方法和装置可以由本发明实施例的生产环境安全性分析系统来实现。图6是示出能够实现根据本发明实施例的对生产环境进行安全性分析的方法和装置的生产环境安全性分析系统的示例性硬件架构的结构图。如图6所示,生产环境安全性分析系统600包括输入设备601、输入接口602、中央处理器603、存储器604、输出接口605、以及输出设备606。其中,输入接口602、中央处理器603、存储器604、以及输出接口605通过总线610相互连接,输入设备601和输出设备606分别通过输入接口602和输出接口605与总线610连接,进而与生产环境安全性分析系统600的其他组件连接。具体地,输入设备601接收来自外部的输入信息,并通过输入接口602将输入信息传送到中央处理器603;中央处理器603基于存储器604中存储的计算机可执行指令对输入信息进行处理以生成输出信息,将输出信息临时或者永久地存储在存储器604中,然后通过输出接口605将输出信息传送到输出设备606(例如,显示器等);输出设备606将输出信息输 出到生产环境安全性分析系统600的外部供用户使用。The method and apparatus for production environment safety analysis according to an embodiment of the present invention described in conjunction with FIGS. 1 through 5 can be implemented by the production environment safety analysis system of the embodiment of the present invention. 6 is a block diagram showing an exemplary hardware architecture of a production environment security analysis system capable of implementing a method and apparatus for performing security analysis of a production environment in accordance with an embodiment of the present invention. As shown in FIG. 6, production environment security analysis system 600 includes input device 601, input interface 602, central processor 603, memory 604, output interface 605, and output device 606. The input interface 602, the central processing unit 603, the memory 604, and the output interface 605 are connected to each other through a bus 610. The input device 601 and the output device 606 are respectively connected to the bus 610 through the input interface 602 and the output interface 605, thereby being safe with the production environment. Other components of the sexual analysis system 600 are connected. Specifically, input device 601 receives input information from the outside and transmits the input information to central processor 603 via input interface 602; central processor 603 processes the input information based on computer executable instructions stored in memory 604 to generate an output. Information, the output information is temporarily or permanently stored in memory 604, and then output information is communicated to output device 606 (eg, display, etc.) via output interface 605; output device 606 outputs the output information to production environment security analysis system 600 The outside is for the user to use.
也就是说,图6所示的生产环境安全性分析系统可以被实现为包括:存储有计算机可执行指令的存储器;以及处理器,该处理器在执行计算机可执行指令时可以实现结合图1至图5描述的对生产环境安全性分析的方法和装置。这里,处理器可以与获取各个安全生产指标的外部设备进行通信,从而基于来自外部设备的相关信息执行计算机可执行指令,从而实现结合图1至图5描述的生产环境安全性分析的方法和装置。That is, the production environment security analysis system shown in FIG. 6 can be implemented to include: a memory storing computer-executable instructions; and a processor that can implement the computer-executable instructions in conjunction with FIG. Figure 5 illustrates a method and apparatus for analyzing the safety of a production environment. Here, the processor may communicate with an external device that acquires each safety production indicator to execute computer-executable instructions based on relevant information from the external device, thereby implementing the method and apparatus for manufacturing environment safety analysis described in connection with FIGS. 1 through 5. .
在一个实施例中,图6所示的对生产环境安全性分析系统600可以被实现为包括:存储器,用于存储程序;处理器,用于运行存储器中存储的程序,以执行以下步骤:获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;利用层次分析法分别计算所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值;获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、计算得到的所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。In one embodiment, the production environment security analysis system 600 shown in FIG. 6 can be implemented to include: a memory for storing a program; and a processor for running a program stored in the memory to perform the following steps: obtaining a plurality of levels of an indicator system affecting the safety of the production environment and safety production indicators of each level, the plurality of levels including at least a lowest level, at least one intermediate level, and a highest level; respectively calculating the lowest level by using an analytic hierarchy process The weight value of the safety production index and the weight value of the safety production index of the intermediate level; the historical data of the lowest level safety production index of the predetermined period of the plurality of analysis objects, wherein the historical data of the lowest level safety production indicator includes Historical data of positive safety production indicators and historical data of negative safety production indicators, the positive safety production indicators indicate safety production indicators that have a positive impact on the safety of the production environment, and the negative safety production indicators indicate the production environment Safety production indicators that have a negative impact on safety; Each historical data of the same safety production index is standardized based on all historical data of the same safety production indicator of a predetermined period of the plurality of analysis objects; and the lowest level safety production index according to the standardized processing The historical data, the calculated weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index are used to calculate the highest level safety production index.
