A project whole-process safety data monitoring method and system

Abstract

The application provides a project whole-process safety data monitoring method and system, which comprises the following steps: establishing a safety monitoring and evaluation system in a project feasibility study stage, a project acceptance stage and a project operation stage based on project whole-process planning data and input process data; determining a data collection and monitoring strategy in the project whole process based on the safety monitoring and evaluation system; obtaining monitoring data according to the data collection and monitoring strategy; performing safety evaluation on the monitoring data based on the safety monitoring and evaluation system to obtain a safety evaluation result; and setting a hierarchical early warning reminder in the project whole process based on the safety evaluation result, so as to realize the monitoring, analysis and early warning of data safety in the project whole process, realize the construction of a healthy enterprise, ensure the safety of employees and improve the production efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of enterprise safety construction, and particularly relates to a project whole-process safety data monitoring method and system. BACKGROUND

[0002] Project whole-process monitoring aims to ensure that the engineering project can proceed smoothly, reduce possible risks and problems, through monitoring, potential problems can be found and solved in time, through project whole-process safety data monitoring, comprehensive data statistics and analysis can be provided, construction safety can be ensured, and at the same time, it is ensured that the project process complies with laws, regulations and standards, legal risks and safety problems caused by illegal operation are avoided, further, project whole-process safety monitoring has important significance for enterprises to establish a healthy enterprise, provide perfect management system, good working environment, efficient management level, and ensure the healthy and coordinated development of enterprise production economy and employees.

[0003] At present, the safety monitoring of the whole process of the project is managed by slicing, there is no complete system to realize the monitoring and analysis of the data in the whole process of the project, which leads to imperfect health management of employees and affected labor productivity. SUMMARY

[0004] The present application provides a project whole-process safety data monitoring method and system to solve the problems in the background art.

[0005] A project whole-process safety data monitoring method, characterized in that, comprising:

[0006] S1: based on the planning data and the input process data of the whole process of the project, respectively establishing the safety monitoring evaluation system in the project feasibility study stage, the project acceptance stage and the project operation stage;

[0007] S2: based on the safety monitoring evaluation system, determining the data collection monitoring strategy in the whole process of the project, and obtaining monitoring data according to the data collection monitoring strategy;

[0008] S3: based on the safety monitoring evaluation system, performing safety evaluation on the monitoring data to obtain a safety evaluation result;

[0009] S4: based on the safety evaluation result, setting a hierarchical early warning reminder in the whole process of the project.

[0010] Preferably, in the S1, based on the planning data and the input process data of the whole process of the project, respectively establishing the safety monitoring evaluation system in the project feasibility study stage, the project acceptance stage and the project operation stage, comprising:

[0011] The planning data and input process data of the whole project are divided according to the project feasibility study stage, the project acceptance stage and the project operation stage, and the project data corresponding to each stage is obtained;

[0012] Based on the project data corresponding to each stage, the safety evaluation target and the safety evaluation standard of each stage are obtained, and a safety monitoring and evaluation system is established based on the safety evaluation target and the safety evaluation standard.

[0013] Preferably, the safety evaluation target and the safety evaluation standard of each stage are obtained based on the project data corresponding to each stage, and a safety monitoring and evaluation system is established based on the safety evaluation target and the safety evaluation standard.

[0014] Based on the data association between the data acquisition types corresponding to the safety evaluation indexes of each stage, the index distribution structure of the safety evaluation target of each stage is established, and the index weight of each safety evaluation target is set based on the correlation degree of each safety evaluation target and other safety evaluation targets in the index distribution structure.

[0015] The safety evaluation standard of each stage is analyzed, the index judgment formula corresponding to the evaluation standard that can be clearly evaluated is established, and the index judgment formula is weighted based on the corresponding relationship between the safety evaluation target and the safety evaluation standard, and the index weight of each safety evaluation target, to obtain a weighted index judgment formula.

[0016] The characteristics of the standard that cannot be clearly evaluated in the historical safety evaluation standard are obtained, the index weight of the safety evaluation target corresponding to the characteristics of the standard that cannot be clearly evaluated is combined, and a fuzzy control model between the evaluation index characteristics and the evaluation standard characteristics in the standard characteristics is established.

[0017] The characteristics of the standard that cannot be clearly evaluated in the safety evaluation standard are input into the fuzzy control model to obtain the index evaluation data of the safety evaluation target.

[0018] The evaluation results corresponding to the weighted index judgment formula and the index evaluation data are obtained, and a safety monitoring and evaluation system for each stage is established based on the relationship between the safety evaluation target, the weighted index judgment formula, the index evaluation data and the evaluation results.

[0019] Preferably, in S2, based on the safety monitoring and evaluation system, the data acquisition and monitoring strategy in the whole project is determined, including:

[0020] Based on the safety monitoring and evaluation system, the safety evaluation target is obtained, and the data characteristics that need to be collected to achieve the safety evaluation target are determined.

