CN112241830A - Safety production management method based on artificial intelligence driving block chain - Google Patents
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Abstract
The invention discloses a safety production management method based on an artificial intelligence driving block chain, which comprises a main line monitoring method, wherein the steps are as follows: step Sa 1: starting to monitor; step Sa 2: uploading hidden danger data; step Sa 3: judging whether the data in the step Sa2 is uploaded successfully; step Sa 4: and forming a hidden danger list. The block chain technology in the building field can effectively classify and arrange the transmitted information, improve the safety of the information, avoid the occurrence of some hidden trouble accidents and ensure the production safety. The characteristics of decentralization, node storage and the like applied to the block chain technology are beneficial to realizing safety guarantee for private data, and the condition of data loss caused by a central structure can be basically avoided. The blockchain can effectively store the original data of user transaction for a long time, so that convenience is created for the user to acquire related data information, and the blockchain is beneficial to effectively managing own privacy information.
Description
Technical Field
The invention relates to a safety production management method, in particular to a safety production management method based on an artificial intelligence driving block chain.
Background
In the big data era, mass data information which is emerging, updated in real time, diverse in form and different in quality enables decision makers to track and serve the requirements of common citizens more closely, but various decision risks which are difficult to control effectively through a traditional accountability mechanism are caused, the application of the block chain technology can provide the maximum help for enterprises to effectively supervise the production safety state, the resource sharing is realized to the maximum extent, convenience conditions are provided for enterprise supervision and government department supervision, and meanwhile, the important realistic significance is achieved for improving the service efficiency and the service quality. By utilizing the block chain technology, the fundamental change of a decision responsibility mechanism can be promoted, a multi-layer cooperation and multi-head interconnection public responsibility mechanism is formed, on one hand, the public decision capability is greatly improved through an information technology, on the other hand, various risks caused by mass data are overcome, the democratic performance of public decisions is strengthened, and the responsibility of decision makers for assisting ordinary people in development is strengthened.
The decision making process is a process in which a decision maker processes decision bases in a given system environment, compared with the past survey tools which are continuously updated, big data provides abundant and striking decision bases, but how to ensure that the decision maker maintains the effectiveness and the correctness of the decision making in a new environment becomes a problem needing to be answered. The traditional public decision responsibility mechanism can not promote a decision maker to effectively deal with various risks under big data, the traditional public decision responsibility mechanism is built on the basis of a department level system, the following of a decision making process to a set rule is emphasized, and the traditional public decision responsibility mechanism is a longitudinal responsibility mechanism (namely, a command-control from top to bottom is taken as a core) and a backward-looking responsibility mechanism (namely, the decision making behavior of the current decision is required to meet the past regulation) in terms of essence, and the block chain technology creatively builds a non-centralized, distributed and 'same-way' participation and supervision consensus type responsibility mechanism, can help to realize a multi-layer cooperation and multi-head public responsibility mechanism, strengthens the democratic property of public decision and the responsibility of the decision maker for assisting ordinary people to develop, and practically applies the block chain technology to a management level.
In particular, a distributed decentralized production management method is also needed in the aspect of safe production management to improve the accuracy of the processes of data generation, replacement, modification, update, utilization and the like.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a safety production management method based on an artificial intelligence driving block chain.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention relates to a safety production management method based on an artificial intelligence driving block chain, which comprises a main line monitoring method, wherein,
the method comprises the following steps:
step Sa 1: starting to monitor;
step Sa 2: uploading hidden danger data;
step Sa 3: judging whether the data in the step Sa2 is uploaded successfully;
step Sa 4: forming a hidden danger list;
step Sa 5: judging whether the hidden danger in the step Sa4 is solved;
step Sa 6: the hidden trouble resolution process proceeds to step Sa7, where,
step Sa7 is to end the current hidden danger detection process.
As a preferable technical proposal of the invention, the invention also comprises a safe production method, wherein,
the method comprises the following steps:
step Sb 1: newly building a project;
step Sb 2: monitoring the new project in the step Sb 1;
step Sb 3: carrying out abnormal data statistics;
step Sb 4: entering a grading system for analysis and comparison;
step Sb 5: obtaining a project rank;
step Sb 6: comparing the items;
step Sb 7: the current item is ended.