需要明确的是,本发明并不局限于上文所描述并在图中示出的特定配置和处理。为了简明起见,这里省略了对已知方法的详细描述。在上述实施例中,描述和示出了若干具体的步骤作为示例。但是,本发明的方法过程并不限于所描述和示出的具体步骤,本领域的技术人员可以在领会本发明的精神后,作出各种改变、修改和添加,或者改变步骤之间的顺序。It is to be understood that the invention is not limited to the specific configurations and processes described above and illustrated in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps have been described and illustrated as examples. However, the method of the present invention is not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after the spirit of the invention.
以上所述的结构框图中所示的功能块可以实现为硬件、软件、固件或者它们的组合。当以硬件方式实现时,其可以例如是电子电路、专用集成 电路(ASIC)、适当的固件、插件、功能卡等等。当以软件方式实现时,本发明的元素是被用于执行所需任务的程序或者代码段。程序或者代码段可以存储在机器可读介质中,或者通过载波中携带的数据信号在传输介质或者通信链路上传送。“机器可读介质”可以包括能够存储或传输信息的任何介质。机器可读介质的例子包括电子电路、半导体存储器设备、ROM、闪存、可擦除ROM(EROM)、软盘、CD-ROM、光盘、硬盘、光纤介质、射频(RF)链路,等等。代码段可以经由诸如因特网、内联网等的计算机网络被下载。The functional blocks shown in the block diagrams described above may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), suitable firmware, plug-ins, function cards, and the like. When implemented in software, the elements of the present invention are programs or code segments that are used to perform the required tasks. The program or code segments can be stored in a machine readable medium or transmitted over a transmission medium or communication link through a data signal carried in the carrier. A "machine-readable medium" can include any medium that can store or transfer information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. The code segments can be downloaded via a computer network such as the Internet, an intranet, and the like.
还需要说明的是,本发明中提及的示例性实施例,基于一系列的步骤或者装置描述一些方法或系统。但是,本发明不局限于上述步骤的顺序,也就是说,可以按照实施例中提及的顺序执行步骤,也可以不同于实施例中的顺序,或者若干步骤同时执行。It should also be noted that the exemplary embodiments referred to in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiment, or may be different from the order in the embodiment, or several steps may be simultaneously performed.
以上所述,仅为本发明的具体实施方式,所属领域的技术人员可以清楚地了解到,为了描述的方便和简洁,上述描述的系统、模块和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。应理解,本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到各种等效的修改或替换,这些修改或替换都应涵盖在本发明的保护范围之内。The above is only a specific embodiment of the present invention, and those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working processes of the system, module and unit described above can refer to the foregoing method embodiments. The corresponding process in the description will not be repeated here. It should be understood that the scope of the present invention is not limited thereto, and any equivalent modifications or substitutions may be easily conceived by those skilled in the art without departing from the scope of the present invention. It is within the scope of the invention.

Claims (10)

  1. 一种生产环境安全性的分析方法,其特征在于,所述分析方法包括:An analysis method for production environment safety, characterized in that the analysis method comprises:
    获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;Obtaining a plurality of levels of the indicator system affecting the safety of the production environment and safety production indicators of each level, the plurality of levels including at least a lowest level, at least one intermediate level, and a highest level;
    利用层次分析法分别计算所述最低层级和所述中间层级的安全生产指标的权重值;Calculating weight values of the safety production indicators of the lowest level and the intermediate level by using an analytic hierarchy process;
    获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;Obtaining historical data of a lowest level of safety production indicators for a predetermined period of a plurality of analysis objects, the historical data of the lowest level safety production indicators including historical data of positive safety production indicators and historical data of negative safety production indicators, The positive safety production indicator indicates a safety production indicator that has a positive impact on the safety of the production environment, and the negative safety production indicator indicates a safety production indicator that has a negative impact on the safety of the production environment;
    针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及Each historical data for the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects;
    根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。Calculating the highest level of safety production according to the historical data of the lowest level safety production index after the standardization process, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index index.