[0021] Based on the self-features of the data features and the association features between the data features, a data collection monitoring strategy for the whole period of each stage is established.

[0022] In this embodiment, the self-features are data attributes and data types, and the association features are collection sequence association between collected data, collection method association, etc.

[0023] Preferably, based on the self-features of the data features and the association features between the data features, the data collection monitoring strategy for the whole period of each stage is established, including:

[0024] Based on the self-features, the data collection method and the data collection time node of the collected data are determined in combination with the project stage where the data is collected;

[0025] Based on the data collection type of the collected data, the first association features between the data features are determined, and based on the data collection method and the data collection time node of the collected data, the second association features between the data features are determined;

[0026] Based on the first association features, the collected data is divided into multiple collected data groups by the data collection device, and based on the second association features, the data collection name of the data collection device for each collected data group and the data collection time node of the data collection name are determined;

[0027] Based on the data collection name and the data collection time node of the data collection name, a data collection matrix corresponding to each collected data group is established, wherein the data collection name is a one-dimensional attribute, and the data collection time node is a two-dimensional attribute;

[0028] Based on the collection constraint features between the data collection devices of each two collected data groups, the data collection matrices of each two collected data groups are verified to determine whether there is a data collection conflict;

[0029] If yes, based on the collection constraint features and the second association features, the data collection matrix is adjusted until there is no data collection conflict;

[0030] Otherwise, based on the data collection matrices of all collected data groups, a data collection monitoring strategy for the whole period of each stage is established.

[0031] Preferably, in S2, the monitoring data is obtained according to the data collection monitoring strategy, including:

[0032] Based on the data collection monitoring strategy, the data collection device and the data collection time node in each project stage are determined, and a data collection instruction is established based on the data collection device and the data collection time node;

[0033] According to the data acquisition instruction, data acquisition is performed, and the collected data is preprocessed to obtain monitoring data.

[0034] Preferably, in S3, based on the safety monitoring evaluation system, the monitoring data is safety evaluated to obtain a safety evaluation result, including:

[0035] The data name and data acquisition time point of the monitoring data are obtained, and the data name and data acquisition time point are matched with the evaluation index corresponding to the evaluation target in the safety monitoring evaluation system to obtain a matching result;

[0036] Based on the matching result, the monitoring data is input into the safety monitoring evaluation system for safety evaluation to obtain a safety evaluation result.

[0037] Preferably, in S4, based on the safety evaluation result, a hierarchical early warning is set in the whole process of the project, including:

[0038] Based on the safety evaluation result, the difference between the monitoring data and the safety standard data is determined, and the safety evaluation value of the monitoring data is determined in combination with the data type of the monitoring data and the project stage in the whole process of the project;

[0039] Based on the safety evaluation value and the numerical comparison table of the preset early warning warning level-evaluation value range, the early warning warning level of the monitoring data is determined.

[0040] Preferably, it further includes: performing a special safety evaluation on the project, specifically:

[0041] Obtaining a specific special activity in the whole process of the project, and obtaining an activity feature of the specific special activity that has a safety threat;

[0042] Based on the attribute of the activity feature, a special safety evaluation standard for the activity feature is established, and the activity feature is safety evaluated based on the special safety evaluation standard.

[0043] A monitoring system of a project whole-process safety data monitoring method, comprising:

[0044] The system establishment module is used for establishing safety monitoring evaluation systems in the project feasibility study stage, the project acceptance stage and the project operation stage based on the planning data and the input process data of the whole process of the project, respectively;

[0045] The data monitoring module is used for determining a data acquisition monitoring strategy in the whole process of the project based on the safety monitoring evaluation system, and obtaining monitoring data according to the data acquisition monitoring strategy;

[0046] A safety evaluation module is configured to perform safety evaluation on the monitoring data based on the safety monitoring evaluation system, and obtain a safety evaluation result.

[0047] A hierarchical early warning module is configured to set a hierarchical early warning reminder in the whole project process based on the safety evaluation result.

[0048] Compared with the prior art, the present application has the following beneficial effects:

[0049] The safety monitoring evaluation system is established based on the project whole process planning data and the input process data, respectively in the project feasibility study stage, the project acceptance stage and the project operation stage. The data collection monitoring strategy in the whole project process is determined based on the safety monitoring evaluation system. The monitoring data is obtained according to the data collection monitoring strategy. The safety evaluation is performed on the monitoring data based on the safety monitoring evaluation system, and the safety evaluation result is obtained. The hierarchical early warning reminder is set in the whole project process based on the safety evaluation result. The data safety in the whole project process is monitored, analyzed and warned. The healthy enterprise is constructed. The safety of employees is ensured. The production efficiency is improved.

[0050] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art upon examination of the following or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description and claims hereof.

