CN115796569A - Safety risk grading monitoring platform for building construction enterprises - Google Patents
Safety risk grading monitoring platform for building construction enterprises Download PDFInfo
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- CN115796569A CN115796569A CN202211284627.5A CN202211284627A CN115796569A CN 115796569 A CN115796569 A CN 115796569A CN 202211284627 A CN202211284627 A CN 202211284627A CN 115796569 A CN115796569 A CN 115796569A
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Abstract
The invention provides a safety risk grading monitoring platform for a building construction enterprise, which comprises a danger source identification system, a risk early warning module and a system management module. The method comprises the steps that a danger source identification system obtains danger source identification data of construction sites of various projects subordinate to a building construction enterprise and records the quantity of danger sources; the risk early warning module collects the quantity data of each dangerous source recorded by the dangerous source identification system, and evaluates the risk of each dangerous source by using a fuzzy comprehensive evaluation method so as to determine the risk level; the system management module gives an alarm according to the risk grade division result output by the risk early warning module, automatically switches risks of different grades to the enterprise safety responsible person and the project safety responsible person, prompts corresponding management and control measures, and effectively eliminates the risks, thereby realizing the dynamic real-time monitoring function, the risk assessment early warning function and the safety supervision function of the building construction site, enhancing the site supervision and management strength, and greatly reducing or eliminating the occurrence of safety production accidents.
Description
Technical Field
The invention belongs to the technical field of risk monitoring of building construction sites, and particularly relates to a safety risk grading monitoring platform for building construction enterprises.
Background
The building industry is one of five high-risk industries in China, the risk is high, the danger is large, especially in recent years, the safety production accidents in China are frequent, the safety situation is aggravated continuously, and great negative effects are brought to the social development. The safety production gateway is promoted to move forwards by providing a double prevention mechanism of safety risk classification management and control and hidden danger investigation management, but at present, the building construction risk management and control in China is still not in place, the problems of unclear risk source identification and inaccurate risk assessment exist, the traditional paper materials are still mostly adopted for safety supervision data, and the information construction is relatively lagged behind. Therefore, the safety risk grading monitoring platform for the building construction enterprises is designed, automatic storage and accurate evaluation can be carried out after the risk source condition of the construction site is collected, and related project responsible personnel can be automatically associated according to the evaluation result, so that the occurrence of safety production accidents is reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a safety risk grading monitoring platform for a building construction enterprise, which can carry out accurate risk assessment and early warning on a construction site hazard source, and simultaneously associates related responsible persons, thereby realizing intelligent and fine grading supervision control on safety risks.
The present invention achieves the above-described object by the following technical means.
A safety risk classification monitoring platform for a building construction enterprise comprises a hazard source identification system, a risk early warning module and a system management module; the danger source identification system is used for acquiring and storing identification data of the danger sources on the construction site and determining the quantity of each danger source; the risk early warning module is used for collecting the quantity of each dangerous source recorded by the dangerous source identification system, evaluating the risk of each dangerous source by using a fuzzy comprehensive evaluation method and determining the risk level; the system management module is used for warning according to the risk grade division result output by the risk early warning module, automatically switching to a corresponding responsible person, and automatically prompting corresponding management and control measures.
Furthermore, the danger source identification system comprises a danger source list database, after relevant personnel on the construction site identify the danger sources on the construction site every day, the relevant personnel on the construction site select the danger sources through the danger source list database, the danger source identification system manually inputs the data of each danger source after the identification is finished, the danger source identification system automatically stores the uploaded data, and the quantity of each danger source is dynamically recorded.
Furthermore, the risk early warning module divides indexes of personnel, objects, environment and management factors on a construction site, gives index weight values, obtains weight sets of different indexes by matrix operation, obtains membership degrees under different indexes by calculation of the weight sets and a membership degree evaluation matrix, carries out risk level evaluation according to a maximum membership degree principle, comprises three levels, namely high-level risk, medium-level risk and low-level risk, and finally realizes risk level division according to the quantity of risk sources and risk level evaluation results.
Further, when the risk early warning module evaluates the risk according to the maximum membership rule, the risk early warning module evaluates the risk as a high-level risk in the range of 70% -100% of the maximum membership, evaluates the risk as a medium-level risk in the range of 30% -70% (including 70%) of the maximum membership, and evaluates the risk as a low-level risk in the range of 0% -30% (including 30%) of the maximum membership.
Further, the principle of risk ranking is as follows: when the number of the risk sources is 10 or more or the evaluation result of the risk size is a high-level risk, the risk is divided into a first-level risk, when the number of the risk sources is 5 to 10 or the evaluation result of the risk size is a medium-level risk, the risk is divided into a second-level risk, and when the number of the risk sources is 5 or less or the evaluation result of the risk size is a low-level risk, the risk is divided into a third-level risk.