  2. 根据权利要求1所述的生产环境安全性的分析方法,其特征在于,The method for analyzing the safety of a production environment according to claim 1, wherein
    所述标准化处理包括:The standardization process includes:
    针对所获取的所述同一安全生产指标的每个历史数据基于所述同一安全生产指标的全部历史数据进行归一化处理;以及Each historical data for the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator;
    针对负向安全生产指标的历史数据在进行所述归一化处理后还进行正向化处理。The historical data for the negative safety production index is also forwarded after the normalization process.
  3. 根据权利要求2所述的生产环境安全性的分析方法,其特征在于,The method for analyzing the safety of a production environment according to claim 2, wherein
    基于下式进行所述安全生产指标的每个历史数据的归一化处理,其中x表示安全生产指标的历史数据,max(x)表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的最大值,c.v.表示变异系数,σ表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的标准差, μ表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的平均值,z表示进行了归一化处理后的安全生产指标的历史数据,Performing normalization processing of each historical data of the safety production index based on the following formula, wherein x represents historical data of the safety production index, and max(x) represents the same safety production index of the predetermined period of the plurality of analysis objects The maximum value of the historical data, cv represents the coefficient of variation, σ represents the standard deviation of the historical data of the same safety production index for the predetermined period of the plurality of analysis objects, and μ represents the same safety production index of the predetermined period of the plurality of analysis objects The average of the historical data, z represents the historical data of the safety production indicators after normalization.
    Figure PCTCN2018080840-appb-100001
    Figure PCTCN2018080840-appb-100001
    Figure PCTCN2018080840-appb-100002
    Figure PCTCN2018080840-appb-100002
  4. 根据权利要求3所述的生产环境安全性的分析方法,其特征在于,The method for analyzing the safety of a production environment according to claim 3, characterized in that
    基于下式对进行了归一化处理后的所述负向安全生产指标的历史数据进行正向化处理,z’表示进行了正向化处理后的所述负向安全生产指标的历史数据,The historical data of the negative safety production index after the normalization process is forwarded according to the following formula, and z' represents the historical data of the negative safety production index after the forward processing is performed,
    Figure PCTCN2018080840-appb-100003
    Figure PCTCN2018080840-appb-100003
  5. 根据权利要求1所述的生产环境安全性的分析方法,其特征在于,The method for analyzing the safety of a production environment according to claim 1, wherein
    对计算出的所述最高层级的安全生产指数进行归一化处理,t为进行归一化处理后的最高层级的安全生产指数,w为进行归一化处理前的最高层级的安全生产指数,w min和w max分别为所获取的多个分析对象的预定期间的全部最高层级的安全生产指数的最小值和最大值,k 1和k 2为常数, The calculated safety production index of the highest level is normalized, t is the highest level of safety production index after normalization, and w is the highest level safety production index before normalization. w min and w max are respectively the minimum and maximum values of the safety production index of all the highest levels of the predetermined period of the acquired plurality of analysis objects, and k 1 and k 2 are constants,
    Figure PCTCN2018080840-appb-100004
    Figure PCTCN2018080840-appb-100004
    其中,among them,
    Figure PCTCN2018080840-appb-100005
    Figure PCTCN2018080840-appb-100005
  6. 一种生产环境安全性的分析装置,其特征在于,所述分析装置包括:An analysis device for producing environmental safety, characterized in that the analysis device comprises:
    指标获取模块,用于获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;An indicator obtaining module, configured to acquire multiple levels of the indicator system affecting the security of the production environment and safety production indicators of each level, the plurality of levels including at least a lowest level, at least one intermediate level, and a highest level;
    权重计算模块,用于利用层次分析法分别计算所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值;a weight calculation module, configured to separately calculate, by using an analytic hierarchy process, a weight value of the lowest level safety production indicator and a weight value of the intermediate level safety production indicator;
    数据获取模块,用于获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向 安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;a data acquisition module, configured to acquire historical data of a lowest level of safety production indicators of a predetermined period of the plurality of analysis objects, the historical data of the lowest level safety production indicators including historical data of positive safety production indicators and negative safety production Historical data of the indicator, the positive safety production indicator indicates a safety production indicator that has a positive impact on the safety of the production environment, and the negative safety production indicator indicates a safety production indicator that has a negative impact on the safety of the production environment;
    标准化处理模块,用于针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及a normalization processing module, configured to perform normalization processing on each historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects for each historical data of the acquired same safety production indicator;
    安全生产指数计算模块,用于根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。a safety production index calculation module, configured, according to the historical data of the lowest level safety production index after the standardization processing, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index Calculate the highest level of safety production index.