[0051] The technical solutions of the present application will be further described in detail below with the help of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0052] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application, and explain the present application together with the embodiments of the present application, and do not constitute a limitation on the present application. In the drawings:

[0053] Figure 1 A flow chart of a project whole process safety data monitoring method in an embodiment of the present application;

[0054] Figure 2 A flow chart of establishing a safety monitoring evaluation system in an embodiment of the present application;

[0055] Figure 3 A structure diagram of a project whole process safety data monitoring system in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The preferred embodiments of the present application will be described below with the help of the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to explain and illustrate the present application, and do not constitute a limitation on the present application.

[0057] Embodiment 1:

[0058] The embodiment of the present application provides a project whole-process safety data monitoring method, as shown in the figure, which comprises the following steps: Figure 1

[0059] S1: based on the planning data and the input process data of the project whole process, respectively establishing the safety monitoring evaluation system in the project feasibility study stage, the project acceptance stage and the project operation stage;

[0060] S2: based on the safety monitoring evaluation system, determining the data collection monitoring strategy in the project whole process, and obtaining monitoring data according to the data collection monitoring strategy;

[0061] S3: based on the safety monitoring evaluation system, performing safety evaluation on the monitoring data to obtain a safety evaluation result;

[0062] S4: based on the safety evaluation result, setting a hierarchical early warning reminder in the project whole process.

[0063] In this embodiment, the project feasibility study stage identifies and analyzes the potential hazards and harmful factors of the construction project, industrial park and production and operation activities according to relevant basic data, determines the compliance with safety production laws, regulations, standards and norms, predicts the possibility and severity of accidents, proposes scientific, reasonable and feasible safety countermeasure suggestions, and makes safety evaluation conclusions.

[0064] In this embodiment, the project acceptance stage finds the hazards and harmful factors existing in the construction project after putting into production by safety evaluation on the actual operation status and management status of the facilities, equipment and devices of the construction project, determines the degree thereof, and proposes reasonable and feasible safety countermeasure measures and suggestions.

[0065] In this embodiment, the project operation stage finds the hazards and harmful factors existing in the project, determines the degree thereof, and proposes reasonable and feasible safety countermeasure measures and suggestions. The contents of the status evaluation report formed by the evaluation should be included in the safety hidden danger rectification and safety management plan of the production and operation unit, and be implemented and checked according to the plan.

[0066] In this embodiment, the safety monitoring evaluation system includes the time node of monitoring, the data type of monitoring, and the corresponding evaluation standard, etc. The evaluation standard is determined according to safety production laws, regulations, standards and norms.

[0067] In this embodiment, the safety evaluation result includes the type and harm degree of safety hidden danger.

[0068] ​The beneficial effects of the above design scheme are: by establishing a safety monitoring evaluation system in the project feasibility study stage, the project acceptance stage and the project operation stage based on the project whole-process planning data and the input process data, determining the data collection monitoring strategy in the project whole process based on the safety monitoring evaluation system, obtaining monitoring data according to the data collection monitoring strategy, performing safety evaluation on the monitoring data based on the safety monitoring evaluation system to obtain a safety evaluation result, setting a hierarchical early warning reminder in the project whole process based on the safety evaluation result, realizing the monitoring, analysis and early warning of the data safety in the project whole process, realizing the construction of a healthy enterprise, ensuring the safety of employees and improving the production efficiency.

[0069] Embodiment 2

[0070] Based on the basis of embodiment 1, the embodiment of the present application provides a project whole-process safety data monitoring method, as shown in Figure 2 In S1, based on the planning data and the input process data of the project whole process, a safety monitoring evaluation system is established in the project feasibility study stage, the project acceptance stage and the project operation stage, which comprises:

[0071] The planning data and the input process data of the project whole process are divided according to the project feasibility study stage, the project acceptance stage and the project operation stage to obtain the project data corresponding to each stage;

[0072] Based on the project data corresponding to each stage, the safety evaluation target and the safety evaluation standard of each stage are obtained, and the safety monitoring evaluation system is established based on the safety evaluation target and the safety evaluation standard.

[0073] In this embodiment, the project data is obtained from the planning data and the input process data.

[0074] In this embodiment, the planning data is the activity of identifying and analyzing the potential hazards and harmful factors of the construction project, industrial park and production and operation activities, determining the possibility and severity of accidents, proposing scientific, reasonable and feasible safety strategy measures and suggestions, and making safety evaluation conclusions in the project feasibility study stage, wherein the related data for determining the possibility of accidents is the specific process of the activity of making safety evaluation conclusions in the project acceptance stage.

[0075] In this embodiment, the input process data is obtained by monitoring the actual operation status and management status of the facilities, equipment and devices of the construction project, wherein the actual operation status of the facilities, equipment and devices of the construction project is the project acceptance stage, and the safety evaluation of the management status is the project operation stage.

[0076] The beneficial effects of the above design scheme are: by dividing the planning data and the input process data of the whole project process according to the project feasibility study stage, the project acceptance stage and the project operation stage, the corresponding project data of each stage is obtained, the stage division of the planning data and the input process data of the whole project process is realized, clear and definite data content is provided for establishing the safety monitoring and evaluation system, based on the corresponding project data of each stage, the safety evaluation target and the safety evaluation standard of each stage are obtained, under the premise of data division, the accuracy and comprehensiveness of the safety evaluation target and the safety evaluation standard obtained in each stage are ensured, and the safety monitoring and evaluation system is established based on the safety evaluation target and the safety evaluation standard, thereby providing an evaluation basis for the safety monitoring of the whole project process.