Furthermore, the system management module carries out red warning for the first-level risk, orange warning for the second-level risk and yellow warning for the third-level risk.
Further, when the risk grade division result output by the risk early warning module is received by the system management module and is a primary risk or a secondary risk, automatically transferring the risk information to the enterprise safety responsible person, and when the risk grade division result output by the risk early warning module is received by the system management module and is a tertiary risk, automatically transferring the risk information to the project safety responsible person; and the enterprise safety responsible person and the project safety responsible person formulate corresponding control measures according to the risk information, are connected with a construction site, and eliminate risks by taking corresponding measures by the personnel on the construction site.
The invention has the following beneficial effects:
according to the invention, the situation of the on-site dangerous source can be comprehensively and accurately identified through the dangerous source identification system, and accurate data is provided for the risk early warning module; according to the invention, based on the risk early warning module, the risk is evaluated by adopting a qualitative and quantitative combined method, so that the evaluation grade of the risk on the construction site can be accurately obtained; according to the invention, the system management module is used for warning based on analysis of risk levels, when primary and secondary risks occur, the risk information is automatically transferred to the enterprise safety responsible person, when tertiary risks occur, the risk information is automatically transferred to the project safety responsible person, and the enterprise safety responsible person and the project safety responsible person make corresponding management and control measures according to the specific risk information, so that a dynamic real-time monitoring function, a risk assessment early warning function and a safety supervision function of a building construction site are realized, the site supervision strength is enhanced, the occurrence of safety production accidents is greatly reduced or stopped, the whole supervision process is more intelligent, and the management is more convenient and faster.
Drawings
FIG. 1 is an overall framework diagram of a security risk classification monitoring platform;
FIG. 2 is a schematic diagram of the operation of the risk early warning module;
FIG. 3 is a schematic diagram of the system management module.
Detailed Description
The invention will be further described with reference to the following figures and specific examples, but the scope of the invention is not limited thereto.
As shown in fig. 1, the safety risk classification monitoring platform for a building construction enterprise according to the present invention includes a hazard source identification system, a risk early warning module, and a system management module.
As shown in fig. 1, the danger source identification system includes a danger source list database, after the relevant personnel in the construction site identify the danger source in the construction site every day, the relevant personnel select the danger source list database, manually input the data of each danger source after the identification, and automatically store the uploaded data and dynamically record the number of each danger source.
As shown in fig. 1 and 2, the risk early warning module collects data of the quantity of each hazard source recorded by the hazard source identification system, and evaluates the risk of each hazard source by using a fuzzy comprehensive evaluation method, so as to determine the risk level, and the specific process is as follows: dividing indexes of personnel, objects, environment and management factors on a construction site into 4 primary indexes which are respectively unsafe behaviors of people, unsafe states of the objects, environmental factors and management defects, wherein a plurality of secondary indexes are divided under each primary index; giving a weight value to each of the first-level index and the second-level index, wherein the weight values of different indexes are obtained by an expert experience method; obtaining weight sets of different indexes by utilizing matrix operation; calculating the membership degrees under different indexes by using the weight set and a membership degree evaluation matrix, evaluating the risk according to a maximum membership degree principle, wherein the risk is evaluated to be high-grade risk in the range of 70-100% of the maximum membership degree, the risk is evaluated to be medium-grade risk in the range of 30-70% (including 70%) of the maximum membership degree, and the risk is evaluated to be low-grade risk in the range of 0-30% (including 30%) of the maximum membership degree; and then, carrying out risk grade division according to the number of the danger sources and the risk size evaluation result, dividing into first-grade risks when the number of the danger sources is more than 10 or the risk size evaluation result is a high-grade risk, dividing into second-grade risks when the number of the danger sources is 5-10 or the risk size evaluation result is a medium-grade risk, and dividing into third-grade risks when the number of the danger sources is 5 or less or the risk size evaluation result is a low-grade risk.
As shown in fig. 1 and 3, the system management module warns according to the risk grade division result output by the risk early warning module, automatically switches to a corresponding manager, and automatically prompts a corresponding management and control measure according to the identified risk condition. Aiming at the first-level risk, the system management module carries out red warning, aiming at the second-level risk, the system management module carries out orange warning, and aiming at the third-level risk, the system management module carries out yellow warning.
When a first-level risk or a second-level risk occurs, the system management module automatically transfers the risk information to the enterprise safety responsible person, when a third-level risk occurs, the system management module automatically transfers the risk information to the project safety responsible person, the enterprise safety responsible person and the project safety responsible person make corresponding management and control measures according to the risk information and timely contact a construction site, and the construction site personnel take the corresponding measures to eliminate the risk.