  7. 根据权利要求6所述的生产环境安全性的分析装置,其特征在于,The apparatus for analyzing the safety of a production environment according to claim 6, wherein
    所述标准化处理模块包括:The standardized processing module includes:
    归一化处理单元,针对所获取的所述同一安全生产指标的每个历史数据基于所述同一安全生产指标的全部历史数据进行归一化处理;以及a normalization processing unit that normalizes each historical data for the acquired same safety production indicator based on all historical data of the same safety production indicator;
    正向化处理单元,针对负向安全生产指标的历史数据在进行所述归一化处理后还进行正向化处理。The forward processing unit performs forward processing on the historical data for the negative safety production index after performing the normalization process.
  8. 根据权利要求7所述的生产环境安全性的分析装置,其特征在于,The apparatus for analyzing the safety of a production environment according to claim 7, wherein
    所述归一化处理单元基于下式进行所述安全生产指标的每个历史数据的归一化处理,其中x表示安全生产指标的历史数据,max(x)表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的最大值,c.v.表示变异系数,σ表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的标准差,μ表示所述多个分析对象的预定期间的同一安全生产指标的历史数据的平均值,z表示进行了归一化处理后的安全生产指标数据,The normalization processing unit performs normalization processing of each historical data of the safety production index based on the following formula, wherein x represents historical data of the safety production index, and max(x) represents a predetermined schedule of the plurality of analysis objects The maximum value of the historical data of the same safety production index during the period, cv represents the coefficient of variation, σ represents the standard deviation of the historical data of the same safety production index for the predetermined period of the plurality of analysis objects, and μ represents the plurality of analysis objects The average of the historical data of the same safety production indicator during the scheduled period, and z indicates the safety production indicator data after the normalization process.
    Figure PCTCN2018080840-appb-100006
    Figure PCTCN2018080840-appb-100006
    Figure PCTCN2018080840-appb-100007
    Figure PCTCN2018080840-appb-100007
  9. 根据权利要求8所述的生产环境安全性的分析装置,其特征在于,The apparatus for analyzing the safety of a production environment according to claim 8, wherein
    所述正向化处理单元基于下式对所述负向安全生产指标的历史数据进行正向化处理,z’表示进行了正向化处理后的所述负向安全生产指标的 历史数据,The forward processing unit performs forward processing on the historical data of the negative safety production index based on the following formula, and z' represents historical data of the negative safety production index after the forward processing is performed,
    Figure PCTCN2018080840-appb-100008
    Figure PCTCN2018080840-appb-100008
  10. 一种生产环境安全性的分析系统,其特征在于,所述分析系统包括:An analysis system for production environment safety, characterized in that the analysis system comprises:
    存储器,用于存储程序;Memory for storing programs;
    处理器,用于运行所述存储器中存储的所述程序,以执行以下步骤:a processor for running the program stored in the memory to perform the following steps:
    获取影响生产环境安全性的指标体系的多个层级以及每个层级的安全生产指标,所述多个层级至少包括最低层级、至少一个中间层级和最高层级;Obtaining a plurality of levels of the indicator system affecting the safety of the production environment and safety production indicators of each level, the plurality of levels including at least a lowest level, at least one intermediate level, and a highest level;
    利用层次分析法分别计算所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值;Calculating a weight value of the lowest level safety production index and a weight value of the safety production index of the intermediate level by using an analytic hierarchy process;