[0077] Embodiment 3:

[0078] Based on the basis of embodiment 2, the embodiment of the present application provides a project whole-process safety data monitoring method, which obtains the safety evaluation target and the safety evaluation standard of each stage based on the corresponding project data of each stage, establishes the safety monitoring and evaluation system based on the safety evaluation target and the safety evaluation standard, and comprises the following steps:

[0079] Based on the data association between the data acquisition types corresponding to the safety evaluation indexes of each stage, the index distribution structure of the safety evaluation target of each stage is established, and based on the correlation degree of each safety evaluation target and other safety evaluation targets in the index distribution structure, the index weight of each safety evaluation target is set;

[0080] The safety evaluation standard of each stage is analyzed, the index judgment formula corresponding to the safety evaluation standard that can be clearly evaluated is established, and based on the corresponding relationship between the safety evaluation target and the safety evaluation standard, the index judgment formula is weighted and processed in combination with the index weight of each safety evaluation target, thereby obtaining a weighted index judgment formula;

[0081] The standard features that cannot be clearly evaluated in the historical safety evaluation standard are obtained, the index weight of the safety evaluation target corresponding to the standard features that cannot be clearly evaluated is combined, and a fuzzy control model between the evaluation index features and the evaluation standard features in the standard features is established;

[0082] The standard features that cannot be clearly evaluated in the safety evaluation standard are input into the fuzzy control model, and index evaluation data of the safety evaluation target are obtained;

[0083] The evaluation result corresponding to the weighted index judgment formula and the index evaluation data is obtained, and based on the relationship among the safety evaluation target, the weighted index judgment formula, the index evaluation data and the evaluation result, a safety monitoring and evaluation system of each stage is established.

[0084] In this embodiment, the safety evaluation targets are, for example, occupational diseases, water use, infectious diseases, and employee mental health, and the safety evaluation standards are, for example, air quality, water quality, and water use hygiene standards.

[0085] In this embodiment, the evaluation standards that can be explicitly evaluated are, for example, monitoring of air and water quality, and the standard features that cannot be explicitly evaluated are, for example, evaluation standards for employee mental health.

[0086] In this embodiment, the index judgment formula is determined according to the type and content of the evaluation standard. For example, when the value of air quality is greater than A, it is determined that the safety standard is passed, and the index judgment formula at this time is that if the actual detection value B is greater than A, it indicates that the air quality passes the safety standard, otherwise, it indicates that the air quality does not pass the safety standard. At the same time, for example, the index weight of air quality is 0.8, and the weighted index judgment formula is B>0.8A, which indicates that the air quality passes the safety standard, otherwise, it indicates that the air quality does not pass the safety standard.

[0087] In this embodiment, the evaluation results include whether each safety evaluation target is safe and the safety hazard level.

[0088] The beneficial effects of the above design scheme are as follows: based on the project data corresponding to each stage, the safety evaluation targets and safety evaluation standards for each stage are obtained, a safety monitoring and evaluation system is established based on the safety evaluation targets and safety evaluation standards, the explicitness of the evaluation standards and the importance of the evaluation targets are considered, the standard features in the safety evaluation standards that cannot be explicitly evaluated are input into the fuzzy control model, and index evaluation data for the safety evaluation targets are obtained; the evaluation results corresponding to the weighted index judgment formula and the index evaluation data are obtained, a safety monitoring and evaluation system for each stage is established based on the relationship among the safety evaluation targets, the weighted index judgment formula, and the index evaluation data and the evaluation results, the accuracy of the established safety monitoring and evaluation system is ensured, and a basis is provided for realizing data safety monitoring in the whole process of a project.

[0089] Embodiment 4:

[0090] Based on the basis of embodiment 1, the embodiment of the present application provides a project whole-process safety data monitoring method, in S2, based on the safety monitoring and evaluation system, a data collection monitoring strategy in the whole process of a project is determined, which comprises:

[0091] Based on the safety monitoring and evaluation system, safety evaluation targets are obtained, and data features that need to be collected to achieve the safety evaluation targets are determined;

[0092] Based on the self features of the data features and the correlation features between the data features and other data features, a data collection monitoring strategy for each stage is established.

[0093] In this embodiment, the safety evaluation target is, for example, a dangerous situation existing in production process engineering as an evaluation target, a harmful factor in a production device as a safety evaluation target, and a dangerous and harmful factor existing after the construction project is put into production as an evaluation target.

[0094] In this embodiment, the self feature is a data attribute and a data type, and the association feature is an association between collected data, such as a collection sequence association and a collection method association.