The present invention is not limited to the above-described embodiments, and any obvious improvements, substitutions or modifications can be made by those skilled in the art without departing from the spirit of the present invention.
Claims (7)
1. A safety risk classification monitoring platform for a building construction enterprise is characterized by comprising a hazard source identification system, a risk early warning module and a system management module; the danger source identification system is used for acquiring and storing identification data of the danger sources on the construction site and determining the quantity of each danger source; the risk early warning module is used for collecting the quantity of each dangerous source recorded by the dangerous source identification system, evaluating the risk of each dangerous source by using a fuzzy comprehensive evaluation method and dividing the risk grade; and the system management module is used for warning according to the risk grade division result output by the risk early warning module, automatically switching to a corresponding responsible person and automatically prompting corresponding management and control measures.
2. The safety risk classification monitoring platform for the construction enterprises according to claim 1, wherein the danger source identification system comprises a danger source list database, after construction site related personnel identify construction site danger sources on site every day, the personnel select the construction site danger sources through the danger source list database, manually input and upload data of each identified danger source, and automatically store the uploaded data and dynamically record the number of each danger source.
3. The safety risk classification monitoring platform for the building construction enterprises as claimed in claim 1, wherein the risk early warning module performs index classification on the personnel, objects, environment and management factors in a construction site, gives index weight values, obtains weight sets of different indexes by using matrix operation, obtains the membership under different indexes by using the weight sets and the membership evaluation matrix through calculation, performs risk size evaluation according to a maximum membership principle, and performs risk level classification on the basis of three levels, namely, a high-level risk, a medium-level risk and a low-level risk, and finally performs risk level classification on the basis of the risk source number and the risk size evaluation result, wherein the risk level comprises three levels, namely, a first-level risk, a second-level risk and a third-level risk.
4. The safety risk classification monitoring platform for the building construction enterprises according to the claim 3, wherein when the risk early warning module carries out risk size evaluation according to the maximum membership principle, the risk is evaluated as a high-level risk within the range of 70% -100% of the maximum membership, the risk is evaluated as a medium-level risk within the range of 30% -70% (including 70%) of the maximum membership, and the risk is evaluated as a low-level risk within the range of 0-30% (including 30%) of the maximum membership.
5. The safety risk classification monitoring platform for building construction enterprises according to claim 3, wherein the risk classification principle is as follows: when the number of the dangerous sources is 10 or more or the evaluation result of the risk size is high-level risk, the dangerous sources are divided into first-level risk, when the number of the dangerous sources is 5 to 10 or the evaluation result of the risk size is medium-level risk, the dangerous sources are divided into second-level risk, and when the number of the dangerous sources is 5 or less or the evaluation result of the risk size is low-level risk, the dangerous sources are divided into third-level risk.
6. The safety risk classification monitoring platform for building construction enterprises according to claim 3, wherein the system management module carries out red warning for the first-level risk, orange warning for the second-level risk and yellow warning for the third-level risk.
7. The safety risk classification monitoring platform for the building construction enterprises according to claim 3, wherein the system management module automatically transfers the risk information to the enterprise safety responsible person when receiving the first-level risk or the second-level risk of the risk classification result output by the risk early warning module, and automatically transfers the risk information to the project safety responsible person when receiving the third-level risk of the risk classification result output by the risk early warning module; and the enterprise safety responsible persons and the project safety responsible persons set corresponding control measures according to the risk information, are connected with a construction site, and eliminate risks by taking corresponding measures by the personnel on the construction site.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211284627.5A CN115796569A (en) | 2022-10-17 | 2022-10-17 | Safety risk grading monitoring platform for building construction enterprises |
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| CN202211284627.5A CN115796569A (en) | 2022-10-17 | 2022-10-17 | Safety risk grading monitoring platform for building construction enterprises |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116151629A (en) * | 2023-04-23 | 2023-05-23 | 山东佰腾云智能科技有限公司 | Engineering safety supervision system and method based on artificial intelligence |
| CN116415846A (en) * | 2023-03-15 | 2023-07-11 | 广州为乐信息科技有限公司 | Automatic calculation method for classification and grading of laboratory |
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2022
- 2022-10-17 CN CN202211284627.5A patent/CN115796569A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116415846A (en) * | 2023-03-15 | 2023-07-11 | 广州为乐信息科技有限公司 | Automatic calculation method for classification and grading of laboratory |
| CN116151629A (en) * | 2023-04-23 | 2023-05-23 | 山东佰腾云智能科技有限公司 | Engineering safety supervision system and method based on artificial intelligence |
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