As a preferred embodiment of the present invention, in the step Sa3, if the uploading risk fails, the process returns to the step Sa2 to upload the risk again.
As a preferred embodiment of the present invention, in the step Sa5, if the hidden trouble is not solved, the hidden trouble is returned to the hidden trouble list in the step Sa 4.
As a preferred technical solution of the present invention, in the step Sb3, if abnormal data statistics does not result in abnormal data, the step Sb2 is returned to continue monitoring, and if abnormal data is obtained or found, the step Sb4 is entered.
As a preferred embodiment of the present invention, in the step Sb5, if the leaderboard of the item cannot be obtained, the step Sb4 is returned to continue the scoring system analysis and comparison, and if the leaderboard of the item is obtained, the step Sb6 is entered to perform the item comparison.
As a preferred embodiment of the present invention, the data monitored or monitored in the step Sa1 and the step Sb2 includes: wind speed detected by a sensor, inclination detected by a sensor and a value of sedimentation detected by a sensor.
The invention has the following beneficial effects: the invention utilizes AI driving block chain technology to monitor the construction site comprehensively, and can monitor all construction site projects in real time. The detected information is recorded on the block chain, and the information is transmitted to other equipment through the Internet of things, so that the safety production guarantee is provided for the promotion of future urban development, and important influence is generated; the block chain technology improves the safety of data of artificial intelligence, accelerates the accumulation of data, provides strong data support for the artificial intelligence and solves the data supply problem of AI; the block chain technology creatively builds a non-centralized, distributed, joint participation and supervision consensus responsibility mechanism, can help realize a multi-layer cooperation and multi-head interconnection public responsibility mechanism, strengthens the democratic property of public decision and the responsibility of a decision maker for assisting ordinary people to develop; the sensors of various types detect wind speed, inclination, sedimentation value and the like, and the behavior recognition and behavior linkage are realized by utilizing a camera and an algorithm, so that the safety production of a construction site is guaranteed; the block chain technology can effectively classify and arrange the transmission information in the building field, can also improve the safety of the information, avoids the occurrence of some hidden trouble accidents, and ensures the production safety. The characteristics of decentralization, node storage and the like applied to the block chain technology are beneficial to realizing safety guarantee for private data, and the condition of data loss caused by a central structure can be basically avoided. The blockchain can effectively store the original data of user transaction for a long time, so that convenience is created for the user to acquire related data information, and the blockchain is beneficial to effectively managing own privacy information. With the continuous optimization and upgrading of communication technology, users can transmit a large amount of information in an efficient environment. The popularization of the Internet of things is facilitated; the block chain can effectively improve the safety of data management, storage and transmission in the edge artificial intelligence computing system; in order to promote the development of edge artificial intelligence computation, the core of artificial intelligence, namely information and data, is indispensable, and the blockchain can effectively stimulate the sharing and exchange of the information and the data in the edge intelligent scene. In addition, research indicates that the blockchain can improve the trust of the artificial intelligence model and is beneficial to optimizing the artificial intelligence model; the method can provide help for data right determination when applied to the enterprise safety production informatization construction process, improves the data circulation efficiency, and simultaneously improves the accuracy of the processes of data generation, replacement, modification, update, utilization and the like; the data can be further encrypted by the aid of a Hash encryption algorithm, and privacy data or confidential information possibly existing in the data can be desensitized to a certain extent in the circulation process. In addition, the role division can be realized by means of the asymmetric encryption technology, and the method has important application value for refining the data operation authority. Therefore, for the enterprise, the method can greatly reduce the worry and trouble of the enterprise about the data security related problems; by means of the intelligent contract technology, shared data rules agreed in advance among enterprises can be executed and managed, the possibility of human interference factors is reduced, and a high-trust data sharing platform is constructed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is one of the schematic structural diagrams of the present invention;
FIG. 2 is a second schematic structural diagram of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Examples
As shown in fig. 1-2, the present invention provides a method for managing safety production based on artificial intelligence-driven block chain, including a main line monitoring method, wherein,
the method comprises the following steps:
step Sa 1: starting to monitor;
step Sa 2: uploading hidden danger data;
step Sa 3: judging whether the data in the step Sa2 is uploaded successfully;
step Sa 4: forming a hidden danger list;
step Sa 5: judging whether the hidden danger in the step Sa4 is solved;
step Sa 6: the hidden trouble resolution process proceeds to step Sa7, where,
step Sa7 is to end the current hidden danger detection process.