[0095] The beneficial effects of the above design scheme are: obtaining a safety evaluation target based on the safety monitoring and evaluation system, providing a direction for project whole-process safety data monitoring, and determining data features that need to be collected to achieve the safety evaluation target; based on the self feature of the data features and the association feature between the data features and other data features, comprehensively and accurately analyzing the data features that need to be collected for the safety evaluation target, ensuring the matching and accuracy of the data collection and monitoring strategy for each stage and whole period established for the project, and providing a comprehensive and accurate data basis for project whole-process safety data monitoring.

[0096] Embodiment 5:

[0097] Based on the basis of embodiment 4, the embodiment of the application provides a project whole-process safety data monitoring method, which establishes a data collection and monitoring strategy for each stage and whole period based on the self feature of the data features and the association feature between the data features and other data features, and includes:

[0098] Based on the self feature, the data collection method and the data collection time node of the collected data are determined in combination with the project stage at which the data is collected;

[0099] Based on the data collection type of the collected data, the first association feature between the data features is determined, and based on the data collection method and the data collection time node of the collected data, the second association feature between the data features is determined;

[0100] Based on the first association feature, the collected data is divided according to the data collection device to obtain a plurality of collected data groups, and based on the second association feature, the data collection name of the data collection device for each collected data group and the data collection time point of the data collection name are determined;

[0101] Based on the data collection name and the data collection time point of the data collection name, a data collection matrix corresponding to each collected data group is established, wherein the data collection name is a one-dimensional attribute, and the data collection time point is a two-dimensional attribute;

[0102] Verifying the data acquisition matrix of each two acquisition data sets based on the acquisition constraint features between the data acquisition devices of the acquisition data sets, and judging whether there is data acquisition conflict;

[0103] If yes, adjusting the data acquisition matrix based on the acquisition constraint features and the second correlation features until there is no data acquisition conflict;

[0104] Otherwise, establishing the data acquisition monitoring strategy for the whole period of each stage based on the data acquisition matrix of all acquisition data sets.

[0105] In this embodiment, the acquisition constraint features are, for example, the sequence constraint of the data acquisition devices used in the project process, the site constraint of the data acquisition devices used, etc.

[0106] In this embodiment, the first correlation features are the correlation features between the acquisition types of the acquisition data, and the data acquisition types generally include data retrieval, sensor data monitoring, etc.

[0107] In this embodiment, the second correlation features are the correlation features between the data acquisition methods and the data acquisition time nodes, the data acquisition methods generally include retrieving from the data evaluation library of the safety production laws, regulations, standards, norms, or obtaining real-time monitoring data through sensors, or retrieving from the management data of the project, etc., and the data between which the acquisition time difference of the data acquisition time nodes is within the preset time range are correlated in time, otherwise, they are not correlated in time.

[0108] The beneficial effects of the above design scheme are: by determining the first correlation feature between the data features based on the data collection type of the collected data, determining the second correlation feature between the data features based on the data collection mode and the data collection time node of the collected data; based on the first correlation feature, dividing the collected data according to the data collection device to obtain a plurality of collected data groups, based on the second correlation feature, determining the data collection name of the data collection device for each collected data group and the data collection time node of the data collection name, realizing layer-by-layer analysis and screening of the data features, and clearly defining the specific feature information of the data features, providing comprehensive and clear data feature conditions for the establishment of a data collection monitoring strategy, based on the data collection name and the data collection time node of the data collection name, establishing a data collection matrix corresponding to each collected data group, wherein the data collection name is a one-dimensional attribute and the data collection time node is a two-dimensional attribute; realizing analysis and processing of the collected data from the collection name and the collection time node, verifying the data collection matrix of each two collected data groups based on the collection constraint feature between the data collection devices of each two collected data groups, and judging whether there is a data collection conflict; if so, adjusting the data collection matrix based on the collection constraint feature and the second correlation feature until there is no data collection conflict; otherwise, based on the data collection matrix of all collected data groups, establishing a data collection monitoring strategy for each stage of the whole period, ensuring that the established data collection monitoring strategy does not exist in the collection time, ensuring the smoothness of the data collection monitoring strategy, and establishing a data collection monitoring strategy for each stage of the whole period by formulating and verifying the data collection strategy, ensuring the efficiency and accuracy of monitoring data acquisition in the whole process of the project, and providing a basis for further data evaluation.

[0109] Embodiment 6:

[0110] Based on the basis of embodiment 1, the present embodiment provides a project whole-process safety data monitoring method, in S2, according to the data collection monitoring strategy, the monitoring data is obtained, comprising:

[0111] Based on the data collection monitoring strategy, the data collection device and the data collection time node in each project stage are determined, and the data collection instruction is established based on the data collection device and the data collection time node;

[0112] According to the data collection instruction, data collection is performed, and the collected data is preprocessed to obtain monitoring data.

[0113] In this embodiment, the preprocessing of the collected data includes data cleaning, data integration, data standardization and the like.