    获取多个分析对象的预定期间的最低层级的安全生产指标的历史数据,所述最低层级的安全生产指标的历史数据包括正向安全生产指标的历史数据和负向安全生产指标的历史数据,所述正向安全生产指标表示对生产环境安全性有正面影响的安全生产指标,所述负向安全生产指标表示对生产环境安全性有负面影响的安全生产指标;Obtaining historical data of a lowest level of safety production indicators for a predetermined period of a plurality of analysis objects, the historical data of the lowest level safety production indicators including historical data of positive safety production indicators and historical data of negative safety production indicators, The positive safety production indicator indicates a safety production indicator that has a positive impact on the safety of the production environment, and the negative safety production indicator indicates a safety production indicator that has a negative impact on the safety of the production environment;
    针对所获取的同一安全生产指标的每个历史数据基于所述多个分析对象的预定期间的所述同一安全生产指标的全部历史数据进行标准化处理;以及Each historical data for the acquired same safety production indicator is normalized based on all historical data of the same safety production indicator for a predetermined period of the plurality of analysis objects;
    根据所述标准化处理后的所述最低层级的安全生产指标的历史数据、所述最低层级的安全生产指标的权重值和所述中间层级的安全生产指标的权重值计算所述最高层级的安全生产指数。Calculating the highest level of safety production according to the historical data of the lowest level safety production index after the standardization process, the weight value of the lowest level safety production index, and the weight value of the intermediate level safety production index index.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110674951A (en) * 2019-09-29 2020-01-10 国网上海市电力公司 State maintenance method of distribution automation terminal

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107256445B (en) * 2017-04-27 2018-05-01 清华大学 Analysis method, the device and system of production environment security
CN108038132A (en) * 2017-11-17 2018-05-15 上海数据交易中心有限公司 Data Quality Analysis method and device, storage medium, terminal
CN114861939B (en) * 2022-07-07 2022-10-18 浙江邦业科技股份有限公司 AHP model self-learning-based energy consumption analysis method and device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521709A (en) * 2011-12-22 2012-06-27 上海建科工程咨询有限公司 Building construction quality safety online risk management system
CN102542354A (en) * 2010-12-31 2012-07-04 中国科学院研究生院 Optimal decision method based on situation analysis and hierarchy analysis
US20130085788A1 (en) * 2010-05-10 2013-04-04 Nucor Corporation Centralized detection of radiation in multiple facilities
CN104537211A (en) * 2014-12-12 2015-04-22 中钢集团武汉安全环保研究院有限公司 Enterprise safety risk early warning method based on analytic hierarchy process and grey theory
CN107256445A (en) * 2017-04-27 2017-10-17 清华大学 Analysis method, the device and system of production environment security

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130085788A1 (en) * 2010-05-10 2013-04-04 Nucor Corporation Centralized detection of radiation in multiple facilities
CN102542354A (en) * 2010-12-31 2012-07-04 中国科学院研究生院 Optimal decision method based on situation analysis and hierarchy analysis
CN102521709A (en) * 2011-12-22 2012-06-27 上海建科工程咨询有限公司 Building construction quality safety online risk management system
CN104537211A (en) * 2014-12-12 2015-04-22 中钢集团武汉安全环保研究院有限公司 Enterprise safety risk early warning method based on analytic hierarchy process and grey theory
CN107256445A (en) * 2017-04-27 2017-10-17 清华大学 Analysis method, the device and system of production environment security

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110674951A (en) * 2019-09-29 2020-01-10 国网上海市电力公司 State maintenance method of distribution automation terminal
CN110674951B (en) * 2019-09-29 2023-12-01 国网上海市电力公司 State maintenance method for power distribution automation terminal

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