Also included are methods of safe production, wherein,
the method comprises the following steps:
step Sb 1: newly building a project;
step Sb 2: monitoring the new project in the step Sb 1;
step Sb 3: carrying out abnormal data statistics;
step Sb 4: entering a grading system for analysis and comparison;
step Sb 5: obtaining a project rank;
step Sb 6: comparing the items;
step Sb 7: the current item is ended.
Further, in the step Sa3, if the uploading risk fails, the step Sa2 is returned to perform uploading again.
In the step Sa5, if the hidden trouble is not solved, the hidden trouble is returned to the hidden trouble list in the step Sa 4.
In the step Sb3, if abnormal data statistics does not result in abnormal data, the process returns to the step Sb2 to continue monitoring, and if abnormal data are obtained or found, the process proceeds to the step Sb 4.
In the step Sb5, if the leaderboard of the project cannot be obtained, the process returns to the step Sb4 to continue the scoring system analysis and comparison, and if the leaderboard of the project is obtained, the process proceeds to the step Sb6 to perform the project comparison.
Specifically, in the step Sa1 and the step Sb2, the data to be monitored or monitored includes: wind speed detected by a sensor, inclination detected by a sensor and a value of sedimentation detected by a sensor.
The invention utilizes AI driving block chain technology to monitor the construction site comprehensively, and can monitor all construction site projects in real time. The detected information is recorded on the block chain, and the information is transmitted to other equipment through the Internet of things, so that the safety production guarantee is provided for the promotion of future urban development, and important influence is generated; the block chain technology improves the safety of data of artificial intelligence, accelerates the accumulation of data, provides strong data support for the artificial intelligence and solves the data supply problem of AI; the block chain technology creatively builds a non-centralized, distributed, joint participation and supervision consensus responsibility mechanism, can help realize a multi-layer cooperation and multi-head interconnection public responsibility mechanism, strengthens the democratic property of public decision and the responsibility of a decision maker for assisting ordinary people to develop; the sensors of various types detect wind speed, inclination, sedimentation value and the like, and the behavior recognition and behavior linkage are realized by utilizing a camera and an algorithm, so that the safety production of a construction site is guaranteed; the block chain technology can effectively classify and arrange the transmission information in the building field, can also improve the safety of the information, avoids the occurrence of some hidden trouble accidents, and ensures the production safety. The characteristics of decentralization, node storage and the like applied to the block chain technology are beneficial to realizing safety guarantee for private data, and the condition of data loss caused by a central structure can be basically avoided. The blockchain can effectively store the original data of user transaction for a long time, so that convenience is created for the user to acquire related data information, and the blockchain is beneficial to effectively managing own privacy information. With the continuous optimization and upgrading of communication technology, users can transmit a large amount of information in an efficient environment. The popularization of the Internet of things is facilitated; the block chain can effectively improve the safety of data management, storage and transmission in the edge artificial intelligence computing system; in order to promote the development of edge artificial intelligence computation, the core of artificial intelligence, namely information and data, is indispensable, and the blockchain can effectively stimulate the sharing and exchange of the information and the data in the edge intelligent scene. In addition, research indicates that the blockchain can improve the trust of the artificial intelligence model and is beneficial to optimizing the artificial intelligence model; the method can provide help for data right determination when applied to the enterprise safety production informatization construction process, improves the data circulation efficiency, and simultaneously improves the accuracy of the processes of data generation, replacement, modification, update, utilization and the like; the data can be further encrypted by the aid of a Hash encryption algorithm, and privacy data or confidential information possibly existing in the data can be desensitized to a certain extent in the circulation process. In addition, the role division can be realized by means of the asymmetric encryption technology, and the method has important application value for refining the data operation authority. Therefore, for the enterprise, the method can greatly reduce the worry and trouble of the enterprise about the data security related problems; by means of the intelligent contract technology, shared