[0114] The beneficial effects of the above design scheme are: based on the data acquisition monitoring strategy, the data acquisition device and the data acquisition time point in each project stage are determined, and the data acquisition instruction is established based on the data acquisition device and the data acquisition time point, so that the accuracy of the data acquisition instruction for collecting data is ensured from the time and device, the data is collected according to the data acquisition instruction, and the collected data is preprocessed, including data cleaning, data deduplication, data unification and the like, so that the quality of the monitoring data in subsequent safety evaluation application is ensured, the data acquisition of the project whole-process safety data monitoring is realized, and high-quality data basis is provided for data safety analysis.

[0115] Embodiment 7:

[0116] Based on the basis of Embodiment 1, the embodiment of the application provides a project whole-process safety data monitoring method, and in S3, based on the safety monitoring evaluation system, the monitoring data is safety evaluated to obtain a safety evaluation result, including:

[0117] The data name and the data acquisition time point of the monitoring data are obtained, the data name and the data acquisition time point are matched with the evaluation index corresponding to the evaluation target in the safety monitoring evaluation system, and a matching result is obtained;

[0118] Based on the matching result, the monitoring data is input into the safety monitoring evaluation system for safety evaluation, and a safety evaluation result is obtained.

[0119] In this embodiment, the safety evaluation result is the difference between the monitoring data and the safety standard data in the safety monitoring evaluation system.

[0120] The beneficial effects of the above design scheme are: by obtaining the data name and the data acquisition time point of the monitoring data, matching the data name and the data acquisition time point with the evaluation index corresponding to the evaluation target in the safety monitoring evaluation system, obtaining a matching result, and based on the matching result, inputting the monitoring data into the safety monitoring evaluation system for safety evaluation, a safety evaluation result is obtained, the data safety in the project whole-process is monitored, analyzed and warned, the construction of a healthy enterprise is realized, the safety of employees is ensured, and the production efficiency is improved.

[0121] Embodiment 8:

[0122] Based on the basis of Embodiment 1, the embodiment of the application provides a project whole-process safety data monitoring method, and in S4, based on the safety evaluation result, a hierarchical early warning reminder is set in the project whole-process, including:

[0123] Based on the safety evaluation result, a difference between the monitoring data and the safety standard data is determined, and a safety evaluation value of the monitoring data is determined in combination with a data type of the monitoring data and a project stage in a whole process of the project;

[0124] The safety evaluation value is calculated according to the following formula:

[0125]

[0126] wherein H represents the safety evaluation value of the monitoring data, K represents an importance degree of the data type of the monitoring data in the project stage, and is valued as (1, 10), C represents a constant, and is valued as 10, σ represents a unified standardization coefficient of the data type of the monitoring data, M max represents a maximum threshold value of the safety standard data, M min represents a minimum threshold value of the safety standard data, and M represents a numerical value of the monitoring data.

[0127] Based on the safety evaluation value and a numerical comparison table of a preset early warning reminding level-evaluation value range, an early warning reminding level of the monitoring data is determined.

[0128] In this embodiment, when the monitoring data is greater than the safety standard data, the difference is positive, when the monitoring data is equal to the safety standard data, the difference is zero, and when the monitoring data is less than the safety standard data, the difference is negative.

[0129] The beneficial effects of the above design scheme are as follows: based on the safety evaluation result, the difference between the monitoring data and the safety standard data is determined, and the safety evaluation value of the monitoring data is determined in combination with the data type of the monitoring data and the project stage in the whole process of the project, the importance degree of the data type of the monitoring data in the project stage is considered in the calculation process of the safety evaluation value, the safety evaluation is determined to be clearly focused, the unified standardization coefficient of the data type of the monitoring data is also considered, the difference influence brought by different data types is eliminated for the determination of the safety evaluation, and finally the high matching of the safety evaluation value and the actual situation of the project is ensured, based on the safety evaluation value and the numerical comparison table of the preset early warning reminding level-evaluation value range, the early warning reminding level of the monitoring data is determined, the monitoring, analysis and early warning of the data safety in the whole process of the project are realized, the construction of a healthy enterprise is realized, the safety of employees is ensured, and the production efficiency is improved.

[0130] Embodiment 9:

[0131] Based on the embodiment 1, the embodiment of the present application provides a project whole process safety data monitoring method, further comprising: performing a special safety evaluation on the project, specifically:

[0132] acquiring a specific special activity in the whole process of the project, and acquiring an activity feature of a safety threat existing in the specific special activity;

[0133] Based on the attribute of the activity feature, a special safety evaluation standard for the activity feature is established, and the activity feature is evaluated based on the special safety evaluation standard.

[0134] In this embodiment, the activity feature is, for example, a specific industry, product, production mode, production process or production device, etc.

[0135] The above design scheme has the beneficial effects that: by obtaining a specific special activity in the whole project process, obtaining an activity feature with a safety threat in the specific activity feature, based on the attribute of the activity feature, a special safety evaluation standard for the activity feature is established, and the activity feature is evaluated based on the special safety evaluation standard, the comprehensiveness of the whole project process safety data monitoring is realized, the construction of a healthy enterprise is realized, the safety of employees is ensured, and the production efficiency is improved.

[0136] Embodiment 10:

[0137] Based on the basis of embodiment 1, the present embodiment provides a monitoring system of a whole project process safety data monitoring method, as shown in Figure 3 , comprising:

[0138] The system establishment module is used for establishing a safety monitoring evaluation system in the project feasibility study stage, the project acceptance stage and the project operation stage based on the planning data and the input process data of the whole project process, respectively.

[0139] The data monitoring module is used for determining a data collection monitoring strategy in the whole project process based on the safety monitoring evaluation system, and obtaining monitoring data according to the data collection monitoring strategy.

[0140] The safety evaluation module is used for performing safety evaluation on the monitoring data based on the safety monitoring evaluation system, and obtaining a safety evaluation result.

[0141] The hierarchical early warning module is used for setting hierarchical early warning reminders in the whole project process based on the safety evaluation result.

[0142] In this embodiment, the project feasibility study stage identifies and analyzes potential hazards and harmful factors of the construction project, industrial park and production and operation activities according to relevant basic data, determines the compliance of the hazards and harmful factors with safety production laws, regulations, standards and norms, predicts the possibility and severity of accidents, proposes scientific, reasonable and feasible safety countermeasure suggestions, and makes safety evaluation conclusions.

[0143] In the embodiment, the project acceptance stage finds the hazards and harmful factors existing after the construction project is put into production, determines the degree thereof, and proposes reasonable and feasible safety countermeasures and suggestions by safety evaluation on the actual operation and management conditions of the facilities, equipment and devices of the construction project.

[0144] In the embodiment, the project operation stage finds the hazards and harmful factors existing, determines the degree thereof, and proposes reasonable and feasible safety countermeasures and suggestions by evaluation. The content of the status evaluation report formed by the evaluation should be included in the safety hidden danger rectification and safety management plan of the production and operation unit, and be implemented and checked according to the plan.

[0145] In the embodiment, the safety monitoring evaluation system includes the time node of monitoring, the data type of monitoring, and the corresponding evaluation standard, and the evaluation standard is determined according to the safety production laws, regulations, standards and norms.

[0146] In the embodiment, the safety evaluation result includes the type and harm degree of the safety hidden danger.

[0147] The beneficial effects of the above design scheme are that by establishing the safety monitoring evaluation system in the project feasibility study stage, the project acceptance stage and the project operation stage based on the project whole-process planning data and the input process data, determining the data collection monitoring strategy in the project whole process based on the safety monitoring evaluation system, obtaining the monitoring data according to the data collection monitoring strategy, performing safety evaluation on the monitoring data based on the safety monitoring evaluation system to obtain the safety evaluation result, setting the hierarchical early warning based on the safety evaluation result in the project whole process, realizing the monitoring, analysis and early warning of the data safety in the project whole process, realizing the construction of the healthy enterprise, ensuring the safety of the employees, and improving the production efficiency.