data rules agreed in advance among enterprises can be executed and managed, the possibility of human interference factors is reduced, and a high-trust data sharing platform is constructed. The block chain technology can effectively classify and arrange the transmission information in the building field, can also improve the safety of the information, avoids the occurrence of some hidden trouble accidents, and ensures the production safety. The characteristics of decentralization, node storage and the like applied to the block chain technology are beneficial to realizing safety guarantee for private data, and the condition of data loss caused by a central structure can be basically avoided. The blockchain can effectively store the original data of user transaction for a long time, so that convenience is created for the user to acquire related data information, and the blockchain is beneficial to effectively managing own privacy information. With the continuous optimization and upgrading of communication technology, users can transmit a large amount of information in an efficient environment. The popularization of the Internet of things is facilitated, and the Internet of things still faces huge potential safety hazards due to the influence of some uncontrollable factors. The blockchain technology can realize payment of P2P without intervention of a third party, and mutual trust of both users is guaranteed through characteristics of distrust and intelligent contracts of the blockchain technology. The internet of things service has penetrated into the lives of people, such as block chains and intelligent equipment, various sensors for building sites researched by Shanghai Haofu research institute for detecting wind speed, gradient, settlement value and the like, and behavior recognition and behavior linkage are realized by utilizing a camera in combination with an algorithm, so that the safe production of the building sites is guaranteed.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A safety production management method based on an artificial intelligence driving block chain is characterized by comprising a main line monitoring method, wherein,
the method comprises the following steps:
step Sa 1: starting to monitor;
step Sa 2: uploading hidden danger data;
step Sa 3: judging whether the data in the step Sa2 is uploaded successfully;
step Sa 4: forming a hidden danger list;
step Sa 5: judging whether the hidden danger in the step Sa4 is solved;
step Sa 6: the hidden trouble resolution process proceeds to step Sa7, where,
step Sa7 is to end the current hidden danger detection process.
2. The method for managing safety production based on artificial intelligence driven block chain according to claim 1, comprising a safety production method, wherein,
the method comprises the following steps:
step Sb 1: newly building a project;
step Sb 2: monitoring the new project in the step Sb 1;
step Sb 3: carrying out abnormal data statistics;
step Sb 4: entering a grading system for analysis and comparison;
step Sb 5: obtaining a project rank;
step Sb 6: comparing the items;
step Sb 7: the current item is ended.
3. The method for safety production management based on artificial intelligence driven block chain according to claim 1, wherein in the step Sa3, if uploading hidden trouble fails, the method returns to the step Sa2 to upload hidden trouble again.
4. The method for safety production management based on artificial intelligence driven block chain according to claim 1, wherein in step Sa5, if the hidden trouble is not solved, the hidden trouble is returned to the hidden trouble list in step Sa 4.
5. The method for managing safety production based on artificial intelligence driven block chain according to claim 2, wherein in step Sb3, if abnormal data statistics does not result in abnormal data, the method returns to step Sb2 to continue monitoring, and if abnormal data is found or found, the method goes to step Sb 4.
6. The method as claimed in claim 2, wherein in step Sb5, if no leaderboard is available, the method returns to step Sb4 to continue the scoring system analysis and comparison, and if a leaderboard is available, the method proceeds to step Sb6 to compare.
7. The method for the management of the production safety based on the artificial intelligence driven block chain according to claims 1-6, wherein the data monitored or monitored in the steps Sa1 and Sb2 comprises: wind speed detected by a sensor, inclination detected by a sensor and a value of sedimentation detected by a sensor.
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|---|---|---|---|---|
| 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 |
| CN104750081A (en) * | 2015-04-07 | 2015-07-01 | 四川云锁科技有限公司 | Unattended station intelligent management system and control method based on remote terminal control |
| CN107993014A (en) * | 2017-12-07 | 2018-05-04 | 重庆天府矿业有限责任公司 | A kind of procedural style goes into operation safely management-control method and system |
| CN108038809A (en) * | 2017-12-07 | 2018-05-15 | 重庆天府矿业有限责任公司 | A kind of intellectual accident potential's investigation administering method and system |
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