[0148] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A method for monitoring safety data throughout the entire project process, characterized in that, include: S1: Based on the planning data and input process data of the entire project, establish a safety monitoring and evaluation system in the project feasibility study stage, project acceptance stage and project operation stage respectively; S2: Based on the aforementioned safety monitoring and evaluation system, determine the data collection and monitoring strategy throughout the entire project process, and obtain monitoring data according to the aforementioned data collection and monitoring strategy; S3: Based on the safety monitoring and evaluation system, conduct a safety assessment on the monitoring data to obtain the safety assessment results; S4: Based on the safety assessment results, set up tiered early warning reminders throughout the project process; Specifically, in S1, a safety monitoring and evaluation system is established based on planning data and input process data throughout the entire project process, at the project feasibility study stage, project acceptance stage, and project operation stage, respectively, including: The planning data and input process data of the entire project are divided into the project feasibility study stage, the project acceptance stage and the project operation stage to obtain the project data corresponding to each stage. Based on the project data corresponding to each stage, obtain the safety evaluation objectives and safety evaluation standards for each stage, and establish a safety monitoring and evaluation system based on the safety evaluation objectives and safety evaluation standards. Based on the project data corresponding to each stage, the safety evaluation objectives and standards for each stage are obtained. A safety monitoring and evaluation system is then established based on these objectives and standards, including: Based on the data association between the data acquisition types of the project data corresponding to the safety evaluation indicators of each stage, establish the indicator distribution structure of the safety evaluation objectives of each stage, and set the indicator weight of each safety evaluation objective based on the correlation between each safety evaluation objective and other safety evaluation objectives in the indicator distribution structure. The safety evaluation standards for each stage are analyzed, and the indicator judgment formulas corresponding to the safety evaluation standards that can be clearly evaluated are established. Based on the correspondence between the safety evaluation objectives and the safety evaluation standards, and combined with the indicator weights of each safety evaluation objective, the indicator judgment formulas are weighted to obtain the weighted indicator judgment formulas. Obtain the standard features that cannot be clearly evaluated from the historical safety evaluation standards, and combine the index weights of the safety evaluation objectives corresponding to the standard features that cannot be clearly evaluated to establish a fuzzy control model between the evaluation index features and the evaluation standard features in the standard features; By inputting the standard features that cannot be clearly evaluated in the safety evaluation criteria into the fuzzy control model, the index evaluation data of the safety evaluation target are obtained; Obtain the evaluation results corresponding to the weighted index judgment formula and index evaluation data. Based on the relationship between the safety evaluation target, the weighted index judgment formula, the index evaluation data, and the evaluation results, establish a safety monitoring and evaluation system for each stage. Step S2 includes: obtaining the safety evaluation target based on the safety monitoring and evaluation system, and determining the data characteristics that need to be collected to achieve the safety evaluation target; Based on the inherent characteristics of the data features and their correlation with other data features, a data collection and monitoring strategy for each stage throughout the entire period is established, including: Based on its own characteristics, the data collection method and time node are determined in combination with the project stage in which the data is collected. Based on the data collection type, the first correlation feature between data features is determined; based on the data collection method and data collection time point, the second correlation feature between data features is determined. Based on the first association feature, the collected data is divided according to the data acquisition device to obtain multiple data acquisition groups. Based on the second association feature, the data acquisition name of the data acquisition device for each data acquisition group and the data acquisition time point for the data acquisition name are determined. Based on the data collection name and the data collection time point for the data collection name, a data collection matrix is ​​established for each data collection group, where the data collection name is a one-dimensional attribute and the data collection time point is a two-dimensional attribute. Based on the acquisition constraint characteristics between the data acquisition devices of each pair of data acquisition groups, the data acquisition matrix of each pair of data acquisition groups is verified to determine whether there is a data acquisition conflict. If so, the data acquisition matrix is ​​adjusted based on the acquisition constraint features and the second correlation features until there are no data acquisition conflicts; otherwise, a data acquisition monitoring strategy for each stage throughout the entire period is established based on the data acquisition matrix of all acquired data groups. Step 4 includes: based on the safety assessment results, determining the differences between the monitoring data and the safety standard data, and combining the data type of the monitoring data and the project stage throughout the project process to determine the safety assessment value of the monitoring data; The formula for calculating the safety assessment value is as follows: in, The value represents the safety assessment value of the monitoring data, and K represents the importance of the data type in the project phase, with a value of (1, 10). This represents a constant with a value of 10. The uniform standardization coefficient represents the data type of the monitoring data. This represents the maximum threshold for safety standard data. This represents the minimum threshold for safety standard data. This represents the numerical value of the monitoring data; Based on the comparison table between the security assessment value and the preset early warning alert level - assessment value range, the early warning alert level of the monitoring data is determined.

2. The method for monitoring safety data throughout the entire project process according to claim 1, characterized in that, In step S2, monitoring data is obtained according to the data acquisition and monitoring strategy, including: Based on the data acquisition and monitoring strategy, the data acquisition device and data acquisition time point are determined for each project stage, and data acquisition instructions are established based on the data acquisition device and data acquisition time point. Data is collected according to the data acquisition instructions, and the collected data is preprocessed to obtain monitoring data.

3. The method for monitoring safety data throughout the entire project process according to claim 1, characterized in that, In step S3, based on the security monitoring and evaluation system, a security assessment is performed on the monitoring data to obtain the security assessment results, including: Obtain the data name and data collection time point of the monitoring data, and match the data name and data collection time point with the evaluation indicators corresponding to the evaluation targets in the safety monitoring and evaluation system to obtain the matching results; Based on the matching results, the monitoring data is input into the safety monitoring and evaluation system for safety assessment, and the safety assessment results are obtained.

4. The method for monitoring safety data throughout the entire project process according to claim 1, characterized in that, Also includes: A specific safety assessment will be conducted on the project, including: Acquire specific activities throughout the entire project process, and identify the activity characteristics of those specific activities that pose security threats. Based on the attributes of the activity characteristics, a specific safety evaluation standard is established for the activity characteristics, and a safety evaluation is conducted on the activity characteristics based on the specific safety evaluation standard.

5. A monitoring system for a project-wide safety data monitoring method, used to implement the project-wide safety data monitoring method as described in claim 1, characterized in that, include: The system establishment module is used to establish a safety monitoring and evaluation system based on planning data and input process data throughout the entire project process, respectively, in the project feasibility study stage, project acceptance stage, and project operation stage. The data monitoring module is used to determine the data collection and monitoring strategy throughout the entire project process based on the safety monitoring and evaluation system, and to obtain monitoring data in accordance with the data collection and monitoring strategy. The security assessment module is used to perform a security assessment on the monitoring data based on the security monitoring and evaluation system, and obtain the security assessment results. The tiered early warning module is used to set tiered early warning alerts throughout the entire project process based on the results of the safety assessment.

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